4.1xMeta Ads ROAS
From empty spaces to a waiting list
A premium dog daycare
Read the case studyAn educational fintech company in Germany · Berlin, Germany
High-quality leads at a fraction of the previous cost
A Google Ads account rebuilt from the ground up, with tracking that finally told the truth.
- Industry
- Financial services
- Timeframe
- 90 days
-40%Cost per lead
+60%Lead quality score
3.2xReturn on ad spend
Before and after
| Before | After | |
|---|---|---|
| Cost per lead | €74 | €44 |
| Qualified leads a month | 118 | 191 |
| Wasted spend a month | €4,100 | €380 |
| Quality Score (main keywords) | 4/10 | 8/10 |
Cost per lead, 90 days−40%
Leads +62%ROAS 3.2xWasted spend −€3.7k
€74€44
Cost per qualified lead, before and after
The situation
An educational fintech company based in Germany whose Google Ads account produced leads, but at a high and unpredictable cost per acquisition.
Years of accumulated structure: broad match keywords cannibalising each other, no negative keyword lists, and conversion tracking that counted page views as leads. Nobody could say what a lead really cost.
What we changed
- Full account audit: 31% of spend was going to searches that could never convert
- Campaign rebuild with tight match types and shared negative keyword lists
- Conversion tracking rebuilt around real form submissions and qualified calls
- Landing page rewrite to lift Quality Score from 4 to 8 on the main keywords
- Bidding moved from manual CPC to Target CPA once the data was clean
What happened
Cost per lead fell 40% in 90 days while lead quality rose. The account now runs on clear attribution with a predictable cost per acquisition.