Google, Meta, and TikTok campaigns aimed only at buyers with real intent — with your actual sales data fed back into the ad platforms, so the algorithms learn who pays instead of who clicks.
It's rarely the budget. It's what the budget is pointed at.
Wide audiences and loose keywords buy clicks from researchers, students, and competitors — everyone except the buyer with budget and a deadline.
Ad platforms chase the easiest conversion: the freebie hunter, the tyre-kicker. Cost per lead looks great while cost per customer quietly explodes.
Google and Meta never see which leads actually closed. Without sales feedback, they can't learn — so every month re-buys the same low-quality traffic.
Spend split across five campaigns, three platforms, and no clear winner. Nothing gets enough signal to optimise, so nothing ever compounds.
Four installs that turn ad spend from a cost line into a revenue engine.
Campaigns rebuilt around buying intent: high-intent search captured first, warm audiences remarketed second, cold prospecting only where it pays. Every dollar has a job.
Your CRM closed-won data flows back into Google, Meta, and TikTok via offline conversions and the Conversions API — training the algorithms on revenue, not form fills.
Structured testing sprints: hooks, angles, and offers rotated on a calendar, winners scaled, losers killed fast. No more one-ad-fits-all campaigns.
Budgets rise only behind proven cost-per-customer thresholds. What proves itself gets more; what doesn't gets fixed or cut. Growth without margin decay.
A fixed rebuild first, then compounding gains.
Example outcomes from the revenue systems we operate.
We audit your account structure, tracking, and landing pages — then send a written report showing exactly what to fix first.
Ads work best when the rest of the system holds. See what connects.