How does LinkedIn determine the relevance score of an ad?

LinkedIn determines the relevance score of an ad primarily through a combination of metrics that reflect how well the ad resonates with its intended audience. This includes assessing click-through rates, which indicate how often users are clicking on the ad in relation to its impressions, as well as user engagement metrics such as likes, comments, and shares. Additionally, user feedback, which might encompass positive or negative reactions to the ad, plays a critical role in evaluating its relevance.

This approach ensures that the relevance score provides a more comprehensive view of an ad's effectiveness, taking into account not just how many people see the ad, but how those viewers interact with it and their sentiments towards it. This holistic analysis allows advertisers to understand the performance of their ads better and make informed adjustments to improve effectiveness.

In contrast to the other options, merely relying on ad design and budget, the number of shares, or views alone does not capture the full spectrum of audience interaction and sentiment, which are crucial for determining relevance in the competitive advertising landscape on LinkedIn.