Real outcomes from startups that replaced guesswork with clean data and measured spend. Every number here is verified.
The bar
Every number tied to a real engagement. Verifiable.
Each case study below names the client, the engagement window, and the revenue figure we delivered against. Where attribution is partially modelled, we say so. Where it's directly measurable, we show the source.
We don't redact the awkward parts. If a campaign underperformed before it worked, the case study says so. If revenue is partially attributed, the percentage is on the page.
If a number looks too good to be true, ask us. We'll walk you through the data.
Case studies
Outcomes from measured spend.
01SaaS
PropTrack Analytics
From leaky funnel to 3.2× pipeline growth — in 90 days.
The problem
PropTrack, a B2B SaaS platform for property portfolio managers, was spending £3k/month on paid acquisition with no reliable attribution. Their CRM showed leads coming in — but the sales team had no idea which channels were actually converting. Budget decisions were driven by gut feel, not data.
Scaling from £9k to £20k MRR — without increasing ad spend.
The problem
Tasklo, a project management SaaS for remote-first startups, had decent traffic but a 0.8% trial conversion rate. Paid spend was profitable but plateauing — and scaling budget alone wasn't moving the needle. They needed compounding growth, not more ad spend.
58% more qualified buyer leads — at half the cost-per-lead.
The problem
Solara Homes, a residential property developer in the South East, was running Google and Meta ads through a generalist agency. Cost-per-lead sat at £74 — but the quality was poor. Their sales team estimated fewer than 1 in 10 leads were genuine buyers, creating enormous friction and wasted time.
Cost per qualified lead|£74 → £31|Qualified lead volume|+58%|New site launches|+2 from pipeline|Lead quality ratio|<1:10 → 1:3.5
04Real Estate
Vantage Lettings
From portal-dependent to owned audience — scaling regional with SEO.
The problem
Vantage Lettings, a growing letting agency in the Midlands, was almost entirely reliant on Rightmove and Zoopla for landlord leads — paying high referral costs with no owned audience or direct channel. They wanted to grow regionally without permanently increasing portal dependency.
Organic landlord enquiries|4 → 31 / month|Portal ad spend|−40%|CAC via organic|£18 vs £95 portal|Owned audience built|From zero
05Fintech
Kredify
From ₦1M/month wasted on unattributed Meta spend to a verified 4.1× ROAS — in 10 weeks.
The problem
Kredify, a Lagos-based lending startup, was spending ₦1M monthly on Meta ads with no reliable way to track which campaigns were generating actual loan applications — versus people who clicked but never completed KYC. Their dashboard, CRM, and finance team all showed different numbers. Nobody could agree on what was real.
Verified ROAS|4.1×|Cost per sign-up|−62%|Blended CAC|₦2,100|Previous CAC|₦5,500
06Health Care
AfyaCare
3.4× more appointment bookings. Same ad spend. Zero additional headcount.
The problem
AfyaCare, a private clinic network with locations in Lagos and Abuja, was running Google Ads through a generalist agency. Ads were live, spend was going out — but the clinic coordinators had no idea which campaigns were actually driving people through the door. The agency was reporting clicks. AfyaCare needed to know about bookings.
