Learn how to interpret the suggested experiment table in Dema and what each metric represents.
When Dema generates a suggested experiment, it provides a detailed table to help you understand how the test is structured and what to expect. This table breaks down the test’s estimated performance metrics and key characteristics of the treatment and control groups.
When Dema generates a suggested experiment, it provides a detailed table to help you understand how the test is structured and what to expect. This table breaks down the test’s estimated performance metrics and key characteristics of the treatment and control groups.
Lists the regions (e.g., zip codes or commute zones) included in the treatment group, where the test intervention will occur (e.g., spend increased or decreased).
Control
Lists the regions included in the control group, which serves as the baseline for comparison.
Download CSV: Provides a downloadable file with the full list of treatment and control regions for detailed review and implementation.
Understand the impact on spend and sales: Compare the estimated spend and incremental gross sales to gauge the scale and potential outcomes of the test.
Plan for changes in overall performance: Use the estimated total gross sales to anticipate any shifts in overall revenue during the test period.
Assess test sensitivity*: Review the MDE and treatment group correlation to ensure the test design is robust and likely to yield actionable insights.*
Align with your team: Share the treatment and control group details with your team to ensure everyone is aligned on the regions affected.
Download the targeting details: Use the CSV file to streamline campaign adjustments in ad platforms.
By understanding the suggested experiment table, you can effectively plan and execute tests that drive meaningful insights into the incremental impact of your marketing efforts.