AI Ad Targeting
Targeting built on your first-party data and contextual signals, so campaign performance survives the death of the third-party cookie.
The targeting playbook that ad businesses ran for a decade is being dismantled by privacy regulation and cookie deprecation, and the publishers who thrive next are the ones who make their own data perform. We build AI ad targeting optimization for media owners and advertisers: audience models trained on your first-party behavioral data, contextual targeting that understands what a page or video is actually about rather than matching keywords, and campaign optimization that shifts budget toward the placements and creatives that are converting. Privacy is engineered in, with consent enforced in the pipeline and cohort-level targeting where individual-level is not permitted. The result is a targeting capability you own, that improves with every campaign, and that does not evaporate when the next browser update ships.
Build audience models from your first-party behavioral and consented data, with privacy rules enforced in the pipeline.
Add contextual understanding of pages and videos, so ads match meaning and moment rather than crude keyword lists.
Optimize live campaigns continuously, reallocating budget across segments, placements, and creatives as results arrive.
Report incrementality honestly through holdout testing, so spend follows what actually causes conversions.
What it does
First-party audience models
Lookalike and propensity models built on your own consented data, an asset that appreciates while third-party signals decay.
Semantic contextual targeting
Understands what content actually means, so placements fit the moment without needing to track the individual.
In-flight optimization
Reallocates budget across segments, placements, and creatives daily, instead of discovering what worked in the wrap-up deck.
Incrementality measurement
Holdout-based testing separates ads that cause conversions from ads that merely attend them, keeping optimization honest.
A publisher's ad business lifted campaign conversion rates 26 percent on cookieless inventory, turning its first-party data into a premium-priced targeting product.
Questions, answered
That is the design point. First-party audience models and semantic contextual targeting need no third-party identifiers, so performance holds on cookieless browsers and in privacy-strict jurisdictions.
It turns your audience data into sellable targeting products: modeled segments and contextual packages that command premium CPMs because they perform, backed by measurement you control.
Consent is enforced in the data pipeline, sensitive-category exclusions are built into the models, and cohort-level targeting is used where individual-level processing is not permitted.
Bring ai ad targeting to your team
Book a free consultation and we'll map the fastest path to production.