DoorDash launched three new advertising tools in January 2025 that let CPG brands target shoppers by interest, choose specific retailers, and see category share data inside the app, according to a company announcement. The move positions DoorDash as a challenger to Amazon Ads and Instacart's retail media networks by offering granular audience targeting without requiring brands to sell through a single retailer.
The interest targeting feature lets advertisers reach users based on past purchase behavior and browsing patterns across DoorDash's platform, which includes grocery, convenience, and restaurant delivery. Retailer targeting allows brands to show ads only to shoppers browsing specific stores, and the category share dashboard shows a brand's sales performance relative to competitors in real time. All three tools run inside DoorDash's self-service ads platform, which the company says now reaches 37 million monthly active users across the United States, per the announcement.
The play works because it solves the attribution problem that has kept CPG brands from spending heavily on non-endemic channels. Traditional digital ads drive awareness but rarely prove they moved product off a shelf. DoorDash connects the ad impression to the basket within the same session, often within minutes. A shopper sees a sponsored listing for a protein bar while browsing a CVS on DoorDash, adds it to cart, and completes checkout without leaving the app. The brand sees cost-per-acquisition in hours, not weeks, and the closed-loop data flows back into campaign optimization automatically. Retail media networks like Amazon and Walmart have trained brands to expect this, and DoorDash is replicating the model across thousands of retail partners instead of one.
The category share insight is the unlock for brand managers who report to executives fixated on market position. Seeing that your granola holds 12% share in the snack aisle at Whole Foods on DoorDash, while the category leader sits at 19%, creates a clear mandate to increase ad spend in that retailer. It also exposes white space: if your product has low share in convenience stores but high share in grocery, you now know where to suppress spend and where to double down. Most brands run blind on delivery platforms, relying on syndicated data that arrives weeks late and aggregates all channels into one number.
For a small physical-product brand, the steal is straightforward. Set up a DoorDash Ads account and launch one retailer-targeted campaign at a retailer where your product already has distribution. Allocate $500 for the first month. Use interest targeting to reach shoppers who have purchased adjacent products: if you sell hot sauce, target buyers of tortilla chips, salsa, or meal kits. Write ad copy that assumes immediate intent: "Add to your order" or "In stock now at [Retailer Name]". Track cost-per-order daily and kill underperforming ad groups after three days. The advantage over Amazon Ads is that you are not competing against the retailer's private label in the same auction, and you can run campaigns across multiple retail banners simultaneously without separate negotiations. If your product is in ten regional grocery chains, you can now target all ten with one dashboard and see which locations convert.
The broader pattern is the fragmentation of retail media. Brands spent years consolidating digital budgets into Amazon because it was the only platform that closed the loop from impression to sale. Now Instacart, Uber Eats, Gopuff, and DoorDash all offer the same closed-loop measurement, and each controls a different slice of purchase intent. A brand that splits its digital budget across four delivery platforms instead of putting everything into Amazon can capture shoppers who never open the Amazon app, and the incrementality is provable in the platform dashboards. The next six months will reveal whether DoorDash can pull enough CPG spend to make these tools standard in media plans, or whether brands treat delivery ads as a test budget that never scales.
The takeaway
DoorDash now lets CPG brands target by shopper interest and see category share data, offering closed-loop attribution across thousands of retailers.
Two hundred brands. Eight months on the desk. $0.003 an impression.
The branded-identity layer Chiefs of Staff and heritage CMOs route through — imprinting on real authorized stock for Nike, YETI, Patagonia, The North Face, Carhartt, Stanley, Peter Millar, TUMI, Montblanc, Moleskine, Waterford, and 190 more. Nine editorial desks publish the intelligence those operators read before they sign: The Stash Edge, Markets Edge, Sports Edge, Voyage Edge, Black's Edge, House Edge, the Article Engine, Ramen, and Fending.
$0.003per impression · vs ~$0.007 digital CPM
8 monthson the desk · vs 0.8s for a digital ad
200+authorized brands · Nike · YETI · Patagonia
9 deskspublishing daily · since 1997
70,000 SKUs · virtual proof in 60 seconds · no platform fee · blind-shipped · ASI #217876
Your next customer won't visit your website. Their AI will.
AI assistants have quietly taken over the first step of buying — they answer from catalogs they can read and shortlist whoever can actually ship. Two questions now decide whether you exist to that buyer: can a machine read your catalog, and can you fulfill the order. Most brands fail one or both and never find out why the orders went elsewhere. The winners of this shift aren't the loudest. They're the most readable. Build for the machine that's about to do the shopping.
Built by the craft floor — apparel, media, packaging, and secure print.
This trade runs on hands, not desks. Imprint manufacturing & Komori Press · Canon high-speed secure-media operations is a craft floor — genuine Six Sigma discipline applied to ink, thread, foil, and registration, where a hundredth of an inch is the difference between a brand that reads serious and one that reads cheap. POPS4 is built by exactly those operators: independent, boots-on-the-ground engineers who carry their own book, read a client in microseconds, and put their name on every run. Beyond our own Virginia Beach floor, we work with a vetted network of craft manufacturers across the US — each meeting the highest excellence in QC standards in the industry, each a specialist in its own discipline — so apparel, hard-goods imprinting, media manufacturing, packaging, and secure printing all go to the bench built for them, coordinated from one accountable hub. Short-run from twenty-five units, volume to five hundred thousand. Two hundred authorized national brands, seventy thousand SKUs with virtual proofing on every one. Art archived for instant reorders. Net-thirty corporate terms, NDA-standard white-label — your name on the work, or none at all.
Strategy, positioning, identity, creative, and messaging — wired into an AI system that publishes and distributes on its own. Nine editorial desks generate the authority, the production house ships the physical proof, and the attribution layer tells you which post sold which SKU. What you get is an operating layer — content, catalog, and order path under one roof — that keeps working whether or not you are in the room. Built for principals who would rather own the machine than rent the agency.
Named-account programs — one desk, quiet delivery, NDA-standard.
One point of contact who already knows the file, so nothing restarts from zero between engagements. The work ships blind, under NDA, with your name on it or none at all. Built for single-family offices, heritage-house CMOs, sports-ownership groups, and the agencies that white-label our production. The relationship is the product; the merch is the proof of it.
SFO · Chief of Staff desk. Principal household, properties, aircraft, yacht, calendar, philanthropy — one file.
Shop seventy thousand products. Virtual proof on every one. 24/7.
Drop your logo on any product and see the virtual proof before asking. Quote routes direct to the desk. MCP catalog for AI agents. Celeste for the fast conversation. Full self-service checkout in development.