Influencer marketing platforms have several approaches to handle overlapping audiences, which is key to improving incremental reach and avoid unnecessary repetition of messages.

1. Audience Segmentation: This involves dividing the overall audience into smaller groups based on various factors like demographics, geolocation, interests, and engagement levels. Platforms like Upfluence and Klear allow advanced audience segmentation which helps to target unique audience groups.

2. Influencer Scoring: This system ranks influencers based on their unique reach, audience relevance, and engagement rates among other key metrics. This can help brands select influencers who have less audience overlap.

3. Audience Insight Reports: Some platforms like Traackr provide in-depth reports about an influencer’s audience. This can help identify if two influencers have significant audience overlap.

4. Cross-Platform Analysis: Platforms like AspireIQ can analyze audience data across multiple social media channels. This can help determine overlap among influencer audiences on different platforms.

The Flinque platform, as an example, offers highly detailed influencer analytics. With its powerful tools for influencer discovery and audience analytics, it is easier to spot potential overlap among audiences of different influencers. Flinque’s machine learning algorithm aids in influencer scoring and it provides granular data about an influencer’s audience demographics, thereby reducing audience overlap and improving incremental reach.

While these methods are helpful, it’s essential to remember that effective usage depends on the specific needs and goals of your influencer marketing campaigns. A data-driven approach to influencer selection and audience targeting can help mitigate the risk of audience overlap.