10 recipes where the outcome is efficiency, each written out in the same seven boxes. The patterns they compose most often: suppression and exclusion logic, anonymous-to-known stitching and audience freshness management.
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Stop sending the same offer through email, push, and SMS in the same hour, so the customer experiences one message about one thing rather than three timed competitions for their attention
Stop showing ads to people who already bought
Remove customers from segments whose conditions they no longer meet, before the next campaign fires against an audience full of people the segment is wrong about
Stop bidding against yourself for the same person across Meta, Google, TikTok, and the rest, by maintaining a single live audience exclusion the platforms read
Push first-party signals (predicted value, churn flag, recent conversion) to ad platforms as bid modifiers so the platforms stop paying premium for impressions that will not convert
Pick the cheapest channel that achieves the outcome (owned email before owned push before paid social) rather than firing every channel by default, and reserve the expensive channels for the moments they earn
Merge the customer records that drifted apart over time, with the matching rules, the merge decisions, and the rollback path that lets a wrong merge be undone
Cap contact at the person, not per channel, so the customer stops getting hit five times a day by systems that do not talk to each other
Let the system act on its own inside clear bounds, escalate the ambiguous cases, and learn from how the human resolved them
Cross-platform suppression with consent propagation