Executive Summary

Many companies—especially SMBs and their recruiters or TA teams—lose applicants and ad spend whenever they migrate or reconfigure ATS postings because of visibility mismatches, feed breakdowns, or job-board rule changes, and they currently have no easy way to diagnose where applicants disappeared. This pain is acute after migrations and for organizations that rely on distributed job posting channels but lack engineering resources to trace delivery issues. You could build a diagnostics-and-recovery platform that scans pre- and post-migration posting footprints, pinpoints configuration and visibility gaps, models sponsorship ROI by board, and automates remediation (e.g., posting fixes, sponsorship recommendations, and AI-driven job-copy optimizations with A/B testing). It would integrate with major ATSs and job boards, surface quantitative impact estimates, and provide one-click recovery actions so recruiters see measurable applicant lift without manual troubleshooting. The timing is compelling: a $3.6B addressable market (1.2M hiring orgs × ~$3K ACV) with rising ATS adoption among SMBs, shifting job-board economics favoring sponsored content, and quick gains possible from AI-enhanced ad copy — the market and revenue potential score 85/100 and competition is medium. This can stand out by combining forensic diagnostics, automated fixes, and clear sponsorship ROI metrics into a low-touch productized service that proves recovery in pilots; the main challenges will be building reliable integrations with many ATSs/job boards and demonstrating convincing, repeatable ROI during early sales.

Market Opportunity

Diagnose and recover lost applicants after ATS posting migration targets a $3.6B = 1.2M hiring organizations × $3K ACV (annual spend on job distribution, posting optimization, and visibility tooling) total addressable market with medium saturation and a year-over-year growth rate of 8% YoY (HRTech and recruitment advertising market growth; market reports from LinkedIn and HRTech studies indicate steady growth driven by hiring demand and ad spend).

Key trends driving demand: ATS adoption is increasing among SMBs — this creates configuration and visibility mismatches that require a diagnostic layer.; Job boards are changing free-posting rules and favoring sponsored content — employers need help deciding where sponsorship yields ROI.; AI-driven ad copy optimization is rapidly improving apply-rate lifts, enabling automated improvement without creative teams.; Shift toward data-driven recruiting means buyers expect measurable ROI (cost-per-hire, apply-rate lifts) from tooling investments..

Key competitors include Broadbean (Idibu), Textio, Greenhouse.

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Diagnose and recover lost applicants after ATS posting migration

Executive Summary

Market Validation

Market Opportunity

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