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Sep 27, 2023
Just released! The mobile app growth report: Discover your next UA gold mine
Our latest report ranks markets and app verticals all over the globe, creating a user acquisition leaderboard so you can find your next hot-spot for growth.
Sep 21, 2023
Out now! Mobile app trends spotlight edition: LATAM
Get the latest mobile app benchmarks and trends from Latin America (LATAM) in our brand new ‘spotlight’ format, designed to bring you quick, actionable data and insights.
Aug 08, 2023
Part 3: Navigating November’s e-commerce app usage surge
Learn which countries have the top e-commerce app engagement around Black Friday and Cyber Monday, outperforming even the United States and Global spikes!
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Oct 02, 2023
The Digital Markets Act and Digital Services Act: Impacts on mobile marketing
Set for enforcement in February and March 2024, we explore the impact of the DMA and DSA on the app and mobile marketing industry, and how you can prepare.
Sep 29, 2023
Australia and New Zealand in three charts: Installs, sessions, and retention rates
Australia and New Zealand are great places to test the success of your app. Dive in and gain insights into the top-performing categories, such as gaming, shopping, and more.
Sep 22, 2023
Four ways Adjust defines innovation in mobile measurement
Discover how Adjust has emerged as a guiding force in the current privacy-centric era, elevating your marketing measurement with next-generation solutions.
Sep 19, 2023
Educational apps in focus: Trends and strategies for success in 2023 and beyond
Educational app usage is rising, presenting huge growth opportunities. Get the latest stats and winning strategies for your app marketing plan.
Sep 18, 2023
Why savvy gaming advertisers are embracing cross-device marketing
Is mobile-first advertising dead? No, but cross-device advertising is rapidly expanding even further among savvy app marketers. Read why here.
Sep 14, 2023
Navigating a new era of mobile marketing measurement with incrementality testing
Your 101 guide to incrementality. Learn how to calculate incrementality, how it differs from A/B testing, and which incremental model might be the best fit.
