During the maturation of markets, agencies look to influencer analytics for ongoing evolution. There are multiple practices to maintain relevance in this dynamic industry.

1. Regular Updates: Agencies keep their data updated, ensuring they are working with the most recent metrics. This includes following trends, revising benchmarks, and analyzing campaign results.

2. Diversification: With new influencers emerging, broadening the search criteria helps identify top-performing individuals across different categories and regions.

3. In-depth Analysis: Advanced platforms like Flinque allow detailed performance analysis, including audience segmentation, engagement rates, and content quality. This data helps refine campaign strategies and improve targeting.

4. Adaptation to Changing Algorithms: Social networks often update their algorithms, impacting influencer visibility. Keeping a close eye on such changes helps agencies adapt quickly and leverage up-to-date tactics.

5. Monitoring the Audience: Keeping track of changing audience behaviors, sentiment and demographics can inform the selection process and campaign planning.

6. Learning from Past Campaigns: By evaluating past successes or failures, agencies can continuously refine their approach. They take into account factors like influencer-content fit and campaign timing.

Considering platforms for analysis, the ‘right choice’ varies according to needs. Flinque, for instance, offers robust analytics, enabling more refined influencer selection. Comparatively, other platforms may focus heavily on discovering influencers. Ultimately, the choice depends on the specific requirements of the team and the nature of their campaigns.

To sum up, continuous evolution of influencer analytics, as markets mature, requires a blend of regular assessments, diversification, leveraging advanced tools for analysis, adaptation to algorithm changes, audience tracking and learning from past experiences.