工具对比
For a first monetization stack or a non-game app, AdMob is the easier and safer start: one SDK, Google demand that fills globally, Firebase integration, and beginner-tolerant tooling. For games with meaningful ad revenue, MAX is the stronger operating system: a unified auction with more bidding networks, sharper testing tools, and impression-level revenue data that feeds ROAS-driven user acquisition. The choice is rarely exclusive, since most scaled publishers run MAX or LevelPlay as the mediator with AdMob connected as a high-value bidder inside it.
Google AdMob
Google's advertiser base gives AdMob exceptional global fill and strong eCPMs on broad audiences, particularly outside gaming verticals and in long-tail geographies.
AppLovin MAX
MAX aggregates AppLovin's own demand plus every major bidding network, so total auction pressure on gaming inventory typically exceeds what any single network provides.
Google AdMob
AdMob mediation supports real-time bidding with a growing bidder list and is fully serviceable, but its tooling assumes a simpler operation.
AppLovin MAX
MAX was built as a mediation-first product: more bidding integrations, granular waterfall controls where needed, segment targeting, and A/B testing of stack configurations.
Google AdMob
AdMob reporting covers formats, geos, and apps cleanly, and impression-level ad revenue is available for attribution, with deeper analysis typically routed through Firebase or BigQuery.
AppLovin MAX
MAX exposes impression-level revenue natively and its creative and network reports are tuned for monetization operations, which UA teams consume directly for ROAS loops.
Google AdMob
One SDK, sensible defaults, extensive documentation, and Firebase integration make AdMob the gentlest on-ramp in app monetization.
AppLovin MAX
MAX setup is straightforward for experienced teams but presumes you will connect multiple network accounts and manage an auction, which is overhead a simple app does not need.
Google AdMob
Google enforces placement and invalid-activity policy strictly and at scale; honest mistakes around accidental clicks can suspend accounts, and appeals are slow.
AppLovin MAX
AppLovin enforcement exists but is more commercially pragmatic, and multi-network stacks inherently reduce single-vendor dependency.
Google AdMob
For apps already on Firebase, Google Analytics, and Play services, AdMob slots in with minimal friction and shared reporting.
AppLovin MAX
For games doing performance UA, MAX's data feeds AppLovin's AppDiscovery and other channels, closing the loop between monetization and acquisition.
Yes, and at scale most publishers do. The standard architecture uses MAX or Unity LevelPlay as the mediation layer with Google bidding connected as a demand source, so AdMob competes for every impression without being the operator. Running two mediation SDKs side by side, by contrast, is not supported practice and fragments your auction.
It depends on inventory. Gaming rewarded and interstitial inventory usually clears higher through MAX because more gaming-focused bidders compete. Broad-audience and non-game inventory, especially outside top geographies, often monetizes as well or better through Google demand. The honest answer is to run Google demand inside a MAX auction and let the numbers decide per segment.
The rules are clear but unforgiving: ads placed near tap targets, accidental click patterns, or content violations can trigger limited ad serving or suspension, sometimes from automated systems. Read the placement policies before designing UI, keep ads visually separated from controls, and monitor the policy center weekly. Diversifying demand through mediation also caps the damage any single account action can do.