Glossary
Daily active users (DAU)
What are daily active users, and why are they important for your marketing efforts? Read all about it in the AppsFlyer mobile marketing glossary.
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247 results for "LTV"
Use cases
Bridging the gaps between predictive marketing and SKAN
This blog discusses overcoming the challenges of adapting our original predictive analytics solution to solve SKAN's measurement issues.
Blog
Predictive marketing for mobile advertisers: How to do more with less
In this blog, we'll dive into what predictive marketing is and how you can better leverage data to optimize campaigns in the privacy age.
Blog
Welcome to the metrics – Everything you need to know about app marketing metrics
Get the most vital app metrics that will allow you to measure and improve your acquisition, engagement, retention, conversion, and app performance.
Blog
How lightweight hyper casual games became the heavyweights of mobile gaming
In this blog, we’ll discuss the key characteristics and various game mechanics, as well as global trends, monetization methods, and best practices.
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.
Blog
Mobile marketers and taxi drivers: More similar than you’d think
How can you deliver amazing customer experiences to delight the users, keep them engaged, and ensure that they come back for more?
Blog
Welcome to the new normal: Black Friday 2021 on track to be the biggest ever for mobile apps
Despite the challenges marketers are facing with, the stage has been set for another record-breaking Black Friday, as we’ll demonstrate in this blog.
Reports & guides
App engagement and user retention: The definitive guide
Learn the rules of engagement, how to create a seamless onboarding experience, and how to monetize and boost re-engagement with this guide.
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.
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