> For the complete documentation index, see [llms.txt](https://docs.smaq.io/documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.smaq.io/documentation/connections/linkedin-ads.md).

# LinkedIn Ads

### What SMAQ pulls

* Campaign, campaign group, and creative-level performance
* Impressions, clicks, conversions, spend, CPC, CPM
* Sponsored content vs Message ads vs Text ads vs Dynamic ads breakdowns
* Lead Gen Form metrics (form opens, submissions)
* Audience demographics

### What you'll need

* A LinkedIn account with **Campaign Manager — Account Manager** access or higher on the ad account.

### Steps to connect

1. **Data Source → Add data source**.
2. Pick **LinkedIn Ads**.
3. Authorize via LinkedIn OAuth.
4. Pick the ad account from the dropdown.
5. Name and click **Connect**.

> **\[Screen video needed]** LinkedIn OAuth + ad account picker. \~45 seconds.

### Tips

* **LinkedIn's reporting lags \~24 hours.** Same-day data is unreliable; pull yesterday and earlier for accurate numbers.
* **Lead Gen Forms vs landing pages** — Lead Gen Forms report submissions directly; landing-page conversions need separate tracking (UTMs + GA4).

### Troubleshooting

* **"No ad accounts found"** — confirm your LinkedIn login has Campaign Manager access (Account → Settings → Account users).


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.smaq.io/documentation/connections/linkedin-ads.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
