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Bot removal in Adobe Analytics

In Adobe Analytics, you have multiple options for removing bot traffic from reporting:

Use Bot Rules

Both standard and custom bot filtering methods are supported in Analytics > Admin > Report Suites > Edit Settings > General > Bot Rules :
Rule type
Description
Standard IAB bot rules
Selecting Enable IAB Bot Filtering Rules uses the IAB's (International Advertising Bureau's) International Spiders & Bots List to remove bot traffic. Most customers select this option at a minimum.
Custom bot rules
You can define and add custom bot rules based on user agents, IP addresses or IP ranges.
For more detail, see Bot rules overview .

Use the hitGovernor implementation plug-in

Use the s.hitGovernor implementation plug-in , which removes visitors who behave like bots, meaning these visitors send dozens or hundreds of hits per minute.

Use a combination of Adobe Tools

In addition, since bots are morphing quickly, Adobe offers several other powerful features that, when combined properly and on a regular basis, can help drive the removal of these enemies of data quality. Those features are: Experience Cloud ID Service, Segmentation, Data Warehouse, Customer Attributes, and Virtual Report Suites. Here is an overview of how you can leverage these tools.

Step 1: Pass your visitors' Experience Cloud ID into a new declared ID

To start, you'll want to create a new declared ID in the People Core Service . You'll need to pass your visitor's Experience Cloud ID into this new declared ID, which can be done quickly and easily with Adobe Experience Platform Launch . Let's use the name "ECID" for the declared ID.
Here is how this ID can be captured via Data Element. Be sure to populated your Experience Cloud OrgID into the Data Element correctly.
return Visitor.getInstance("REPLACE_WITH_YOUR_ECORG_ID@AdobeOrg").getExperienceCloudVisitorID();
Once this Data Element is set up, follow these instructions to pass declared ID's into the ECID Tool in Launch.

Step 2: Use segmentation to identify bots

Now that you have your visitor's ECID passed into a declared ID, you can use segmentation in Analysis Workspace to identify visitors who are acting like bots. Bots are often defined by their behavior: single access visits, unusual user agents, unknown device/browser information, no referrers, new visitors, unusual landing pages, etc. Use the powers of Workspace drill-downs and segmentation to identify the bots that have evaded IAB filtering and your report suite bot rules. For example, here's a screenshot of a segment that you could use:

Step 3: Export all Experience Cloud IDs from the segment via Data Warehouse

Now that you have identified the bots using segments, the next step is to leverage Data Warehouse to extract all the Experience Cloud IDs associated with this segment. This is how you should set up your Data Warehouse request:
Remember to use Experience Cloud Visitor ID as your dimension and apply the Bots segment.

Step 4: Pass this list back to Adobe as a Customer Attribute

Once the Data Warehouse report arrives, you'll have a list of ECIDs that need to be filtered from historical data. Copy and paste these ECIDs into a blank .CSV file with just two columns, ECID and Bot Flag.
  • ECID : Make sure this column header matches the name you gave to the new declared ID above.
  • Bot Flag : Add this as a Customer Attribute schema dimension.
Use this .CSV file as your Customer Attribute import file, then subscribe your report suite(s) to the Customer Attribute as described in this blog post .

Step 5: Create a segment that leverages the new Customer Attribute

Once your data set has been processed and integrated into Analysis Workspace, create one more segment that leverages your new "Bot Flag" customer attribute dimension and a Exclude container:

Step 6: Use this segment as your Virtual Report Suite filter

Finally, you should create a Virtual Report Suite that leverages this segment to filter out the identified bots:
This newly-segmented Virtual Report Suite will now result in a significantly cleaner set of data, with the identified bots completely removed.

Step 7: Repeat steps 2, 3, and 4 regularly

Set at least a monthly reminder to identify and filter new bots, perhaps prior to regularly scheduled analysis.