Brought to you by Bungee Tech – Freeing e-commerce leaders to make better decisions with data.

web data collection, ecommerce product data, product matching, retail data

Why Do Retailers Need Ecommerce Data? 

Why Do Retailers Need Ecommerce Data?

Forward-thinking retailers incorporate ecommerce data into their competitive strategy. 


Ecommerce data is a core attribute to effective retail revenue operations. Retailers need web data to compete and better serve their customers. It captures attributes like product description, pricing, and shipping information – giving you insights into the competitive landscape. If you’re not leveraging web data in your business strategies, then it’ll be tough to build loyalty and position yourself against the competition. 

Ecommerce Data Collection + Product Matching

It all starts with capturing data, then once the data is gathered the next step is product matching.  

Product matching is the process that identifies the same, similar, or equivalent products across competitive catalogs. Retail businesses use product matching for price benchmarking, assortment gap identification, promotion monitoring, and an overview of the competitive landscape. 


Some retailers spend (too much) time manually searching competitors’ websites for this information. Some retailers rely on imperfect product comparisons. These subpar methods are not “good enough”. Think about it like this: If you rely on UPC matching alone, you’re missing out on pack sizes, product variations, and all those products from retailers who don’t display UPCs. Not to mention if there’s errors or changes to the UPCs, the link breaks and you’re left with another blind spot.  


While product matching isn’t easy or straightforward, when it’s done right, it gives retailers a serious upper hand. 


To get it right, retailers are turning to product matching solutions that are driven by machine learning algorithms. This way, retailers have high-quality data of the competitive environment. There are so many advantages to accurate, automated product matching: price optimization, changes to assortment, and confident decision making.

Accurate product matching gives retailers the ability to… 

🎯 Identify assortment gaps 


🎯 Align on promotional strategies 


🎯 Optimize prices 


🎯 Understand the competitive landscape 


🎯 See out of stocks 

Omnichannel Shoppers are Valuable

And all that data collection and product matching accuracy and consistency is important because shoppers are online.


Retailers: Don’t ignore the statistics around omnichannel shoppers. We hear from retail customers over and over that omnichannel (or hybrid) shoppers spend more on every shopping occasion compared to single-channel shoppers.  


Research supports those claims. 


🛍️  McKinsey reports that 60% – 70% of consumers consider online browsing or social media shopping to be the new way to search for and buy things.


🛍️  22% of online buyers shop once a week. 


🛍️  54% of shoppers will look at a product in store and then buy it online.


🛍️  When shoppers go to a store to pick up an item they ordered, 47% purchase additional products in the store.

24% of retail purchases will be online

By 2026, 24% of retail purchases are expected to take place online and the ecommerce market is expected to total over $8.1 trillion. 


This is all great news… 

But there’s a huge problem.  

Most retailers (78%) say their customers don’t have a unified shopping experience… citing obstacles like poor data quality as the reason. 


Retailers have to compete more effectively and that includes promoting value offers (loyalty rewards, great pricing, and promotions). It also includes focusing on convenience (shipping, availability) and experience (assortment, consistency).


Poor data shouldn’t stand between you and your customers and it shouldn’t be the reasons your falling behind the competition. You can create a unmatched shopping experience with high-quality, reliable data. Ecommerce data should be the foundation of your competitive strategy. 


Retail business leveraging online competitive intelligence are increasing sales, reducing inventory write-offs, and refreshing assortment.

Competitive Pricing

One major benefit to product matching and competitive intelligence, is the visibility into prices across the market. It’s no surprise that consumers look at price when making a purchase; 77% say it’s vital part of their purchase decision. This number increased 23% since 2022 as more consumers look for ways to save.  


No matter your retail vertical, shoppers are comparing prices online.  

For pet supplies. 

For cars & auto accessories. 

For groceries. 

For tools. 

For travel. 

For school and office supplies. 

For clothes. 



Lower prices. 


Free shipping. 

Curbside pickup. 

Product availability. 

Customer service. 


Do you have enough data to optimize your competitive strategy? 

Data collection, machine learning, analytics, and automated actions to drive winning decisions

Retail Strategy Optimization

Your online price, assortment, availability, and promotional strategy present a huge opportunity for growth. To build a blueprint of success, you need accurate ecommerce data, that is then matched across catalogs, so that you can be hyper-focused on optimizing price and assortment.


📊  If you want to understand regional pricing, you need data. 

📊  If you want to understand who your competition is, you need data. 

📊  If you want to build a pricing strategy around margins, you need data. 

📊  If you want to understand if you have assortment gaps, you need data. 


Data will do more than solve your problems. Data drives results. 


Beyond the data, you need a scalable and automated process. Build your foundation with a data partner that you can trust. That means quality data, total coverage, and transparent customer support. 


Here’s just some of the benefits you gain with ecommerce data and product matching automation: 

  • Determine who your biggest competitors are in any market 
  • Say which products are the same or what the price-pack architecture differences are 
  • Create real value for your customers by offering the best prices and shipping options 
  • Keep assortment fresh and add relevant products to your selection 
  • Understand the competitions’ promotional events and fine-tune your own efforts 
  • Build meaningful experiences using differentiated content from Generative AI 
  • Use the power of machine learning to automate backend operations 
benefits of product matching and ecommerce data collection

What about Syndicated Data?

Syndicated data tracks customer behavior. It gives retailers an overview of demographics, purchase frequency, and shopping preferences. It’s an aggregated collection of retail sales market data. Syndicated data compares product information across all stores, food categories, distribution channels, or geographic markets. 


And while syndicated data is incredibly useful, it’s not the same as competitive intelligence data.  


Competitive intelligence is the collection and analysis of the competitive landscape so retailers can build more informed strategies. These datasets can certainly work together to give your business an edge in the market. 

I Need Ecommerce Data... Where Can I Get It?

Our team would love to work with you on a complimentary proof of concept 

Bungee Tech’s goal is to provide retailers with uninterrupted data collection, accurate product matching, and reliable competitive intelligence. Transform how you meet customers in their buying journey. Get data coverage across all competitors, in any channel, in any zip code, every day. 

Sample retail’s most reliable competitive data. Try a risk-free proof of concept to see how your team can leverage these insights.  

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