From 3 Sales a Month to 57 a Week
How we restructured a stalled Google Shopping campaign for a Long Island tool retailer and turned it into a revenue machine doing $60K+/month.
Dynamite Tool Company
A professional tool retailer in Bohemia, NY selling Milwaukee, DeWalt, Lennox, Stabila, Makita, and dozens of other brands online. They had a Google Ads account running three Performance Max campaigns. It was producing 2 to 3 online sales per month.
Three campaigns running. None of them optimized.
Budget allocation was based on guesswork. Search terms were never audited. The Merchant Center feed had recurring disapproval issues. Nobody was looking at the data.
Budget by Gut Feel
Milwaukee was the proven performer but wasn't getting enough budget. DeWalt + Lennox had been paused, restarted, and mismanaged. Full Catalog was spending freely with zero visibility into what converted.
28,000 Search Terms, Zero Audits
Competitor names, RC hobby searches, apparel queries, and generic one-word terms were all consuming budget. "milwaukee" as a standalone term burned $44 in one week with zero sales.
Branded Search Volatility
"Dynamite tools" queries consumed $50 to $142/week across all three campaigns with conversion rates swinging from 2.9% to 17% week over week. It was the primary driver of ROAS volatility.
No Profitability Guardrails
Nobody had calculated the break-even ROAS. Without knowing the 30% margin meant a 333% ROAS floor, every performance conversation was subjective guesswork.
Feed Disapprovals
Merchant Center product feed had recurring issues. When 92% of products got disapproved in April due to a shipping mismatch, it cratered the entire account overnight.
2-3 Sales Per Month
That was the baseline. Three Performance Max campaigns running, real ad spend going out the door, and the account was generating fewer sales than most Etsy shops.
Every metric, transformed.
From 2-3 sales per month to 57 per week. Here's what the numbers looked like at peak performance.
THE MATH
For every $1 spent on ads, the client got back $9 to $13 in revenue. At 30% margins, that's $2.70 to $3.90 in gross profit per dollar of ad spend. February total: ~$46,000 in revenue on ~$5,200 in ad spend. March was tracking toward $60,000+ before the feed disruption.
Three campaigns. Three stories.
| Campaign | ROAS Range | Weekly Purchases | CPC | Daily Budget |
|---|---|---|---|---|
Milwaukee |
893 - 1,422% | 29 - 32 | $0.55 - $0.65 | $95/day |
DeWalt + Lennox |
Up to 1,625% | 4 → 16 | Varied | $25 → $35 |
Full Catalog |
Volatile | Varies | Varies | Held steady |
Seven moves. All data-driven.
No guesswork. No big swings. Every optimization was backed by weekly data and executed with discipline.
The money we stopped burning
The product nobody flagged. The data did.
The full picture
| Metric | Before | After (Peak) |
|---|---|---|
| Monthly Sales | 2-3 | ~220 |
| Weekly Revenue | Minimal | $17,236 |
| Monthly Revenue | Minimal | $60,000+ |
| ROAS | Below break-even | 900-1,289% |
| Cost Per Purchase | Unknown | $21.43 |
| Search Term Audits | Never | Weekly (28K terms) |
What this proves
The data was always there. Nobody was looking at it.
28,000 search terms per week tell you exactly what's working and what's bleeding money. You just have to actually read them.
Small, disciplined budget moves beat big swings.
$5/day increments with one-week evaluation windows. Never more than 20% at a time. This is how you scale without crashing.
Know your break-even number.
Once we had the 30% margin and 333% ROAS floor, every decision became objective. No more guessing whether a campaign was working.
Hold winners steady.
Milwaukee at $95/day was a print-money machine. The hardest optimization is doing nothing when something is already working.
When everything breaks at once, it's not the campaigns.
The April feed disaster proved the system worked. We diagnosed it in one session, held all settings, and directed the fix instead of making panic changes that would have compounded the problem.
Your ads could
be doing this.
We find the waste, fix the structure, and let the data tell us where to put every dollar. Let's look at your account.
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