A/B TESTING
A/B testing for mobile applications is the practice of test different user experiences within mobile apps in order to improve the experience for driving more revenue by improving loyalty. It requires understanding the user behavior towards content consumption (headlines, app descriptions, etc) and purchase behavior (price points, payment gateways, etc)
Learn how to get the most out of A/B testing for App Store Optimization.
Get Featured On Mobile Marketing Reads!
We help companies in the mobile marketing ecosystem to reach a qualified, engaged audience for branding, thought leadership,and lead-generation.
LATEST MOBILE MARKETING NEWS
-
in NewsAustralian court orders Apple to allow third-party app stores and alternative payments on iPhone
Apple has been ordered to allow third-party app stores, direct app downloads and alternative payment systems on iPhones in Australia following a Federal Court ruling in its long-running competition dispute with Epic Games. The decision requires Apple to remove restrictions that prevent developers from distributing iOS apps outside the App Store and using competing payment […] More
-
Netflix expands ad measurement and programmatic targeting as revenue forecast falls to $2.7 billion
Netflix has announced new advertising measurement and audience targeting capabilities for its in-house advertising platform, Netflix Ads Suite, as the streaming company lowers its 2026 advertising revenue forecast amid slower-than-expected product rollouts. The updates include a new Netflix Pixel, enhancements to its Conversion API (CAPI), expanded programmatic targeting through The Trade Desk and additional campaign […] More
-
in News, Trends & ReportsMore than 2,100 AI-slop websites found monetizing content through programmatic ads
A new investigation by advertising supply chain intelligence company DecryptAds has identified 2,116 AI-generated recipe websites operating within the programmatic advertising ecosystem, raising concerns about advertising transparency, publisher verification and the growing volume of low-quality inventory available to advertisers. The research found networks of websites using fabricated author identities, AI-generated content and extensive advertising placements […] More