Paid search practitioners can no longer treat the click as the full record of PPC value, according to Navah Hopkins, whose column "Ask A PPC" at Search Engine Journal addresses the measurement gap directly. Her answer to the question "How do I measure and attribute when clicks are no longer the whole story?" lands on three concrete instruments: conversion tracking, impression signals, and the advertiser's own business records.

The timing is not accidental. Buying journeys, Hopkins notes, are moving into AI. When users gather product information inside AI-driven experiences, the click trail that attribution models depend on thins out. An ad can influence a purchase that the dashboard never records. That is the practitioner's problem the column sets out to solve.

What does this change for PPC teams?

The change is structural, not cosmetic. Measurement shifts from a single observed event — the click — to a triangulation exercise. Hopkins identifies three legs of that triangulation:

• Conversion tracking, which anchors value to outcomes rather than traffic.
• Impression signals, which capture influence from exposures that never produced a click.
• Business records, the advertiser's internal sales and CRM data, used to validate whether attribution outputs match commercial reality.

The third leg deserves attention. Hopkins positions business records as a validation layer for attribution, not a replacement for it. When platform-reported conversions and internal figures diverge, the discrepancy itself becomes diagnostic information about where the journey escaped measurement.

Why impression signals matter now

Impression-based measurement has always existed on the margins of paid search reporting. Its promotion to a first-rank signal reflects the AI shift Hopkins describes. If a buyer's research happens inside an AI interface, the observable footprint of a campaign may reduce to views rather than visits. Marketers who cannot read exposure data will understate the contribution of campaigns that influence demand without harvesting it.

Conversion tracking remains the anchor point in her framework. Outcomes, not interactions, define value. But outcomes recorded without corroboration invite over-crediting, which is precisely why the business-records layer exists alongside it.

The practical takeaway

The column's core instruction is discipline: measure PPC value with more than one instrument, and treat disagreement between instruments as a lead, not noise. Teams that already reconcile platform conversions against CRM data will find the transition manageable. Teams that report clicks and platform-attributed conversions alone will see their numbers diverge from revenue as AI-mediated journeys grow.

Hopkins' guidance points one direction: attribution becomes an evidence-assembly task, and the advertisers best placed to execute it are those with clean internal data to bring to the table.