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Module 1Day 1 of 90

M1: The Wholesale Account Mix Autopsy — Why 60% Spot-Buy POs Means You're Running a Lead-Gen Business, Not a Distribution Business

⏱️ Time Required: 45 minutes reading + 75 minutes action = 2 hours total

🎯 Today's Promise: By bedtime tonight, you will know — to the dollar and to the percentage point — exactly what your account mix actually looks like, exactly how much revenue you're leaving on the table by running a transactional spot-buy business instead of a category-partner distribution business, and exactly which 5 accounts you need to convert to stocking programs in the next 30 days to recover $180,000+ in annualized revenue. You will not "understand" this. You will have the spreadsheet open, the percentages calculated, the gap sized, and the next call on the calendar.

📊 Today's Win Condition: You have a one-page "Account Mix Autopsy" document on your desk (physical or digital) with these six numbers filled in from your own books, not estimates: (1) total active accounts in the last 90 days, (2) percentage of those accounts that placed only one PO, (3) average first-PO dollar value, (4) reorder rate within 90 days, (5) average annual revenue per stocking-program account, and (6) the dollar gap between your current 12-month revenue run-rate and the run-rate you'd have if your reorder rate matched the 55% benchmark. If you can't produce all six numbers tonight, you haven't completed Day 1.

PART 1: THE CONCEPT (3,200 words)

Underlying Business Principle: The Account Mix Diagnostic — Every Wholesale Book Is Either a Stocking Engine or a Spot-Buy Funnel, and the Difference Is a Multiple on Enterprise Value

Most distributors describe their business as "wholesale distribution." That phrase is doing a lot of cover for a math problem. The business that earns the label "distribution" — the one a strategic acquirer pays 6-9x EBITDA for, the one that pays the founder a $400K salary, the one that survives when a 10% national price war hits — runs on stocking-program accounts that reorder on a 30/60/90-day cadence into case-pack minimums. The business that gets stuck at $1.8M revenue forever — the one the founder can't sell for more than 2-3x, the one that bleeds $25K/month in rep-acquisition costs to replace churning accounts — runs on spot-buy POs that fire when the buyer remembers you exist, ships when the warehouse is open, and never reorders until next quarter's stockout.

The difference is not effort. The difference is not price. The difference is not even category — you can run a thriving distribution business in pet food, garden, hardware, specialty grocery, beauty, home goods, giftware, foodservice, or industrial MRO. The difference is the structural composition of your account book. A distributor with 40 accounts, 30 of which are on a 12-month stocking program with quarterly reorders and a minimum 4-case-pack per drop, has a business. A distributor with 400 accounts, 380 of which placed a single $2,400 spot-buy PO last year and never reordered, has a list. The list costs you $480 in customer acquisition cost per account, returns $2,400 once, and then requires you to spend another $480 to find the next one. That math — at scale — kills you.

Let me make the unit-economics comparison explicit. The wholesale trade association data (compiled by the National Association of Wholesaler-Distributors, or NAW, in their annual Distribution Industry Report) puts the average distributor's customer acquisition cost at roughly $480-$1,200 per B2B account, with the variance driven by channel mix (paid digital at the high end, manufacturer-rep referrals at the low end). A distributor spending 30% of revenue on customer acquisition — the median in your industry — earns back that CAC in the first 18 months of an account's life. Then the account either reorders (and the CAC is amortized across 3-5 years of revenue) or churns (and the entire CAC is written off, plus you spend another $480-$1,200 to replace them). At a 22% 90-day reorder rate, the median distributor writes off 78% of their acquisition spend every year. At a 55% reorder rate, they write off 45%. The difference is roughly $300K-$700K per year in retained acquisition value, on a $2M revenue base. That is the size of the lever.

Industry Translation: This Is Not a "Customer Service" Problem. It Is a Case-Pack-to-Reorder-Cadence Engineering Problem.

In b2b-wholesale, the term "account" obscures more than it reveals. The retail buyer at a 4-store regional garden chain who placed a single $3,200 PO for cedar raised-bed kits in March and hasn't ordered since is in your CRM as an "account." The category manager at a 22-store natural foods co-op who signed a 12-month stocking agreement with quarterly reorders of 6 cases per SKU across 14 SKUs is in your CRM as an "account." These are not the same business object. The first is a transaction. The second is a recurring revenue line. And — here's the part most distributors never see — the unit economics of acquiring the first is roughly the same as acquiring the second, which means every quarter you spend on a transactional lead-gen model instead of a category-partner stocking-program model is a quarter you are paying the same CAC to build a $3,200 customer instead of a $48,000 customer.

Let me make this concrete. Your industry operates on three reorder cadences and they are not interchangeable:

  • Spot-buy PO — Buyer remembers you exist, places a one-time order, often in response to a stockout or a seasonal push, ships within 2-3 weeks, no commitment beyond that PO. Average first-PO value in your industry: $3,200 (median across specialty/home goods/garden/hardware categories per industry comp data). Reorder rate within 90 days: 18-28% (the rest ghost).

  • Stocking program — Buyer commits to a 12-month agreement, agrees to reorder on a defined cadence (monthly, quarterly, or seasonal prebook), commits to a case-pack minimum per drop, often with a category-exclusivity clause. Average annual account value: $48,000 per scaffold's pricePoints. Reorder rate within 90 days: 90%+ (the contract is the trigger).

  • Exclusive territory — Buyer takes category exclusivity in a defined geography (a state, a region, a chain), commits to a minimum annual volume, often with a stocking-fee or annual slot fee paid up-front. Average annual value: $180,000-$850,000 per scaffold's pricePoints depending on territory size. Reorder rate: 100% by contract.

The structural lever that flips an account from spot-buy to stocking program is case-pack configuration. Your warehouse ships in cases. Your case-pack configuration is the unit of wholesale economics — it determines your pick-and-pack labor cost, your freight efficiency, your inventory turn, and the buyer's reorder friction. A buyer who can reorder a 6-case pack of an SKU with one PO line, a Net 30 payment term, and a scheduled quarterly delivery cadence is operating inside a stocking program. A buyer who has to call you, negotiate pricing each time, accept whatever case configuration you have on the floor, and pay Net 15 is operating in a spot-buy mode. The case-pack and the terms are the architectural elements that determine which mode the relationship lives in. Most distributors do not consciously design these — they let buyers dictate, and the result is 60-80% of accounts default to spot-buy because spot-buy is what you offer by default.

The other structural lever is payment terms. Net 30, Net 60, and 2/10 Net 30 (2% discount if paid in 10 days, otherwise Net 30) are the standard B2B wholesale terms. The terms you offer signal what kind of relationship you expect. Net 30 with no early-payment discount signals "I trust you to reorder, but I want to be paid promptly each time." Net 60 with a 2/10 Net 30 discount signals "I expect this to be a long-term relationship, and I'm willing to fund your cash flow in exchange for the discount." The 2% discount on early payment is significant: at a 12% annual cost of capital, paying 2% to accelerate a 30-day receivable by 20 days yields an effective annualized return of 36% — far above the cost of capital. A stocking-program account that pays within 10 days under 2/10 Net 30 effectively funds your working capital at 36% APR. That is part of the stocking-program unit economics that the spot-buy model never captures. When you flip a buyer to a stocking program with 2/10 Net 30 terms, you are not just securing future revenue — you are also securing 36% APR on your working capital. The accounting entry is "discount expense," but the cash flow is investment-grade.

Let me also address the third reorder cadence: prebook. Prebook is a hybrid between spot-buy and stocking program, common in seasonal categories (garden, holiday, giftware, apparel, sporting goods). The buyer commits to a specific delivery window (e.g., "ship August 1 for September retail floor set") and to a case-pack minimum, but does not commit to a year-long agreement. Prebook is a strong reorder mechanic — it locks a known delivery, a known price, and a known case-pack, but it does not lock the long-term relationship. Many distributors underuse prebook because they treat it as a seasonal concession ("we offer prebook in Q4 for Q1 floor set") rather than a structural lever ("we offer prebook year-round with multiple delivery windows to give the buyer flexibility"). The best-in-class distributors offer 4-6 prebook windows per year (Jan, Mar, Jun, Aug, Oct, Dec) tied to seasonal retail floor sets. The reorder rate on prebook accounts is typically 65-75% within 90 days of the prebook close — well above the 18-28% spot-buy rate, but below the 90%+ stocking-program rate. Prebook is the bridge from spot-buy to stocking program: a buyer who places 3 consecutive prebook orders is a stocking-program candidate.

The keystone margin is the third structural element. Keystone margin means selling at 2x cost (a product that costs you $10 to source is sold for $20 wholesale, allowing the retailer to sell for $40 at a 50% retail markup). Keystone is the industry standard for non-perishable, non-fashion wholesale goods. The keystone margin funds the distributor's gross margin (typically 30-40% of wholesale price), the retailer's gross margin (typically 50% of retail price), and any promotional or seasonal discounting. A buyer who understands the keystone math — that their $20 wholesale buy allows them to retail at $40 with 50% margin — is a buyer who can run a stocking program. A buyer who fights the keystone math and demands 60-65% margin is a spot-buy buyer who will churn the moment a competitor offers 2-3% off. The keystone conversation is part of the stocking-program pitch (Day 2). The keystone math is part of the autopsy because it tells you which of your existing accounts understand wholesale economics (the stocking-program candidates) vs which are buying on price (the spot-buy churners).

The structural lever that flips an account from spot-buy to stocking program is case-pack configuration. Your warehouse ships in cases. Your case-pack configuration is the unit of wholesale economics — it determines your pick-and-pack labor cost, your freight efficiency, your inventory turn, and the buyer's reorder friction. A buyer who can reorder a 6-case pack of an SKU with one PO line, a Net 30 payment term, and a scheduled quarterly delivery cadence is operating inside a stocking program. A buyer who has to call you, negotiate pricing each time, accept whatever case configuration you have on the floor, and pay Net 15 is operating in a spot-buy mode. The case-pack and the terms are the architectural elements that determine which mode the relationship lives in. Most distributors do not consciously design these — they let buyers dictate, and the result is 60-80% of accounts default to spot-buy because spot-buy is what you offer by default.

Why Most b2b-wholesale Operators Get This Wrong: They Measure the Wrong Number

Here is the diagnostic that will tell you, in five minutes, whether you are running a distribution business or a lead-gen business. Calculate your reorder rate within 90 days of first PO. Not within 12 months. Within 90 days. The 12-month number is a vanity metric — it includes the seasonal prebook orders and the Q4 holiday restocks that fire whether or not you have a real relationship. The 90-day number is the truth. If your 90-day reorder rate is under 35%, you are not running a distribution business. You are running a transactional lead-gen business that happens to sell wholesale quantities. The product is the same. The warehouse is the same. The reps are the same. But the economic engine is identical to a B2B lead-gen shop that closes 30% of inbound demos — you acquire, you transact once, you lose, you re-acquire.

The mistake most operators make is measuring the wrong number. They look at total revenue, or monthly revenue, or year-over-year growth. Those are outcome metrics. They tell you what happened, not why. The why lives in the reorder rate. The reorder rate tells you whether the engine is durable or whether every month's revenue is a new acquisition battle. And — critically — the reorder rate is the only metric that predicts next year's revenue with reasonable accuracy. If you have 200 active accounts and a 55% reorder rate, you can forecast next year by saying: "of these 200, roughly 110 will reorder at least once, of those 110 roughly 60 will reorder 2+ times, of those 60 roughly 25 will reorder 4+ times." The bottom of the pyramid is your stocking-program pipeline. The middle is your repeat-spot-buy pipeline. The top is your growth engine. Without a reorder rate, you can't build that pyramid. With it, you can plan capacity, hire reps, buy inventory, and negotiate manufacturer terms with confidence.

The top quartile of distributors in your category operate at a 55%+ 90-day reorder rate. The top decile operates at 70%+. And the way they got there was not by running a better warehouse or hiring better reps. They got there by structuring the offer so the default outcome is a stocking program, not a spot-buy. The offer is the lever. The reorder rate is the score.

Here is the deeper mistake most operators make: they treat the reorder rate as a "customer success" metric. It is not. It is a sales offer design metric. The reorder rate is determined at the moment of the first PO — by what the buyer agreed to (case-pack? cadence? contract?), not by what happens 60-90 days later. A buyer who agreed to a one-time PO with no reorder commitment will ghost 78% of the time. A buyer who agreed to a quarterly case-pack drop on a 12-month agreement will reorder 90%+ of the time. The reorder rate is baked in at the offer stage. Most distributors, however, are organized to optimize the wrong stage of the funnel. They invest in customer-success reps (who are tasked with "rescuing" accounts that are about to churn) instead of investing in offer design and rep training (which would prevent the churn in the first place). The shift from a customer-success-led retention model to an offer-led acquisition model is the most leveraged strategic move a wholesale distributor can make. And it starts with the autopsy — measuring the reorder rate, attributing it to the offer that produced it, and redesigning the offer so the default outcome is a stocking program.

A second mistake operators make: they treat the reorder rate as a property of the buyer ("some buyers reorder, some don't") instead of a property of the offer ("this offer produces a 67% reorder rate; that offer produces 19%"). The buyer's natural inclination to reorder is roughly the same across your entire book — most retail buyers are not strategic about supplier relationships; they buy from whoever makes it easy. If you make it easy to reorder (stocking program with case-pack, Net 30, and a scheduled cadence), they reorder. If you make it hard (spot-buy with negotiated pricing and ad-hoc shipping), they don't. The reorder rate is in your control, not the buyer's. The autopsy makes this concrete by attributing reorder rate to the offer structure, not to the buyer's personality.

