01
Offer access
Advertisers and publishers
The problem
Advertisers hold an offer and a thin list of partners. Publishers hold traffic and a pile of offers that do not match it.
The work
We read the payout, the geography, the compliance line, and the page before anyone is introduced. A match is a written decision, not a bulk export.
You leave with
A fit note: who should run the offer, who should not, and the term that would make it fail.
02
Ad optimization
Reach, relevance, CTR
The problem
Spend is going out on creative the audience scrolls past, or on a claim the landing page never repeats.
The work
We treat the ad and the page as one system. Tests change one variable. CTR only counts if the click still converts.
You leave with
A creative and targeting brief, plus a kill list of what should stop running.
03
Landing page audit
Bounce, clutter, the action
The problem
The click lands on a crowded page, a buried call to action, or a promise that drifted from the ad.
The work
We read the page as a skeptical visitor on a phone. Message match, one primary action, speed, and the friction that is actually costing the conversion.
You leave with
An ordered audit: keep, cut, rewrite. Performance is part of the read, not a separate ticket.
04
Media buying
Spend against return
The problem
Buying is still a person refreshing a dashboard, with a daily budget and no rule for when the return breaks.
The work
Bids and budgets get a return target and a stop. AI-assisted pacing is used where it beats a manual refresh. A person still owns the exceptions and the offer itself.
You leave with
A buying plan with a stop-loss, a readout cadence, and the metric that is allowed to move spend.
Where AI sits, and where it does not
Used
- Bid pacing against a return target
- Creative variants that stay inside the offer’s claim
- Flags when a landing page drifts from the ad
Not handed off
- Whether an offer is fit to send traffic to
- Compliance, caps, and what the payout actually is
- The call to stop spending
Tell us which leak