dataplane

Case study — retail and education businesses across three ad platforms

An ad-management platform with a human in the loop

Every account change is now proposed with evidence, approved by a human, validated before applying, and checked for outcome two weeks later.

The challenge

Managing paid media well requires relentless, repetitive discipline: watching search terms, checking tracking health, spotting anomalies, keeping feeds clean — across multiple clients and multiple ad platforms. Done manually, the discipline slips. Done by black-box automation, trust does.

What we did

We built our own multi-client ad-management platform around a simple safety model: the system proposes, a human disposes. Each client gets a private warehouse fed by connectors to Google Ads, GA4, Search Console, Google Merchant Center and Microsoft Advertising, plus their own sales data.

On top of that data the platform runs audits — tracking health, account structure, search-term waste, product coverage gaps — and drafts change proposals with the supporting evidence attached. Nothing is applied until a human approves it; every applied change is validated against the ad platform first, recorded in an append-only ledger, and automatically re-examined two weeks later to confirm it actually helped.

The outcome

Client accounts in retail and education now get the consistency of automation with full human accountability: a complete audit trail of what changed, why, who approved it, and whether it worked. The same platform produces the keyword research, competitor intelligence and strategy reviews clients see each month.

Working in multiple industries? We should talk.

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