Too many CSMs are caught with their pants down when customers "suddenly" churn. Because there have been no negative signals suggesting these customers might have been at risk. All-green health scores, more than solid product usage, and no complaints. So why is this still happening? First, I'm sorry, but every i**** can identify churn risks when customers are ⛔️ not using the product ⛔️ giving low ratings ⛔️ becoming unresponsive Life in CSM would be much easier if all churn only happened after receiving obvious signals. But unfortunately, this is not the reality. Churn happens despite positive signals because you are looking at inaccurate metrics. Your customers don't care about any of them and they are not obligated to give accurate CSAT or NPS. They have purchased your product because they want to ✅ increase revenue ✅ lower costs ✅ improve their productivity ✅ etc. and they will churn if they've failed to achieve their desired outcomes. It's really that simple. So if you want to identify churn risks accurately you need to track your customers' results based on what has been agreed upon. If your customers e.g. want to ➡️ lower their annual logistics costs by 30% ➡️ expected savings of 5% within the first 3 months ➡️ but have only achieved 2.5% after 3 months ➡️ they should be considered a high churn risk by default (all under the assumption that these savings were realistic) Stop relying on bs metrics and start measuring what matters. PS: Join 5k+ CS pros and sign up for my weekly newsletter if you like this post --> https://lnkd.in/dtC7MEjP
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4moNot all customers follow the same methodology of churn so adaptation is needed for each and every customer. Though always keep in mind the best practice approaches to ensure you as a CSM tick these off and importantly, listen to your gut and look at the data you have at hand. Having a solid CRM tool to support analytics is key to catch those important 'disconnects' from customer communications.