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Six Advantages of Being Data-Driven
Here are the advantages of being data-driven and using analytics to reaching your goals.
Published
16.06.2014
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devtodev

Today we wanted to tell you about the advantages of being data-driven, as at the most of the conferences we hear one and the same question:

"- Yep, I know that big data is cool and so on, but so what? Why should I use these tools? How do they help me reaching my main goal – create a successful mobile product?"

Well, we will try to resolve your doubts in just a few statements. Here we are with the six convincing reasons for collecting and using your data:

1) Measure user acquisition costs and ad channels efficiency

Cheap traffic (even CPI) does not necessary mean low user acquisition costs. The best way to measure quality of traffic is to calculate how many loyal users did it bring and what was the end price per loyal user from each advertising channel.

Our acquisition analysis tool allows you to integrate your MAT or AppsFlyer account with our system and track further actions of acquired users for each channel.

2) Calculate LTV (lifetime value) of your users

LTV is one of the most meaningful metrics for any b2c product (not only mobile app), and that is why:

If you know how much money user spends in your product, how much his acquisition and supply costs for you, you will be able to calculate how many users you need to acquire, how much money you can spend per install, understand the length of the the payback period, etc.

4) Evaluate users engagement

Use behavior tracking to find out how much time your users spend within an app, what features they use a lot and what features are worthless.

Behavior tracking can also helps to detect technical issues before users inform you via one-star ratings and negative reviews in app stores.

5) Handle retention rates

Send push-notifications to certain user groups based on their actions. This tool allows you to offer your audience exactly what they need and exactly when they need it. 

You can set user groups based on users behavior data: frequency of usage, paying/non-paying, commonly bought items and more.

6) Improve conversion cycles

Use conversion funnels to track efficiency of your user behavior scripts. Find out where you loose users and fix it.

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