DoorDash launched three new ad-targeting features for CPG brands: interest targeting, retailer-specific targeting, and category share insights, according to the company. The move gives packaged-goods marketers the ability to segment delivery-app shoppers by declared interests and by which retailer they are browsing, turning a transactional platform into a precision media channel that sits inside the purchase path.
The mechanics are straightforward. A brand running a DoorDash Ads campaign can now select interest categories — home cooking, fitness, organic — and show ads only to shoppers who have signaled those preferences through their browsing or purchase history. Retailer targeting lets a brand advertise exclusively within a single grocer's storefront on DoorDash, so a salsa brand can run one creative for Safeway shoppers and another for Whole Foods. Category share insights surface the brand's share of sales within its category on DoorDash, giving marketers a dashboard for competitive position at the point of digital fulfillment.
This works because DoorDash owns the moment when a shopper is already committed to buying groceries, not browsing Instagram or reading a recipe blog. The ad appears while the shopper is building a cart, which means intent is high and the gap between impression and conversion is seconds. Interest targeting sharpens that further: instead of showing oat milk to every shopper in a zip code, the brand reaches only those who have previously bought plant-based products or flagged interest in wellness. Retailer targeting addresses the distribution reality that most CPG brands do not have uniform placement across all grocers on the platform. A brand strong at Target but thin at Kroger can concentrate spend where its shelf presence is deepest, avoiding waste on clicks that lead to out-of-stock pages.
The steal for a small physical-product brand is to start with retailer targeting on a modest daily budget, treating DoorDash Ads as an extension of in-store placement rather than a separate media buy. Identify the two grocers where your product has the best shelf position and lowest out-of-stock rate. Set up separate campaigns for each retailer, with creative that mentions the store by name. Allocate $15 to $25 per day per retailer to start. Monitor conversion rate and cost per sale daily. If one retailer converts at half the cost, shift budget there and use the learning to guide your next in-store distribution meeting. Layer in interest targeting once you have baseline performance: choose one interest category that aligns with your product's actual purchase occasion, run it for a week, and compare conversion rate to the untargeted baseline. If the lift is real, keep it. If not, drop it and test another category. The platform's category share data tells you whether you are gaining or losing ground against competitors in real time, which is faster feedback than most trade data dashboards.
DoorDash Ads now functions as both a demand-generation tool and a distribution diagnostic. The brand that uses it well treats the ad spend as a test of where its product actually moves, not just where it sits on a shelf.