Retail and ecommerce data collection for prices, products, and reviews Damco tracks the stores you compete with and matches every product correctly
Ecommerce data collection, from shelf to review Competitor, product, and customer data, matched to your own catalog
How retail and ecommerce data collection works The hard part is matching products, so a person decides the close calls
- Week 1Name the storesYou list the retailers, marketplaces, and categories to watch.
- Week 1Match your catalogWe match their products to yours by model, size, and pack.
- Each runCollectAgents capture prices, stock, and reviews on your schedule.
- Each runDecide close matchesA person checks near-identical products before they count.
- Each runDeliverA named batch owner signs off the file or feed.
Who data collection for retail stores is for Anyone who sets prices, ranges, or campaigns against competitors
A good fit for
- Online retailers, retail chains, franchises, and independent stores
- Product managers, merchandisers, and pricing teams
- Marketing and sales teams studying competitors' offers
- Investors comparing brands and categories
Look elsewhere when
- You need your own product catalog entered, not competitors' data
- A price tool already covers every store you care about
- You need customer data the store doesn't make public
Retail and ecommerce data collection in detail The data we gather, and what your team does with it
Competitor prices, products, and reviews at scale
Agents visit the stores and marketplaces you name and capture each product's price, promotion, stock, and reviews. The work that matters is matching: a 500 ml bottle and a two-pack of 250 ml bottles aren't the same product.
A person decides every close match, and each decision becomes an example the agents learn from.
- Product and category data
- Pricing and promotions
- Competitors' product details
- Customer ratings, reviews, and survey feedback
- Marketing, engagement, and social media data
Pricing optimization
With competitor prices matched to your catalog every day, your pricing team sees where you're above the market and where you're leaving margin behind. You can react to a competitor's promotion the same morning.
Personalized recommendations and marketing strategy
Reviews and ratings show what customers like and what they return. Combined with your own sales data, they help you recommend better and write campaigns that answer real complaints.
Supply chain and assortment planning
Stock levels and new listings across competitors show which products are running short and which categories are growing. Merchandisers use it to plan ranges and orders.
Questions about retail and ecommerce data collection What retail teams ask us before they start
What is ecommerce data collection?
It's gathering data from online stores and marketplaces: prices, products, stock, and reviews. At Damco, agents gather it and a person checks every product match they're unsure of.
How do you match competitors' products to ours?
We match by brand, model, size, pack, and specs, and agents score each match. A person decides every match below the confidence bar, so a near-identical model isn't counted as the same product.
How often can prices be collected?
Daily is common, and hourly for fast-moving categories or sale events. You choose per store and per category.
Which stores and marketplaces can you cover?
Any public online store or marketplace you name. We check each site's terms with you before the first run.
How is it priced?
We price per product tracked or per source, so the price grows with your range, not with hours.
Tell us which stores you compete with
Name the stores and categories. We'll reply with how we'd track them and the price per product.