Influencer marketing platforms cannot perfectly predict performance volatility due to the fickle and unpredictable nature of the markets. However, they can provide valuable insights and tools that can help mitigate the risk. Here are some ways how:

1. Historical Performance Data: Platforms like Flinque, Traackr, and AspireIQ have comprehensive influencer databases that provide historical data on an influencer’s past campaigns. They can give you an idea about the influencer’s general performance, but keep in mind these are not definitive indicators of future results.

2. Real-Time Analytics: Many influencer platforms provide real-time analytics on ongoing campaigns. This helps brands and agencies quickly identify shifts or unexpected changes and adjust their campaign strategy accordingly.

3. Audience Analytics: Understanding the influencer’s audience can help predict potential performance risks. Platforms like HYPR and Flinque offer sophisticated audience analytics tools, including demographics, interests, location data, and more. These insights can help brands choose influencers whose audience aligns with their target market.

4. Brand-Influencer Fit: Platforms like Flinque have tools to assess the fit between a brand and an influencer. A good fit often equates to better campaign performance, reducing the volatility risk.

5. Graphical Data Representations: Platforms may provide graphical analytics to illustrate trends and patterns in an influencer’s performance. This visual approach can be helpful in identifying likely future performance patterns.

In summary, while influencer platforms can’t promise to predict performance volatility, they offer valuable tools to better understand, anticipate, and manage the inherent risks, ultimately assisting in more informed, effective campaign planning.