Customising the experience specifically for the individual at that precise moment that matters.
The key to great personalization is data. Not only the amount of data but more importantly the insightful smart data that infers real intent and interests.
Real-time contextual data and behavioural data are what really matter. They provide that rich real-time view of exactly what will resonate with the precise needs and expectations of the shopper at that very moment.
Did you know...
Requests served on Black Friday 2018
A key point of differentiation is that we can apply personalization across our full range of capabilities including search, navigation, recommendations, merchandising and marketing campaigns.
We enable you to personalize the entire shopper experience in a way that reflects their distinct needs and expectations, in that exact moment that really matters.
The ranking feature is great because you can put a default sort on your whole site or personalise that to different categories.
Online Visual Merchandiser, End Clothing
Personalization is a must-have in ecommerce sites. It involves customising the interaction with a specific individual, in order to increase relevancy. It is achieved by capturing the smart data that infers shopping intent and then applying it to create a highly personalized and relevant experience.
Personal for you; Presents items for the current shopper, based on their known data and historical purchases and interactions, as well as data provided by the retailer about their shoppers.
Most popular; Presents the items that the largest number of users, with similar needs to the shopper, have interacted with. These are the most popular products based on all historical items and interactions and reflect key trends and wisdom of the crowd.
Collection of well-liked miscellaneous items; Presents items that are very popular and represent every area of shopper interest, based on historical behavioral data for all shoppers, who have similar preferences to this shopper.
Others also liked; Presents items that other users who have interacted with the current item have also interacted with, and therefore could be relevant to the shopper.