Commercial insurance distribution intelligence

Stop buying agency lists. Start reading the paper trail.

Most prospecting starts with a name, a title, and a guess. That's not how commercial-insurance distribution works. Seven16 Intel maps the writing-company paper trail behind every U.S. commercial-insurance agency — refreshed monthly against state filings — so carriers, MGAs, wholesalers, and program teams can find the agencies already appointed with the markets they compete with.

The directory at a glance

What's in the data today.

Live counts pulled from production. All 50 states + DC + 3 territorial add-ons. Refreshed monthly against state DOI filings.

Verified agencies
41,000+
Contacts indexed
135K+
Writing companies
2,000+
Verified appointments
260K+

Generic lead databases don't know who can bind your program.

Distribution teams targeting by job title and revenue band waste outreach on agents who can't place the risk. The signal that actually predicts placement is the carrier appointment behind the agency.

  • Contact titles don't prove market access.

    A producer's LinkedIn says VP, Commercial Lines. That doesn't tell you which carriers they can bind today.

  • Agency websites don't reveal current appointments.

    Marketing pages list aspirational partners. State DOI filings show who's actually writing the paper.

  • CRM lists decay as agents move, merge, and change markets.

    Stale rolodexes burn outreach. A monthly refresh against public filings keeps the recruit list honest.

Seven16 Intel targets by the appointment relationships that actually matter.

Appointment intelligence beats contact data.

Generic B2B contact databases answer one question. Carrier financial-data vendors answer another. Neither tells you which agencies actually hold the carrier paper your program competes with this quarter.

Generic contact database
Seven16 Intel
  • Targets by title and revenue band
    Targets by verified carrier appointment
  • Stale CRM records
    Monthly refresh against state DOI filings
  • No proof of market access
    Per-row verified-as-of date
  • Parent groups hidden
    Writing company → parent group mapping
  • More names, lower fit
    Fewer names, higher recruit fit

From public filings to recruit-ready agency lists.

The same four steps run every month against fresh state filings. No vendor magic, no opaque scoring — the methodology is published openly.

  1. 01

    Collect

    State DOI filings, carrier appointments, agency records, contacts, cluster affiliations, and market data — every month.

  2. 02

    Normalize

    Map writing companies to parent insurance groups. Reconcile agency entities and contact records across sources.

  3. 03

    Score

    Rank agencies by vertical specialization, appointment volume, carrier diversity, and target-program fit.

  4. 04

    Activate

    Browse, filter, save, export, and build recruit campaigns from a list of verified, market-accessible agencies.

Five ways distribution teams use Seven16 Intel.

The same dataset, scored five different ways. Pick the play that matches your quarter.

  • Displace competitor paper

    Find agencies already appointed with the carrier your program competes against.

  • Launch a new program

    Build vertical-specific recruit lists by state, appointment behavior, and carrier fit.

  • Map white space

    See where competitors have agency penetration and your distribution is thin.

  • Identify specialist agencies

    Prioritize agencies with repeated appointment behavior in your target vertical.

  • Reduce wasted outreach

    Exclude agencies with stale appointments or too much carrier concentration.

A scoring model built around how distribution actually works.

Open methodology. No black-box vendor magic. Each input is independently auditable against state filings.

Agency Recruit Score
Appointment VolumeSpecialization TierCarrier DiversityVerified Freshness
  • Appointment Volume

    Tells whether the agency exists in the market — how many writing-company relationships they hold.

  • Specialization Tier

    Tells what they actually write — concentration of appointments inside a vertical vs. spread thin.

  • Carrier Diversity

    Tells whether they may be open to another market — low diversity flags concentration risk.

  • Verified Freshness

    Tells whether the data can be trusted — every row carries a verified-as-of date.

Operator’s view

Distribution is not a spreadsheet problem.
It’s a judgment problem.

Who can actually write this business? Who already understands the risk? Who’s holding the carrier paper your program competes with? Who has too many markets? Who has too few? Who’s worth a BDM’s time?

For years, distribution teams answered those questions with old CRM notes, conference memory, website logos, and generic lead databases. None of which read the appointment trail.

Seven16 Intel gives the market a better map.

We start with the appointment trail because that’s where market access shows up. Then we normalize the writing companies, connect them to parent groups, score the agency signal, and give distribution teams a list they can actually work.

The goal is not more names.
The goal is fewer wasted conversations.

Verified against the filings buyers actually trust.

Every signal in the platform traces back to a public source. The methodology is open — the data is what it is.

  • State DOI filings

    Public department-of-insurance filings are the ground truth for who's appointed where.

  • Writing company normalization

    Carrier subsidiaries are reconciled to a canonical writing-company entity per filing.

  • Parent group mapping

    Writing companies roll up to their parent insurance group so program competition is legible.

  • 30-day refresh cycle

    The full pipeline runs monthly. Rows stamped older than a quarter are flagged stale.

  • Dual-agent review

    Confidence-tier outputs from automated matching get a second pass before they flip to verified.

  • Verified-as-of per row

    Every agency, contact, and appointment carries a verified-as-of date — no opaque last-refreshed banner.

Pricing

Sample, monthly, custom, or national.

Four transparent ways to buy commercial-insurance data. Start with a $75 sample, sign up for monthly access, build a custom file by state, or buy a full U.S. license.

Starter Sample

Test quality before committing.

$75 one-time
  • 50 filtered contacts
  • Full record export
  • Choose your states + filters
  • One CSV download
Try the sample
Most popular

Monthly Access

Ongoing prospecting teams.

from $299/mo
  • 250 to 3,000 exports / month
  • 1 to 5 seats by tier
  • Saved lists + filters
  • Annual prepay discount
Start monthly

Build Your File

Custom slice of the market.

from $500
  • $1.20 → $0.40 per record
  • Volume discount slides up
  • Choose states + roles + filters
  • One-time CSV delivery
Build a file

National License

Full U.S. database.

$12,500/yr
  • Full U.S. access
  • Annual license
  • Founder-rate positioning
  • Best effective value
Talk to us

See the full pricing page for tier details, custom-file volume math, and the National Founder License.

Distribution is not a spreadsheet problem

It's a judgment problem.

Seven16 Intel gives your team a defensible recruit list — scored by observable appointment behavior, refreshed monthly, and built for the play you're running this quarter. Browse free, pay only when you export.