How to Buy Insurance Leads for P&C Agents

Q: What is the average close rate on shared internet insurance leads?

Industry benchmarks consistently place shared internet lead close rates between 6% and 12% for most P&C agents, according to InsuranceLeadsGuide's analysis across 17 years of agent data. Top performers push this higher with disciplined speed-to-contact and multi-touch follow-up.

Q: How fast should I contact an insurance lead?

The MIT / InsideSales.com study found contact odds drop 100x from 5 minutes to 30 minutes — but that study only measured pickup, not conversion. Production data across 29,358 real P&C leads shows leads that first-connect on attempt 1 win at 1.77%, statistically identical to the 1.72% corpus baseline. Answer the phone fast because contact is a prerequisite, but the real conversion lever is dial-count persistence: leads dialed 31+ times win at 5.45%, three times baseline.

Q: What is the difference between shared leads, exclusive leads, and live transfers?

Shared leads are sold to multiple agents (typically 3 to 8); exclusive leads are sold to one agent only; live transfers are pre-qualified inbound phone calls connected directly to an agent. Cost scales with exclusivity and intent — shared leads run $6 to $25, exclusive leads $25 to $75, live transfers $25 to $120 or more depending on filters.

Q: Should I track cost per lead or cost per bind?

Cost per bind (CPB) is the metric that measures program health. Cost per lead is a vanity metric that ignores close rate and retention. Track CPB weekly, segmented by source and producer, to identify which lead sources actually turn into policies.

Q: What questions should I ask an insurance lead vendor before buying?

Ask: (1) Where does the lead originate? (2) How many agents receive each shared lead? (3) What is your return policy and valid return criteria? (4) Are filters hard or soft? (5) What is the delivery method and latency? (6) What close rates do other agents in my state report? (7) Can I start with a small test?

Chapter One

The three kinds of leads, and why most agents buy the wrong one.

Every lead you buy is shared, exclusive, or a live transfer. Price, exclusivity, and intent are the three variables. According to InsuranceLeadsGuide's analysis of 17 years of agent data, most successful agents convert 6–12% of their internet leads. Pull the wrong lever for your stage of agency, and your deposit evaporates.

Category 01 · Shared

Shared Internet Leads

Sold to multiple agents simultaneously. The consumer submitted a form on a comparison site and is now getting hammered by everyone downstream. QuoteWizard caps distribution at 4 agents; EverQuote caps at 3.

Typical Cost: $6–$25
Close Rate: 6–12%
Best For: High-volume disciplined dialers

Source: InsuranceLeadsGuide

Category 02 · Exclusive

Exclusive Leads

Sold to one agent only. Higher intent because the consumer chose you, not a marketplace. Hometown Quotes and CABoom Leads specialize in exclusive lead models. EverQuote's data shows exclusive real-time leads target 10%+ close rates.

Typical Cost: $20–$75
Close Rate: 10–18%
Best For: Producers with phone skills

Sources: InsuranceLeadReviews · EverQuote

Category 03 · Transfer

Live Transfers & Warm Calls

Pre-qualified, on-the-phone, ready-to-quote. The cleanest path to a bind — and the most expensive. Centerfield (formerly Datalot), SmartFinancial, and EverQuote all offer live transfer products.

Typical Cost: $25–$120+
Close Rate: 20–33%
Best For: Mature agencies with closers

Sources: EverQuote · InsuranceLeadReviews

Chapter Two

The only math that actually matters.

Most agents track cost-per-lead. Million-dollar agencies track cost-per-bind and lifetime value. If you don't know what a policy is worth over three years, you cannot know what a lead is worth today. The math below uses mid-range shared-lead assumptions grounded in reported agent benchmarks.

Sample Bind Economics

Cost per lead$18

Close rate10%

Cost per bind (CPB)$180

Avg. first-year commission$320

3-year retention72%

Est. LTV per bind$740+

ROI: ~4× on deposit

Every lead program lives or dies on a single ratio: what does it cost to put a policy on the books versus what that policy is worth over its lifetime. Get the ratio right and your deposit is an investment. Get it wrong and you are donating to the lead vendor's retirement.

Lead cost is a vanity metric. Cost-per-bind pays the bills.

Track CPB weekly. Segment by source, producer, and carrier. The agencies that scale are not the ones buying the cheapest leads — they are the ones who know exactly which leads turn into policies and ruthlessly cut the ones that don't. The Million-Dollar Agency framework from The Insurance Dudes treats this as the foundational KPI.

