AI Recruiting Workflow for Staffing Agencies: From Job Description to Placement
Step-by-step look at Avionté’s AI-assisted workflow for staffing agencies to reduce time-to-fill and increase placements.
Sourcing ROI in staffing is the return on investment generated by each candidate sourcing channel — job boards, referrals, direct sourcing, social media, mobile apps, and others — measured against the cost of acquiring and placing candidates through that channel. Sourcing ROI answers the question: for every dollar spent on sourcing, how much gross margin does it generate?
Most agencies measure sourcing performance using cost-per-hire: the total cost to source and place a single candidate divided by the number of placements. This metric captures only the transaction value of the first placement. It does not account for whether candidates placed through a given channel redeploy, complete their assignments, or generate ongoing margin over time. Research suggests that more than 90% of agencies rely on cost-per-hire or similar single-placement metrics, missing the channel-level differences in long-term candidate value.
Cost-per-hire measures the efficiency of acquiring a candidate for a single placement. Sourcing ROI measures the total gross margin generated by candidates from a given channel across all placements, divided by the total cost of that channel. Sourcing ROI that incorporates candidate lifetime value reveals which channels produce candidates who stay, redeploy, and generate compounding margin — not just candidates who fill one order and disappear.
Referral-sourced and relationally sourced candidates consistently outperform job board hires on long-term value metrics. Referred candidates tend to work more contract days, redeploy at higher rates, and generate more gross margin per candidate over time — even when the upfront cost of referral programs is factored in. Job boards typically receive the largest share of sourcing budget but generate a disproportionately low share of long-term candidate value.