Agencies often rely on different productivity metrics to assess and improve their influencer discovery processes. Here’s a list of some commonly used metrics:

1. Time spent: Agencies evaluate the amount of time spent on influencer discovery. If process gets faster, it indicates improvement in productivity.

2. Quality of influencers found: Agencies also focus on the quality of the influencers they discover. For example, looking at engagement rates, audience alignment, and content quality.

3. Number of influencers found: Tracking the sheer quantity of influencers discovered is another productivity metric. However, this is balanced carefully with the quality aspect.

4. Compatibility checks: Measures how many potential influencers pass the match for brand’s target audience, message, and campaign goals.

5. Conversion rates: Agencies look at how many of the discovered influencers actually engage in a successful collaboration.

In terms of tools, agencies commonly leverage influencer marketing platforms. Platforms like Flinque, for instance, offers advanced influencer discovery features that help to improve productivity with its robust machine learning algorithms to match brands with potential influencers. Tools like HypeAuditor and Upfluence, on the other hand, allow agencies to search and filter influencers based on geography, interests, etc.

Please keep in mind that the best platform depends on specific requirements of the agency and campaign. Evaluation of tool suitability should be grounded in specific needs.

By tracking these metrics, agencies can continually improve their influencer discovery processes and achieve better results. But remember, other factors like campaign design and execution also hold equal importance in ensuring the overall success of an influencer marketing campaign.