All you need to know about app analytics and user engagement is right here. Read on to learn from the experts.

The Not-So-Secret Sauce Powering Our Recommender System
Data Science
April 26, 2019

Over 2 million apps are available on the Google Play Store and App Store. The average number of apps used

Under the Hood: The Algorithm That Powers Our Recommendation Engine
Data Science
April 15, 2019

This post in intended to help readers to understand the algorithm behind our recommendation engine. We use Collaborative Filtering (CF)

A Gentle Introduction to Neural Networks
Data Science
April 8, 2019

Neural networks, as the name suggests, involves a relationship between the nervous system and networks. It’s a relationship loosely modeled

Leading vs Lagging Indicators: Using the Right KPIs for App Marketing
Data Science
August 30, 2018

To track your performance, use KPIs. But remember there are both leading & lagging indicators. Learn them and why they’re crucial to analytics.

RFM analysis for Customer Segmentation
Data Science
March 1, 2018

RFM analysis segments customers on recency, frequency, and monetary value can indicate customer engagement, retention, and customer lifetime value.

Sunburst Chart vs. Sankey: Which is better to Depict User Journeys?
Data Science
January 25, 2018

How should you visualize the user journey as they flow through your app? We compared the popular sunburst and sankey charts to plot example data and visualize user data.

Visualizing and Comparing Trends with Vastly Varying Scale
Data Science
October 12, 2017

It is a well known fact that visualizing time series information is always better than viewing the same information in

Funnel Analysis: How Funnel Analytics Can Increase Conversions
Data Science
October 5, 2017

“Where in the onboarding process are we losing the most users?” “Which channels are our power users coming from?” “Where

Churn Rate: How to Define and Calculate Customer Churn
Data Science
September 12, 2017

Churn rate is a tough realization for any business. Ready for some sobering stats? The average mobile app loses 77%

Cohort Analysis: The Key to Improving User Retention for Your App
Data Science
September 7, 2017

Experienced mobile marketers know: real success isn’t about getting someone to download your app. It’s about convincing them to come


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