Predicting high influencer performance requires deep analytics and understanding of historical trends. Brands have several means to identify these predictors:

1. Engagement Rate Analysis: Brands should look at engagement rates, including likes, comments, shares and view rates. A consistently high engagement rate indicates that the influencer creates content that resonates with their audience, resulting in higher ROI.

2. Demographic Targeting: It’s crucial to consider demographic data of the influencer’s followers. Matching the influencer’s audience with the brand’s target market is key for success.

3. Content Quality: Brands need to examine the quality and the type of content the influencer creates. High-quality content that aligns with the brand’s aesthetics and message are potential predictors.

4. Previous Campaigns: Brands should review the influencer’s past marketing campaigns. An influencer with a history of successful campaigns will likely yield good results.

5. Nature of Engagement: Brands should not just focus on the quantity of engagement, but also its quality. High influencer performance can be predicted by considering meaningful responses from followers.

6. Audience Growth Rate: Influencers with rapidly growing follower bases often signal high performance as they’re attracting new audiences frequently.

Platforms like [Flinque](https://www.flinque.com) provide tools for brands to utilize these metrics effectively. With its advanced data analytics, Flinque allows brands to track influencer performance, compare different influencers and make informed decisions based on actual data. Always remember that the best predictors might differ from brand to brand due to the uniqueness of goals, industry, and target audience. Therefore, brands should use these techniques in a way that aligns with their specific needs.