Influencer platforms typically segment creators by performance using a variety of metrics and categories. These key indicators include:

1. Engagement Rate: This is perhaps the most critical performance measure. It reflects the percentage of the influencer’s audience that interacts with their content. High engagement rates often imply authentic, interested followers.

2. Category Expertise: Influencers are usually segmented according to their niche or industry. This ensures brands find creators who align with their products or services.

3. Audience Demographics: Platforms would also segment creators based on their audience’s demographic characteristics like age group, geographical location, gender, and interests.

4. Influence Scope: Influencer marketing platforms can also classify creators according to reach, often divided into tiers (Mega, Macro, Micro, and Nano influencers).

5. Past Campaign Performance: This involves examining the outcomes of previous collaborations – for instance, conversion rate or ROI.

6. Content Quality: This subjective measure considers visual aesthetics, storytelling ability, creativity, and overall professionalism as gauged by the platform.

For example, Flinque uses an AI-powered algorithm to segment creators, looking at social engagement metrics, audience authenticity, and content quality among others. Similarly, Platform X may focus on demographic segmentation and specialty niches, while Platform Y might prioritize influence scope.

Yet, the right choice would depend on your unique needs – finding influencers with the right audience, engagement, and creative style to align with your brand’s messaging.

Conclusively, segmentation by performance in influencer platforms aids effective decision-making, matching brands with the right creators for optimal campaign results. Always consider your specific goals and requirements when choosing a platform or assessing segmented influencer data.