Chapter Three

Even MIT and Harvard got this wrong.

The famous studies the industry quotes — MIT / InsideSales.com (15,000 leads, 100× drop in contact odds from 5 to 30 minutes) and Harvard Business Review (2.24M leads, 7× qualification lift under 1 hour) — measured one thing and one thing only: pickup odds. Whether the phone got answered. Neither study measured whether the answered phone turned into a policy. Twenty years of dialer playbooks got built on a conclusion the data never supported.

The production data in Chapter Four — 29,358 real leads, 259,710 call rows — closes the gap MIT and HBR never touched. Leads that first-connected on attempt 1 win at 1.77%. The corpus baseline is 1.72%. Speed-to-first-connect does not predict wins. It predicts pickup. Those are different numbers. The academics measured the wrong one, and the entire industry built a playbook on top of it.

Answer the phone fast — the producers you pay by the hour can't do their job if the phones don't ring. Run the cadence below, because contact is a prerequisite for everything else. But do not build your lead-scoring around speed. Build it around persistence-worthiness — which leads deserve to stay in the dial pool at dial 20, 25, 30. That's where the WIN rate goes to 3× baseline. MIT never dialed that far.

0–5'

First Dial

Call immediately. Drop a voicemail referencing a detail from their submission — vehicle, zip, coverage. Keep it human.

MIT: 100× higher contact odds vs. 30-min wait. Source

6'

Text + Email

Short, human text. Matching email with a subject line that references their ZIP or vehicle — not the word "quote."

InsideSales 2021: 8× conversion lift under 5 min. Source

1 hr

Second Dial

Different time of day, different tone. If they answered online, they're reachable — you just haven't caught them yet.

HBR: 7× qualification under 1 hour. Source

4–6 PM

Peak Window

Late afternoon has the highest contact rates of any window in the day. Stack your dials here if you can.

MIT study: 114% better than worst window. Source

Day 2

Third Dial + Text

Most competitors already quit. The prospect is yours if you're still showing up with something useful to say.

Standard industry follow-up cadence.

Day 5+

Long-Tail Dial

Different pitch — not "are you ready to quote" but "what did you end up doing?" Curiosity opens what pressure closes.

Drift / InsideSales: avg. B2B response is 47 hrs. Source

30 d

Retarget & Renewal Touch

Half of buyers who went with someone else regret it within 90 days. Be the agent who is still around when their first claim goes sideways.

Nurture discipline = LTV expansion.

Chapter Four

What 29,358 real leads actually do.

Industry studies tell you what should happen. Production data tells you what does. The numbers below come from an aggregated 29,358-lead sample (259,710 per-call rows, 90-day span) tracked from ingestion through terminal status — sold, quoted, called-only, or DNC. Two headlines: 88.75% of leads die before they reach a human being, and — contrary to received wisdom — leads dialed 31+ times win at 5.45% (3× baseline) while the industry-standard 2-to-10-dial range converts below 1%. Speed-to-dial is a red herring. Persistence, applied to the right leads, is the signal.

Deep dive: read the standalone field report — The 21st Dial — why persistence beats speed in P&C lead sales.

1.72%

WIN

Sold, customer-converted, or transferred to bind. 505 of 29,358 leads.

SOLD / CUST / TRANSFERRED outcomes.

9.40%

Warm

Quoted, callback set, requoted, or won back. 2,761 leads. The pipeline you compound.

QUOTED / Callback / REQUOTE / WINBACK.

88.75%

Dead On Arrival

Dialed and never connected, or scrubbed to DNC. 26,056 leads. This is the gap any serious lead-handling system has to shrink.

CALLED-only / DNC outcomes.

Signal One

Source is king — and most weight tables get it backwards.

Generic source buckets like "web form" or "paid search" are noise. The specific source and its sub-tier are the signal. Same dataset, broken down by anonymized source label. Letters do not correspond to any vendor named in Chapter Five — the labels are deliberately abstract so a reader cannot reverse-map performance numbers to a specific provider.

9.62%

Source A

2,619 leads. WIN 0.34%. Highest engagement rate of any source in the dataset.

Engaged% rank #1 of 10.

9.50%

Source B

3,620 leads. WIN 0.19%. High engagement, low close — usually means the lead is real but the prospect is shopping aggressively.

Engaged% rank #2.

7.25%

Source C / Sub-segment 1

759 leads. WIN 0.66%. Closes ~2.5× better than the same source's other sub-segment — same provider, different prospect mindset.

Highest WIN% in the top tier.

