--- title: "Analyzing cohorts in Metrics" date: "2024-02-14T06:18:38+00:00" summary: "Discover how to analyze cohorts in Metrics with powerful dimensions and measures. Learn to track audience growth, compare campaign performance, and gain valuable insights into customer behavior and revenue impact." image: type: "page" url: "/customer-data-platform/analyzing-cohorts-metrics" id: "c9685a63-129e-40ac-89ea-9a8536f84837" --- In the **Cohort** section, you can access dimensions and measures to analyze cohorts in the **Metrics** module. The **Dimensions** section provides the campaign audience data. Dimensions in the **Dimensions** section and other standard dimensions in the **Customer** and **Transaction** sections help you to analyze buyer counts and other behavior. ![Analyzing cohorts](https://acquia.widen.net/content/bp5v8enrzy/jpeg/cdp_analyze-cohorts.jpeg?position=c&color=ffffffff&quality=80&u=lcfvma) Cohort performance reporting ---------------------------- You can analyze the conversion rate or revenue impact of a cohort if it was the audience of a marketing campaign. You can do the analysis through filters and measures based on a configurable attribution window. The attribution window is the interval in which the transactions by customers included in a cohort or campaign can be credited to the same cohort or campaign. The default attribution window range in Metrics is \[0:14\] where 0 to 14 is the range of days from the actual execution date of the cohort or campaign during which transactions are to be considered within the attribution window. The lower and upper bounds of the attribution window can be configured using the format \[X:Y\] where X is the lower bound and Y is upper bound in days. When customizing the attribution window range for your look or dashboard, you must use the \[X:Y\] format to get the correct results. Also, note that one transaction can be attributed to multiple campaigns if the transacting customer received multiple campaigns that influenced the same transaction. ![Cohort performance reporting](https://acquia.widen.net/content/ay94k82ver/jpeg/cdp_cohort-performance-reporting.jpeg?position=c&color=ffffffff&quality=80&u=lcfvma) Dimensions and measures for Cohort Analysis ------------------------------------------- **Group** **Dimension/Measure** **Name** **Description** **Pre-calculated field?** Cohort Dimension Campaign ID The unique ID for the campaign that created the cohort. No Cohort Dimension Campaign Name The name of the campaign that created the cohort. No Cohort Dimension Campaign | Segment Name A combination of _Campaign Name_ and _Segment Name_ that created the cohort. No Cohort Dimension Segment ID The unique ID for the segment within the campaign that created the cohort. No Cohort Dimension Segment Name The name for the segment within the campaign that created the cohort. No Cohort Dimension Variant Name The name for the variant (A/B) within the campaign that created the cohort. No Cohort Dimension Execution Date The timestamp when the campaign was executed or when the cohort was created. No Cohort Filter-only Field AttrWindow Range in Days The interval in which the transactions by customers included in a cohort or campaign can be credited to the same cohort or campaign. The default value is \[0:14\] where 0 to 14 is the range of days from the actual execution date of the cohort or campaign during which transactions are to be considered within the attribution window. The lower and upper bounds of the attribution window can be configured using the format \[X:Y\] where X is the lower bound and Y is upper bound in days. No Cohort Measure Buyer Count in AttrWindow The count of distinct buyers that transacted within the attribution window of a cohort or campaign. No Cohort Measure Conversion Rate in AttrWindow The ratio of buyer count that placed a transaction within the attribution window to the total number of individuals included in the same cohort or campaign. No Cohort Measure Transaction Count in AttrWindow The count of distinct transactions that fell within the attribution window of a cohort or campaign. No Cohort Measure Transaction Line Count in AttrWindow The count of distinct transaction lines that fell within the attribution window of a cohort or campaign. No Cohort Measure Product Revenue in AttrWindow The sum of product revenue from transactions that fell within the attribution window of a cohort or campaign. No Cohort Measure Total Revenue in AttrWindow The sum of _Product Revenue in AttrWindow_, _Shipping Revenue in AttrWindow_, and _Other Revenue in AttrWindow_. No Cohort Measure AOV in AttrWindow The ratio of _Product Revenue in AttrWindow_ to _Transaction Count in AttrWindow_. No Cohort Measure Average Unit Price in AttrWindow The ratio of _Product Revenue in AttrWindow_ to _Product Quantity in AttrWindow_. No Cohort Measure Discount Amount in AttrWindow The sum of discount amount from transactions that fell within the attribution window of a cohort or campaign. No Cohort Measure Product Quantity in AttrWindow The sum of product quantity from transactions that fell within the attribution window of a cohort or campaign. No Cohort Measure Items Count in AttrWindow The count of distinct items from transactions that fell within the attribution window of a cohort or campaign. No Launchpad dashboard ------------------- ![Launchpad dashboard](https://acquia.widen.net/content/5dsj7pjamb/jpeg/cdp_launchpad-dashboard.jpeg?position=c&color=ffffffff&quality=80&u=lcfvma) The Cohort Analysis feature has an out-of-the-box dashboard: **Cohort Insights for Segments**. To access this dashboard, click **Analytics > Metrics > Metrics Launchpad**. You can use this dashboard to compare various campaigns or segments across key performance indicators and insights, such as revenue trend segment, AOV, transaction counts, gender split, cross-channel behavior, and store performance. Accessing dimensions and measures in the Cohort grouping -------------------------------------------------------- As a marketer or analyst, you can access dimensions and measures in the Cohort grouping to analyze the subsequent buying behavior of customers acquired during a promotion such as Black Friday weekend. 