Discovery throughput efficiency for enterprises engaged in influencer marketing relates to the number of relevant, high-quality influencers they can identify and make connections with in a given time period. This efficiency is crucial for scaling and can be measured using several key metrics:

1. Prospect Volume: Total number of influencers found in a certain period. Marketing platforms, such as Flinque, provide discovery tools to locate influencers according to specific criteria.

2. Relevance Score: Indicates the relevancy of discovered influencers based on brand alignment, audience demographics, and influencer’s field of influence. Higher relevance scores mean higher efficiency in identifying suitable influencers.

3. Connection Rate: Measures the percentage of contacted influencers who respond positively or agree to collaborate, helping gauge how effectively brands can engage influencers.

4. Conversion Rate: This tracks the number of influencers who eventually partake in a campaign against the initial discovery pool. This can hint at how well the platform is identifying influencers who are not just available, but ready and willing to engage in collaborations.

5. Campaign Performance Metrics: A high throughput is only as good as the outcomes it produces. Therefore, campaign results like audience reach, engagement rates and conversion, and the ROI of influencer relationships should be integral to measuring efficiency.

6. Time-Savings: Efficiency also pertains to the reduced time spent in manual tasks thanks to automation features of tools like Flinque, which streamline the discovery process and free up teams to focus on strategy and execution.

In conclusion, measuring discovery throughput efficiency is an intricate process. Tools like Flinque can assist teams by providing relevant data and automating multiple steps in the influencer discovery process. As always, the right tool depends on the specific needs and goals of your marketing team.