What analytics does a candidate rediscovery platform provide on database utilization and placements?

Most rediscovery platforms provide match counts against the total database size, a breakdown of where matched candidates originated, and outcome tracking on submission and placement rates through pilot reporting. The specific depth of placement-level analytics varies by vendor, so it's important to confirm the exact reporting capabilities before assuming a tool will meet your agency's needs.

Standard reporting usually shows how many candidates matched a specific job order out of your total bench size. This gives recruiters and account managers a quick overview of how deep the available pool is for a given client requirement. Results also break down by source, such as candidates from a specific client's previous job orders, general database uploads, or ATS-synced records. This helps identify which parts of the bench produce the strongest matches.

Platforms like Skima AI provide this level of reporting along with weekly tracking during a structured pilot period. This includes metrics like time-to-screen, submission rates from the shortlist, and responses from hiring managers or account managers. Each match is logged to the candidate's record, allowing recruiters to review placement history and see exactly which job orders a candidate matched and how each submission was received.

If your agency requires deeper analytics, such as placement conversion rates by recruiter or client-specific submission-to-placement ratios over multiple quarters, confirm this with any vendor rather than assuming it comes standard. Built-in reporting typically covers match and pilot-level outcomes, while deeper placement analytics may need integration with your agency's own reporting tools.