Case Studies

Proof you can audit.

Three engagements, three different jobs. Every figure below comes from documented client work, with the context that makes it honest.

Factor 75. The scale story.

Premium ecommerce
$0M+
GA-attributed blended revenue
Jan to May 2022, five months
$0.0M+
Meta ad spend managed
Jan to May 2022, five-month total
$0.00M
Google Ads spend
June 2022, single month
Google Ads, June 2022, single month:22.8K conversions$76.85 CPA463K clicks

The context

Factor 75, a premium US DTC brand, needed paid media to scale hard in 2022, straight after iOS 14 broke platform attribution across the industry. Spend was useless if the measurement could not be trusted.

What we built

We managed the Meta account at eight-figure scale over five months, ran Google Ads alongside it, and measured everything on blended Google Analytics revenue rather than platform dashboards.

The iOS 14 context

Meta's reported ROAS looked low. That was not underperformance, it was iOS 14 attribution gaps. Platform-reported ROAS under-reports; the real performance was validated on Google Analytics blended revenue. That distinction is the difference between cutting winning spend and scaling it.

What it proves

Spend scales when the measurement is clean. The discipline that kept eight figures of spend honest is the same discipline we run on every account, at every size.

Mayfair luxury property. The qualification story.

Lead generation

The context

A luxury property consultant in Mayfair, London. Each deal worth a minimum of £2,500, a clientele that expects discretion, and no appetite for unqualified enquiries. The brief was not more leads. It was better ones.

What we built

A pre-qualification system plus an automated appointment scheduler, routing only investment-ready prospects into the calendar. Everyone else filtered out before a minute of the client's time was spent.

What it proves

High-ticket lead generation is a qualification problem, not a volume problem. When the system filters before the call, the calendar fills with buyers, not browsers.

x0
Return on investment
£1,318 spend, £70K+ revenue
  • Qualified leads in month one168
  • Cost per lead£7.85
  • Minimum deal value£2,500

General contractor. The speed story.

Home services
$0.0M
Lead pipeline in 30 days
General contractor, opening month
  • Qualified leads40
  • Average cost per lead$42.39
  • Best ad sets as low as$28.97

The context

A general contractor in home services. Shorter sales cycles, real urgency, and a pipeline that needed filling now, not next quarter.

What we built

A paid social lead generation system tuned for speed, with ad sets cut or scaled on cost per qualified lead rather than clicks or reach.

What it proves

You do not need a quarter to prove a channel. Thirty days of disciplined spend put a seven-figure pipeline on the table.

Trusted by operators in luxury real estate and premium ecommerce
Keller Williams
Nova Financial
Midas Property Group
Eaton
Factor 75
Anima Iris

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