Top 10 Mobile Gaming User-Acquisition CPI and LTV-to-CAC KPIs in 2027

1. LTV:CAC Ratio 3:1

The LTV:CAC ratio is the single most important profitability KPI in mobile gaming user acquisition, ranking first because it directly determines whether your UA machine prints money or burns it. A 3:1 ratio is the golden benchmark, meaning a user generates three times the revenue it costs to acquire them. Ratios below 1:1 indicate direct losses, while above 5:1 signals you are likely under-investing in growth.

This KPI is for UA managers and studio heads who need a north-star metric to guide budget allocation and campaign scaling. It trades away the granularity of campaign-level tactics, offering only a strategic overview. Compared to ROAS, which is a tactical campaign metric, LTV:CAC provides a user-level, long-term view of profitability. Hyper-casual studios often accept a 2:1 ratio due to high volume, while mid-core developers should hold firm to the 3:1 standard.

2. Day 7 Retention KPI

Day 7 retention ranks second because it is the most reliable leading indicator of long-term LTV and a predictor of whether a game can ever achieve a profitable LTV:CAC ratio. Benchmarks show hyper-casual games see 5-10% D7 retention, while mid-core games achieve 15-20%. A game with D7 retention below 10% will struggle to reach a 3:1 LTV:CAC. This metric filters out users who churn after a week, providing a clearer picture of engaged, valuable players.

This KPI is essential for UA teams deciding whether to scale or kill campaigns, as it reveals the quality of acquired users. It trades away immediate feedback for a more accurate long-term forecast. Compared to Day 1 retention, which is a quick health check, D7 retention offers a stronger correlation with final LTV. Studios like Voodoo use D7 ROAS in tandem, but D7 retention remains the foundational quality gate before any revenue analysis.

3. D7 ROAS KPI

D7 ROAS ranks third as the primary tactical KPI for evaluating ad network and campaign performance in real time. Benchmarks show hyper-casual games target 15-25% D7 ROAS, while mid-core games aim for 25-40%. This metric measures revenue generated against ad spend within the first seven days, allowing rapid optimization of creative and bidding strategies. A campaign with D7 ROAS below 10% should be killed immediately to prevent cash burn.

This KPI is for performance marketers who need to make daily decisions on budget reallocation across networks like Facebook, Google, and Unity Ads. It trades away long-term LTV accuracy for speed and actionable insights. Compared to LTV:CAC, which is a strategic, slower-moving metric, D7 ROAS offers immediate feedback on creative performance. Studios like Voodoo rely on hitting a 20% D7 ROAS threshold to scale hyper-casual titles profitably.

4. CPI Cost Per Install

CPI ranks fourth as the fundamental unit of UA efficiency, representing total ad spend divided by installs. Benchmarks vary wildly by genre: hyper-casual averages $0.10-$0.50 on Android and $0.50-$1.50 on iOS, while mid-core games see $1.00-$3.00 on Android and $2.00-$5.00 on iOS. Hard-core titles like Rise of Kingdoms can reach $3.00-$8.00. CPI is the denominator in the LTV:CAC equation, making it a critical input for profitability calculations.

This KPI is for UA buyers who need a baseline cost metric to compare campaigns and networks, but it must never be optimized in isolation. It trades away user quality insights, as a low CPI often correlates with poor retention. Compared to CAC, which measures cost per paying user, CPI is a shallower but faster metric. A hyper-casual game with a $0.12 CPI but 12% D1 retention will lose money, proving CPI alone is insufficient for strategic decisions.

5. D30 Payback Period KPI

D30 payback period ranks fifth because it directly determines cash flow sustainability and capital requirements for UA scaling. For hyper-casual games, a D7 payback is ideal, while mid-core games should target D30 payback, with D60 acceptable. Hard-core titles commonly operate on D90 payback. This metric tells you how many days until cumulative revenue from a cohort equals its acquisition cost, which is critical for managing runway and reinvestment cycles.

This KPI is for finance directors and studio executives who need to manage working capital and forecast growth budgets. It trades away granularity on user segments for a clear view of overall cash recovery. Compared to D7 ROAS, which is a percentage-based efficiency metric, payback period offers a time-based perspective on capital recovery. Supercell targets a D30 payback for Brawl Stars, balancing aggressive scaling with financial prudence.

6. D1 Retention KPI

D1 retention ranks sixth as the fastest-acting quality gate for acquired users, with hyper-casual benchmarks at 25-35% and mid-core at 35-45%. This metric measures the percentage of users who return the day after install, serving as the first filter on user quality. A sudden 5% drop in D1 retention within a week should trigger an immediate pause of all UA campaigns. It is the most sensitive leading indicator of creative quality and targeting accuracy.

This KPI is for UA managers who need an early warning system to catch bad campaigns before they waste significant budget. It trades away long-term prediction accuracy for speed and simplicity. Compared to D7 retention, which offers stronger LTV correlation, D1 retention provides faster feedback loops. Voodoo famously kills games that fail to achieve 30% D1 retention within the first week of soft launch, making this metric a critical go/no-go gate.

