# Prospecting Criteria Across Commercial Insurance Verticals

> Compare the targeting inputs that matter across trucking, contractors, property, staffing, manufacturing, healthcare, hospitality, and other niches.

Source: https://commercial360.ai/blog/prospecting-criteria-across-commercial-insurance-verticals.html

Criteria vary by vertical: define appetite, identify facts that distinguish fit, set exclusion rules, prioritize the market, and qualify interest before handoff.

No checklist makes every account producer-ready. Fleet may be central to trucking and incidental to professional services. Criteria should be inputs tied to decisions, not a claim that every source is complete.

## Use five layers of criteria in every vertical

Organize inputs by the decision they support:

1. **Classification:** What does the business do, and which operations are in scope?
2. **Geography:** Where is it located or operating, and does that territory fit?
3. **Account size:** Which observable indicator best approximates the agency’s desired scale?
4. **Exposure or coverage fit:** Which facts suggest the lines and risks the agency wants?
5. **Contact and timing:** Who may influence insurance, and when is outreach worth prioritizing?

Add exclusions and evidence requirements to each layer. A criterion is useful only if it changes whether the account is included, excluded, reviewed, prioritized, or routed.

## Compare criteria across common commercial verticals

Use this matrix as a configuration menu.

| Vertical | Classification inputs | Size or exposure inputs | Contact or structure inputs | Important limitations |
| --- | --- | --- | --- | --- |
| Trucking | Operation, authority or status, haul categories | Fleet, drivers, radius, vehicle indicators | Owner, safety, fleet, finance | Fleet, authority, and haul data can be incomplete or stale |
| Contractors | Trade, license class, project type | Payroll, employees, revenue, subcontracting, fleet | Owner, controller, operations | Licenses do not fully describe current work; payroll and fleet vary by source |
| Commercial property | Property type, occupancy, location | Square footage, units, buildings, physical profile | Owner, manager, portfolio relationships | Ownership and occupancy can be unclear or outdated |
| Staffing | Staffing segment, client industries, placement type | Internal staff, temporary workforce, payroll indicators | Owner, finance, risk, operations | Workforce and payroll can change rapidly |
| Manufacturing | Products, processes, classification | Employees, revenue, locations, equipment or facility indicators | Owner, CFO, plant or risk leader | Broad classifications may hide materially different processes |
| Healthcare | Provider or facility type, services, regulated status | Locations, employees, beds or provider indicators | Administrator, practice owner, finance | Licensing confirms status, not the full operational or coverage profile |
| Hospitality and food service | Hotel, restaurant, franchise, venue, service model | Locations, rooms, seats, payroll, revenue indicators | Owner, operator, management company | Ownership and operating entities may differ |
| Professional services | Practice type, specialty, client profile | Professionals, employees, offices, revenue indicators | Partner, administrator, finance | Public data may provide little detail about contract or professional exposures |

## Choose the right size proxy for the coverage

“Account size” is not one universal number. Match the proxy to the coverage and vertical.

- Workers compensation campaigns may emphasize payroll, employee mix, and field exposure.
- Commercial auto campaigns may emphasize vehicles, drivers, and operating radius.
- Property campaigns may use buildings, square footage, units, construction, and occupancy.
- General liability targeting may require operations, project type, products, foot traffic, or subcontracting.
- Professional liability campaigns may use specialty, professional headcount, services, and client type.

Revenue and employee count may be estimated or misleading when a company uses temporary labor, subcontractors, automation, or seasonal work. Use ranges, confidence labels, and qualification questions when size affects eligibility.

## Distinguish hard exclusions from ranking signals

A hard exclusion should remove or hold an account because the agency cannot support it. A ranking signal changes outreach order without declaring the account ineligible.

| Hard exclusion examples | Ranking signal examples |
| --- | --- |
| Prohibited trade, haul, occupancy, state, or operation | Preferred class or strategic niche |
| Account outside required minimum or maximum | Higher expected account value |
| Missing evidence for a mandatory criterion | Stronger decision-maker evidence |
| Prior-contact or DNC rule prevents outreach | Credible timing or business event |
| Producer or carrier constraint blocks placement | Better geographic concentration |

An attractive timing signal should never override a prohibited class. A missing nonessential enrichment field should not automatically remove an account.

## Treat renewal timing as priority, not intent

Across every vertical, renewal dates and estimated windows have the same limitation: they can help schedule outreach, but they do not prove the prospect is shopping.

Maintain separate labels:

- **Eligible:** appears to fit the approved target based on required evidence.
- **Prioritized:** deserves earlier outreach because of timing, value, strategic fit, or contact quality.
- **Engaged:** a person responded, but fit or next step still needs review.
- **Qualified:** the response meets the agency’s agreed fit and interest threshold.
- **Follow-up:** timing or referral context exists, but the account is not a newly qualified handraiser.

## Apply an evidence policy across sources

Registries, licenses, assessor records, websites, databases, and contact providers answer different questions. Coverage, freshness, and definitions vary.

Use this evidence checklist:

- [ ] Define which criteria require hard evidence
- [ ] Record source and freshness for decision-changing facts
- [ ] Compare sources when a conflict would change eligibility
- [ ] Label estimates, ranges, and inferred relationships
- [ ] Route weak hard evidence to review or skip
- [ ] Deduplicate related entities, locations, portfolios, and prior contacts
- [ ] Recheck DNC, caps, appetite version, and eligibility before outreach

## Build a vertical launch checklist

Before a new niche goes live, confirm:

### Appetite and market

- [ ] Included operations and classifications are explicit
- [ ] Geography, account scale, desired lines, and exclusions are approved
- [ ] Producer capacity and campaign caps are set
- [ ] The selected criteria are actually available with usable coverage

### Research and outreach

- [ ] Evidence requirements and review paths are documented
- [ ] Contact roles reflect the vertical’s buying structure
- [ ] Calling, email, and LinkedIn use the same segment definition
- [ ] Messages avoid presenting inferred or estimated facts as certain
- [ ] DNC and prior-contact rules are applied

### Qualification and handoff

- [ ] Callers know the minimum questions needed to confirm fit
- [ ] Renewal timing is separated from expressed interest
- [ ] Potential follow-ups are distinct from qualified responses
- [ ] Handoffs include account, contact, evidence, conversation, and next action
- [ ] Producer outcomes return to the next targeting cycle

Commercial360 can coordinate research, calling, email, LinkedIn, response review, qualification, and producer-ready context around an approved market.

## Adapt the matrix when moving into a new niche

For a new vertical, begin narrowly. Define the operation, territory, account scale, and coverage pattern, then test whether useful criteria and decision-maker evidence exist. Review a sample before broad outreach.

Do not assume a criterion transfers cleanly between niches. “Fleet” means something different for a trucking company, contractor, home-health provider, and restaurant group. A license may identify an entity without explaining current operations.

Launch at a volume producers can service. Fix classification, contact, or fit problems before adding records.

## Know the limitations of cross-vertical targeting

Commercial sources have different update cycles and definitions. Entity names and relationships vary. Payroll, revenue, fleet, and employee estimates can conflict. A record can fit a targeting model and still fail underwriting or decline a conversation.

Prospecting should therefore use evidence to improve selection, not claim certainty. Preserve unknowns, verify decision-changing facts, qualify responses, and let producer feedback update the criteria.