PureClarity is designed to provide a highly personalized visitor experience in order to increase sales conversions and build loyalty. It analyses visitor behavior at three different levels to present search results and recommendations that are highly relevant.
The three levels of data analysis are crowd-based, segmentation-based and individual (highly personalized): (up-sell and cross-sell), to leaving the site, to basket abandonment events, post-sale email marketing and offsite social media engagement.
Crowd-based- analyzes the behavior of everyone as group to see what is trending and what is relevant, e.g. ‘Everyone’.
Segmentation– analyzes similar people to see what is trending and what is relevant for specific groups, e.g. ‘First Time Visitors’, ’USA Visitors’ and ‘VIPs’.
Personalization– collecting data about a user’s individual behavior including likes and dislikes, views, purchases, search results and clicks to show product, brands and categories that are most relevant to that individual.
PureClarity uses all three levels of analysis to formulate personalized search and recommendations based on what it knows about the individual. For people it doesn’t know it presents results that have resulted in conversions for people who in the past have performed similar behavior; for those it knows well it tailors highly personalized results.