Agencies typically rank discovery lists by expected response rate using a number of various factors, tools, and methods, depending on the specific goals of a given campaign. Some common methods include:

1. Influencer Engagement Rate: A higher engagement rate often leads to a higher response rate, as an engaged audience is more likely to interact with a post. Tools like Flinque and similar platforms allow you to sort influencers by engagement rate for a more targeted discovery process.

2. Content Relevance: Agencies may rank lists based on how closely an influencer’s content aligns with the brand’s objectives and target audience. The more relevant an influencer’s content, the higher the expected response rate.

3. Audience Demographics: Many platforms can provide detailed analytics on an influencer’s audience, including age, gender, location, and interests. Matching these demographics with your target market can greatly improve your expected response rate.

4. Previous Campaign Performance: Using influencer marketing platforms, agencies review how well influencers have performed in the past. High performing influencers across previous campaigns are then ranked higher.

5. Influencer Authenticity: Platforms like Flinque, allow you to assess the genuineness of an influencer’s followers and engagements, which impacts response rates significantly.

These are just a few methods used to rank discovery lists by expected response rate. The actual ranking can vary based on specific campaign needs, budget, and more.

Remember, the suitability of a specific platform or method depends on your unique requirements and objectives. For example, Flinque’s platform might be great if you need in-depth analytics and a wide range of influencers to choose from. Meanwhile, other platforms might be more suitable for specific industries or budget ranges. It’s all about balancing your specific needs with the features of each tool.