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.
11+
Startups grown worldwide
−41%
Avg. CAC reduction
3.2x
Avg. pipeline growth
01Saas
How Mowsix Grew Tasklo’s MRR From £9k to £20k Without Increasing Ad Spend
Tasklo had the traffic. What it did not have was a trial that converted: 0.8% of signups became customers. We fixed the measurement first, then the funnel.
The problem
Tasklo sells project management software to remote-first startups. Traffic was healthy. Trial conversion sat at 0.8%. Paid was profitable, so the obvious move was to spend more. They had already tried that. Spend went up and MRR stayed flat. Budget was never the constraint. Nobody at Tasklo could say which channels produced revenue, so every decision about where to put the next pound was a guess dressed up as a strategy.
How Mowsix Reduced Kredify’s CAC by 62% With Same Spend
Kredify was spending ₦1M a month on Meta with no way to prove any of it was working. Ten weeks later it had a verified 4.1× ROAS and a blended CAC less than half what it started with.
The problem
Kredify was spending ₦1M every month on Meta ads. Three systems tracked the results — the ads dashboard, the CRM, and the finance team's own records — and all three reported different sign-up numbers. Nobody could agree on what a sign-up was, so nobody could say whether the spend was working. The agency kept optimising toward form submissions. Most of them never became verified customers.
Verified ROAS|4.1×|Cost per verified sign-up|−62%|Blended CAC|₦2,100 (from ₦5,500)|Monthly Meta spend|₦1M (unchanged)
03Saas
How Mowsix Increased Qualified Leads by 3.2x for PropTrack Analytics, Reduced Pricing Page Drop-Off by 34%
PropTrack's CRM was full of leads but couldn't show which ones became customers. Attribution mapping revealed LinkedIn was driving 61% of revenue on 22% of spend. Budget moved accordingly.
The problem
PropTrack's CRM was filling up with leads, but nobody could show which of them had become customers. Sales was qualifying leads the pipeline had never touched. Marketing reports showed channel spend. They didn't show which channels produced revenue. The team had a guess about what was working. They couldn't prove it either way.
How Mowsix Reduced CPL from £74 to £31 For Solara Homes, A Real Estate Startup
Solara's ads were producing leads at £74 each. Fewer than 1 in 10 were real buyers. We rebuilt lead scoring so the sales team only spoke to people who could complete. Cost per qualified lead fell to £31.
The problem
Solara's ads were generating leads at £74 each. Fewer than one in ten were real buyers. The sales team was spending three days a week qualifying people who couldn't get a mortgage, didn't have a deposit, or weren't buying for another year. The ad account was optimising toward form fills because that's all it could see. It had no visibility into what happened after the form.
Cost per qualified lead|£74 → £31|Qualified lead volume|+58%|Lead quality ratio|1-in-10 → 1-in-3.5|New site launches from pipeline|+2
05Real Estate
How Mowsix Increased Organic Landlord Enquiries For A Letting Agency In West Midlands
Vantage was renting its pipeline from Rightmove and Zoopla. Six months later it owned one, at £18 a landlord against £95 through the portals.
The problem
Vantage Lettings is a letting agency in the Midlands. Almost every landlord lead it got came from Rightmove or Zoopla, and every one carried a referral cost. That model works until you want to grow. Expanding into a new town meant buying more portal exposure in that town, so the cost of growth scaled in step with the growth itself. Every new landlord was £95. They wanted a channel they owned.
Organic landlord enquiries|4 → 31 per month|Organic CAC|£18 vs £95 portal|Portal ad spend|−40%
06Healthcare
How Mowsix 3x Monthly Appointment Bookings For a Nigerian Health Tech Startup
AfyaCare's agency was reporting clicks. The clinics needed to know about bookings, and which of those bookings turned into someone walking through the door. Same ad spend. 3.4× the appointments.
The problem
AfyaCare runs private clinics in Lagos and Abuja. A generalist agency was running its Google Ads. The reports arrived every month full of impressions and clicks. What they never contained was a number a clinic coordinator could use, because a click is not an appointment and an appointment is not a patient who turns up. Spend went out. Nobody could say what came back.
