Using customer insights to deliver personalized shopping experiences, product recommendations, and targeted marketing campaigns.
Triggering a near real-time survey if a customer returns an item from their order that creates a case within the service dashboard to rectify the issue, offering a new product at a discounted rate (or no shipping), or a deep discount code for their next purchase to incentivize them to buy again.
Calculating the customer lifetime value (CLTV) of a customer and ranking them into high, medium, or low value to message them according to their spending potential.
Building a propensity model using past purchase history paired with current site or app engagement data to determine the next best product and serve messaging to the user.
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