Spend & conversion diagnosis
Read performance against GA4, feed and product data rather than spend in isolation.
AI Google Ads is the team's paid search specialist. It reads campaign, keyword and spend signals against the catalogue and margin context, then prepares specific budget, bid and segment moves for approval.
AI Google Ads connects campaign performance to the products and margins behind it. That context changes which optimisation is actually worth making.
Read performance against GA4, feed and product data rather than spend in isolation.
Surface unusual shifts in cost, conversion quality or demand before they become a monthly surprise.
Prepare budget, segment or campaign actions for your approval, then verify the result.
It does not optimise a metric in isolation. Every recommendation is checked against product demand, inventory, feed eligibility and the commercial outcome you actually want.
Track ROAS, CPA, CTR and spend across campaigns, ad groups and keywords.
Find segments that absorb budget without producing profitable orders.
Prepare moves with demand, margin and inventory context attached.
Apply only approved changes, then check performance and keep the change record.
It looks for spend that is disconnected from the commercial result it is supposed to buy.
Each proposal includes the expected effect and the guardrails you are approving.
Shift budget from weak segments to demand-backed ones.
Pause or limit wasteful keywords, placements or campaigns.
Adjust bids and targets inside an approved range.
Fix feed or landing-page issues before scaling spend.
Every specialist follows the same path: analyze the signal, diagnose the cause, propose a plan, wait for human approval and execute with verification.
Spend, ROAS, CPA, CTR, keyword and campaign performance.
Connect the change to demand, margin, stock and feed context.
Draft budget, bid or segment moves with expected impact and guardrails.
The AI CEO ranks the options; you approve budget and risk.
Apply approved changes and check the result.
A paid-search finding needs store, feed and analytics context before anyone touches a budget. This is how that decision moves through the team.
Reads spend, ROAS, CPA and keyword performance and flags the segment absorbing budget.
Checks demand, margin and stock and confirms the segment is not worth defending.
Suggests a budget shift and checks that the destination products are eligible.
The AI CEO presents the trade-off and guardrails; you approve the change.
Applies the approved allocation, reads back the account and reports the result.
Use Google Ads with the catalogue, margin and inventory context that determines whether a conversion is actually worth buying.
See cost and conversion signals next to the product context that explains them.
Where the money goes — Spend, results and conversion quality, read together.
What we recommend — The budget or keyword move worth making, with the trade-off explained.
What you approve — No live campaign, budget or bid changes without your approval.
Start from the systems you already use. Availability depends on the platform, account and permissions you give.
All product names, logos and brands are property of their respective owners. Logos identify supported integrations and do not imply endorsement.
Connect Google Ads and bring performance decisions into the same operating context as the store.