DoorDash Ads launched three new targeting capabilities for CPG brands advertising on its delivery platform: interest targeting, retailer targeting, and category share insights, according to the company's announcement. The move gives packaged-goods brands precision tools previously reserved for digital platforms, now deployed inside a grocery delivery funnel where purchase intent is already active.
The mechanics are straightforward. Interest targeting lets a brand show ads to users based on browsing and purchase behavior—someone who buys organic snacks sees organic snack ads. Retailer targeting narrows delivery to specific chains, so a brand can push a promotion only at Safeway or only at Whole Foods. Category share insights surface how a brand performs relative to competitors within a product category, letting marketers allocate spend where they trail or double down where they lead. All three layers run on DoorDash's first-party shopper data, built from actual cart behavior rather than inferred intent.
This works because DoorDash controls the last mile of discovery and the transaction. A shopper opening the app to order groceries is already in buying mode. Traditional CPG advertising interrupts; this intercepts at the moment of need. The brand doesn't pay for awareness—it pays for placement when someone is assembling a cart. The interest layer ensures the interruption is relevant. The retailer layer aligns the ad with the store where the brand has distribution or a promo running. The category share data closes the loop, showing whether the spend moved volume relative to the competitive set.
The steal for a small physical-product brand is to locate your own high-intent, transactional surface and layer behavioral context on top. If you sell a consumable product, identify the platform where your buyer is already shopping—Amazon, Instacart, a DTC marketplace, even your own site. Then segment your ad spend or promo budget by observed behavior: repeat buyers versus first-timers, cart abandoners versus converters, users who bought a competitor last time. Most platforms offer some form of this segmentation; you just have to ask for it or export the data yourself. On Amazon, use Sponsored Products with category targeting and daypart your spend to when your segment converts. On Shopify, build a quiz or preference center that tags users by interest, then retarget by email or SMS with product recs that match. On Instacart or Walmart.com, run retailer-specific promos timed to your in-store placement. The principle is identical: narrow the audience to people demonstrating purchase intent in your category, show them your product at the exact retailer or context where they can buy, and measure share shift rather than impressions. Budget: $300 to $1,500 per retailer per month, depending on platform minimums, mostly reallocated from broader digital spend that wasn't closing.
The broader pattern is the collapse of the ad-to-aisle gap. As more grocery and consumable purchases migrate to delivery platforms, the platforms monetize by selling the margin between discovery and checkout. For CPG brands, this is expensive but measurable. For smaller brands, it's a reminder that the best ad is the one placed inside the buying journey, not adjacent to it. Find where your customer is already shopping, segment by behavior, and buy the moment.