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.
| Property | Value | API value |
|---|---|---|
| API name | linkedin_ | |
| Category | Lifestyle | fig/lifestyle |
| Unit | Rank | rank |
| Type | Integer | long |
| Statistical type | Ordinal | ordinal |
| Allowed values | Not applicable | null |
| Deprecation | Not deprecated | false |
| Directionality | Higher number means a greater ranked likelihood. | |