69.7 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Charlotte, North Carolina
We compared 14 franchise concepts for Charlotte, North Carolina. Local business demand was a leading positive mechanism. Territory and submarket uncertainty was a leading operating constraint.
What “best” means in this ranking“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page. It does not estimate earnings or determine which franchise is best for a particular candidate.
14Concepts evaluated
24Sources used
15Primary sources
31Local metrics
Evaluation set
Why these concepts were evaluated
This is not a ranking of every franchise that may be offered in the city.
14Concepts assessed
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
1.5 points average among 12 affected concepts
0.6 points average reduction among 14 affected concepts
Tested rank range spans 9 positions
Executive conclusion
What the ranking means for Charlotte, North Carolina
City Wide, ActionCOACH, and HomeSmiles produced the highest modeled local-alignment scores in the evaluated set. Local business demand was the strongest positive scored mechanism among 10 exposed concepts, adding 1.1 points on average. Territory and submarket uncertainty was the broadest operating constraint, reducing exposed concepts by 0.6 points on average. City Wide was especially relationship-sensitive: removing local business demand moved it from #1 to #7 in the full model rerun. 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.
Rankings use full-precision scores.Displayed values use one decimal place. Identical displayed scores can therefore have different ranks, and close results should be treated as effectively similar.
| Rank | Franchise | Alignment and tier | Largest advantage | Largest constraint | Evidence confidence |
|---|---|---|---|---|---|
| 1 | City WideFacility managementInvestment: $229,729–$410,730 | 72.9Tier 2 · Favorable modeled alignment | +2.3 ptsTarget-market demand | -0.2 ptsLabor and staffing friction | Moderate evidence confidence |
| 2 | ActionCOACHBusiness coachingInvestment: $71,668–$303,513 | 72.3Tier 2 · Favorable modeled alignment | +1.9 ptsTarget-market demand | -0.2 ptsTerritory quality | Moderate evidence confidence |
| 3 | HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800 | 72.1Tier 2 · Favorable modeled alignment | +2.3 ptsTarget-market demand | -0.7 ptsTerritory quality | Moderate evidence confidence |
| 4 | ZOOM DRAINDrain and sewer serviceInvestment: $266,250–$570,500 | 71.5Tier 3 · Mixed modeled alignment | +1.3 ptsTarget-market demand | -0.8 ptsTerritory quality | Moderate evidence confidence |
| 5 | Aire ServHVAC installation, repair, and maintenanceInvestment: $113,308–$271,708 | 71.2Tier 3 · Mixed modeled alignment | +1.4 ptsTarget-market demand | -0.6 ptsTerritory quality | Moderate evidence confidence |
| 6 | Pillar To Post Home InspectorsHome inspectionInvestment: $102,690–$134,290 | 71.2Tier 3 · Mixed modeled alignment | +1.6 ptsTarget-market demand | -0.6 ptsTerritory quality | Moderate evidence confidence |
| 7 | Mr. RooterPlumbingInvestment: $152,900–$298,675 | 71.0Tier 3 · Mixed modeled alignment | +1.3 ptsTarget-market demand | -0.7 ptsTerritory quality | Moderate evidence confidence |
| 8 | Jan-Pro InternationalCommercial cleaningInvestment: $130,000–$421,500 | 71.0Tier 3 · Mixed modeled alignment | +2.0 ptsTarget-market demand | -0.8 ptsLabor and staffing friction | Moderate evidence confidence |
| 9 | FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285 | 70.8Tier 3 · Mixed modeled alignment | +2.1 ptsTarget-market demand | -0.8 ptsReal estate and site feasibility | Moderate evidence confidence |
| 10 | Mister Sparky ElectricElectrical | 70.6Tier 3 · Mixed modeled alignment | +0.9 ptsTarget-market demand | -0.7 ptsTerritory quality | Moderate evidence confidence |
Conditions that changed the analysis
What mattered most in Charlotte, North Carolina
Large city and county business base supports local commercial-account demand
This relationship affected 10 concepts and added 1.1 points on average among those exposed. Local evidence: Employment reported for Mecklenburg County employer establishments in 2023: 732,418 employees. [7]
Office, retail, and industrial conditions vary materially by asset quality, size, and submarket
This relationship affected 14 concepts and reduced 0.6 points on average among those exposed. Local evidence: Industrial vacancy, asking rent, leasing, and flex-rent direction in Q2 2026: vacancy percent: 7.1; availability percent: 9.4; average asking rent usd per sqft year: 9.13; year over year asking rent change percent: 6.5; flex rent direction: quarter over quarter growth; quarterly leasing activity sqft minimum: 4,000,000 mixed industrial market metrics. [13] [12]
Charlotte's population grew 10.3 percent from the April 2020 estimate base to July 2025, reaching 964,784 residents
