Top 10 Mobile Gaming Revenue KPIs

Direct Answer

Why Mobile Gaming Measures Differently

Mobile gaming operates on a free-to-play (F2P) model where 95% of users never pay. Revenue comes from a tiny fraction of whales and ad impressions. This forces KPIs to focus on unit economics—not total bookings. Unlike B2B SaaS with annual contracts, a mobile game’s revenue is volatile, session-based, and heavily influenced by UA spend.

Key differences:

• Short attention spans: A player’s lifetime value (LTV) is often calculated over 7–30 days, not 12 months.
• High churn: 80% of users stop playing after Day 1. Retention is the single biggest predictor of revenue.
• Ad revenue as a lever: Many games earn 30–50% of total revenue from rewarded video ads, requiring separate KPI tracking.
• Platform fees: Apple and Google take 15–30% of all IAP revenue, so net revenue KPIs must account for this.

The Most Important KPIs to Track

1. Lifetime Value (LTV) LTV is the total net revenue a player generates before churning. Calculate it as: LTV = (Average Revenue Per Paying User × Average Paying Lifetime) – UA Cost Benchmark: Top-grossing games (e.g., *Candy Crush*, *Clash of Clans*) see 90-day LTVs of $5–$15.

Use Singular or Adjust to model LTV by source. A common mistake is using blended LTV; always segment by UA channel (e.g., Facebook vs. TikTok).

2. Cost Per Install (CPI) CPI is the UA cost to acquire one new user. Formula: Total UA Spend / New Installs.

Benchmark: In 2024, average CPI for iOS is $3.50 (gaming) and $2.10 for Android (Source: Liftoff). Hyper-casual games often target sub-$0.30 CPI, while mid-core RPGs can exceed $8. Track CPI by ad network using AppLovin or Unity Ads.

3. Average Revenue Per User (ARPU) Total net revenue divided by total active users over a period (e.g., daily or monthly). Formula: Total Revenue / Total Users. Benchmark: A healthy casual game has $0.10–$0.30 daily ARPU. Mid-core games hit $0.50–$1.00. ARPU is a top-level health metric but hides payer/non-payer splits.

4. Average Revenue Per Paying User (ARPPU) Total net revenue from paying users divided by number of paying users. Formula: Total Revenue from Payers / Number of Payers.

Benchmark: Top-grossing games have ARPPU of $20–$50 per month. If ARPPU is high but ARPU is low, you have a tiny payer base—common in strategy games. Use GameAnalytics to segment payers.

5. Day 1, Day 7, Day 30 Retention The percentage of users who return to the game on a specific day after install.

• Day 1: 40–50% is good for casual; 30% is poor for mid-core.
• Day 7: 15–25% is average; top games hit 30%+.
• Day 30: 5–10% is typical; premium games (e.g., *Genshin Impact*) see 15%+.

Retention is the strongest leading indicator of LTV. Use Firebase or Mixpanel to track cohorts.

6. Conversion Rate (Payer Rate) Percentage of users who make any IAP. Benchmark: 2–5% for most F2P games. Hyper-casual games often have <1% payer rate, relying on ads. A 10%+ payer rate is exceptional (e.g., *Pokémon GO*). Track via RevenueCat.

7. Session Frequency & Length

• Session Frequency: Average sessions per user per day. Target: 3–5 for casual, 5–8 for mid-core.
• Session Length: Average time spent per session. Target: 5–15 minutes for casual, 15–30 for RPGs.

Low session frequency with high length indicates deep engagement but poor habit formation. Use Amplitude for behavioral analytics.

8. Ad Revenue Per User (ARPU-Ad) Total ad revenue divided by total users. Benchmark: $0.02–$0.10 per user per day for rewarded video. If ad revenue exceeds IAP revenue, your game is ad-dependent. Tools: ironSource (now Unity) and AdMob.

9. Payback Period Time (in days) to recover UA cost from a user’s revenue. Formula: CPI / Daily ARPU. Benchmark: Under 30 days is ideal for casual; 60–90 days is acceptable for mid-core. A payback period >90 days signals poor unit economics.

10. Monthly Active Users (MAU) & Daily Active Users (DAU)

• DAU/MAU Ratio: Measures stickiness. Target: 20–30% for casual, 10–20% for mid-core.
• DAU: Absolute volume. A game with 1M DAU and $0.10 ARPU generates $100K daily revenue.

Track via Adjust or Tenjin.

Real Operators

Supercell (*Clash of Clans*, *Brawl Stars*)

• Uses Clari for revenue forecasting and Salesforce for CRM (though their B2B side is minimal).
• Benchmarks: 90-day LTV of $12, CPI of $4.50, Day 7 retention of 28%.
• They segment users by spend (whales, dolphins, minnows) and adjust in-game events weekly.

