HOME/LOCAL/BUY LIFE INSURANCE LEADS

Buy Life Insurance Leads

DATABASE ID: LOCAL-BUY- | RECORDS: 50,000 | LAST VERIFIED: TODAY
IDCompanyWebsiteKey ContactTitleVerified EmailIntent Score
00001Company 652 LLCwww.company1.comExec Name 1CEOexec1@company1.com96
00002Company 577 LLCwww.company2.comExec Name 2Founderexec2@company2.com96
00003Company 796 LLCwww.company3.comExec Name 3VP of Marketingexec3@company3.com87
00004Company 811 LLCwww.company4.comExec Name 4Founderexec4@company4.com96
00005Company 5 LLCwww.company5.comExec Name 5CEOexec5@company5.com96
00006Company 474 LLCwww.company6.comExec Name 6VP of Marketing••••••••••••@••••.com87
00007Company 737 LLCwww.company7.comExec Name 7CEO••••••••••••@••••.com80
00008Company 758 LLCwww.company8.comExec Name 8Founder••••••••••••@••••.com92
00009Company 900 LLCwww.company9.comExec Name 9VP of Marketing••••••••••••@••••.com94
00010Company 341 LLCwww.company10.comExec Name 10Founder••••••••••••@••••.com85
00011Company 141 LLCwww.company11.comExec Name 11CEO••••••••••••@••••.com81
00012Company 980 LLCwww.company12.comExec Name 12VP of Marketing••••••••••••@••••.com90
00013Company 856 LLCwww.company13.comExec Name 13CEO••••••••••••@••••.com87
00014Company 61 LLCwww.company14.comExec Name 14Founder••••••••••••@••••.com95
00015Company 750 LLCwww.company15.comExec Name 15VP of Marketing••••••••••••@••••.com89
00016Company 95 LLCwww.company16.comExec Name 16Founder••••••••••••@••••.com90
00017Company 810 LLCwww.company17.comExec Name 17CEO••••••••••••@••••.com96
00018Company 690 LLCwww.company18.comExec Name 18VP of Marketing••••••••••••@••••.com89
00019Company 856 LLCwww.company19.comExec Name 19CEO••••••••••••@••••.com84
00020Company 886 LLCwww.company20.comExec Name 20Founder••••••••••••@••••.com97
00021Company 516 LLCwww.company21.comExec Name 21VP of Marketing••••••••••••@••••.com94
00022Company 683 LLCwww.company22.comExec Name 22Founder••••••••••••@••••.com89
00023Company 515 LLCwww.company23.comExec Name 23CEO••••••••••••@••••.com84
00024Company 322 LLCwww.company24.comExec Name 24VP of Marketing••••••••••••@••••.com85
00025Company 296 LLCwww.company25.comExec Name 25CEO••••••••••••@••••.com82
00026Company 627 LLCwww.company26.comExec Name 26Founder••••••••••••@••••.com99
00027Company 916 LLCwww.company27.comExec Name 27VP of Marketing••••••••••••@••••.com86
00028Company 550 LLCwww.company28.comExec Name 28Founder••••••••••••@••••.com90
00029Company 844 LLCwww.company29.comExec Name 29CEO••••••••••••@••••.com84
00030Company 35 LLCwww.company30.comExec Name 30VP of Marketing••••••••••••@••••.com96
00031Company 68 LLCwww.company31.comExec Name 31CEO••••••••••••@••••.com90
00032Company 655 LLCwww.company32.comExec Name 32Founder••••••••••••@••••.com88
00033Company 346 LLCwww.company33.comExec Name 33VP of Marketing••••••••••••@••••.com85
00034Company 268 LLCwww.company34.comExec Name 34Founder••••••••••••@••••.com99
00035Company 263 LLCwww.company35.comExec Name 35CEO••••••••••••@••••.com85
00036Company 876 LLCwww.company36.comExec Name 36VP of Marketing••••••••••••@••••.com85
00037Company 445 LLCwww.company37.comExec Name 37CEO••••••••••••@••••.com87
00038Company 594 LLCwww.company38.comExec Name 38Founder••••••••••••@••••.com90
00039Company 298 LLCwww.company39.comExec Name 39VP of Marketing••••••••••••@••••.com80
00040Company 132 LLCwww.company40.comExec Name 40Founder••••••••••••@••••.com92
00041Company 690 LLCwww.company41.comExec Name 41CEO••••••••••••@••••.com99
00042Company 563 LLCwww.company42.comExec Name 42VP of Marketing••••••••••••@••••.com80
00043Company 924 LLCwww.company43.comExec Name 43CEO••••••••••••@••••.com95
00044Company 295 LLCwww.company44.comExec Name 44Founder••••••••••••@••••.com98
00045Company 139 LLCwww.company45.comExec Name 45VP of Marketing••••••••••••@••••.com96
00046Company 578 LLCwww.company46.comExec Name 46Founder••••••••••••@••••.com80
00047Company 423 LLCwww.company47.comExec Name 47CEO••••••••••••@••••.com91
00048Company 480 LLCwww.company48.comExec Name 48VP of Marketing••••••••••••@••••.com90
00049Company 837 LLCwww.company49.comExec Name 49CEO••••••••••••@••••.com92
00050Company 361 LLCwww.company50.comExec Name 50Founder••••••••••••@••••.com99
[ 49,950 ROWS LOCKED ]
>_ SYSTEM.ANALYSIS.LOG_

