Free Ad-Supported Mobile App Monetization Stack
Toolchain for ad-monetised mobile apps: mediation, waterfall configuration, user-level ROAS measurement, consent management, and in-app event analytics.
The Stack
AppLovin MAX
— Primary ad mediation platformIndustry-leading in-app bidding mediator with first-party demand from AppLovin's own DSP plus integrations for all major networks; consistently delivers top eCPMs for casual games and utility apps.
Alternatives: ironsource, chartboost, appodeal
Google AdMob
— Ad network & mediation (Google demand)Google's programmatic demand is essential in any mediation stack — AdMob's SDK doubles as the primary Google bidder inside AppLovin MAX and provides a standalone mediation fallback.
Alternatives: google-admob
Meta Audience Network
— Social ad demand (Meta)Meta's Audience Network provides high-quality advertiser demand from Facebook and Instagram campaigns, particularly strong for demographic targeting and rewarded video formats.
Alternatives: ironsource, unity-ads, chartboost
IronSource
— Secondary ad network & rewarded video demand optionalironSource (now part of Unity) is the strongest rewarded video network for gaming and utility apps; plugging it into MAX mediation adds high-eCPM gaming advertiser demand.
Alternatives: unity-ads, chartboost, inmobi
Digital Turbine
— OEM & carrier demand network optionalDigital Turbine's Ignite platform has exclusive access to pre-install and carrier billing demand that no other network can bid, providing unique supply that lifts overall eCPM floor.
Alternatives: moloco, liftoff, mintegral
InMobi
— Emerging market ad demand optionalInMobi's demand is disproportionately strong in India, Southeast Asia, and Africa — if your app has significant emerging market DAU, InMobi in the mediation waterfall materially increases fill rate.
Alternatives: mintegral, moloco, tapjoy
AppsFlyer
— MMP with ad revenue attributionAppsFlyer's Ad Revenue Attribution links every ad impression to the install source via impression-level revenue data APIs from MAX, enabling true LTV and ROAS calculation per campaign.
Alternatives: adjust, singular, kochava
Amplitude
— Product analytics & ad engagement funnelsTracks which in-app flows drive ad impressions (session depth, feature usage before ad exposure) and measures DAU/MAU retention — the primary driver of total ad revenue.
Alternatives: mixpanel, posthog, firebase
OneSignal
— Push re-engagementDaily active users are the single biggest lever for total ad revenue. OneSignal's automated re-engagement campaigns (lapsed user nudges, daily streak notifications) directly lift DAU and thus ad revenue.
Alternatives: braze, airship, moengage
Sentry
— SDK crash monitoringMediation SDKs are notorious for introducing ANRs and native crashes — Sentry catches ad SDK-originated crashes with full stack traces so you can identify and disable misbehaving network adapters.
Alternatives: bugsnag, firebase-crashlytics, datadog
Gotchas
- ⚠️ iOS 14.5+ requires ATT consent before any IDFA-based ad personalisation. Non-personalised ads serve at 40–70% lower eCPM than personalised ones. The timing and framing of your ATT prompt is the single most important factor for ad revenue on iOS — showing it after a clear value exchange (e.g. 'To keep the app free, allow personalised ads') routinely achieves 50%+ opt-in rates vs. 15–20% for a bare system prompt.
- ⚠️ AppLovin MAX's In-App Bidding requires each network's adapter SDK to be included in your binary. Seven network adapters can add 5–15MB to your app size and materially increase build times. More critically, each adapter SDK makes separate ATT disclosures which must all be included in your iOS privacy manifest and app privacy nutrition label on App Store Connect. A missing adapter declaration causes App Store rejection.
- ⚠️ Ad revenue from impression-level data (ILR APIs) has a 24–72 hour reporting delay across all networks. If you build dashboards that compare UA spend (real-time) against ad revenue (delayed), you will consistently see negative ROAS for recent cohorts, causing premature campaign pausing. Build a data pipeline that holds revenue attribution open for 72 hours before calculating final ROAS for any cohort day.
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