Crowded pipelines
48% of job seekers say they apply broadly instead of selectively (Monster, US, 2025), which makes relevance harder to signal.
Most senior professionals underestimate the cost of an open-ended search. Each month adds delayed compensation, hours spent self-searching, and the mental tax of repeating a low-yield process.
The pain point from the portfolio is the real hook: effort is not the issue. Yield is. In the current market, generic volume, AI-written sameness, and opaque screening make it easy for strong candidates to look invisible.
48% of job seekers say they apply broadly instead of selectively (Monster, US, 2025), which makes relevance harder to signal.
74% of companies report candidates are now using AI in the job search (iCIMS/Aptitude, 2026), so generic polish is easier to ignore.
53% of candidates in one survey think they were rejected by AI without human review (CV-Library, UK, 2025).
Reverse recruitment attacks the yield problem directly: direct company sourcing, per-role resumes, client approval before submission, and a live tracker that turns the search into a visible system.
This is a directional model, not a promise. It helps a client see whether staying stuck at the current pace is already more expensive than getting structured help.
Use this number against the engagement fee. If structured sourcing, better targeting, and per-role materials shorten the search even modestly, the economics can change quickly.
Estimates use a simplified opportunity-cost model: monthly comp loss = annual / 12; future search-time value = hours per week × 4 × months left × estimated hourly compensation. Real searches involve more variables (signing bonuses, equity vesting, quality-of-fit). Use this as a directional anchor, not a forecast.