--- title: "Cohort Revenue Prediction and LTV Forecasting | Lemon AI" description: "Forecast mobile app cohort revenue, ROAS, ARPU, LTV, and payback through D365 with Lemon AI’s patented per-user model, backtested at 5 to 10% MAPE at D365." canonical: "https://lemon-ai.com/predictive-analytics" markdown_url: "https://lemon-ai.com/predictive-analytics.md" language: "en" image: "https://lemon-ai.com/og/predictive-analytics.png" image_alt: "Predicted and actual cohort-revenue curves converging from D0 through D7." schema_types: ["BreadcrumbList","Organization","WebApplication","WebPage","WebSite"] --- # Cohort Prediction Cohort revenue forecasting See what this week's installs will earn through D365\. Compare revenue, ROAS, ARPU, and payback while there is still time to move budget. [Book a demo](https://calendly.com/robert-lemon-ai) Forecast horizon D365 Blind backtest · D365 5% to 10% MAPE Protected method U.S. Patent 12,014,278 B1 Predictive Analytics · Demo data**Cohort value workspace** Saved viewCurrent viewUS growth · full-year valueEarly signal · D30 ＋ − ↗ ⇩ Application / dashboardPuzzle Quest · GrowthDaily Fit · SubscriptionWord Sprint · Global Forecast horizonD7D14D30D60D90D120D180D365 RevenueGrossNet Filters 0 Reset Revenue · D365 ⓘ $42,827 Gross forecast ROAS · D365 ⓘ 131.4% Return on spend ARPU · D365 ⓘ $4.83 Value per install Installs 8,860 $32,593 spend RevenueROASARPU All available install dates Chart: Cumulative cohort revenue through day 365 Inspect cohort day Actual through D28Forecast after D28**D365 · $42,827** CohortsBreakdown SourceCampaignAd setCreativeCountryApp 6 cohorts | Install date | Campaign | Country | D7 | D30 | D60 | D90 | D180 | D365 | | ------------ | -------------- | ------- | ------ | ------ | ------ | ------ | ------ | ------- | | 2026-07-06 | US Prospecting | US | $1,948 | $5,161 | $5,569 | $5,816 | $6,719 | $9,504 | | 2026-07-13 | Android Scale | DE | $1,904 | $5,044 | $5,443 | $5,685 | $6,567 | $9,289 | | 2026-07-20 | Broad Value | DE | $2,136 | $5,658 | $6,106 | $6,377 | $7,367 | $10,420 | | 2026-07-27 | Tutorial Test | US | $1,197 | $3,171 | $3,422 | $3,573 | $4,128 | $5,839 | | 2026-07-06 | Broad Value | CA | $954 | $2,528 | $2,728 | $2,849 | $3,291 | $4,655 | | 2026-07-06 | Tutorial Test | JP | $640 | $1,694 | $1,828 | $1,909 | $2,206 | $3,120 | **No forecast rows match this view**Reset filters Patented model ## The model predicts each user, then totals the cohort Lemon learns from early behavior and static acquisition context instead of extending one average curve across every install. 01 · Inputs ### Two views of each user User features App, country, device, acquisition source Action sequence Event, time, value, and changing event parameters 02 · Per-user model ### Predict future value Encoders learn from the user features and the action sequence, combine those representations, and produce a predicted value for that user. 03 · Cohort output ### Aggregate the decision view Individual predictions roll up into cumulative cohort revenue, ROAS, ARPU, and payback for each selected horizon. U.S. Patent No. 12,014,278 B1 · granted June 18, 2024 Method for automated prediction of user data and features using a predictive model [Read the patent record →](https://patents.google.com/patent/US12014278B1/en) Blind backtest ## See the model prove itself on your history first Setup includes a forecast of mature historical cohorts without showing the model what those cohorts eventually earned. 5% to 10% MAPE at D365 1. 01 Hide the mature D365 outcomes from the model. 2. 02 Forecast each cohort from its earlier user behavior. 3. 03 Compare the forecast with the revenue that actually arrived. Historical cohort backtest D365 revenue | Cohort | Forecast | Actual | Error | | ---------- | -------- | -------- | ----- | | Jan cohort | $104,800 | $100,000 | 4.8% | | Feb cohort | $116,000 | $125,000 | 7.2% | | Mar cohort | $152,740 | $140,000 | 9.1% | See the [cohort forecast backtest audit](https://lemon-ai.com/resources/mobile-app-cohort-forecast-backtest)for the leakage, error, coverage, and budget-decision checks behind a useful result, then [derive a D7 ROAS target from mature cohorts](https://lemon-ai.com/resources/d7-roas-target) before turning the forecast into a scale, hold, or cut rule. [Book a demo](https://calendly.com/robert-lemon-ai) Managed setup ## Start with your history and a blind backtest Lemon maps the source data, configures the model, and validates the result before the forecast workspace is activated for your team. 1. 01 ### Map the source data Pseudonymous identities, events, revenue, and acquisition context. 2. 02 ### Run the historical backtest Forecast mature cohorts blind and inspect the D365 error on your app. 3. 03 ### Activate the workspace Open approved horizons, filters, breakdowns, and saved views for the growth team. Identity Pseudonymous tracker or MMP ID Behavior Timestamped user actions Value Purchase and ad revenue events Acquisition Source, campaign, creative, country, app **Names, email addresses, and phone numbers are not required.