LinkedIn Ads

Below is the updated documentation, including the newly listed fields.


LinkedIn Ad Impressions & Engagement

HockeyStack’s LinkedIn Account List Integration add-on pulls account-based ad impression and engagement data from LinkedIn Ads. You can use this data in your attribution reporting, segmentation, or when viewing a single account’s journey.

How It Works

HockeyStack can pull impression and engagement data daily by company & campaign to capture changes over time. If it detects a change in any of the metrics, it inserts a Goal related to that change.

Goals:

  • LinkedIn Ads Impressions Changed

  • LinkedIn Ads Ad Engagements Changed

The “Changed” label indicates the difference since the last time data was pulled (e.g., yesterday). All of these goals use the same action and user property schema outlined below.

Action Properties

Property
Type
Description

impression_change

Number

The change in impressions since the last data pull

ad_engagement_change

Number

The change in ad engagements since the last data pull

linkedin_campaign_name

String

The name of the LinkedIn campaign associated with the impressions/engagement

linkedin_campaign_id

String

The LinkedIn campaign’s unique ID

video_views

Number

The number of video views recorded

video_completions

Number

The number of video completions recorded

User Properties

Property
Type
Description

company_id

String

The associated CRM company ID, if found.

linkedin_company_id

String

The company’s LinkedIn ID

linkedin_account_id

String

The LinkedIn Ads account ID associated with the data

linkedin_company_url

String

The LinkedIn profile URL of the company

company_name

String

The company’s name

company_domain

String

The company’s website domain

company_number_of_employees

String

The range of employees the company has

company_industry

String

The industry the company is associated with on LinkedIn

Caveats

LinkedIn only provides impression and engagement data if the metric is greater than 2, due to privacy constraints. This might cause slight accuracy issues when reporting on very low-engagement accounts or campaigns.

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