Big Data Analytics for the Retail Space

Big data is powering millions of businesses across industries. It’s transforming the way companies interact with their customers, sell products and services, and approach business strategy. Organizations can now access more data today than ever before, but this information is of no value unless you know how to put it to work. 

Big data – huge datasets collected by organizations, characterized by VOLUME of information, the VELOCITY at which the information is collected, and the VARIETY of information. 

To win in today’s busy retail market, companies must analyze the data they collect to bolster decision-making. Data analytics software turns these huge sets of data into actionable insights that can spur product innovations and deliver high-quality and multi-channel experiences—two things in today’s world that offer brands a competitive edge. 

Big Data Analytics for the Retail Space can help companies make short-term strategic decisions regarding things like product merchandising and in-store optimization, and it’s especially helpful when companies must make the riskier, long-term decisions such as forecasting demand for new product launches or deciding where to open retail locations.  

Companies that analyze big data gain a deeper understanding of the market and their consumers. They can leverage these insights to set more realistic business goals and deliver better customer experiences. The businesses that don’t? They simply fade into the background. 

Here are 5 ways we think retailers should be using big data. 

1) Develop better products 

A core benefit of using big data analytics is learning what today’s consumers want. What problems are people struggling with and how can your product solve them?  

Today’s world changes at a rapid pace. New innovations solve old problems only to create new problems. Thanks to the internet, new trends are constantly popping up replacing current ones. Big data analytics is the tool you need because it will help you anticipate these trends and predict customer demand. Any data you collect from your eCommerce platform, social media, or customer surveys can guide your strategy when developing, producing, and launching new products. This can include browsing and purchasing behavior, viral internet trends, and customer feedback. 

Plus, you can classify key attributes of past and current products and then model the relationship between those attributes and the commercial success of the offerings. This can help you build predictive models for new products and services. You’ll have to analyze a high volume of data coming in varying formats, so it’s best to segment this data according to customer behavior. 

2) Elevate the customer experience (and improve customer satisfaction) 

Big Data enables retailers to get a clear view of how customers engage with your brand. By tracking user behaviors on your website, eCommerce platform, email campaigns, and social media, you can fine-tune your decision making. And everything is about keeping consumers on your website, moving through a great customer experience. Big data makes a big impact such as: 

  • Optimize your product displays and web layouts 
  • Creating targeted marketing campaigns and personalizing offers 
  • Enhance your quality of customer service 
  • Train your customer service team to proactively fix certain issues 
  • Update payment methods to meet customer preferences 

Numerous other retailers are competing for customers, so your goal is to always maximize the value you deliver. This builds brand trust and loyalty among your customer base; and in a climate where consumers are more knowledgeable about brands than ever, this trust can be the differentiating factor between you and your competitors. 

Excellent products and intuitive shopping experiences are key to winning customer loyalty, and you can only successfully deliver these one once you understand what customers want. And since consumer behavior is constantly evolving, tracking and analyzing your customers’ interactions with your brand will help you stay looped in on the newest trends and preferences. 

3) Identify your most valuable customers 

Behavioral analytics provides you with insights on online browsing behavior and spending patterns; using these insights, you can identify your best customers. We’re talking your high-value customers who are repeat buyers and advocates of your brand—knowing who they are would enable you to tailor your business strategy to ensure they stick around. Sales teams can devote more time to them, and customer service can work more proactively if incoming data indicates they may leave. 

Which age group do your repeat customers fall in? What is their gender? Geographical location? Big data can provide these important details and more to help you create products that appeal to these demographic groups. 

Most importantly, knowing who your most valuable customers are gives you the advantage of sending the right message to the right people, sometimes even at the right time. You can send personalized communications, offers, and discounts to these customers to elevate the experience they have with your brand. Birthday discounts? Special offers? Count us in. 

4) Optimize the in-store shopping experience 

Many retailers are starting to analyze data from mobile apps, in-store purchases, and geolocations to optimize merchandizing in their brick-and-mortar shops. This is a great strategy to encourage customers to complete purchases, manage product stocks, and reduce the need for price markdowns. Leveraging your data to determine the age demographic of in-store shoppers, your best-selling products, your store’s busiest time of day, and the frequency of in-store returns are also excellent ways to tailor the in-store shopping experience to meet customer needs. 

One thing retailers should keep in mind is that many consumers today like to take a blended approach to shopping. Since the rise of eCommerce, online shopping is becoming increasingly popular—as of 2021, roughly 27.6 percent of the global population are online shoppers. If you have an eCommerce platform, the smart move would be to integrate your in-store strategy with your online strategy to create one continuous brand experience. 

Consistency of service and experience across channels helps improve customer satisfaction, especially for the savvy customer. These are the customers who may compare online and in-store prices, collect coupons, or examine a product in store before deciding to purchase it online later.  

It would be remiss of retailers to focus solely on one channel.  Retailers that use an omnichannel strategy earn 91 percent greater year-over-year customer retention rates compared to ones that don’t. 

5) Improve product pricing 

Retailers need to know the true profitability of their customers, how markets can be segmented, and the potential of any future opportunities.  

 Big data takes away the need to solely rely on market prices and instead enables retailers to adopt the best pricing strategy based on customer information such as social media preferences, product reviews, browsing behaviors, transactions, geographical location, and more. The insights generated from this information can identify pricing improvement opportunities, reduce frequency of price markdowns, and identify areas where profits may be leaking.     


Big data unlocks massive potential for businesses to deliver better value as brands and equips them to adapt to the changing market at a faster rate. In a rapidly digitizing world, retailers that don‘t leverage big data to guide their business decisions will inevitably lose to their competitors who do. 

So what does this mean for you? If you don’t already have a data strategy, it’s worth investigating how Data Science can give your eCommerce operations a boost. If you do have one in the works but haven’t touched it in a long time, Particle41 can help you out. Book a call with us today to talk about your goals, and we’ll offer no-pressure professional insight into what you need for your business to succeed. 

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