Citywide growth supports a larger household and business base, but it does not make every trade area or site equally accessible or affordable. Current office evidence ranges from 23.0 percent overall vacancy to less than 4 percent prime available vacancy, retail availability is sparse in several infill and southern submarkets, and Uptown imposes time- and vehicle-class-specific curb restrictions. Growth should therefore be translated through the proposed territory, property format, parking and loading needs, and route pattern rather than treated as uniform walk-in or site demand. [4] [12] [14] [17]
Evidence behind the city mechanisms
Large city and county business base supports local commercial-account demand1 modeled effect
Local business demandTarget-market demand
Rapid population growth and recent housing construction expand the household-service base1 modeled effect
Household service demandTarget-market demand
Low retail vacancy and sparse infill availability constrain fixed-location site selection1 modeled effect
Fixed-location occupancy cost pressureReal estate and site feasibility
Uptown rush-hour commercial-vehicle restrictions constrain selected delivery and service windows1 modeled effect
Route and curb productivity pressureTransportation, routing, and parking
Office, retail, and industrial conditions vary materially by asset quality, size, and submarket1 modeled effect
Territory and submarket uncertaintyTerritory quality
Exterior changes in Charlotte Local Historic Districts require property-specific design approval1 modeled effect
Signage and prototype adaptation burdenRegulatory and operating friction
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.
#1Tier 2 · Favorable modeled alignment72.9
City Wide
Initial investment: $229,729–$410,730
Increase +2.3 pts Target-market demandReduction -0.2 pts Labor and staffing friction
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 |
| +2.3 pts |
| Referral ecosystem |
| +0.9 pts |
| Labor and staffing friction |
| -0.2 pts |
| Territory quality |
| -0.1 pts |
| Net local movement | +2.89 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| 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 | -0.2 |
| 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 | +0.9 |
| Territory quality | -0.1 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.89 |
| Published local-market alignment | 72.9 |
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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.3 pts
- Tested rank range
- #1–#1
#2Tier 2 · Favorable modeled alignment72.3
ActionCOACH
Initial investment: $71,668–$303,513
Increase +1.9 pts Target-market demandReduction -0.2 pts Territory quality
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 |
| +1.9 pts |
| Referral ecosystem |
| +0.8 pts |
| Territory quality |
| -0.2 pts |
| Labor and staffing friction |
| -0.1 pts |
| Real estate and site feasibility |
| -0.1 pts |
| Net local movement | +2.30 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.9 |
| 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 | -0.1 |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.8 |
| Territory quality | -0.2 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.30 |
| Published local-market alignment | 72.3 |
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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.9 pts
- Tested rank range
- #2–#3
#3Tier 2 · Favorable modeled alignment72.1
HomeSmiles
Initial investment: $148,110–$201,800
Increase +2.3 pts Target-market demandReduction -0.7 pts Territory quality
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 | +2.3 pts | |
| Referral ecosystem |
| +0.7 pts |
| Territory quality |
| -0.7 pts |
| Labor and staffing friction |
| -0.3 pts |
| Net local movement | +2.10 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| 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 | -0.3 |
| 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 | +0.7 |
| Territory quality | -0.7 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.10 |
| Published local-market alignment | 72.1 |
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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.3 pts
- Tested rank range
- #2–#5
#4Tier 3 · Mixed modeled alignment71.5
ZOOM DRAIN
Initial investment: $266,250–$570,500
Increase +1.3 pts Target-market demandReduction -0.8 pts Territory quality
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 | |
| Territory quality |
| -0.8 pts |
| Referral ecosystem |
| +0.5 pts |
| Property replacement-cycle demand |
| +0.4 pts |
| Net local movement | +1.45 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.3 |
| Property replacement-cycle demand | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| 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 | +0.5 |
| Territory quality | -0.8 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.45 |
| 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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.3 pts
- Tested rank range
- #3–#7
#5Tier 3 · Mixed modeled alignment71.2
Aire Serv
Initial investment: $113,308–$271,708
Increase +1.4 pts Target-market demandReduction -0.6 pts Territory quality