A third mistake: distributors measure reorder rate annually or quarterly instead of monthly. The annual measurement is too late to fix anything — by the time you realize you have a 22% reorder rate in February, the 78% of accounts that ghosted in Q4 are already gone, and the next 90 days of acquisition has already happened at the same broken offer. Monthly measurement is the cadence that allows in-flight corrections. The dashboard you build tonight is a monthly dashboard. The 12-month retrospective is a secondary view. The monthly is the operating cadence.

A fourth mistake: distributors treat the reorder rate as a marketing metric instead of a sales-offer metric. Marketing can run campaigns, content, and trade-show booths — none of which move the reorder rate by more than 2-4 percentage points. The reorder rate is moved by sales offer design: the structure of the agreement, the case-pack configuration, the payment terms, the reorder cadence, the category-exclusivity conversation. A distributor who assigns "fix the reorder rate" to the marketing team is misdiagnosing the lever. The lever is in sales, not marketing. The Day 2-7 work targets sales offer design. Marketing's role (Day 5's trade-show rebuild, Day 6's content engine) is to feed the top of the funnel with more of the right kind of buyer. The reorder mechanic is sales's job.

A fifth mistake: distributors treat the reorder rate as a problem to be solved once, not a system to be maintained. The 90-day reorder rate doesn't stay fixed — it drifts up or down based on the offers the sales team is currently pitching, the acquisition channels currently producing accounts, and the seasonal pattern of the buyer's purchasing calendar. The monthly re-run is the system that catches the drift. A distributor who runs the autopsy in January, sees a 22% rate, and assumes the number will hold through Q4 will be surprised in October when the rate has fallen to 18% (because the seasonal acquisition pattern shifted). The monthly re-run is the early-warning system. The first Monday of each month, you re-measure. If the rate is falling, you diagnose. If it's rising, you document what worked. The dashboard is the system. The system is the transformation.

The b2b-wholesale Opportunity: The Gap Is Multiplied Across Your Entire Book

Let me show you the math on the gap. Use your own numbers, but here's the worked example for a typical $1.8M-revenue distributor in specialty/home goods:

  • Current book: 180 active accounts in the trailing 12 months. 60% (108 accounts) placed a single PO. 40% (72 accounts) placed 2+ POs. 90-day reorder rate: 22%. Average first-PO value: $3,200. Stocking-program accounts: 8 (4.4% of book). Total annual revenue: $1.8M.

  • Re-run with 55% reorder rate (top quartile) and 25% of book on stocking programs: 180 accounts, 99 place single POs, 81 reorder, 45 of those reorderers are on stocking programs at $48,000/year average, 36 are repeat spot-buy at $4,800/year average. Total annual revenue: $2.39M from the same acquisition spend.

  • The gap: $590,000 in annualized revenue — recovered not by hiring a new rep, not by spending more on trade shows, not by lowering prices, but by re-engineering the reorder trigger.

Multiply that across a 3-year hold and the enterprise value swing is $1.5-2.5M (at 6-8x EBITDA on a ~30% margin lift). This is not a "marketing optimization." This is the difference between a business you can sell and a business that owns you until you walk away.

The opportunity is even larger when you stack the levers. The above calculation only adjusts the reorder rate. It does not adjust the average annual revenue per account. It does not adjust the cash conversion cycle. It does not adjust the acquisition cost. If you lift reorder rate to 55%, lift the average annual revenue per stocking-program account from $48K to $52K (via modest private-label introduction — Day 4's work), cut cash conversion cycle from 66 days to 58 days (via predictable reorders enabling better manufacturer terms), and cut acquisition cost from $480 to $340 (via more referral and rep-agency sourced accounts), the combined lift on a $1.8M base is closer to $1.0-1.2M annualized revenue with $200K+ in working capital freed. None of those adjustments requires new products, new categories, or new reps. They all require a re-engineered offer and a re-engineered acquisition spend mix. That is what the next 89 days of this program build.

A fourth reason the gap matters: it compounds at a multiple the founder often doesn't model. The gap isn't just "this year's revenue is $590K below potential." It's "every year I stay in this state, I'm forgoing $590K AND the cumulative reorders those accounts would have produced in years 2-5." A stocking-program account that produces $48K in year 1 typically produces $52-58K in year 2 (mild growth as the buyer gets comfortable with the program) and $60-72K in years 3-5 (the buyer expands the case-pack, adds SKUs, increases the reorder cadence). The 5-year lifetime value of a stocking-program account is in the $280-340K range. The 5-year lifetime value of a spot-buy account that reorders once is in the $4-6K range. The 50-70x LTV differential is the deepest number in this entire program. A distributor who converts 10 spot-buy accounts to stocking programs in the next 90 days is not just adding $480K in year-1 stocking-program revenue — they are adding $2.5-3.0M in 5-year cumulative revenue. That is the multiple that makes the enterprise value math what it is.

The opportunity is also constrained by category. Some categories (specialty foods, garden, premium giftware) have higher natural reorder mechanics than others (commoditized MRO, low-margin industrial, fashion). A specialty foods distributor converting 10 accounts to stocking programs can expect 90%+ reorder rate. An industrial MRO distributor converting 10 accounts to stocking programs can expect 65-75% reorder rate (the buyer has more competing suppliers, and the category is more price-sensitive). The autopsy should be calibrated to the category benchmark, not the universal 55% benchmark. A specialty foods distributor with 35% reorder rate is in worse shape than an industrial MRO distributor with 35% reorder rate — because the specialty foods category supports a 65%+ natural rate, and the industrial MRO category supports a 40-50% natural rate. Your category benchmark lives in the industry comp data (NAW, trade associations, your manufacturer's internal reports) and in your own cohort analysis (Method 7). The autopsy captures the gap; the category benchmark calibrates the gap.

The opportunity also varies by acquisition source. A distributor acquiring accounts from manufacturer rep partnerships (the 1099 channel — independent sales reps who carry your line alongside complementary lines) typically sees 65-78% reorder rate. A distributor acquiring from cold calls sees 18-22%. A distributor acquiring from trade shows sees 40-55%. The 50-percentage-point gap between rep-sourced and cold-call-sourced accounts is the single largest reorder-rate lever in the book. Rep-sourced accounts arrive pre-sold (the rep has already introduced you, the buyer has already expressed interest), and the trust transfer reduces the friction that kills most cold-call relationships. The implication: doubling down on rep-agency partnerships (Day 7's M11 work) is one of the highest-ROI moves in the entire 90-day program. A distributor who currently gets 8% of new accounts from reps can typically grow that to 25-35% within 6-9 months, which produces a 3-5 percentage point lift in overall reorder rate on the same acquisition volume.

The opportunity is also a function of the founder's willingness to redesign the offer. Most distributors treat the offer as a fixed thing — "this is what we sell, this is how we price it, take it or leave it." That mindset is the root cause of the 22% reorder rate. The offer is the lever. The offer can be redesigned in 30 days. The offer redesign does not require new products, new categories, new reps, or new buyers. It requires the founder to make 4-5 deliberate choices: (1) the case-pack configuration, (2) the reorder cadence, (3) the payment terms, (4) the category-exclusivity conversation, (5) the contract structure. Each of these is a design choice. Each can be made deliberately. The composite is the offer. The offer produces the reorder rate. The reorder rate produces the enterprise value. The chain of causation is short. The work of the next 89 days is the design of the offer. The autopsy is the diagnostic that tells you the offer needs to be redesigned. The redesign is the work.

A Note on Founder Psychology and the Autopsy:

The hardest part of Day 1 is not the 75 minutes of spreadsheet work. The hardest part is confronting the gap. Most founders have a mental model of their business that is rosier than the data. The mental model says "we have 200 accounts and most of them reorder." The data says "we have 200 accounts and 22% reorder, which means 156 ghosted." The gap between the mental model and the data is the most uncomfortable part of the autopsy. Distributors who run the autopsy and don't like what they see will be tempted to: (a) re-define the metric until it shows a rosier number, (b) discount the data as "not representative," (c) blame the buyers for being disloyal, (d) promise themselves to fix it "next quarter." All four are avoidance behaviors. The autopsy is a mirror. The mirror shows what is. What is, is what you work with. The work starts tonight, with the data as it is, not as you wish it were.

The second psychological trap is the comparison to other distributors. A founder who runs the autopsy and discovers a 22% reorder rate will think "but my competitor is at 35% — I must be doing something fundamentally wrong." The comparison is natural but unhelpful. The benchmark is the 55% top-quartile, not your competitor's number. Your competitor's number is one data point; the 55% benchmark is an industry-wide standard. Calibrate to the benchmark, not to the competitor. The competitor may also be running a lead-gen business — you just don't have visibility into their data.

The third psychological trap is the "I'll fix it once I have more accounts" deferral. A founder with 60 accounts will say "the autopsy isn't reliable with 60 accounts; I need 200 to get a real signal." The autopsy is reliable enough at 60 accounts to be directionally useful. The directional insight (most of my accounts are spot-buy, my reorder rate is below benchmark, my stocking-program concentration is low) is actionable even at 60 accounts. The action is the same: convert the warmest 3-5 accounts to stocking programs, re-pitch the offer, re-measure. The 30-day priority doesn't change based on book size. The conversion math does scale, but the offer design and the re-measurement cadence are universal.

Today's job is the autopsy. You are going to open your books, calculate your real numbers, and size the gap. Tomorrow (Day 2) we engineer the 22-minute buyer call that flips spot-buy accounts into stocking programs. Day 3 we map the 6 buyers in your territory who will pay for exclusive rights. Day 4 we build the private-label engine. Day 5 we rebuild trade-show ROI. But none of those levers work if you don't know — precisely, numerically, in your own books — what your current account mix actually looks like.

The opportunity is even larger when you stack the levers. The above calculation only adjusts the reorder rate. It does not adjust the average annual revenue per account. It does not adjust the cash conversion cycle. It does not adjust the acquisition cost. If you lift reorder rate to 55%, lift the average annual revenue per stocking-program account from $48K to $52K (via modest private-label introduction — Day 4's work), cut cash conversion cycle from 66 days to 58 days (via predictable reorders enabling better manufacturer terms), and cut acquisition cost from $480 to $340 (via more referral and rep-agency sourced accounts), the combined lift on a $1.8M base is closer to $1.0-1.2M annualized revenue with $200K+ in working capital freed. None of those adjustments requires new products, new categories, or new reps. They all require a re-engineered offer and a re-engineered acquisition spend mix. That is what the next 89 days of this program build.

Today's job is the autopsy. You are going to open your books, calculate your real numbers, and size the gap. Tomorrow (Day 2) we engineer the 22-minute buyer call that flips spot-buy accounts into stocking programs. Day 3 we map the 6 buyers in your territory who will pay for exclusive rights. Day 4 we build the private-label engine. Day 5 we rebuild trade-show ROI. But none of those levers work if you don't know — precisely, numerically, in your own books — what your current account mix actually looks like.

The other reason today's autopsy matters: it is the only way to know whether the next 89 days of work are aimed at the right target. A distributor with a 22% reorder rate needs the offer rebuild (M1 work, Days 1-8) before anything else. A distributor with a 48% reorder rate needs the rep-pitch rebuild (M1 + M6) and the catalog re-architecture (Day 2 extension). A distributor with a 62% reorder rate needs the retention expansion (M8) and the territory-rights negotiation (M8 + M3). The autopsy classifies your business. The classification tells you which 30-60-90-day work is highest priority. Without the autopsy, you are working the program in the wrong order for your business — which is the most common failure mode of distributors who take courses like this one and don't see results.

PART 2: IMPLEMENTATION METHODS (14,800 words)

The Account Mix Autopsy for b2b-wholesale Distributors: Your Complete Implementation Menu

You have 12 distinct methods below for running the autopsy. Pick the ones that match your book size, your tech stack, and your time. Each method ends with a specific number you can write on your worksheet. The methods are not redundant — each one produces a different slice of the same picture. A complete autopsy uses 3-4 of them in sequence. The minimum viable autopsy is Method 1 (the manual spreadsheet) plus Method 5 (the 90-day reorder calculation). That pair takes 75 minutes and gives you the headline number. The remaining 10 methods are diagnostic depth.

Method 1: The One-Night Spreadsheet Autopsy (Manual, Free, Universal)

├─ What it is: A 7-column Excel or Google Sheet built from your own PO log, customer list, or accounting export, sliced to give you the six headline numbers for tonight's worksheet.

├─ Best for: Every distributor regardless of book size, ERP, or team. The fastest way to convert "I think my reorder rate is around 30%" into "My reorder rate is 22.4% based on 178 accounts and 1,247 line items."

├─ Setup time: 90 minutes for a 200-account book; 4 hours for a 1,000+ account book.

├─ Cost: Free (Excel, Google Sheets, or Numbers).

├─ Expected impact: Produces the 6 headline numbers in the win condition. This is the data layer for Days 2-30.

├─ Step-by-step:

1

Export your full customer list from your accounting system (QuickBooks, Xero, Sage), ERP (Fishbowl, Unleashed, SAP Business One), or order-management tool (Shopify B2B, Orderhive, Cin7). The list needs at minimum: customer name, account ID, first PO date, last PO date, total POs in trailing 12 months, total revenue trailing 12 months. If your system doesn't have "first PO date" as a column, you can derive it by sorting by date and identifying the earliest PO per account ID — a 15-minute manual exercise in Excel's pivot table or a 5-minute VLOOKUP exercise for anyone who knows the basics.

2

Create a new Google Sheet titled "Day 1 Account Mix Autopsy." Put one column per data point from the export. Add a 7th column: "Reordered within 90 days? (Y/N)" — manually mark this for each account by comparing first PO date + 90 days against the next PO date for that account. To do this efficiently, sort the sheet by account ID, then for each account scan the PO dates in chronological order. If the second PO falls within 90 days of the first, mark Y. If the second PO falls outside 90 days, or if there is no second PO, mark N. For accounts with many POs, the Y/N decision is binary: at least one reorder within 90 days = Y.

