12 Calculators

Interactive Calculators

Model your revenue metrics in real time. Adjust the inputs to see how pipeline coverage, deal velocity, and compensation scenarios change for consumer mobile applications.

Estimate ad revenue potential based on DAU, session metrics, ad format mix, and eCPM assumptions.

Inputs

Daily Active Users1.5

Avg Sessions per User per Day1.5

Rewarded Video Impressions per User/Day1.5

Rewarded Video eCPM1.5

Interstitial Impressions per User/Day1.5

Interstitial eCPM1.5

Banner Impressions per User/Day1.5

Banner eCPM1.5

Results

Total Daily Ad Revenue

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Total Monthly Ad Revenue

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Total Annual Ad Revenue

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ARPDAU (Average Revenue Per DAU)

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Daily Rewarded Video Revenue

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Daily Interstitial Revenue

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Daily Banner Revenue

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Rewarded Video ARPDAU

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Interstitial ARPDAU

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Banner ARPDAU

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arpdau Benchmarks

good: 0.05excellent: 0.15

rewarded ecpm Benchmarks

good: 15excellent: 35

Calculate customer acquisition cost, payback period, and return on ad spend for paid acquisition channels.

Inputs

Monthly Ad Spend12.99

Monthly Installs from Ads12.99

Install-to-Trial Conversion Rate12.99%

Trial-to-Paid Conversion Rate12.99%

Blended Subscriber LTV12.99

Average Monthly Subscription Price12.99

Results

Cost Per Install (CPI)

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Cost Per Trial

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Cost Per Subscriber (CAC)

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Monthly New Subscribers

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Incremental MRR

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Return on Ad Spend (ROAS)

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CAC Payback Period (months)

—

cost per subscriber Benchmarks

good: 50excellent: 30

roas Benchmarks

good: 3excellent: 5

payback months Benchmarks

good: 6excellent: 3

Project ad revenue based on eCPM, fill rate, impressions, and user segments.

Inputs

Daily Active Users2.5

Ad Impressions Per User Per Day2.5

Average eCPM ($)$2.5

Fill Rate2.5%

iOS User %2.5

iOS eCPM Premium Multiplier2.5

Results

Daily Filled Impressions

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Blended eCPM

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Daily Ad Revenue

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Monthly Ad Revenue

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Annual Ad Revenue

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Ad ARPDAU

—

Monthly Impressions

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blended ecpm Benchmarks

good: 10excellent: 25

Model your freemium funnel from install to paid subscription, identifying the biggest drop-off points and revenue opportunities.

Inputs

Monthly Installs12.99

Install to Activation Rate12.99%

Activation to Paywall Exposure Rate12.99%

Paywall to Trial Start Rate12.99%

Trial to Paid Conversion Rate12.99%

Average Monthly Price12.99

Results

Monthly Activated Users

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Monthly Trial Starts

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Monthly New Subscribers

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Overall Free-to-Paid Conversion

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Overall Trial Start Rate

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Monthly New MRR

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Annual New Subscriber Revenue

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Paywall View to Subscribe Rate

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Activation Drop-off %

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Trial Start Drop-off %

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Trial-to-Paid Drop-off %

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free to paid overall Benchmarks

good: 0.04excellent: 0.08

trial start rate overall Benchmarks

good: 0.08excellent: 0.15

Model viral growth trajectories based on K-factor, cycle time, and non-viral acquisition.

Inputs

Starting Monthly Active Users12

Viral Coefficient (K)12

Viral Cycle Time (Days)12

Non-Viral Monthly Acquisition12

Monthly Churn Rate12%

Projection Months12

Results

Monthly Viral Growth Rate

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Net Monthly Growth Rate

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Projected Users (Viral Only)

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Total Non-Viral Users Added

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Total Projected Users

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Viral Users Generated

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Blended CAC Reduction %

—

k factor Benchmarks

good: 0.3excellent: 0.7

Calculate projected LTV for subscription apps based on pricing, retention, and churn assumptions.

Inputs

Monthly Subscription Price0.85

Annual Subscription Price0.85

Annual Plan Mix (% of subscribers)0.85

Monthly Churn Rate0.85%

Annual Churn Rate0.85%

Gross Margin0.85%

Results

Monthly Subscriber LTV

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Annual Subscriber LTV

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Blended Average LTV

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Average Monthly LTV

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Annual Revenue per Subscriber

—

monthly ltv Benchmarks

good: 80excellent: 150

blended ltv Benchmarks

good: 100excellent: 200

Model paywall impression-to-trial conversion with A/B test scenario planning.

