69.9 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Durham, North Carolina
We compared 14 franchise concepts for Durham, North Carolina. Household service demand was a leading positive mechanism. Management and technical labor pressure was a leading operating constraint.
Evaluation set
Why these concepts were evaluated
This is not a ranking of every franchise that may be offered in the city.
Concepts were included when enough operating-model information existed to assign a provisional local-sensitivity profile. Unresolved inputs reduce confidence or remain conditional rather than automatically excluding a concept.
A brand’s participation in our referral network does not add points or change its position.
City-level conclusions
What stood out in our assessment
1.3 points average among 13 affected concepts
0.5 points average reduction among 14 affected concepts
Tested rank range spans 8 positions
Executive conclusion
What the ranking means for Durham, North Carolina
City Wide, Jan-Pro International, and HomeSmiles produced the highest modeled local-alignment scores in the evaluated set. Household service demand was the strongest positive scored mechanism among 8 exposed concepts, adding 0.9 points on average. Management and technical labor pressure was the broadest operating constraint, reducing exposed concepts by 0.5 points on average. These scores describe local operating alignment, not expected returns or overall franchise quality; the offered territory and franchise economics still require separate diligence.
How this differs from a directory: the model does not award points for brand popularity, advertising placement, or referral compensation. It tests how documented local conditions interact with each concept’s operating requirements.
Best franchise opportunities assessed
Top 10 local-alignment scores from 14 concepts assessed
“Best” refers to modeled local operating alignment among the concepts assessed—not expected earnings, franchise-system quality, or candidate fit.
| Rank | Franchise | Alignment and tier | Largest advantage | Largest constraint | Evidence confidence |
|---|---|---|---|---|---|
| 1 | City WideFacility managementInvestment: $229,729–$410,730 | 72.8Tier 2 · Favorable modeled alignment | +2.6 ptsTarget-market demand | -0.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 2 | Jan-Pro InternationalCommercial cleaningInvestment: $130,000–$421,500 | 72.2Tier 2 · Favorable modeled alignment | +2.1 ptsTarget-market demand | -0.1 ptsLabor and staffing friction | Moderate evidence confidence |
| 3 | HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800 | 72.0Tier 3 · Mixed modeled alignment | +2.3 ptsTarget-market demand | -0.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 4 | ActionCOACHBusiness coachingInvestment: $71,668–$303,513 | 71.5Tier 3 · Mixed modeled alignment | +1.3 ptsTarget-market demand | -0.4 ptsLabor and staffing friction | Moderate evidence confidence |
| 5 | Pillar To Post Home InspectorsHome inspectionInvestment: $102,690–$134,290 | 71.2Tier 3 · Mixed modeled alignment | +1.5 ptsTarget-market demand | -0.3 ptsLabor and staffing friction | Moderate evidence confidence |
| 6 | ZOOM DRAINDrain and sewer serviceInvestment: $266,250–$570,500 | 70.7Tier 3 · Mixed modeled alignment | +1.1 ptsTarget-market demand | -0.7 ptsReal estate and site feasibility | Moderate evidence confidence |
| 7 | FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285 | 70.7Tier 3 · Mixed modeled alignment | +1.7 ptsTarget-market demand | -0.7 ptsReal estate and site feasibility | Moderate evidence confidence |
| 8 | Mr. RooterPlumbingInvestment: $152,900–$298,675 | 70.6Tier 3 · Mixed modeled alignment | +1.2 ptsTarget-market demand | -0.5 ptsReal estate and site feasibility | Moderate evidence confidence |
| 9 | Mister Sparky ElectricElectrical | 70.5Tier 3 · Mixed modeled alignment | +0.9 ptsTarget-market demand | -0.4 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | Workout AnytimeFitnessInvestment: $1,060,850–$1,840,550 | 70.4Tier 3 · Mixed modeled alignment | +0.7 ptsTarget-market demand | -0.3 ptsLabor and staffing friction | Moderate evidence confidence |
Conditions that changed the analysis
What mattered most in Durham, North Carolina
Recent city population and county housing growth support household-service demand
This relationship affected 8 concepts and added 0.9 points on average among those exposed. Local evidence: Durham County housing units and 2025 building permits: housing units 2025: 164,222; building permits 2025: 4,772; county population growth 2020 base to 2025 percent: 6.9 mixed count and percent. [5] [4]
Above-average management and computer/technical employment concentration raises competition for overlapping roles
This relationship affected 14 concepts and reduced 0.5 points on average among those exposed. Local evidence: Research Triangle Park company and employment scale with Durham County land share: employees more than: 55,000; companies more than: 385; park acres: 7,000; approximate land share in durham county percent: 75 mixed count area and percent. [10] [11] [8]
recurring-commercial-service
This operating-model cluster separated from the broader set because its exposure to local support and constraints differed. The strongest positive factor was target-market demand, while the main constraint was labor and staffing friction. [8] [6] [5] [11] [9] [10] [1] [12] [13]
Evidence behind the city mechanisms
County business scale and the RTP employment cluster support local B2B account demand1 modeled effect
