Customer Analysis

Customer Segmentation #

With customer segmentation, you can break down your customers into smaller, more detailed groups depending on their purchase behaviour and target them even more specifically.

Segmentation for an ecommerce store can be done in various groups some are described below

Best customers are customers who have became your store’s top most fans.

Loyal customers are customers who are satisfied with your product and services. They would never dream of doing business with anyone else.

New big spenders are your recent customers who have purchased a good amount of products.

Big spenders always do big purchases from your store.

Active low spenders purchases low ticket products from your store.

Recent customers are which have recently started shopping with you.

At risk customers are those customers which are dissatisfied with your product and services and can leave you anytime.

Inactive customers have done shopping with you in past but not have done since long duration.

Lost customers have moved to another store and no longer do shopping with you.

Customer shift #

Customer shift shows you track record of your customer progress over period of time.

You can get detailed analysis of your customers who comes to your store as new customer and converts into repeated, registered and active respectively.

Average customer lifetime #

A customer’s average lifetime is the average time a customer remains active before they drop off and go.

Churn rate #

Churn rate is a business metric that calculates the number of customers who leave your store over a given period of time, divided by total customers. Customer churn is vital to understand for the health and stickiness of a business.

Retention rate #

Customer retention rate designates the percentage of customers the company has retained over a given time period. Retention rate is a reverse side of churn rate. 

Churn vs Retention rate #

This KPI shows you comparison between churn and retention rate over period of time.

New vs Repeated #

It shows comparison of new vs repeated customers over given period of time.

Purchase Frequency #

Purchase frequency is the number of times an average customer buys a product from your store in a given period.

Product vs Customers #

It shows number of customers of your top ten selling products.

Refunders vs Refund #

Refunds are a part of business regardless of whether you sell a physical product or a digital product.

This metric shows your top refunders and refunds that they have made. This data aware you to track store refunds.