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Follow up with shoppers who viewed products but never added to cart, filtering out the low-intent browsers so the sequence does not dilute itself
Recover the abandon that happened on the phone and the purchase that continues on the laptop, as one customer rather than two
Surface adjacent products in the rhythm of how the original item is actually used, instead of dumping every cross-sell into one email
Show returning visitors what they had going, last-viewed products, cart contents, loyalty progress, without making them sign in or start over
Measure the lift a channel actually adds by running a holdout, not the correlation between exposure and conversion the channel's own report shows
Get the unified spend, exposure, and conversion data clean enough for the model to produce decisions you can act on, not directional outputs that need a footnote
Surface the items the customer is most likely to want next, with explicit handling of the cold-start visitor, the privacy-restricted slice, and the rule that prevents the recommendations from collapsing to whatever everyone clicks
Reorder category results to the visitor's inferred preferences, with a default sort for unknowns and an honest signal of when sorting is personalized
Time the reorder reminder to the customer's own consumption cadence, not a category-wide average that is wrong for most of them
Recognize the visitor who came back without making them sign in, and degrade cleanly to a generic experience when you cannot
Land visitors arriving on a specific search query on a category page shaped to that query's intent, not a generic category index