Meta
Ads

We check what your pixel actually records: event coverage, browser-to-server deduplication, domain verification and the prioritised events Aggregated Event Measurement allows. Nothing gets scaled on top of tracking we have not verified end to end, because optimising against broken events simply teaches the algorithm the wrong lesson faster.

We map what you sell and at what margin to the campaign objectives that can realistically deliver it — sales, leads or messaging. The account is kept deliberately small: few campaigns, consolidated budgets, so each ad set gathers enough events to exit the learning phase instead of starving in fragments.

We build a production queue of hooks, formats and angles rather than one hero video, because creative fatigue is the usual cause of decline. Every concept is tagged at launch so we can tell which hook, format and message earned the result, not merely which ad set spent the money.

Campaigns go live and are then left alone long enough to stabilise; each significant edit restarts the learning phase and discards data you have already paid for. We watch frequency, cost per result and creative-level breakdowns rather than reacting to a single bad day of spend.

Once a concept proves itself we widen it: Advantage+ campaigns with broad targeting, catalog and dynamic ads where you sell online, retargeting only where the volume justifies a separate ad set. Budget increases are made in steps the learning phase can absorb without resetting.

You receive a Looker Studio dashboard and a monthly working session covering what was spent, what was produced, what we learned and what changes next. Meta figures sit next to GA4 and your own order data, with the attribution differences explained rather than quietly ignored.