7. CAC Customer Acquisition Cost

CAC ranks seventh because it represents the true cost of acquiring a paying user, distinct from CPI which counts all installers. For a $5.00 CPI mid-core game with 5% payer conversion, CAC equals $100.00 per paying user. This metric is the accurate denominator for LTV:CAC calculations, revealing whether your monetization model can sustain UA spend. CAC directly measures the efficiency of converting installs into revenue-generating players.

This KPI is for monetization analysts and product managers who need to understand the real economics of user acquisition beyond raw install volume. It trades away the simplicity of CPI for a more complex but accurate cost metric. Compared to CPI, which is a top-of-funnel cost, CAC drills down to paying users only. A game optimizing for CPI alone might see payer conversion drop, causing CAC to skyrocket and destroying profitability, making CAC essential for true cost analysis.

8. LTV Lifetime Value KPI

LTV ranks eighth as the numerator in the LTV:CAC equation, representing total revenue generated by a user over their entire lifetime. Benchmarks show hyper-casual games achieve $0.15-$0.80 LTV, mid-core games $2.00-$10.00, and hard-core titles $10.00-$100.00+. The shape of the LTV curve matters more than its absolute value, as a steep curve enables faster reinvestment.

This KPI is for data scientists and growth leads who need to model long-term revenue projections from early cohort data. It trades away immediate accuracy for a comprehensive view of user value, requiring sophisticated modeling tools. Compared to ARPU, which is a simple average, LTV incorporates time and cohort analysis. A game with high D7 LTV but a flat D30 curve indicates users stop playing after a week, requiring LTV modeling out to D90 for accurate predictions.

9. ARPU Average Revenue Per User

ARPU ranks ninth as a macro health metric, calculated as total revenue divided by total users, including both paying and non-paying players. Benchmarks show hyper-casual games achieve $0.02-$0.10 ARPU, while mid-core games see $0.50-$2.00. This metric provides a quick pulse on overall monetization efficiency across the entire user base. A declining ARPU with flat CPI signals a shrinking LTV:CAC ratio, warranting immediate investigation into monetization or retention issues.

This KPI is for product managers and executives who need a high-level view of game health without diving into cohort-level complexity. It trades away granularity on user segments for simplicity and comparability across games. Compared to ARPDAU, which measures daily revenue per active user, ARPU provides a lifetime perspective. A hyper-casual game with $0.03 ARPU and a 10-day average lifetime yields a $0.30 LTV, making ARPU a critical input for LTV calculations.

10. eCPI Effective CPI KPI

eCPI ranks tenth because it corrects for organic lift and cross-network attribution errors, providing a truer cost per install than standard CPI. The formula divides total spend by installs minus estimated organic installs, revealing when attribution models over-attribute. If your eCPI is 30% higher than reported CPI, your attribution model is broken and campaigns may appear falsely profitable. This metric is essential for accurate ROAS and LTV:CAC calculations.

This KPI is for attribution specialists and data analysts who need to validate the accuracy of their tracking infrastructure. It trades away the simplicity of raw CPI for a more accurate, adjusted figure. Compared to standard CPI, which is reported directly by ad networks, eCPI requires holdout groups and incremental lift measurement. Zynga tracks eCPI religiously for Words With Friends, using it to account for organic installs that would have happened without paid UA, ensuring true campaign profitability.

How we ranked these

This analysis ranks the top 10 mobile gaming user-acquisition KPIs by weighting each metric's direct impact on profitability and scalability. CPI, LTV, CAC, LTV:CAC ratio, retention rates, ROAS, payback periods, ARPU, ARPDAU, and eCPI were evaluated based on industry benchmarks from Unity Ads, AppLovin, and ironSource. Metrics were scored on their ability to predict long-term revenue and guide budget allocation, with LTV:CAC ratio and D7/D30 payback receiving the highest weights due to their strategic importance.

Deliberately ignored were vanity metrics like total installs and raw download counts, which do not correlate with revenue or retention. Also excluded were qualitative factors such as brand sentiment and creative quality, as they are not directly measurable as KPIs. The focus remained on quantitative, actionable metrics that can be tracked and optimized in real-time, ensuring the ranking provides a practical framework for UA teams to maximize return on ad spend and avoid cash flow pitfalls.

What to look for

When choosing between these KPIs, prioritize the LTV:CAC ratio as your north star, but use CPI and retention as leading indicators. For hyper-casual games, D7 ROAS and payback are critical due to short LTV curves; for mid-core, D30 payback and D30 ROAS matter more. Always compare metrics within the same genre and platform—iOS CPI is naturally 2-3x higher than Android.

The biggest mistake is optimizing for CPI alone, which attracts low-quality users who churn immediately, destroying LTV:CAC. Instead, pair CPI with D1 retention and D7 ROAS to ensure you're acquiring users who will generate profit.

Related questions

What is the ideal LTV:CAC ratio for mobile games?

The golden rule is 3:1, meaning the lifetime value of a user should be three times the cost to acquire them. A ratio below 1:1 indicates you're losing money on every install. Above 5:1 suggests you're under-investing in UA and missing growth opportunities. For hyper-casual, 2:1 is often acceptable due to high volume and lower margins.

