Four Kinds of Waste

Same symptom, four different problems. Each one has its own kind of evidence, and none of them accepts the others’ proof.

Every dollar lands in exactly one bucket. A finding can straddle two, and several below do; when that happens its dollars are split, the rows you can see on one line and the tail you cannot on another, both citing the same finding. What the buckets never do is add. Visible waste is money you have stopped spending by Friday. Mis-measured waste is a reporting defect that may be hiding either good spend or bad. Opaque waste is a known unknown. Cannibalistic waste is a hypothesis with a price tag attached to it prematurely. Sum them and you get a large, frightening number that means four things at once, which is exactly the number nobody can defend when the incumbent agency pushes back.

Misfiling is expensive in a specific way. Call opaque waste visible and you invent a cause for spend you cannot see, then act on the invention. Call mis-measured waste visible and you pause a campaign whose only real problem was a duplicate tag. Call cannibalistic waste visible and you cut branded spend, watch reported return fall, and find that revenue barely moved — a result that tells you nothing about whether the cut was right.

Waste is never a property of a dollar. It is the share of spend failing a criterion you stated out loud, which means the criterion has to be stated.

Before any slice goes in a bucket, write the sentence that condemns it, in a form the person who built the account could disagree with. A criterion everyone nods at is doing no work:

• “Clicks from queries containing jobs, salary, free, or DIY. We sell to none of those people.”
• “Spend delivered outside the area we serve, using matched location rather than targeted location.”
• “Conversions on the brochure-download action, which has produced no reachable person in ninety days.”
• “Spend in hours when nobody is available to respond and the first reply goes out two days later.”

Then say what you measured and over how long. One month of evidence sizes one month. Multiplying it by twelve is a second claim, with its own assumption that the month was typical, and it should be written down as one.

These recur across practitioner audits often enough to be worth knowing by shape. Notice how few of them are purely visible.

Four limits produce most of the opaque bucket. They are documented, they are deliberate, and no export route goes around them.

The way to carry this is arithmetic. Take the month’s spend, subtract everything you could classify with evidence, and give the remainder a name. That number is the honest measure of how much of the account you are steering in the dark, and it belongs in the brief next to the findings. Reporting zero there is itself a claim, and it is not one you can support.

Volume sets a second limit, and at small budgets it binds harder than any platform threshold. A slice with six conversions in it cannot be classified as good or bad, whatever the cost per conversion says. Classify at the level your conversion count supports, and put “too little evidence to say” beside the opaque bucket rather than inside the visible one.

One month, one line per bucket, every line carrying its criterion. This is the artifact the rest of the diagnostic is built on.

The classifying is a long afternoon of reading exports, which is work an assistant does well, provided you hold it to the rule that every dollar it moves comes with the row that moved it:

That last instruction holds for numbers arriving from outside the account as well. The published estimates worth quoting all name their universe, their denominator, and the exact criterion a dollar failed, and they cover narrow slices of the market: one study of open-web programmatic, one audit of a national supply chain. A single headline share of digital advertising wasted names none of those things, and it usually comes from somebody who sells the remedy.