Recent city population and county housing growth support household-service demand1 modeled effect
Service-oriented small-bay industrial space remains tighter than broad flex/life-science availability1 modeled effect
Above-average management and computer/technical employment concentration raises competition for overlapping roles1 modeled effect
Active waterline and street work creates temporary route, curb, and loading friction on named Durham corridors1 modeled effect
Compare all assessed concepts
Local impact by franchise concept
14 concepts shown. Expand a concept to see the score-changing factors and their modeled drivers; the full audit ledger stays collapsed.
City Wide
Initial investment: $229,729–$410,730
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +2.6 pts | |
| Referral ecosystem |
| +0.7 pts |
| Labor and staffing friction |
| -0.6 pts |
| Net local movement | +2.78 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.6 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.7 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.78 |
| Published local-market alignment | 72.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.6 pts
- Tested rank range
- #1–#2
Jan-Pro International
Initial investment: $130,000–$421,500
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +2.1 pts | |
| Referral ecosystem |
| +0.2 pts |
| Labor and staffing friction |
| -0.1 pts |
| Net local movement | +2.20 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.1 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.1 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.2 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.20 |
| Published local-market alignment | 72.2 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.1 pts
- Tested rank range
- #2–#3
HomeSmiles
Initial investment: $148,110–$201,800
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +2.3 pts | |
| Referral ecosystem |
| +0.6 pts |
| Labor and staffing friction |
| -0.6 pts |
| Real estate and site feasibility |
| -0.3 pts |
| Net local movement | +1.97 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | -0.3 |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.6 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.97 |
| Published local-market alignment | 72.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.3 pts
- Tested rank range
- #2–#7
ActionCOACH
Initial investment: $71,668–$303,513
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +1.3 pts | |
| Referral ecosystem |
| +0.6 pts |
| Labor and staffing friction |
| -0.4 pts |
| Net local movement | +1.51 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.6 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.51 |
| Published local-market alignment | 71.5 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.3 pts
- Tested rank range
- #1–#5
Pillar To Post Home Inspectors
Initial investment: $102,690–$134,290
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +1.4 pts | |
| Labor and staffing friction |
| -0.3 pts |
| Property replacement-cycle demand |
| +0.1 pts |
| Net local movement | +1.24 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.4 |
| Property replacement-cycle demand | +0.1 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.3 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.24 |
| Published local-market alignment | 71.2 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.5 pts
- Tested rank range
- #4–#7
ZOOM DRAIN
Initial investment: $266,250–$570,500
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +1.1 pts | |
| Real estate and site feasibility |
| -0.7 pts |
| Labor and staffing friction |
| -0.4 pts |
| Referral ecosystem |
| +0.4 pts |
| Property replacement-cycle demand |
| +0.3 pts |
| Net local movement | +0.71 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.1 |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | -0.7 |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.71 |
| Published local-market alignment | 70.7 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.1 pts
- Tested rank range
- #5–#10
FASTSIGNS
Initial investment: $231,226–$386,285
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +1.7 pts | |
| Real estate and site feasibility |
| -0.7 pts |
| Labor and staffing friction |
| -0.7 pts |
| Referral ecosystem |
| +0.3 pts |
| Net local movement | +0.66 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.7 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.7 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | -0.7 |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.3 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.66 |
| Published local-market alignment | 70.7 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.7 pts
- Tested rank range
- #6–#13
Mr. Rooter
Initial investment: $152,900–$298,675
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +1.2 pts | |
| Real estate and site feasibility |
| -0.5 pts |
| Labor and staffing friction |
| -0.4 pts |
| Property replacement-cycle demand |
| +0.3 pts |
| Net local movement | +0.61 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.2 |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | -0.5 |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.61 |
| Published local-market alignment | 70.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.2 pts
- Tested rank range
- #6–#11
Mister Sparky Electric
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +0.9 pts |
| Labor and staffing friction |
| -0.4 pts |
| Real estate and site feasibility |
| -0.3 pts |
