An independent performance-marketing agency audited a large sample of accounts that could not scale profitably. The recurring blocker was not the media plan.
An outside performance-marketing agency, not a competitor and not AxiaOS, audited a large sample of ecommerce accounts that had stalled out on scaling. Across the majority of them, the recurring blocker was not creative, not targeting, and not budget. It was a measurement problem quietly corrupting every decision made downstream of it. Their own framing: a brand ends up spending more for the same result, on a kind of treadmill, because the number the team is optimizing against was never reliable in the first place.
The same audit named two widely used attribution tools directly, not as a fix but as part of what compounds the confusion when there is no reconciled record underneath them. A more detailed dashboard sitting on top of an unreliable number does not resolve the number. It just makes the same guess look more precise.
Their own recommended fix was real and worth doing: tighter attribution-window tuning, a blended efficiency read across channels, and geo-based incrementality testing. All three beat guessing. All three are still a modeled estimate produced inside someone else's platform, not a reconciled record checked against what actually happened in the business. An independent audit landing on the same root cause AxiaOS diagnoses is a strong signal the problem is real and common across this market. The fix that actually closes it, an owned record verified against the client's own orders, is the piece none of those three steps produce.