Every performance shift
has four suspects.
Usually more than one is guilty — and automation keeps spending while you investigate.
Bidding, matching, routing, auction dynamics or measurement behaviour changed — with nothing in your change history.
Budgets, targets, creative, offers, landing pages, tracking or conversion definitions changed.
The people behind the same campaigns, keywords and audiences changed.
Revenue, margin, refunds, retention or LTV shifted — after the platform had already reacted.
You have every metric. Nobody has the story.
One loop, running continuously.
Not a quarterly audit that goes stale in a week. Connect once — the reading stays current, because the account, the platform and the market keep moving.
Link Google Ads read-only, or upload a CSV. A short brief tells Adwiser who you're buying — and who you aren't.
Every query, placement and audience classified against your business, not a generic benchmark.
Findings ranked by what they cost you, each with the numbers behind it. Verdicts, not charts.
Outcome-linked signals return to the platforms, so they optimize toward valuable customers — not just more conversions. Every decision sharpens the next.
The first thing you see is the spend that was never yours to make.
In every account we've read, 15–67% of spend looked successful in-platform — and was buying the wrong customer. Nasdaq-listed accounts included.
What changed, what we expected, what actually happened.
Structures, conversion definitions, pages, offers, ICPs and platform mechanics all move — and almost none of it gets written down. Adwiser versions all of it, so “why did this change?” is a lookup, not archaeology.
It's also the part that compounds: every decision recorded before its outcome teaches the system what actually works in your account — not a generic best practice.
The mix that matters depends on what you sell.
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