Ads Account Diagnostic

Why ad accounts fail in one of four places

After years of auditing paid accounts I have stopped finding new ways for them to break. The same four failure points come up on a loop. The measurement is wrong, so decisions get built on fiction. The creative is stale, so the auction charges more every month for the same message. The offer and landing page fail to carry the ad's promise, so clicks bounce at full price. Or the unit economics were never computed, so the account scales confidently into losses. Every "the algorithm hates us" story I have unpacked landed in one of those buckets.

The weakest link beats the average

The total score matters less than the lowest category. A creative engine running at 9 out of 10 cannot outrun broken tracking, because the platform is optimizing toward events that do not match reality and every winner it declares is a coin flip. The logic holds in every direction: perfect margin math with no creative volume just means you know precisely how much money you are failing to make. That is why the result screen names one category and gives you three moves for it, instead of handing out a grade and a pat on the back. Fix the floor, then re-test.

Where the questions come from

Each question stands in for a check I run when I open a real account. Reconciling platform conversions against backend orders is usually the first hour of any audit, and it fails more often than clients expect. Frequency on cold audiences is a two-minute pull that predicts creative fatigue better than most dashboards. The break-even ROAS question exposes the most expensive habit in ecommerce advertising: targeting a return that was never derived from margin. Twelve questions cannot replace a full audit, but they are enough to point at the right problem, and pointing at the right problem is most of the value.