3

Add a summary block at the top of the sheet (rows 1-12): Count total active accounts (=COUNTA(account_ID_range)). Count single-PO accounts (=COUNTIF(PO_count_range,1)). Count multi-PO accounts (=COUNTIF(PO_count_range, ">1")). Count stocking-program accounts (manually mark these with a flag in a new column or filter by agreement-type tag). For accounts flagged as stocking programs, the "Reordered within 90 days" answer is virtually always Y — but include them in the calculation for completeness, and add a sub-calculation excluding stocking programs (this is the "organic reorder rate" — what your non-contracted accounts do on their own).

4

Calculate reorder rate within 90 days: (Count of "Y" in the 90-day column) ÷ (Count of total active accounts) × 100. Round to one decimal. Then calculate the organic reorder rate (excluding stocking-program accounts): (Count of "Y" for non-stocking accounts) ÷ (Count of total non-stocking accounts) × 100. The organic rate is the diagnostic for whether the reorder mechanic is structural (works without a contract) or only contract-driven.

5

Calculate average first-PO value: (=AVERAGEIFS(revenue_range, PO_count_range, 1)). This gives you the average revenue of accounts that placed exactly one PO. Subtract that from the average of multi-PO accounts to see the reorder premium. If single-PO average is $3,200 and multi-PO average is $14,800, the reorder premium is $11,600 per account. Multiply that by the number of accounts you could realistically convert to reorders and you have your revenue opportunity sized.

6

Calculate stocking-program annual account value: (=AVERAGEIFS(revenue_range, agreement_type_range, "stocking")). If you don't have an agreement-type column, identify these manually by name and use =AVERAGE on the revenue column for those rows. The stocking-program annual value is the unit of comparison for what a "real" distribution account is worth.

7

Save the file. Email it to yourself. Print page 1 (the summary block) and tape it to the wall above your monitor. This is the document you will reference every morning for the next 90 days. The visual reminder is critical — you will be tempted to revert to "I think my reorder rate is fine" thinking within 3 days. The number on the wall kills that.

└─ Example: A specialty foods distributor in Pacific Northwest with 142 active accounts exports QuickBooks data, finds 87 single-PO accounts (61% of book), 55 multi-PO accounts (39%), and 4 stocking-program accounts. 90-day reorder rate: 24%. Average first-PO value: $2,950. Stocking-program account value: $52,000/year. Gap vs 55% reorder benchmark: roughly $310K annualized revenue. This is the number that justifies the next 89 days of work. The founder prints the summary page and tacks it next to her monitor. By Day 8, when she reviews progress, she has a 25% reorder rate target written in red pen below the actual number. By Day 30, after the stocking-program rebuild, the number has moved to 31%. By Day 60, after the catalog re-architecture, it is at 41%. By Day 90, it is at 48% — a 24-percentage-point lift, translating to $540K+ in annualized revenue recovery.

Method 2: The Fishbowl Inventory Export Autopsy (Tech-Enabled, Native to Your ERP)

├─ What it is: A pre-built report inside Fishbowl Inventory (the most common wholesale ERP, used by roughly 18% of NAW-member distributors per industry surveys) that produces a customer-by-customer reorder analysis with one SQL-style report. Works if you have Fishbowl, Unleashed, or SAP Business One.

├─ Best for: Distributors already on Fishbowl/Unleashed/SAP Business One with 200+ accounts. The native report is faster than a manual spreadsheet but produces the same six numbers.

├─ Setup time: 30 minutes to configure the report; 60 minutes to interpret it.

├─ Cost: Free (built into your existing ERP subscription).

├─ Expected impact: Identifies reorder rate, average first-PO value, and stocking-program concentration in 90 minutes. Plus: identifies the 20% of accounts producing 80% of reorder revenue — the protected list.

├─ Step-by-step:

1

Open Fishbowl → Reports → Custom Report. Build a report on the SO (Sales Order) table joined to the Customer table. Pull: Customer Name, SO Count trailing 12 months, First SO Date, Last SO Date, Total Revenue trailing 12 months, Customer Type (or Agreement Type if you tag it). If you are on Unleashed, the report path is Reports → Sales → Customer Purchase History. If you are on SAP Business One, the path is Sales → Reports → Customer Sales Analysis. The query logic is the same: customer-level aggregation of SO data with first/last date and revenue.

2

Add a calculated field: "Days Between First and Second SO" (=Last SO Date - First SO Date). Sort ascending. The accounts with the smallest "Days Between" are your power reorderers. The accounts with the largest "Days Between" or with only one SO are your spot-buy accounts. The accounts with "Days Between" greater than 365 or null are your churned accounts.

3

Export to CSV. Open in Excel. Add the 90-day reorder column from Method 1. Filter to "Customer Type = Stocking Program." Calculate the average revenue for that subset. Calculate the average revenue for "Customer Type = Spot-Buy / Open Account." The ratio is your stocking-program revenue multiplier. Typical multiplier in healthy distribution businesses: 8-15x (a stocking-program account is worth 8-15x a single-PO account over a 12-month period).

4

Pivot the data: Rows = Customer, Columns = Quarter. Each cell = total revenue. Accounts with 3+ quarters of non-zero revenue are reorder accounts. Accounts with 1 quarter only are spot-buy. This is a visual heatmap of your book. The heatmap, viewed by leadership, is the most powerful communication tool in the entire program. A 5-minute look at the heatmap tells the entire leadership team what 50 pages of analysis cannot: which accounts are protected, which are at risk, and which need urgent intervention.

5

Save the report. Schedule it to run monthly. This becomes your standing reorder-rate dashboard for the next 90 days. The cadence is important: monthly re-runs let you track the lift as you implement the stocking-program rebuild. A distributor who goes from 22% to 31% reorder rate over 60 days has visible progress; a distributor who doesn't re-measure has no idea whether the work is paying off.

└─ Example: A foodservice distributor running Fishbowl produces the report, discovers that 12% of accounts (the stocking-program subset) generate 58% of trailing-12-month revenue. The 88% open-account subset has a 19% 90-day reorder rate. The 12% subset has a 91% reorder rate. The contrast makes the stocking-program case obvious to anyone in the leadership meeting. The controller uses the heatmap to identify 4 specific accounts that look "on the edge" — accounts with 2 quarters of strong revenue followed by 1-2 quarters of decline. Those 4 accounts are the next 30 days' intervention targets. The sales manager uses the customer-type breakdown to redesign the rep commission model (stocking-program accounts pay a smaller up-front commission but a 7% trailing commission on reorders, vs the 12% one-time commission on spot-buys — rebalancing incentives toward the higher-LTV outcome).

Method 3: The QuickBooks Sales-by-Customer Pivot (Low-Tech, Free, Universal)

├─ What it is: A 4-step pivot table in QuickBooks Online or Desktop that produces reorder rate and average first-PO value in 45 minutes. Works for the 60% of small distributors still on QuickBooks.

├─ Best for: Distributors with <500 customers, on QuickBooks Online or Desktop, with 12+ months of history. The data is already in QuickBooks — you just need to pivot it.

├─ Setup time: 45 minutes.

├─ Cost: Free.

├─ Expected impact: Reorder rate, average revenue per account, identification of top-decile accounts. Sufficient to fill 4 of the 6 worksheet numbers.

├─ Step-by-step:

1

QuickBooks → Reports → Sales by Customer Summary. Set date range to "Last 12 months from today." Run report. If you are on QuickBooks Online, the path is Reports → Standard → Sales by Customer Summary. If you are on Desktop, the path is Reports → Sales → Sales by Customer. Both produce the same data structure.

2

Customize the report → add a "Count of Invoices" column. This shows how many invoices each customer had in the trailing 12 months. Customers with 1 invoice = spot-buy. Customers with 2+ invoices = reorders. Customers with 4+ invoices = likely stocking program. QuickBooks doesn't have a native "count of invoices per customer" column in the standard report, so you need to add it via the "Customize Report" → "Display" → "Columns" menu. If your version of QuickBooks doesn't support the column add, sort the report by customer name and manually count the invoice rows per customer — a 30-minute exercise for 240 accounts.

3

Export to Excel. Add a column: "Reorder Bucket" = IF(InvoiceCount = 1, "Spot-Buy", IF(InvoiceCount <= 3, "Repeat", "Stocking")). Use COUNTIF to count each bucket. The three buckets give you the segmentation for the rest of the program: Spot-Buy (Day 2's conversion target), Repeat (Day 2's near-term pipeline), Stocking (Day 6-8's retention and expansion target).

4

Reorder rate = (Count of Repeat + Count of Stocking) ÷ (Total Customer Count). Calculate average revenue for each bucket using AVERAGEIF. The bucket-level revenue comparison is the most important insight: the "Repeat" bucket is your highest-leverage pipeline because they have already reordered at least once — they are not cold prospects. They have proven they will reorder. The lever is to upgrade them from "Repeat" to "Stocking" via a 12-month agreement with quarterly cadence. A 1-percentage-point upgrade from Repeat to Stocking is worth roughly $432 in incremental annual revenue per account (the difference between a $7,400/year Repeat account and a $48,000/year Stocking account). For a 60-account Repeat bucket, that is $26K in annual revenue at 1% conversion — and the conversion rate from Repeat to Stocking is typically 15-30% in a well-executed rebuild.

└─ Example: A giftware distributor on QuickBooks Desktop with 240 active accounts finds: 156 spot-buy accounts (65%), 62 repeat accounts (26%), 22 stocking-program accounts (9%). Reorder rate: 35%. Average revenue per bucket: spot-buy $2,180, repeat $7,400, stocking $44,000. The "repeat" bucket is the pipeline for upgrading to stocking — Day 2's work. The 22 stocking-program accounts are protected, but their average revenue ($44K) is below the $48K benchmark — there is headroom to expand the stocking-program scope (Day 4's private-label work and Day 6's seasonal prebook work). The 156 spot-buy accounts are the cold prospects that need a Day 2 stocking-program pitch. The 62 repeat accounts are the warmest leads in the entire book — they have reordered without a contract. The Day 2-30 work targets these 62 first.

Method 4: The Shopify B2B or Cin7 Orderhive Sync (Tech-Enabled, Modern Stack)

├─ What it is: A native reorder analytics dashboard in Shopify B2B, Orderhive, Cin7, or Brightpearl. These tools track reorder rate, customer lifetime value, and account segmentation out of the box.

├─ Best for: Younger distributors (under 10 years old) running modern order-management stacks with B2B portals. Best when the buyer self-serves through a portal — the data is cleaner because every order is timestamped.

├─ Setup time: 20 minutes to enable the reorder report; 60 minutes to interpret.

├─ Cost: Free with your existing subscription.

├─ Expected impact: Real-time reorder dashboard, plus the cohort view (which month of acquisition produces the highest reorder rate — critical for forecasting).

├─ Step-by-step:

1

Open your OMS dashboard. Navigate to Reports → Customer Analytics → Repeat Purchase Rate. Set date range to trailing 12 months. If your OMS uses different terminology (Cin7 uses "Customer Reorder Rate," Orderhive uses "Repeat Customer %," Shopify B2B uses "Repeat Purchase Rate"), search for the term that combines "customer" with "reorder" or "repeat." If your OMS doesn't have a built-in reorder report, build one with the underlying customer table.

2

Export the underlying customer table. The columns you need: Customer ID, First Order Date, Last Order Date, Order Count trailing 12 months, Total Spend trailing 12 months, Customer Segment (auto-assigned by the OMS, but verify). The auto-assigned segments in most OMS tools (VIP, Wholesale, Retail, New) are not the same as the Lead-Gen/Transitional/Distribution classification from Method 12. Treat the OMS segments as a starting point, but build your own classification based on order cadence and contract status.

3

Add a calculated column: "Days since first order." Bucket: 0-90, 91-180, 181-365. The 0-90 bucket reorder rate is the headline number. Accounts in the 0-90 bucket with no second order are the "ghost" cohort — the highest-priority intervention targets. Accounts in the 91-180 bucket with a second order are your "warm" cohort — Day 2's stocking-program candidates.

4

Compare your 0-90 bucket reorder rate to the OMS's "Repeat Purchase Rate" metric. They should be within 2-3 percentage points. If they diverge, the OMS is using a different denominator (e.g., all-time vs trailing 12 months). Note which denominator you used on the worksheet. Consistency matters: if you change the denominator month-over-month, your reorder rate trend line becomes meaningless.

5

Save the customer-level data as a CSV. This is the raw file for the Day 30 Account Re-Autopsy. The Day 30 re-run will use the same query and the same denominator. The trend line (Day 1 reorder rate → Day 30 reorder rate → Day 60 → Day 90) is the proof of progress.

└─ Example: A specialty pet products distributor on Cin7 with 88 active accounts finds 0-90 day reorder rate of 31%, well below the 55% benchmark. The cohort view reveals that accounts acquired in Q1 (prebook season) have a 42% reorder rate vs Q3-acquired accounts at 17% — the seasonal acquisition pattern is the lever, not the offer. The distributor's sales manager, seeing this, proposes shifting 40% of the cold-call rep's time from summer to late winter (Q1 prebook season), when the buyers are actively planning seasonal assortments. The expected lift: 5-8 percentage points on the next 90-day reorder rate from acquisition-timing alone, before any offer change.

Method 5: The 90-Day Reorder Calculation (Solo, Fast, No Tech Required)

├─ What it is: A single manual calculation you can do tonight with a customer list and a calendar. This is the headline number — reorder rate within 90 days of first PO. It's the most important number in this entire program.

├─ Best for: Any distributor, any book size. This is the universal diagnostic.

├─ Setup time: 45 minutes for 100 accounts; 3 hours for 500+ accounts.

├─ Cost: Free.

├─ Expected impact: The single number that determines whether you are running a distribution business or a lead-gen business. Under 35% = lead-gen. 35-50% = transitional. 50%+ = distribution.

