Data catalog

Linkedin subscriber likelihood

Ranks an individual's likelihood to be a LinkedIn subscriber, modeled based on whether the individual have a LinkedIn account and the individual use it at least once per week to search job postings, post original content, re-post others’ content, scroll through/read posts on the home page, check notifications, invite others to connect/ join the individual's network, organize and post offline events, join groups, communicate with others using the message feature, or other activities.

The Faraday Identity Graph contains 1,500+ consumer attributes that can be used by brands, software platforms, and data science teams. Each attribute can be appended in batch or in real time. Also, Faraday supports creating propensity, recommender, and cluster models based on this data.

Technical details

These technical details describe how Faraday represents this attribute internally.

PropertyValueAPI value
API name
linkedin_subscriber_likelihood
CategoryLifestylefig/lifestyle
UnitRankrank
Type Integerlong
Statistical type Ordinalordinal
Allowed valuesNot applicablenull
Deprecation Not deprecatedfalse
Directionality Higher number means a greater ranked likelihood.