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User acquisition for mobile games is a different discipline from almost any other app vertical. The genre splits are extreme, LTV curves vary by an order of magnitude between hypercasual and strategy, and creative performance can collapse in 72 hours. Admiral specialises in exactly this environment — running performance UA for mobile games across all major channels, genres, and budget scales.
This page covers how gaming UA actually works, how Admiral’s framework applies to it, and what good performance looks like by genre. If you’re a Head of UA or CMO at a mobile studio, this is written for you.
Mobile game user acquisition (UA) is the practice of acquiring new players for a mobile game through paid and organic channels, then optimising the value of those players over time. The goal is not just volume — it’s profitable volume at scale.
The funnel for mobile game UA has six meaningful stages, each with its own levers:
In fintech or health apps, the product category is relatively homogeneous — the funnel economics within a category are broadly comparable. Gaming is not like this.
A hypercasual runner and a 4X strategy game are both “mobile games,” but they share almost nothing in terms of CPI, creative format, target audience, LTV horizon, or monetisation model. Genre segmentation is the first and most important cut in any gaming UA strategy. Treating a puzzle game like a card battler is how studios burn through budget with nothing to show for it.
Three specific complexities separate gaming UA from other verticals:
Admiral’s proprietary UA framework — the Admiral Performance Loop™ — structures gaming campaigns across five phases. Each phase has distinct inputs, outputs, and decision criteria. Together they close the loop between creative testing, audience intelligence, and budget allocation.
Before spending a dollar at scale, the right measurement infrastructure must be in place. For gaming UA, this means:
Creative is the primary variable in gaming UA performance. The algorithm matters less than the ad. Admiral’s standard is a minimum of 5–8 new creatives per week in active campaigns, structured around a systematic test matrix rather than intuition.
The test structure operates on three axes: hook (the first 3 seconds — what triggers the stop-scroll), format (playable, short-form video, static, UGC), and CTA (soft (“Play free”), urgency (“Join 10M players”), genre-specific (“Can you beat level 1?”)). This matrix generates structured learning rather than isolated creative wins that can’t be replicated.
Creative fatigue is monitored actively. The trigger signals are a CTR drop greater than 25% week-over-week, or an IPM decline of 20%+ with stable spend. When these signals appear, creatives are refreshed — not paused and returned to.
Once the first cohorts have aged to D7, payer signals are available for lookalike construction. Admiral’s audience architecture for gaming campaigns is built on three layers:
Gaming campaigns require forward-looking ROAS modelling because the economics don’t close at D7 — especially for midcore and strategy titles. Admiral’s forecasting approach uses:
Scaling gaming UA without CPI inflation requires structural channel diversification, not just budget increases within a single channel. Admiral’s scale playbook:
Each major channel has a different position in the gaming UA ecosystem. Effective channel strategy means knowing which channels are right for which genre, budget level, and campaign objective.
Apple Search Ads (ASA) captures users who are already searching the App Store — the highest intent traffic available. For gaming UA, this translates directly to installs from users actively looking for a game like yours.
The gaming-specific keyword strategy on ASA has three components: brand keywords (own game and studio name, primarily for protecting share of search), competitor keywords (bidding on rival game titles, particularly effective for genre launches), and genre keywords (e.g., “match 3 puzzle game,” “idle RPG,” “city builder game”). Genre keywords typically deliver higher volume than brand at higher CPI; competitor keywords can be highly efficient when your game has a comparable hook to a market leader.
ASA is particularly strong for midcore and strategy titles where users research before downloading. For hypercasual, where discovery is impulse-driven, ASA budget allocation should be smaller relative to TikTok and Meta.
TikTok is the strongest channel for casual and hypercasual games — particularly titles with visually engaging gameplay, satisfying outcomes, or social mechanics. The algorithm rewards creative quality aggressively, which aligns well with the creative-intensive nature of gaming UA.
Gaming-specific TikTok tactics that work:
TikTok’s measurement on iOS is more limited than Meta due to ATT restrictions, which means SKAdNetwork conversion value mapping needs to be carefully configured to extract signal. Android performance is more attributable and typically delivers stronger ROAS data.
