Customer Analytics For Ecommerce Industry
New/Repeat customers metric give you a combined overview of the new and repeat customers.New customers are the ones acquired for the first time in the given period. Repeating customers are the ones who are visiting the website again for new purchase.
An increase in repeat customers is a healthy sign for the business.
How many times, on average one consumer made the purchase over the time period. Depending on the type of business can be presented monthly, quarterly, yearly.
Average Order Value
How much, on average, is spent on one order by the customers over a period of time. This insight helps the business to know the current share of wallet.
Average Recency, days
Shows, on average, the length of time in days, since customer last transaction.
Average Order by New/Repeat Customers
Identifying difference id preferences in terms of average amount spent in one order among new and repeat customers.
Orders Distribution by Daytime
Show customers preferences in placing Orders over daytime.
Orders Distribution by Weekday
Show customers preferences over days of a week.
Customers by Promotion
Customers participation in promotions during a specific period.
Shows the engagement of customers with the ecommerce website.This insight can lead to the creation of a customer surveys to understand the true motives of visits to the ecommerce website.
Segmentation New/Repeat Customers
Segmentation based on customer activity and lifetime value:
- Best customers
- High valued
- Now and then
Average Order by Segment
Identifying differences in preferences in terms of average amount spent in one order among customer segments with orders. Idle and inactive customers don’t have orders.
Average Margin by Segment
Identifying the difference in average earnings among customer segments with orders. Idle and inactive customers don’t have orders.
Average Frequency by Segment
Identifying difference among customer segments with orders how frequent, in average, they are coming to the website.
Active Customers Distribution by Gender
Shows ecommerce business attractiveness in relation to gender over a period of time and track changes.
Active Customers Distribution by Age
Shows ecommerce business attractiveness in relation to Ager over a period of time and track changes.
Active Customers Distribution by Homecity
Shows ecommerce business attractiveness in relation to customers’ homecity over a period of time.
Active Customers distribution by Parent status
Shows ecommerce business attractiveness in relation to parent status over a period of time.
Customer Preferences Surveys
In order to find out more on customer preferences or what are the reasons that customers stopped to come to the website or come less frequent (after defining measures in p.7 or p.8) can be performed email or phone surveys.