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Let the system act on its own inside clear bounds, escalate the ambiguous cases, and learn from how the human resolved them
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
Target CTV from your own customer segments and measure the reach you actually added above linear, rather than buying impressions on faith
Make the choice a visitor makes in the banner actually constrain what the server-side pipeline does with their data
Measure paid channel contribution honestly when tracking is partial, by separating what you observed from what you modeled
Connect the same person across phone, laptop, and tablet using signals you can stand behind, with an honest fallback when you cannot
Push the segments you own to the ad platforms, as seeds and as targeting, instead of renting the platforms' own decaying interest signals
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
Cross-platform suppression with consent propagation