Configure User Agents to Identify as Robots in B2C Commerce
This topic applies to the Business Manager Historical reports. The Business Manager
Historical reports are retired. As of January 1, 2021, the reports are no longer populated.
Use the historical reports to review metrics published before January 1, 2021.
Required Editions
Available in: B2C Commerce
To access current data with advanced analytics and reporting capabilities, use
the Reports &
Dashboards.
There are two ways to remove known robots from Salesforce
B2C Commerce Historical reports.
First, open a case with Commerce Cloud Support and ask to add
the robot in question to the list of known users agents in the next B2C Commerce
Analytics build. This ensures that the robot is correctly identified in the next
Analytics report.
Second, f you have the IP address of the robot or an IP range,
Commerce Cloud Support can have these addresses added to a filter list, which starts to
block them in the next run of daily Analytics.
Questo articolo ha risolto il problema?
Facci sapere, così possiamo migliorare!
Caricamento
Salesforce Help | Article
Cookie Consent Manager
General Information
Required Cookies
Functional Cookies
Advertising Cookies
General Information
We use three kinds of cookies on our websites: required, functional, and advertising. You can choose whether functional and advertising cookies apply. Click on the different cookie categories to find out more about each category and to change the default settings.
Privacy Statement
Required Cookies
Always Active
Required cookies are necessary for basic website functionality. Some examples include: session cookies needed to transmit the website, authentication cookies, and security cookies.
Functional Cookies
Functional cookies enhance functions, performance, and services on the website. Some examples include: cookies used to analyze site traffic, cookies used for market research, and cookies used to display advertising that is not directed to a particular individual.
Advertising Cookies
Advertising cookies track activity across websites in order to understand a viewer’s interests, and direct them specific marketing. Some examples include: cookies used for remarketing, or interest-based advertising.