What Are the Right Targets for Contact Rate, Quote Rate, and Close Rate?
The benchmarks that actually matter, how to calculate each one correctly, and what to fix first when your numbers aren't where they should be.
Most insurance agencies track close rate closely because it connects directly to revenue. Fewer track contact rate and quote rate with the same discipline, and that's the problem. Close rate is a downstream result. The real diagnostic information lives upstream. Contact rate, quote rate, and close rate are three of the six core metrics for lead performance. What metrics should you use to assess lead performance covers the full framework and how these three fit together.
If your close rate is underperforming, it's almost always because something is broken at the contact or quote stage. And you can't fix what you're not measuring. Here's how to define each metric precisely, what your benchmarks should look like, and how to read the numbers to know which lever to pull first.
Precise definitions, because everyone's measuring differently

Before benchmarks mean anything, you need to know you're calculating them the same way everyone else is. Here's how NCC and Peachy Insurance define each metric.
A contact is a prospect who picked up the phone and had an actual conversation with your agent or SDR. Voicemails don't count. Texts don't count. If they answered and spoke with you, that's a contact. This matters because too many people fill out a form, start receiving calls, and then say "wrong person" or hang up immediately. A strong opening that references the specific information they submitted is what separates a real contact from a wasted pickup.
A quote is a prospect who permitted to be quoted and was actually presented with one. Not someone who expressed vague interest. Someone who stayed on the phone through the process and received an actual number.
A close is a prospect who purchased a policy following contact with your agency. All three metrics are calculated against total leads received, not total contacts, not total quotes. Total leads received is the denominator for all three.
Contact rate equals total prospects contacted divided by total leads received. Quote rate equals total prospects quoted divided by total leads received. Close rate equals total purchases divided by total leads received.
The benchmarks, with real Peachy data from 2026
These are the numbers NCC uses when evaluating agency performance. For auto and home internet leads, working from a disciplined cadence with a skilled team, the targets are a contact rate of 35 to 40 percent, a quote rate of 15 to 20 percent, and a close rate of 2 percent of total leads received.
At Peachy Insurance in 2026, here's what we've actually seen: a contact rate of around 37 percent, a quote rate ranging from 18 to 24 percent depending on the month, and a close rate between 1.5 and 2.8 percent. Those aren't theoretical targets; they're real production numbers from a real book of business.
One useful way to think about the close: there are two closes on every call. The first close is getting the prospect to agree to a quote. The second close is getting them to buy. Quote rate and close rate each reflect one of those. If your team is losing the first close, not converting pickups into quotes, you have an objection-handling problem at the front of the call, not a closing problem at the end.
Lead source affects where your numbers land within these ranges. Exclusive leads generally produce higher contact, quote, and close rates because the prospect is less fatigued by competing calls. Shared leads have more competition but can still hit these benchmarks with the right process. Referrals tend to have the highest close rates of any lead type. Aged leads require deliberate reactivation efforts to generate contacts, quotes, or sales, and should be managed in a separate cadence from fresh inventory.
The gap most agencies find when they start tracking seriously

The most common eye-opener when an agency starts measuring these three rates formally is how many pickups aren't converting to quotes. Most agents are surprised by this number.
The benchmark NCC uses is that 50 to 60 percent of all pickups should result in a quote. That's the answer-to-quote rate. In practice, a lot of agencies are sitting at 20 to 30 percent without knowing it, which means they're getting people on the phone and losing them at the front of the call at a much higher rate than they realize.
The other surprise is usually at the extremes of call attempt data. When agency owners pull their actual call logs, they often find both problems simultaneously: some leads were called only two or three times and then abandoned, while others were called 25 or more times in two weeks. Neither extreme is a functioning cadence.
Close rate gets the attention because it shows up in revenue. But by the time close rate is suffering, the damage has usually already been done two or three steps upstream.
A real before-and-after: what improving one rate actually produced

In June 2026, one NCC agency partner focused specifically on improving execution at the quote-to-close stage, improving how their team handled the presentation once they had a prospect on the phone and ready to be quoted. Contact rate didn't change. The improvement was entirely in what happened after the quote was delivered.
In May, the agency closed 22 items, producing $33,176 in premium. In June, using the same lead source and the same team, they closed 64 items, producing $98,604 in premium. Close rate went from 1.73 to 3.56 percent. Items sold tripled. Premium nearly tripled. Premium per sale stayed strong, and cost per sale dropped.
The lead spend didn't change. The lead source didn't change. What changed was how effectively the team handled the second close, the sale itself, once they had the conversation.
Diagnosing which problem to fix first