| Property replacement-cycle demand |
| +0.3 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +0.46 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.9 |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | -0.3 |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.46 |
| Published local-market alignment | 70.5 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.9 pts
- Tested rank range
- #7–#10
Workout Anytime
Initial investment: $1,060,850–$1,840,550
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +0.7 pts |
| Labor and staffing friction |
| -0.3 pts |
| Net local movement | +0.37 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.7 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.3 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.37 |
| Published local-market alignment | 70.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.7 pts
- Tested rank range
- #8–#13
Rainbow International Restoration
Initial investment: $185,336–$351,900
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Real estate and site feasibility |
| -0.7 pts |
| Referral ecosystem |
| +0.5 pts |
| Labor and staffing friction |
| -0.3 pts |
| Property replacement-cycle demand |
| +0.2 pts |
| Target-market demand |
| +0.2 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | -0.06 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.2 |
| Property replacement-cycle demand | +0.2 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.3 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | -0.7 |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.5 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.94 |
| Published local-market alignment | 69.9 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Real estate and site feasibility -0.7 pts
- Tested rank range
- #5–#13
Aire Serv
Initial investment: $113,308–$271,708
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +1.2 pts | |
| Labor and staffing friction |
| -1.0 pts |
| Real estate and site feasibility |
| -0.7 pts |
| Property replacement-cycle demand |
| +0.3 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | -0.13 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.2 |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.0 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | -0.7 |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.87 |
| Published local-market alignment | 69.9 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.2 pts
- Tested rank range
- #9–#14
Tiger Adjusters
Initial investment: $43,050–$159,500
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction |
| -0.7 pts |
| Target-market demand | +0.5 pts | |
| Net local movement | -0.18 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.5 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.7 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.82 |
| Published local-market alignment | 69.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.7 pts
- Tested rank range
- #11–#14
PuroClean
Initial investment: $54,575–$262,145
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Real estate and site feasibility |
| -0.7 pts |
| Referral ecosystem |
| +0.5 pts |
| Labor and staffing friction |
| -0.3 pts |
| Property replacement-cycle demand |
| +0.2 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | -0.24 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.2 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.3 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | -0.7 |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.5 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.76 |
| Published local-market alignment | 69.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Real estate and site feasibility -0.7 pts
- Tested rank range
- #6–#14
No franchise concepts match the selected filters.
Worked score example
How we calculated City Wide
This example uses the same ledger shown for every concept and must reconcile exactly to the published score.
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.6 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.7 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.78 |
| Published local-market alignment | 72.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Factor impact
Which local conditions changed scores or rankings?
We neutralized one factor at a time, recalculated every score, and then measured both absolute score movement and changes in rank order.
Target-market demand
We tested how much of the city’s theoretical customer and business demand remained usable after operating friction.
Why concepts react differently
We applied a measurable adjustment to 13 of 14 concepts. When we neutralized the factor and recalculated the table, 12 concepts changed position. FASTSIGNS moved from #7 to #13, the largest movement among concepts directly affected by this factor.
What we observed
- Research Triangle Park Company And Employment Scale With Durham County Land Shareemployees more than: 55,000; companies more than: 385; park acres: 7,000; approximate land share in durham county percent: 75 mixed count area and percent
- Population Change From April 2020 Estimate Base To July 20257.6 percent
- Durham County Housing Units And 2025 Building Permitshousing units 2025: 164,222; building permits 2025: 4,772; county population growth 2020 base to 2025 percent: 6.9 mixed count and percent
Concepts helped most
Property replacement-cycle demand
We compared the age and condition of relevant property systems with the services each concept is actually equipped to provide.
