What the LinkedIn Ads integration does

LinkedIn Ads is a communication platform used by B2B marketing teams to manage campaigns, creatives, audiences, leads, and performance metrics. In Beam, it becomes a controlled action point: agents can retrieve the context they need, make an approved update, and hand unusual cases to a person. The exact objects and permissions depend on the connector configuration, so use the capability evidence in the migration record when defining a workflow.

How Beam agents use LinkedIn Ads

A workflow starts with an event such as a lead or campaign event needs routing. The agent checks campaigns, creatives, audiences, leads, and performance metrics in LinkedIn Ads, applies the workflow rule, performs the permitted update, and records the result. If the data is incomplete or the requested action falls outside the connector's permissions, the agent routes the case for review instead of guessing.

Example workflows

• When a lead or campaign event needs routing, a Beam agent reads campaigns, creatives, audiences, leads, and performance metrics in LinkedIn Ads, updates the next record, and routes exceptions to the responsible owner.

• When a workflow request arrives, a Beam agent retrieves campaigns, creatives, audiences, leads, and performance metrics from LinkedIn Ads, applies the agreed rule, and records the outcome for B2B marketing teams.

• After a status, approval, or delivery event changes, a Beam agent checks campaigns, creatives, audiences, leads, and performance metrics in LinkedIn Ads, sends the next notification, and leaves an auditable handoff.

Operational value

• Fewer manual handoffs between LinkedIn Ads and the systems around it.

• A clearer audit trail for campaigns, creatives, audiences, leads, and performance metrics and exception handling.

• More consistent movement from a lead or campaign event needs routing to the next owner or system.

Before you build

Confirm the supported campaigns, creatives, audiences, leads, and performance metrics, authentication scopes, and availability for your Beam workspace. Keep exception handling explicit: the agent should pause and route a case when required data or permissions are missing.