├─ Step-by-step:

1

Pull the list of accounts that placed their first-ever PO in the last 12 months. This is the cohort you're measuring. Use the formula: (First PO Date) is between (today minus 12 months) and (today minus 90 days). Accounts that placed their first PO in the last 90 days aren't eligible for the metric yet — they haven't had a chance to reorder. The cohort is the set of accounts that placed their first PO between 90 and 365 days ago. This is the only valid denominator for the metric.

2

For each eligible account, ask one question: Did this account place a second PO within 90 days of the first PO date? Mark Y or N. The "within 90 days" window is the strict test. If the second PO lands on day 91, it doesn't count. The 90-day threshold is the academic and industry standard for reorder measurement (Shopify's repeat-customer definition, Amazon's repeat-purchase definition, and most ERP customer-success dashboards all use 90 days as the reorder window).

3

Count Y's and N's. Reorder rate = Y ÷ (Y + N) × 100. Round to one decimal. This number, written on a piece of paper and taped to the wall, is the single most important number in the entire 90-day program.

4

Bucket the Y's: (a) Y with stocking agreement, (b) Y without stocking agreement. The (b) bucket is your pipeline for Day 2's stocking-program conversion. These are the accounts that reordered on their own, without a contract, which means they are pre-disposed to reorder — the friction is in the offer, not the buyer's intent.

5

Compare to the 55% benchmark. Calculate the gap. Calculate the revenue impact: (Number of accounts) × (Difference in reorder rate) × (Average first-PO value) × (Average reorder count in year 1) = Annualized revenue gap. The "average reorder count in year 1" is typically 1.5 for spot-buy accounts (most reorderers place 2 POs in the first year) and 4+ for stocking-program accounts (quarterly drops = 4 reorders per year). Use 1.5 in the formula for an apples-to-apples comparison.

6

Bonus diagnostic — the "ghost" cohort analysis. For accounts that did NOT reorder within 90 days (the N's), look at the 91-180 day window. Did they reorder in months 4-6? If yes, they are "warm ghosts" — buyers who took a beat but came back. The warm ghosts are the highest-conversion targets for Day 2's stocking-program pitch. If no, they are "cold ghosts" — buyers who are unlikely to reorder without a deliberate intervention (a re-engagement call, a new-SKU introduction, a price concession). Cold ghosts get re-marketed via a 90-day email nurture (Day 6's content engine); warm ghosts get the stocking-program pitch.

7

Bonus diagnostic — the "fast reorder" cohort. For accounts that DID reorder within 90 days (the Y's), measure the days between first and second PO. The accounts that reordered within 30 days are your "fast reorderers" — they are pre-disposed to ongoing engagement and are the easiest stocking-program conversions. The accounts that reordered at 60-90 days are your "considered reorderers" — they needed time to evaluate, and will need more hand-holding through the stocking-program pitch. Segment the Y's into fast vs considered; the fast cohort is your Day 2-7 priority.

└─ Example: A gift and home decor distributor with 78 first-PO-in-trailing-12-months accounts manually checks each: 19 reordered within 90 days (24%), 59 did not. The 55% benchmark target would be 43 reorders. Gap: 24 missed reorders × $3,200 average first-PO value × 1.5 reorder cycles in year 1 = $115,200 annualized revenue gap. That number goes on the worksheet tonight. The same distributor calculates: if I can convert 5 of the 59 non-reorderers to stocking programs (achieving 90%+ reorder rate on those 5), the additional revenue from those 5 accounts in year 1 is $5 × $48,000 = $240,000. The math flips. The stocking-program rebuild is not a 6-month project. It is a 30-day project with 5 specific accounts.

Method 6: The Stocking-Program Concentration Audit (Solo, Strategic, 60 Minutes)

├─ What it is: An analysis of what percentage of your trailing-12-month revenue comes from stocking-program accounts vs spot-buy accounts. The skew of this concentration is the second-most-important diagnostic.

├─ Best for: Distributors who have at least some stocking-program accounts (even 2-3) and want to know what fraction of revenue is "protected" vs "fragile."

├─ Setup time: 60 minutes.

├─ Cost: Free.

├─ Expected impact: Identifies the percentage of revenue that is contractually recurring vs the percentage that requires constant re-acquisition. Top-quartile distributors have 40%+ of revenue from stocking programs.

├─ Step-by-step:

1

From your customer list, identify every account with a signed stocking agreement. Flag with a "1" in a new column. Flag the rest with "0." If you have 14 stocking-program accounts and 206 spot-buy accounts, you have 14 "1"s and 206 "0"s. The flag is binary — either there's a signed agreement, or there isn't. Don't count "verbal commitments" or "implied arrangements" — those are spot-buy with a friendly relationship.

2

Sum trailing-12-month revenue for the flagged accounts (=SUMIF). That's your protected revenue. Sum trailing-12-month revenue for the unflagged accounts. That's your fragile revenue. The protected/fragile split is the diagnostic.

3

Calculate: Protected ÷ Total = Stocking-Program Revenue Concentration. Round to whole percentage. The benchmark for top-quartile distributors is 40%+ of revenue from stocking programs. The benchmark for top-decile is 60%+. If your number is under 20%, you are running a fragile book.

4

Repeat for customer count, not revenue: Count of stocking accounts ÷ Total accounts = Stocking-Program Customer Concentration. This is usually lower than the revenue concentration (stocking accounts are typically larger than spot-buy accounts on a per-account basis). The relationship between the two numbers tells you the leverage.

5

The gap between revenue concentration and customer concentration tells you the leverage. If 9% of accounts produce 41% of revenue, those 9% are your power accounts. If you doubled that 9% to 18%, your revenue would roughly double. This is the leverage math that justifies the stocking-program rebuild: the accounts that produce the most revenue are the accounts that have reordered the most, and getting more accounts to that behavior multiplies revenue at the source.

└─ Example: A hardware/industrial distributor with 220 active accounts has 14 stocking-program accounts (6.4% of book) generating $612K of $2.1M trailing-12-month revenue (29% of revenue). Doubling stocking accounts to 28 at the same $44K average = $1.23M protected revenue (59% of total) — same book, same acquisition spend, restructured offer. The distributor's CEO uses this number to make a hiring decision: rather than adding a 4th outside sales rep (which would add $80K in fully-loaded annual cost and produce maybe 30 new spot-buy accounts per year), the CEO reallocates the budget to a customer success rep whose job is to convert existing spot-buy accounts to stocking programs. The expected output: 14 stocking-program conversions in year 1, generating $616K in new protected revenue, on a $65K fully-loaded salary. The unit economics: 9.5x return on the customer-success-rep hire in year 1.

Method 7: The Cohort Reorder Analysis (Advanced, Time-Series, 3 Hours)

├─ What it is: A month-by-month acquisition cohort analysis that shows which months produce accounts with the highest reorder rate. The output is a heatmap: rows = acquisition month, columns = subsequent months, cells = reorder rate.

├─ Best for: Distributors with 24+ months of customer data and 50+ first-PO accounts per cohort. Best when you suspect seasonality drives reorder behavior (e.g., Q1 prebook buyers reorder better than Q3 impulse buyers).

├─ Setup time: 3 hours (one-time setup of the cohort pivot).

├─ Cost: Free (Excel pivot, Python pandas, or R).

├─ Expected impact: Reveals which acquisition month produces the highest-LTV accounts. Lets you concentrate trade-show spend, ad spend, and rep effort on the months that produce long-tail reorders. Often a 20-40% efficiency gain in acquisition spend.

├─ Step-by-step:

1

Pull all first-PO events for the trailing 24 months. One row per account: account_id, first_po_date, second_po_date (or null if no reorder), third_po_date, etc. If your data system doesn't store "second PO date" as a column, you can reconstruct it by sorting POs by date per account and taking the second row. The first-PO date is the start of the account's life; the subsequent PO dates are the reorder events.

2

In Excel: Add a column "Acquisition Cohort" = month-year of first PO (e.g., "2025-09"). Add a column "Reordered within 90 days" = Y/N (from Method 5). The cohort column is the row dimension of the heatmap. The reorder column is the metric.

3

Create a pivot table: Rows = Acquisition Cohort (sorted oldest to newest), Columns = "Reordered within 90 days" (Y/N), Values = Count of account_id. Add a calculated row at the bottom showing reorder rate per cohort. The pivot table is the data layer; the heatmap is the visualization.

4

Visualize as a heatmap: Green for high reorder rate (50%+), yellow for transitional (35-50%), red for transactional (under 35%). The pattern across months is the seasonality diagnostic. A distributor who sees "all green in Q1, all red in Q3" knows the seasonal acquisition pattern is the dominant variable. A distributor who sees "all red, all year" knows the offer is the problem.

5

Compare the high-reorder cohorts: What category was the buyer in? What was the acquisition source (trade show, cold call, referral)? What was the first-PO product mix? The answer is your "best customer profile" — and Day 2's work targets more accounts that look exactly like these. If your best-customer profile is "specialty boutique in the Pacific Northwest acquired at a February trade show via a referral from an existing customer," then your acquisition playbook for the next 90 days targets more specialty boutique accounts, more February trade show presence, and more deliberate referral-ask sequences with existing customers.

└─ Example: A specialty foods distributor in the Midwest with 24 months of data finds that accounts acquired in February-April (prebook season) have a 49% 90-day reorder rate, while accounts acquired in July-August have a 14% reorder rate. Same products, same reps, different season. The acquisition timing is the lever. The distributor's marketing manager, seeing this, proposes shifting the trade-show calendar to concentrate the budget in February-April. The expected impact: shift 25% of acquisition volume from low-reorder months to high-reorder months, lifting the blended 90-day reorder rate from 27% to 33% without changing a single offer or rep script.

Method 8: The Buyer-Archetype Reorder Split (Advanced, Strategically Critical, 2 Hours)

├─ What it is: A reorder rate calculation sliced by buyer archetype — independent retailer, regional chain, specialty boutique, e-commerce/Amazon seller, foodservice distributor, international importer. Each archetype has structurally different reorder mechanics.

├─ Best for: Distributors selling across 2+ of the 6 buyer archetypes (per scaffold's primaryCustomerTypes). This is the diagnostic that reveals which archetype is your highest-LTV segment and which is dragging your overall reorder rate down.

├─ Setup time: 2 hours (one-time setup).

├─ Cost: Free.

├─ Expected impact: Identifies the highest-LTV archetype (often specialty boutique or regional chain at 70%+ reorder rate, vs Amazon FBA sellers at 8% reorder rate). Lets you rebalance acquisition effort toward higher-LTV archetypes. Often a 2-3x revenue-per-acquired-account improvement.

├─ Step-by-step:

1

In your customer list, add a "Buyer Archetype" column. Tag each account: Independent Retailer, Regional Chain, Specialty Boutique, E-commerce/Amazon FBA, Foodservice Distributor, International Importer. (Reference scaffold.primaryCustomerTypes for definitions.) The tagging is the most time-consuming step (1-2 hours for a 200-account book), but it is also the most leveraged — the slice-by-archetype view tells you which segments to grow, which to maintain, and which to wind down.

2

Calculate reorder rate within 90 days per archetype (using Method 5's logic, filtered by archetype). Compare the six numbers. The archetype with the highest reorder rate is your "engine." The archetype with the lowest is your "drag."

3

Calculate average annual revenue per archetype. Compare the six numbers. The archetype with the highest revenue-per-account is your "power segment." The combination of high reorder rate and high revenue-per-account is your highest-leverage growth target.

4

The archetype with the highest revenue-per-account AND highest reorder rate is your power segment. The archetype with the lowest of both is your drag. The archetype with high reorder rate but low revenue-per-account is your upsell opportunity (Day 4's private-label work targets this bucket — a $3,400/year independent retailer with a 60% reorder rate is a private-label introduction away from a $14,000/year account). The archetype with high revenue-per-account but low reorder rate is your acquisition-spend leak (re-evaluate whether to keep spending on it).

5

Write the archetype analysis on the worksheet. The output is a 2x2 matrix: high/low reorder rate × high/low revenue per account. Each quadrant has a specific action: Power Segment = double acquisition effort. Upsell Opportunity = private-label introduction. Acquisition-Spend Leak = re-evaluate channel. Drag = deprioritize.

└─ Example: A giftware distributor with 180 active accounts across 4 archetypes finds: Specialty Boutique 22 accounts, 68% reorder rate, $61K average annual revenue. Regional Chain 14 accounts, 71% reorder rate, $127K average annual revenue. Independent Retailer 122 accounts, 19% reorder rate, $3,400 average annual revenue. E-commerce/Amazon 22 accounts, 9% reorder rate, $8,200 average annual revenue. The diagnostic screams: double down on specialty boutique and regional chain. Reduce Amazon FBA spend. Convert independent retailers via stocking programs (Day 2). The 22 specialty boutique accounts at 68% reorder rate and $61K average annual revenue are the engine — they produce $1.34M annualized revenue on 12% of the book. The 122 independent retailers at 19% reorder rate and $3,400 produce $415K annualized revenue on 68% of the book. The math is stark: the 12% of accounts that are specialty boutique produce 3.2x the revenue of the 68% that are independent retailers. The acquisition playbook for the next 90 days targets specialty boutique and regional chain exclusively.

Method 9: The Cash Conversion Cycle Diagnostic (Team-Based, Requires Finance Collaboration)

├─ What it is: An analysis of your trailing-12-month cash conversion cycle — days inventory outstanding + days sales outstanding minus days payable outstanding. The industry benchmark is 62 days. Top quartile is under 50 days.

├─ Best for: Distributors with $2M+ in revenue who have a CFO, controller, or outside bookkeeper. This is a finance-team diagnostic.

├─ Setup time: 90 minutes with your controller.

├─ Cost: Free (just time).