6.61%

Source D / Tier 1

13,128 leads — the volume workhorse. WIN 0.27%. Closes ~3× better than the same source's Tier 2 inventory at the same nominal price.

44% of total volume.

4.71%

Source D / Other Tier

658 leads. WIN 0.76% — the highest close rate of any source in the sample, on tiny volume.

Buried tier, top WIN%.

2.80%

Source C / Sub-segment 2

2,752 leads. WIN 0.18%. Same provider as Source C / Sub-segment 1 — engagement collapses on the off-window.

Sub-segment dispersion.

2.30%

Source D / Tier 2

1,607 leads. WIN 0.06%. The price tag says "tier two" — the data says "do not pay tier-one money for this."

Engaged% rank #7.

1.19%

Source E

671 leads. WIN 0.30%. Connects easily but does not engage — high pickup, low conversation.

Engaged% rank #8.

0.90%

Source F

1,220 leads. WIN 0.08%. Near-zero engagement — borderline donation to the provider.

Engaged% rank #9.

0.57%

Source G

527 leads. WIN 0.19%. Lowest engagement rate in the dataset.

Engaged% rank #10.

A vendor's price tier is a marketing decision. The close rate is a math one. Track both — pay only for the second.

Signal Two

Spam score predicts contact rate like nothing else.

When the prospect's carrier flags your outbound caller-ID as "Scam Likely" or "Spam Risk," they don't pick up. Period. Spam-score buckets at the moment of first dial show a brutal cliff in close rate:

20.86%

Spam 0–19 (Clean)

1,793 leads. Engaged 36.75%. Closes 3–10× better than every other bucket. Carrier-clean caller-ID is, empirically, the single biggest controllable lever.

WIN%, not engagement.

0.47%

Spam 20–39

16,652 leads — the bulk of the volume. Engaged 9.34%. Drop of 40+× in close rate vs. clean.

57% of dataset volume.

0.64%

Spam 40–59

6,397 leads. Engaged 4.78%. Engagement keeps falling, close rate flatlines.

Mid-band.

0.61%

Spam 60–79

1,309 leads. Engaged 32.24% — warm-heavy outlier, but the WIN rate doesn't follow. Lots of "they answered to tell me to stop calling."

High engaged, low close.

0.12%

Spam 80–100 (Burnt)

3,207 leads. Functionally untouchable from this number. Rotate caller-ID, run a Hiya/Numeracle check, or stop dialing.

Lowest WIN% bucket.

Signal Three

WIN% by total dial count: a valley and a persistence tail.

Stop asking when a lead first connected. Ask how many total dials a lead absorbed before terminal status — and the shape of the data inverts. The 2-to-10 dial range is a graveyard. Conversion rebounds in the 21+ tail and peaks at 31+ dials. The dials that matter are the ones most agencies never make.

7.40%

1 dial only

5,472 leads. The biggest outlier in the table — but not an outbound cadence win. This bucket is dominated by inbound IVR, warm transfers, CRM-pulled existing customers, and manual one-touch handoffs. You cannot replicate this through dial strategy; it is a property of how the lead entered the system.

Inbound / transfer dominated.

0.31%

2–3 dials

6,487 leads. WIN rate craters. The "if they didn't pick up on dial two they're cold" heuristic is exactly wrong — you're binning active prospects with dead numbers.

The cadence dead zone.

1.03%

4–7 dials

2,133 leads. A brief partial rebound — different time-of-day windows starting to work — but still below the 1.72% corpus baseline.

Slight partial rebound.

0.37%

8–10 dials

2,187 leads. Most agencies abandon here. Most of what remains at this point is dead weight anyway — the cadence itself isn't the problem, the scoring upstream is.

Where competitors quit.

0.32%

11–15 dials

6,628 leads. Long flat floor. Auto-dialing with no scoring logic produces near-zero WINs here.

Auto-dialer dead zone.

0.20%

16–20 dials

5,501 leads. WIN rate bottoms out — but the WARM pipeline is building underneath (14.72% WARM). The leads still answering at this depth are qualifying more slowly, not dying faster.

WARM build zone.

1.43%

21–30 dials

840 leads. WIN climbs back toward baseline; WARM jumps to 17.02%. These leads were abandoned by every other agency 15 dials ago.

Persistence tail begins.

5.45%

31+ dials

110 leads. Second-highest WIN% in the entire table — three times the 1.72% baseline, and WARM at 20%. Sample size is small (6 WINs of 110), but the pattern is real: the right lead, kept in the pool long enough, converts at a rate no early-cadence strategy can touch.

