This episode provides a data-driven analysis of AppLovin, a "third platform" in paid media, revealing its true incremental value for ecommerce brands. Through 8 real-world tests, it debunks speculation and offers concrete evidence of AppLovin's effectiveness compared to Meta and Google, helping ecommerce operators confidently decide on budget allocation for this emerging ad channel.
Key takeaways
AppLovin demonstrates positive incrementality, meaning it drives new business rather than just taking credit for existing demand, as evidenced by 8 real-world tests across various client accounts.
AppLovin’s measurement and attribution models are more conservative than many other platforms, suggesting that its reported performance metrics may offer a more accurate reflection of true incremental value.
Implement specific campaign structures and bidding strategies tailored to AppLovin to optimize performance; the episode discusses when to consolidate campaigns versus segment them for better results.
Prioritize creative formats that perform well within mobile game environments, as these are key to maximizing effectiveness on the AppLovin platform.
AppLovin proved to be a scalable advertising channel during high-demand periods like Black Friday and Cyber Monday, indicating its potential for significant impact during peak shopping seasons.
Is AppLovin actually incremental — or just another platform taking credit for demand that already exists?In this episode, we break down 8 real AppLovin incrementality tests run across live client accounts and share what the data actually shows. No speculation. No theory. Just results.We cover why AppLovin’s measurement is more conservative than most platforms, how its attribution model impacts reported performance, and why every test so far has come back positively incremental. From there, we move beyond the lab and into execution — sharing tactical learnings from running AppLovin at scale across multiple brands.You’ll hear practical insights on:How AppLovin incrementality compares to Meta, Google, and YouTubeWhat we’ve learned from real spend, real revenue, and real testsCampaign structure, bidding strategies, and when to consolidate vs segmentCreative formats that are working best inside mobile game environmentsWhy AppLovin is emerging as a legitimate “third platform” in the paid media stackWhat Black Friday & Cyber Monday revealed about AppLovin’s scaling potentialIf you’re an e-commerce operator trying to decide whether AppLovin deserves real budget — or just a test — this episode will help you make that call with confidence.Show Notes:TaxCloud has you covered: https://taxcloud.com/thread/Explore the PROPHIT System: http://prophitsystem.comThe Ecommerce Playbook mailbag is open — email us at podcast@commonthreadco.com to ask us any questions you might have
What does this episode say about paid acquisition?
AppLovin demonstrates positive incrementality, meaning it drives new business rather than just taking credit for existing demand, as evidenced by 8 real-world tests across various client accounts.
What does this episode say about analytics & attribution?
AppLovin’s measurement and attribution models are more conservative than many other platforms, suggesting that its reported performance metrics may offer a more accurate reflection of true incremental value.
What does this episode say about paid acquisition?
Implement specific campaign structures and bidding strategies tailored to AppLovin to optimize performance; the episode discusses when to consolidate campaigns versus segment them for better results.
What does this episode say about paid acquisition?
Prioritize creative formats that perform well within mobile game environments, as these are key to maximizing effectiveness on the AppLovin platform.
What does this episode say about paid acquisition?
AppLovin proved to be a scalable advertising channel during high-demand periods like Black Friday and Cyber Monday, indicating its potential for significant impact during peak shopping seasons.