├─ Expected impact: Reveals how efficiently your book converts to cash. Stocking-program accounts compress the cycle (predictable reorder cadence = predictable cash flow = ability to negotiate 60-day payment terms with manufacturer). Spot-buy accounts expand the cycle (irregular POs = inventory sitting = longer DIO = worse terms).

├─ Step-by-step:

1

Pull year-end balance sheet and trailing-12-month income statement. Calculate: DIO = (Average Inventory ÷ COGS) × 365. DSO = (Average AR ÷ Revenue) × 365. DPO = (Average AP ÷ COGS) × 365. These three ratios are the inputs to the cash conversion cycle. The formulas are standard financial accounting; the data lives in your balance sheet and P&L.

2

Cash Conversion Cycle = DIO + DSO - DPO. Compare to the 62-day industry benchmark (from NAW's annual Distribution Industry Report and similar industry surveys). A CCC under 50 days indicates strong working capital management. A CCC over 70 days indicates inventory or collections problems.

3

If CCC is over 70 days, the spot-buy mix is the primary cause. Every 10 days of CCC reduction at $2M revenue = roughly $55K in freed working capital. The math: $2M revenue × 10 days ÷ 365 days = $54,800 in freed cash. That's cash that was tied up in slow-moving inventory or slow-paying customers; freeing it lets you invest in more acquisition, more stocking-program SKU depth, or more private-label development.

4

If CCC is under 55 days, the stocking-program mix is doing the work. Document the stocking-program contribution to CCC for the finance team's quarterly review. The CCC diagnostic becomes a leading indicator of book quality — if CCC starts creeping up, it's a signal that stocking-program concentration is declining.

5

Set a 90-day CCC target: cut 7-10 days by converting 5 spot-buy accounts to stocking programs (predictable reorders = predictable AR collection = lower DSO). The 5 stocking-program conversions compress DIO (inventory turns faster because it ships on a known cadence) and DSO (the contract terms Net 30 are honored because the relationship is committed). The combined effect: 5-10 days of CCC compression, $30-55K in freed working capital, and a stronger negotiating position with manufacturers (predictable turn = 60-day payment terms = margin expansion).

└─ Example: A pet products distributor with $1.8M revenue runs the calculation: DIO 78 days, DSO 41 days, DPO 53 days, CCC = 66 days. The 66 days is 4 days above the 62-day benchmark. Cutting 4 days = $19,700 freed working capital. Cutting 10 days = $49,300 freed. The lever: convert 4 spot-buy accounts to stocking programs (compress DIO by 8 days via predictable turn) and tighten payment terms on 6 spot-buy accounts (compress DSO by 3 days). Finance-team deliverable for Day 30. The same distributor uses the CCC diagnostic to negotiate better manufacturer terms: showing the manufacturer that 40% of the book is on stocking programs with predictable turn is a much stronger negotiation position than showing 8% stocking-program concentration with mostly unpredictable spot-buy orders.

Method 10: The Rep-Attribution Reorder Analysis (Team-Based, Sales Manager Required)

├─ What it is: A reorder rate calculation sliced by the sales rep (or rep-agency) who acquired each account. Reveals whether certain reps produce higher-reorder accounts (the ones pitching stocking programs) vs lower-reorder accounts (the ones closing spot-buys).

├─ Best for: Distributors with 3+ reps or rep agencies. The diagnostic is useless if you have one rep.

├─ Setup time: 2 hours.

├─ Cost: Free.

├─ Expected impact: Identifies which reps are running the stocking-program playbook vs the spot-buy playbook. Often reveals a 30-percentage-point reorder rate gap between top and bottom reps. The fix: replicate the top rep's pitch, retire the bottom rep's pitch, or replace the rep.

├─ Step-by-step:

1

In your customer list, add an "Acquired By" column. Tag each account with the rep name (or agency name) that sourced it. If your CRM doesn't have this data natively, you can reconstruct it from commission records (the rep who got the commission on the first PO is the rep who acquired the account).

2

Calculate 90-day reorder rate per rep (using Method 5's logic, grouped by rep). Calculate average first-PO value per rep. Calculate average annual revenue per rep (across their acquired accounts).

3

Rank reps by reorder rate × annual revenue per account. The top 2-3 reps are running the right playbook. The bottom 2-3 are running the wrong one. The gap between top and bottom is the diagnostic.

4

Schedule a 30-minute call with the top rep. Ask: "Walk me through your last stocking-program close." Document the script. Replicate it across the team. The top rep's script becomes the new sales playbook.

5

Schedule a separate call with the bottom rep. Ask: "Walk me through your last close." Document the script. Compare to the top rep's. The difference is the gap. The fix is rarely "fire the bottom rep" — it's usually "retrain the bottom rep on the top rep's playbook and re-measure in 60 days."

└─ Example: A hardware distributor with 5 reps finds: Rep A (tenure 8 years) — 67% reorder rate, $51K avg annual revenue per account. Rep B (tenure 2 years) — 19% reorder rate, $3,100 avg annual revenue. The 48-percentage-point gap is the diagnostic. Rep A is selling programs. Rep B is selling POs. Day 7 (M1) we rebuild the rep pitch around Rep A's playbook. The same distributor discovers that Rep A's accounts are 60% stocking-program-concentrated, while Rep B's are 4%. The structural difference is the offer, not the buyer. Rep B's accounts are buying from Rep B because Rep B is cheap, fast, and easy — and that is exactly the wrong buyer profile. Retraining Rep B to pitch stocking programs is the Day 7 work; measuring whether the retraining works is the Day 30 re-autopsy.

Method 11: The Trade-Show Cohort Reorder Diagnostic (Slow-Build, Strategic, 4 Hours)

├─ What it is: An analysis of reorder rate by acquisition source — trade show, cold call, referral, inbound, LinkedIn, etc. Reveals which channel produces the highest-LTV accounts, not just the most accounts.

├─ Best for: Distributors with multi-channel acquisition (most of you). The diagnostic requires source-tagging, which most CRMs support but few distributors actually use.

├─ Setup time: 4 hours (one-time CRM cleanup + analysis).

├─ Cost: Free if you have a CRM; $0-50/user/month if you need to add Pipedrive, HubSpot, or Zoho (free tiers work).

├─ Expected impact: Reveals which acquisition channel produces 55%+ reorder rate vs which produces 20%. The channel mix reallocation often produces 30-50% efficiency gain in acquisition spend. Top-quartile distributors concentrate 60%+ of acquisition effort in their top-2 channels.

├─ Step-by-step:

1

In your CRM (or in a new Google Sheet if you don't have one), tag every active account with the "Acquisition Source" (Trade Show, Cold Call, Referral, Inbound, LinkedIn, Manufacturer Rep, etc.). If you don't have this data, estimate based on your memory + the rep's recollection. The estimate is imperfect; the diagnostic is still better than no diagnostic.

2

Calculate 90-day reorder rate per source (using Method 5's logic, grouped by source). Calculate average first-PO value per source. Calculate average annual revenue per source.

3

The source with the highest reorder rate × annual revenue is your power channel. Allocate 60%+ of next quarter's acquisition effort to it. The source with the lowest reorder rate is your spend leak. Don't kill it (some sources produce breadth, not depth) but don't double down.

4

The trade-show-vs-cold-call comparison is the most common and most dramatic finding. Cold call typically produces 100+ new accounts per year at 18% reorder rate. Trade show typically produces 40-80 new accounts per year at 45-55% reorder rate. The 35-percentage-point reorder gap means the trade-show accounts are 3-5x more valuable on a per-account basis. Multiply that by the difference in volume and the trade-show channel often produces more annualized revenue despite producing fewer accounts. The implication: most distributors under-invest in trade shows relative to the channel's LTV.

5

The referral channel is the second-most-common finding. Referral-acquired accounts typically have 50-70% reorder rate — the highest of any channel. This is because the buyer comes in pre-sold (their peer buyer vouched for you), and the trust transfer reduces the friction that kills most first-time spot-buy relationships. The implication: a deliberate referral-ask program (Day 6's work) can become the highest-LTV channel in your book.

└─ Example: A garden/hardware distributor with 240 active accounts across 5 sources finds: Trade Show acquisitions (88 accounts) — 41% reorder rate, $52K avg annual. Cold Call acquisitions (94 accounts) — 18% reorder rate, $3,400 avg annual. Referral acquisitions (38 accounts) — 63% reorder rate, $71K avg annual. Inbound (12 accounts) — 22% reorder rate. Manufacturer Rep (8 accounts) — 78% reorder rate, $124K avg annual. The diagnostic screams: shift reps to trade-show booth staffing, manufacturer-rep relationship building, and referral-program design. Reduce cold-call budget by 30%. The same distributor calculates: trade show booth costs $18,000/year (per scaffold's pricePoints) and produces 8 new accounts per show at $52K average annual revenue = $416K in year-1 revenue plus the reorder annuity. Cold call costs $80,000/year in rep time and produces 94 new accounts at $3,400 average annual revenue = $320K in year-1 revenue with low reorder annuity. The trade-show channel produces 30% more year-1 revenue at 25% of the cost.

Method 12: The Lead-Gen Business vs Distribution Business Final Verdict (Solo, 30 Minutes, The Conclusion)

├─ What it is: The final synthesis step. Once you have Methods 1-11's outputs, you classify your business as one of three states: Lead-Gen (under 35% reorder), Transitional (35-50%), or Distribution (50%+). The classification determines which of the next 89 days' work is highest priority.

├─ Best for: Every distributor. This is the moment of truth.

├─ Setup time: 30 minutes.

├─ Cost: Free.

├─ Expected impact: The classification itself — and the explicit list of which Day 2-30 levers apply to your business — is the output. This is the diagnostic that tells the founder "we are running a lead-gen business and Day 2's stocking-program work is the unlock" vs "we are a distribution business with a retention problem and Day 7's rep-pitch work is the unlock."

├─ Step-by-step:

1

From Method 5, your 90-day reorder rate = X%.

2

From Method 6, your stocking-program revenue concentration = Y%.

3

From Method 8 (if applicable), your highest-reorder archetype's reorder rate = Z%.

4

Classify: X under 35% = Lead-Gen Business. Fix the offer (Days 2-4). X 35-50% = Transitional. Fix the conversion (Days 2 + 6-7). X 50%+ = Distribution Business. Fix the retention and expansion (Days 6-8).

5

Write the classification and the corresponding 30-day priority on the worksheet.

6

The diagnostic also tells you which 3 methods from Part 2 you should re-run monthly for the next 90 days (the standing reorder dashboard). Pick the methods that gave you the most actionable insight — typically Method 1 (spreadsheet) + Method 5 (90-day rate) + Method 6 (stocking concentration) for a small book, or Method 2 (ERP report) + Method 8 (archetype) + Method 11 (source) for a large book.

└─ Example: A specialty foods distributor finishes the autopsy: 90-day reorder rate 24%, stocking-program concentration 18% of revenue, highest-reorder archetype specialty boutique at 68%. Classification: Lead-Gen Business. Priority for Days 2-30: re-engineer the offer to default to stocking programs (Day 2), then re-architect the catalog to highlight stocking-program SKUs (Day 2 extension), then rebuild the rep pitch (Day 7). Monthly dashboard: Method 1 (spreadsheet) + Method 5 (90-day rate) + Method 6 (stocking concentration). The same distributor's 90-day target reorder rate: 38% (a 14-percentage-point lift, which is achievable in 90 days with the offer rebuild + rep retraining). The 90-day target stocking-program concentration: 32% of revenue (adding 5-7 stocking-program accounts at $48K average). The combined revenue impact: $280-380K annualized revenue, with $80-120K in freed working capital from CCC compression.

Method 13: The 12-Month Forecast Diagnostic (Solo, Strategic, 60 Minutes)

├─ What it is: A forward-looking forecast that uses your current reorder rate, your pipeline, and your assumed offer-rebuild impact to project your 12-month revenue. The forecast is the bridge between the autopsy and the next 89 days of work.

├─ Best for: Every distributor who has completed Methods 1-12 and wants to know what the 12-month outcome of the program looks like.

├─ Setup time: 60 minutes.

├─ Cost: Free.

├─ Expected impact: Produces a 12-month revenue forecast under three scenarios: (a) do nothing (status quo reorder rate, status quo acquisition), (b) execute the program (offer rebuild + rep retraining), (c) stretch scenario (full program + private-label introduction + territory expansion). The three-scenario comparison is the document that justifies the program to your leadership team, your banker, and your spouse.

├─ Step-by-step:

1

Establish the do-nothing baseline: current trailing-12-month revenue × 1.0 (no growth assumption) = Year-1 do-nothing revenue.

2

Establish the program-execution scenario: current revenue + (5 stocking-program conversions × $48K) + (lifter in existing-account reorder rate × current revenue × 0.20) + (modest 10% increase in new-account acquisition) = Year-1 program-execution revenue. The 20% lift on existing revenue comes from the reorder rate moving from 22% to 35-40%, which produces 13-18% blended revenue lift across the existing book.

3

Establish the stretch scenario: program-execution revenue + (private-label introduction to top 5 stocking accounts × $14K average additional annual revenue) + (territory expansion in 2 new geographies × $60K average year-1 revenue) = Year-1 stretch revenue. The stretch scenario assumes aggressive execution of Days 4, 8, and 11's work in addition to Days 2-3's offer rebuild.

4

Compare the three scenarios side by side. The gap between do-nothing and program-execution is the program's core ROI. The gap between program-execution and stretch is the upside of full execution.

5

Multiply the gap by 3 (3-year hold) to get the multi-year ROI. Multiply by the appropriate EBITDA multiple (6-8x for distribution businesses) to get the enterprise value impact.

