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I assume that you are familiar with Saas and related customer retention formulae. Before going to retention strategies let’s agree why customer retention matters.  Research says - cost of acquiring a new enterprise customer is between 4x to 6x of keeping an existing customer.  More the number of customers, higher the probability that you can learn from them and innovate for the greater good of Market/ problem space.   High customer retention = more revenue and more potential

This is an advanced topic for all Saas lovers who wish to measure Saas quality.  Straight to 9 ways.  1 - Contract length - It is obvious that higher the contract length the longer the customer will be with us and use our product. Any contract length above 3 years is considered to be good for enterprise deals and minimum 2 years for small and mid-markets. Higher the contract lengths better the Customer and Buyer trust which means better revenue quality.  Ex - Try Buying a mar

Let’s discuss how to measure churn and benefit from it. Churn in simple words means loss of revenue, customers or users. All three are directly correlated in a straight line. Our current context is very much towards Saas revenue and customer churn. In a previous post I have also mentioned the 20 things to know about churn. Those 20 things cover Saas customer acquisition, retention, aspects of customer loyalty and finance.  Now let's continue that conversation with how to meas

I assume you know Saas, GTM, PLG, enterprise, mid-market, small market, cloud, on-prem, china internet, World internet, services and so on which means you are a Saas professional and not a noob who has just started. Being noob is good, I am an expert noob because every five years I become noob as it excites me.  Here are 15 important things about churn …  1 - Logos leak - churn means some of the logos may exit. Even updating the website by removing the churned customers is c

Here are my thoughts on what will happen with AI in 2030. In the first part I mentioned what I think will happen in 2030 in Agriculture, Education and Healthcare. Let me continue with three additional sectors. I understand that I may not be able to cover all segments because I am not aware of those. The six sectors I selected are based on the knowledge I have, read about it or have worked in it.  Please bear with my choices of industries … 🙏 Manufacturing -   Manufacturing a

Here are my thoughts on what will happen with AI in 2030. I would love to be incorrect and it is ok to be incorrect I guess. I am expecting to be incorrect because the actual progress will be a lot more than I am assuming here; so all good. These are based on my understanding in December 2025.  What do I think about what I am seeing now?  The way Ai and gpt apps are answering questions, the users/ consumers are getting smarter and way more educated. Example - I want to learn