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 | +1.4 pts | |
| Territory quality |
| -0.6 pts |
| Property replacement-cycle demand |
| +0.6 pts |
| Labor and staffing friction |
| -0.1 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +1.20 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
1 image
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Item 19 — Financial Performance Representation
1 image
Public company data assessed
1 sourceFull calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.4 |
| Property replacement-cycle demand | +0.6 |
| 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 | Not included in the score |
| Territory quality | -0.6 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.20 |
| 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
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.4 pts
- Tested rank range
- #4–#8
#6Tier 3 · Mixed modeled alignment71.2
Pillar To Post Home Inspectors
Initial investment: $102,690–$134,290
Increase +1.6 pts Target-market demandReduction -0.6 pts Territory quality
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 | +1.6 pts | |
| Territory quality |
| -0.6 pts |
| Property replacement-cycle demand |
| +0.2 pts |
| Net local movement | +1.17 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 19 — Financial Performance Representation
1 image
Public company data assessed
2 sourcesFull calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.6 |
| Property replacement-cycle demand | +0.2 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| 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 | -0.6 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.17 |
| 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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.6 pts
- Tested rank range
- #5–#10
#7Tier 3 · Mixed modeled alignment71.0
Mr. Rooter
Initial investment: $152,900–$298,675
Increase +1.3 pts Target-market demandReduction -0.7 pts Territory quality
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 | +1.3 pts | |
| Territory quality |
| -0.7 pts |
| Property replacement-cycle demand |
| +0.4 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +0.98 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.3 |
| Property replacement-cycle demand | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| 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 | -0.7 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.98 |
| Published local-market alignment | 71.0 |
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
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.3 pts
- Tested rank range
- #6–#9
#8Tier 3 · Mixed modeled alignment71.0
Jan-Pro International
Initial investment: $130,000–$421,500
Increase +2.0 pts Target-market demandReduction -0.8 pts Labor and staffing friction
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 |
| +2.0 pts |
| Labor and staffing friction |
| -0.8 pts |
| Territory quality |
| -0.5 pts |
| Referral ecosystem |
| +0.2 pts |
| Net local movement | +0.96 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
1 image
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.0 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.8 |
| 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 | -0.5 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.96 |
| Published local-market alignment | 71.0 |
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
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.0 pts
- Tested rank range
- #4–#12
#9Tier 3 · Mixed modeled alignment70.8
FASTSIGNS
Initial investment: $231,226–$386,285
Increase +2.1 pts Target-market demandReduction -0.8 pts Real estate and site feasibility
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 |
| +2.1 pts |
| Real estate and site feasibility |
| -0.8 pts |
| Territory quality |
| -0.8 pts |
| Referral ecosystem |
| +0.4 pts |
| Labor and staffing friction |
| -0.1 pts |
| Regulatory and operating friction | Signage and prototype adaptation burden EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +0.81 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Item 19 — Financial Performance Representation
2 images
Public company data assessed
3 sourcesFull calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| 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 | -0.8 |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.4 |
| Territory quality | -0.8 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.81 |
| Published local-market alignment | 70.8 |
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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.1 pts
- Tested rank range
- #4–#13
#10Tier 3 · Mixed modeled alignment70.6
Mister Sparky Electric
Increase +0.9 pts Target-market demandReduction -0.7 pts Territory quality
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 |
| Territory quality |
| -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 | +0.60 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 mistaken for a score-changing effect.
