Budget Blinds of North County San Diego was spending more each month to get fewer, lower-quality leads. Their Google Ads campaign had run for years and stalled out, with cost per lead climbing past $200 and the client openly frustrated. Instead of tuning a campaign that had run out of room, we rebuilt it from scratch to reset the algorithm. Within weeks, cost per lead fell 61 percent and monthly leads nearly tripled, all on the same budget.
By replacing a stale campaign rather than patching it, we brought cost per lead back under control and grew quality conversions, without spending an extra dollar.
Budget Blinds of North County San Diego had been running the same Google Ads campaign for years. By the first quarter of 2025 it had stalled. Cost per lead had climbed past $200, conversions were sliding, and the client was vocal that the leads coming through were not worth what they were paying for them.
Our team audited the account top to bottom and found no obvious red flags. The problem was the campaign itself. Years of accumulated historical data were weighing the algorithm down, and no amount of tuning the existing setup was going to move it. The account needed a reset, not another round of small optimizations.
Bring cost per lead back under control and grow quality conversions, without simply pouring more money into the account.
Rather than keep optimizing a campaign that had run out of room, we recommended launching a brand-new campaign to reset the algorithm and clear the historical data dragging on performance. We rebuilt the targeting and structure around the leads that actually convert, then held the budget steady so the improvement would come from efficiency rather than spend.
Turning around a stalled account the client had lost confidence in meant fixing the root cause, not the symptoms.
Performance was sliding with no obvious errors, so the real cause, stale historical data, had to be identified before anything could be fixed.
Launching a new campaign meant resetting the algorithm and giving up years of data, a calculated risk that had to pay off quickly.
The client was openly frustrated about lead cost and quality, so the new approach had to show results fast.
By recognizing that the account needed a reset rather than another tune-up, we turned a stalled, expensive campaign into the client's most efficient quarter. Cost per lead dropped 61 percent, conversions nearly tripled, and the budget never moved.
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