{"id":1761,"date":"2026-07-16T09:00:00","date_gmt":"2026-07-16T14:00:00","guid":{"rendered":"https:\/\/tolinku.com\/blog\/?p=1761"},"modified":"2026-03-07T03:50:08","modified_gmt":"2026-03-07T08:50:08","slug":"attribution-for-gaming-apps","status":"publish","type":"post","link":"https:\/\/tolinku.com\/blog\/attribution-for-gaming-apps\/","title":{"rendered":"Attribution for Mobile Gaming Apps"},"content":{"rendered":"\n

Mobile gaming has the most complex attribution requirements of any app category. Revenue comes from two sources (in-app purchases and ad monetization), user behavior varies wildly between casual and hardcore players, and marketing spend can reach millions per month. Getting attribution right determines whether you scale profitably or burn through budget on low-quality users.<\/p>\n\n\n\n

This guide covers attribution strategies specific to mobile games. For subscription app attribution, see attribution for subscription apps<\/a>. For attribution fraud, see attribution fraud: detection and prevention guide<\/a>.<\/p>\n\n\n\n

Gaming Revenue Models<\/h2>\n\n\n\n

Mobile games monetize differently from other apps, and attribution must account for both revenue streams:<\/p>\n\n\n\n

In-App Purchases (IAP)<\/h3>\n\n\n\n

Direct purchases of virtual goods, currency, battle passes, and premium content:<\/p>\n\n\n\n

\n\n\n\n\n\n\n
Event<\/th>\nExample<\/th>\nAttribution Impact<\/th>\n<\/tr>\n<\/thead>\n
First purchase<\/td>\n$4.99 gem pack<\/td>\nConversion event<\/td>\n<\/tr>\n
Whale purchase<\/td>\n$99.99 mega bundle<\/td>\nHigh-value event<\/td>\n<\/tr>\n
Recurring purchase<\/td>\n$9.99 monthly battle pass<\/td>\nSubscription-like<\/td>\n<\/tr>\n
Impulse purchase<\/td>\n$0.99 extra life<\/td>\nLow-value but frequent<\/td>\n<\/tr>\n<\/tbody><\/table><\/figure>\n\n\n\n

Ad Revenue<\/h3>\n\n\n\n

Revenue from ads shown to players (interstitials, rewarded video, banners):<\/p>\n\n\n\n

