This report gives you a detailed profile for users who clicker on your campaigns, providing various metrics and making it easy to see the user behaviour in each instance.

How to find the report

  • If this report is enabled for your Analytics, you will find it in your dashboard under Analytics
  • If this report isn't enabled for your Analytics and you'd like it to be, please let us know by emailing support@permutive.com

Using the report

  • Click on the 'filters' list at the top of your page to see your filters and make edits.
  • Filters on this report can include a variety of these different options, depending on the type of project you have. These can include:
  • Advertiser ID
  • Campaign ID
  • Creative ID
  • Line Item ID
  • Slot Ad Unit Path
  • Slot Element ID
  • Slot Targeting Value
  • Set any additional filters eg. 'DateRange', 'Country', 'Type'

Understanding the report

  • The aim of the report is to give an detailed overview on who clicked on your campaign.
  • The first five pie charts give you various metrics, the Platform (eg. web, fia, amp), Country, Articles Viewed In Session, Average Session Length, Site Distribution and Technographic (eg. tablet, desktop, mobile) for each campaign
  • The first table, 'Category Visited', gives an indication of what article categories were visited by people who clicked on the chosen campaign
  • The last two metrics are Site Distribution in the UK and Province's visited in the UK. Note: when a user's IP is not able to be located to a finer subdivision than 'England', it indicates that the IP is in use across multiple counties and is inaccurate for Maxmind to locate the user to a specific city or finer subdivision. For example, if a user is in Islington, they will populate the Islington segment and not the England division. Alternatively, if the user is in Islington, but Maxmind cannot accurately confirm this, they will be put into the England division.  

Example I am looking to report on the success of a particular campaign and I want to understand what kind of audience clicked on it.

From my results I can see that

  • Across the campaign (hidden in this example) over the past day, the majority of people viewing the campaign were from the UK, they mostly only viewed 1-5 articles on desktop and their average session length was mixed, but predominantly 30s+.
  • The main category visited by users who viewed this campaign was 'news' and the majority (after 'England') were located in Hertfordshire.
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