| 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 | Not applicable to this operating model |
| 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 | -0.7 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.60 |
| 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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.9 pts
- Tested rank range
- #7–#10
#11Tier 3 · Mixed modeled alignment70.2
Tiger Adjusters
Initial investment: $43,050–$159,500
Increase +0.6 pts Target-market demandReduction -0.4 pts Territory quality
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 | +0.6 pts | |
| Territory quality |
| -0.4 pts |
| Labor and staffing friction |
| -0.1 pts |
| Net local movement | +0.17 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 19 — Financial Performance Representation
1 image
Public company data assessed
1 sourceFull calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.6 |
| 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 | Not included in the score |
| Territory quality | -0.4 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.17 |
| Published local-market alignment | 70.2 |
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
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.6 pts
- Tested rank range
- #11–#11
#12Tier 3 · Mixed modeled alignment69.7
PuroClean
Initial investment: $54,575–$262,145
Increase +0.6 pts Referral ecosystemReduction -0.7 pts Territory quality
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 |
|---|---|---|
| Territory quality |
| -0.7 pts |
| Referral ecosystem |
| +0.6 pts |
| Labor and staffing friction |
| -0.4 pts |
| Property replacement-cycle demand |
| +0.1 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | -0.30 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.1 |
| 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 | -0.7 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.70 |
| Published local-market alignment | 69.7 |
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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Territory quality -0.7 pts
- Tested rank range
- #6–#12
#13Tier 3 · Mixed modeled alignment69.6
Rainbow International Restoration
Initial investment: $185,336–$351,900
Increase +0.6 pts Referral ecosystemReduction -0.7 pts Territory quality
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 |
|---|---|---|
| Territory quality |
| -0.7 pts |
| Referral ecosystem |
| +0.6 pts |
| Labor and staffing friction |
| -0.4 pts |
| Property replacement-cycle demand |
| +0.1 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | -0.37 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.1 |
| 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 | -0.7 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.63 |
| Published local-market alignment | 69.6 |
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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Territory quality -0.7 pts
- Tested rank range
- #9–#13
#14Tier 3 · Mixed modeled alignment67.0
Workout Anytime
Initial investment: $1,060,850–$1,840,550
Increase +0.7 pts Target-market demandReduction -1.8 pts Real estate and site feasibility
Rank sensitivity: Stable
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 |
| -1.8 pts |
| Territory quality |
| -1.4 pts |
| Target-market demand |
| +0.7 pts |
| Labor and staffing friction |
| -0.6 pts |
| Regulatory and operating friction | Signage and prototype adaptation burden EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | -3.04 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| 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 | -0.6 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | -1.8 |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -1.4 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 66.96 |
| Published local-market alignment | 67.0 |
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
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Real estate and site feasibility -1.8 pts
- Tested rank range
- #14–#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 mistaken for a score-changing effect.
| 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 | -0.2 |
| 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 | +0.9 |
| Territory quality | -0.1 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.89 |
| Published local-market alignment | 72.9 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Starting pointThe operating-model baseline shown in the first ledger row.
InteractionsAny interaction or gate is included in the relevant contribution or calibration row.
Confidence treatmentEvidence confidence is disclosed separately unless the model definition explicitly applies a calibration adjustment.
RoundingFull-precision contributions are summed before the final displayed score is rounded to one decimal place; whole-number results are shown without a trailing decimal.
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.
Observed model effectPositive local support
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 12 of 14 concepts. When we neutralized the factor and recalculated the table, 9 concepts changed position. Jan-Pro International moved from #8 to #12, the largest movement among concepts directly affected by this factor.
Concepts adjusted12 of 14
Average among affected+1.5 pts
Average across all concepts+1.3 pts
Concepts changing rank9
What we observed
- Population Change From The April 2020 Estimate Base To July 202510.3 percent
- Estimated Households In 2024381,274 households
- Estimated Housing Units In 2024415,975 housing units
Concepts helped most
HomeSmilesProperty maintenance services
+2.3 pts
City WideFacility management
+2.3 pts
FASTSIGNSSigns and graphics
+2.1 pts
Jan-Pro InternationalCommercial cleaning
+2.0 pts
ActionCOACHBusiness coaching
+1.9 pts
Observed model effectMixed or model dependent
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, 5 concepts changed position. Aire Serv moved from #5 to #8, the largest movement among concepts directly affected by this factor.
Concepts adjusted7 of 14
Average among affected+0.3 pts
Average across all concepts+0.2 pts
Concepts changing rank5
What we observed
- Estimated Housing Units In 2024415,975 housing units
- Housing Units Built From 2000 Through 200991,648 housing units
- Housing Units Built From 1990 Through 199964,713 housing units
Concepts helped most
Aire ServHVAC installation, repair, and maintenance
+0.6 pts
ZOOM DRAINDrain and sewer service
+0.4 pts
Mr. RooterPlumbing
+0.4 pts
Mister Sparky ElectricElectrical
+0.3 pts
Pillar To Post Home InspectorsHome inspection
+0.2 pts
Observed model effectMixed or model dependent
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 10 of 14 concepts. When we neutralized the factor and recalculated the table, 5 concepts changed position. Jan-Pro International moved from #8 to #4, the largest movement among concepts directly affected by this factor.
