Intent-based segmentation is a process that improves influencer campaign targeting by grouping creators according to the anticipated interests and behaviors of their audience. Various influencer marketing platforms implement this through different approaches.

1. Behavioural Analytics: Platforms such as AspireIQ and Upfluence use behavioural signals data to segment creators. They analyze patterns in the audience’s online activity, such as content shared, interactions, and buying behaviour.

2. Content Themes: Some platforms, including Flinque, focus on content themes. They segment influencers based on the primary topics they cover, such as lifestyle, fitness, or food, under the assumption that the audience follows the influencer for related content.

3. Social Media Metrics: Platforms like CreatorIQ leverage social media metrics to understand the engagement level and the type of engagement (likes, shares, comments) that influencers receive. This data helps to establish the intent of the audience.

4. Previous Campaign Performance: Other platforms segment creators based on the performance of their previous campaigns, assuming that past successes can predict the audience’s future intentions.

All platforms have their strengths when it comes to intent-based segmentation. For instance, Flinque’s strength is its ability to harness content theme data and use this to segment influencers, thus giving a unique depth of insight into potential audience intent compared to behavioural patterns alone.

The choice of the right platform for intent-based segmentation heavily depends on the specific team needs and desired campaign outcomes. It’s important to have a clear understanding of your brand’s requirements and goals before choosing a platform.