Persistence-tier peak.

The agency dialed 950 leads 21+ times. Those 950 leads produced 18 WINs — nearly as many as the 8,761 leads in the 4-to-10 dial range combined.

Signal Four

The "64.55% of wins on dial one" stat is causally misleading.

The stat the industry quotes everywhere — "64.55% of closed WIN leads connected on attempt 1, therefore speed-to-dial is THE lever" — answers the wrong question. That's P(attempt-1 connect | WIN). Cadence design needs the inverse: P(WIN | attempt-1 connect). Given a lead connected on dial one, what's the probability it becomes a win? Flip the conditional and the signal collapses.

80.59%

Baseline first-connect rate

Across all 29,358 leads — wins, warms, and deads — 80.59% first-connect on attempt 1. That is a property of the telephony layer, not of intent. Most people who will ever answer, answer the first time the phone rings. The WIN cohort's 64.55% attempt-1 rate is actually lower than this universal baseline.

Corpus baseline, n=29,358.

1.77%

P(WIN | attempt-1 connect)

23,660 leads first-connected on attempt 1. 418 of them became WIN — a 1.77% conversion rate. The all-corpus baseline is 1.72%. First-dial connects convert at the universal average. Speed-to-first-connect does not predict wins.

Indistinguishable from random.

1.82%

P(WIN | never connected via dialer)

4,452 leads never recorded a dialer connect at all. 81 of them became WIN (1.82%) — again, baseline. These are inbound-originated transfers and existing-customer handoffs that closed via other pathways entirely. Penalizing their lead source by dialer metrics is a measurement error.

Non-dialer-reachable wins.

14.72%

WARM% at 16–20 dials

The warm pipeline builds deep in the dial stack, not early. WARM rate runs 17-20% across the 21+ dial tail — double the 9.40% corpus baseline. These are the leads every other agency has already abandoned.

Pipeline build zone.

A lead that first-connects on dial one is no more likely to close than a random lead. A lead dialed 31+ times closes at 3× baseline. The industry's "give up at 8" heuristic abandons leads right before the highest-conversion zone.

Signal Four-B

Reconciling "attempt 1" wins with a 15.4-dial sales cycle.

A question that surfaces when you see the data side-by-side: if most wins first-connect on dial one, how does an actual sold-bundle deal average 15.4 dials over 35.7 days? The answer is that WIN is a composite.

TRANSFERRED / CUST

Majority of the WIN cohort

One-touch handoffs, often inbound-originated. First-connect on attempt 1 is literally when the win happens — because the call is the win. No outbound cadence required or possible.

Weight-driver of the 64.55% stat.

SOLD

65 of 505 WINs

Full outbound sales cycle: quote → nurture → callback → close. Averages 15.4 dials and 35.7 days to bind. First-connect might be on dial one, but the sale happens around dial 15 — with a long tail out to 30+.

The only subpop cadence touches.

For outbound cadence design, only the SOLD subpopulation is reachable. The transferred/customer wins happen through other pathways and are irrelevant to how you structure a power-dialer campaign. Isolate the outbound-reachable cohort and the answer is: 15+ dials on average, with a long tail to 30+.

Signal Five

Vendor quality is two metrics, not one.

Engagement rate alone hides bad sources behind cosmetic numbers. The honest read is connect-rate × engage-given-connect. A source can connect easily but engage zero (numbers that pick up but prospects who do not want to buy), or refuse to connect at all but engage hot when they finally do. Both are real failure modes — and they require opposite remedies.

86.83%

Source A

Connect rate (100% − never-connected). Engaged 9.62%. Best read in the sample — connects easily AND engages.

Connect 86.83% / Engage 9.62%.

84.72%

Source B

Connect 84.72% / Engage 9.50%. Strong on both axes — high-volume, real intent.

Strong / strong.

91.57%

Source C / Sub-segment 1

Connect 91.57% / Engage 7.25%. Easiest to reach in the dataset; engagement holds up.

Strong / strong.

86.98%

Source D / Tier 1

Connect 86.98% / Engage 6.61%. The volume horse, fundamentally sound on both metrics.

Good / good.

71.50%

Source D / Tier 2

Connect 71.50% / Engage 2.30%. Both axes degrade together — under-priced is still over-priced if both signals are weak.

Poor / poor.

