USA
EMAIL
PHONE
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
How an E-commerce Brand Gained Customer Insights by Extracting Coupang Product Reviews
E-commerce brands leveraged automated tools for extracting Coupang product reviews, gaining real-time customer insights to optimize products and boost strategy.
How Brands Use Data Pipelines to Scrape Product Price and Item Info from Newegg for Competitive Pricing Insights
Brands leverage automated pipelines to scrape product price and item info from Newegg, enabling real-time competitive insights and smarter pricing decisions.
How Retailers Extract Data from Website to Excel to Optimize Pricing Strategies
Discover how retailers extract data from websites to Excel, enabling real-time pricing analysis, competitive insights, and optimized revenue strategies.
How Businesses Scrape Bing Web Search Results to Improve Market Research Efficiency
Discover how businesses scrape Bing Web Search Results to gain faster market insights, streamline research, and enhance data-driven decision-making.
Data-Driven Insights from Etsy Using Etsy scraping with Python for Product Information, Categories, and Reviews
A case study demonstrating how Etsy scraping with Python delivers data-driven insights on product info, categories, and reviews for smarter marketplace decisions.
Scrape Walmart Grocery Product Data with Python to Monitor 80% of Bestseller SKUs and Weekly Stock Movements
Discover how Python was used to scrape Walmart grocery product data, tracking 80% bestseller SKUs and weekly stock shifts for pricing and inventory insights.
Scrape Amazon Product Details and Search Pages with Python – Track All Product Variants and Optimize Listings Through Data Extractions
Learn how to scrape Amazon product details and search pages with Python to track all variants, extract pricing, and optimize listings efficiently.
Maximizing Market Share - How D2C Brands Scrape Target Pricing Data for D2C Brand Insights to Outperform Competitors
Discover how D2C brands scrape Target pricing data for D2C brand insights to optimize pricing, boost sales, and outperform competitors in retail markets.
How Takealot Sales Data Extraction API Empowered Retailers to Optimize Pricing, Boost Conversions & Reduce Stockouts
Discover how retailers used the Takealot Sales Data Extraction API to gain real-time pricing insights, boost conversions, optimize stock, and reduce losses.
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.