The short version
Five findings, ranked
- Finding 1 of 5
“Call me later” is the biggest leak.
24.7% of live first calls ended with no set time.
Do this Offer two set times on every call and confirm by text.
Read section 01 - Finding 2 of 5
“I’m busy” and “Send me the info” are not brush-offs.
Busy callers booked 32.0% (vs 31.0%); “send me the info” callers booked 38.4% (vs 30.8%).
Do this Keep going and ask for a time.
Read section 03 - Finding 3 of 5
Price is a closing objection, not a booking one.
It caused 0.5% of lost bookings, but stalled 13.8% of long closing calls.
Do this Train setters on scheduling, closers on price.
Read section 02 - Finding 4 of 5
Lead source decides the first minute.
Union leads booked 39.0%, free-kit leads 24.1%. Past one minute, the gap narrows from 18.6 to 12.6 points.
Do this Report booking rate by source monthly and rework the opener for weak sources.
Read section 04 - Finding 5 of 5
The application step loses more sales than price.
Payment or ID stalled 18.4% of long calls that didn’t close.
Do this Run the pre-application checklist before you quote.
Read section 06
The playbook
What to say when they say…
Lines in “Try this” are suggestions. Adapt them to your offer and your state’s rules.
Booking the meeting
“I’m busy right now.”
Try this
“Totally get it. I just need 10 seconds to grab a time. Does Tuesday at 6 or Wednesday at 10 work better?”
What the data shows
Top reason for no booking (24.6%), yet busy callers booked as often as others (32.0% vs 31.0%).
“Call me later.”
Try this
“Happy to. Let’s put a time on it so I don’t catch you at a bad moment. Morning or evening?” Then send a confirm-by-text.
What the data shows
24.7% of calls ended this way, with no set time.
“Just send me the info.”
Try this
“I will. It makes more sense with 15 minutes to walk through it. When can we look at it together?”
What the data shows
38.4% booked vs 30.8% for other calls. Matched by call length, they booked about as often. Not a brush-off.
“I already have coverage.”
Try this
“Good. Most people we talk to do. A quick review makes sure it still fits. Want to check it Thursday?” Ask once.
What the data shows
20.8% still booked.
“I need to ask my spouse.”
Try this
“Makes sense. Let’s pick a time you’re both home.”
What the data shows
7.7% of lost bookings.
“I don’t do Zoom.”
Try this
“No problem. We can do it by phone, or I can mail it to you first.”
What the data shows
6.7% of lost bookings.
“Is this a scam?”
Try this
“Fair question. I’m [name], a licensed agent with [agency], and you can verify my license on your state’s insurance department site before we meet.”
What the data shows
5.5% of lost bookings. Reps said “I’m a licensed agent” on only 7.7% of booking calls.
“Not interested.”
Try this
Try one question: “Understood. Is it the timing, or is coverage just handled?” Then let it go.
What the data shows
5.2% booked. One question, then move on.
“Stop calling me.”
Try this
“Done. I’ll take you off our list today.” Then do it.
What the data shows
4.2% booked. Remove them today.
Closing on the call
Before the application.
Try this
“Before we start, grab your bank info and ID, and keep your phone close for a text code. Takes about 20 minutes.”
What the data shows
Payment and ID steps caused 18.4% of stalled long calls, more than any other reason.
Section 01 · The benchmark
What is a good booking rate for insurance appointment setting?
Key finding
24.7% of live first calls ended in “call me later” with no set time. 32.7% booked a set day and time.
A live first-contact call means a person answered and it was the first time the team reached them. We counted a booking only when the rep and the caller agreed on a day and a clock time. A loose “call me later” was counted separately, because it is not a meeting yet.
Other published benchmarks put final expense appointment rates at 12–18% of conversations (LineShield, 2026).
Our denominator is narrower: only calls where a person answered and it was the first time the team reached them. Treat the two numbers as related, not identical.
Outcome of live first-contact calls
Each square is about 1% of calls.
Study: booking calls (n=4,950)
See the data
| Outcome | Share of live first calls |
|---|---|
| Booked a set day and time | 32.7% |
| “Call me later”, no set time | 24.7% |
| No booking | 42.6% |
Booking rate by team
Dot is the booking rate. Bar is the likely range.
Wide ranges mean smaller teams, so their result can swing more.
Teams with too few booking calls to chart reliably are left out.
Study: booking calls (n=4,950)
See the data
| Team | Booking rate | Likely range |
|---|---|---|
| Team A | 44.4% | 36.3% to 52.9% |
| Team B | 39.0% | 34.1% to 44.1% |
| Team C | 31.9% | 30.5% to 33.3% |
| Team D | 25.4% | 16.1% to 37.8% |
| Average | 32.7% |
What fixing the leak is worth
Illustration: if 1 in 5 loose callbacks became a set time.
That’s about 49 more meetings per 1,000 live first calls, with no extra dials.
Orange is the gain from callbacks that became a set time.
