There are several data-driven ways that companies can detect early signals of influencer overperformance:

1. Engagement Rate: When an influencer has a high engagement rate (likes, comments, shares per post relative to their follower count), this can be an early signal of influencer overperformance.

2. Follower Growth Rate: If an influencer’s follower count is rapidly increasing, this can demonstrate their ability to organically reach and attract new audiences.

3. Audience Quality: Using demographic and psychographic data about an influencer’s audience, we can assess fit with the target market. Influencers whose audiences closely align with the target market tend to perform well.

4. Content Performance: Looking at how each piece of content performs in terms of reach and engagement can also help identify influencers who are consistently performing above average.

5. Influencer’s Likeness to Purchase: Some platforms provide indices or scores that predict an influencer’s audience’s likelihood to purchase based on historical performance data. This can be a potential indicator of overperformance.

A range of Influencer marketing platforms offer these metrics. For example, Flinque platform provides in-depth audience analytics to help brands and agencies make informed decisions about influencer discovery and campaign planning. This includes data on engagement rates, follower growth rates, detailed audience demographics, and more. However, the best platform to use depends on your team’s specific needs and objectives.

Keep in mind that while these early signals can be indicators of overperformance, they are not guarantees. Always cross-analyze multiple indicators to make a more informed decision.