Article · 10 min read

SaaS churn analysis: Configure your company for customer retention

Adhya · Zoho Blog Free Beginner India

Zoho on the two churn predictors that actually work early (usage depth and NPS) plus a worked cohort example. Written for teams without a data function.

  • Build cohorts by signup month: of 77 customers who joined in Feb 2018, 70 were still paying three months on (90.9 percent).
  • Monthly churn percent = customers lost in the month divided by total customers in the previous month, times 100.
  • Suggests starting customer education with a few hours of free webinars a week, then moving to workshops and office hours.

It answers 3 questions

  1. What does a good customer onboarding actually look like?
  2. How do I build a customer health score that actually predicts churn?
  3. How do I work out why customers are actually churning instead of guessing?

Read with it

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  2. The ten strategies are sequenced the way you would actually run a churn programme: instrument, classify reasons, segment by... Chargebee Article · 14 min read Best Proven Strategies To Reduce Customer Churn Nupura Ughade and Arijit Bose
  3. From an Indian company whose entire product is onboarding, so the twelve practices are specific and the worked examples... Whatfix Article · 20 min read SaaS Customer Onboarding: Best Practices, Examples, Tools Levi Olmstead
  4. Chargebee's customer success leader answering an Indian founder's question in the SaaSBoomi community. Eight points, starting... SaaSBoomi Article · 8 min read Best Practices for Setting Customer Success in your SaaS start-up Sri Maneru
  5. The most complete breakdown of what goes into a health score: which four to six categories to weight, how to segment scores by... Gainsight Article · 12 min read Customer Health Score Explained: Metrics, Models and Tools Gainsight
  6. Separates time to activation (finished setup) from time to value (solved the problem), which is the distinction that explains... Amplitude Article · 10 min read Time to Value: The Key to Driving User Retention Michele Morales
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