Case studies ยท real, verified data

Real campaigns.
Real numbers.

Every result in this Meta Ads case study is pulled directly from the client’s Meta Ads account โ€” not a projection, not a benchmark, not a hypothetical. Most agencies show a single screenshotted metric without context; this page shows the full phase-by-phase breakdown instead, including the exact spend, cost-per-lead, and conversion numbers Meta itself reports. Click into any campaign below for the complete story.

๐Ÿ“ŒHonest note: This list is short because I take on a limited number of accounts at a time, not because results are hard to come by. Every campaign here is a real, named client โ€” nothing hypothetical lives on this page. For benchmark-based projections, see the Strategy page instead.

Why this Meta Ads case study looks different

Most Meta Ads case studies you’ll find online are built from a single best-performing week, cherry-picked screenshots, or industry “benchmark” numbers that no individual account ever actually hits. This page works differently: every campaign here ran under my direct management, using the same 3P Conversion System described on the Strategy page, and every number is pulled straight from the Meta Ads Manager account itself โ€” not a third-party analytics dashboard, not a client’s self-reported summary.

That also means this list stays short. I manage a limited number of accounts at a time so each one gets real, hands-on attention โ€” not because good results are hard to produce, but because a case study only means something if it’s a real client’s real account, not a hypothetical. As each new managed account builds up enough campaign history to tell an honest story, it gets added here.

What “phase-by-phase” actually means

Every account I manage moves through the same three stages: Pinpoint, Profile, and Profit. Pinpoint is the cold-traffic phase โ€” testing creative, audiences, and messaging to find what actually earns attention before spending real budget chasing a guess. Profile follows once a signal emerges โ€” narrowing in on the specific audience and offer combination that’s converting, usually shifting the campaign objective from awareness or engagement toward leads. Profit is the final phase, where the campaign objective shifts again โ€” this time to sales conversion โ€” and the account is optimized purely around turning warm leads into paying customers rather than just generating more of them.

Each case study below shows these phases separately, with their own dates, objectives, and results, rather than blending everything into one averaged number. That’s deliberate: a single blended ROAS figure hides more than it reveals, since a cold-traffic testing phase and a warm-lead sales phase behave completely differently and shouldn’t be judged by the same yardstick.

What counts as “verified” here

“Verified” on this page means the number came directly from the Meta Ads Manager account dashboard for that specific campaign โ€” spend, cost-per-result, click-through rate, and reported purchases are all pulled from Meta’s own reporting, not a client’s memory or a rounded estimate. Where a figure represents gross sales rather than an ad-platform metric, that number comes from the client’s own order records for the relevant campaign window, cross-checked against the dates the ads were actually live.

This isn’t a promise of identical numbers โ€” every account is different. It’s a look at the same phase-by-phase process I’d apply to yours: finding and fixing the specific gaps holding your Meta Ads back, whatever those turn out to be.

Ready to fix what’s holding your Meta Ads back?

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