Quick commerce for D2C brands: building the brand across the whole funnel
A practical playbook for using Blinkit, Zepto, Instamart and European rapid-delivery apps not just to sell, but to build a D2C brand from discovery to repeat purchase.
Rohan Saraf, ex-Google marketing leader

Quick commerce is often treated as just another sales channel: list the products, switch on ads, watch the ROAS. That leaves most of its value on the table.
On Blinkit, Zepto and Instamart in India, and on Glovo-style rapid-delivery apps in Europe, the app is where people discover products, compare them, buy them in minutes and buy them again. That's an entire funnel inside one screen, and for a D2C brand it can be one of the fastest places to build real brand demand.
I've run quick-commerce and marketplace media for food and FMCG brands, including Priya Foods, where brand keywords on Blinkit reached 33–46x ROAS. Here is the playbook I use, and the parts of it that carry over to Europe.
Why quick commerce matters for D2C brands
- Intent is high and immediate: people open the app to buy something now.
- The basket is small and frequent, so a brand that earns a place can be bought again within days.
- Search inside the app works like a mini search engine, with brand, category and competitor queries.
- Ads, listings, availability and price all sit on the same screen, so media and operations are tightly linked.
“I treat media, catalogue and availability as one plan.”
That last point matters most. On a quick-commerce app, the best campaign in the world fails if the product is out of stock in a dark store, priced badly against the shelf or shown with a weak listing. I treat media, catalogue and availability as one plan.
The funnel inside the app
- TOFU: category-level visibility, banners, sampling and new-launch placements that put the brand in front of people who don't know it yet.
- MOFU: non-brand and category search, where shoppers are choosing between options. Strong listings, ratings, pack shots and pricing win here.
- BOFU: brand search and repeat purchase, where people already know what they want and you make sure they find it fast.
The funnel inside a quick-commerce app
TOFU
Discovery
Category placements, banners, sampling, launches
MOFU
Choice
Non-brand search, listings, ratings, price
BOFU
Purchase + repeat
Brand search, availability, repeat offers
Off-app channels still matter. Social, creators and video create the awareness that later shows up as brand searches inside the app. For a D2C brand, that loop is the point: build demand outside, capture it inside, and watch brand search grow over time.
Lesson 1: split brand, non-brand and competitor from day one
For Priya Foods on Blinkit, the split told the whole story. Brand keywords ran at 33–46x ROAS, non-brand around 5x (4.8–5.0x) and competitor terms at 0.7–1.0x. In April 2026 the blended result was 3.74x, turning ₹5.07L of spend into ₹18.98L of revenue across 16,388 units. The blended number was fine, but the split showed exactly where to protect, where to grow and where to cut.
Blinkit ROAS by keyword layer (Priya Foods)
- Protect brand: it's the cheapest revenue and a signal of brand health. Losing those placements to a rival is expensive.
- Grow non-brand: this is where new customers discover you. Judge it against its own target, not brand's.
- Test competitor terms with a strict threshold, and cut them when they don't pay for themselves.
Lesson 2: manage each platform on its own numbers
Platforms behave differently, even in the same city and category. For Priya Foods, Blinkit ran around 7.1x overall and BigBasket 5.86x, while Zepto needed work: 3.1x in one week and 1.9x the next. Blending them would have hidden the problem. Instead, Zepto got its own diagnosis covering keywords, bids, listings and availability, while budget followed the platforms that were returning more.
ROAS by quick-commerce platform (Priya Foods)
Single keywords can look spectacular. One tomato-related keyword returned around 70x for Priya Foods, but I treat a result like that as an illustration of what strong intent and the right listing can do, not as a number to plan around. Plans should be built on the stable layers, not on outliers.
Lesson 3: listings and availability are part of media
- Titles and images that match how people search, with pack size and key benefit visible at thumbnail size.
- Prices that make sense next to the shelf, including pack-size and combo options.
- Ratings and reviews actively managed, because they decide MOFU comparisons.
- Stock tracked by dark store or city, with ads paused or reduced where availability is low, so money isn't spent on products people can't buy.
Lesson 4: build repeat, not just first orders
Quick-commerce baskets are small, so the economics only work when people come back. I look at repeat behaviour through brand search trends, retargeting where the platform allows it, and offers designed for the second and third purchase rather than just the first. A rising share of brand search is usually the clearest sign that the brand is building, not just buying sales.
Taking the playbook to Europe
In Europe, rapid-delivery apps such as Glovo and similar services play a comparable role in many cities, alongside supermarket delivery and retail media networks. The market has changed quickly, so the first step is always to check which platforms actually operate in each target city and what ad formats they offer. The principles carry over well:
- Split brand, category and competitor search wherever the platform reports it.
- Manage each platform and city on its own numbers.
- Treat listings, pricing and availability as part of the media plan.
- Respect GDPR and consent rules when connecting app data with your own first-party data and server-side tracking.
Measurement that connects the app to the brand
Platform dashboards show ROAS inside each app. That's necessary but not enough. I bring spend, revenue, units and availability from every platform into one view next to the brand's own channels, so a D2C team can see how off-app awareness, in-app search and repeat purchase connect.
That's the same single-source-of-truth approach I use for wider media plans, and the reason the Del Monte account could move from 3.4x to 8.3x ROAS in about six months: decisions were based on clear, comparable numbers.
A 90-day quick-commerce plan
- Weeks 1–2: audit listings, pricing and availability; set up brand, non-brand and competitor campaigns separately on each platform.
- Weeks 3–6: protect brand, test non-brand by category, apply strict thresholds to competitor terms; fix the weakest platform first.
- Weeks 7–10: scale the lines above target, expand to new cities or dark stores where stock allows, add launch and sampling placements.
- Weeks 11–13: review brand search growth, repeat behaviour and blended contribution margin; reset targets for the next quarter.
90-day quick-commerce plan
Weeks 1–2
Audit listings, price, stock; split campaigns
Weeks 3–6
Protect brand, test non-brand, fix weakest platform
Weeks 7–10
Scale winners, new cities and dark stores
Weeks 11–13
Review brand search, repeat, margin
Where to start
If you're already on quick commerce and only see a blended ROAS, the fastest win is usually the split. My Media Plan + Audit breaks your quick-commerce spend down by platform and by brand, non-brand and competitor, and gives you a clear list of what to protect, grow and cut.
Can quick commerce build a brand, or is it only for sales?
It can build a brand. Category placements and non-brand search introduce new shoppers, and brand search and repeat purchase show whether the brand is growing. Combined with off-app awareness, it covers the whole funnel.
What ROAS should I expect on Blinkit or Zepto?
It varies by layer and platform. For Priya Foods, brand keywords on Blinkit reached 33–46x, non-brand around 5x and competitor terms 0.7–1.0x, with a blended 3.74x in April 2026. Set separate targets for each layer.
Does this work in Europe?
The principles do: split search by intent, manage each platform and city separately, and treat listings and availability as part of media. Check which rapid-delivery apps operate in each city and follow GDPR and consent rules.
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