Good strategy. Measurable impact.
Real client results and the systems behind them. Most clients stay anonymous; the numbers are theirs.
Daytrip: from one mega-campaign to a scored route portfolio Google wrote up
One engagement, four steps. Every one of 60,000+ routes scored on backend profit, Google Ads performance and SEO demand. One campaign per segment. Budget for proven routes that ads had never reached. Then Search Ads 360 Multi-Target Portfolios on top, which is the part Google Marketing Platform published.
- Monthly ad spend
- -40%
- Revenue, on 40% less spend
- Held
- Absolute gross margin
- Held
- ROAS, per Google
- +47%
Is an ageing population shrinking the market? We checked the search data
The CEO feared falling birth rates were shrinking his market. Four years of search data, normalised and joined to the shop's own sales, showed the decline was a reporting artifact, quads were outgrowing the market everywhere, and Poland deserved a second look.
- Keywords, 3 countries
- 26,156
- Revenue YoY vs −17% reported demand
- +35%
- Category searches captured
- 1.8×
- Polish demand vs Czech
- ~3×
Was last month’s marketing worth it? A cohort dashboard that answers early
Investors keep investing for years, so a month’s ad spend cannot be judged by that month’s revenue. A cohort dashboard on the client’s own backend data, with a custom projected lifetime value set against acquisition cost and market supply. Shown on invented numbers.
- The one number to watch
- pLTV/CAC
- Projected lifetime value
- 24 mo
- First read confirmed
- Month 2
- Interactive demo
- Live
What your competitors launch on Meta, tracked every day
A live dashboard built on the public Meta Ad Library. Every competitor ad collected daily, so you see what they launch, what they keep running and where their reach moves. On the demo set it shows three brands with three different strategies.
- Ads tracked in March
- 759
- GymBeam vs Myprotein launches
- 5×
- Avg. days an ad runs
- 67 vs 17
- Launches, pauses, reach
- Daily
How AG1 runs 123 creative concepts on Meta
We scraped a quarter of AG1's Meta ads, had Claude classify every static creative and collapse near-duplicates into concepts, then mapped them onto 18 angles. The result shows what a strong DTC advertiser leans on, and the lanes it leaves open.
- Of ads scraped
- 90 days
- Unique concepts
- 123
- Angles mapped
- 18
- Angles never used
- 5
A team of 4 watching 100+ countries every day, with AI
No team can watch 100+ markets and their seasons by hand, so nobody did. An AI layer now scans every country daily and flags what is growing, what is in season, where to scale budget and where to cut it, in a short weekly brief.
- Countries covered
- 100+
- Seasonal lifts caught
- 6×
- Issue-to-detection lag
- < 7d
- Seasonal lifts caught
- 6x
Cutting A/B test evaluation from days to minutes with AI
Front-loaded test context into a prompt + scheduled digest so the AI runs the recurring evaluation loop on its own. Specialist time per test from 4-6 hrs/week to 30 minutes total: write the doc, read the readout, make the call.
- Saved per test per week
- 4-6 hrs
- Concurrent tests / person
- 3 → 8-10
- Early-call rate
- 30% → 5%
- Tests with audit trail
- 100%
A performance review that explains why the numbers moved
A deliberately simple weekly or monthly account read, enriched with the Google Ads and Meta change history plus scraped market signals. Every shift arrives attributed (we changed the bid, a product sold out, or the market moved) instead of starting a Monday-morning investigation.
- Numbers · changes · market
- 3 layers
- Runs at your cadence
- WoW / MoM
- Change logs pulled in
- 2 APIs
- Cause for each shift
- Int. vs ext.
How We Scaled Through BFCM When Discounts Invalidated The Algorithm
When 40-60% discounts invalidated Smart Bidding overnight, we built a product scoring system, segmented campaign architecture, and real-time monitoring dashboard to guide the algorithm through chaos in just three weeks.
- Revenue YOY
- +284%
- Ad Spend YOY
- +119%
- ROAS Improvement
- +7pp
- Conv. Rate
- +89%
Bring one problem. Leave with a working build.
Tell us what keeps slowing your team down. We build version 1 for free, and if you like it, we keep building.
Get your first buildFree · starts with a 30-min intro call