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Brief
AppLovin AppDiscovery

AppLovin AppDiscovery

Mobile User Acquisitionapplovin.com

AppDiscovery uses proprietary AXON AI to deliver industry-leading ROAS for mobile app advertisers by leveraging first-party data from AppLovin's massive publisher network to find and convert high-value users at scale.

Last updated May 11, 2026 by the ATDb Editorial Team

Founded
2012
HQ
Palo Alto, California, United States
Parent
Connections
8

At a glance

Employees
1001-5000
Funding
AppLovin raised ~$400M+ prior to IPO (2021)
Revenue
AppLovin total revenue ~$4.7B (2024); AppDiscovery/Software segment ~$3.3B+ (2024)
Stock
APP
7integrations1corporate family

About

Leading AI-driven mobile user acquisition platform, competing directly with Google UAC and Meta for mobile app install budgets, with particular dominance in mobile gaming

AppDiscovery is AppLovin's flagship demand-side platform (DSP) and user acquisition engine, leveraging the company's proprietary AXON AI technology to match advertiser demand with publisher supply through real-time auctions. It enables mobile app marketers to run performance-driven campaigns across AppLovin's vast network of publishers, optimizing for installs, in-app events, and return on ad spend (ROAS). The platform processes billions of bid requests daily, using predictive modeling to identify users most likely to engage and monetize within advertised apps.

Business model

Performance-based advertising marketplace (DSP/SSP hybrid with revenue share)

Target market

Mobile app developers and performance marketers, primarily in gaming and entertainment

What they offer

  • AppDiscovery DSP

    Core demand-side platform enabling mobile app advertisers to run automated, AI-optimized user acquisition campaigns across AppLovin's publisher network

  • AXON AI Engine

    Proprietary machine learning system that predicts user lifetime value and optimizes bids in real time to maximize advertiser ROAS

  • ROAS Optimization

    Campaign optimization mode that targets users predicted to generate specific revenue returns, moving beyond simple CPI bidding

  • Creative Tools

    AI-assisted creative analysis and recommendations to help advertisers identify top-performing ad creatives

  • Campaign Analytics Dashboard

    Real-time reporting and attribution insights for advertisers to monitor campaign performance and optimize spend

  • Cross-Channel Expansion

    Emerging capability to extend AppDiscovery campaigns beyond mobile gaming into e-commerce and web-based performance advertising

Key features

AXON 2.0 AI-powered predictive biddingReal-time auction participation across AppLovin publisher networkROAS and LTV-based campaign optimizationFirst-party data signals from MAX mediation networkAutomated creative performance analysisGranular audience segmentation and targetingReal-time campaign reporting and analyticsSDK-level integration for precise in-app event trackingSupport for multiple ad formats: interstitial, rewarded video, banner, native

Use cases

Mobile game user acquisition at scaleApp install campaigns optimized for in-app purchasesRe-engagement campaigns for lapsed usersROAS-optimized campaigns for subscription appsPerformance marketing for e-commerce appsScaling hyper-casual and hybrid-casual game audiencesAcquiring high-LTV users for fintech and utility apps

Customer segments

Mobile game developers (casual, mid-core, hardcore)Subscription app publishersE-commerce app marketersEntertainment and streaming appsFintech and utility app developersLarge mobile-first brands and performance marketers

Tech & specs

Technology stack

Proprietary AXON machine learning / deep learning modelsReal-time bidding (RTB) infrastructureAppLovin SDK (mobile measurement and event tracking)Big data processing pipelines (petabyte-scale auction data)Cloud infrastructure (AWS and proprietary data centers)Predictive LTV modelingProbabilistic and deterministic attribution

Security & compliance

GDPRCCPACOPPAIAB TCF 2.0SKAdNetwork (iOS privacy framework)App-ads.txt / ads.txt compliance

Deployment

Cloud

API

Yes

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