Why Your B2B PPC Metrics May Be Lying to You

Search Engine Land on B2B paid-search (PPC) measurement — the paid leg of search-marketing. Thesis: marketers optimize toward vanity metrics; "more conversions and higher ROAS don't always translate to more pipeline or revenue."

Problems

Quadruple-counting — all conversion actions set as primary inflates totals across funnel stages.
False ROAS — adding conversion values to multiple actions masks real incremental gain.
Average vs marginal CPA — average CPA hides the true cost of the next conversion at higher spend.

Fixes

Relative conversion values (e.g. MQL worth 1000× a video view) to steer the bidding algorithm.
Campaign-specific down-funnel goals; measure marginal CPA + incremental revenue; marketing-mix modeling / incrementality testing.

Why it's here

Paid-search measurement, the counterpart to organic seo-commissioning-workflow and seo-affiliate-alignment in search-marketing. Its incrementality problem (you can't see the true marginal effect) is the paid-side cousin of the AI-search opacity problem (google-io-business-visibility) — measurement is the cross-cutting hard part on both the traditional and AI sides. (AI minimal here — only bidding algorithms.) Audience: B2B PPC managers.

The automation stress-test

groas is this page's problem in sharpest form: an autonomous AI optimizer sold on maximizing ROAS and conversions — the exact metrics flagged here as potentially "lying." Handing bidding to a model trained to maximize reported ROAS scales whatever that metric mis-counts (quadruple-counted conversions, false ROAS) faster than a human would. The fixes above (relative conversion values, marginal-CPA/incrementality goals) become the guardrails you'd have to set before trusting any autonomous bidder.

Why T4

Unevidenced, which on this ladder is what T4 means. Every failure described here — quadruple-counted conversions, ROAS inflated by stacked conversion values, average CPA hiding marginal CPA — is a pattern the author has seen in accounts, and not one account is shown. The arithmetic behind "average CPA hides the true cost of the next conversion" is sound on its own terms; what is missing is any spend curve demonstrating the gap in a real campaign. One advertiser publishing marginal CPA beside average CPA across a spend range would move this to T2 and settle a question the paid half of this spoke keeps asking on trust.

search-marketing · groas · seo-commissioning-workflow · seo-affiliate-alignment · google-io-business-visibility