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How brands use our data to win on price, protect their brand and grow on marketplaces
Real projects, real outcomes — from competitor pricing programmes to MAP enforcement and quick commerce intelligence. Each case shows the brief, the data we delivered and the measurable result.
A US consumer electronics brand cut competitor-pricing analysis from 2 days to 15 minutes
A mid-market electronics brand selling on Amazon US, Walmart and Best Buy was running pricing analysis manually. Two analysts spent every Monday checking 200+ priority SKUs across three marketplaces. By the time the report reached the pricing committee, competitor moves were already 4-5 days stale. They needed daily visibility without growing the team.
"We went from two analysts spending Mondays in spreadsheets, to a Monday-morning email with everything already matched and flagged. Now the pricing committee debates the response, not the numbers."
Results in 90 days
Across the case studies on this page
More client outcomes
Mobile Accessories Price War: A Dynamic Pricing Case Study Using Mobile Accessories Pricing Data
Mobile Accessories Pricing Data turned a race-to-the-bottom price war into a disciplined dynamic pricing strategy — protecting margin while holding competitive rank.
Competitor Stockout Intelligence: Turning Competitor Stockouts into Sales
Competitor Stockout Intelligence turned rival out-of-stock moments into captured demand - telling an electronics seller exactly when and where to push price and spend.
Real-Time Repricing Data: How an Electronics Seller Won the Buy Box 3x More Often
Real-Time Repricing Data helped an electronics seller win the Buy Box three times more often — by reacting to competitor moves in minutes instead of once a day.
Fragrance Pricing Intelligence: Benchmarking Perfume Pricing Across Beauty Marketplaces
Fragrance Pricing Intelligence across beauty marketplaces revealed a brand was priced right per bottle and wrong per millilitre — where the real comparison happens.
How an FMCG Brand Used Hyperlocal Flipkart Pricing Data Across 2,000+ Indian Pincodes
How an FMCG brand used hyperlocal Flipkart pricing data across 2,000+ Indian pincodes to expose price drift, find distribution gaps and lift tier-2 revenue.
Makeup New Launch Detection: Catching Competitor Drops Before They Trend
Makeup New Launch Detection surfaced competitor drops the week they listed — not the month they trended — giving a brand time to respond while it still mattered.
How Weekly Grocery Price Monitoring Across 28K US Stores Enabled Weekly Pricing Feeds for ~1,000 Grocery Items Across 50 US Grocery Chains
Weekly Grocery Price Monitoring Across 28K US Stores delivers real-time pricing insights from 1,000 grocery items across 28K US stores.
Home Furnishings Assortment Gap Analysis: Finding the White-Space a Furniture Brand Was Missing
A Home Furnishings Assortment Gap Analysis found the white-space a furniture brand was missing — the exact SKUs competitors listed that it did not, ranked to launch.
Mattress Share of Shelf Tracking Across Amazon, Flipkart, and Pepperfry
A Home Furnishings Assortment Gap Analysis found the white-space a furniture brand was missing — the exact SKUs competitors listed that it did not, ranked to launch.
By solution category
Commerce Intelligence engagements
Daily and hourly competitor pricing across US, UK, India and UAE marketplaces.
12+Digital Shelf programmes
Share of search, content audits, ratings and availability monitoring.
15+Brand Protection deployments
MAP enforcement, counterfeit detection and unauthorised-seller programmes.
9+Quick Commerce pipelines
Pincode-level Blinkit, Zepto and Instamart monitoring for FMCG brands.