Concepts adjusted10 of 14
Average among affected-0.3 pts
Average across all concepts-0.2 pts
Concepts changing rank5
What we observed
- Preliminary Total Nonfarm Employment In June 20261,413,000 jobs
- Preliminary Unemployment Rate In May 20263.6 percent
- Mean Hourly Wages For Selected Occupational Groups In May 2025all occupations: 33.13; management: 73.14; business financial operations: 47.9; food preparation serving: 17.29; building grounds cleaning maintenance: 18.48; office administrative support: 24.17; construction extraction: 27.54; installation maintenance repair: 29.9; additional values omitted usd per hour
Concepts challenged most
Jan-Pro InternationalCommercial cleaning
-0.8 pts
Workout AnytimeFitness
-0.6 pts
Rainbow International RestorationRestoration
-0.4 pts
PuroCleanRestoration
-0.4 pts
HomeSmilesProperty maintenance services
-0.3 pts
Observed model effectMixed or model dependent
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 3 of 14 concepts. When we neutralized the factor and recalculated the table, 6 concepts changed position. FASTSIGNS moved from #9 to #4, the largest movement among concepts directly affected by this factor.
Concepts adjusted3 of 14
Average among affected-0.9 pts
Average across all concepts-0.2 pts
Concepts changing rank6
What we observed
- Retail Availability Remained Sparse In Early 2026south charlotte vacant space sqft across three submarkets: 624,424; submarkets with more than 500000 sqft vacant: Cabarrus County square feet and submarket count
- Charlotte Retail Vacancy At The End Of The Second Quarter Of 20252.8 percent
Concepts challenged most
Workout AnytimeFitness
-1.8 pts
FASTSIGNSSigns and graphics
-0.8 pts
ActionCOACHBusiness coaching
-0.1 pts
Observed model effectMixed or model dependent
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, 6 concepts changed position. ZOOM DRAIN moved from #4 to #7, the largest movement among concepts directly affected by this factor.
Concepts adjusted8 of 14
Average among affected+0.6 pts
Average across all concepts+0.3 pts
Concepts changing rank6
What we observed
- Employer Establishments In Mecklenburg County In 202336,472 establishments
- Business And Financial Operations Employment And Location Quotient In May 2025employment: 116,030; location quotient: 1.26; mean hourly wage: 47.9 employment lq and usd per hour
- City Procurement Portal Centralizes Active And Planned Contracting Opportunitiesdepartments and functions named: CATS, General Services, CDOT, Planning, Charlotte Water, Storm Water Services, Aviation; supplier registration required for purchase orders and payment: yes; commodity codes required: yes; supplier processing expectation hours: 48 procurement process features
Concepts helped most
City WideFacility management
+0.9 pts
ActionCOACHBusiness coaching
+0.8 pts
HomeSmilesProperty maintenance services
+0.7 pts
PuroCleanRestoration
+0.6 pts
Rainbow International RestorationRestoration
+0.6 pts
Observed model effectMaterial local friction
Territory quality
We measured whether the territory structure could support the required customer density, service radius, and operating model.
Why concepts react differently
We applied a measurable adjustment to 14 of 14 concepts. When we neutralized the factor and recalculated the table, 4 concepts changed position. HomeSmiles moved from #3 to #2, the largest movement among concepts directly affected by this factor.
Concepts adjusted14 of 14
Average among affected-0.6 pts
Average across all concepts-0.6 pts
Concepts changing rank4
What we observed
- Retail Availability Remained Sparse In Early 2026south charlotte vacant space sqft across three submarkets: 624,424; submarkets with more than 500000 sqft vacant: Cabarrus County square feet and submarket count
- Office Market Vacancy, Prime Availability, Leasing, And Asking Rents In Q2 2026overall vacancy percent: 23; prime available vacancy percent maximum: 4; average asking rent usd per sqft year: 36.95; prime asking rent usd per sqft year: 59.14; quarterly leasing activity sqft approximate: 1,400,000 mixed office market metrics
- Industrial Vacancy, Asking Rent, Leasing, And Flex Rent Direction In Q2 2026vacancy percent: 7.1; availability percent: 9.4; average asking rent usd per sqft year: 9.13; year over year asking rent change percent: 6.5; flex rent direction: quarter over quarter growth; quarterly leasing activity sqft minimum: 4,000,000 mixed industrial market metrics
Concepts challenged most
Workout AnytimeFitness
-1.4 pts
FASTSIGNSSigns and graphics
-0.8 pts
ZOOM DRAINDrain and sewer service
-0.8 pts
Mr. RooterPlumbing
-0.7 pts
PuroCleanRestoration
-0.7 pts
Measured but not differentiating in this concept set
- Competitive environmentNo material score adjustment
- Transportation, routing, and parkingNo material score adjustment
- Sales and customer acquisitionNo 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.
