If you’re in the retail space, the conversation of “delivering the ultimate customer experience” is as prolific as conversations about inventory management, supply chain operations and P&L statements. It’s top of mind as retailers look to capitalize on industry white space, remain competitive in overly saturated markets and see retention soar.
In fact, Gartner contends that this year, more than 50 percent of organizations will implement significant business model changes in their efforts to improve customer experience. This includes investing in the right technologies, bringing uniform consistency across retail channels and activating self-service tools. But amidst all the talk about the customer experience has to be a conversation about big data—specifically the fact that retailers need to rely on analytics as their No. 1 driver in bolstering the customer experience.
Looking to improve your experience? Learn more about Carousel’s retail IT solutions by clicking here.
Before you can even begin to pinpoint the tactics that will help you move the needle with your customer experience, you need to approach it with a data-first mentality. You’ll want to have the answers to questions like:
In the retail space, you essentially have two points of contact with your customers: those inside and outside your business, whether that’s virtual or physical. As such, the question becomes: how do you touch them no matter how they come in contact with your business and glean the pertinent data that will help you drive profit expediently?
For instance, if your customer is in the makeup department of your store, how can you tee up coupons via mobile device in real-time about a sale you are running in the women’s shoe department? Similarly, how can you push out coupons offering “20% off your smoothie before 10 am” right when your prospect walks by your building at 9:30 am? It’s equally important to gain data that helps you understand your existing customers better, as it is to understand the large swath of customers you are missing daily and why.
Stuck on how to derive more from your customer analytics? Let’s talk—click here to begin.
As you begin to construct your strategy for making better use of customer analytics, you may want to keep the following in mind:
While the customer experience will always remain top of mind, the analytics equation of the experience should not be an after-thought. Rather, it’s the governing tactic to inform the changes and improvements you will make to your customer experience.
What about you? How are you approaching customer analytics? I’d love to hear from you in the comments section below or directly at email@example.com.