Most app marketers have a daily ritual. They open their marketing analytic tools, their MMP, check their ad networks, and pull up their dashboard. After that, they’ll copy and paste a few numbers into a spreadsheet and try to work out what changed overnight. With a daily grind like that, it’s no surprise that AI...
Mobile app marketing teams make decisions across attribution, campaign spend, subscription revenue, ad revenue, and app health, often in separate tools. That makes even a simple performance question slower to answer than it should be. An MCP server connects approved marketing data and tools to an AI application through the Model Context Protocol (MCP), an...
User acquisition (UA) is not just about purchasing installs from a network. It involves finding patterns amongst different audiences and matching them to a product feature, a promise, encouraging engagement, return visits, and any sort of user behavior that can create value over time. As the nominal amount of apps rise in app stores, the...
Adding ads to a subscription app, or subscriptions to an ad-supported one, seems like it could be an easy route to more revenue. In reality, a second revenue stream only pays off when it creates new value, rather than quietly shifting revenue from one model to another. The real challenge is increasing profitability without sacrificing...
App Market Research in 2026: How to Choose the Best Country & Category It’s rare when the biggest market is the best fit. Reliable market research should point your team in a direction where it can gain traction: where your app can solve a clear problem for an audience that is reachable, serviceable, and can...
AI has made it possible to produce more ad creatives than most user acquisition teams could make a few years ago. One concept can be generated into multiple hooks, formats, voiceovers, localized versions, and AI-assisted variations within a day and overall, there’s a growing trend of increasing creative testing, ads, and harder decisions. But as...
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