Sneaker retail case study · 2019 to present
A ₹5 crore-a-month drop engine at 25+ ROAS
Limited sneaker releases turned into repeatable, inventory-aware growth by preparing demand before a drop, managing it live, and preserving it after stock ran out.
Sneaker retailResults
- 25+
- Paid-media ROAS
- 300%
- Revenue growth
- ₹5Cr
- Monthly revenue
The challenge
In limited-release retail, more demand can create more waste. Campaigns began learning on drop day, and budget kept running against sizes and products that had already sold out.
The strategy
Treat every release as a three-stage demand system — prepare, run, preserve — so media went live already qualified and inventory signals could steer spend in real time.
How it was executed
- 01
Planned releases from brand, model, size, price, city, and customer-history signals.
- 02
Used community and editorial engagement to build demand without forcing every interaction into a conversion campaign.
- 03
Took media live against a pre-qualified audience rather than starting the learning phase on drop day.
- 04
Let size and stock availability influence spend while a launch was still active.
- 05
Cut acquisition budget on sold-out products before a reporting cycle could surface the waste.
- 06
Routed customers who missed a release into waitlist, restock, store, and adjacent-product journeys.
- 07
Carried reusable customer intelligence from each drop into the next launch.
Related services
Services that supported the outcome.
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