# LinkedIn Ads

#### **Why Use Primer Audiences for LinkedIn Ads?**

LinkedIn’s native targeting is powerful but often too broad, letting in mid-level roles or unrelated industries that dilute your campaign’s impact. Primer lets you build precise, high-match audiences that mirror your ideal customer profile (ICP) and sync them directly to LinkedIn. This tighter targeting drives higher quality leads, lowers costs, and improves overall campaign ROI.

For a deeper dive, check out the [LinkedIn Efficiency guide](https://www.sayprimer.com/use-cases/primer-linkedin).

#### Getting Started

Primer gives you the ability to create higher match rate audiences on the LinkedIn Ad platform. These audiences can be used across LinkedIn ad placements.

{% hint style="info" %}
Primer creates a **contact audience** in LinkedIn from your people audience.
{% endhint %}

#### Recommended Audience Size

LinkedIn has the smallest minimums among all of the ad platforms. Audiences as small as 300 contacts can still serve. On LinkedIn, bigger is not always better, and there is an upper limit of  300,000 contacts per audience. 

#### Assessing Match Rate

LinkedIn has by far the most granular and accurate reporting on audience size and match rate.

Go to your LinkedIn Campaign Manager and navigate to your Account Assets —> Matched Audiences

{% hint style="info" %}
It takes up to **72 hours** for a LinkedIn audience to fully match.
{% endhint %}

<figure><img src="/files/HT1A3N9p2flU77ep9pez" alt=""><figcaption></figcaption></figure>

FYI - Within LinkedIn you may occasionally see Matched **Audience Sizes that are greater than the size in Primer. Audience Size** is the total **targetable profiles** after accounting for opt-outs and matches across all input data. One profile can match to one, many, or the same destination profiles, so **Audience Size** can be larger or smaller than the **Matched Count** depending on these relationships.


---

# Agent Instructions: 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://support.sayprimer.com/primer/ad-destinations/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.