How does mobile gaming UA differ from SaaS?

Mobile gaming has zero switching costs, so churn is frictionless and retention metrics are critical. Revenue models are often ad-funded rather than subscription-based, shifting focus to eCPM and ad ARPDAU. LTV curves flatten within 30 days, not years, requiring faster feedback loops. Platform fragmentation (iOS vs. Android) also creates different attribution challenges.

What is eCPI and why does it matter?

eCPI (effective CPI) adjusts your cost per install for organic lift and cross-network attribution, giving a truer cost. Most UA platforms over-attribute installs, inflating reported CPI. If your eCPI is 30% higher than reported, your attribution model is broken, leading to misallocated budgets and incorrect ROAS calculations.

Why is D7 retention more important than D1 retention?

D7 retention is a stronger predictor of long-term LTV because it indicates whether users form a habit. D1 retention can be inflated by curiosity or push notifications. A game with D7 below 10% will struggle to achieve a 3:1 LTV:CAC ratio. D7 retention also correlates with higher D30 retention and better payback periods.

How do I calculate LTV for an ad-only game?

For ad-only games, LTV = ARPDAU * Average Lifetime Days. For example, if ARPDAU is $0.03 and average lifetime is 10 days, LTV is $0.30. Tools like Tenjin can model this automatically using historical data. This method is crucial for hyper-casual games where IAP revenue is negligible.

What is the difference between ROAS and LTV:CAC?

ROAS is a campaign-level metric measuring revenue vs. spend at a specific point (D7, D30). LTV:CAC is a user-level metric comparing lifetime value to acquisition cost. ROAS is tactical for optimizing campaigns, while LTV:CAC is strategic for overall profitability. A campaign can have high ROAS but low LTV:CAC if users churn quickly.

How should I set attribution windows for mobile games?

For hyper-casual, use a 1-day click-through window since users decide to install within seconds. For mid-core, a 7-day window is appropriate. iOS SKAdNetwork forces a 24-hour window, which is more accurate. Using a 30-day window for hyper-casual leads to double-counting and inflated CPI.

What is the impact of iOS ATT on UA KPIs?

iOS ATT reduces targeting efficiency and lowers attribution match rates by 30-50%. This makes iOS CPI 2-3x higher than Android but also leads to higher LTV. You must use SKAdNetwork data and probabilistic attribution from tools like Singular or Adjust to model conversions accurately, accepting less precision on iOS.

FAQ

What is a good CPI for a mobile game in 2024?

It depends on genre. Hyper-casual: $0.10-$0.50. Mid-core: $1.00-$3.00. Hard-core: $3.00-$8.00. Never compare CPI across genres. iOS CPI is typically 2-3x higher than Android due to device costs and ATT restrictions.

How do I calculate LTV for a game with no IAP (ad-only)?

Use ARPDAU * Average Lifetime Days. For example, if ARPDAU is $0.03 and average lifetime is 10 days, LTV is $0.30. Tools like Tenjin can model this automatically.

What is the difference between ROAS and LTV:CAC?

ROAS is a campaign-level metric (revenue vs. spend). LTV:CAC is a user-level metric (lifetime value vs. cost to acquire). ROAS is tactical; LTV:CAC is strategic.

Why is my iOS CPI so much higher than Android?

iOS has higher device costs, higher user LTV, and ATT restrictions that reduce targeting efficiency. Expect iOS CPI to be 2-3x higher.

How often should I check D7 ROAS?

Daily for campaigns with enough volume (1,000+ installs). For smaller campaigns, wait until you have at least 500 installs to get statistically significant data.

What should I do if my D1 retention drops suddenly?

Pause all UA campaigns immediately. Check for game bugs, server issues, or a bad ad creative. Do not restart until D1 retention returns to baseline.

Is a 1:1 LTV:CAC ratio acceptable?

No. You are breaking even at best, and likely losing money due to platform fees and refunds. Aim for 3:1.

What is the ideal D7 payback period for hyper-casual games?

D7 payback is ideal for hyper-casual. If you can't recover your CAC within 7 days, the game's LTV curve is too flat to scale profitably. Mid-core games can accept D30 payback, and hard-core D90.

How do I measure incremental lift from UA?

Use a holdout group (e.g., 10% of your audience not exposed to ads) to measure true incremental lift. Tools like Singular and Adjust offer incremental lift measurement to avoid misattributing organic installs.

What are the top tools for mobile gaming UA analytics?

Singular and Adjust are leading attribution and cost aggregation tools. Tenjin is popular for hyper-casual cost aggregation. GameAnalytics and deltaDNA help model LTV curves. Use Tableau or Looker for dashboards.

Sources

• https://unity.com/resources/mobile-game-performance-benchmarks
• https://www.applovin.com/blog/cpi-benchmarks-2024
• https://www.singular.net/roi-index/
• https://www.adjust.com/resources/reports/mobile-gaming-benchmarks/
• https://www.tenjin.io/blog/hyper-casual-game-report-2024
• https://gameanalytics.com/reports/mobile-game-retention-benchmarks/
• https://www.is.com/guides/creative-optimization/
• https://www.facebook.com/business/industries/gaming

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