Identify potential churn risk and target at-risk customers
Analyze customer data from different systems and identify patterns that may indicate a higher risk of churn. This could include factors such as decreased frequency of purchases, negative feedback or reviews, or a lack of engagement with loyalty programs. With this information, we automatically target at-risk customers with personalized offers or incentives to try and […]
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