Looking across titles, body content, and pattern names.
Enter a query to search recipes by title, body content, and pattern tags. Or browse by facet.
Pick an attribution model, lock it, document why, and reconcile its outputs against incrementality, so the channel report becomes one rule the team can defend rather than a debate per meeting
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
Lower acquisition cost by feeding the bidding algorithms better conversions, deduplicated, consent-valid, and weighted by value, rather than just more of them
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
Target CTV from your own customer segments and measure the reach you actually added above linear, rather than buying impressions on faith
Connect the same person across phone, laptop, and tablet using signals you can stand behind, with an honest fallback when you cannot
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
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
Push the segments you own to the ad platforms, as seeds and as targeting, instead of renting the platforms' own decaying interest signals
Emit a server-set first-party identifier the brand controls, so the customer can be recognized after Safari ITP, third-party cookie deprecation, and the next round of browser changes still to come
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
Detect and retire the identity links that have gone stale, so targeting and suppression stay accurate as the customer file ages
Reconcile a person's anonymous and authenticated states when their consent decisions differ between them, without leaking the un-consented context into the consented one
Turn search queries, chat, support tickets, and reviews into structured intent signals, without mistaking sentiment for intent
Carry the deletion request from the source system to every downstream destination holding the customer's data, including active campaigns, queued sends, and cleanroom audiences
A single consent record per user, mechanically propagated to every downstream system that activates against it