---
title: "Actionable Cohort Analysis - Talk from Opticon 2015"
description: "Most companies aren’t going deep enough with their user data."
canonical: "https://amplitude.com/en-us/blog/actionable-cohort-analysis-from-opticon-2015"
---

# Actionable Cohort Analysis - Talk from Opticon 2015

Most companies aren’t going deep enough with their user data.

Source: https://amplitude.com/en-us/blog/actionable-cohort-analysis-from-opticon-2015

---

[Data Monster](/blog/author/datamonster)

[Mascot, Amplitude](/blog/author/datamonster)

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Most companies aren’t going deep enough with their user data.

[Conversion rates, retention, and segmenting](https://amplitude.com/mobile-analytics) by installing cohort help you identify where your users are getting stuck or leaving, but aren’t very helpful in telling you what you should do instead.

In this session from [Opticon 2015](https://www.optimizely.com/opticon/), our Cofounder & CEO Spenser Skates discusses how you can use [behavior-based cohorting](https://amplitude.com/blog/2014/12/05/behavioral-cohorts-find-your-most-engaged-users) to maximize user engagement and retention. By grouping your users based on what actions they take, you’ll discover how you can improve your product to drive growth.

As with Facebook’s famous ‘7 friends in 10 days’, you can use behavioral cohort analysis to find the [‘a-ha’ moment](https://amplitude.com/blog/2014/07/29/find-the-key-to-your-apps-growth-without-an-army-of-data-scientists) or magic metric to focus your product around. We’ve included the slides from Spenser’s presentation here:

[**Actionable Cohort Analysis: How to use behavior-based cohorting to maximize engagement and retention**](//www.slideshare.net/amplitudemobile/actionable-cohort-analysis) from [**Amplitude Analytics**](https://www.slideshare.net/amplitudemobile)

About the author

Data Monster

Mascot, Amplitude

[More from Data](/blog/author/datamonster)

Data Monster spends most of its time nom nomming data and fulfilling duties as a cultural icon and brand ambassador for Amplitude. Data Monster wants everyone to know that there's a little data monster in all of us.

[More from Data](/blog/author/datamonster)

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