└─ Example: A $1.8M-revenue specialty foods distributor with 22% reorder rate runs the 3-scenario forecast: Do-nothing = $1.8M (flat). Program-execution = $1.8M + $240K (5 conversions) + $396K (20% reorder lift) + $180K (10% acquisition lift) = $2.62M. Stretch = $2.62M + $70K (private label) + $120K (territory) = $2.81M. The 3-year enterprise value impact: $1.01M × 3 years × 0.30 EBITDA margin × 7x multiple = $6.36M in enterprise value swing. The 12-month program is justified by a single line item: the enterprise value impact is 3.5x the founder's annual take-home.

Decision Matrix:

`

IF YOU ARE: Solo founder, <200 accounts, no CRM → CHOOSE: Method 1 (spreadsheet) + Method 5 (90-day calc) + Method 12 (verdict). Total time: 3 hours.

IF YOU ARE: Solo founder, <200 accounts, on QuickBooks → CHOOSE: Method 3 (QB pivot) + Method 5 + Method 12. Total time: 2 hours.

IF YOU ARE: 3-10 person team, 200-500 accounts, on Fishbowl/Unleashed/SAP → CHOOSE: Method 2 (Fishbowl report) + Method 6 (concentration) + Method 8 (archetype split) + Method 12. Total time: 4 hours.

IF YOU ARE: 10+ person team, 500+ accounts, modern OMS (Cin7/Orderhive/Shopify B2B) → CHOOSE: Method 4 (OMS report) + Method 7 (cohort) + Method 8 (archetype) + Method 11 (source attribution) + Method 12. Total time: 8 hours.

IF YOU HAVE: A sales manager and 3+ reps → ADD: Method 10 (rep attribution). 2 additional hours.

IF YOU HAVE: A CFO/controller and $2M+ revenue → ADD: Method 9 (CCC diagnostic). 1.5 additional hours.

IF YOU WANT: The fastest path to the 6 worksheet numbers → CHOOSE: Method 5 alone. 45 minutes. Then run Method 12 (verdict) for the classification. 30 minutes. Total: 75 minutes for tonight's win condition.

IF YOU WANT: The deepest 90-day reorder diagnostic for a 500+ account book → CHOOSE: Method 2 (ERP) + Method 7 (cohort) + Method 8 (archetype) + Method 10 (rep) + Method 11 (source) + Method 12. Total: 12-15 hours spread over a week. Best when the leadership team is making a strategic decision (raise capital, acquire a competitor, hire a sales manager).

`

How to Use the Methods in Combination (The Layered Autopsy):

The methods are designed to layer on top of each other. A founder who runs Method 1 + Method 5 + Method 12 in 75 minutes has a complete Day 1 win condition. A founder who runs all 12 methods over the course of a week has a strategic operating dashboard that will inform the next 3 years of decisions. Here is the recommended sequence for a comprehensive autopsy:

Week 1, Day 1 (Today): Method 1 (spreadsheet) + Method 5 (90-day rate) + Method 12 (verdict). Time: 3 hours. Output: the 6 headline numbers + classification + 30-day priority.

Week 1, Day 2-3: Method 2 or Method 4 (ERP or OMS report). Time: 1.5 hours. Output: customer-level data that supports Method 6, 7, 8, 10, 11.

Week 1, Day 4: Method 6 (stocking-program concentration) + Method 8 (archetype split). Time: 3 hours. Output: protected-revenue analysis + buyer-archetype segmentation.

Week 1, Day 5: Method 7 (cohort analysis) + Method 11 (source attribution). Time: 7 hours. Output: seasonal pattern + channel mix analysis.

Week 2, Day 1-2: Method 9 (CCC diagnostic) + Method 10 (rep attribution). Time: 3.5 hours. Output: working capital analysis + rep performance comparison.

Week 2, Day 3: Synthesize all 12 outputs into a single 5-page "Account Mix Autopsy" report. Time: 4 hours. Output: the strategic document that goes to the leadership team, the banker, and the sales manager.

The full autopsy takes 20-25 hours of work over 2 weeks. That investment produces the strategic clarity that most distributors pay $50,000+ to a consultant to deliver. The difference is that you own the data, the analysis, and the conclusions — and the next monthly re-run takes 4 hours, not 20.

Why the Layered Approach Beats the Single-Method Approach:

A founder who runs only Method 1 knows their reorder rate. That's a useful number. A founder who runs all 12 methods knows their reorder rate, their cohort pattern, their buyer-archetype mix, their stocking-program concentration, their cash conversion cycle, their rep-level performance, and their channel-level performance. That is a complete operating picture. The full picture is what allows the next 89 days of work to be targeted, prioritized, and sequenced correctly. A founder who knows only their reorder rate will guess at the 30-day priority. A founder who knows the full picture will know exactly which 5 accounts to convert, which 3 reps to retrain, which 2 channels to double down on, and which 1 archetype to grow. The difference is the difference between a course and a transformation.

A Note for Distributors Who Already Run on a Modern Stack:

If you are already on Shopify B2B, Cin7, Orderhive, or a similar modern OMS with built-in reorder dashboards, you may be tempted to skip the manual methods and rely on the dashboard. The dashboard is a great starting point, but it is not a substitute for the autopsy. The autopsy forces you to confront the data, to manually mark Y/N for each account, to feel the weight of the 22% number. The dashboard presents the number as a chart; the autopsy presents it as a list of names. The list of names is what makes the work real. The names are the buyers. The buyers are the relationships. The relationships are the business. The dashboard is a tool; the autopsy is a discipline. Do both.

A Note for Solo Distributors Without a Team:

If you are a one-person operation, you don't have a sales manager to share the worksheet with. You don't have a controller to run the CCC diagnostic with. You don't have a team to assign monthly re-runs to. That is OK. The worksheet goes to your spouse, your accountant, your mentor, or your peer group of other distributors. The 3 conversations on Day 2-3 become conversations with yourself, recorded in a notebook. The monthly re-run becomes a 75-minute block on the first Monday of each month, recurring on your personal calendar. The work scales down. The work does not disappear. The solo distributor who runs the autopsy and executes the next 89 days alone is no less transformed than the 10-person team. The transformation is in the discipline, not the team size.

The 3 Methods Most Distributors Skip (and Why They Shouldn't):

Method 9 (CCC diagnostic) — Most distributors skip this because it requires finance collaboration. The 1.5 hours of controller time is the cheapest consulting engagement you will ever pay for. The CCC diagnostic is the financial proof of the gap. It translates the operational metric (reorder rate) into the financial metric (working capital freed) that your banker and your CFO speak. The CCC analysis also surfaces the inventory-management problems that reorder mechanics alone can't fix.

Method 10 (rep attribution) — Most distributors skip this because it requires the willingness to confront rep-level performance. The 2 hours of analysis is uncomfortable if you have a long-tenured rep who is producing 19% reorder rate. The discomfort is the point. The rep attribution is the diagnostic that tells you which reps to retrain, which to keep, and which to let go. The cost of not running it is measured in the 30-50 percentage points of reorder rate you leave on the table because of rep-level offer design.

Method 11 (source attribution) — Most distributors skip this because it requires CRM cleanup that nobody wants to do. The 4 hours of source-tagging is the work that produces the channel-mix reallocation that can double your acquisition efficiency. The source attribution is the diagnostic that tells you which trade shows to attend, which cold-call scripts to retire, and which referral-ask sequences to scale. The cost of not running it is measured in the 30-50% of acquisition budget you spend on channels that produce 18% reorder rate instead of the channels that produce 55%.

PART 3: THE DAILY WORK (1,800 words)

Today's Mission: Build Your Account Mix Autopsy Document in 75 Minutes

You have read the concept. You have reviewed the 12 methods. Now you build. The deliverable tonight is a single document — physical or digital — with six numbers. Those six numbers are the foundation of the next 89 days. Without them, you are guessing. With them, you are engineering.

The reason this is the mission and not "understand the concept" or "review the methods" is that understanding without action is worthless in this program. You have paid for a 90-day execution curriculum. The execution starts tonight. The 75 minutes you spend building the autopsy document is the highest-ROI 75 minutes of the entire 90-day program, because every subsequent day's work — Day 2's stocking-program pitch, Day 3's exclusive-territory map, Day 4's private-label engine, Day 5's trade-show rebuild — all reference back to the numbers you produce tonight. If you skip the autopsy, you spend the next 89 days operating on assumptions, and assumptions are how distributors stay stuck at $1.8M revenue forever.

Before You Begin: Your Starting Point

Fill in these eight items before you touch your data. They establish where you are right now, before the autopsy changes your view:

1

My best guess at my current 90-day reorder rate: ____%

2

My best guess at the number of active accounts in the trailing 12 months: ____

3

My best guess at the percentage of accounts that placed only one PO: ____%

4

My best guess at the number of stocking-program accounts I have: ____

5

My best guess at average annual revenue per stocking-program account: $____

6

My best guess at average first-PO value across all new accounts: $____

7

My best guess at total trailing-12-month revenue: $____

8

My current cash conversion cycle (days): ____

You will not know how wrong these guesses are until you run the autopsy. That gap — between your guess and your actual number — is the diagnostic that will keep you up tonight (in a good way). Most distributors guess their reorder rate 8-12 percentage points higher than it actually is. The reason is selection bias: you remember the accounts that reordered. You don't remember the 78% that ghosted. The autopsy corrects the bias by aggregating the data, not relying on memory.

Step-by-Step Execution: The 75-Minute Build

Minutes 0-15: Export the data. Open your accounting system, ERP, or order-management tool. Export the customer list with the six columns you need: customer name, account ID, first PO date, last PO date, total POs trailing 12 months, total revenue trailing 12 months. Save the file as "Day1-RawExport-[date].csv" in a new folder titled "90-Day Wholesale Overhaul." If your system won't export all six columns in one shot, run two exports and VLOOKUP them together. The 15 minutes is generous — most modern systems will do this in 5 minutes. The buffer is for the inevitable "I clicked the wrong export" recovery.

Minutes 15-35: Build the spreadsheet (Method 1). Open Google Sheets or Excel. Title the file "Day 1 Account Mix Autopsy." Paste the export. Add the seventh column: "Reordered within 90 days? (Y/N)." For each account, look at the first PO date, add 90 days, and check whether the next PO date falls inside that window. Mark Y or N. This is the most important 20 minutes of the entire 90-day program. The act of manually marking Y or N forces you to confront the data. You will see accounts you thought were reorderers that aren't. You will see accounts you forgot existed. You will see the book for what it actually is, not what you hoped it was.

Minutes 35-50: Calculate the six headline numbers. Build the summary block at the top of the sheet:

  • Total active accounts (=COUNTA on account ID column)

  • Single-PO accounts (=COUNTIF on PO count = 1)

  • Multi-PO accounts (=COUNTIF on PO count > 1)

  • 90-day reorder rate (=COUNTIF on the Y/N column for Y / total)

  • Average first-PO value (=AVERAGEIFS on revenue for accounts with PO count = 1)

  • Stocking-program annual value (=AVERAGEIFS on revenue for accounts tagged as stocking; if no tag, identify by name and average manually)

  • Dollar gap = (Total accounts × 0.55 × Average first-PO value × 1.5) - Total trailing-12-month revenue

Minutes 50-65: Run Method 12 (verdict classification). Based on the 90-day reorder rate, classify: under 35% = Lead-Gen Business. 35-50% = Transitional. 50%+ = Distribution. Write the classification and the corresponding 30-day priority on the worksheet (Part 4 below). The classification is the single most important strategic decision you make in the entire 90-day program. It tells you where to focus. It tells you which of the next 89 days are highest priority for your specific book. It tells you whether to hire, who to hire, and what to measure.

Minutes 65-75: Commit to a re-run cadence. Decide which day each month you will re-run the autopsy (recommend: the first Monday). Add the re-run to your calendar for the next 3 months. The number that doesn't get measured doesn't get fixed. You have just installed the dashboard. The dashboard is the difference between a distributor who improves and a distributor who takes a course and forgets. The first Monday of next month, you re-run the same 6 numbers. The trend line is the proof.

Decision Points:

  • If your 90-day reorder rate is under 20%: Stop reading after Day 8 and execute the stocking-program rebuild before anything else. Your business is in survival mode. The next 60 days are about converting 5-10 spot-buy accounts to stocking programs before the cash conversion cycle forces a working-capital crisis. Cash is oxygen. Don't waste it on anything except the highest-leverage work. The most common trap at this stage is "I'll do the offer rebuild next quarter." There is no next quarter. The next 30 days are the quarter.

  • If your 90-day reorder rate is 20-35%: Day 2's stocking-program pitch is the highest-ROI work. Execute it within 7 days. The 5-account conversion plan you build tonight becomes the 30-day priority. Hire a customer-success rep (if you can afford the $65K fully-loaded cost) to own the conversion process. Or assign the conversion to your top-performing outside rep as a 50% time allocation. The transitional state is the most common, and it is also the most fixable — the offer and the rep pitch are the two levers, and both can be re-engineered in 30-60 days.

  • If your 90-day reorder rate is 35-50%: You are in transition. Days 2-7 (offer + rep pitch) are the highest priority. After that, the retention work in M8 (Days 57-64) is your second priority. The transitional state is the most common for distributors in your range, and it is also the most fixable — the offer and the rep pitch are the two levers, and both can be re-engineered in 30-60 days.

  • If your 90-day reorder rate is 50%+: Congratulations — you are running a real distribution business. Skip to M8 (retention) and M12 (exit velocity). Your constraint is growth, not reorder mechanics. Focus on the next 89 days on expanding territory, adding product categories, and building the team that can run the business without you. The exit-velocity work in M12 (Days 85-90) becomes your highest-ROI late-program work.

  • If you have fewer than 30 active accounts: The autopsy is statistically thin. Run Method 1 anyway, but treat the numbers as directional, not precise. Then focus on Day 2's stocking-program work to add depth to the existing book. With fewer than 30 accounts, the gap-sizing math is unreliable, but the qualitative insight (which accounts are reorderers, which aren't, which buyer archetype dominates) is still actionable. The next 90 days should also include aggressive new-account acquisition to grow the book to 60-80 accounts, at which point the autopsy becomes statistically reliable.

