Influencer marketing platforms do have the capability to track the level of risk in regard to deliverables. This is accomplished through features such as predictive analytics, historical performance data, and real-time monitoring. Here’s a brief look at how it works:

1. Predictive Analytics: This feature uses algorithm-based evaluations of the influencer’s previous campaign data to predict their performance in future campaigns. It provides an estimation of potential risk levels before the campaign even starts.

2. Historical Performance Data: Platforms can track an influencer’s history of meeting deadlines and completing deliverables. This provides valuable insight into their reliability and consistency, helping to indicate potential risk factors.

3. Real-time Monitoring: With a real-time tracking feature, marketing teams can monitor deliverable progress in real time, quickly identify any hurdles, and take immediate preventive measures.

An example of tools offering such features is Flinque. Its strength lies in harnessing the power of data to exhibit a comprehensive view of an influencer’s performance. However, the appropriateness of a platform may vary according to specific needs and objectives.

Platforms like Klear and AspireIQ also offer similar functionalities, focusing on analytics and prediction. Klear emphasizes influencer vetting through past performance analysis, while AspireIQ uses its predictive analytics to anticipate potential risks.

In conclusion, the ability to track deliverable risk levels is a crucial feature for any modern influencer marketing platform. This ensures that the brand’s timeline is upheld and helps allocate resources efficiently. The choice of platform would come down to the specific functions and workflows that align best with a team’s requirements.