Why concepts react differently
We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 8 concepts changed position. ZOOM DRAIN moved from #6 to #8, the largest movement among concepts directly affected by this factor.
What we observed
- Average Residential Construction Year And Oldest Neighborhood Patternselected county average year built: 1,975; oldest neighborhoods average period: 1920s-1930s year and period
Concepts helped most
Labor and staffing friction
We compared each concept’s frontline and specialist staffing requirements with the local labor environment.
Why concepts react differently
We applied a measurable adjustment to 14 of 14 concepts. When we neutralized the factor and recalculated the table, 8 concepts changed position. Aire Serv moved from #12 to #10, the largest movement among concepts directly affected by this factor.
What we observed
- Research Triangle Park Company And Employment Scale With Durham County Land Shareemployees more than: 55,000; companies more than: 385; park acres: 7,000; approximate land share in durham county percent: 75 mixed count area and percent
- Management And Technical Occupational Concentration And Wages In The Durham Chapel Hill Msaall occupations mean hourly durham: 38.32; all occupations mean hourly us: 33.54; management share durham percent: 8.2; management share us percent: 7.2; management mean hourly durham: 77.11; management mean hourly us: 69.84; computer math share durham percent: 7.3; computer math share us percent: 3.4; additional values omitted percent and usd per hour
Concepts challenged most
Real estate and site feasibility
We applied site and operating-base constraints only to concepts requiring comparable storefront, production, warehouse, or fleet space.
Why concepts react differently
We applied a measurable adjustment to 8 of 14 concepts. When we neutralized the factor and recalculated the table, 9 concepts changed position. FASTSIGNS moved from #7 to #5, the largest movement among concepts directly affected by this factor.
What we observed
- Flex/life Science Vacancy Varies Sharply Across Durham Submarketsrtp i40 percent: 15.57; central durham percent: 18.59; north durham percent: 47.31; south durham percent: 1.17; triangle overall percent: 14.82 vacancy percent
- Triangle Small Bay Industrial Tightness Relative To Broad Flex Availabilitybroad flex vacancy range percent: 7.5, 8.5; small bay industrial vacancy approx percent: 5; outdoor storage for products and service vehicles: premium and zoning constrained percent and market condition
Concepts challenged most
Referral ecosystem
We tested whether the local professional and institutional referral ecosystem materially separated the assessed concepts.
Why concepts react differently
We applied a measurable adjustment to 8 of 14 concepts. When we neutralized the factor and recalculated the table, 10 concepts changed position. ZOOM DRAIN moved from #6 to #10, the largest movement among concepts directly affected by this factor.
What we observed
- Research Triangle Park Company And Employment Scale With Durham County Land Shareemployees more than: 55,000; companies more than: 385; park acres: 7,000; approximate land share in durham county percent: 75 mixed count area and percent
- Duke Employment And Durham Campus Building Footprintcampus employees: 9,323; schools of medicine and nursing employees: 11,804; duke hospital employees: 11,776; duke regional hospital employees: 2,270; durham campus buildings total: 245; durham academic research buildings: 118; durham medical center buildings: 66 employees and buildings
- Formal Vendor Onboarding Is Required For City Of Durham And Duke Procurementcity requirements: Vendor Self Service application, completed signed W-9 for active vendor status; duke requirements: PaymentWorks registration for new vendors/payees, approved vendor number required for Buy@Duke carts, SAP requisitions, and most AP Check Requests process requirements
Concepts helped most
- Competitive environmentNo material score adjustment
- Transportation, routing, and parkingNo material score adjustment
- Sales and customer acquisitionNo material score adjustment
- Territory qualityNo material score adjustment
- Regulatory and operating frictionNo material score adjustment
Rank stability
Which positions depend most on individual assumptions?
The line shows the best and worst rank reached when one factor was removed from every concept. A narrow range indicates a more stable position.
Neutralizing a factor removes it from every concept. A concept can move down even when its own score improves because competitors may benefit more.