94.75%

Source F — Paradox

Connect 94.75% / Engage 0.90%. The strangest source in the dataset. Almost everyone picks up — and almost no one buys. They are selling phone numbers that answer, attached to prospects who do not want insurance. The two metrics disagree on purpose; do not weight engagement equal to connection here.

Easy connect / dead engage.

86.53%

Source G

Connect 86.53% / Engage 0.57%. Same paradox as Source F, milder version. Buys "intent signals" that do not survive the first conversation.

Connects / does not engage.

Two independent signals, two independent veto rights. A source that does not connect is wasted dial budget. A source that connects but does not engage is wasted producer time. Track both — pay only for the sources that pass both.

Signal Six

Every terminal status has a price tag.

A WIN does not just take dials — it takes talk time and calendar days. Most agency P&Ls track only the first. Average resource cost by terminal status, same dataset:

15.4

Sold — Bundle (n=65)

Average 51 minutes of talk time (3,074 sec) over 35.7 days to close. Bundles are not "extra paperwork on a sold lead." They are a different sales motion entirely — long, conversational, and high-LTV. Staff and comp accordingly.

Highest-talk terminal.

15.8

Quoted — Warm (n=198)

Average 24 minutes of talk (1,434 sec) over 46.7 days. The longest calendar tail in the dataset — warm quotes incubate for a month and a half.

Longest tail to terminal.

12.9

Contacted — Callback (n=239)

~6 minutes of talk over 7.7 days. Fastest meaningful disposition — these resolve quickly one way or the other.

Fast-cycle warm.

14.7

Requote (n=1,221)

~3.4 minutes of talk over 68.6 days. The longest-cycle status by a wide margin — requotes drift in the pipeline for over two months on average. Most agencies underprice this drag.

Longest cycle, modest talk.

8.9

Called — No Contact (n=25,782)

~2.5 minutes of voicemail / dead-air talk over 33.5 days. Almost 230,000 dials and 1,060 hours of producer / dialer time produced zero policies. This is the line item that the entire system has to attack.

88% of dataset, $0 revenue.

9.6

Phone Disconnected (n=55)

~40 seconds of talk over 7.9 days — the dialer figured it out fast and moved on. The cleanest "no" in the dataset.

Cleanest kill signal.

Track talk-time and days-to-terminal alongside dials. A "Quoted-Warm" lead costs the producer almost half an hour of conversation across six and a half weeks. Pricing it like a single-touch lead is how good agencies misread their own economics.

A note on speed-to-dial

The MIT and HBR studies cited in Chapter Three are real and still apply — speed-to-first-dial improves contact odds. What they do not prove is that faster contact improves conversion on leads you would have reached anyway. This dataset shows the two are different questions. 80.59% of leads pick up on dial one regardless of outcome; the WIN rate inside that bucket is 1.77% — baseline. Keep answering fast (the producers you pay by the hour can't do their job if the phones don't ring), but do not build your entire lead-scoring system around an attempt-one signal that doesn't predict wins. Build it around persistence-worthiness: which leads deserve to be in the dial pool at dial 20, 25, 30. That's where the conversion lives.

Dataset: 29,358 leads, aggregated across producing P&C agencies, fully anonymized. Outcomes coded WIN (sold / customer-converted / transferred), WARM (quoted / callback / requoted / won back), DEAD (called-only / DNC). Spam scores captured at moment of first outbound dial. Source labels (Source A through Source G) are abstract identifiers — not vendor names — and do not correspond to any provider listed in Chapter Five's vendor directory. Sub-segment splits within a source (e.g., Source C / Sub-segment 1 vs 2, Source D / Tier 1 vs Tier 2) reflect product variations within the same provider but are similarly delinked from the named market. Numbers are descriptive, not predictive — vendor mix and territory will shift the absolute values for any given agency.

Chapter Five

The major insurance lead vendors, compared.

A directory of the most-used lead providers serving P&C agents in the United States. Each profile links directly to the vendor's agent site. Pricing and distribution figures are drawn from the vendors' public materials, independent reviews, and agent-reported benchmarks.

QuoteWizard

LendingTree · Since 2006

Search-generated shared and exclusive leads, plus warm-transfer calls. QuoteWizard caps distribution at 4 agents per shared lead — half the industry standard — and invests $100M+ annually in SEM traffic.

Lines: Auto, Home, Renters, Life, Health
Lead Types: Shared, Exclusive, Warm Transfer
Max Share: 4 agents

EverQuote

NASDAQ: EVER · 5M+ monthly shoppers

One of the largest US auto insurance marketplaces. EverQuote caps distribution at 3 agents (never 2 from the same carrier), never recycles leads, and reports live transfer bind rates of 20–30%.

