“The industry has long optimised for clicks, impressions, and view-through rates — metrics that were easy to measure and easy to treat as a proxy for success,” he says. “The infrastructure was built around what was trackable, not what was meaningful.”
The distinction is more important now because retail media has brought marketers closer to actual commerce signals without necessarily solving the question of causality.
The old model can tell marketers:
- Who saw the ad
- Who interacted with it
- Who eventually purchased
- Which channel received the credit
The harder questions are different:
- Who purchased because of the advertising?
- What would have happened without the campaign?
- Did the advertising create incremental demand?
- Did it influence a purchase outside the retailer’s own ecosystem?
That last question is particularly important. Consumers rarely organise their shopping lives around a single retailer, yet many measurement systems still do.
Della Penna argues that the growing availability of location and commerce data is beginning to change the equation. Instead of treating transactions as the end of an attribution chain, marketers can increasingly examine whether advertising generated incremental visits and purchases.
The shift sounds technical. In practice, it changes what marketers are allowed to call success.
Closed-Loop Measurement Still Has a Missing Link
Retail media has promised something traditional advertising struggled to deliver: a closed loop between exposure and purchase.
The proposition is compelling. A retailer knows what was advertised, who was exposed and, potentially, what that consumer bought. The distance between media and commerce appears to disappear.
But there is still a gap between seeing what happened and knowing why it happened.
“We’re closer than ever,” Della Penna says. “Retail media networks have real first-party purchase data, which is a great start — but that doesn’t mean they can automatically measure incrementality, or see purchases that happen outside their own siloed view.”
That distinction cuts directly into one of the industry’s most comfortable assumptions. A purchase following an ad is not necessarily a purchase caused by an ad.
A consumer who was already planning to buy may simply have been counted as a successful conversion. Meanwhile, a consumer influenced by an ad may purchase later, through another retailer, and disappear from the original measurement window.
True closed-loop measurement, therefore, needs more than a transaction log. It needs a counterfactual: what would this consumer have done if the advertising had never happened?
“Most closed-loop measurement today only explains what happened after an ad ran, not what happened because of the ad,” Della Penna says.
That is why incrementality has become such an important dividing line. It asks marketers to separate natural demand from demand that advertising actually created.
The implication is uncomfortable but useful. A measurement system should not simply reward the media closest to the sale. It should help establish whether the media changed the likelihood of the sale happening at all.
That requires broader purchase data, independent measurement and a willingness to look beyond the boundaries of a single retail ecosystem. In other words, the loop is only truly closed when it can account for what happened outside the loop.
The New Measurement Battle is Happening Inside the C-Suite
The pressure to solve this problem is not coming only from marketers.
Retail media has moved measurement closer to the centre of conversations about revenue, margin, customer acquisition and business growth. As a result, the audience for marketing performance has expanded. The CMO is no longer the only executive asking whether a campaign worked.
CFOs and boards want evidence that the investment created something the business would not otherwise have received. That changes the nature of the measurement debate.