Original factor comparison
How each factor affected the highest-rated franchise concepts
The graph includes the top 14 concepts by local-alignment score. Only nonzero score contributions are plotted. A factor is removed when every displayed concept received 0.0 points from it. Hover or focus a concept name to highlight all of its remaining data points.
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Labor and staffing friction | Real estate and site feasibility | Referral ecosystem |
|---|---|---|---|---|---|
| #1 City Wide | +2.6 pts | — | -0.6 pts | — | +0.7 pts |
| #2 Jan-Pro International | +2.1 pts | — | -0.1 pts | — | +0.2 pts |
| #3 HomeSmiles | +2.3 pts | — | -0.6 pts | -0.3 pts | +0.6 pts |
| #4 ActionCOACH | +1.3 pts | — | -0.4 pts | — | +0.6 pts |
| #5 Pillar To Post Home Inspectors | +1.5 pts | +0.1 pts | -0.3 pts | — | — |
| #6 ZOOM DRAIN | +1.1 pts | +0.3 pts | -0.4 pts | -0.7 pts | +0.4 pts |
| #7 FASTSIGNS | +1.7 pts | — | -0.7 pts | -0.7 pts | +0.3 pts |
| #8 Mr. Rooter | +1.2 pts | +0.3 pts | -0.4 pts | -0.5 pts | — |
| #9 Mister Sparky Electric | +0.9 pts | +0.3 pts | -0.4 pts | -0.3 pts | — |
| #10 Workout Anytime | +0.7 pts | — | -0.3 pts | — | — |
| #11 Rainbow International Restoration | +0.2 pts | +0.2 pts | -0.3 pts | -0.7 pts | +0.5 pts |
| #12 Aire Serv | +1.2 pts | +0.3 pts | -1.0 pts | -0.7 pts | — |
| #13 Tiger Adjusters | +0.5 pts | — | -0.7 pts | — | — |
| #14 PuroClean | — | +0.2 pts | -0.3 pts | -0.7 pts | +0.5 pts |
Interpretation
How to interpret the result
City Wide, Jan-Pro International, HomeSmiles led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to labor and staffing friction. The same city condition can help one operating model and constrain another, so score differences should be read through each concept's factor pattern rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for HomeSmiles, ActionCOACH, ZOOM DRAIN; their ranks move more widely when individual factors are neutralized.
Local evidence assessed for modeling
Category comparisons
Best franchise categories we assessed in Durham, North Carolina
Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.
Best Restoration franchise opportunities we assessed in Durham, North Carolina
2 Restoration concepts qualified for comparison, with scores ranging from 69.8 to 69.9. Rainbow International Restoration ranked highest at 69.9. Referral ecosystem added 0.5 points on average among the affected concepts. Real estate and site feasibility reduced the exposed concepts by 0.7 points on average.
Interpret cautiously: A 0.2-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 69.8–69.9
- Category average
- 69.9
Metric registry
The 20 local metrics behind this analysis
The registry shows each public metric’s raw value, period, geography, source, and its actual role in the compiled analysis.
