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On the wire
The Stash EdgeWELL POUROctober 30, 20263 min readAd-free

Jobs-to-be-Done Metrics: Why Retail Insider Says Measure the Work, Not the Watcher

Marketing reports shift focus from demographics to functional outcomes — the product's job for the customer.

Jenny Huang Goodman MPA MSc MHSAThe Stash Edge · Huang GoodmanSource: Retail Insider ↗
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In plain words

Measure the job your product completes for the customer, not the demographic that might see the ad.

43%
of retail media buyers say they underuse in-store media

Retail Insider's recent marketing report argues that brands should measure what a product does for a customer, not just who sees the ad. The shift tracks with a broader industry recalibration: 43% of retail media buyers say they underuse in-store media, according to an IAB study reported by PPC Land, and campaigns measuring functional lift — like Love's Retail Media driving measurable beverage sales, per Convenience Store News — are proving the point. The premise is simple: audience demographics tell you who might buy; jobs-to-be-done metrics tell you why they actually did.

Retail Insider's position frames marketing measurement around the job the customer hired the product to do — the functional, emotional, or social outcome they sought. Instead of tracking impressions or reach among 25-to-34-year-old women, brands measure how many customers used the product to solve a specific problem: faster meal prep, fewer decision points at checkout, a gift that signals care without risk. The Shelby Report's coverage of full-funnel retail media campaigns shows marketers now see in-store media not as a targeting layer but as a performance channel tied to the job the product fulfills at the moment of selection.

Why it works: jobs-to-be-done measurement aligns campaign optimization with the actual purchase trigger. A customer scanning a shelf isn't filtering by their own age or income bracket — they're filtering by the job they need done right now. When Love's Retail Media ran campaigns that drove beverage lift, the success metric wasn't impressions among commuters; it was the measurable increase in units moved among people who needed a cold drink during a fuel stop. That outcome-based metric lets marketers iterate on messaging, placement, and offer structure rather than just refining audience segments. The jobs framework also surfaces non-obvious competition: a protein bar competes with a breakfast sandwich, not just another bar, because both solve the same morning-fuel job.

The operational advantage is tighter feedback loops. Demographic targeting requires multi-touch attribution models and long conversion windows. Jobs-based measurement ties campaign activity to near-term functional outcomes: did the endcap placement help shoppers complete the "quick dinner solution" job, yes or no, measured in basket data. Retail media platforms now offer this granularity — PPC Land notes that in-store media remains underused despite buyer interest, largely because legacy measurement frameworks don't capture the job completion signal available at point of sale.

The steal for a small physical-product brand: rewrite your campaign briefs and creative testing around one job your product does better than anything else. If you sell a reusable water bottle, the job might be "stay hydrated during a commute without spillage" or "replace single-use plastic without sacrifice." Run two creative variants — one demographic-targeted ("eco-conscious millennials"), one job-targeted ("never spills in your bag") — and measure conversion rate, not impressions. Use post-purchase surveys (one question: "What problem were you solving when you bought this?") to validate the job hypothesis. Adjust product photography, ad copy, and placement to surface the job outcome: show the bottle upright in a tote, not a lifestyle shot on a mountain. Track repeat purchase rate as a job-satisfaction proxy. Cost: survey tools start free (Typeform, Google Forms), creative testing runs on existing ad spend, and the measurement shift is a reporting column, not a new platform.

For in-house teams with budget, layer jobs-based segmentation into retail media buys. If you sell snacks, bid on in-store placements near checkout for the "afternoon energy without a meal" job, and measure lift in units per transaction during 2-4 PM. Use retail media platform data to isolate baskets where your product completed a multi-item job (snack plus beverage for a road trip) and build bundles or cross-promotions around that pairing. Test messaging that names the job ("when lunch is five hours away") against generic benefit claims, then read basket composition to see which drove incremental attachment. Negotiate with retail partners for jobs-based reporting: not just "how many impressions in the snack aisle," but "how many baskets included our product as part of a specific purchase mission." The IAB finding that 43% of buyers underuse in-store media suggests negotiation leverage — retailers want proof that the medium works, and jobs-based measurement provides it.

The pattern extends beyond retail media. Jobs-to-be-done measurement turns every campaign into a hypothesis test about customer motivation, and every sale into a data point proving or disproving the hypothesis. Brands that measure the job unlock faster iteration, clearer positioning, and product development signals that demographics alone never surface.

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For the principal

Run one-question post-purchase surveys asking what problem the customer solved, then rewrite ad copy around the top answer.

For the operator

Negotiate jobs-based reporting with retail media partners: measure basket lift for specific purchase missions, not just aisle impressions.

For the house

Source products by the jobs your buyers hire them to do, then test messaging that names the job outcome explicitly.

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Sources and method
  • Primary report: Retail Insider, October 30, 2026.
  • Written with artificial intelligence from public sources and published without individual human review. Corrections: jenny@pops4.com.
jobs-to-be-doneretail mediaperformance measurementin-store marketingconversion optimization

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