Customer Analytics
Unearth Enalito’s actionable insights for delivering 1:1 personalized experience, increasing customer profitability and loyalty. Understand customers using vital ecommerce metrics to drive conversions that improve business health. Save time with pre-built powerful segmentation built on customers behaviors. Witness higher revenue when you start approaching the Right Customers with the Right Message at the Right Time and at the Right Discounting Level. All done through Automated Omni Channel Campaigning System inbuilt into the tool.
What Customer Analytics Does Enalito Provide?
How the store is performing currently vs what is the future potential? Which customers are driving sells higher and what should be done to ensure future growth? Automated campaigning with the right strategy to identified customer segments, on the basis of customers recency of purchases and frequency of buys, is the starting point of enalito customer analytics capabilities. Big spenders or Whales are very important for the store. Customer Segmentation on the basis of how monetary spend is changing with recency of purchases gives this insight.
Clear identification of At-Risk,Necessary and Most Important customers on the basis of various behavioral aspects, lays down the foundation for a successful automated campaigning strategy. For every dynamic behavioral segment thus identified, enalito also has the suggested campaigns inbuilt.
Most Important Customers
At-Risk Customers
Necessary & Essential customers
KPIs For Each Segment
Individual Customer 360°Detail
Advanced Customer Segmentation That Maximizes Retention
Enalito also provides the ability to combine multiple customer behaviors including - Purchase, Browsing, Cart Abandoned as well as interaction with emails and campaigns. For instance - Customers who spent a lot (Whales) but have not been buying recently are inbuilt as Dead Whales. Of course, no store even planet earth cannot afford to lose whales. While making the strategy to save whales, identify the ones who browsed on the store recently and segment them for retention oriented campaigning.
At the same time, campaigns can have a dynamic discounting policy applied. It achieves the objective of optimizing profits by offering different customers a different discounting amount on the basis of past purchase behavior.