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Measures tables | Acquia CDP | Acquia Product Documentation

The following is the list of tables for standard measures:

Measure table	Description
Attribution	Attributing outcomes or results to specific factors such as marketing campaigns or customer interactions.
Customer	Quantifying aspects of customer behavior such as purchase frequency, lifetime value, or churn rate.
Cohorts	Focusing on groups of users who share common characteristics or experiences over a defined period, often used for cohort analysis.
Market Basket Analysis	Analyzing the co-occurrence or relationships between items purchased together, revealing patterns and associations in customer buying behavior.
Machine Learning	Deriving from machine learning models such as predictive accuracy, model performance metrics, or output scores.
Transaction	Relating to financial transactions such as revenue, average order value, or transaction count.

Attribution

The following is the list of tables for standard measures:

Measure table	Description
Attribution	Attributing outcomes or results to specific factors such as marketing campaigns or customer interactions.
Customer	Quantifying aspects of customer behavior such as purchase frequency, lifetime value, or churn rate.
Cohorts	Focusing on groups of users who share common characteristics or experiences over a defined period, often used for cohort analysis.
Market Basket Analysis	Analyzing the co-occurrence or relationships between items purchased together, revealing patterns and associations in customer buying behavior.
Machine Learning	Deriving from machine learning models such as predictive accuracy, model performance metrics, or output scores.
Transaction	Relating to financial transactions such as revenue, average order value, or transaction count.

Attribution

Measure Name	Description	Pre-calculated field?
Attributed Buyer Count	The total number of individual customers converted in the attribution window.	No
Attributed Events	The total number of events attributed.	No
Attributed Sales Revenue	The sales revenue attributed to campaigns for the selected attribution type.	No
Attributed Transaction Count	The total number of transactions attributed to the campaign.	No
Attributed Transaction Line Count	The total number of transaction line items attributed to the campaign.	No
Average No Of Days to Convert	The average number of days to convert.	No
Email Click Rate	The ratio of email clicks to email sends.	No
Email Open Rate	The ratio of email opens to email sends.	No
Event Count	The total number of events in the selected date range.

Customer

Measure Name	Description	Pre-calculated field?
All Individuals Count	The count of distinct master customers.	No
Average Recency Days	The average number of days since the last transaction from customers.	No
Average Sales Channel Count	The average number of sales channels for customers. For example, channels include digital and physical.	No
Average Tenure Days	The average number of days since the first transaction from customers.	No

Cohorts

Measure Name	Description	Pre-calculated field?
AOV in AttrWindow	The average order value (AOV) calculated within the Attribution window, representing the average monetary value of orders placed within the specified timeframe.	No
Average Unit Price in AttrWindow	The average price per unit of products sold within the Attribution window, reflecting the average cost per item purchased during the specified period.	No
Buyer Count in AttrWindow	The count of unique buyers who made purchases within the Attribution window, indicating the number of distinct customers contributing to transactions during the specified timeframe.	No
Conversion Rate in AttrWindow	The percentage of visitors or users who completed a desired action. For example, making a purchase within the Attribution window, relative to the total number of visitors or users within the specified timeframe.	No
Discount Amount in AttrWindow	The total amount discounted from transactions within the Attribution window, representing the cumulative value of discounts applied to purchases during the specified period.

Market Basket Analysis

Sub-Group	Measure Name	Description	Pre-calculated field?
-	Combined Sales Revenue	The sales revenue for the combination.	No
-	Combined Transaction Count	The total count of all transactions.	No
First Item Details	First Number of Association	The total number of different items purchased together with the first item.	No
First Item Details	First Sales Revenue Contribution	The sales revenue contribution of the first item in the combination.	No
First Item Details	First Total Quantity

Machine Learning

Sub-Group	Measure Name	Description	Pre-calculated field?
CC Studio	Custom Calculation Measure	The custom calculation measure created within CC Studio for specific analytic needs.	No
Evaluation - Clustering Model	Cluster Silhouette	A metric to assess the quality of clusters formed by a clustering algorithm, based on cluster cohesion and separation.	No
Evaluation - Clustering Model	Cluster Stability	A measure to assess the stability of clusters across different subsets of data or different runs of the clustering algorithm.	No
Evaluation - Clustering Model	Cluster WSS	A Within-cluster sum of squares (WSS) measure to assess the compactness of clusters in a clustering algorithm.	No

Transaction

Measure Name	Description	Pre-calculated field?
AOV	The average order value for transactions calculated using [Product Revenue] / [Transaction Count].	No
Average Unit Price	The average unit price for transactions calculated using [Product Revenue] / [Product Quantity].	No
Buyer Count	The count of distinct master customers with at least one transaction.	No
Discount Amount	The discount amount for transactions.	No
Items Count	The count of distinct products bought in transactions.	No
Margin per Customer	The margin per customer based on transactions calculated using [Total Margin] / [Buyer Count].	No
Product Cost	The product Cost Of Goods Sold (COGS) for transactions.