1. [Sign in to your CDP user interface](/customer-data-platform/getting-started/signin-cdp). 2. Click **Actions** > **Campaigns+**. 3. Create a campaign and define your audience as all customers who made their first purchase over the Black Friday weekend. 4. In **Destination**, enable the **Cohort Analysis** toggle bar. 5. Save the changes and execute the campaign. Cohort is available for analysis only after completion of campaign execution, which typically takes 10-15 minutes until the cohort is available in Metrics. 6. Click **Analytics** > **Metrics**. 7. At the top-right, click **New** > **New Look**. 8. Expand the **Cohort** group. This group contains dimensions and measures. 9. Click the **Filter by field** for the following to add them to your Look: * **Dimension**: _Cohort Campaign Name_, _Cohort Campaign ID_ * **Measure**: _Buyer Count_  ![cdp_cohort_cust_behavior.png](https://acquia.widen.net/content/403c85b3-b390-480b-b2d5-973aab45a038/web/cdp_cohort_cust_behavior.png) 10. Click **Run**.  The system displays the total number of buyers in your cohort, which means the number of customers acquired during the Black Friday weekend in 2023. 11. Expand the **Transaction** group, click the **Filter by field** option for the **Transaction** **Date** field, and add the **Transaction Date** filter to the Look. Use the `is on or after` and `(absolute) date` filter options. 12. Click **Run**.  The system displays the number of customers in your cohort who have made a subsequent purchase after the Black Friday weekend. ![cdp_cohort_results.png](https://acquia.widen.net/content/2e09873c-0b77-4e65-b0fd-13d09db32b26/web/cdp_cohort_results.png) Further analysis on your cohort can reveal information such as revenue per customer, average order value (AOV), products purchased, and recent engagement. Tracking a segment or audience size ----------------------------------- As a marketer or analyst, you can track the size of a segment or audience over time. For example, monitor the growth or decline of your e-mailable customer base. 1. [Sign in to your CDP user interface](/customer-data-platform/getting-started/signin-cdp). 2. Click **Actions** > **Campaigns+**. 3. Create a campaign to acquire your e-mailable customer base. 4. (Optional) Divide the audience into: * Rule-based segments * Random variants * Both segments and variants on the segments 5. In **Destination**, enable the **Cohort Analysis** toggle bar. 6. In **Summary**, schedule your campaign to run weekly or monthly depending on how frequently you want to capture your audience size. 7. Click **Save**. 8. Click **Analytics** > **Metrics**. 9. At the top-right, click **New** > **New Look**. 10. Expand the **Cohort** group. This group contains dimensions and measures. 11. Click the **Filter by field** option for the following to add them to you Look: * **Dimension**: _Cohort Campaign Name_, _Cohort Campaign ID, Campaign Execution Date_ * **Measure**: _All Individuals Count_ If you set up segments while creating the campaign, add their names in the **Segment Name** field in **Dimension**. 12. Click **Run**. 13. Expand **Visualization** and select a data display option to track growth over time. For example, a table or graph. ![cdp_cohort_visualization.png](https://acquia.widen.net/content/041ddd40-8ea5-4e84-8ac0-c0ed3808ca48/web/cdp_cohort_visualization.png) Comparing the performance of marketing campaigns ------------------------------------------------ As a marketer or analyst, you can compare the performance of your marketing campaigns. 1. [Sign in to your CDP user interface](/customer-data-platform/getting-started/signin-cdp). 2. Click **Actions** > **Campaigns+**. 3. Select the marketing campaigns that you want to analyze. Ensure that the **Cohort Analysis** toggle bar is enabled for the selected marketing campaigns. 4. Click **Analytics** > **Metrics**. 5. At the top-right, click **New** > **New Look**. 6. Expand the **Cohort** group. This group contains dimensions and measures. 7. Click the **Filter by field** option for the following to add it to your Look: * **Dimensions**: _Cohort Campaign Name_, _Cohort Campaign ID, Campaign Execution Date_ The default attribution window in Metrics ranges from \[0:14\], where 0 corresponds to the campaign execution date. To modify the attribution window, add the filter ‘AttrWindow Range in Days’ and adjust it as required. For instance, \[0:7\] sets an attribution window of 7 days from the campaign execution date. For a Direct Mail campaign, you might prefer to start the attribution window later to account for mailing delivery time. For example, \[7:30\] starts the attribution window 7 days after the execution date and extends it to 30 days after the execution date. 8. Click the **Filter by field** for the following to add them to you Look: * **Dimension**: _Cohort Campaign Name (+) Segment Name and/or Variant Name_ Use the Variant Name only if you have used Segments and Variants in your campaign. * **Measure**: _Buyer Count in AttrWindow and Total Revenue in AttrWindow_ 9. Click **Run**. 10. Expand **Visualization** and select a data display option to compare the performance of your marketing campaigns. For example, a table or graph. ![cdp_cohort_comparison.png](https://acquia.widen.net/content/cbf4d996-b85f-4f4b-a71a-7b9f8d1a29d5/web/cdp_cohort_comparison.png)