View all local metrics
| Metric | Raw value | Period | Geography | Role in analysis | Source |
|---|---|---|---|---|---|
| Resident population estimate on July 1, 2025 | 305,561people | July 1, 2025 population estimate and April 1, 2020 estimate base | Durham, North Carolina | Context only | [4] |
| Population change from April 2020 estimate base to July 2025 | 7.6percent | July 1, 2025 population estimate and April 1, 2020 estimate base | Durham, North Carolina | Used in scoring | [4] |
| Durham County housing units and 2025 building permits | housing units 2025: 164,222; building permits 2025: 4,772; county population growth 2020 base to 2025 percent: 6.9mixed count and percent | 2025 population, housing-unit and building-permit estimates; 2023 business counts | Durham County, North Carolina | Used in scoring | [5] |
| Durham County employer establishment and employment base | employer establishments: 8,282; employment: 229,497; annual payroll thousand dollars: 21,385,998mixed business metrics | 2025 population, housing-unit and building-permit estimates; 2023 business counts | Durham County, North Carolina | Used in scoring | [5] [6] |
| Average residential construction year and oldest-neighborhood pattern | selected county average year built: 1,975; oldest neighborhoods average period: 1920s-1930syear and period | 2016 | Durham County, North Carolina census block groups | Used in scoring | [7] |
| Management and technical occupational concentration and wages in the Durham-Chapel Hill MSA | all occupations mean hourly durham: 38.32; all occupations mean hourly us: 33.54; management share durham percent: 8.2; management share us percent: 7.2; management mean hourly durham: 77.11; management mean hourly us: 69.84; computer math share durham percent: 7.3; computer math share us percent: 3.4; additional values omittedpercent and usd per hour | May 2025 | Durham-Chapel Hill, NC MSA | Used in scoring | [8] |
| Frontline and trade occupational wages compared with national averages | food service durham: 16.81; food service us: 17.86; building grounds durham: 18.99; building grounds us: 19.66; office admin durham: 24.32; office admin us: 24.79; construction extraction durham: 27.5; construction extraction us: 31.42; additional values omittedusd per hour | May 2025 | Durham-Chapel Hill, NC MSA | Context only | [8] |
| Healthcare practitioners and technical employment concentration | employment: 36,330; durham share percent: 10.6; us share percent: 6.3; location quotient: 1.67; mean hourly wage durham: 48.17; mean hourly wage us: 52.26mixed employment and wage metrics | May 2025 | Durham-Chapel Hill, NC MSA | Used in scoring | [8] |
| Duke employment and Durham campus building footprint | campus employees: 9,323; schools of medicine and nursing employees: 11,804; duke hospital employees: 11,776; duke regional hospital employees: 2,270; durham campus buildings total: 245; durham academic research buildings: 118; durham medical center buildings: 66employees and buildings | Employees July 2025; student and facilities data current for 2025 materials | Duke University and Durham campus facilities | Used in scoring | [9] |
| Research Triangle Park company and employment scale with Durham County land share | employees more than: 55,000; companies more than: 385; park acres: 7,000; approximate land share in durham county percent: 75mixed count area and percent | Current park profile accessed August 2026 | Research Triangle Park, multi-county; approximately three-fourths of park land in Durham County | Used in scoring | [10] [11] |
| Triangle small-bay industrial tightness relative to broad flex availability | broad flex vacancy range percent: 7.5, 8.5; small bay industrial vacancy approx percent: 5; outdoor storage for products and service vehicles: premium and zoning constrainedpercent and market condition | Calendar year 2025 and 2026 outlook | Raleigh-Durham greater Triangle flex/industrial market | Used in scoring | [12] |
| Flex/life-science vacancy varies sharply across Durham submarkets | rtp i40 percent: 15.57; central durham percent: 18.59; north durham percent: 47.31; south durham percent: 1.17; triangle overall percent: 14.82vacancy percent | First quarter 2026 | RTP/I-40, Central Durham, North Durham, South Durham, and Triangle overall | Used in scoring | [13] |
| Retail vacancy differs materially across Durham submarkets | central durham percent: 18.42; north durham percent: 3.61; south durham percent: 3.65; rtp i40 percent: 2.43; triangle overall percent: 4.94vacancy percent | First quarter 2026 | RTP/I-40, Central Durham, North Durham, South Durham, and Triangle overall | Conditional relationship | [13] |
| Downtown office, retail, and merchant conditions at year-end 2025 | office occupancy percent: 84; available office space sublet share approx: one-third; downtown retail vacancy percent: 7; greater raleigh durham retail vacancy percent: 2.7; retail restaurant bar service businesses: 293; retail space delivered 2025 sqft: 60,793mixed percent count and sqft | Calendar year 2025 with 2026 report context | Downtown Durham and adjacent downtown area | Conditional relationship | [14] |
| Downtown residential development and occupancy | completed developments 2025: 11; units delivered 2025 narrative value: 1,152; units completed 2025 table value: 1,154; estimated people living in and adjacent to downtown more than: 12,000; residential occupancy percent: 85mixed count and percent | Calendar year 2025 with 2026 report context | Downtown Durham and adjacent downtown area | Used in scoring | [14] |