Deliverable: A One-Page Account Mix Autopsy Document

By end of day, you must have a single page (printed or screen-shared) with:

  • The 6 headline numbers filled in from your own books

  • The Method 12 classification (Lead-Gen / Transitional / Distribution)

  • The 30-day priority (which Day 2-30 work applies to your business)

  • A re-run date on the calendar (first Monday of next month)

  • The dollar gap sized to the next 90 days

That one page is the deliverable. It is the document you will reference every morning. It is the document you will show your sales manager, your controller, your spouse, your banker. It is the foundation. Without it, you are guessing. With it, you are engineering.

The Common Mistakes at the Build Stage (and How to Avoid Them):

Mistake 1: Estimating instead of exporting. You will be tempted to "just write down what I think the number is" rather than pulling the actual data. The estimate will be wrong by 8-15 percentage points. The autopsy is not a thought experiment. It is a data exercise. The 15 minutes you spend on the export is the difference between a real number and a guess. If you find yourself writing "approximately 200 accounts" instead of "=COUNTA(C2:C241) = 240 accounts," you are doing it wrong.

Mistake 2: Including "inactive" or "dormant" accounts in the count. A buyer who placed one PO 14 months ago and hasn't ordered since is not an active account. They are a churned account. The active denominator is accounts with at least one PO in the trailing 12 months. Anything else inflates the denominator and depresses the reorder rate artificially.

Mistake 3: Conflating "stocking program" with "frequent buyer." A buyer who places 4 POs a year on ad-hoc terms is a frequent spot-buy buyer, not a stocking-program buyer. The stocking program is defined by the contract: a 12-month agreement with a defined reorder cadence and a case-pack minimum. A frequent buyer without a contract is still a spot-buy buyer. The classification is structural, not behavioral.

Mistake 4: Skipping the worksheet and going straight to action. You will be tempted to skip the 20-question worksheet and go straight to Day 2's stocking-program pitch. The worksheet is the document that anchors the next 89 days. If you skip it, you will lose the thread by Day 14. The 30 minutes you spend on the worksheet is the cheapest insurance you will buy in the entire program.

Mistake 5: Not scheduling the re-run. The autopsy without a re-run is a one-time data exercise. The autopsy with a monthly re-run is a dashboard. The dashboard is the thing that creates accountability. The re-run is on your calendar before you close the laptop tonight.

The 3 Things You Should NOT Do Tonight:

1

Do not start calling buyers. The 22-minute stocking-program call is Day 2's work. Tonight is data, not outreach. Calling a buyer without having done the autopsy is closing your eyes and swinging. Day 2 gives you the aim.

2

Do not redesign your catalog. Catalog re-architecture is Day 2's extension. Tonight is account segmentation, not product segmentation.

3

Do not hire anyone. The customer-success-rep hire decision depends on the autopsy's classification and gap sizing. If your gap is $200K, the hire is justified. If your gap is $40K, it's not. The autopsy gives you the data to make the hire decision. Tonight is data; the hire decision is Day 8.

The 3 Things You MUST Do Tonight:

1

Build the spreadsheet. Method 1 takes 90 minutes. The 6 headline numbers are the output. Without them, the program is theoretical.

2

Fill in the worksheet. The 20 questions in Part 4 take 30 minutes. They force you to think about the gap, the classification, the 5 conversion targets, and the re-run cadence. Without them, the data has no narrative.

3

Schedule the re-run. Put the first Monday of next month on your calendar. Recur it for 3 months. The dashboard is the difference between a course you took and a transformation you led.

PART 4: THE WORKSHEET (1,800 words)

B2B Wholesale Account Mix Autopsy Worksheet — Day 1

This is the document you build tonight. Fill in every blank with a real number from your own books. If you don't have the data, write "TBD" and put it on tomorrow's list. The point of the worksheet is not to be pretty — it is to be true. The worksheet is a living document. You will refer to it every morning for the next 90 days. You will re-run it on Day 8, Day 30, Day 60, and Day 90. The numbers will change. The structure will not.

Section A: The Six Headline Numbers

1

MY TOTAL ACTIVE ACCOUNTS (trailing 12 months): ____________

Source: customer list export. Include every account with at least one PO in the trailing 12 months, regardless of size. Don't filter for "minimum order value" or "active status" — count every account that placed at least one PO.

2

MY 90-DAY REORDER RATE: ____________%

Calculation: (Number of accounts that placed a 2nd PO within 90 days of first PO) ÷ (Total active accounts) × 100. Round to one decimal.

Benchmark: 55% (top quartile). Under 35% = Lead-Gen. 35-50% = Transitional. 50%+ = Distribution.

3

MY PERCENTAGE OF SINGLE-PO ACCOUNTS: ____________%

Calculation: (Number of accounts with exactly 1 PO in trailing 12 months) ÷ (Total active accounts) × 100.

Benchmark: under 30% for a healthy distribution book. Over 60% = your business is a transactional lead-gen funnel dressed up as wholesale.

4

MY AVERAGE FIRST-PO VALUE: $____________

Calculation: Average of "total revenue trailing 12 months" for accounts with exactly 1 PO. This is the dollar value of a typical one-time buyer.

Benchmark: $2,500-$4,000 for most categories. Specialty boutique and foodservice categories often run $5,000-$8,000. Industrial MRO and regional chain categories can run $8,000-$15,000.

5

MY NUMBER OF STOCKING-PROGRAM ACCOUNTS: ____________

Manual identification. An account counts as a stocking program if it has a signed 12-month agreement with a defined reorder cadence and a case-pack minimum. If you don't tag these in your CRM, identify them by name. Don't count "verbal agreements" or "implied arrangements" — those are spot-buy with a friendly relationship, and they will ghost the moment a competitor undercuts you by 5%.

6

MY AVERAGE ANNUAL REVENUE PER STOCKING-PROGRAM ACCOUNT: $____________

Calculation: Sum of trailing-12-month revenue from stocking-program accounts ÷ Number of stocking-program accounts.

Benchmark: $48,000/year for typical category. $124,000/year for regional chain. $850,000/year for exclusive territory. If your number is well below the benchmark, your "stocking programs" are de facto spot-buys with annual renewal conversations — the contract is the artifact, not the behavior.

7

MY TOTAL TRAILING-12-MONTH REVENUE: $____________

Direct from your accounting system. Don't estimate. The difference between "I think it's about $1.8M" and the actual number from QuickBooks is typically 5-15% — and that error compounds through every subsequent calculation.

8

MY DOLLAR GAP (reorder rate uplift opportunity): $____________

Calculation: (Total active accounts × (0.55 - current reorder rate as decimal) × Average first-PO value × 1.5 reorder cycles in year 1). This is the annualized revenue you would add if you lifted your 90-day reorder rate to the 55% benchmark.

Example: 200 accounts × 0.30 (gap) × $3,200 × 1.5 = $288,000 annualized gap.

Section B: The Classification

9

MY METHOD 12 VERDICT: ____________

Choose one: LEAD-GEN BUSINESS / TRANSITIONAL BUSINESS / DISTRIBUTION BUSINESS

Based on: 90-day reorder rate from #2 above. Be honest. The classification is for your benefit, not for show.

10

MY 30-DAY PRIORITY: ____________

If LEAD-GEN: "Re-engineer the offer to default to stocking programs (Day 2)."

If TRANSITIONAL: "Add the stocking-program pitch to the rep script (Day 2) and re-architect the catalog (Day 2 extension)."

If DISTRIBUTION: "Audit retention mechanics and category expansion (Day 7-8)."

Section C: The Action Plan

11

THE 5 ACCOUNTS I WILL CONVERT TO STOCKING PROGRAMS IN THE NEXT 30 DAYS:

Account 1: _________________ (current revenue: $____, target: $____)

Account 2: _________________ (current revenue: $____, target: $____)

Account 3: _________________ (current revenue: $____, target: $____)

Account 4: _________________ (current revenue: $____, target: $____)

Account 5: _________________ (current revenue: $____, target: $____)

12

THE 3 LARGEST SOURCES OF SPOT-BUY REVENUE I WILL CONVERT FIRST:

Source 1: _________________ (annual spot-buy revenue: $____, projected stocking-program revenue: $____)

Source 2: _________________ (annual spot-buy revenue: $____, projected stocking-program revenue: $____)

Source 3: _________________ (annual spot-buy revenue: $____, projected stocking-program revenue: $____)

13

THE FIRST ACTION I WILL TAKE TOMORROW MORNING (specific, 60 minutes):

_____________________________________________________________________________

_____________________________________________________________________________

14

THE RE-RUN DATE FOR THIS AUTOPSY (on calendar): ____________

Recommendation: First Monday of next month, recurring for 3 months.

Section D: The Cost of Doing Nothing

15

MY ANNUAL REVENUE LEAK (cost of staying in current state): $____________

Calculation: Dollar gap from #8 above. This is the money you are leaving on the table every year you don't fix the offer. The leak compounds — at a 25% annual revenue growth target, the leak grows by 25% per year too.

16

MY 3-YEAR REVENUE LEAK (cumulative, assuming flat growth): $____________

Calculation: Annual revenue leak × 3. If your annual leak is $200K, the 3-year cumulative is $600K. That is the size of a small distribution business you are "buying" by not acting.

17

MY 3-YEAR ENTERPRISE VALUE IMPACT: $____________

Calculation: 3-year revenue leak × 0.30 (assumed 30% EBITDA margin) × 6 (typical distribution-business multiple) = Lost equity value from staying in current state. This is the number that goes on the conversation with your banker, your spouse, or your successor. A distributor with $600K in 3-year revenue leak has $1.08M in lost equity value. That is the price of the next 89 days of work.

Section E: The Re-Run Dashboard

18

THE 3 METHODS I WILL RE-RUN MONTHLY (from Part 2):

Method #____: ____________ (reason: ____________)

Method #____: ____________ (reason: ____________)

Method #____: ____________ (reason: ____________)

19

THE TRIGGER FOR ADDING A 4TH RE-RUN METHOD: ____________

Example: "If reorder rate drops below 35% at any monthly re-run, add Method 8 (archetype split) and Method 11 (source attribution) to the dashboard."

20

THE PERSON ON MY TEAM WHO OWNS THIS DASHBOARD: ____________

Name: ____________ Title: ____________ Review cadence: ____________

Section F: The 90-Day Trajectory (filled in on Day 90 from the monthly re-runs)

21

DAY 8 REORDER RATE: __________% (target: +2-3 percentage points from Day 1)

22

DAY 30 REORDER RATE: __________% (target: +6-10 percentage points from Day 1)

23

DAY 60 REORDER RATE: __________% (target: +12-16 percentage points from Day 1)

24

DAY 90 REORDER RATE: __________% (target: +14-20 percentage points from Day 1; absolute target: 38-45%)

25

DAY 90 STOCKING-PROGRAM CONCENTRATION (revenue): __________% (target: +10-15 percentage points from Day 1)

26

DAY 90 TOTAL ACTIVE ACCOUNTS: __________ (target: +15-25% from Day 1 if book is under 200; +5-10% if over 200)

27

DAY 90 TOTAL TRAILING-12-MONTH REVENUE: $__________ (target: +25-40% from Day 1)

28

DAY 90 CASH CONVERSION CYCLE: __________ days (target: -5 to -10 days from Day 1)

29

DAY 90 AVERAGE ANNUAL REVENUE PER STOCKING ACCOUNT: $__________ (target: +8-15% from Day 1 via private-label introduction)

30

THE ONE THING I LEARNED IN 90 DAYS THAT I DIDN'T KNOW ON DAY 1:

_____________________________________________________________________________

_____________________________________________________________________________

Section G: The Day-1 Gut Check (Answer Honestly)

31

On a scale of 1-10, how clearly do I now understand my account mix? (1 = total fog, 10 = could teach it to my sales manager tomorrow) __________

32

On a scale of 1-10, how motivated am I to do the next 89 days of work? (1 = going through the motions, 10 = willing to fire a rep or hire one based on the data) __________

33

The single biggest fear I have about implementing this program: _____________________________________________________________________________

34

The single biggest opportunity I see in the next 90 days: _____________________________________________________________________________

35

The one person I need to share this worksheet with within 48 hours: _____________________________________________________________________________

Section H: The Founder's Letter to Self (Read on Day 90)

36

Dear Future Me,

On Day 1, my 90-day reorder rate was __________%. The benchmark was 55%. The gap was __________ percentage points. The annualized revenue gap was $__________.

I committed to: _____________________________________________________________________________

I was most afraid of: _____________________________________________________________________________

I was most excited about: _____________________________________________________________________________

On Day 90, my reorder rate is __________%. The gap I closed: __________ percentage points. The annualized revenue I recovered: $__________.

The single biggest lesson: _____________________________________________________________________________

Signed, ____________________ Date: __________

PART 5: PROGRESS TRACKER (1,400 words)

✅ Day 1 Completion Checklist:

  • [ ] I read Part 1 and can explain in my own words why 90-day reorder rate is the single most important number in my business

  • [ ] I reviewed at least 3 of the 12 implementation methods in Part 2 and selected the 1-3 that match my book size, tech stack, and time

  • [ ] I exported the data from my accounting system / ERP / OMS and built the spreadsheet

  • [ ] I filled in all 6 of the headline numbers from my own books (not estimates)

  • [ ] I classified my business as Lead-Gen, Transitional, or Distribution using Method 12

  • [ ] I identified the 5 accounts I will convert to stocking programs in the next 30 days

  • [ ] I wrote down the 30-day priority that corresponds to my classification

  • [ ] I added a recurring monthly re-run of the autopsy to my calendar

  • [ ] I identified the 3 implementation methods I will re-run monthly

  • [ ] I can explain to my sales manager, controller, or spouse what the gap is and what the next 30 days' work is

📈 My Business Scorecard (Update Daily):

MetricDay 1 BaselineTodayChange
Monthly Revenue$__________$__________+$__________
90-Day Reorder Rate__________%__________%+__________%
Active Accounts (trailing 12 mo)____________________+__________
Stocking-Program Accounts____________________+__________
Single-PO Accounts (% of book)__________%__________%-__________%
Avg Annual Revenue per Stocking Account$__________$__________+$__________
Cash Conversion Cycle (days)____________________-__________
Pipeline Value (next-90-day forecast)$__________$__________+$__________

🧠 Today's Key Insight: (write 1 sentence — the single most important thing you learned)

_____________________________________________________________________________

💰 Revenue Impact Estimate: $___________ per month from the actions you take in the next 30 days based on the 5 stocking-program conversions you identified tonight.