The combination of rates you're seeing tells you a great deal about where the problem lives. Here's how to read the patterns.
Strong close rate with a weak contact rate is actually a good sign about your team; it means they're effective once they get someone on the phone, and improving contact rate alone could compound their results significantly. The issue here is almost always upstream: broken or inconsistent call cadence, slow speed-to-lead, or insufficient attempts per lead. Fix the cadence and follow-up process first.
Strong contact rate, strong quote rate, and a weak close rate usually point to a competitiveness problem rather than a skill or effort issue. If prospects are agreeing to be quoted but not buying, look at whether your rates are actually competitive in those zip codes and whether your carrier mix is right for the market. No amount of objection handling training fixes a quote that isn't price-competitive. Adjust targeting before adjusting training.
A strong contact rate paired with a weak quote rate and a weak close rate points to objection handling at the front of the call. Prospects are picking up but not agreeing to be quoted. The work is in the opening, specifically in how your team handles the first objection and earns the right to run a quote.
The mistake that cost one agency six sales in a single month

One of the clearest examples of what chasing the wrong metric looks like comes from an NCC agency partner who focused exclusively on improving close rate while a different problem was developing upstream.
Their contact-to-quote rate dropped from 44 percent in May to 27 percent in June. That 17-point drop went unnoticed because close rate was actually improving. Here's what the math produced at 1,000 leads: at a 44 percent contact-to-quote rate with 500 contacts, they would have generated 220 quotes. At 27 percent, they generated 135 quotes. That's 85 fewer quotes. Even with the improved close rate, they lost approximately six sales that month compared to what the 44 percent contact-to-quote rate would have produced.
Close rate went up. Sales went down. The metric they were watching gave them a false positive while the metric they weren't watching was costing them real revenue.
The other common trap here is becoming too aggressive with outreach, abandoning proper cadence to force more contact attempts, which produces artificially strong short-term contact rates and then degrades number reputation over time, generating fewer real conversations going forward. Sustainable improvements come from consistent cadence, not from chasing one metric in isolation.
How to hit a strong contact rate on internet leads in today's environment

The practical answer: a multi-touch cadence that starts immediately and doesn't give up after a few days.
On day one, make up to three call attempts depending on when the lead arrives. The first call should happen immediately after the lead comes in, not within an hour, immediately. Follow the call with a voicemail, a text, and an email.
On days two through seven, make two call attempts per day and continue the multi-channel follow-up. Don't abandon the lead after three to five days. That's exactly when competing outreach from other agencies peaks and prospects start ignoring everyone. By day 10, the volume of competing calls typically drops significantly, and some prospects who were ignoring everything in the first week become much more willing to answer.
Many agencies are surprised to find that disciplined, multi-touch follow-up through day 10 and beyond still produces bound policies from leads that would otherwise have been written off. The leads don't expire as quickly as most teams assume.
How to tell whether you have a lead problem or a process problem

The fastest way to separate a lead quality issue from a sales execution issue is to compare performance across multiple lead vendors.
If your numbers are struggling uniformly across every vendor, that's almost certainly an in-house issue: call cadence, agent performance, scripting, or follow-up. Bad leads don't perform poorly uniformly across multiple unrelated sources. If you're seeing the same weak contact and quote rates regardless of where the lead came from, the common variable is your process.
If your numbers are weak with one vendor but solid with others, that points to the vendor, whether it's lead quality, bad filters, wrong targeting, aged or recycled inventory, or a campaign setup problem. That's a conversation to have directly with the vendor and, in many cases, is fixable.
For a more granular diagnosis, break your numbers out by lead source, filter, landing page, zip code, and lead type. If certain segments consistently underperform while others perform well, you have a lead quality problem in specific segments. If everything underperforms together, you have a process problem.
Where to start when your specific numbers tell you something
Here's a concrete example of how to apply this framework. Contact rate is at 35 percent, which hits the low end of the benchmark. Quote rate is at 15 percent, also at the low end. Quote-to-close rate is at 12 percent, which is above the 10 percent benchmark.
Contact rate is sufficient, and quote-to-close rate is strong. The biggest opportunity is quote rate, specifically the gap between contacts and quotes. The math tells you exactly where: 15 percent quote rate divided by 35 percent contact rate is an answer-to-quote rate of about 43 percent. The NCC benchmark is 50 percent. Closing that 7-point gap would push the overall quote rate to roughly 17.5 percent and produce more sales from the same lead spend.
The work is at the front of the call: objection handling, earning the quote, keeping the prospect engaged through the opening. That's the coaching priority. And because contact rate and quote-to-close are already healthy, improving that one conversion point has a compounding effect on everything downstream.
If you want to run this diagnostic on your own numbers and figure out where the biggest opportunity sits in your funnel, reach out to our team. We do this analysis regularly with NCC agency partners, and the entry point- which rate to focus on first- usually becomes clear within a single conversation.
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