We know data can make a big difference. But how about competitor data? Competitive intelligence is one of the cornerstones of business strategy today. Like a game of chess, every move of your competitors, their lost pieces, and safe moves play a huge role in how you approach a market. While playing to your strengths can be a strategy, learning from the competitor, their strengths and weaknesses, and identifying gaps in the market can make you play a proactive game in the market. So, how do you get hold of top ecommerce datasets to rev up your intelligence? Let’s take a look.
Building a culture of intelligence
When it comes to intelligence, especially in the internet era of selling, ecommerce intelligence has grown manifold. The rise of ecommerce reached an estimated 5.8 trillion U.S. dollars in 2023 and is expected to grow to eight trillion dollars by 2027. So, how can you build the intelligence to sell your products online? What kind of data should you watch out for to ride the wave of ecommerce success? Dive in to find the top ecommerce datasets that you can leverage.
1. Product page
Web scraping of the product page of a product comes with comprehensive details of your competitor’s product information, such as Product title, Pricing, and Features. Scraping data from ecommerce websites like Amazon gives exhaustive information about all that you need about a particular product, which helps you formulate your own product specification and gives a roadmap for optimizing your ecommerce SEO. Web scraping can help you understand the online game of your competitors with respect to their pricing, SKUs, product descriptions, and product images to benchmark your products. This also helps you improve your product catalog management.
2. Buy box data
Winning the ‘buy box’ is one of the major goals of sellers on Amazon. So what is this buy box? When you want to buy a particular product from Amazon, the immediate and prominent ‘Buy Now’ that you see from a particular seller is the seller who has won the buy box for the particular product. Amazon selects which seller’s product appears in the front for instant purchase based on various criteria such as seller history with respect to shipping, inventory, quality, best price, fulfillment rate, and much more. You can also see other sellers below the buy box, which is less prominent, but you can purchase from them. Hence, if you are a seller competing in a very competitive market, scraping buy box information can help you with datasets vital for winning the Amazon buy box.
3. Customer reviews and rating
This is yet another key information that you can leap into understanding how customers perceive your competitor’s product. Get a deep understanding of customer sentiment to improve your product and service quality with Amazon reviews scraping. Customer reviews help you in building your brand reputation. These are high-volume data and often are repetitive. To make valuable use of this data, AI and NLP-based text recognition can help you. Filtering out the key pain points and positioning your products based on customer reviews can help you garner more sales. Scrapework’s Amazon review scraping helps you with your custom scraping needs, so you need not worry about piles of raw, unstructured data.
4. Product demand
This data helps you with your business operation and supply chain. Track inventory levels of products, product availability, and shipping information to understand product demand. It helps you analyze various products in a category and precisely gauge customer demands. Product demand data also proves to be important during seasonal and festive sales. For example, the sale of woolen clothes and sweaters may peak during the winter season.
5. Market trend
Analyzing the market trend data helps you harbor distinctive information on the latest consumer trends. Say, ‘What is the fashion trend now?’ or identify a new product that is now available in the market for a particular pain point. This also provides a lucrative opportunity to understand what sells and when. Historical product information and products under a category help you position your products better and can prove beneficial to standardize your product strategy. Scrape real-time and historical data to understand consumer behavior to capture market opportunities.
6. Grey market and counterfeit products
If you are a manufacturer and sell your products on your own website, chances are that similar products that go by your name are listed on popular ecommerce websites without your knowledge. Sometimes, retailers may sell your product below the MAP(Minimum Advertised Price) to sell more and win customers, or they may even sell counterfeit products having your brand name. Both of this needs a vigilant eye to avoid any reputational damage to your brand or any loss of sales.
Final words
Scraping data from ecommerce websites can provide valuable insights, especially in the era where online selling has become more competitive than ever before. While there is emerging scope for this market to grow even bigger, earning a good reputation demands solid data. A holistic web scraping solution can come in handy to get your custom web scraping needs addressed.
