How is the value for Profile Completeness calculated?

By default, every version of Elements has a Data Extract called User profile completeness, which looks at a variety of attributes on the Profile page such as whether a Profile photo has been uploaded, whether an Overview or Research Interests have been entered, and then computes a 'Profile completeness percentage.' Some clients have requested clarification about how the algorithm works.

Here is the algorithm: Let UserScore be the number of unlocked user fields (see the User Profile Field Settings page) which are not empty in a particular user's profile, plus 1 if they have at least one label applied, plus 1 if user photo upload is enabled and the user has a photo.

Then, let ScoreAvailable be the number of unlocked user fields, plus 1 (for having labels), plus 1 if user photo upload is enabled. The user's "Profile completeness percentage" is (UserScore / ScoreAvailable) * 100.

Note: locked profile fields do not affect the percentage. To get a particular user's score higher focus on a) making sure each unlocked field has data in it, and b) applying at least one label to the user, and c) add a photo if the 'Upload photo' feature is enabled.