Recently many developers shared a common frustration with AppGrowing that by optimizing precise targeting their click-through rates improved, but conversion rates did not rise accordingly. The root cause may not be the creatives themselves, but the long-neglected Custom Product Pages (CPP). How custom product pages affect UA From a UX perspective, the paid-acquisition funnel is “Ad Impression→ App Store Landing Page → Conversion.” When a user clicks an ad, they already form expectations about the product. If the store product page content differs from the ad, users feel a mismatch, may distrust the product, and ultimately abandon the download. In other words, users don’t always leave because the creative is bad; they leave because the experience flow is broken. This […]

In the era of Meta Andromeda, low bids, aggressive scaling, and simple asset swaps no longer work. If your cold-start phase stretches from 2 days to 7, or your ads never exit learning, your creatives are likely below Meta’s new “semantic kill line.” 01 The Semantic Kill Line：Does AI Understand Your Ads? Under Meta Andromeda, creatives are treated like programming languages: if the logic is messy, the system cannot match it to the right audience in vector space. Source：《Meta Andromeda: Supercharging Advantage+ automation with the next-gen personalized ads retrieval engine》 To pass the algorithm's test, your ad needs to cross three simple bars: 1. The 3-Seconds Rule: The algorithm must identify the target audience within the first 3 seconds. 2. […]

In the world of mobile game user acquisition (UA), we are witnessing a fundamental paradigm shift. The era of "human vs. platform" is ending; the era of AI vs. AI has arrived.  The Algorithm Trap: Are We Just Working for the Platforms? For years, game developers have felt the squeeze of "Traffic Red Oceans". But the real pressure isn't just rising costs—it’s the loss of control. Modern automated bidding systems and black-box algorithms now dictate traffic auction and distribution, leaving marketers with dwindling room for manual optimization. Many practitioners now feel they are "working for the platforms," with every dollar of their budget serving as training data for the platform’s machine learning rather than guaranteed ROI.   The Efficiency Paradox: […]