\/\/ Track ad revenue per user for attribution\nfunction trackAdRevenue(userId: string, adEvent: AdEvent) {\n  analytics.track('ad_revenue', {\n    userId,\n    adNetwork: adEvent.network,\n    adType: adEvent.type, \/\/ 'rewarded', 'interstitial', 'banner'\n    revenue: adEvent.revenue,\n    currency: 'USD',\n    placement: adEvent.placement\n  });\n}\n<\/code><\/pre>\n\n\n\n
Blended Revenue<\/h3>\n\n\n\n
For ROAS calculations, combine IAP and ad revenue:<\/p>\n\n\n\n
Total User Revenue = IAP Revenue + Ad Revenue\nBlended ROAS = Total User Revenue \/ Ad Spend\n<\/code><\/pre>\n\n\n\n
A user who never makes an in-app purchase but watches 50 rewarded video ads per day can still be profitable.<\/p>\n\n\n\n
Key Attribution Events for Games<\/h2>\n\n\n\n
Install and Early Engagement<\/h3>\n\n\n\n
\n\n\n\n\n\n\n
Event<\/th>\nWhen to Track<\/th>\nWhy It Matters<\/th>\n<\/tr>\n<\/thead>\n
Install<\/td>\nFirst app open<\/td>\nBase attribution event<\/td>\n<\/tr>\n
Tutorial complete<\/td>\nAfter tutorial<\/td>\nEngagement quality signal<\/td>\n<\/tr>\n
Level 5 reached<\/td>\nEarly gameplay<\/td>\nRetention predictor<\/td>\n<\/tr>\n
First session > 10 min<\/td>\nDuring first session<\/td>\nEngaged user signal<\/td>\n<\/tr>\n<\/tbody><\/table><\/figure>\n\n\n\n
Monetization Events<\/h3>\n\n\n\n
\n\n\n\n\n\n\n\n
Event<\/th>\nWhen to Track<\/th>\nWhy It Matters<\/th>\n<\/tr>\n<\/thead>\n
First IAP<\/td>\nAny purchase<\/td>\nConversion to payer<\/td>\n<\/tr>\n
IAP amount tiers<\/td>\n$1-5, $5-20, $20-50, $50+<\/td>\nRevenue quality segmentation<\/td>\n<\/tr>\n
Ad impression<\/td>\nEach ad view<\/td>\nAd revenue tracking<\/td>\n<\/tr>\n
Rewarded video complete<\/td>\nPlayer opts into ad<\/td>\nEngaged ad viewer<\/td>\n<\/tr>\n
Subscription start<\/td>\nBattle pass \/ VIP purchase<\/td>\nRecurring revenue<\/td>\n<\/tr>\n<\/tbody><\/table><\/figure>\n\n\n\n
Retention Events<\/h3>\n\n\n\n
\n\n\n\n\n\n\n
Event<\/th>\nWhen to Track<\/th>\nWhy It Matters<\/th>\n<\/tr>\n<\/thead>\n
Day 1 return<\/td>\n24 hours after install<\/td>\nD1 retention<\/td>\n<\/tr>\n
Day 7 return<\/td>\n7 days after install<\/td>\nD7 retention<\/td>\n<\/tr>\n
Day 30 return<\/td>\n30 days after install<\/td>\nD30 retention<\/td>\n<\/tr>\n
Daily active<\/td>\nEach day the user plays<\/td>\nDAU tracking<\/td>\n<\/tr>\n<\/tbody><\/table><\/figure>\n\n\n\n
ROAS Calculation<\/h2>\n\n\n\n
Time-Windowed ROAS<\/h3>\n\n\n\n
Gaming ROAS is calculated at multiple time windows because revenue accumulates over time:<\/p>\n\n\n\n
\n\n\n\n\n\n\n
Channel<\/th>\nD0 ROAS<\/th>\nD7 ROAS<\/th>\nD30 ROAS<\/th>\nD90 ROAS<\/th>\nD365 ROAS<\/th>\n<\/tr>\n<\/thead>\n
Facebook<\/td>\n5%<\/td>\n25%<\/td>\n55%<\/td>\n85%<\/td>\n120%<\/td>\n<\/tr>\n
Google UAC<\/td>\n8%<\/td>\n30%<\/td>\n60%<\/td>\n90%<\/td>\n130%<\/td>\n<\/tr>\n
TikTok<\/td>\n3%<\/td>\n18%<\/td>\n40%<\/td>\n65%<\/td>\n90%<\/td>\n<\/tr>\n
Unity Ads<\/td>\n10%<\/td>\n35%<\/td>\n65%<\/td>\n95%<\/td>\n140%<\/td>\n<\/tr>\n<\/tbody><\/table><\/figure>\n\n\n\n
A channel is profitable when ROAS exceeds 100%. In this example, Facebook and Google UAC reach profitability between D30 and D90, while TikTok never reaches 100% (unprofitable for this game).<\/p>\n\n\n\n
Predictive ROAS (pROAS)<\/h3>\n\n\n\n
Since it takes months to know actual ROAS, predictive models estimate future revenue based on early behavior:<\/p>\n\n\n\n
def predict_ltv(user_features):\n    """\n    Predict 365-day LTV from early user behavior.\n    Features: D1 retention, D3 sessions, first_purchase_day, tutorial_time\n    """\n    features = [\n        user_features['d1_retained'],       # 0 or 1\n        user_features['d3_sessions'],        # count\n        user_features['first_purchase_day'], # day number or -1\n        user_features['tutorial_time_sec'],  # seconds\n        user_features['d7_levels_completed'],# count\n        user_features['d7_ad_views']         # count\n    ]\n\n    predicted_ltv = model.predict([features])[0]\n    return predicted_ltv\n<\/code><\/pre>\n\n\n\n
With predicted LTV, you can estimate ROAS within the first 7 days instead of waiting 365 days.<\/p>\n\n\n\n
SKAdNetwork for Games<\/h2>\n\n\n\n
Conversion Value Scheme<\/h3>\n\n\n\n
Games need to encode both engagement and revenue signals in SKAdNetwork<\/a> conversion values:<\/p>\n\n\n\n
func updateSKANForGaming(event: GameEvent) {\n    var fineValue: Int\n\n    switch event {\n    case .tutorialComplete:\n        fineValue = 5\n    case .level5Reached:\n        fineValue = 10\n    case .firstIAP(let amount):\n        if amount < 5 { fineValue = 20 }\n        else if amount < 20 { fineValue = 30 }\n        else if amount < 50 { fineValue = 40 }\n        else { fineValue = 50 }\n    case .day3Retained:\n        fineValue = 15\n    case .revenueThreshold(let total):\n        if total < 10 { fineValue = 25 }\n        else if total < 50 { fineValue = 35 }\n        else if total < 100 { fineValue = 45 }\n        else { fineValue = 55 }\n    }\n\n    \/\/ Only update if higher than current value\n    if fineValue > currentSKANValue {\n        SKAdNetwork.updatePostbackConversionValue(fineValue, coarseValue: .high) { _ in }\n        currentSKANValue = fineValue\n    }\n}\n<\/code><\/pre>\n\n\n\n
SKAN Limitations for Games<\/h3>\n\n\n\n