When to hire a bid manager
No data is saved from this report, except for the PDF provided to you on export.
Model your win rate, RFP revenue share, and time per bid — then see whether dedicated bid ownership pencils out for your team.
Share of RFPs you win today. Industry average is ~45%; high-performing teams exceed 50%.
How much of your company revenue flows through formal bids and proposals.
Person-hours your team spends drafting, coordinating, and submitting one response.
How many RFPs, DDQs, and security questionnaires you respond to annually.
Used with your RFP revenue share to estimate deal value and payback.
Salary, benefits, and overhead for one dedicated bid or proposal manager.
How this calculation works
- Hire readiness score (0–100) blends win-rate pressure (lower rates score higher), revenue stakes (≥26% and ≥51% thresholds from high-win cohorts), and capacity strain (annual bid hours vs ~1,800 productive hours per FTE).
- RFP-influenced revenue = annual revenue × % influenced by RFPs. Implied ACV = RFP-influenced revenue ÷ (RFPs per year × current win rate).
- Projected win rate applies a conservative ~6 percentage-point uplift, tapered toward zero when your current win rate already exceeds ~55%. This reflects survey correlations — not a guaranteed causal lift.
- Revenue uplift = RFPs per year × win-rate delta × implied ACV. Payback = fully loaded bid manager cost ÷ monthly uplift.
- Verdict tiers: Hire now (readiness ≥70/100, or ≥60/100 with payback ≤12 months), Strongly consider (≥55/100 or payback ≤24 months), Not yet (otherwise).
- Primary research: AutoRFP 2026 Proposal Win Rate Report (94 bid professionals). Download: /downloads/proposal-win-rate-report-2026. Methodology: /blog/when-to-hire-a-bid-manager.
Hire readiness report
Live summary
- Annual bid hours
- 2,560
- RFP-influenced revenue
- $8,000,000
- Hire readiness score
- 65/100
Adjust the inputs and run the report to see your recommendation, economics, and payback estimate.
Build the business case