Meta remains the most scalable channel for gaming UA at volume. The combination of broad audience reach, mature gaming-specific signals (Meta knows who plays games, who pays, and at what frequency), and Advantage+ automation makes it the default primary channel for most mobile game genres.
The effective Meta gaming playbook in 2025:
Google UAC/Performance Max for Apps operates across Search, Play Store, YouTube, and Display simultaneously. For gaming UA, the two most important surfaces are:
Google UAC is less transparent than Meta in terms of placement-level reporting, which makes creative iteration slower. The recommended approach is to front-load video creative variants (5+) at campaign launch and evaluate performance via Google’s asset reporting, then pause underperformers at the 2-week mark.
Demand-side platforms serving in-app inventory are an important diversification layer, particularly for titles that have exhausted Meta efficiency or are targeting Android at scale.
Creative is the most controllable variable in mobile game UA. A 2x improvement in IPM from creative work has more impact on CPI than almost any bidding or audience optimisation. This section covers the formats and frameworks that move the needle.
Playable ads — interactive mini-experiences that let users try a simplified version of the game before installing — are consistently the highest-performing format for midcore and casual games. The key metrics are strong: playables typically deliver 2–4x higher IPM than static and 30–50% better D1 retention because users who install after a playable have self-qualified.
Effective playable ads have three structural characteristics:
The first 3 seconds of a video creative determines whether a user stops scrolling or not. In gaming, the highest-performing hooks use specific psychological triggers:
For hypercasual and casual titles on TikTok and Meta Reels, user-generated content outperforms produced creative on a consistent basis. The mechanism is straightforward: UGC looks like organic content in the user’s feed, which reduces ad resistance.
The influencer seeding strategy for gaming UA is distinct from brand campaigns. The goal is raw content volume, not reach. Seeding 20–50 micro-influencers (10K–200K followers in gaming/mobile gaming niches) at low or no cost generates a library of authentic gameplay footage. The best-performing clips are then licensed and run as paid ads. The best UGC ads rarely come from the biggest creators.
Ad hoc creative testing produces ad hoc results. Admiral structures creative testing as a factorial matrix:
Running all combinations simultaneously is impractical. The approach is to fix two variables and rotate the third, establishing a learning baseline before introducing new variables. A minimum of 500–1,000 impressions per creative variant is required before declaring significance; for IPM comparisons, statistical confidence at 90%+ is the threshold for pausing underperformers.
Gaming creatives fatigue faster than most verticals due to the high frequency of impressions against relatively small genre audiences. Fatigue is triggered by:
When these signals appear, the response is creative replacement — not bid increases or audience expansion. Throwing budget at a fatigued creative is one of the most common (and costly) errors in gaming UA management.
Gaming UA measurement requires genre-specific benchmarks. The following table covers the primary metrics and what good looks like by genre, drawing on data from AppsFlyer’s State of Gaming report, Adjust’s Mobile Gaming Benchmarks, and SensorTower’s public market analysis.
| Metric | Hypercasual | Casual Puzzle | Midcore / RPG | Hardcore / Strategy |
|---|---|---|---|---|
| CPI (blended) | $0.20–$0.80 | $1.00–$3.00 | $3.00–$8.00 | $5.00–$15.00+ |
| D1 Retention | 40–50% | 35–45% | 30–40% | 25–35% |
| D7 Retention | 15–25% | 18–25% | 15–22% | 15–20% |
| D30 Retention | 6–10% | 8–12% | 8–14% | 10–16% |
| IPM (strong creative) | 8–20+ | 4–10 | 2–6 | 1–4 |
| ARPU (D30) | $0.05–$0.20 (IAA) | $0.30–$1.00 | $2.00–$8.00 | $5.00–$30.00+ |
| D7 ROAS target | 30–50% | 20–35% | 10–20% | 5–15% |
| D30 ROAS target | 80–110% | 60–90% | 40–70% | 25–55% |
| Typical payback period | 14–30 days | 30–60 days | 60–90 days | 90–180 days |
Benchmark sources: AppsFlyer State of Gaming (2024), Adjust Mobile Gaming Benchmarks (2024), SensorTower Mobile Games Market Report (2024). Figures represent blended global averages and will vary by geo, platform, and live ops cadence.