Measure Name	Description	Pre-calculated field?
All Individuals Count	The count of distinct master customers.	No
Average Recency Days	The average number of days since the last transaction from customers.	No
Average Sales Channel Count	The average number of sales channels for customers. For example, channels include digital and physical.	No
Average Tenure Days	The average number of days since the first transaction from customers.	No

Measure Name	Description	Pre-calculated field?
AOV in AttrWindow	The average order value (AOV) calculated within the Attribution window, representing the average monetary value of orders placed within the specified timeframe.	No
Average Unit Price in AttrWindow	The average price per unit of products sold within the Attribution window, reflecting the average cost per item purchased during the specified period.	No
Buyer Count in AttrWindow	The count of unique buyers who made purchases within the Attribution window, indicating the number of distinct customers contributing to transactions during the specified timeframe.	No
Conversion Rate in AttrWindow	The percentage of visitors or users who completed a desired action. For example, making a purchase within the Attribution window, relative to the total number of visitors or users within the specified timeframe.	No
Discount Amount in AttrWindow	The total amount discounted from transactions within the Attribution window, representing the cumulative value of discounts applied to purchases during the specified period.	No
Items Count in AttrWindow	The total count of individual items sold within the Attribution window, indicating the quantity of distinct products purchased during the specified timeframe.	No
Product Quantity in AttrWindow	The total quantity of products sold within the Attribution window, representing the overall volume or number of items purchased during the specified period.	No
Product Revenue in AttrWindow	The total revenue generated from product sales within the Attribution window, reflecting the cumulative monetary value of all products sold during the specified timeframe.	No
Revenue per Customer in AttrWindow	The average revenue generated per customer within the Attribution window, calculated by dividing the total revenue by the number of unique customers who made purchases during the specified period.	No
Total Revenue in AttrWindow	The cumulative revenue generated from all transactions within the Attribution window, representing the total monetary value of all sales made during the specified timeframe.	No
Transaction Count in AttrWindow	The total count of transactions completed within the Attribution window, indicating the number of individual purchases or orders placed during the specified period.	No
Transaction Line Count in AttrWindow	The total count of transaction lines within the Attribution window, representing the number of individual line items or products included in all transactions during the specified timeframe.	No

Sub-Group	Measure Name	Description	Pre-calculated field?
-	Combined Sales Revenue	The sales revenue for the combination.	No
-	Combined Transaction Count	The total count of all transactions.	No
First Item Details	First Number of Association	The total number of different items purchased together with the first item.	No
First Item Details	First Sales Revenue Contribution	The sales revenue contribution of the first item in the combination.	No
First Item Details	First Total Quantity	The total quantity for the first item.	No
First Item Details	First Total Sales Revenue	The total sales revenue for the first item.	No
First Item Details	First Transaction Count	The total count of distinct transactions for the first item.	No
Second Item Details	Second Number of Association	The total number of different items with which the second item was purchased.	No
Second Item Details	Second Sales Revenue Contribution	The sales revenue contribution of the second item in the combination.	No
Second Item Details	Second Total Quantity	The total quantity for the second item.	No
Second Item Details	Second Total Sales Revenue	The total sales revenue for the second item.	No
Second Item Details	Second Transaction Count	The total count of distinct transactions for the second item.	No

Sub-Group	Measure Name	Description	Pre-calculated field?
CC Studio	Custom Calculation Measure	The custom calculation measure created within CC Studio for specific analytic needs.	No
Evaluation - Clustering Model	Cluster Silhouette	A metric to assess the quality of clusters formed by a clustering algorithm, based on cluster cohesion and separation.	No
Evaluation - Clustering Model	Cluster Stability	A measure to assess the stability of clusters across different subsets of data or different runs of the clustering algorithm.	No
Evaluation - Clustering Model	Cluster WSS	A Within-cluster sum of squares (WSS) measure to assess the compactness of clusters in a clustering algorithm.	No
Evaluation - Likelihood Model	Feature Importance	A measure to evaluate the importance of each feature in a likelihood model, indicating the impact of each feature on the model's predictions.	No
Evaluation - Regression Model	Feature Importance	A measure to assess the importance of each feature in a regression model, indicating which features have the most influence on the predicted outcome.	No
Evaluation Metrics - Likelihood Model	Metric Value	The value of a specific evaluation metric used to assess the performance of a likelihood model.	No
Evaluation Metrics - Regression Model	Metric Value	The value of a specific evaluation metric used to assess the performance of a regression model.	No

Measure Name	Description	Pre-calculated field?
AOV	The average order value for transactions calculated using [Product Revenue] / [Transaction Count].	No
Average Unit Price	The average unit price for transactions calculated using [Product Revenue] / [Product Quantity].	No
Buyer Count	The count of distinct master customers with at least one transaction.	No
Discount Amount	The discount amount for transactions.	No
Items Count	The count of distinct products bought in transactions.	No
Margin per Customer	The margin per customer based on transactions calculated using [Total Margin] / [Buyer Count].	No
Product Cost	The product Cost Of Goods Sold (COGS) for transactions.	No
Product Margin	The product margin for transactions calculated using [Product Revenue] - [Product Cost].	No
Product Margin %	The product margin percent for transactions calculated using [Product Margin] / [Product Revenue].	No
Product Quantity	The quantity of products bought in transactions.	No
Product Revenue	The product revenue for transactions.	No
Revenue per Customer	The revenue per customer based on transactions calculated using [Product Revenue] / [Buyer Count].	No
Total Cost	The total Cost Of Goods Sold (COGS) for transactions calculated using [Product Cost] + [Shipping Cost] + [Other Cost].	No
Total Margin	The total margin for transactions calculated using [Total Revenue] - [Total Cost].	No
Total Margin %	The total margin percent for transactions calculated using [Total Margin] / [Total Revenue].	No
Total Revenue	The total revenue for transactions calculated using [Product Revenue] + [Shipping Revenue] + [Other Revenue].	No
Transaction Count	The count of distinct transactions	No
Transaction Line Count	The count of distinct transaction lines	No