From goals to gains.
Real engagements across our three levers — measured causally, caveats stated. Pick a story to dive in, or download the full case study.
Inventory prioritization
75% of SKUs overstocked, 36% that won't sell. We turned stock-health signals into an approval-ready PO list.
Promo & pricing
From a national-flat discount to City × SKU rates. Less discount, more revenue — measured causally.
Ad effectiveness
Hourly ROAS exposed ₹4,688 of waste inside a ₹2,000/day cap. Bid up the winners, pull the dead hours.
Same budget, +32% revenue.
Leading plant-protein brand · Blinkit Product-Booster · ₹2,000/day cap · single SKU · 22 days.
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₹31L/yr in margin, recovered.
Leading organic-staples brand · Blinkit · 69 SKUs × 250 cities · 17-day pilot · Control + Test 1 + Test 2.
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“That's not inventory. That's locked-up capital.”
Q-com brand · multi-WH · stock-health × DRR → approval-ready PO list.
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Steal our playbooks.
Practical, lever-by-lever guides our team runs on live accounts. Download one — we'll send it over after a quick intro.
The hourly ROAS playbook
How we find wasted ad spend inside a daily cap and reallocate to winning hours.
The promo elasticity playbook
Decompose revenue, measure pass-through, optimize City × SKU rates causally.
The stock-to-PO playbook
Turn stock-health and DRR signals into an approval-ready dispatch list.