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Business Operations

What Is Bid-Hit Ratio?

Bid-hit ratio is the percentage of submitted proposals that a service company wins, indicating how competitive and accurate their estimating process is.

By Ironback AI Team · Published Feb 27, 2026

Definition

Bid-hit ratio (also called win rate) is the number of jobs won divided by the number of bids or proposals submitted over a given period, expressed as a percentage. A company that submits 40 bids in a quarter and wins 12 has a 30% bid-hit ratio. This metric reveals whether your pricing is competitive, your estimating process is accurate, and your sales follow-up is effective. Bid-hit ratio varies significantly by market segment and bid type. Competitive open bids for public work typically run 15-25% win rates. Negotiated bids with existing customers hit 50-70%. Emergency service calls that convert to jobs run 70-90%. The blended ratio across all bid types tells you how efficiently your estimating department is spending its time. A ratio that's too low means you're spending estimating resources on bids you can't win, either because pricing is off or because you're bidding outside your competitive sweet spot. A ratio that's too high might mean you're leaving money on the table by pricing too low. The sweet spot for most specialty trade companies is 25-40% on competitive bids, depending on the trade and market conditions.

Why It Matters for Your Business

Every bid costs money to prepare. For a specialty trade company, a detailed estimate takes 4-15 hours of labor plus site visit costs. At a 20% win rate, 80% of that estimating labor produces zero revenue. Improving your bid-hit ratio from 20% to 30% means you win 50% more jobs with the same estimating effort. That's the equivalent of adding an estimator without the salary. Track it by job type, customer type, and project size to find where you win and where you waste effort.

How Bid-Hit Ratio Works Across Industries

Fire Sprinkler Companies

Fire sprinkler companies bid on new construction installations (competitive, 15-25% win rate), tenant improvement projects (moderate, 30-45%), and deficiency repair work from their own inspections (high, 60-80%). The companies that track bid-hit ratio by category discover they should spend less time on competitive new construction bids and more time on deficiency conversion, where the win rate is 3-4x higher and the estimating cost is near zero because they already surveyed the building.

Commercial HVAC Companies

HVAC bid-hit ratios reveal whether you're competitive in your target market. A 12% win rate on commercial replacement projects suggests your pricing is too high or your proposals don't differentiate. A 55% win rate on maintenance contracts suggests you're competitive and following up well. Tracking by category helps allocate estimating resources to the highest-return bid types.

Crane Service Companies

Crane companies bid on project lifts (competitive, 20-35%), emergency crane service (relationship-based, 50-70%), and long-term project placements (negotiated, 40-60%). The estimating effort for a project lift bid is significant because it requires load calculations, ground assessments, and mobilization planning. Tracking bid-hit ratio prevents over-investing in bid types with low win rates.

Before & After AI

Without AI

The estimator bids every project that comes in without tracking outcomes. Nobody knows the win rate by category. The same estimating effort goes into a $5,000 repair quote and a $200,000 new construction bid. Three months later, the owner wonders why the estimating department is buried but revenue isn't growing proportionally.

With AI

AI tracks every bid outcome and calculates bid-hit ratio by job type, customer type, project size, and estimator. Patterns emerge: you win 45% of tenant improvement bids but only 8% of general contractor open bids. The system recommends focusing estimating time on high-probability bid categories and automating quick-turn quotes for smaller jobs.

Real-World Examples

Fire sprinkler company reallocates estimating to high-win categories

A fire sprinkler company tracked bid-hit ratio for 6 months and discovered their win rate on general contractor open bids was 11% while their deficiency repair conversion rate was 72%. They reduced GC bid volume by 40% and invested that estimating time into faster deficiency-to-quote turnaround. Total wins increased 18% while estimating hours decreased 15%.

HVAC company identifies pricing sweet spot

A commercial HVAC company analyzed bid-hit ratio by project size. They won 38% of jobs under $25,000, 29% of jobs $25K-$75K, and only 9% of jobs over $75K. Their estimating was optimized for mid-size work but they were spending 40% of estimating time on large projects they rarely won. They adjusted their focus and blended win rate improved from 22% to 31%.

Crane company discovers speed-to-quote advantage

A crane service company tracked bid-hit ratio by response time. Bids submitted within 24 hours of the request had a 42% win rate. Bids submitted after 3+ days had a 14% win rate. They implemented AI-assisted estimating that cut quote turnaround from 4 days to 6 hours. Win rate on competitive bids improved from 22% to 34%.

Key Metrics

25-40%target bid-hit ratio for competitive specialty trade bids
72%typical win rate on deficiency repair quotes from own inspections
18%increase in total wins by focusing estimating on high-probability categories
3xdifference in win rate between fastest and slowest quote responders

Frequently Asked Questions About Bid-Hit Ratio

What's a good bid-hit ratio?

It depends on the bid type. Competitive open bids: 20-30% is good. Negotiated bids with existing customers: 50-60% is expected. If your competitive ratio is under 15%, your pricing may be too high or you're bidding outside your strengths. If it's over 50%, you might be pricing too low.

Should I bid on everything that comes in?

No. Selective bidding improves your ratio and reduces wasted estimating time. Set criteria: minimum project size, geographic range, trade alignment, and customer payment history. A disciplined no-bid decision is often more valuable than a low-probability bid that consumes 15 hours of estimating.

How does follow-up affect bid-hit ratio?

Significantly. Companies that follow up on submitted bids within 3 days win 30-40% more often than those that submit and wait. A quick call to confirm receipt, answer questions, and reinforce your value proposition turns a 25% win rate into a 35% win rate with minimal additional effort.

Can AI improve my bid-hit ratio?

Yes, in two ways. First, AI speeds up estimating so you submit quotes faster, which directly improves win rate. Second, AI analyzes historical bid data to identify patterns: which job types you win, which customers choose you, and which project sizes hit your sweet spot. You stop wasting time on low-probability bids.

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