Study: booking calls (n=4,950)
See the data
| Scenario | Booking rate |
|---|---|
| Today | 32.7% |
| If 1 in 5 loose callbacks became a set time | 37.6% |
| Difference | +4.9 points |
The fix is mostly scheduling. When a caller says “call me later”, set the next step as a CRM task with a day and a time, then send a saved confirmation text before you hang up. When a lead is ready now, hand the call to a licensed closer.
Do this
- Never accept “call me later”, offer two set times.
- Confirm by text before you hang up.
- Hand hot leads to a closer right away.
Section 02 · Why bookings fail
Why insurance prospects don’t book: calendars, not price
Key finding
Busy or a bad time caused 24.6% of lost bookings. Price caused 0.5%. Price shows up later: it stalled 13.8% of long closing calls.
Main reason a booking call didn’t book
Share of lost bookings, weighted by team.
Study: booking calls (n=4,950)
See the data
| Main reason | Share of lost bookings |
|---|---|
| Busy or a bad time | 24.6% |
| Not interested, no reason given | 14.6% |
| Call ended before any reason | 11.4% |
| Already has coverage | 8.9% |
| Didn’t recall the request | 8.4% |
| Spouse or relative must join | 7.7% |
| Can’t or won’t do video | 6.7% |
| Thinks it’s a scam | 5.5% |
| Asked not to be called | 5.1% |
| Other or wrong person | 7.0% |
| Price or income | 0.5% |
Naming the form or mailer in the first 30 seconds did not help (29.2% vs 32.3% booked).
Do this
- Busy: offer two set times, then confirm by text.
- Spouse: ask who else should be there before you offer times.
- No video: offer a phone-only option or a mailed kit.
- Didn’t recall the request: check that lead source.
Section 03 · Objections
Insurance objection handling: which objections are worth fighting
Key finding
“I’m busy” and “Send me the info” are worth working. “Not interested” usually isn’t.
We searched calls on appointment-setting teams for common phrases and compared booking rates.
Booking rate when the caller said it
Compared with all other calls.
Keyword search on speech-to-text, so these are lower bounds. Spouse, “let me think about it” and price each came up on under 1% of booking calls, too few to compare.
Study: setter-team calls (n=6,955)
See the data
| Phrase | Booked when said | All other calls | Came up on |
|---|---|---|---|
| “Send me the info” | 38.4% | 30.8% | 5.8% |
| “I’m busy” or “I’m driving” | 32.0% | 31.0% | 19.7% |
| “I already have coverage” | 20.8% | 31.7% | 4.6% |
| “Not interested” | 5.2% | 33.0% | 6.4% |
| “Take me off your list” | 4.2% | 32.0% | 2.7% |
Busy, send me the info
Compared with calls of the same length, info requests booked about as often as other calls.
Already covered
20.8% still booked.
Not interested, stop calling
5.2% and 4.2% booked. Remove stop-calling requests the same day.
To see which objections your own team hears most, use AI call summaries that list the objections heard on each call.
Section 04 · Lead source
Insurance lead quality: which leads book best
Key finding
Union and association leads booked 39.0% of the time. Leads that only asked for a free kit booked 24.1%.
Booking rate by lead offer
All setter teams.
Study: booking calls (n=4,950)
See the data
| Lead offer | Booking rate |
|---|---|
| Union or association | 39.0% |
| Policy review, existing client | 36.5% |
| Referral or sponsor | 35.9% |
| Veteran benefits | 28.4% |
| Free will kit or burial guide only | 24.1% |
Once a call lasts a minute, the gap shrinks
Booking rate on the largest team: all calls, then calls that lasted 1+ minute.
Gap between best and worst: 18.6 points, then 12.6.
Study: booking calls (n=4,950)
See the data
| Lead offer | All calls | Lasted 1+ minute |
|---|---|---|
| Policy review | 36.3% | 47.7% |
| Union | 38.9% | 45.4% |
| Veteran | 28.3% | 42.7% |
| Free kit only | 20.3% | 35.1% |
| Gap, best to worst | 18.6 points | 12.6 points |
Weak sources lose callers in the first minute. That’s an opener problem, not a pitch problem.
To measure this on your own team, log every call outcome to your CRM, work each lead list by source, and track booking and connect rates by rep.
Do this
- Price leads by cost per meeting, not cost per lead.
- Report booking rate by lead source every month.
- Rework the opener for weak sources, because the first minute is where they drop.
Lead offer was grouped from call review notes; most calls come from the largest team.
Section 05 · Coaching
What to coach on insurance sales calls, and what to stop coaching
Key finding
Talking speed and question rate made no difference. Buyers who talked the most early closed the least.
213 vs 215
words per minute, calls that closed vs didn’t
77.1% vs 69.6%
rep share of talk time in the first 10 minutes, closed vs lost
Not because reps should talk more. Buyers on lost calls talked more because they were pushing back.
26 min
median length of a call that closed
The more the buyer talks early, the fewer closes
Close rate by buyer words in the first 10 minutes, quarters from fewest to most.
Study: first-call close attempts (n=671)
See the data
| Buyer words, first 10 minutes | Close rate |
|---|---|
| Fewest | 59.5% |
| Fewer | 53.7% |
| More | 43.9% |
| Most | 31.7% |
When a buyer starts to push back, a manager can listen in live and whisper the next question to the rep.
