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What is ad optimization?
Ad optimization is the process of developing relevant ads for the users who see them, then fine-tuning them to increase ad revenue.
Popular ad optimization methods
A/B testing: A/B testing is a technique app developers use to compare the efficacy of two or more versions of a feature by grouping your audience. The Control group sees the first or original version, and the Test group sees the modified version. Both variables are compared to determine the one that performs better.
Targeting: Targeting means to present users with highly-relevant ads by collecting and analyzing user data such as their interests, behavior, geolocations, etc.
A/B testing, also known as split testing, is a method used to compare two versions of a webpage or app to discern the one that performs optimally. By presenting variants A and B to different audience segments, marketers can analyze the results, paving the way for data-driven decisions, content refinement, and the optimization of digital assets.
Advertising revenue is the earnings that digital domains like apps or websites make from in-app advertising or showing paid adverts to their audience.
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