Comprehensive product intelligence enhances cross-sell and upsell with personalized merchandising strategies based on product attributes and compatibility
…and it is your customer data.
Nine out of ten purchases still take place in the store. That means that with each swipe of the credit card, customers send a strong signal of preference by means purchase. But today this signal is lost into one of these: DMP, CRM, or another three-letter acronym for your data sinks.
Although “clienteling” might have a number of definitions, and myriad paths to best achieve it, it really means connecting with customers so well on every channel that they want to keep coming back. It’s not a new concept. But in the digital age when it’s easier than ever to reach consumers, it’s important to employ technology that engages the shopper and connects them with the brand, while enhancing their in-store shopping experience.
“Major retail brands have been built on that personal interaction and personalization of commerce in store,” RichRelevance chief marketing officer Diane Kegley, said. “They would recognize shoppers from a previous visit or have a record of the type of merchandise they preferred. That occurred before the digital age. Now, digital has created another set of channels to recognize those markers through a consumer ID. It’s an extension of a store using big data, monitoring social feeds and being able to respond as if standing in front of that shopper, which makes the shopper feel closer to the brand.”
Today, we’re happy to expand our product recommendations capabilities with Advanced Merchandising. Now, you can present product ensemble recommendations to inspire consumer purchase with perfectly matched products.
Personalization is what empowers retailers to create a 1-1 relationship with customers online. By tracking engagement and other KPIs, you can quickly take stock of how are you doing with those relationships.
Malcolm Gladwell a récemment vulgarisé le terme « outlier » (valeur aberrante) en l’utilisant pour désigner des personnes performantes. Toutefois, dans le contexte des données, les valeurs aberrantes sont des points de données très éloignés d’autres points de données, c’est-à-dire atypiques… Read more
It’s no secret that today’s shoppers want their favorite retailers to tailor promotions and communications to their individual purchasing habits. In fact, 86% of consumers – and 96% of retailers – said personalization has at least some impact on the purchasing decision, according to a study from Infosys.
Malcolm Gladwell recently popularized the term ‘outlier’ when referring to successful individuals. In data terms, however, outliers are data points that are far removed from other data points, or flukes.