Speed to Lead in Insurance: What the Research Says, and What It Does Not
By Aisel Verdieva
Content, Apex Sales AI

The short answer
Speed to lead is the elapsed time between a lead arriving and your first contact attempt. It is the most consistently measured variable in inbound sales research, and the findings are unusually clear: the advantage is concentrated in the first few minutes, and it decays fast.
Below is what the primary research actually says — with the folklore separated out — and how to build a system that responds in minutes without you sitting on the form.
What the research actually shows
Three studies carry most of the credible evidence. It is worth knowing what each measured, because the numbers get quoted loosely.
Oldroyd, MIT Sloan / Lead Response Management study (2007). Three years of data across six companies, more than 15,000 leads and 100,000 call attempts. Contact odds dropped roughly 100x between a first call at five minutes and one at thirty minutes. Qualification odds dropped about 21x over the same window.
Oldroyd, McElheran and Elkington, "The Short Life of Online Sales Leads", Harvard Business Review (2011). An audit of 2,241 US companies. Average first response time was 42 hours. Only 37% responded within an hour, and 23% never responded at all within thirty days. Firms making contact within one hour were roughly 7x more likely to qualify a lead than those responding in the second hour, and about 60x more likely than those waiting 24 hours or more.
XANT / InsideSales Lead Response Management (2021). 5.7 million inbound leads across 400+ companies, 2018–2020. Conversion rates roughly 8x higher when the first call happened within five minutes versus six minutes or later.
One widely repeated figure — that "78% of customers buy from the company that responds first" — has no traceable primary source. Do not use it. The 7x, 8x, 21x and 100x findings above are attributable and sufficient.
Reading the numbers honestly
These studies are drawn largely from B2B and general inbound sales, not specifically from insurance. The mechanism, though, is not industry-specific: a person who just submitted a form is at their moment of maximum intent, and they are often submitting to more than one provider at once.
Two things follow for insurance producers specifically.
Aged leads do not obey this curve. A nine-month-old list has no intent decay left to protect; speed to lead is a fresh-lead metric. Do not let it distort how you work aged data.
The 2027 Medicare rules raised the stakes. With the 48-hour Scope of Appointment requirement eliminated, a Medicare lead who reaches you ready to enroll can be enrolled in that conversation rather than two days later. Fast response has moved from an efficiency gain to a revenue mechanism.
Why most agents are slow
Almost nobody is slow because they do not care. They are slow because of structure.
Each of these is a systems problem with a systems fix. None is solved by trying harder.
The build: responding in five minutes without watching the form
Six components. All of them are configuration.
1. Ingest the lead automatically
The lead has to land in the CRM without a human copying it. Whatever the source — web form, marketplace forwarding, or vendor push via webhook — the destination is a contact record with source attribution attached, created in seconds.
2. Assign it instantly
Round-robin distribution at the moment of creation. On a team, this removes the assignment delay entirely. Solo, it removes the question.
3. Fire the first touch immediately
An inbound trigger starts the sequence the moment the record is created. The first SMS goes out within a minute:
Hi {{first_name}}, this is [Name] with [Agency] — I just got your request about [coverage type]. Calling you in the next couple of minutes. If now's bad, reply with a better time.
This message is doing real work. It confirms a human is engaged, it sets the expectation for the call so your number is not a surprise, and it opens a reply channel for people who cannot talk right now.
4. Put the call at the top of the queue
Priority routing so fresh inbound sits above the aged queue. In APEX this is a priority field plus a filtered view — the dialer works the high-priority view first.
5. Have a fallback that runs on its own
If the first call does not connect, the sequence continues without anyone deciding: a second SMS at fifteen minutes, a second call attempt at one hour, then a settled cadence over the following days. The point is that the lead never waits on someone's memory.
6. Enforce compliance on every one of those touches
Speed is not a reason to skip the checks — and it is exactly when they get skipped. Every one of those fast touches still needs a DNC check before it goes out and still has to respect the 8:00 a.m. – 9:00 p.m. window in the lead's local time, with stricter state rules where they apply. A lead arriving at 9:40 p.m. Eastern from a Pacific-state form is a lead you contact in the morning. The system should enforce that, not you.
Measuring it
Track median, not mean. One lead you responded to three days later will drag an average into meaninglessness while hiding a decent median.
| Metric | What it tells you |
|---|---|
| Median time to first touch | Your real speed |
| 90th percentile time to first touch | Where the system breaks down |
| % contacted within 5 minutes | The band the research says matters most |
| % never contacted | The leak that costs the most |
That last row deserves attention. The HBR audit found 23% of companies never responded at all within thirty days. Paid leads that receive zero contact attempts are the most expensive line item in any agency, and they are usually invisible until someone looks.
A realistic target
Aiming for a five-minute median on every lead, all day, is not achievable for a solo producer who also has to talk to people. A workable standard:
The automated touch is what buys you the human window. That is the whole design.
Related reading
FAQ
What is a good speed-to-lead time?
The research clusters the advantage inside five minutes, with a steep decay after that — roughly 100x lower contact odds at thirty minutes versus five in the Oldroyd study. For a practical standard, target an automated first touch inside two minutes and a human call attempt inside fifteen during working hours.
Does speed to lead matter for aged leads?
Not in the same way. Intent decay is a property of fresh inbound. On an aged list, consistency and cadence matter far more than minutes. Applying a five-minute standard to a nine-month-old list will just make you feel behind on something that does not respond to it.
Can I respond too fast?
Not in the sense of speed itself, but you can respond badly fast. A message that arrives within thirty seconds and reads as automated and generic performs worse than one at three minutes that names what the person actually asked about. Reference the request; do not just announce that you exist.
What if leads arrive at 11 p.m.?
Queue them. Federal rules confine marketing calls and texts to 8:00 a.m. – 9:00 p.m. in the recipient's local time, and several states are stricter. A good platform holds the touch and releases it when the window opens. Speed matters inside the permitted window, not across it.
How do I measure this if my leads come from several sources?
Tag every import and every inbound source, then measure median time to first touch per source. Sources differ enormously — a real-time web lead and a batch-delivered aged file are not comparable, and averaging them together tells you nothing you can act on.
Is 78% of customers buying from whoever responds first a real statistic?
No. That figure has no traceable primary source and is widely repeated without attribution. The verified findings are the 7x and 60x qualification advantages from the 2011 HBR audit, the 8x conversion figure from the 2021 XANT dataset, and the 21x/100x qualification and contact decay from the Oldroyd study. Use those.
Aisel Verdieva
Content, Apex Sales AI
Helping insurance agents grow their business through automation, compliance, and proven strategies.


