The role is only months old, one vendor disappointment already behind it, with a budget window that closes in weeks and every line of spend needing personal defense in the language of the person signing off. Some of that spend is plausibly just catching demand that was already coming, but plausibly is not a number, so the choice sits between stating it as fact and risking being wrong in public, or saying nothing and looking unprepared either way. Unproven waste has become the only lever available to look competent right now, which is a thin thing to build a defense on.
A number for how much of that spend is creating demand versus catching it replaces a guess with a documented answer. The review opens with evidence on the table instead of a hedge. A line-by-line account stands ready for defense without leaning on instinct or on how the number has always been presented before.
The bottom of the funnel keeps filling because it reads well against a return-on-spend target, while a slower problem builds underneath: frequency is already low, and if the pattern holds, new customers in that segment run out inside a few years. The reporting that rewards the behavior is also the reporting most likely to over-credit it, since a same-page return figure and a genuinely healthy account can look identical in the number leadership sees. The trajectory is visible enough on its own, but nothing on hand outweighs a return figure that currently looks fine.
A read on how much of that bottom-funnel spend is actually incremental versus simply well-credited makes the trajectory visible in a number rather than a hunch. A case for reallocation now exists before the customer count actually drops. A figure outranks look-good reporting in the room where budget gets decided.
The best-looking campaigns stay on small budgets and tight frequency caps, held there because the reported return would inflate too easily if they ran freely. Nothing beyond personal judgment separates a flattering account from an honest one, and no one else has confirmed that judgment is right. That is hard to hold indefinitely: restraint nobody can see is restraint nobody can credit, and a report that looks too good invites the same doubling-down instinct the caps are meant to prevent.
An independent read on which campaigns are genuinely incremental and which are simply well-positioned to look that way backs the hand-held caps with something beyond instinct. Being the only check on the numbers stops being necessary. And a documented reason now exists for the next time someone asks why a high-return campaign is not getting more budget.
Paid search is not a channel in this account, it is most of the account, and a named competitor has just been heard testing part of their own search spend and finding it was buying clicks their organic presence and map listings would have captured anyway. Demand here is largely urgency-driven and self-initiated, with strong organic and local-search presence already established on the same intent, exactly the condition under which that overlap happens. If the same pattern holds, a habit has been funded rather than a channel for years, and hearing that from a peer instead of the account's own data is the worse version of the same discovery.
A read on how much of that search spend is incremental against demand that would have been captured anyway, built from existing history rather than a competitor's story, settles it. The number arrives before anything gets cut. The reallocation decision rests on evidence rather than someone else's result.
Non-incremental bottom-funnel spend is spend on channels like brand search, retargeting or remarketing that reports a strong return because it captures demand already heading toward a purchase, not because it created that demand. In platform reporting it looks identical to genuinely incremental spend. Across 871 models from 138 advertisers, 11% of all paid media spend sat in channels returning less in incremental revenue than they cost, and it is not spread evenly: half of advertisers had at least 10% of budget in such channels, one in four at least 30%.
By comparing a channel's reported return against how outcomes actually move when spend on that channel changes, using variation already present in existing history rather than a live test. A channel that is only harvesting demand shows little change in outcomes when its spend moves, while a channel creating demand shows a real one. Neither the size of the gap nor its direction is predictable: across 22 advertisers measured on the same weeks, incremental return ranged from 0.47 to 1.14 times what Meta reported and 0.27 to 1.23 times what Google reported.
By separating each bottom-funnel line's reported return from its incremental contribution, using patterns already in existing spend and sales history. A line can carry an excellent reported return and a small incremental contribution at the same time, and that gap, not the return figure alone, is what should decide whether it is safe to cut.
Real revenue is lost and usually shows up quickly, because a genuinely incremental channel does not have another source stepping in to replace the demand it was creating. That is the reason to size the incremental share before cutting, rather than cutting on a return figure alone and finding out afterward.
When a channel has too little spend or too short a history to separate a real effect from noise, when the decision needed is which specific keyword or ad to pause this week, or when demand is so seasonal that a short read would mistake timing for incrementality. In those cases the honest answer is a wider range, not a clean number.