🧾 Worksheet Status:

  • [ ] I completed the full 36-question worksheet in Part 4

  • [ ] I printed or screenshared the summary block (the 6 headline numbers)

  • [ ] I emailed the worksheet to my sales manager / controller / accountability partner

  • [ ] I scheduled a 15-minute review with myself on Day 8 (next Monday) to assess progress against the worksheet

🎯 The Single Most Important Number Going Into Day 2:

My 90-day reorder rate is __________%. The benchmark is 55%. My gap is __________ percentage points. The annualized revenue recovery from closing 50% of that gap is $__________.

That number is the foundation of every decision in the next 89 days. Tape it to the wall. Look at it every morning. Make every rep meeting reference it. Make every buyer conversation ask: "How do we get this account to reorder in 90 days?" That question, asked 50 times a quarter, is what flips a lead-gen business into a distribution business.

📚 The 5 Numbers to Memorize:

1

My 90-day reorder rate: __________% (target 55%)

2

My average first-PO value: $__________ (target $3,200+)

3

My average annual revenue per stocking account: $__________ (target $48,000+)

4

My number of stocking-program accounts: __________ (target 25% of book)

5

My annual revenue leak: $__________ (target reduce by 50% in 90 days)

If you can quote all 5 numbers from memory at any moment, you own the dashboard. If you have to look them up, you don't. The goal of the next 30 days is to make these 5 numbers as familiar as your own phone number.

📊 The 3 Numbers to Benchmark Against the Industry:

1

My 90-day reorder rate vs the 55% top-quartile benchmark: __________ percentage points below/above

2

My stocking-program concentration vs the 40% top-quartile benchmark: __________ percentage points below/above

3

My cash conversion cycle vs the 62-day industry benchmark: __________ days below/above

These three benchmarks are how you know whether your business is above-average, average, or below-average for your category. Most distributors discover on Day 1 that they are 15-25 percentage points below benchmark on reorder rate. That gap is the work of the next 89 days.

🔍 The 3 Diagnostic Patterns to Look For:

1

The "spot-buy cluster" pattern: You will see a cluster of accounts that all placed one PO in the same month, all at the same price point, all from the same acquisition source. This is a single trade show, a single cold-call campaign, or a single referral chain. The cluster is the diagnostic that tells you a specific acquisition motion is producing transactional buyers. Day 5's trade-show ROI rebuild and Day 6's referral-ask program address this pattern.

2

The "ghost account" pattern: You will see accounts that placed a first PO, then nothing for 6+ months. These are the highest-leverage conversion targets — they have proven they will buy, they just haven't been asked to reorder in a way that worked. Day 2's stocking-program pitch addresses this pattern.

3

The "stocking-program anchor" pattern: You will see 3-5 accounts that reorder every quarter like clockwork, at consistent case-pack quantities, on Net 30 terms. These are your power accounts. Document everything about them — what category, what buyer, what acquisition source, what first-PO product mix. Day 7's rep-pitch rebuild and Day 2's stocking-program expansion both target this pattern.

💼 The 3 Conversations to Have This Week:

1

Conversation with your top-performing sales rep (or with yourself, if you are the only rep): "Walk me through your last stocking-program close. What did you say? What did the buyer say? What was the objection? How did you close it?" Document the script. This becomes the playbook for rep retraining (Day 7).

2

Conversation with your top-performing stocking-program account (the buyer, not your rep): "What made you decide to sign a stocking agreement with us instead of spot-buying from another distributor?" Document the answer. This becomes the buyer-language you use in the stocking-program pitch (Day 2).

3

Conversation with your controller or bookkeeper: "What is our cash conversion cycle right now? What is the DIO, DSO, DPO breakdown?" Document the answer. This becomes the financial case for the offer rebuild (Day 2's pitch to leadership) and the CCC compression target for the next 90 days.

These three conversations are worth 10x the time you invest. They are the source material for the next 14 days of work. Skipping them is the most common reason distributors stall out after Day 1.

🗓️ The Day 1-2-3 Cadence:

  • Tonight (Day 1): Build the spreadsheet. Fill in the worksheet. Schedule the re-run. Memorize the 5 numbers.

  • Tomorrow morning (Day 2): Have the 3 conversations listed above. Document the answers. Pick Account #1 from the worksheet and pull their purchase history.

  • Day 2 evening: Read Day 2 in full. Build the 22-minute call structure. Schedule the call to Account #1 for Day 5-7.

  • Day 3-4: Build the rep pitch around the top-rep's stocking-program close. Build the buyer-language around the top-account's reason for signing.

  • Day 5-7: Deliver the call. Document the outcome. Re-run the 5 numbers in your head to check whether the offer is working.

The cadence is: data tonight, conversations tomorrow, pitch Day 2, call Day 5-7, results Day 8. By Day 8, you have your first stocking-program conversion in motion. By Day 30, you have 3-5 conversions in motion. By Day 60, your reorder rate has moved 6-10 percentage points. By Day 90, you have a different business.

🚨 The 3 Things That Will Try to Stop You:

1

The voice in your head that says "my reorder rate is probably fine, I don't need to measure it." That voice is wrong. The autopsy takes 75 minutes. The 75 minutes is the cheapest consulting engagement you will ever pay for. Run the autopsy.

2

The voice in your head that says "I'll get to the worksheet tomorrow." Tomorrow never comes. The worksheet is the deliverable. The deliverable is what makes the program a transformation instead of a course. Tonight is the night.

3

The voice in your head that says "I have a unique situation, the standard methods won't work for me." The methods work for every distributor in every category. Your numbers will be different. Your classification will be different. Your 5 conversion targets will be different. But the structure of the diagnostic and the structure of the rebuild are universal. Run the methods, then customize the conclusions.

The Final Word on Day 1:

The autopsy is the most important 75 minutes of the program. It produces the data that anchors the next 89 days of work. Without it, the program is theoretical. With it, the program is targeted. The 5 numbers you memorize tonight are the numbers you will repeat in every leadership meeting, every rep one-on-one, every buyer conversation, and every quarterly review for the next 3 years. They are the foundation. They are the work. They are yours.

Go build the spreadsheet. Fill in the worksheet. Tape the summary page to the wall. Tomorrow, you build the offer.

PART 6: TOMORROW'S PREVIEW (1,000 words)

Tomorrow (Day 2): The Stocking-Program Pitch — The 22-Minute Category Manager Call That Moves a $2,400 One-Time PO Into a $48,000 Annual Account

Why it matters: Yesterday you ran the autopsy. You saw the gap. You identified the 5 accounts you will convert in the next 30 days. Tomorrow you build the actual call — the 22-minute conversation with the retail buyer that turns a one-time spot-buy PO into a signed 12-month stocking agreement with quarterly reorders, case-pack minimums, and category exclusivity. The stocking-program pitch is not a "discount for volume" conversation. It is a category-ownership conversation. You are offering the buyer the ability to own a category in their store that their competitor doesn't carry. The pitch is a 4-part structure: (1) anchor on the buyer's category gap, (2) present the 12-month reorder cadence, (3) walk through the case-pack economics (showing the buyer's gross margin at keystone markup), (4) close on the first reorder date locked to the calendar. The same call structure works for independent retailers ($48K/year), regional chain category managers ($180K/year), and specialty boutique buyers ($52,000/year). The structure scales; the price points differ. Tomorrow's deliverable is a practiced pitch and a calendar invite to deliver it.

The stocking-program pitch is the atomic unit of distribution business growth. It is the conversation that converts a lead-gen business into a distribution business. It is the conversation that flips a 2-PO account into a 48,PO account. It is the conversation that allows you to plan capacity, hire reps, buy inventory, and negotiate manufacturer terms with confidence. It is not "sales training" or "customer service." It is business design. The design of the offer determines the behavior of the buyer. The design is in your control. The 22-minute conversation is the lever.

The pitch works because it aligns the buyer's incentives with your incentives. A spot-buy buyer has incentive to shop price, negotiate case-pack, delay payment, and reorder infrequently. A stocking-program buyer has incentive to commit to a category, honor a case-pack cadence, pay Net 30, and reorder on a schedule. The pitch aligns those incentives by giving the buyer something they can't get from spot-buy: category ownership, margin predictability, and supply certainty. The reason most buyers agree to stocking programs is not the price (it's often slightly higher than spot-buy rates) — it's the business stability the stocking program provides. The pitch doesn't sell SKUs. It sells predictability.

The 3 Phases of the Stocking-Program Pitch:

Phase 1: Diagnosis (1-2 minutes). Open by asking "What's the biggest inventory or stocking headache you're having with [their category]?" The answer will be the anchor for the rest of the call. A specialty boutique buyer might say "customers keep asking for SKU X but it's always out of stock." An independent retailer might say "I have to guess how much to order each time." A regional chain buyer might say "my managers hate calling you for each PO." These are the problems the stocking program solves. The diagnosis phase is the most important part of the call — if you don't surface the buyer's specific pain, your solution sounds like every other distributor's pitch.

Phase 2: Solution (15-18 minutes). Position the stocking program as the solution to their specific headache. Show them how a 12-month agreement with quarterly reorders eliminates the guesswork, solves the stockout problem, and saves their managers time. Walk through the case-pack economics (keystone markup = 50% retail margin). Show them the 12-month calendar of scheduled drops. Anchor on the first drop date (e.g., "Your first drop will be August 15th, which puts you ready for back-to-school shopping"). The solution phase is the bulk of the call — the buyer needs to see the structure, understand the economics, and visualize the 12 months ahead.

Phase 3: Close (2-3 minutes). Ask "If we solved that stocking headache, would that make it worth locking in the next 4 quarters at the same price?" They say yes. You say "Great, let's put the August 15th drop on the calendar. Do you want to authorize the PO today or wait until next week?" The close is not about price. It's about convenience and cadence. The question "today or next week" is a forced-choice close that doesn't allow them to defer. The "next week" alternative keeps the door open, but the "today" path is the one that captures the urgency.

The Most Common Objection and How to Handle It: "I like the flexibility of spot-buy — I don't want to be locked into anything." Response: "The stocking program is more flexible, not less. You're not locked into pricing — you're locked into supply. With spot-buy, you're locked into ordering crises. With the program, you're locked into steady inventory. Which gives you more flexibility for merchandising?" Reframe the objection as a choice between instability (spot-buy) and stability (stocking program). The buyer isn't really asking for flexibility — they're asking for predictability. The stocking program provides both. The reframing exposes what the buyer actually wants, and lets you redirect the conversation to the stocking program's benefits.

The Second Most Common Objection: "The price is too high." Response: "Let me show you the per-case economics at the keystone markup. If you buy at $X per case and retail at $2X, your margin is 50% on every unit. The stocking program guarantees you'll have the inventory to sell 4 quarters in a row — the unit economics are the same, but the volume is 4x. Your annual gross profit on this category will be $Y, vs $Y/4 if you spot-buy 1 quarter. The per-unit cost is slightly higher; the per-unit profit is much higher." Walk through the math on paper. The math is the buyer's boss's math. The buyer is not the final decision-maker on price; the buyer's controller or owner is. The math wins the conversation with the controller. The pitch wins the conversation with the buyer. Both conversations are needed.

The Single Most Important Preparation: Know their last 3 POs. Mention something specific from their purchase history. "I saw your Q1 order of 48 cases of SKU X. Did that sell through faster than you expected?" This shows you're paying attention and builds credibility. The 22-minute call is not a cold call. It's a follow-up to an existing relationship. The pitch acknowledges the existing relationship and offers to upgrade it. The buyer feels seen, not sold. The upgrade from spot-buy to stocking program is a small step in the buyer's mind — they're already buying from you, they're just changing the terms. The conversation is a 22-minute version of "let's make this easier for both of us."

The Output of Day 2: By the end of tomorrow, you will have a practiced pitch and a booked call to Account #1 for Day 5-7. That is the output. That is the work. That is what compounds over the next 89 days. Five stocking-program conversions in 30 days at $48K average = $240K in new protected revenue. By Day 30, the autopsy's reorder rate has moved 4-6 percentage points. By Day 60, it has moved 8-12 percentage points. By Day 90, the gap that looked insurmountable on Day 1 is half-closed. The next 89 days are the offer rebuild. The 22-minute call is the lever. The pitch is the work. Tomorrow you build the pitch.

Prep work (15 minutes tonight): Pick the single account you identified in tonight's worksheet as Account #1. Open their purchase history. Write down their last 3 POs (date, dollar value, products). Write down one sentence describing what category they buy from you. Bring that to tomorrow's lesson — Day 2 walks you through the 22-minute call structure using Account #1 as the live example. You will leave Day 2 with a practiced pitch and a calendar invite to deliver it. The most common mistake at this stage is "I'll get to it next week." The most common success pattern is "I scheduled the call tonight, 14 days from now, before the prospect's next stockout cycle." Tonight you book the call. Tomorrow you build the pitch. By Friday, you've delivered it. That is the cadence that compounds.

Clozo Academy Proprietary Curriculum — Module 1, Day 1: The Wholesale Account Mix Autopsy