Creating a calculated metric in Adobe Analytics is a straightforward process that allows you to derive new insights from your data. You can combine existing metrics, apply mathematical operations, and customize your analysis.
Here's a step-by-step guide:
1. Navigate to the Calculated Metrics Section
- Log in to your Adobe Analytics account.
- Go to the Admin tab.
- Click on Report Suites.
- Select the report suite for which you want to create a calculated metric.
- Click on Calculated Metrics under the Data Management section.
2. Create a New Calculated Metric
- Click on the New Calculated Metric button.
- Give your calculated metric a name and a description.
- Choose the data type for the metric. You can select from several options, including:
- Number: Used for numerical values like revenue, page views, or conversions.
- Percentage: Used for representing proportions or ratios.
- Currency: Used for displaying monetary values.
- Text: Used for non-numerical values like strings or labels.
- Select the calculation method. You can use basic mathematical operations like addition, subtraction, multiplication, and division. You can also use functions like SUM, AVG, MIN, MAX, and more.
- Specify the metrics you want to use in your calculation.
- Preview the calculated metric to see how it will be displayed in reports.
- Save the calculated metric.
3. Use the Calculated Metric in Reports
Once you have created a calculated metric, you can use it in your reports just like any other metric. This allows you to analyze your data from a new perspective and derive valuable insights.
Example:
Let's say you want to create a calculated metric called "Conversion Rate" to track the percentage of visitors who complete a purchase on your website. You can create this metric by dividing the number of "Transactions" by the number of "Visits".
Calculated Metric Name: Conversion Rate
Data Type: Percentage
Calculation Method: Transactions / Visits
Metrics: Transactions, Visits
Practical Insights:
- Calculated metrics can be highly customized to meet specific business needs.
- You can use them to track key performance indicators (KPIs) like customer lifetime value (CLTV), average order value (AOV), and return on investment (ROI).
- Combining existing metrics can reveal hidden patterns and insights that may not be apparent with individual metrics alone.
By creating calculated metrics, you can gain a deeper understanding of your data and improve your decision-making process.