| Exterior sign permitting and property-specific review gates | sign permit generally required for: erection, movement, enlargement, alteration; review sources: UDO Article 11, approved common signage plan if applicable, Certificate of Appropriateness if applicable; common signage plan required for: signs within a unified development complexrequirements | Current requirements accessed August 2026 | City of Durham, subject to zoning, development-plan, and property-specific applicability | Conditional relationship | [15] [16] |
| Selected development-review and infrastructure-review fees effective July 1, 2026 | traffic impact analysis less than 1000 peak hour trips usd: 9,828; traffic impact analysis 1000 or more peak hour trips usd: 13,104; commercial construction drawing review no water sewer usd: 3,120; commercial construction drawing review with water or sewer base usd: 4,000; additional apartment building usd: 500; technology surcharge percent: 4; pump station construction drawing review usd: 21,000; summary utility development statement usd: 500usd and percent | Effective July 1, 2026 | City of Durham development-services processes; fees apply only to relevant application/project types | Context only | [17] |
| Active city construction creates named corridor road and lane closures | american tobacco phase 2 expected through: spring 2027; late july 2026 affected streets: Mangum Street, Roxboro Street, Pettigrew Street, Dillard Street, Blackwell Street, Bill Bell Way; other current city projects: East End Waterline Replacement Phase 1A, Main & Broad Street Waterline Replacement, NC-54 Waterline Replacementprojects and streets | Current projects and closures accessed August 2026 | Named City of Durham construction corridors; not citywide | Conditional relationship | [18] [19] |
| Current downtown public parking supply and city-garage pricing exceptions | public parking spots more than: 6,000; city parking garages: 5; city surface lots: 3; first hour free garages: Church Street, Morgan-Rigsbee; first hour free weekday hours: 8:00-19:00; rate after first hour usd per hour: 2.25; city garages free evenings and weekends except special events: yes; special event parking usd: 7spaces facilities hours and usd | Parking rules current as of July 1, 2026 | Downtown Durham public parking | Context only | [20] [21] |
| Formal vendor onboarding is required for City of Durham and Duke procurement | city requirements: Vendor Self Service application, completed signed W-9 for active vendor status; duke requirements: PaymentWorks registration for new vendors/payees, approved vendor number required for Buy@Duke carts, SAP requisitions, and most AP Check Requestsprocess requirements | Current vendor-registration process accessed August 2026 | City of Durham procurement and Duke University procurement | Used in scoring | [22] [23] [24] |
How to use the ranking
What the model can and cannot establish
- Scores measure local operating alignment, not expected financial performance or franchise-system quality.
- Citywide evidence may not describe the exact site or territory ultimately offered.
- Conditional effects are shown for diligence but do not change the published score until their applicability is established.
Methodology
How the local-alignment ranking is calculated
Measure the city
Collect reusable local metrics with source, period, geography, and confidence fields.
Profile each operating model
Map each franchise to controlled operating attributes and local sensitivities.
Apply scoreable effects
Score only effects that apply without an unresolved site, territory, customer, or project gate.
Preserve conditional effects
Keep location- or territory-dependent issues visible for diligence without automatically changing the score.
Test rank sensitivity
Remove one factor at a time from every concept and rerank using full-precision scores.
Generate public output
Create the ranking, factor-status ledger, visuals, metric registry, and automated quality report from the same data.
How the common baseline becomes a city-specific score
Every concept starts from the same 70.0 reference point, so differences come only from modeled local interactions. In this city, City Wide reached 72.78 after target-market demand +2.6 pts, referral ecosystem +0.7 pts, and labor and staffing friction -0.6 pts. The current model caps total local movement at ±18.0 points. The score is not a percentage, probability, or estimate of investment quality.
Precision and materiality
Calculations use full-precision values. Published scores and factor contributions display one decimal place, while ranks use full precision. Effects smaller than 0.1 points are identified as below the publication threshold rather than presented as a meaningful zero.
Score tiers
How factor rows are classified
“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page.
Model governance
How this report is calculated and corrected
Calculation controls
- Model designer
- Thomas Jepsen
No concept’s final score is manually raised or lowered after calculation. Before this template is activated, the report is reviewed for source scope, classification, arithmetic, unsupported claims, duplication, and readability.
