Lifetime Value

Definition

Lifetime Value (LTV) is the total revenue generated by a user from the moment of installation through app uninstall or inactivity. It combines purchase behavior (IAP, subscriptions, ads), frequency, and duration into a single monetary measure. LTV directly drives ASO strategy: higher LTV justifies more aggressive paid acquisition spend and premium keyword bidding.

How It Works

Apple App Store

App Store Connect reports Revenue (App-Attributed) per install by date cohort. LTV is calculated by summing all revenue attributed to a cohort and dividing by cohort size. App-Attributed Revenue includes IAP, subscriptions, and premium downloads. Ad revenue not included in platform data (requires third-party MMPs).

Google Play Store

Google Play Console reports Revenue per Install in Acquisition reports. Android similarly attributes revenue cohort-based. Google Analytics 4 integration provides event-level purchase tracking for LTV modeling. Ads revenue requires Google AdMob/AdManager integration.

Amazon Appstore

Amazon Developer Dashboard reports revenue per install but with less granularity than Apple/Google. LTV modeling requires third-party tools or manual analysis.

Formulas & Metrics

Simple LTV Formula:

LTV = ARPU × Average Lifespan (in years)

Where ARPU = Average Revenue Per User

Cohort-Based LTV:

LTV = (Total Revenue from Cohort) / (Cohort Size)

Most accurate; accounts for cohort-specific engagement and monetization patterns

Predictive LTV (Month 1 Proxy):

LTV = Month 1 ARPU × 12 (annual projection)

Used for rapid decision-making; assumes consistent monthly spend

LTV by Acquisition Source:

LTV_organic = (Revenue from organic cohort) / (Size of organic cohort)

LTV_paid = (Revenue from paid cohort) / (Size of paid cohort)

Often LTV_organic > LTV_paid by 15–30% due to lower-friction self-selection

LTV:CPI Ratio (Unit Economics):

LTV:CPI Ratio = LTV / CPI

• Ratio > 3:1 = Healthy unit economics (sustainable)
• Ratio 2–3:1 = Marginal (requires optimization)
• Ratio < 2:1 = Unsustainable

Best Practices

1. Segment LTV by Source — Organic, paid search, social, and referral users have different monetization curves. Track separately.

1. Monitor Day 30 LTV as Proxy — Full LTV takes 12+ months. Use D30 ARPU as leading indicator; set targets like $0.50–2.00 D30 ARPU depending on category.

1. Test Monetization Mechanics — A/B test paywall timing, pricing tiers, subscription vs. one-time. Price sensitivity varies by acquisition source.

1. Optimize for LTV Cohort Size — Growth for growth's sake reduces LTV if cohort quality drops. Maintain CPI:LTV ratio > 3:1.

1. Adjust ASO Aggressively Based on LTV — High-LTV apps should bid for broader, more expensive keywords. Low-LTV apps focus on niche, high-intent keywords.

1. Plan Long-Term Retention — LTV is only realized if users stay. Retention improvements (D7, D30) directly lift LTV.

Examples

Example 1: Premium App (Subscription)

• Average Lifespan: 1.8 years
• ARPU: $3.50/month
• LTV = $3.50 × 12 × 1.8 = $75.60
• CPI (Search Ads): $2.50
• LTV:CPI = 30:1 (extremely healthy; can afford aggressive ASO spend)

Example 2: Free-to-Play Game (IAP + Ads)

• 30-Day Cohort Revenue: $1,200,000
• Cohort Size: 100,000 users
• Day 30 ARPU: $12.00
• Projected Annual LTV: $48.00 (accounting for retention curve)
• CPI: $1.50
• LTV:CPI = 32:1 (sustainable growth target; launch more campaigns)

Example 3: Utility App (Low Monetization)

• ARPU: $0.75/month
• Avg Lifespan: 8 months (low retention)
• LTV = $0.75 × 8 = $6.00
• CPI: $2.00
• LTV:CPI = 3:1 (marginal; focus on organic ASO to reduce CAC)

Dependencies

Influences

• wiki:cost-per-install — LTV:CPI ratio determines campaign viability
• Conversion Rate — Higher CVR improves unit economics
• Engagement Score — Engagement drives retention, extending LTV
• Retention Rate — Core driver of lifespan; D7/D30 retention predicts LTV

Depends On

• Star Rating — Poor ratings reduce LTV (users uninstall faster)
• Keyword Ranking — Organic users often have higher LTV than paid
• Search Visibility — Broader organic visibility attracts different user cohorts
• Revenue Metrics — Direct dependency on ARPU, subscription revenue

Platform Comparison

Related Terms

wiki:cost-per-install, Revenue Metrics, Conversion Rate, Retention Rate, Engagement Score

Sources & Further Reading

• Sensor Tower LTV benchmarks by category
• App Annie unit economics research
• Adjust cohort LTV analysis documentation