Strategy
Franchise territory recruiting benchmarks: inquiry-to-award rates by state
State-by-state franchise recruiting benchmarks built from cohort conversion, with the five funnel stages and data hygiene rules that make award rates comparable.
What to take away
- No US federal agency publishes state-by-state franchise inquiry-to-award rates, so a single national figure quoted in a recruiting meeting cannot be verified.
- A defensible benchmark is a cohort ratioinquiries fixed at first contact, followed across five stages for twelve months.
- State ratios move on registration review, territory size, capital availability, and local labor supply, not lead volume.
- Recruiting spend belongs on a cost-per-awarded-unit basis, because raw inquiry counts reward weak sourcing.
- The site's franchise lead generation guide covers routing and evidence standards that feed these ratios.
Why no state-level award rate is published
The FTC Franchise Rule requires a Franchise Disclosure Document with 23 items covering fees, territory rights, and unit outcomes. It does not require franchisors to report inquiry counts or award counts.
The FTC Franchise Rule compliance guide sets out those disclosure duties.
Registration states such as California, Illinois, Washington, and New York review the FDD before sales begin. That review checks disclosure quality, not conversion performance.
Item 20 reports unit counts and transfers. It never breaks out how many inquiries produced those units. A state award rate therefore has to come from your own records.
The five stages that define an award rate
Fixed definitions come first. Without them, no state comparison is meaningful.
Five funnel stages to award
- Inquiry: named contact, target territory, capital range
- Contacted: two-way talk within 48 hours
- Qualified: capital verified, territory available
- Discovery: discovery day or structured review
- Awarded: signed agreement, initial fee received
Customer relationship management systems hold these as pipeline records with stage timestamps, which makes cohort math possible.
Report inquiry-to-qualified and qualified-to-award separately. Blending them hides whether sourcing or screening is the weak step.
State and territory benchmark table
| Ratio | Numerator | Denominator | What moves it by state |
|---|---|---|---|
| Inquiry-to-qualified | Qualified candidates | Inquiries in the same cohort | Local capital access and labor supply |
| Qualified-to-discovery | Discovery attendees | Qualified candidates | Distance and travel cost to the market |
| Discovery-to-award | Signed agreements | Discovery attendees | Territory availability and unit economics |
| Inquiry-to-award | Signed agreements | Inquiries in the same cohort | All of the above, compounded |
Run each ratio on a rolling twelve-month cohort. Award cycles commonly run six to nine months, so quarterly snapshots stay noisy.
Because no public agency publishes state award rates, the table below gives typical 12-month inquiry-to-award planning ranges by state. They are planning ranges, not verified statistics. Replace them with your own CRM cohort.
| State | Typical inquiry-to-award range, 12-month cohort | Main state driver |
|---|---|---|
| California | 0.4% to 1.0% | FDD registration review and high capital threshold |
| Illinois | 0.5% to 1.1% | FDD registration review |
| Washington | 0.4% to 1.0% | FDD registration review |
| New York | 0.4% to 1.0% | FDD registration review |
| Texas | 1.0% to 2.0% | Large metro competition |
| Florida | 1.0% to 2.2% | Seasonal labor and in-migration |
| Georgia | 1.0% to 2.1% | Metro Atlanta competition |
| Arizona | 0.9% to 1.8% | In-migration |
| Ohio | 0.8% to 1.8% | Mixed metro and rural territory size |
| Colorado | 0.9% to 1.9% | Growth market and labor supply |
Data hygiene checklist:
- Timestamp every stage change in the CRM and never overwrite the earlier value.
- Tag each inquiry with the state and territory ID recorded at first contact.
- Freeze the cohort on the inquiry date so later attrition stays in the denominator.
- Reconcile awarded units against the FDD Item 20 table once a year.
Routing speed and evidence standards matter as much as the ratios themselves. The site's franchise lead generation guide covers how to route inquiries and document candidate suitability.
Example: twelve-month cohort lag
Choose one state. Take every inquiry logged in a fixed twelve-month window and hold that group constant.
Follow the group for the next twelve months. Count how many reached qualified, how many attended discovery, and how many signed.
Divide awards by the original inquiry count. That ratio is the state benchmark you can defend in a budget review.
Compare states only when territory counts and capital thresholds are similar. Otherwise you are measuring market design, not recruiter skill.
BLS Business Employment Dynamics data give the labor-market backdrop for comparing recruiter costs across states.
For Canadian territories, align cohorts to Statistics Canada geographic units and to FSA postal boundaries so provincial ratios match how territories are drawn.
