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Sunday 25 October 2026 marketing · daily

Martech · agentic commerce

Commerce funnel collapse demands unified measurement

Social and agentic commerce compress discovery and purchase; brands must shift from siloed attribution to incrementality and purchase-data-led measurement.

Commerce funnel collapse demands unified measurement
In this story
  1. The funnel no longer moves in one direction
  2. Social commerce is creating demand before the retailer sees it
  3. Agentic commerce breaks traditional signals
  4. What to do now

The funnel no longer moves in one direction

Retail media was built on a tidy assumption: a shopper sees an ad in an owned retailer environment, then converts in that same environment. That assumption is weakening. Discovery, consideration and purchase can now collapse into a single moment on TikTok Shop, in an AI agent’s checkout flow, or across multiple retailers.

“The traditional idea of a static media funnel has significantly evolved,” said Moody Khan, VP, RMN measurement strategy at Circana. “There was a heavy focus on engaging shoppers and driving them down the funnel. It’s not that this doesn’t exist anymore, but there are moments where the funnel collapses.”

For marketing teams, that means the old playbook—optimizing for last click inside a single retailer—keeps missing the value created elsewhere.

Social commerce is creating demand before the retailer sees it

TikTok Shop illustrates the shift. Circana data puts TikTok Shop at $11 billion in Q1 2026, about 1% of total retail sales and 3% of e-commerce sales. The platform blends story-led inspiration and frictionless checkout, so discovery and purchase happen in the same session.

The challenge for retail media networks, says Circana’s Kiara Barrett, is that retailers no longer have exclusive ownership of commerce data. Social platforms are introducing shoppers to brands they would not have considered before, but marketers are still asking the same question: how do we attribute that demand?

Agentic commerce breaks traditional signals

AI agents add another layer. Circana’s consumer panel found that 70% of respondents use AI agents for search and discovery, 48% for recommendations, and almost 50% for task offload. That pulls decision-making even closer to the point of purchase—and further away from viewable impressions, clicks and cookies.

“When we start thinking about agentic commerce, these agentic transactions might not carry any of the traditional ad tech signals,” Khan said. “So we have to reimagine the entire architecture of how retail media measurement was built.”

What to do now

Advertisers should treat unified measurement as an infrastructure problem, not a reporting problem. The shift is from media KPIs to business outcomes, with purchase data as the source of truth. Instead of asking whether a placement drove a click, ask whether it drove incremental sales across the total market.

  • Audit attribution gaps: Map where social, agentic and retailer-reported sales are being credited—or missed.
  • Adopt incrementality and cross-retailer lift: Replace single-retailer, last-click reads with total-market purchase data.
  • Bring in third-party measurement: Validate rest-of-market behaviour so a buyer who looks new-to-brand at one retailer is not miscounted.
  • Prepare for agentic signals: Test how your measurement stack will work when a purchase has no click, view or cookie.

The brands that move early can build a cleaner feedback loop across fragmented journeys. Those that wait will keep optimizing against an incomplete picture.

Source: Digiday

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Marketing Junkies Desk

Marketing Junkies covers agency moves, campaigns, martech and adtech launches with an Indian and global lens. Every story is written from a named source and links back to it.