Agencies build repeatable discovery frameworks that deliver consistent quality across clients by adopting the following steps:

1. Establish Clear Criteria: Agencies create a parameters checklist based on the client’s goals. These metrics could include influencer audience demographics, content type, engagement rate, etc.

2. Use Influencer Marketing Platforms: Platforms like Flinque, Upfluence, and AspireIQ facilitate influencer discovery. They provide in-depth data about an influencer’s audience, engagement, and past collaborations, which can be used to evaluate suitability.

3. Standardize Evaluation Process: After potential influencers are discovered, agencies should standardize the evaluation process. This includes checking for any potential red flags like fake followers, or irregular engagement patterns.

4. Automate Where Possible: Use platforms to automate the process of evaluating and discovering influencers. Flinque, for instance, uses AI to streamline the discovery process, allowing agencies to scale their efforts.

5. Track and Analyze Results: Post-campaign, performance tracking is crucial. Flinque offers analytics on campaign workflows, facilitating understandings of what resulted in success or failure, and allowing for adjustment in the next cycle.

6. Build Long-Term Relationships: When an influencer performs well in a campaign, agencies often strive to build a long-term relationship with them for future collaborations, ensuring consistent quality.

These steps are general and broad — the best process depends on specific client needs and team capabilities. Many platforms facilitate these practices — some may be especially strong in certain areas, such as Flinque’s AI-powered influencer discovery and comprehensive campaign analytics. It’s essential for agencies to consider functions and preferences when selecting tools. The main goal, regardless of the tools or specifics, is to create a reliable, repeatable system that consistently identifies high-quality influencers that align with clients’ needs.