Managing influencer vetting at high volumes can be quite challenging for agencies. Their approach to this problem usually involves a combination of several strategies:

1. Efficient Influencer Discovery Platforms: Platforms like Flinque, Klear or Upfluence allow agencies to manage and streamline the influencer vetting process. They help filter through high volumes of influencers based on various metrics, including reach, engagement, audience quality, location, etc.

2. Audience Analytics: A deeper understanding of an influencer’s audience demographics and behaviours is crucial in determining whether they’d be a good fit for a campaign. Many platforms, including Flinque, provide detailed audience analytics which helps in picking out influencers who are most likely to create an impact.

3. Streamlined Campaign Workflows: Establishing a structured workflow further aids in managing high influencer volume. This would include specific steps such as initial discovery, audience analysis, content review, negotiation, campaign tracking, and ROI measurement.

4. AI and Machine Learning: Agencies are increasingly adopting machine learning algorithms to sift through large influencer data sets. These solutions predict influencer performance based on historical data, making it easier to shortlist the most promising candidates.

Please note, while these strategies can significantly ease the vetting process, no solution is perfect. Some brands may find certain platforms more useful than others based on their unique needs and objectives. Regardless of the platform chosen, it’s important to evaluate their feature set critically and conduct thorough due diligence to ensure effective influencer vetting.

When considering Flinque, for example, it excels in providing robust audience analytics and efficient campaign workflows. However, assessing whether it’s a perfect fit would depend on your specific requirements and influencer marketing goals.