Customer Analytics for Consumer Packed Goods
Average Transaction by New and Repeat Customers
New and repeated consumers can be differentiated by segmenting them in different ID’s.
Transactions Distribution by Daytime
Show customers’ preferences with respect to day & time.
Transactions Distribution by Weekday
Show customers preferences over days of the week.
Customer Lifetime Value (CLV)
This KPI shows ‘All-time’ earnings from the specific customer. Over time, there is an increasing pattern in CLV – as customers are coming back, buying more, their new purchases margins are added to their previous CLV.
Average Cost of Customer Acquisition
Shows the average cost incurred acquiring a new customer. For calculations, all the advertising costs and cost of promotions over a period is included.
Customers by Promotion
This report analyses customers’ participation in promotions during a specific period.
Customers Activity
This report is used to analyze customers’ activity – Identifies active customer base. The customer survey can be done monthly, quarterly, half yearly and annually to find out further issues.
Segmentation New and Repeat Customers
This KPI segments customer based on their activities like lifetime value, best customer, high valued, now and then, uncommitted, idle, inactive can all be tracked and reported.
Average Margin by Segment
Identifying the difference in average earnings among customer’s segments with transaction history, idle and inactive customer don’t have transaction history.
Average Frequency by Segment
The average walk-ins of the customers to the store with the transaction and how frequent it is.
Active Customers distribution by Gender
Shows store attractiveness in relation to gender over a period and tracks changes.
Active Customers distribution by Age
Shows store attractiveness in relation to Age over a period and tracks changes.
Active Customers distribution by Homecity
Shows store attractiveness in relation to Home city over a period and tracks changes.
Active Customers distribution by Parent status
Shows store attractiveness in relation to Parent Status over a period and tracks changes.
Customer preferences surveys
This KPI analyses the reasons because of which customers have stopped coming to the store, shopping less etc. This data can be tracked and survey can be performed by email and phone surveys.
