10 recipes where the outcome is personalization, each written out in the same seven boxes. The patterns they compose most often: fallback content strategy, visitor state personalization and inferred attribute generation.
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Swap homepage content by visitor location for store availability, regional pricing, and local campaigns, with a clean default when location is unknown
Show returning visitors what they had going, last-viewed products, cart contents, loyalty progress, without making them sign in or start over
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
Show account-relevant content to known and reverse-IP-identified B2B visitors, with explicit handling of the wrong-match case
Turn search queries, chat, support tickets, and reviews into structured intent signals, without mistaking sentiment for intent
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
Give the AI a memory of each customer that is curated and decaying, not a raw event firehose it cannot use and should not keep
Let a model propose the next action when it can, and serve a known-good rule when it cannot, so the experience never depends on the model being up