Google Ads, driven by signals.
Most agencies optimise toward last clicks. We score every shopper on the behaviours that correlate with purchase — learned from your own data — and point spend at measured intent.
Engagement signals lead the bidding
Every visitor is scored live on behaviours that predict purchase — variant clicks, journey sequences, return patterns. High scorers get bid up and seed lookalike audiences; cold traffic stops wasting spend. The score moves days before a sale does.
POAS and LTV, not just ROAS
Profit on ad spend and lifetime value strategies, built on your unified sales data. When margin and repeat-purchase behaviour feed the bidding, the account maximises revenue that actually sticks — not revenue that discounts itself away.
Findings the tools can't see
Because ads data sits in the same field as pricing, sales and analytics, we catch what single dashboards miss: budgets throttled during your best revenue hours, top-ROAS segments starved of spend, products winning on price but invisible in ads.
Automated account operations
Routine account work — pacing, budget caps, search-term hygiene, bid adjustments — runs on automation, reviewed by a human. Consistency the manual agencies can't match, without the agency hours.
20.8× ROAS, 14% of budget
One report found below-market-priced products returning the account's best ROAS while receiving a seventh of the spend. The fix took a day.
The monthly dashboard
Ads management runs on the same unified field as your monthly analysis — every optimisation is measured in the next report.
Point spend at intent.
The audit shows what your ads account is missing — before you move a single krona of budget.