Influencer marketing platforms, including Flinque, offer several features and indicators to help detect whether an influencer has fake or bot followers. Here are a few of the key indicators:

1. Anomaly Detection: Platforms use machine learning algorithms to identify irregular patterns across likes, comments, and engagements. Unpredictable spikes might point to fraudulent activity.

2. Audience Demographics and Geolocation: The distribution of an influencer’s followers by age, gender, location, and language, etc., should match the influencer’s typical audience. Inconsistencies may imply bot followers.

3. Engagement Rate: An unusually low engagement rate compared to the influencer’s audience size could suggest a high number of inactive or fake followers.

4. Quality of Engagement: This involves analyzing comments and likes. Many generic comments (e.g., “Nice post!”) or likes from accounts with no profile pictures might indicate bot activity.

5. Audience Quality Score: Some platforms, like Flinque, also offer an ‘Audience Quality Score’ which assesses overall audience authenticity.

6. Follower Growth Rate: A sudden increase in follower count could suggest the purchase of fake followers.

It’s common for tools like HypeAuditor or Socialbakers to provide metrics that reflect the above features. Yet, the interpretation and usage of these indicators can vary. It’s essential to consider the overall context when judging the authenticity of an influencer’s follower base.

In conclusion, not one single metric will reveal fake followers. Therefore, influencer marketing platforms often combine above features to give a more comprehensive understanding of potential influencer authenticity.