DataHawk Product allows you to respond timely and more effectively to changes in best seller ranks, keyword ranks, price, reviews, star ratings, sellers, Buy Box, and listings data by tracking and getting alerts on your product's performance on Amazon and Walmart.
Our extensive collection of Amazon and Walmart data provides you with analytics on retail search, product data, competitive insights, and sales performance.
Track daily changes in the best seller rank or sales rank across multiple Amazon and Walmart categories to accurately gauge the sales performance of any product compared to competing products and analyze the respective product's competitive dynamics.
Learn moreReceive email alerts based on custom rules or triggers related to changes in any product, such as changes in PDPs, reviews, ratings, price, Buy Box status, number of sellers, hijackers, inventory, and sales rank, to track and respond to changes in your listings.
Learn moreLeverage competitive insights with our reverse ASIN lookup tool and monitor daily changes in the metrics and listing information using our ASIN Tracker for any product on Amazon and Walmart, including price, reviews, ratings, sales rank, and Buy Box data.
Learn moreMonitor and benchmark changes in any product's details and performance. Whether you want to track 100 ASINs or 100,000, DataHawk makes it easy to set up alerts for custom triggers and receive notifications for every Amazon or Walmart data point you wish to track.
Run a granular analysis of data on an individual product, keyword, or category level for both your products and your competitors' to identify trends and patterns as well as strengths and weaknesses in how you market and sell your products on Amazon and Walmart.
Export and analyze historical and contemporary analytics on all your tracked products by generating detailed reports designed to help you benchmark your products and competitors' products' performance on Amazon and Walmart.
Export historical public data of all the Amazon products you track to facilitate product information acquisition and assess product performance through metrics such as BSR, price, ratings, reviews, monthly sales, and a competitiveness score.
Learn moreExport historical public data related to a single Amazon product to analyze its product details page information and examine metrics such as the product's competitiveness score, BSR, price, ratings, estimated monthly sales, Buy Box data, and more.
Learn moreExport historical public data of all the Walmart products you track to facilitate product information acquisition and assess product performance through metrics such as BSR, price, ratings, reviews, monthly sales, and a competitiveness score.
Learn moreDataHawk is the ideal analytics platform for day-to-day doers, no matter their level of expertise, to gain intelligent insights and recommendations on optimizing their organic search performance on Amazon and Walmart.
Sign up nowOur DataHawk experts are at your disposal to answer pertinent business questions, such as who are your competitors? How big is the market for Amazon and Walmart? How should you position your brand?
Schedule a callWhen selling on Amazon, all metrics are correlated, and Amazon’s A9 Algorithm considers every single data point—best seller ranks, keyword ranks, price, reviews, star ratings, sellers, Buy Box, and listing data—to determine your products’ rank in search results. Therefore, it is imperative to track the faintest of changes and respond promptly to ensure your product’s success.
With over two million sellers on Amazon, shoppers have multiple alternatives for what you are selling. That means you are competing with others for shoppers’ dollars. Therefore, it is incumbent upon you to monitor your competitors’ actions and take the necessary steps, whether reactive or proactive. For example, if you are a reseller and notice that one of your competitors on the same ASIN has lowered their price, you may want to respond with a price change.
Buy Box and Pricing Properties
Listing Details Properties
Reviews and Ratings
Explore the latest trends, insights, news, best practices, case studies, and optimization strategies to level up your eCommerce selling skills on Amazon and Walmart.
Six months after subscribing to DataHawk, our customers see an increase in sales of 130% on average, 35% on a median basis, and 100% in the top quartile. Twelve months in, they see an increase in return-on-ad-spend of 31% on average and 26% on a median basis.*
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