Magigoo sells a niche but highly searched product — adhesives for 3D printing beds. The demand was there.
The problem was their campaigns had grown bloated over time. Auto campaigns were matching to irrelevant search terms.
Broad match keywords were eating budget on searches that never converted.
Nobody had touched the negative keyword list in months.
ACoS hit 34% and was still climbing. At that rate, scaling spend would've made things worse, not better.
We froze scaling and started with a full search term audit — 90 days of data, sorted by spend with zero orders.
Killed $600/month in provably wasted clicks immediately.
Separated the top ASINs into individual campaigns so we could control bids per product, not average them out.
Converted the best-performing auto search terms into exact match targets in dedicated manual campaigns.
Built a negative keyword list from scratch. Then, and only then, started pushing bids up on what was actually converting.
The Results
* 📉 ACoS slashed from 34.23% → 19.09% (44% improvement)
* 📈 Total sales grew from $25,198 → $63,341 (+151%)
* 💰 Ad spend controlled at $4,971 generating $26,046 in attributed sales
* 🎯 ROAS of 5.24x — $5.24 back for every $1 spent
* 🛒 1,184 purchases in January alone
Magigoo was bleeding ad spend at 34% ACoS with stagnant sales. In 90 days, we cut ACoS nearly in half to 19% while growing total monthly revenue from $25K to $63K.
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