Lines: Auto, Home, Life, Health
Lead Types: Data, Live Transfer, Marketing Services
Max Share: 3 agents

Centerfield (Datalot)

Founded 2009 · Rebranded from Datalot

Live-transfer specialist delivering prequalified inbound calls via the DialDrive platform. Independent reviews place preferred auto calls at $20–$40 depending on filters. Concierge-screened, exclusive, recorded.

Lines: Auto, Home, Health, Medicare, Commercial
Lead Types: Live Transfer Only
Exclusivity: Always exclusive (1:1)

Allstate Lead Marketplace

For Allstate agents · Powered by UE.co / DMS

Centralized platform for Allstate captive agents offering wholesale pricing from multiple vetted vendors. Features closed-loop reporting synced with Allstate quote/policy data, third-party lead validation, and no contractual obligations.

Access: Allstate agents only
Lines: Auto, Home, Renters
Payment: Compatible with Executive Advantage

Kissterra

Insurance marketing OS · Founded 2015

AI-driven marketing platform for insurance carriers and partners, generating high-intent clicks and leads across all 50 states through owned and operated properties. Reports a 42% increase in lead-to-bind ratio in published case studies.

Primary users: Carriers, marketplaces
Lines: Auto, Home
Model: Platform + owned/operated traffic

Digital Media Solutions (DMS)

ZipQuote operator · P&C performance marketing

DMS owns the agent-facing ZipQuote platform, which supported 3,000+ insurance agents. Offers self-service lead buying, CRM integration, real-time performance analytics, and the ZipQuote IGNITE scaling program.

Platform: ZipQuote (self-service)
Lines: Auto, Home
Scale: Enterprise + agent-level products

Hometown Quotes

Founded 2003 by Bob Klee, former agent

Agent-first operator with industry-low distribution (avg. 2 agents per lead, max 4), no contract obligations, and direct integration with Allstate Lead Marketplace, Nationwide Growth Dollar, State Farm ILP, and Country Financial co-ops. Real-time delivery under 3 minutes.

Lines: Auto, Home, Life, Renters
Max Share: 4 agents (avg. 2)
Filters: 45+ pre-set, unlimited at no charge

SmartFinancial

Founded 2012 · Insurance.io platform

Digital marketplace offering data leads and calls with 35+ filterable data fields. Shared leads cap at 3 agents (one per carrier). Call leads are exclusive with 100% contact rate; agent-reported close rates 15–18% on data, 22–23% on live transfers.

Lines: Auto, Home, Health, Life
Lead Types: Data, Calls (exclusive)
Account Cap: 40–50 accounts per AM

Chapter Six

How to vet a lead vendor before you hand over the card.

Every vendor claims their leads are exclusive, fresh, and high-intent. Here are the seven questions that separate real operators from lead recyclers. Ask all seven. The ones who dodge any of them are the ones who will drain your account.

Where does the lead originate — and can you name the source site?

Vague answers ("proprietary network") usually mean scraped or recycled. Real vendors own their traffic. EverQuote, QuoteWizard, and Kissterra publish their owned-and-operated property lists.

How many agents receive each shared lead — and is that number capped?

"Up to 8" is not a cap. Industry leaders cap hard: EverQuote at 3, QuoteWizard and SmartFinancial at 4 and 3 respectively. Hometown Quotes averages 2. Negotiate a written cap or walk.

What is your return policy — and what counts as a valid return?

Bad numbers, wrong names, out-of-state, duplicate submissions within 30 days. If returns cap below 15%, you are subsidizing their quality control.

What filters can I set — and are they hard filters or soft preferences?

Hard filters = you don't get charged for leads outside your spec. Soft filters = suggestions. SmartFinancial publishes its 35+ available filter fields; use that as your benchmark.

What delivery methods do you support and what's the latency?

Email-only is unacceptable. Demand real-time posting to CRM or dialer. Sub-3-minute delivery is industry standard (Hometown Quotes benchmark). Every minute of delay compounds against you per the MIT 5-minute rule.

What is the typical close rate among agents in my state and lead tier?

They have the data. If they won't share a range, they're hiding numbers or don't track them. Both are disqualifying.

Can I start with a small test — 50 leads, no long-term commitment?

Confident vendors let you test. Vendors that force thousand-lead contracts already know what the data will show.

Chapter Seven

The six mistakes that quietly bankrupt lead programs.

