With AI, machine learning and data analytics presenting brands with massive commercial opportunities, personalization has clearly shifted from a ‘nice to have’ to a ‘must do’.
The exciting thing about bringing IoT into the retail equation is it makes potentially complex customer service techniques like clientelling more accessible to the masses. In a nutshell it means making customer information available to associates so they can assist customers better – a perfect (and perfectly obvious) use of a platform like Plexure.
At each stage of the customer lifecycle we should be using all of the customer, contextual and transaction data we have to design experiences that will not only bring people back to stores, but increase their value to brands in the long term. Optimization is the difference between sending a generic promotional message to all customers, and creating truly personalized marketing that talks to individual customers.
Making decisions about what offers to personalize to which customers isn’t simple. There’s a huge number of variables to consider, and the more you account for, the better the results. So how do you work out the absolute best offer at any given moment, given the individual and their current context? Enter multiworld testing.