Anticipate User Drop-Off With a Mobile App Cohort Analysis

Event Details

Anticipate User Drop-Off With a Mobile App Cohort Analysis

Time: April 20, 2019 at 6pm to April 21, 2019 at 7am
Location: India
Street: Laxmi Nagar
City/Town: Delhi
Website or Map:
Event Type: marriage
Organized By: Jason Beckham
Latest Activity: Apr 10

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Event Description

A significant aspect of mobile app development is the strategy you put in place to drive awareness and acquisition. But more importantly, you need to identify the specific features of your product that keep active users coming back and form a retention strategy backed by those insights. Mobile application development in Austin While user acquisition may seem like a primary metric for gauging mobile app success, it doesn’t matter how many users download your app if they don’t stick around.


So, how do you find out precisely what makes users stay and what makes them leave? 


While there are many tactics to improve user retention like optimized user onboarding and personalized marketing campaigns, successful user retention begins with a deep dive into data. This article explains how to track and interpret user actions to understand how people engage with your product after acquisition.



What is Mobile Analytics?

Mobile analytics is the practice of gathering and interpreting user behavior data from your app. From that data, you can verify user intent and make decisions to boost retention and maximize your app’s lifetime value. Keep in mind; mobile analytics techniques should be data-driven and straightforward.


Learn More: How to use data-driven reporting to answer critical questions about your users’ app journey


The key to a successful mobile app is your ability to convey the core value as quickly as possible; however, that can’t-live-without value proposition is built with careful analysis and iteration. To provide your users with a product they can’t live without, you can’t focus on vanity metrics like download numbers or daily active users (DAUs) and monthly active users (MAUs), for that matter, instead you should take a closer look at your product using a mobile app cohort analysis.

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