**Exact history and volume requirements depend on the app and configured horizons, so they are determined during setup rather than represented by a universal minimum. FAQ ## Questions growth teams ask about cohort forecasts What does Cohort Prediction forecast? Cohort Prediction forecasts cumulative revenue, ROAS, ARPU, and payback through the configured horizon up to D365\. The workspace keeps observed and forecast periods visibly separate, supports gross and net revenue, and can combine or isolate in-app purchase and advertising revenue. How does the prediction model work? Lemon combines early action sequences with static user and acquisition features to predict future value for each pseudonymous user. Those individual predictions are then aggregated into the cohort totals your growth team evaluates. The underlying automated prediction method is covered by U.S. Patent 12,014,278 B1. How is forecast accuracy checked? Before your workspace goes live, Lemon hides the mature outcomes of historical cohorts, predicts their D365 value from earlier behavior, and compares each prediction with the revenue that later arrived. This blind backtest is included in setup. The D365 backtest range is 5% to 10% mean absolute percentage error. What data is required? Setup uses pseudonymous tracker or MMP identifiers, timestamped user actions, revenue events, acquisition dimensions, and relevant static device or attribution features. Names, email addresses, and phone numbers are not required. The exact history and volume needed depend on the app and are determined during setup. How much does Cohort Prediction cost? Cohort Prediction is enabled with the Lemon team. Setup costs $1,399 once per account and includes data mapping, model configuration, and the blind backtest on historical cohorts. After setup, the capability costs $679 per month for each app using the forecast workspace. Availability ## See what your cohorts will earn The one-time setup includes data mapping, model configuration, and the blind backtest on your historical cohorts. The workspace is then enabled per app. [Book a demo](https://calendly.com/robert-lemon-ai) One-time setup · per account $1,399 Per month · per app $679 ## Structured data ```json {"@context":"https://schema.org","@graph":[{"@id":"https://lemon-ai.com/#organization","@type":"Organization","name":"Lemon AI","url":"https://lemon-ai.com/","logo":{"@type":"ImageObject","@id":"https://lemon-ai.com/#logo","url":"https://lemon-ai.com/brand/lemon-ai-mark-512.png","contentUrl":"https://lemon-ai.com/brand/lemon-ai-mark-512.png","width":512,"height":512,"caption":"Lemon AI"},"email":"hi@lemon-ai.com","sameAs":["https://cy.linkedin.com/company/lemon-ai","https://x.com/lemon_ai_adtech","https://www.g2.com/products/lemon-ai/reviews"]},{"@id":"https://lemon-ai.com/#website","@type":"WebSite","name":"Lemon AI","url":"https://lemon-ai.com/","publisher":{"@id":"https://lemon-ai.com/#organization"},"inLanguage":"en"},{"@id":"https://lemon-ai.com/predictive-analytics#breadcrumb","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Lemon AI","item":"https://lemon-ai.com/"},{"@type":"ListItem","position":2,"name":"Cohort Prediction","item":"https://lemon-ai.com/predictive-analytics"}]},{"@id":"https://lemon-ai.com/predictive-analytics#webpage","@type":"WebPage","url":"https://lemon-ai.com/predictive-analytics","name":"Cohort Revenue Prediction and LTV Forecasting | Lemon AI","description":"Forecast mobile app cohort revenue, ROAS, ARPU, LTV, and payback through D365 with Lemon AI’s patented per-user model, backtested at 5 to 10% MAPE at D365.","isPartOf":{"@id":"https://lemon-ai.com/#website"},"publisher":{"@id":"https://lemon-ai.com/#organization"},"inLanguage":"en","about":{"@id":"https://lemon-ai.com/#software"},"breadcrumb":{"@id":"https://lemon-ai.com/predictive-analytics#breadcrumb"}},{"@id":"https://lemon-ai.com/#software","@type":"WebApplication","name":"Lemon AI","url":"https://lemon-ai.com/","description":"Creative intelligence and cohort-revenue forecasting for mobile app and game user-acquisition teams.","applicationCategory":"BusinessApplication","operatingSystem":"Web","browserRequirements":"Requires a modern web browser","provider":{"@id":"https://lemon-ai.com/#organization"},"featureList":["Creative-level spend, installs, purchases, revenue, and ROAS","Creative attribute analysis","Evidence-led creative generation","Cohort revenue and ROAS forecasting through D365","Read-only reporting API and MCP access"],"offers":[{"@type":"Offer","name":"Creative Intelligence annual billing","price":"209","priceCurrency":"USD","url":"https://lemon-ai.com/#pricing","description":"Effective monthly price per app when billed annually.","availability":"https://schema.org/OnlineOnly"},{"@type":"Offer","name":"Cohort Prediction monthly subscription","price":"679","priceCurrency":"USD","url":"https://lemon-ai.com/#pricing","description":"Monthly price per app after a $1,399 one-time account setup.","availability":"https://schema.org/OnlineOnly"}]}]} ```