The store owner
Ad spend climbs with revenue, but nobody can say which queries are carrying the return.
Outcome: The revenue terms are named, the waste is named, and the budget follows the evidence.
Spend on buyers, not browsers.
Ecommerce accounts leak in a specific way: research-intent queries that never buy, and budgets that don't follow the products actually converting. Clicc.ai reads the real queries, judges every campaign on value, and moves the money toward profitable demand.
The PMax rule
1.2×
The tROAS premium that stops PMax eating Shopping
When Performance Max and Standard Shopping run together, PMax should carry a return target at least 1.2 times Shopping's. Clicc.ai enforces the hierarchy and flags cannibalisation before Shopping quietly starves.
Revenue Terms First
The queries that actually sell, surfaced
Buried in the query data are the searches that end in checkouts. Search Intelligence surfaces them with the numbers attached and queues them as keywords, while the how-to, comparison and free-shipping-hunting traffic gets flagged as the waste it is.
- Converting queries queued as ready-to-add keywords
- Research-intent and wrong-product searches flagged for blocking
- Match-type aware negatives, so blocks land exactly as intended
Judged on Value
Bidding recommendations that speak ROAS
Ecommerce campaigns carry cart values, so Budget Intelligence treats them that way. Shopping and Performance Max follow the value path, from Maximize Conversion Value to a target ROAS once the data supports one, and every recommendation is judged against your return targets.
- Value-based bidding paths for Shopping and Performance Max
- Every campaign judged against your ROAS and CPA targets
- One money lever at a time, with cooldowns while bidding relearns
Budgets Follow Demand
Move spend to what's converting, in one plan
When some campaigns bleed and others are held back only by budget, the answer is reallocation. Clicc.ai builds the plan, trims the underperformers with protective caps, feeds the budget-constrained winners, and applies the whole thing in a single click with every move revertible.
- Budget-constrained winners surfaced as scale opportunities
- Underperformers trimmed with caps, never starved
- The whole reallocation applied in one click
The outcome
What changes for the store
Cleaner cost of sale
Research-intent waste gets blocked and revenue terms get funded, which is the shortest route to a better blended ROAS.
PMax and Shopping coexist
The return-target hierarchy keeps Performance Max selective and Shopping fed, instead of one silently draining the other.
Winners scale on evidence
Campaigns hitting target and capped by budget are surfaced with the data attached, so scaling is a decision rather than a hunch.
Learning stays protected
One money lever at a time and cooldowns after every change keep Smart Bidding stable through peak periods and promotions alike.
Around the store
Built for how ecommerce accounts actually fail
The ecommerce manager
PMax took over and Shopping volume has been sliding ever since, with no obvious lever to pull.
Outcome: The return-target hierarchy is enforced and cannibalisation gets flagged before it becomes a quarter-long mystery.
The agency running the account
The client's brief is one line: same spend, better return.
Outcome: Reallocation plans, waste blocking and value-judged recommendations, each with the before-and-after ready to present.
Questions
Clicc.ai for ecommerce, answered
Does it understand ROAS or just CPA?
Both, and it picks the right one per campaign. Shopping and Performance Max follow the value path toward a target ROAS, while campaigns with their own targets are judged against those targets directly.
We run PMax and Shopping together. Does that matter?
A lot. Performance Max wins the auction hierarchy by default, so Clicc.ai enforces a return-target premium on PMax and flags cannibalisation before your Shopping campaign quietly starves.
Where do the savings actually come from?
From the queries. Research-intent, how-to and wrong-product searches that never buy get identified from real spend data and blocked with ready-made negatives.
Will automated changes destabilise Smart Bidding?
The discipline prevents exactly that. One money lever per campaign per cycle, a stabilisation cooldown after every change, and a hard daily cap on changes per account.