Which should come first, the chicken or the egg? How long will the chicken stay for, where will she go, and how many eggs will be in her basket? The answers to customer experience analytics still seem tantalisingly out of reach for many retailers. This year’s RBTE event at Olympia had its fair share of new IT initiatives as well as more established applications, refreshed, re-invented and re-packaged.-
1st Joy of a Retail Spring – Understanding Customer Behaviour Make it your new year’s resolution to understand how your customer behaves inside your stores. In many ways having got them into your store you’ve done the hard part, and everything they do, and everything they buy now, is a bonus that cannot be ignored. The key is understanding how your customer reacts to your store, your product display,-
It’s very easy for a retailer to go chasing in circles attempting to catch the evasive scraps of essential new data, insights and analysis blown into a constant ferment by the prevailing winds of new information. Throw into this cyclone complex omni-channel data, progressively pervasive loyalty programme insights, beacons pursuing the personalisation profile of every customer and we have nothing less than a hurricane force of facts at our out-stretched-
Knowledge of traffic and conversion is essential to measure and maximise sales opportunities across stores, however the knowledge of traffic and conversion by category display within the store reveals the mysteries of the shopping experience and promises the riches of increased sales productivity for every gondola, wall and precious retail square metre. What retail success boils down to is selling as much as possible to as many people as-
How do you use store analytics? This leads us to the chicken and the egg, nestled conveniently in a store near you. There’s a general feeling that store analytics, using video technology to monitor the movement of customers, their dwell times, engagement rates and conversion rates within stores, has a great deal to offer in terms of store productivities, however how to use the analytics effectively to achieve-
