Explore our collection of original content on mobile marketing trends covering industry trends, expert insights, and practical tips
A Guide To ComfyUI Workflows, Open-source AI Tools, and Benefits to the Creative Pipeline There’s a quiet revolution happening in mobile game studios, and it’s starting in China. Teams there are scaling user acquisition (UA) 10x without additional headcount by leveraging open-source AI tools. These quick to scale teams are testing hundreds of ad creatives...
Understanding AI ad creatives and AI UGC with Jakub from Two & a Half Gamers In this episode of Tenjin ROI 101, Marketing Director Roman interviews Jakub from Two & a Half Gamers to discuss seismic shifts in mobile game advertising. Jakub brings a wealth of experience in user acquisition and making ad creatives.Together, they...
Mobile gaming has evolved from a casual pastime into a multi-billion dollar industry, but many developers still struggle with a fundamental question: how do mobile games make money? The answer lies in understanding two critical monetization models: in app advertising and in app purchases, or IAA and IAP, and being able to leverage them effectively. ...
Ad revenue within the mobile game monetization industry has hit over $100 billion and is growing 2x faster than in-app purchases. Despite this shift, many developers still build monetization strategies around IAP alone, leaving a lot of money on the table. “If we look at the data, the gaming market: when you add IAP and...
LTV Prediction or Predicted Lifetime Value (pLTV) is a metric that forecasts how much revenue a user will generate throughout their entire lifetime, or relationship, with your app. Unlike traditional LTV, which relies on historical data that can take 30-90 days to fully materialize, LTV prediction (pLTV) delivers actionable forecasts within hours. Our pLTV combines...
Did you know that most predicted LTV (pLTV) models weren’t built for hybrid monetization apps? When you’re monetizing through both in-app purchases (IAP) and in-app purchases, user behavior gets complex fast. Standard LTV models can’t handle it, and most pLTV metrics can’t either. savings, and deep insights. “There’s a lack of tools out there supporting...
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