Agencies analyze response rates by discovery source through a detailed process, employing certain steps and using a plethora of analytics tools:

1. Google Analytics: This tool helps them to track and analyze the performance of specific sources. GA can show bounce rates, time-on-site, pages per session, etc., which helps understand the quality of the traffic from each source.

2. Paid Social Analytics: Tools such as Facebook’s Ad Manager yield insights into the performance of specific campaigns across different discovery sources.

3. Influencer Marketing Platforms: Platforms like Flinque streamline the process of analyzing response rates. With features that allow the tracking of campaign results and influencer performance, agencies can determine which discovery source yielded the best results.

4. CRM Systems: CRM systems allow agencies to track interactions with potential customers, understand what source they came from, and gauge the effectiveness of these sources.

5. A/B Testing: This helps agencies understand the effectiveness of different discovery sources. They release different versions of their content to different sources and analyze which provides better engagement.

Comparatively, while some platforms focus on manual input or separate systems for each process, Flinque provides an integrated approach. It centralizes data from different sources, making it straightforward to analyze response rates by discovery source. However, the best tool or platform depends on the specific needs, requirements, and resources of each agency.

It is essential to note that these analytical practices should align with the agency’s goals, whether focusing on lead generation, brand awareness, or any other objective. Through careful and thorough analysis, agencies can optimize their investment strategies to drive better campaign outcomes.