The brand was bidding against itself, and corrupting its own data while doing it

This is a large, well-run account: about $8.1M in revenue over the audit window, an 8.8% blended TACOS, branded ads returning 7.9x ROAS. By every headline metric, it is a strong account.

The Account Diagnostic mapped every branded term against every campaign it appeared in, which is how the overlap surfaced. Its single highest-volume branded search term was running across 29 separate campaigns at once, with roughly $89,800 in spend behind it. The brand was bidding against itself for its own traffic in 29 places, instead of capturing it cheaply in one dedicated brand campaign. And the second-order effect of that sprawl was doing quiet damage to the brand's ability to make good decisions everywhere else in the account.

The wasted CPC from bidding against itself is the obvious cost. The forensic problem is the one underneath it. When a branded search term leaks into non-brand campaigns, the cheap, high-converting branded sales it generates get counted toward those non-brand campaigns' performance. That makes the non-brand campaigns look more efficient than they actually are.

So when the brand looked at a non-brand campaign and decided "this is performing, let's scale it," that decision was being made on an ACOS number quietly inflated by branded sales mixed in. The brand was flying on a miscalibrated instrument. Every reinvestment call across the non-brand side of the account was being made on numbers it could not fully trust, and nobody could see it, because the blended view looked healthy.

Consolidate the brand term into one dedicated brand-defense campaign at an intentional, controlled bid, and add it as a negative across the non-brand and product-line campaigns it was leaking into. That does three things at once: it captures the brand's own traffic cheaply in one place instead of 29, it stops the brand from bidding up its own CPCs against itself, and, most importantly, it cleans the branded sales out of the non-brand campaigns so their true efficiency finally reads correctly.

Once that is fixed, every reinvestment decision after it is made on real numbers.

The direct saving is modest: consolidating the branded leakage and capturing that traffic at a controlled bid models out to roughly a 5% CPC reduction on the affected spend.

The real value is bigger and harder to put a single number on: this is the finding that makes every other lever in the account trustworthy. You cannot reinvest correctly while your efficiency numbers are contaminated. Fix this first, and the rest of the account's decisions get made on honest data.