Nobody goes broke on one bad decision. They go broke on six small ones compounded over 90 days. These are the failure patterns The Insurance Dudes have documented across 1,000+ podcast episodes with top-producing agents.

i.

Buying volume before buying a system.

A thousand leads a month into a disorganized agency is a thousand leads wasted. Build the dialer, CRM, and follow-up sequence first. Then turn on the spigot.

ii.

Treating every lead source the same.

Exclusive leads need a different pitch than shared. Live transfers need a closer, not a dialer. Generic scripts destroy conversion across every tier.

iii.

Blaming the leads before auditing the producer.

If one producer closes 15% on the same data another closes 4%, the leads are fine. Listen to calls before you cancel the contract.

iv.

Quitting after one bad batch.

Lead quality varies week to week. Judge a vendor on a 200-lead sample minimum. Statistical noise kills more programs than bad vendors.

v.

Running a single-channel follow-up.

Call-only is over. Text, email, voicemail drop, retargeting — a modern cadence touches every channel. One ring and a voicemail is not a cadence.

vi.

Forgetting the 90%+ who didn't buy today.

Most of your book hides in your old lead list. Nurture campaigns, renewal-timing touches, and quarterly check-ins convert leads your competitors long forgot.

Chapter Eight

The authorities worth listening to.

A curated list of the educators, podcasters, and operators shaping how modern P&C agents think about leads, systems, and scale. These are the voices we return to.

The Insurance Dudes

Podcast · Book · Telefunnel System

Craig Pretzinger and Jason Feltman host the industry-defining Insurance Dudes podcast (1,000+ episodes). Their book Million-Dollar Agency is the foundational playbook for this guide.

Blog · blog.theidudes.com
LineShield · lineshield.theidudes.com
Fulcrum · fulcrum.theidudes.com

Cody Askins

8% Nation · CABoom Leads · CA Studios

Founder of 8% Nation — named for the 8% of agents who survive their first three years — and one of the industry's largest training channels. Offers the CABoom exclusive lead program and the Power Players Mastermind.

Site · codyaskins.com
Conference · 8% Nation

David Duford

Duford Insurance Group · Author

Operator of the DIG Agency and author of three best-selling insurance sales books. Specializes in final expense, Medicare, and annuity sales training, with extensive published reviews of most major lead vendors.

Site · davidduford.com
Vendor Reviews · published library

Lead Response Management Study

MIT · Dr. James Oldroyd · InsideSales.com

The foundational academic research on lead response time. Analyzed 15,000+ web leads and 100,000+ call attempts over three years. Important caveat: the study measured pickup odds, not conversion. The industry has spent two decades citing it as if it proved speed drives sales — it doesn't. See Chapter Four for the production-data corrective.

Summary · leadresponsemanagement.org
Full PDF · onecavo.com

Appendix A

A working glossary for agents buying leads.

The vocabulary you need to negotiate intelligently with vendors, managers, and your own data.

CPL

Cost Per Lead

What you pay per raw lead delivered, before anything is done with it.

CPB

Cost Per Bind

Total spend divided by policies bound. The number that measures program health.

LTV

Lifetime Value

Total commission and fees a policy produces across its retained lifespan. Typically measured at 3 years.

STC

Speed to Contact

Time elapsed between lead delivery and first outbound attempt. Sub-5-minute is the MIT benchmark.

TCPA

Telephone Consumer Protection Act

Federal law governing consent to contact consumers via phone, text, or automated systems. Compliance is non-optional.

Shared Lead

Multi-Agent Lead

A lead sold to multiple competing agents. Industry cap is 3–8; the best operators cap at 3–4.

Exclusive

Single-Agent Lead

A lead sold to only one agent. Higher cost, higher intent, higher close rate.

Live Transfer

Warm Call

A pre-qualified consumer on the phone, transferred directly to an agent ready to quote.

Attribution

Bind-to-Source Tagging

Tagging every bound policy to its originating lead source. Impossible to optimize without it.

Appendix B

Frequently asked questions.

The questions agents most often ask about buying P&C insurance leads — answered with data, not marketing copy.

What is the average close rate on shared internet insurance leads?

According to InsuranceLeadsGuide's analysis across 17 years of agent performance, most successful agents convert 6–12% of internet leads. Top performers push higher through disciplined speed-to-contact and structured multi-touch follow-up. Exclusive and live-transfer leads close at meaningfully higher rates — EverQuote reports 25–33% for live transfer products.

How fast should I contact an insurance lead after receiving it?

