Price Intelligence Data for retailers, brands & manufacturers

Discover top competitors on ad platforms, marketplaces and ecommerce sites to monitor competitors’ prices to stay ahead.

Utilize accurate price intelligence data for repricing strategy, price optimization, dynamic pricing and MAP monitoring.

Start with a free report


As a Pricing Analyst, you need competitors’ pricing data exact at a SKU level to do your job effectively. However, you may be struggling. Your repricing may not be yielding expected ROI. You may not be trusting your competitors’ price data.

Regain control, and excel in dynamic pricing with high quality competitive pricing data accurate at a SKU level.

Precise to the
SKU level
Double-verified to
ensure accuracy
Customized to fit
your needs
competitive price intelligence

What is Included with this Solution

Competitive Intelligence Software / Repricer

– Monitor competitor prices, and apply price rules to do Repricing and Price Optimization
– Manage prices across multiple marketplaces, advertising platforms & web stores

MAP Monitoring

– Get Minimum Advertised Price violation reports, alerts and screenshot of violations in pdf form to enforce MAP Policy

Dynamic Feed Optimization 

– Optimize advertising campaign with competition based dynamic custom feed labels
– Generate & Manage Smart Product Feeds: Google, Bing and Facebook

Competitor Price Reports

– Gain Market Intelligence, and insight into Price Trends and Performance

Frequently Asked Questions

We compare products in your catalog to every competitor we find and verify the match accuracy of your Products through a combination of automated and manual data quality checks.

Software (AI) empowered automated product matching

We match your products against data from ecommerce databases by comparing part numbers, brand names, variants, case packs, and images.

Human in the loop for quality assurance

Products are matched automatically in “high-confidence” scenarios. Data Analysts manually research “moderate” or “low-confidence” scenarios.

If you are trying to buy a Nike Air Jordan white size 10 shoe, you will price shop exactly on that SKU. You may browse Foot Locker, DSW, Amazon, Walmart and others. You will want to know how much that exact SKU costs and purchase the one with the lowest price.

If you are DSW and want to offer the lowest price, you want to understand how much Foot Locker is selling that shoe for. You don’t want to understand how much a size 11 or a size 9, or a yellow Nike Air Jordan costs.

Your competitive price data must be exact at the SKU level so you can reprice. If you don’t get competitive price data exact at a SKU level, you will reprice based on the wrong shoe. And if your strategy as DSW is to offer the lowest price, you will be unable to as Foot Locker may still be the lowest on that SKU and price shopping buyers will not buy from you.

This article details this topic.

Advertisers, Pricing Analysts, Consultants and many other stakeholders utilize competitive pricing data.

Business Type Description Primary Needs
Retailer Primarily resells products manufactured and/or distributed by other companies Standard
Brands Manufacturers their own products, sells direct, and sells through Retailers Standard Police MAP pricing Monitor “similar” items
Private Brands Manufacturers their own products, sells direct, and does not sell through Retailers Monitor “similar” items

We can monitor prices on popular marketplaces like Google Shopping, Amazon, Walmart, Target, Best Buy and eBay. Likewise, we can monitor from direct ecommerce sites anywhere in the world. If you have other ecommerce sites that you want to do price monitoring, you can let us know. We have rapidly supported custom price monitoring needs for our clients.

Our solution is designed to be fully automated. Typically, clients don’t start the engagement with full automation and want to get comfortable with the accuracy of our results. So our clients have validated the quality of our results to gain confidence that they can trust the results. During these times, they add a step to manually feed the price change into their product catalog.

Yes. We automatically update prices on Google Merchant Center, Amazon, Shopify, BigCommerce, Magento, Yahoo and other sites.

Typically, we have provided the repriced data in a product feed that the client product feed team import into their product catalog. We have integrations into platforms like Amazon, Google Merchant Center and other ecommerce platforms to automatically make price changes. After clients gain confidence, they utilize our fully automation capabilities by providing us repricing rules that we set to enable automated repricing.

Field Description
Platform Platform the data is collected from
Item Name Product name
SKU Stock keeping unit
MAP Enforced Indicates if SKU is a MAP SKU
MAP Indicates if MAP violations have been found
Item Cost Product Cost
Floor Price The lowest price at which a product can be sold (based on your preference)
Current Base Price Base Price
Current Shipping Cost Shipping Cost
Suggested Base Price This price is based on configured price rules.
Price Category / Suggested Action Indicates if your base price should be lowered, increased or remain the same
Lowest Competitor Base Price Base Price of the LOWEST priced competitor in a platform
Lowest Competitor Shipping Cost Shipping Cost of the LOWEST priced competitor in a platform
Highest Competitor Base Price Base Price of the HIGHEST priced competitor in a platform
Highest Competitor Shipping Cost Shipping Cost of the HIGHEST priced competitor in a platform
Full Competitor List Details of all available competitors for the product

We support all industries with our price monitoring solutions as we list below. We have a specific edge in categories like apparel, fashion and industrial. These categories have sparse product content and thus automated repricers do a poor job of providing correct competitive price data.

Animals & Pet Supplies Apparel & Accessories Arts, Media & Entertainment
Automotive & Parts Baby & Toddler Business & Industrial
Cameras & Optics Education Electronics & Computers
Floral, Gifts, & Baskets Food & Beverage Furniture
Hardware Health & Beauty Health & Wellness
Healthcare & Medical Home & Garden Jewelry & Accessories
Luggage & Bags Mass Merchant & Variety Office & School Supplies
Software & Solutions Sporting Goods & Outdoor Toys, Hobbies & Crafts

We can provide competitive price data from any geographic with a site in English. We serve many customers in the United States. For global brands, we provide competitive prices from Canada, Mexico, UK, France, Italy, Japan, Thailand, Korea, China and other countries. Our technology is country agnostic.

We can provide data intra-day, daily, weekly or less frequently. Majority of online retailers do dynamic pricing and hence prices become stale very quickly. Hence, we strong recommend clients to assess their price competitiveness weekly or more frequently.

Cherry pick competitors

You can provide competitors to ignore or specify rules like: ignore competitors with more than 50 reviews. Or, you can provide us with a list of the only competitors to include.

Specify custom Algorithms to adjust prices

  • Establish a “Floor Price” of 20% above product costs; never recommend a low price
  • Ignore competitive prices when they are dramatically higher or lower than expected
  • Always round price recommendations using “.99” as a suffix (ex: $43.99)
  • Always round price recommendations using “.99” as a suffix (ex: $43.99)
  • When not the cheapest and product sells for $10+, beat the cheapest competitor by $1
  • When not the cheapest and product sells for $10+, beat the cheapest competitor by $1
  • When not the cheapest and product sells for $10 or less, beat the cheapest competitor by $0.10
  • When cheapest by more than 3%, increase price to be within 3% of next cheapest competitor
  • Include shipping price in the pricing analysis
  • Include refurbished

Customize data exports

  • TSV
  • CSV
  • Excel
  • PDF

Customize reports

Generate specialized reports based on your needs.

You can detect when other resellers are not complying with minimum advertised price (MAP) policies on their ecommerce store and/or marketplaces. You will also see when resellers don’t follow channel sales policies. For example, many brands prevent selling on Amazon. Competitive price intelligence data will identify when brands that are not to be sold on Amazon are found to be selling. Additionally, brands and detect unauthorized sellers and potentially fraudulent products.