Use Predictive Analytics to Preempt Churn

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How do you improve your customer support and enable them to help reduce churn?

Invest in hiring great folks for the team: Your customer service team should be all-stars in caring about what’s going on with customers.
Give them in-depth product training: Your customer support team should know your product inside and out, include common workflows inside the product, top integrations, and more. They should be able to answer questions quickly, with actionable advice your customers can work with immediately.
Enable them to monitor product usage and customer interactions: With the right insights, your customer service team can spot early signs of churn—lower engagement, fewer logins, lower usage metrics, or lack of responsiveness. Then, they can proactively reach out before things go south.
And heck, even if your customer has already dropped off, great customer support can sometimes change their mind.

Example:

Social media marketing app Hookle has a five-star kenya telegram data customer service team, as shown by this experience:

How-to-Reduce-Customer-Churn-Rate-Be-Proactive
Source: Google Play

7. Predictive analytics is your low-key ally in this battle. Use health scoring—it's like checking the vitals of your customer accounts, minus the white coats.

For example, use key indicators of value in your product and measure those value indicators per customer account. With these health scores, you can spot which accounts are doing well and which are at risk of churning.