#1 City WideStable · tested #1–#1
#2 ActionCOACHStable · tested #2–#3
#3 HomeSmilesModerately sensitive · tested #2–#5
#4 ZOOM DRAINHighly sensitive · tested #3–#7
#5 Aire ServHighly sensitive · tested #4–#8
#6 Pillar To Post Home InspectorsHighly sensitive · tested #5–#10
#7 Mr. RooterModerately sensitive · tested #6–#9
#8 Jan-Pro InternationalHighly sensitive · tested #4–#12
#9 FASTSIGNSHighly sensitive · tested #4–#13
#10 Mister Sparky ElectricModerately sensitive · tested #7–#10
#11 Tiger AdjustersStable · tested #11–#11
#12 PuroCleanHighly sensitive · tested #6–#12
#13 Rainbow International RestorationHighly sensitive · tested #9–#13
#14 Workout AnytimeStable · tested #14–#14
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.
Primary source records by factorTarget-market demand: [4] [5] [6] [7] [8] [9] [22]Property replacement-cycle demand: [6] [10] [11] [1]Competitive environment: [4] [7] [12] [13] [14] [3]Labor and staffing friction: [8] [9] [24] [2] [1]Transportation, routing, and parking: [4] [17] [18] [3]Real estate and site feasibility: [14] [15] [12] [13] [16] [21] [20]Sales and customer acquisition: [4] [7] [9] [22] [23] [14]Referral ecosystem: [9] [4] [7] [22] [23]Territory quality: [12] [13] [14] [16] [17] [19] [3]Regulatory and operating friction: [19] [20] [21] [17] [2] [3]
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 | Territory quality |
|---|---|---|---|---|---|---|
| #1 City Wide | +2.3 pts | — | -0.2 pts | — | +0.9 pts | -0.1 pts |
| #2 ActionCOACH | +1.9 pts | — | -0.1 pts | -0.1 pts | +0.8 pts | -0.2 pts |
| #3 HomeSmiles | +2.3 pts | — | -0.3 pts | — | +0.7 pts | -0.7 pts |
| #4 ZOOM DRAIN | +1.3 pts | +0.4 pts | — | — | +0.5 pts | -0.8 pts |
| #5 Aire Serv | +1.4 pts | +0.6 pts | -0.1 pts | — | — | -0.6 pts |
| #6 Pillar To Post Home Inspectors | +1.6 pts | +0.2 pts | — | — | — | -0.6 pts |
| #7 Mr. Rooter | +1.3 pts | +0.4 pts | — | — | — | -0.7 pts |
| #8 Jan-Pro International | +2.0 pts | — | -0.8 pts | — | +0.2 pts | -0.5 pts |
| #9 FASTSIGNS | +2.1 pts | — | -0.1 pts | -0.8 pts | +0.4 pts | -0.8 pts |
| #10 Mister Sparky Electric | +0.9 pts | +0.3 pts | — | — | — | -0.7 pts |
| #11 Tiger Adjusters | +0.6 pts | — | -0.1 pts | — | — | -0.4 pts |
| #12 PuroClean | — | +0.1 pts | -0.4 pts | — | +0.6 pts | -0.7 pts |
| #13 Rainbow International Restoration | — | +0.1 pts | -0.4 pts | — | +0.6 pts | -0.7 pts |
| #14 Workout Anytime | +0.7 pts | — | -0.6 pts | -1.8 pts | — | -1.4 pts |
Interpretation
How to interpret the result
City Wide, ActionCOACH, HomeSmiles led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to territory quality. 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 ZOOM DRAIN, Aire Serv, Pillar To Post Home Inspectors; their ranks move more widely when individual factors are neutralized.
