behaviors that lead to churn and develop retention strategies. By analyzing data from CRM, marketing automation, and product usage, CSMs can define their objective of a retained paying customer. This data-driven decision-making helps businesses keep more of their best customers while using their time & resources efficiently.
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Let me show you how CSMs can identify customer behaviors that lead to churn, and use these insights to develop retention strategies.
I'll connect & join my CRM, marketing automation, and product usage data.
Next, I'll define my objective. In this case, a retained customer.
Now keep in mind, the definition of a retained customer would differ from one business to the next.
But for the sake of this example, let's assume our business offers a 90-day free trial, and that most customers that churn, do so in the first 90 days.
With this in mind, I'll define my objective as a paying customer that remains a customer for 90 days or more.
Now let's see what we got.
With these insights, a CSMs can develop a retention strategy, like putting their customers in an email sequence that, every other day, sends them an email with tips & tricks related to their use case, and that revolves around those retention-promoting features we found earlier.
This kind of data-driven, decision-making is what can help you keep more of your best customers, all while using your time & resources more efficiently.
To learn more about Forwrd’s predictive AI technology, go to Forwrd.ai and get started with your 90-free trial!