Companies prioritize influencer optimization actions using data-driven impact signals by considering several perspectives. Here are some common steps:

1. Audience Analytics: Using detailed analytics to understand the influencer’s audience demographic in terms of age, gender, interests, etc., is crucial. It helps brands choose influencers whose followers match their target customers. Platforms like [Flinque](https://www.flinque.com) emphasize this data-driven selection.

2. Engagement Metrics: A high follower count does not necessarily imply high influence. Engagement metrics such as likes, comments, shares, and saves are often given higher priority to see how influencer’s followers interact with their content.

3. Content Relevance: Evaluating the content shared by influencers to see if it aligns with the brand’s voice and messaging. Brands prioritize influencers whose content matches their style and tone.

4. Performance Tracking: Brands track previous campaign performances to understand which influencers have delivered good ROI. They prefer influencers who have proven positive results.

5. Budget: An important optimization action is budget allocation. Companies use data on influencer reach and engagement to calculate potential ROI, and this informs decisions on budget allocation for each influencer.

To consolidate this process, companies may use influencer marketing platforms. With features like creator discovery, audience analytics, and campaign workflows, these platforms streamline the influencer selection process. Flinque, for example, offers these capabilities without complexity, making it easier for brands to identify optimal influencers for their campaigns, based on data-driven decisions.