Category comparisons
Best franchise categories we assessed in Charlotte, North Carolina
Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.
Limited two-concept comparison
69.7Best Restoration franchise opportunities we assessed in Charlotte, North Carolina
2 Restoration concepts qualified for comparison, with scores ranging from 69.6 to 69.7. PuroClean ranked highest at 69.7. Referral ecosystem added 0.6 points on average among the affected concepts. Territory quality reduced the exposed concepts by 0.7 points on average.
Interpret cautiously: A 0.1-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 69.6–69.7
- Category average
- 69.7
PuroClean69.7
Rainbow International Restoration69.6
Metric registry
The 31 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 | 964,784people | July 1, 2025 population estimate; 2020-2024 household, housing, income, commuting, and business measures | Charlotte, North Carolina | Supports research conclusion | [4] |
| Population change from the April 2020 estimate base to July 2025 | 10.3percent | July 1, 2025 population estimate; 2020-2024 household, housing, income, commuting, and business measures | Charlotte, North Carolina | Used in scoring | [4] |
| Estimated households in 2024 | 381,274households | 2024 American Community Survey 1-year estimates and 2020 Decennial Census | Charlotte, North Carolina | Used in scoring | [5] |
| Estimated housing units in 2024 | 415,975housing units | 2024 American Community Survey 1-year estimates and 2020 Decennial Census | Charlotte, North Carolina | Used in scoring | [5] [6] |
| Housing units built in 2020 or later | 32,627housing units | 2024 American Community Survey 1-year estimates | Charlotte, North Carolina | Used in scoring | [6] |
| Housing units built from 2010 through 2019 | 74,182housing units | 2024 American Community Survey 1-year estimates | Charlotte, North Carolina | Context only | [6] |
| Housing units built from 2000 through 2009 | 91,648housing units | 2024 American Community Survey 1-year estimates | Charlotte, North Carolina | Used in scoring | [6] |
| Housing units built from 1990 through 1999 | 64,713housing units | 2024 American Community Survey 1-year estimates | Charlotte, North Carolina | Used in scoring | [6] |
| Share of housing units built from 1990 through 2009 | 37.59percent of housing units | 2024 American Community Survey 1-year estimates | Charlotte, North Carolina | Used in scoring | [6] |
| All employer firms in the city, reference year 2022 | 21,738employer firms | July 1, 2025 population estimate; 2020-2024 household, housing, income, commuting, and business measures | Charlotte, North Carolina | Used in scoring | [4] |
| Employer establishments in Mecklenburg County in 2023 | 36,472establishments | 2023 County Business Patterns and 2025 population estimates | Mecklenburg County, North Carolina | Used in scoring | [7] |
| Employment reported for Mecklenburg County employer establishments in 2023 | 732,418employees | 2023 County Business Patterns and 2025 population estimates | Mecklenburg County, North Carolina | Used in scoring | [7] |
| Preliminary total nonfarm employment in June 2026 | 1,413,000jobs | Labor force through May 2026 and payroll employment through June 2026, preliminary | Charlotte-Concord-Gastonia, NC-SC | Used in scoring | [8] |
| Preliminary unemployment rate in May 2026 | 3.6percent | Labor force through May 2026 and payroll employment through June 2026, preliminary | Charlotte-Concord-Gastonia, NC-SC | Used in scoring | [8] |
| Twelve-month change in mining, logging, and construction employment in June 2026 | 9percent | Labor force through May 2026 and payroll employment through June 2026, preliminary | Charlotte-Concord-Gastonia, NC-SC | Used in scoring | [8] |
| Mean hourly wages for selected occupational groups in May 2025 | all occupations: 33.13; management: 73.14; business financial operations: 47.9; food preparation serving: 17.29; building grounds cleaning maintenance: 18.48; office administrative support: 24.17; construction extraction: 27.54; installation maintenance repair: 29.9; additional values omittedusd per hour | May 2025 | Charlotte-Concord-Gastonia, NC-SC | Used in scoring | [9] |
| Business and financial operations employment and location quotient in May 2025 | employment: 116,030; location quotient: 1.26; mean hourly wage: 47.9employment lq and usd per hour | May 2025 | Charlotte-Concord-Gastonia, NC-SC | Used in scoring | [9] |
