Comments on: Customer Retention Analysis (calculating retention rate, running cohort analysis, and more…) https://data36.com/customer-retention-analysis-calculate-retention-cohort-analysis/ Learn Data Science the Hard Way! Mon, 28 Apr 2025 16:07:29 +0000 hourly 1 https://wordpress.org/?v=6.7.4 By: Tomi Mester https://data36.com/customer-retention-analysis-calculate-retention-cohort-analysis/#comment-191293 Fri, 18 Dec 2020 14:37:24 +0000 http://46.101.253.204/?p=145#comment-191293 In reply to tingfeng.

The “over-priced designer” package. 😉
But yeah, it’s a custom graphic for my e-book created by a designer — and I borrowed it for this article.
Cheers,
Tomi

]]> By: tingfeng https://data36.com/customer-retention-analysis-calculate-retention-cohort-analysis/#comment-191288 Wed, 16 Dec 2020 17:06:35 +0000 http://46.101.253.204/?p=145#comment-191288 which package is used to draw the last picture?

]]> By: Usability testing - a qualitative research method (for Data Analysts) https://data36.com/customer-retention-analysis-calculate-retention-cohort-analysis/#comment-75298 Tue, 23 Apr 2019 21:14:20 +0000 http://46.101.253.204/?p=145#comment-75298 […] have discovered a direct correlation between user retention and a specific product feature. Great! You see that if new users use this given feature, they will […]

]]> By: The Conversion Rate Optimization Framework I Use at Data36... https://data36.com/customer-retention-analysis-calculate-retention-cohort-analysis/#comment-8820 Sun, 22 Oct 2017 22:30:08 +0000 http://46.101.253.204/?p=145#comment-8820 […] Cohort Analysis […]

]]> By: Website Heatmaps - Tools, Features & Best Practices https://data36.com/customer-retention-analysis-calculate-retention-cohort-analysis/#comment-5651 Tue, 01 Aug 2017 23:32:20 +0000 http://46.101.253.204/?p=145#comment-5651 […] the results of it with the other researches of yours (eg. five second testing, funnel analytics, cohort analysis, etc…) and these efforts all together are serving a purpose, which is usually optimizing your […]

]]> By: The structure of your Data Team. The flow of the Data in your organization. https://data36.com/customer-retention-analysis-calculate-retention-cohort-analysis/#comment-3704 Tue, 02 May 2017 11:37:58 +0000 http://46.101.253.204/?p=145#comment-3704 […] is the step, where your data turns into meaningful information by different research methods (eg. cohort analysis, funnel analysis, segmentation, predictive […]

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