King (*Candy Crush Saga*)

• Relies on Adjust for attribution and GameAnalytics for KPI dashboards.
• Benchmarks: ARPU of $0.18, payer rate of 4.5%, ARPPU of $4.00.
• Their failure mode was over-reliance on IAP; they later added rewarded video ads, boosting ad revenue by 40%.

Zynga (*Words With Friends*, *FarmVille*)

• Uses Singular for UA optimization and Amplitude for retention analysis.
• Benchmarks: CPI of $2.80, Day 30 retention of 8%, payback period of 45 days.
• They failed by ignoring ad revenue in early 2020s, missing a $200M opportunity.

Failure Modes

Vanity Metrics Trap Focusing on total downloads or MAU without cohort-level LTV. Example: A game with 10M downloads but $0.01 ARPU is a failure. Always segment by install date and source.

Ignoring Ad Revenue Many studios treat ads as secondary. In hyper-casual games, ad revenue is 80%+ of total. Failing to optimize eCPM (effective cost per mille) via AdMob mediation can halve revenue.

Over-Optimizing CPI Driving CPI to $0.10 may attract low-quality users with zero retention. A $2.00 CPI with 30% Day 7 retention is better than $0.50 CPI with 5% retention. Use Liftoff to test UA quality.

Cohort Blindness Blending all users into one ARPU hides dying cohorts. If your Day 30 retention drops from 10% to 6% over three months, you’ll miss it. Set up automated cohort alerts in Mixpanel.

Reporting Cadence

Daily: Check CPI, Day 1 retention, and DAU. If CPI spikes >20%, pause underperforming ad networks. Weekly: Review LTV by cohort, ARPU, and conversion rate. Adjust in-game pricing or event rewards. Monthly: Full P&L review with payback period and ad revenue share. Rebalance UA budget across channels.

30-60-90

Days 1–30: Stabilize UA & Attribution

• Set up Adjust or Singular for real-time attribution.
• Define your top 5 KPIs: CPI, Day 1 retention, ARPU, conversion rate, and payback period.
• Run A/B tests on three ad creatives (video, playable, banner) to find lowest CPI.
• Target: CPI under $3.00, Day 1 retention above 40%.

Days 31–60: Optimize Monetization

• Implement RevenueCat for IAP tracking and AdMob for ad mediation.
• Run A/B tests on pricing (e.g., $0.99 vs. $1.99 starter pack).
• Analyze payer rate and ARPPU. If payer rate is below 2%, add a rewarded video ad for extra lives.
• Target: ARPU of $0.15, payer rate of 3%.

Days 61–90: Scale Live Operations

• Launch weekly in-game events (e.g., double XP, limited-time offers) using GameAnalytics to measure impact.
• Build cohort dashboards in Tableau or Looker to track LTV by source.
• Reallocate UA spend: 70% to top-performing channels, 30% to test new ones.
• Target: Payback period under 45 days, Day 7 retention above 20%.

FAQ

What is the single most important KPI for mobile gaming? LTV. Everything else—CPI, retention, ARPU—feeds into LTV. If LTV > CPI, you can scale profitably.

How do I calculate LTV without historical data? Use a proxy: LTV = ARPU × Average Lifetime Days. For a new game, assume 30-day lifetime and use Day 7 ARPU × 4.3. Refine as data accumulates.

Why is Day 1 retention more important than Day 30? Day 1 retention is the strongest predictor of long-term engagement. A 10% increase in Day 1 retention often correlates with a 30% lift in LTV.

What’s a good CPI for a hyper-casual game? Under $0.30 on iOS, under $0.15 on Android. But always pair with retention—if CPI is low but Day 1 retention is <25%, you’re acquiring junk users.

How do I track ad revenue separately from IAP? Use AdMob or ironSource SDKs to report ad revenue per user. In your dashboard, create two ARPU lines: ARPU-IAP and ARPU-Ad. Sum for total ARPU.

What tools do top studios use?

• Singular or Adjust for attribution.
• RevenueCat for IAP management.
• GameAnalytics or Amplitude for behavioral analytics.
• Tableau or Looker for custom dashboards.
• Clari for revenue forecasting (used by Supercell).

Sources

• Liftoff Mobile Gaming Benchmarks 2024
• Adjust Mobile Gaming KPI Guide
• GameAnalytics Mobile Gaming Benchmarks
• RevenueCat Mobile Gaming Monetization Report
• Singular ROI Benchmarks for Gaming
• Clari Revenue Intelligence for Gaming