Model history
- Model 0.9.0-calibration · August 19, 2026Added compiler-derived decision intelligence and observation usage mapping., Changed factor sensitivity and channel counterfactuals to full model reruns., Added data-dependent city content signals while preserving legacy public report fields., and Added model-owned semantic compatibility gates and backward-compatible channel-level evidence attribution.
Corrections policy
Corrected source, geography, or operating-profile evidence triggers a full compiler rerun so every dependent score and visual is recalculated.
Source registry
Evidence represented in this report
Each source identifies its period, scope, and the local metrics it supports. Internal or supplied research is not presented as independently accessible evidence.
- 1I 102(5).docx — supplied multi-city operating research docketInternal or supplied research; not publicly accessible.
- 2Forensic Audit of Structural Constraints and Latent Jurisdictional RisksInternal or supplied research; not publicly accessible.
- 3Franchise data - remake - aug(5).csvInternal or supplied research; not publicly accessible.
- 4QuickFacts: Durham city, North Carolina
Used for: Resident population estimate on July 1, 2025 and Population change from April 2020 estimate base to July 2025
- 5QuickFacts: Durham County, North Carolina
Used for: Durham County housing units and 2025 building permits and Durham County employer establishment and employment base
- 6County Business Patterns: 2023
Used for: Durham County employer establishment and employment base
- 7Average Year of Residential Construction (Census Blockgroups)
Used for: Average residential construction year and oldest-neighborhood pattern
- 8Occupational Employment and Wages in Durham-Chapel Hill, NC — May 2025
Used for: Management and technical occupational concentration and wages in the Durham-Chapel Hill MSA, Frontline and trade occupational wages compared with national averages, and Healthcare practitioners and technical employment concentration
- 9Duke Facts
Used for: Duke employment and Durham campus building footprint
- 10Our Community
Used for: Research Triangle Park company and employment scale with Durham County land share
- 11Economic Development: References & Tools
Used for: Research Triangle Park company and employment scale with Durham County land share
- 122025 Triangle Market Overview and 2026 Forecast: FLEX
Used for: Triangle small-bay industrial tightness relative to broad flex availability
- 131Q 2026 Triangle Market Report
Used for: Flex/life-science vacancy varies sharply across Durham submarkets and Retail vacancy differs materially across Durham submarkets
- 14State of Downtown Durham 2026
Used for: Downtown office, retail, and merchant conditions at year-end 2025 and Downtown residential development and occupancy
- 15Sign Permits and Common Signage Plans
Used for: Exterior sign permitting and property-specific review gates
- 16Durham Unified Development Ordinance
Used for: Exterior sign permitting and property-specific review gates
- 17Development Services Fees and Payment Menu
Used for: Selected development-review and infrastructure-review fees effective July 1, 2026
- 18Closures
Used for: Active city construction creates named corridor road and lane closures
- 19American Tobacco District Waterline Replacement — Project Update July 24, 2026
Used for: Active city construction creates named corridor road and lane closures
- 20Parking Downtown
Used for: Current downtown public parking supply and city-garage pricing exceptions
- 21City Connect: First Hour Free Parking Coming in July for 2 City Garages
Used for: Current downtown public parking supply and city-garage pricing exceptions
- 22Vendor Information
Used for: Formal vendor onboarding is required for City of Durham and Duke procurement
- 23Purchasing - Doing Business with the City
Used for: Formal vendor onboarding is required for City of Durham and Duke procurement
- 24Procurement Forms & Resources
Used for: Formal vendor onboarding is required for City of Durham and Duke procurement
Before contacting a franchisor
Complete the next layer of due diligence
- Confirm the exact protected territory and neighboring units.
- Review the current Franchise Disclosure Document.
- Validate local staffing, licensing, insurance, and service-base assumptions.
- Obtain location, vehicle, buildout, or working-capital estimates.
- Speak with current and former franchisees.
- Build a candidate-specific financial scenario.
Apply the analysis to your situation
Review how these market findings apply to your budget, role, and proposed territory.
The city score does not include your experience, capital structure, time commitment, financing, or exact territory.















































































