Data and The In-store Experience
April 1, 2019 | by StoreAdvise
Data is literally everywhere and it’s not just about computers and software anymore. Mobile devices to wearables, RFID to geofencing, data is changing the way we interact with the world around us.
Retail, like most industries, has taken note. While e-commerce and digitally native stores may have an inherent advantage of starting online, many brick-and-mortar stores are learning to leverage data as well. There’s a whole lot of it out there, and today’s retailers are also learning that sheer volume of information does not necessarily mean it’s useful.
So how can you make the most of the incoming tide of modern data? The answer: Prescriptive analytics.
Understanding Prescriptive Analytics
Prescriptive analytics go beyond data capture to provide not just information, but insights. With technology by StoreAdvise, retailers don’t simply gain an onslaught of endless data. They get tailored recommendations based on near real-time information and store activity. They get fitting room data that pairs with suggestions for staffing and stocking, and a constant source of information that helps them build efficient workflows and run a better operation.
Bringing the Value of Online Shopping In Store
One of the primary values of online selling for e-commerce providers is the detailed reporting available. These online retailers gain metrics for virtually every aspect of the customer journey, including time spent on page (browsing), click-through-rates (promotional efficiency), purchase history, return history, customer loyalty, and more.
With StoreAdvise, measuring these touchpoints is no longer a luxury reserved for online retailers; it’ a reality for in-store shopping too.
There is no arguing the fact that data is an incredibly powerful resource. It’s a must-have tool for today’s modern retailers. But it’s not just about capturing it. It’s about what you can do with it. And with StoreAdvise, you can do more.
Ready to do more in your store? Call us for a free demo or workshop. Email us at email@example.com or give us a call at (469)-304-9033.