A top-10 casual puzzle game (undisclosed for commercial reasons) came to Admiral after reaching a CPI ceiling on Meta. Their primary channel had delivered strong early-stage results, but CPI had risen 40% over the preceding quarter as their audience became saturated. Meta efficiency was declining despite creative refresh cycles, and the team had no meaningful presence on TikTok or Apple Search Ads. D30 ROAS was tracking at 1.1x — profitable, but not scalable at their growth targets.
Admiral applied the Performance Loop across three parallel workstreams:
The primary driver of ROAS improvement was not media buying optimisation alone — it was the combination of higher-quality traffic sources (ASA, TikTok payer LAL) with a tighter creative testing cadence that identified the three highest-IPM hooks within 10 days and concentrated spend behind them.
Mobile game user acquisition (UA) is the process of acquiring new players for a mobile game through paid advertising channels — including Meta, TikTok, Apple Search Ads, Google UAC, and in-app DSPs — and optimising the economics of those players over time. Effective gaming UA is not just about driving installs; it’s about acquiring users at a cost that is recovered by their lifetime value (LTV). The discipline spans creative strategy, media buying, attribution, audience modeling, and ROAS forecasting, and it differs significantly by game genre due to wide variation in CPI, retention rates, and monetisation models.
CPI varies substantially by genre, channel, and target market. As a general framework: hypercasual games typically see CPIs of $0.20–$0.80 on primary channels; casual puzzle games run $1.00–$3.00; midcore and RPG titles typically pay $3.00–$8.00 per install; hardcore strategy games often see $5.00–$15.00+ per install. These figures are blended global averages — US CPIs are typically 3–5x higher than Tier-3 market CPIs. The more important question is not the absolute CPI but the payback period: what matters is whether your CPI is recovered within your users’ retention window.
There is no universal answer — the right channel mix depends on genre, platform (iOS vs. Android), budget scale, and target market. That said: Meta is the most scalable channel at volume for most genres. TikTok is particularly strong for casual and hypercasual titles where creative-driven discovery dominates. Apple Search Ads delivers the highest-intent users on iOS and is consistently underutilised by studios. Google UAC is often the most efficient Android channel via Play Store. DSPs (Moloco, IronSource, Digital Turbine) provide important diversification once primary channels are saturated. Most mature gaming UA programmes run across 3–5 channels simultaneously, with clear budget allocation rules based on ROAS performance by channel.
The primary success metrics in gaming UA are D30 ROAS (return on ad spend at 30 days), CPI (cost per install against genre benchmarks), and D7 retention. IPM (installs per 1,000 impressions) is used as the primary creative performance signal. For midcore and strategy titles, D90 ROAS and LTV modelling are essential because payback periods extend beyond 60 days. Attribution requires a properly configured MMP (AppsFlyer or Adjust) with SKAdNetwork mapping for iOS. Success is ultimately measured as: do cohorts acquired through paid UA reach positive ROAS within the payback period target, and at what scale?
A well-structured UA programme requires approximately 4–6 weeks to move from initial setup to data-informed scaling decisions. Week 1–2 covers infrastructure setup (attribution, creative tagging, initial campaign structure), and the first live data is generated. Weeks 3–4 produce the first cohort signals — D7 retention, early payer data, creative IPM rankings. By week 5–6, with at least 1,000–2,000 installs per channel and cohorts aging to D7+, the data is sufficient to inform budget scaling, creative prioritisation, and channel allocation. Reaching 100,000+ monthly installs typically takes 8–12 weeks from a standing start, assuming the product is ready for scale (D1 retention at or above genre benchmark, store listing optimised).
Admiral works with mobile game studios at all stages — from first paid UA campaigns to scaling to millions of installs per month. Our team has hands-on expertise in casual, midcore, and strategy gaming UA across Meta, TikTok, Apple Search Ads, Google, and leading DSPs.
Get a free Gaming UA Audit: we’ll review your current channel mix, creative performance, attribution setup, and ROAS trajectory, and deliver a prioritised action plan within 5 business days.
