Retail analysis: The Usual Suspects – Personalisation & Patterns

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-

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Store Analytics “Which came first, the chicken or the egg? How long did the chicken stay for, where did she go, and how many eggs were in her basket? Store Analytics – eggs-plored and eggs-plained!

  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-

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