This article will help you learn about the fields available in the Customer Segments - Historical view, the field types, descriptions and how the fields are calculated
Key Topics
Click on the links below to take you to the section where you can learn more about this View and where it is used and how it is created
View Definition
This view is linked to the [drp.historical_customer_segmentation] table which generated as part of the Daasity transformation process and has the following fields available/visible for use.
| Field Name | Field Type | Description | Source / Calculation |
| Customer Segment Score Date | Dimension Group | Month for which the Customer was scored | month |
| Customer Segment | Dimension | The Customer Segment value for this customer at the start of the month | customer_segment |
| Frequency Group | Dimension | The group (segment) for the frequency based on the groups in the Daasity UI | customer_frequency_group |
| Frequency Pentile | Dimension | The pentile (segment from 1 to 5) for when a customer last purchased (1 is most recent) | customer_frequency_pentile |
| Monetary Group | Dimension | The group (segment) for the monetary based on the groups in the Daasity UI | customer_monetary_group |
| Monetary Pentile | Dimension | The pentile (segment from 1 to 5) for a customers AOV (1 is the highest AOV) | customer_monetary_pentile |
| Recency Group | Dimension | The group (segment) for the recency based on the groups in the Daasity UI | customer_recency_group |
| Recency Pentile | Dimension | The pentile (segment from 1 to 5) for when a customer last purchased (1 is the recent) | customer_recency_pentile |
| RFM Score | Dimension | The raw score for the RFM = F * SQRT(M) / R | rfm_score |
| RFM Score Decile | Dimension | The group (segment from 1 to 10) of the RFM score (1 is the best) | rfm_decile |
| Unique Customer ID | Dimension | Unique identifier for the Customer (often the email address) | unique_customer_id |
| Average Order Value | Measure | Average Order Value (AOV) of customers scored in that month | CASE WHEN SUM(num_orders) = 0 THEN 0 ELSE SUM(gross_sales) / SUM(num_orders) |
| Count Customers | Measure | Count of customers that were scored in that month | COUNT(unique_customer_id) |
| Total Gross Margin | Measure | Total Gross Margin of customers scored in that month | SUM(gross_margin) |
| Total Gross Sales | Measure | Total Gross Sales of customers scored in that month | SUM(gross_sales) |
| Total Net Sales | Measure | Total Net Sales of customers scored in that month | SUM(net_sales) |
| Total Orders | Measure | Total Orders of customers scored in that month | SUM(num_orders) |
Explores
This view is part of the following explores:
- Customer Segments - Historical
Transformation Code
This view is a Daasity derived table generated by the following code:
- [4615_CUS_BAS_segment_history.sql]