Our best writing on competitive intelligence — where it breaks, what it actually costs, and what fixes it. Based on 20 years of scraping 500+ e-commerce sites.
Competitor Price Monitoring — Final price after coupons, cart discounts, shipping, and app-only offers. Not the listed price — the price your customer actually pays.
MAP Monitoring — Price violations with legal-ready evidence: screenshot, URL, seller, timestamp, final price after discounts.
Buy Box Monitoring — Price violations with legal-ready evidence: screenshot, URL, seller, timestamp, final price after discounts.
Product Matching — Match products across sites using rules, AI, and human review. Confidence scores and reasons for each decision.
Assortment Tracking — Identify gaps and overlaps across sites by brand, category, and product. See what competitors stock that you don't.
Variant-Level Tracking — Prices by SKU and variant — size, color, capacity — across competitors. Not just the default price.
Price History — Past price changes over time. Understand competitor patterns, promotional cycles, and pricing strategies.
Regional Price Tracking — Prices across countries, regions, and sales channels. Detect price leaks and unauthorized distribution.
Portwest — Safety Brand — From Zyte's 60% success rate to complete coverage across 400 sites in 15 countries. Found 700+ unauthorized sellers.
Luxury Fashion Marketplace — 50% to 98% assortment coverage. 120+ hours/week saved across 20 account managers. "You have 29 Gucci. Average is 258."
Landmark — Furniture Retail — 30–40% missing data eliminated across 56,000+ products. 6 hours/week of scraper maintenance to zero.
Animates — Pet Retail — Switched after Import.io failed on their key competitor. All 4 pricing tiers now captured. Five years and counting.
Asiatic — Rug Manufacturer — Documented MAP violations across 8 retailers. Stopped two chronic violators with legal-ready evidence.
CraigsIP — Equity Research — Award-winning analyst replaced 4 hours/week of manual price checks with scheduled data.
Partial Data — The problem isn't low coverage. It's not knowing what's missing — so every decision built on the data is a guess.
Match Failure — Product matching is where competitive intelligence breaks. One wrong match means a wrong decision.
Untrusted Data — If your team verifies before acting, the dashboard isn't intelligence — it's a reference tool.
Scale Limits — DIY scraping works at small scope. Then blocks, bans, and maintenance pile up. The warning signs and your options.
Hidden Labor — The subscription is the visible cost. The weekly cleanup, exports, and firefighting is the real one.
Wasted Expertise — Ecommerce leads spending hours on CSV exports instead of strategy. How to fix ownership.
Why Managed Service — The honest comparison: DIY vs SaaS dashboards vs managed service. When each makes sense. When each doesn't.
Trapped Data — Many tools make it easy to view data but hard to export it. What to look for — and the hidden catches.
Unpredictable Costs — Usage-based pricing sounds flexible until month 2 costs double month 1.
