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Target three retailers with identical DoorDash ads, measure category share per retailer, kill losers, double budget on the winner monthly.
$500
across three retailer targets where you hold distribution
DoorDash announced new targeting and analytics features for its advertising platform, including category share insights that show CPG brands which retailer drives the highest share of purchases in their category, according to DoorDash. The addition gives physical-product marketers visibility into where their ad dollars convert into actual basket share versus where they subsidize a competitor's distribution advantage.
The platform now offers interest targeting, retailer targeting, and category share metrics. Brands can target shoppers based on expressed interest signals and select specific retail partners for their campaigns, then measure which retailer delivers the most efficient share gain. DoorDash reports the features help brands optimize spend across its retail network, which includes grocery chains, convenience stores, and specialty retailers.
The mechanism matters because delivery aggregators sit between the brand and the purchase decision in a way traditional retail media does not. A shopper opens DoorDash intending to order from Whole Foods, sees a promoted product from a CPG brand, but completes the purchase at CVS because that retailer stocks a competing SKU at a lower price. Without category share data, the brand pays for the impression but never knows the conversion leaked to a competitor at a different retailer. The new insights surface that leakage, letting marketers shift budget to retailers where their distribution and pricing actually close the sale.
Category share tracking also exposes a structural advantage smaller brands rarely exploit: moments when a larger competitor is out of stock or delisted at a specific retailer. If a national brand loses placement at a regional grocery chain, a challenger with distribution at that same chain can target DoorDash shoppers who historically bought the incumbent, then measure share gain in real time. The data becomes a proxy for velocity without waiting for syndicated scanner reports that lag weeks behind the purchase.
The steal for a small physical-product brand is to treat DoorDash Ads as a test-and-allocate system, not a broad awareness play. Start with $500 across three retailer targets where you hold distribution: one grocery, one convenience, one specialty. Run identical creative and interest targeting to each retailer for two weeks. Use category share insights to identify which retailer converts your ad into the highest share of category purchases. Kill the other two, double budget on the winner, and repeat monthly. Track cost per share point, not cost per click.
The second move is to use retailer targeting to create exclusivity pressure. If you distribute through a regional chain that competes with a national grocer, run DoorDash ads only to that regional chain's shoppers during a stock-out or promo window at the national competitor. The category share data will show if you're pulling purchases from the larger chain's loyal base. If the answer is yes, bring that data to your next distribution negotiation with the regional chain as proof you drive incremental traffic to their DoorDash storefront.
The broader pattern: aggregator ad platforms are becoming the only place a physical-product brand can measure cross-retailer purchase behavior in real time. DoorDash now reports which retailer wins the basket after the ad runs. That intelligence is worth more than the ad itself for brands deciding where to expand distribution or which retail partner to load with inventory ahead of a product launch.
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70,000 SKUs · virtual proof in 60 seconds · no platform fee · blind-shipped · ASI #217876
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