Why pricing your bids at 9pm is hurting your win rate

Most of the conversation about bid speed focuses on volume. More bids per week, more opportunities, more revenue. That’s all true.

But there’s a less obvious connection between how fast you’re bidding and what you actually win, and it has more to do with what condition you’re in when you make the margin decision than how many bids you submitted.

The 9pm problem

Commercial flooring reps doing four or five bids a week in season are typically finishing their bids on Thursday night. The pricing loop, reading supplier quotes, normalizing units, chasing the last few replies, takes most of Wednesday and Thursday. By the time the prices are in and you’re setting margin, it’s evening.

That’s when the margin decisions get made.

The margin call you make at 9pm Thursday when you’re tired and rushed is different from the margin call you’d make at 2pm Thursday when you’ve had a clear afternoon. Both bids get submitted. The Friday morning submissions are identical in format to the Tuesday afternoon ones. But the quality of the decision inside the bid is not the same.

This is hard to see in your own data because you don’t know what you would have done differently with more time and more energy. What you can measure is what you won and what you didn’t, and whether the pattern has anything to do with bid timing.

Accuracy and the cost of manual data entry

There’s a more direct way that rushed pricing affects win rate, and it’s through errors.

Manual entry of supplier prices, reading a PDF and typing the number into a spreadsheet, introduces transcription errors at a predictable rate. Not because estimators are careless. Because any manual data entry process run at volume and speed produces errors. The research on this is consistent across industries: error rates on manual data entry run between 1 and 4 percent of entries, depending on conditions.

In commercial flooring bidding, those errors cut in two directions.

A transposed digit or a unit conversion mistake that makes a line item cheaper than it should be produces an underbid. You win the job and lose money on it. A digit that makes a line item more expensive produces an overbid. You lose a job you could have won profitably.

In our shop, before we started automating the pricing process, we tracked a handful of jobs where our bid was clearly out of range compared to what the job was awarded for. Some of those gaps were intentional (we priced high on a GC we didn’t want to work with). Some weren’t. We had a few cases where we were noticeably high on a spec we’d priced dozens of times before, and when we went back and looked, we found a freight line that had been doubled or a unit that hadn’t been converted.

Those jobs weren’t lost because our pricing was wrong in principle. They were lost to a keystroke error.

Early submission matters more than most reps think

GCs reviewing bids on a Friday afternoon are looking at somewhere between 10 and 30 proposals depending on the scope of work and how many subs they invited. The ones that came in Tuesday and Wednesday got reviewed when they arrived. The ones that came in Friday morning at 11am are in a pile.

Some GCs hold everything until the deadline and review the full set at once. But many form early impressions on the bids that came in before the rush, particularly on scopes they’ve awarded before and have a feel for what reasonable pricing looks like.

There’s no guarantee that submitting early wins you anything. But in markets where you’re competing for relationships with GCs you haven’t worked with yet, being the flooring sub who consistently submits early and organized is a real differentiator. GCs remember it. It signals that you’re reliable and well-run. Over time that reputation becomes a preference, and preferences show up in win rate.

The bids you didn’t submit

Win rate is usually calculated as a percentage of bids submitted. But the more important number for most shops is win rate as a percentage of bids invited.

When a rep is at capacity, they decline bid invites. The calculation is quick: “I can’t get to that this week.” The declined invites don’t show up in the win rate calculation because they never became bids. But they represent real revenue that went to a competitor.

Most shops don’t track how many invites they pass on in a given month. When I’ve talked to shop owners who have looked at this number for the first time, the reaction is usually some version of “I didn’t realize we were leaving that much on the table.”

When pricing time per bid comes down, capacity goes up, and the rep starts saying yes to invites they used to decline. Some of those invites become won jobs. The win rate calculation doesn’t capture the full picture, but the revenue does.

What the numbers actually look like

Our shop averaged about 5 hours per bid on supplier coordination before we started using SpecSync. We were submitting roughly 15 to 18 bids a week across our estimating team.

After implementing SpecSync, supplier coordination time dropped to 30 to 40 minutes per bid. The team is now submitting 35 to 40 bids a week with the same number of people.

Win rate on repeat GC work didn’t change much because those relationships drive most of it. Win rate on competitive work improved, partly because we’re submitting bids we used to pass on, and partly because the bids going out are cleaner.

The bigger change is that nobody is finishing bids at 9pm anymore. That sounds like a quality of life improvement, and it is. It’s also a bid quality improvement. The margin decisions are getting made with more time and less fatigue, and that has real effects on which jobs come in on the right side of the ledger.

The metric worth tracking

Most flooring shops track total revenue and sometimes win rate. Very few track revenue per bid submitted, which is the number that captures both volume and quality together.

A rep who submits 20 bids a week and wins 4 at an average of $75,000 each is generating $300,000 in won revenue per week. A rep who submits 10 bids and wins 3 at an average of $120,000 is generating $360,000. The second rep has a higher win rate and lower volume and is producing more revenue.

The point isn’t that one approach is better than the other. It’s that you need to know both numbers to make good decisions about where to invest. If your win rate is strong but your volume is low, the bottleneck is probably capacity. If your volume is high but your win rate is low, the bottleneck is probably bid quality or market selection.

For most commercial flooring shops I’ve talked to, the answer is capacity first. The win rate is fine. The reps are good. The limiting factor is that they can’t get to enough bids in a week. That’s a solvable problem, and it’s what we solved at our shop.