Reports & guides
The state of app marketing Australia & New Zealand 2023
AppsFlyer teamed up with Adobe to give you exclusive, actionable insights to prep for a competitive 2023 and beyond.
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216 results for "Mobile fraud"
Glossary
In-app purchase (IAP)
What is an In-app purchase, and how can you leverage it to increase revenue? Learn everything you need to know in our mobile marketing glossary.
Reports & guides
In-app advertising done right – the complete guide
In this guide, we will explore how IAA works, its different pricing models, creative formats, and some best practices to help you make the most of it.
Reports & guides
Media buying on autopilot: the ultimate guide to programmatic advertising
This programmatic advertising comprehensive guide will provide you the insights into the programmatic strategy of your digital marketing toolkit.
Blog
Attribution in iOS 14+: From silos to a single source of truth
Following iOS 14, how can you merge all of these siloed data sources into a single source of truth? We’re happy to say that we’ve got a solution.
Customer stories
Improving install efficiency while cutting campaign costs by migrating to AppsFlyer
Find out how ALTBalaji improved its installs efficiency while cutting app campaign costs by 6% following AppsFlyer migration.
Blog
Marketing and product analytics: Why use a flashlight when you can turn on the lights?
When marketing and product teams see the full picture, they can make the right choices. Here are 5 tips on how to get it right.
Glossary
SKAdNetwork (SKAN)
What's SKAdNetwork, what challenges does it present for advertisers, and how should they prepare for it? Find out in our mobile marketing glossary.
Customer stories
Boosting return on app spend by 10% with AppsFlyer and Affle
Find out how Gradeup teamed up with Affle and AppsFlyer to optimize its UA campaigns, increase in-app engagement and ultimately boost ROAS.
Blog
5 ways to increase ATT opt-in rates
Discover new ways to increase your ATT opt-in rates, and reap the rewards of greater quantities of user-level data and attribution.
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