Do this
- Flag calls where the buyer holds more than 30% of the early talk time and listen for the objection.
- Drop targets for call length, talking speed and question rate.
From first-contact close attempts of 10+ minutes. Most closes came from two teams.
Section 06 · Closing on the first call
How long does a first-call insurance sale take?
Key finding
The median sale took 26 minutes, and the payment or ID step stalled more long calls (18.4%) than any other reason.
Close attempts come mostly from two teams.
Where long calls stall
Share of 10+ minute calls that didn’t close.
Study: first-call close attempts (n=671)
See the data
| Where the call stalled | Share of 10+ minute calls that didn’t close |
|---|---|
| Payment or ID step | 18.4% |
| Distrust | 14.9% |
| Price after the quote | 13.8% |
| Has coverage or no need | 13.8% |
| Spouse or relative | 11.5% |
| Other reasons | 27.6% |
Before the application, ask them to have
- Bank account and routing number
- Photo ID or SSN
- A phone that gets text codes
- Spouse or decision partner on the call
- About 20 quiet minutes
When the buyer is ready, take the card payment on the call so the sale doesn’t wait on a second call. On setter teams, hand the call to a licensed closer while the buyer is still on the line.
Do this
- Read the checklist before the application starts.
- Bring the decision partner in before the quote.
- Never set a call-length target.
Get the team kit
Take it to your team: the full report as a PDF, the playbook on one printable page, and the 30-day plan as a checklist.
- The designed PDF report
- A printable one-page playbook
- The 30-day plan as a checklist
Check your inbox. The kit is on its way.
Download the PDF reportNo spam. Unsubscribe anytime.
Your 30-day plan
A 30-day plan to book more insurance appointments
Week 1
Measure
- Calculate last month’s set-time booking rate (set day and time ÷ live first calls) and compare to 32.7%
- Calculate your “call me later” rate and compare to 24.7%
- Split booking rate by lead source
Week 2
Fix the scheduling
- Two set times as the default ask
- Confirm by text before hang-up
- Ask who else should join before offering times
Week 3
Objections and openers
- Keep going on “busy” and “send me the info”
- One question on “not interested”, then move on
- Rework the opener for your weakest lead source
Week 4
Coaching and closing
- Drop talk-speed and call-length targets
- Review calls where the buyer talked most early
- Run the pre-application checklist on every closing call
Target
32.7% → 37%+
Turn 1 in 5 loose callbacks into set times.
Target
Under 20%
Share of calls ending in “call me later”. Today: 24.7%.
Ring.io
Run these plays on an insurance dialer built for it
The plays on this page are easier when your insurance dialer sets the next step, sends the confirmation text and keeps caller ID clean. Ring.io is a sales dialer that works inside HubSpot, Salesforce, Pipedrive and Zoho CRM.
Loose callbacks
Next Action sets the next step as a CRM task, and SMS templates send a saved confirmation text.
Callbacks with a set time
Next Action puts the agreed day and time on the CRM task, and SMS templates send the confirmation before you hang up.
Scam worries and answer rates
RingLocal gives you local numbers with watched caller ID reputation, plus spam flag monitoring.
Coaching
Live Monitor lets managers listen in live, and AI call summaries list the objections heard.
FAQ
Insurance sales call questions, answered
What is a good appointment-setting rate for life and final expense calls?
Why is this booking rate higher than the 12–18% other benchmarks publish?
How many calls end in “call me back,” and how do you turn them into appointments?
Which objections should a setter push past, and which should they let go?
Which insurance leads book the most appointments?
Should reps mention the form or mailer in the first 30 seconds?
Can you close a final expense sale on the first call, and how long does it take?
What stops a sale at the application stage?
What should managers coach on insurance sales calls, and what should they stop measuring?
How was this research done, and whose calls are these?
How we did this
The calls
24,263 call transcripts from 7 insurance sales teams, August 2025 to October 2026. The calls are mostly life and final expense insurance, sold to consumers by phone.
Whose calls
Calls made by insurance teams using Ring.io, anonymized and combined. No agency, rep, customer or carrier is named.
Labeling
Each transcript was labeled by an AI model against a fixed set of outcomes, and reviewed by our team.
Scope
The dataset contains connected calls only, so it doesn’t measure dials, answer rates or connect rates.
What counts as a booking
A booking is an agreed day and clock time. A loose “call me back” is counted separately. A sale means an application was submitted or a payment was taken on the call. A quote is not a sale.
Who is in each study
The booking study covers 4,950 booking calls. The phrase search covers 6,955 setter-team calls. The close study covers 671 first-call close attempts.
How to read the numbers
These are associations, not proof of cause. One team made most booking calls, so we lead with findings that hold across teams. Keyword counts are a lower bound, because speech-to-text misses some phrases.
Early signal
Rep question rate showed an early pattern (mid-range rates closed more) that needs testing on new calls.
What we couldn’t measure yet
Answer and connect rates, dials per appointment, show-up rates, differences between reps, and attempts per lead. The data has no contact or rep ID.
Cite this research
Ring.io, The Insurance Call Conversion Benchmark 2026, October 2026.