Data and Analytics

The 4 Pillars of Customer Retention

In our experience powering over 8,000 mobile app customers, we’ve noticed that the brands who have been consistent in retaining

Written by: Shivkumar M
Published on: 29 Aug, 2019
Data and Analytics

What Is Cost-Per-Thousand (CPM) Impressions?

Acronyms spring eternal.  Did you know that “scuba” and “laser” are both acronyms? They stand for “self-contained underwater breathing apparatus”

Written by: Subharun Mukherjee
Published on: 20 Aug, 2019
Data and Analytics

9 Actionable Customer Experience Metrics to Boost User Retention

It’s no secret the success of an app is heavily dependent on the user experience.  Everything from app store ranking,

Written by: Subharun Mukherjee
Published on: 06 Aug, 2019
Data and Analytics

DSP vs DMP: The Data, Differences, & Demand for a Hybrid Data Platform

It’s a small world (after all) — thanks to big data.  Businesses have become more reliant on the data they

Written by: Subharun Mukherjee
Published on: 30 Jul, 2019
Data and Analytics

Optimize Your App with A/B Testing

How do you know which is the better call-to-action button? Or which sign-up form is more effective? In such a

Written by: Shivkumar M
Published on: 16 Jul, 2019
Data and Analytics

ARPU: How to Calculate Average Revenue Per User

The secret to acquiring and retaining users is simple: understand their value.  Knowing the value of your users helps you

Written by: Subharun Mukherjee
Published on: 09 Jul, 2019
Data and Analytics

The Not-So-Secret Sauce Revealed

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

Written by: Jacob Joseph
Published on: 26 Apr, 2019
Data and Analytics

How Angel Broking Unified Data Silos and Created Seamless Customer Journeys

When we think of trading and brokers, our minds tend to conjure up images of a chaotic trading floor filled

Written by: Shivkumar M
Published on: 24 Apr, 2019
Data and Analytics

Under the Hood: The Algorithm That Powers Our Recommendation Engine

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

Written by: Jacob Joseph
Published on: 15 Apr, 2019
Data and Analytics

A Gentle Introduction to Neural Networks

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

Written by: Jacob Joseph
Published on: 08 Apr, 2019
Data and Analytics

Bringing a Paradigm Shift to Customer Lifecycle Management with RFM

As growth marketers, one of our main responsibilities is to drive growth across the entire customer lifecycle. We design strategies

Written by: Sunil Thomas
Published on: 20 Mar, 2019
Data and Analytics

Real Impact: Connect the Dots Between Marketing Actions and Business Metrics

Has it ever happened that, as you reported on campaign stats like impressions, click-through rates, or conversions, you were mercilessly

Written by: Subharun Mukherjee
Published on: 14 Mar, 2019

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