The famous MIT / InsideSales.com study found pickup odds drop 100× from 5 min to 30 min. Real talk: that study only measured whether the phone got answered — not whether the lead bound a policy. Chapter Four's 29,358-lead production dataset shows leads first-connecting on attempt 1 convert at 1.77% vs. the 1.72% corpus baseline — statistically the same as random. Answer fast so the phone rings (your producers need that), but do not confuse pickup with conversion. Build your scoring around persistence: leads dialed 31+ times win at 5.45%, 3× baseline. MIT never measured that number.

What's the difference between shared leads, exclusive leads, and live transfers?

Shared leads are sold to 3–8 agents (typical caps: EverQuote 3, QuoteWizard 4). Exclusive leads go to one agent only. Live transfers are pre-qualified inbound phone calls connected directly to an agent. Cost and close rate both rise with exclusivity and intent.

Should I track cost-per-lead or cost-per-bind?

Cost-per-bind (CPB) is the metric that matters. Cost-per-lead is a vanity number that ignores close rate and retention. Two lead sources at the same CPL can have CPBs 3× apart. Track CPB weekly, segmented by source, producer, and carrier.

Which is the best insurance lead company for new P&C agents?

There is no universal "best." New agents generally benefit from vendors with strong onboarding and return policies: Hometown Quotes (agent-founded, integrated with major captive co-ops), EverQuote (tight distribution cap, dedicated consultants), and QuoteWizard (high volume, 4-agent cap) are common starting points. Allstate captive agents should use the Allstate Lead Marketplace.

What questions should I ask an insurance lead vendor before signing up?

Seven questions: (1) Where does the lead originate? (2) How many agents receive each shared lead? (3) What's the return policy and what counts as a valid return? (4) Are filters hard or soft? (5) What is the delivery method and latency? (6) What close rates do agents in my state report? (7) Can I test with 50 leads and no contract? Vendors who dodge any of these are a pass.

How to buy insurance leads without lighting money on fire.

The three kinds of leads, and why most agents buy the wrong one.

Shared Internet Leads

Exclusive Leads

Live Transfers & Warm Calls

The only math that actually matters.

Even MIT and Harvard got this wrong.

What 29,358 real leads actually do.

Source is king — and most weight tables get it backwards.

Spam score predicts contact rate like nothing else.

WIN% by total dial count: a valley and a persistence tail.

The "64.55% of wins on dial one" stat is causally misleading.

Reconciling "attempt 1" wins with a 15.4-dial sales cycle.

Vendor quality is two metrics, not one.

Every terminal status has a price tag.

The major insurance lead vendors, compared.

How to vet a lead vendor before you hand over the card.

The six mistakes that quietly bankrupt lead programs.

The authorities worth listening to.

Ready to put this playbook to work in your agency?

A working glossary for agents buying leads.

Frequently asked questions.

What is the average close rate on shared internet insurance leads?

How fast should I contact an insurance lead after receiving it?

What's the difference between shared leads, exclusive leads, and live transfers?

Should I track cost-per-lead or cost-per-bind?

Which is the best insurance lead company for new P&C agents?

What questions should I ask an insurance lead vendor before signing up?

The playbook in full.
Delivered quarterly, for free.

How to buy insurance leads without lighting money on fire.

The three kinds of leads, and why most agents buy the wrong one.

Shared Internet Leads

Exclusive Leads

Live Transfers & Warm Calls

The only math that actually matters.

Even MIT and Harvard got this wrong.

What 29,358 real leads actually do.

Source is king — and most weight tables get it backwards.

Spam score predicts contact rate like nothing else.

WIN% by total dial count: a valley and a persistence tail.

The "64.55% of wins on dial one" stat is causally misleading.

Reconciling "attempt 1" wins with a 15.4-dial sales cycle.

Vendor quality is two metrics, not one.

Every terminal status has a price tag.

The major insurance lead vendors, compared.

How to vet a lead vendor before you hand over the card.

The six mistakes that quietly bankrupt lead programs.

The authorities worth listening to.

Ready to put this playbook to work in your agency?

A working glossary for agents buying leads.

Frequently asked questions.

What is the average close rate on shared internet insurance leads?

How fast should I contact an insurance lead after receiving it?

What's the difference between shared leads, exclusive leads, and live transfers?

Should I track cost-per-lead or cost-per-bind?

Which is the best insurance lead company for new P&C agents?

What questions should I ask an insurance lead vendor before signing up?

The playbook in full. Delivered quarterly, for free.

The playbook in full.
Delivered quarterly, for free.