The brief
The brand was doing strong DTC numbers and had a healthy Amazon presence, but Blinkit had been flat for nine months. Three protein incumbents were taking 60%+ of the category share between them. The founders had been told that Quick Commerce was a "different consumer" and that the brand was simply mispriced for the channel. Neither was true.
What we found in the audit
The Datum cut on protein bars on Blinkit showed the real story. The brand was not mispriced. It was misformatted. Every SKU was a 60g single-serve bar at Rs. 99 to Rs. 119, identical to the DTC-and-Amazon offer. The category leaders were running 4-pack and 6-pack multi-bar SKUs at Rs. 350 and Rs. 480, where the per-bar price was lower but the basket value was 4x.
The Blinkit consumer was not buying protein bars as impulse snacks. They were stocking the pantry for the week. The single-serve SKU was simply the wrong unit for the channel.
What we built
SKU mix reset for Quick Commerce
We launched 6 multi-bar SKUs (4-pack, 6-pack, 12-pack) at price points calibrated to the category. The single-serve SKU stayed live as a trial unit but stopped being the lead listing. Within 60 days, multi-packs accounted for 78% of GMV.
Repricing for impulse threshold
We benchmarked the price gap between the brand and the category-leader incumbents. We held a 4-7% premium (matching the brand's positioning) but eliminated the 22% gap that was costing us share-of-basket in mixed-protein orders.
Category-share campaign on Blinkit
Sponsored placement and search ads ran specifically against the top-3 incumbent brand keywords. Not against the category head term ("protein bar"), which was uneconomic, but against the brand-name searches where consumers were already in market. Conversion was 3.4x category average.
Hyper-local rollout, not national
We ran the category-share play in 6 high-protein-density pincodes in Delhi NCR and Bengaluru first. Once unit economics stabilised, we expanded to 20 pincodes, then nationally. The pincode-by-pincode sequencing kept ad efficiency above 4x throughout.
The 6-month timeline
What changed in the numbers
The 11.2x GMV growth was not driven by ad spend. Total ad spend across the 6 months was 2.1x baseline, which means organic and merchandising lift accounted for the remaining growth. Repeat purchase within 30 days hit 42%, proving that the multi-pack format was solving a real consumer need rather than just inflating the basket size on paper.
The most consequential number is share of category. The brand moved from outside the top 10 to #2 in six months. That is the kind of positional move that compounds for years on Quick Commerce because the platform's discovery surface rewards top-share brands disproportionately.
We were stuck at flat sales for nine months. The pack-mix reset alone got us to 4x in the first quarter.
Founder, Protein D2C Brand
The takeaway for other brands
Quick Commerce is not a different consumer. It is a different basket-construction logic. The same product that wins as an impulse SKU on Amazon often loses as a single-serve on Blinkit because the consumer is solving a different problem. Pack-mix architecture is the single highest-leverage move on the channel, and it is the lever most brands skip because they assume their existing portfolio will translate.
Brand: Confidential. Category: Protein Bars on Blinkit. Source: Blinkit platform data, Datum Analysis. Brand identity withheld at client request.