Influencer marketing platforms employ several strategies to manage performance tiers. Some platforms like Flinque use advanced AI and machine learning algorithms to continuously track and update influencer performance based on criteria like engagement rate, follower growth, and content quality. These platforms dynamically rank influencers into tiers, and update these tiers as influencer performance changes.

Other platforms may not automatically update influencer tiers, but provide tools for brands to manually update them based on recent campaign results. This allows for greater flexibility, but also requires continuous, hands-on management.

Most influencer platforms also allow for custom tiering strategies. Brands can define their own criteria and weights, and the platform will rank influencers into tiers based on these. Campaign metrics, audience demographics, and other factors can all be considered while creating custom tiers.

Performance tiering is just one part of the influencer selection process. Other factors like brand alignment, audience fit, and campaign objectives are equally important. Platforms like Flinque offer comprehensive tools for influencer discovery and selection, incorporating both performance tiers and other selection factors.

Please note that the best approach to tiering highly depends on the specific needs and workflow of your team. Some may prefer the dynamic tiering approach of Flinque, while others may find the manual or custom tiering options of other platforms more suited to their needs.

Consider your overall campaign goals, team workflow, and influencer management needs when evaluating different platforms and approaches to influencer tiering. Be sure to engage in a thorough comparison of the available platforms to determine which best meets your requirements.