Scraping life insurance leads is a mess. Every state has different regulations, and most carriers block bots harder than the DMV. We spent three weeks reverse-engineering the aggregator APIs to extract contact info and policy intent. Finally got it working, but we now have a permanent IP-ban list longer than my arm.

The data is a mix of quote requests, click-throughs, and form fills. We filter out the tire-kickers by cross-referencing with financial indicators and page dwell time. Still, about 30% are junk. You're buying leads, not conversions. Set your dialer expectations accordingly.

We refresh the database every 30 days. If a lead goes stale, we replace it with a fresh one, no questions asked. We've been doing this for 6 years and have a churn rate under 5%. It's not glamorous, but it keeps the lights on.

Data Schema & Dictionary

lead_id

Unique identifier for each lead. Useful for deduplication and tracking in your CRM. Don't expect any hidden insights here.

first_name

First name of the lead. Often fake, but we validate against known patterns. Use it for personalization, but don't be surprised if 'John' is actually 'Jane'.

last_name

Last name. Same caveats as first_name. We cross-check with voter registration to increase accuracy, but it's not 100%.

email

Primary email address. Most are valid, but some are disposable. We run a syntax and domain check, and we bounce-test within 24 hours. If it fails, you get a credit.

phone_number

Direct or mobile number. We verify with a carrier lookup. Most are mobile, which is good for texting if you're into that. Don't call before 8 AM or after 9 PM – you'll just annoy people.

date_of_birth

The lead's birth date. Critical for pricing and eligibility. We source this from public records, but it's accurate within a year. Double-check if you're underwriting.

coverage_amount_requested

The amount of life insurance coverage the lead requested, in dollars. This is the single most useful field for prioritization. Bigger numbers mean more serious buyers, generally.

coverage_type

Term, whole, or universal. Indicates the product interest. Term leads are cheaper and convert faster; whole life leads are more valuable but rarer.

health_class

Self-reported health status: excellent, good, average, poor. Most people lie, so treat this as a soft signal. Combine with age and coverage to score leads.

income_range

Annual income bracket. Helps you qualify leads for premium products. We get this from third-party demographic overlays, so it's approximate.

state

Two-letter US state abbreviation. Essential for licensing and regulatory compliance. Don't sell to states you can't operate in.

source_url

The URL where the lead originated. Useful for tracking campaign performance. But don't expect us to tell you which site – we don't disclose that to protect our sources.

timestamp

When the lead was captured, in ISO 8601 format. Leads older than 30 days are automatically recycled. We time-stamp at scrape time, so you know freshness.

ip_address

The IP of the lead's device. We anonymize it after extraction, but it helps with geo-verification. Don't use it for anything shady – that's on you.

user_agent

Browser and device info. Helps you personalize the outreach channel. Most leads are on mobile, so make sure your forms and calls are mobile-friendly.

Frequently Asked Questions

How fresh is this data?
We scrape on the 1st of every month. Leads are captured in real-time, but you get the batch on the 1st. If a lead bounces or is a dead end, tell us within 7 days and we swap the credit. Simple.
Do you provide phone numbers that are DNC-compliant?
We scrub against the National DNC registry every month. But we're not your lawyer. You're responsible for your own compliance. If you get fined, that's on you.
Can I get a sample before buying?
Sure. We'll send you 50 random leads for free. Just request a sample on our site. You'll see the format and quality. If you like it, buy. If not, no hard feelings.
How do you handle duplicate leads?
We deduplicate on email and phone at the source. You get one row per unique lead. But if a lead comes in from two different sources, we keep the one with the most recent timestamp. We delete the other. No double charges.
What is your refund policy?
If you buy and the data is garbage – like 80% bounce rate – we'll refund your money. But we've been in business for 6 years, and that's only happened twice. We test everything before we ship.

Related Local Datasets

buy real estate leadsbuy leads for real estatebuy leads real estatebuy leads for life insurancebuy mortgage leadsbuy leads for insurancebuy leads insurancebuy insurance leads