Practical guides on e-commerce data for brand, pricing and data teams
Playbooks, analysis and how-to guides on competitor pricing, MAP enforcement, quick commerce intelligence and digital shelf analytics. No fluff, no vendor-speak — written for people who actually run data programmes.
What we're writing about
Inside the intra-day pricing of India's quick commerce apps
We tracked pincode-level prices on Blinkit, Zepto and Swiggy Instamart across 6 cities for 30 days. Here's what we found about how the three platforms reprice through the day, where they diverge, and what brands should actually monitor.
Read the analysis →Recent posts
What Are the Key Benefits of Quick Commerce & FMCG Data Scraping?
Quick Commerce & FMCG Data Scraping enables real-time market insights and competitive analysis and optimizes operational efficiency for agile decision-making .
What is the Role of Web Scraping in Sentiment Analysis?
Web scraping in sentiment analysis gathers real-time textual data from sources like social media to analyze public opinions efficiently.
Analyzing India's Top 10 Makeup Brands: Insights from Beauty Retail Data Scraping
Retail data scraping analyzed India's top 10 makeup brands by collecting pricing, discount, rating, and product range insights comprehensively.
What Insights Shein Data Scraping Offer for AOV and User Index?
Shein data scraping reveals trends in average order values and user engagement, which are crucial for understanding consumer behavior and market dynamics.
What Insights Can You Gain by Scraping Grainger's Catalog Data?
Scraping Grainger's catalog data enables businesses to gain competitive insights, optimize pricing, improve inventory management, and protect brand integrity.
How to Scrape Retail Mobile App Data for Digital Shelf Analytics Improvement?
Scrape retail mobile app data to leveraging digital shelf analytics, retailers can enhance customer engagement through optimized product strategies.
What Role Does Retail Data Scraping Play in Monitoring End-User Prices?
Retail data scraping is crucial in monitoring end-user prices. It collects detailed pricing information to inform strategies.
How E-commerce Price Scraping And Matching Drive Competitive Strategies?
E-commerce Price Scraping & Matching enable businesses to optimize pricing, analyze competitors, and enhance market strategies for growth.
How do Businesses Leverage Competitor Analysis Data to Stay Competitive?
Competitor Analysis Data helps businesses understand market dynamics, refine strategies, anticipate trends, and make informed decisions for competitive advantage.
Longer guides, playbooks and reference docs
The longer-format pieces — downloadable playbooks, comparison guides and reference material. Bookmark-worthy.
The Competitor Pricing Playbook
A 30-page guide to running a continuous competitor-pricing programme — scoping, matching, refresh cadence, and tying it to pricing decisions.
MAP Enforcement: From Detection to Takedown
The end-to-end MAP playbook covering detection, evidence gathering, takedown workflow and the legal posture brands take across regions.
India Quick Commerce: 2026 Data Report
30-day analysis of Blinkit, Zepto and Instamart across 6 cities — pricing patterns, assortment overlap, and pincode-level availability.
Managed Data vs SaaS: Buyer's Comparison
An honest comparison of managed data services vs SaaS pricing/MAP tools — when each is the right answer for brand and data teams.
Digital Shelf Metrics That Matter
A reference list of the 14 digital shelf metrics brands actually track — definitions, what they measure, and the common misreadings.
API vs CSV vs Dashboard: Picking the Right Delivery Format
How brand, pricing and data teams choose between API, file delivery and dashboard for marketplace data — with real-world trade-offs.
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E-commerce data trends, MAP enforcement tips, quick commerce moves, and one good chart — every month, written by our team. No vendor pitches in the body. Unsubscribe in one click.
Topics & tags
Jump straight to the topic that matters — we tag articles, guides and resources by subject.