Inputs

Monthly Paywall Impressions12.99

Current Paywall Tap-Through Rate12.99%

Current Trial Start Rate (of taps)12.99%

Optimized Tap-Through Rate12.99%

Optimized Trial Start Rate12.99%

Average Monthly Price12.99

Results

Current Monthly Taps

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Current Monthly Trials

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Current Monthly Revenue

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Optimized Monthly Taps

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Optimized Monthly Trials

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Optimized Monthly Revenue

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Monthly Revenue Uplift

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Revenue Uplift %

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Annual Revenue Uplift

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uplift percentage Benchmarks

good: 0.3excellent: 0.6

Model revenue impact of price changes using elasticity estimates for your app category.

Inputs

Current Monthly Price0.05

Current Monthly Subscribers0.05

Price Elasticity of Demand0.05

Proposed New Price0.05

Annual Churn at Current Price0.05%

Churn Increase Per 10% Price Increase0.05%

Results

Current Monthly Revenue

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Current Annual Revenue

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Price Change %

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Expected Demand Change %

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Projected Subscribers at New Price

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Projected Annual Churn

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Projected Monthly Revenue

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Projected Annual Revenue

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Annual Revenue Change

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Revenue Change %

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revenue change pct Benchmarks

good: 0.1excellent: 0.25

Calculate the revenue impact of push notification campaigns with engagement and conversion modeling.

Inputs

Total Push-Enabled Users0.5

Notifications Sent Per Month0.5

Average Open Rate0.5%

In-App Conversion Rate (of opens)0.5%

Average Conversion Value$0.5

Cost Per 1000 Notifications0.5

Results

Monthly Opens

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Monthly Conversions

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Monthly Revenue

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Monthly Cost

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Monthly ROI

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Annual Revenue

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Annual Profit

—

monthly roi Benchmarks

good: 2excellent: 5

Model how retention improvements affect LTV, MRR, and total revenue over time.

Inputs

Current Day 7 Retention %12.99%

Target Day 7 Retention %12.99%

Current Day 30 Retention %12.99%

Target Day 30 Retention %12.99%

Monthly New Installs12.99

Free-to-Paid Conversion %12.99

Average Monthly Price12.99

Results

Current Monthly New Subscribers

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Estimated LTV Improvement Multiple

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Current Monthly Recurring Revenue

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Projected MRR (with retention improvement)

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Monthly Revenue Uplift

—

Annual Revenue Impact

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blended ltv multiplier Benchmarks

good: 1.25excellent: 1.5

annual revenue impact Benchmarks

good: 100000excellent: 500000

Model how churn rate changes affect MRR, subscriber count, and annual revenue.

Inputs

Current Active Subscribers12

Current MRR$12

Current Monthly Churn Rate12%

Target Monthly Churn Rate12%

Monthly New Subscribers12

Projection Months12

Results

Current Annual Churn Rate

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Projected Subscribers (Current Churn)

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Projected Subscribers (Target Churn)

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Projected MRR (Current Churn)

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Projected MRR (Target Churn)

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Monthly MRR Difference

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Annual Revenue Impact

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Subscribers Saved

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current monthly churn Benchmarks

good: 0.05excellent: 0.03

Model viral growth mechanics, calculate K-factor, and project organic user acquisition from viral loops.

Inputs

Current Monthly Active Users0.2

Average Invites Sent per User per Month0.2

Invite-to-Install Conversion Rate0.2%

Paid Monthly Installs0.2

Other Organic Monthly Installs0.2

Monthly User Churn Rate0.2%

Results

Viral Coefficient (K-Factor)

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Monthly Viral Installs

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Total Monthly Installs

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Viral as % of Total Installs

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Net Monthly User Growth

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Monthly Growth Rate

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Months to Double MAU

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Projected MAU (3 months)

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Projected MAU (6 months)

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Projected MAU (12 months)

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k factor Benchmarks

good: 0.3excellent: 0.6

viral percentage Benchmarks

good: 0.15excellent: 0.3