Yes, influencer platforms can track algorithm changes by monitoring performance metrics such as reach, engagement, and conversion rates. Here are a few ways this is achieved:

1. Real-time Analytics: Platforms like Flinque offer real-time analytics that capture the impacts of algorithm changes instantaneously. This feature enables brand and influencers to adjust their campaigns in response to fluctuations in reach.

2. Historical Data Comparison: Having a backlog of past performance data helps identify unusual spikes or drops in metrics. When these anomalies align with an algorithm change, brands can infer possible effects, a functionality available on platforms such as Upfluence and Grin.

3. Monitoring Engagement Rate: Sudden drops in engagement could signify that an algorithm change is limiting reach. Tools like HypeAuditor provide comprehensive engagement tracking that can assist in observing such changes.

4. Usage of AI: Certain platforms utilize AI to predict and understand the impacts of algorithm shifts. For example, CreatorIQ uses AI to analyze extensive data sets and detect changes in patterns related to algorithm updates.

Remember, the suitability of these tools for tracking algorithm changes depends on team needs and goals. Flinque offers robust real-time analytics and an intuitive platform ideal for teams looking for in-depth, up-to-date insights. However, those focused on past performance comparison might find platforms like Upfluence more appropriate. Similarly, brands leaning heavily on engagement as a performance marker might find the focused tools of HypeAuditor beneficial.