| Mecklenburg soil series shrink-swell potential and subsoil texture | shrink swell potential: moderate; landscape: Piedmont uplands; subsoil texture: clay to clay loamcategorical soil properties | Official soil-series description revised November 2025 | Mecklenburg series; not a citywide parcel share | Conditional relationship | [10] |
| State-documented effects of expansive clay on buildings and utilities | wetting can expand soil and lift foundations, drying can shrink soil and contribute to uneven settlement, potential impacts include foundation cracks, uneven floors, and broken utility pipes or linesdocumented mechanisms | Current state geologic-hazard guidance accessed August 2026 | North Carolina properties underlain by expansive clay | Conditional relationship | [11] |
| Retail availability remained sparse in early 2026 | south charlotte vacant space sqft across three submarkets: 624,424; submarkets with more than 500000 sqft vacant: Cabarrus Countysquare feet and submarket count | First quarter 2026 | Charlotte retail market | Used in scoring | [14] |
| Charlotte retail vacancy at the end of the second quarter of 2025 | 2.8percent | Second quarter 2025 | Charlotte retail market | Used in scoring | [15] |
| Office market vacancy, prime availability, leasing, and asking rents in Q2 2026 | overall vacancy percent: 23; prime available vacancy percent maximum: 4; average asking rent usd per sqft year: 36.95; prime asking rent usd per sqft year: 59.14; quarterly leasing activity sqft approximate: 1,400,000mixed office market metrics | Second quarter 2026 | Charlotte office market | Used in scoring | [12] |
| Industrial vacancy, asking rent, leasing, and flex-rent direction in Q2 2026 | vacancy percent: 7.1; availability percent: 9.4; average asking rent usd per sqft year: 9.13; year over year asking rent change percent: 6.5; flex rent direction: quarter over quarter growth; quarterly leasing activity sqft minimum: 4,000,000mixed industrial market metrics | Second quarter 2026 | Charlotte industrial market | Used in scoring | [13] |
| Older 10,000- to 50,000-square-foot industrial spaces experienced continued churn and net relinquishment in early 2026 | continued churn and net relinquishmentdirectional market finding | Second quarter 2026 | Charlotte industrial properties built before 2000, 10,000 to 50,000 square feet | Used in scoring | [16] |
| Rush-hour stopping, standing, and parking restriction for large and medium commercial vehicles in Uptown | prohibited area: area bounded by I-277 and I-77; weekday morning window: 07:00-09:00; weekday evening window: 16:00-18:00; citation usd: 100rule parameters | Current parking rules accessed August 2026 | Uptown Charlotte | Conditional relationship | [17] |
| I-77 ramp improvements at five interchanges | interchanges: Sunset Road, Harris Boulevard, N.C. 73, Griffith Street, Williamson Road; normal lane closure window: 23:00-05:00; sunset road continuous work window days: 60; scheduled completion: spring 2027project parameters | Construction can begin June 2026 and is scheduled for completion in spring 2027 | I-77 in north Mecklenburg and south Iredell counties | Conditional relationship | [18] |
| Number of Charlotte Local Historic Districts | 8districts | Current local historic-district framework accessed August 2026 | Charlotte, North Carolina | Conditional relationship | [19] |
| Certificate of Appropriateness requirement for exterior work in local historic districts | covered work: exterior alterations, restoration, new construction, moving, demolition, some landscaping and site work; full commission meeting frequency: monthly; full commission submission lead: first Wednesday for the following month's meeting; continued case rescheduling: approximately two months after continuationpermit process parameters | Current Certificate of Appropriateness process accessed August 2026 | Resources and properties within Charlotte Local Historic Districts | Conditional relationship | [20] [19] |
| Charlotte Water FY2027 system-development fees for selected commercial meter sizes | one inch domestic: water system development fee usd: 3,632, sewer system development fee usd: 12,664, combined system development fee usd: 16,296, water connection fee usd: 7,068; one and one half inch: water system development fee usd: 7,264, sewer system development fee usd: 25,328, combined system development fee usd: 32,592, water connection fee: at cost; two inch: water system development fee usd: 11,622, sewer system development fee usd: 40,525, combined system development fee usd: 52,147, water connection fee: at costusd by meter size | Rates and fees effective July 1, 2026 through June 30, 2027 | Charlotte Water service area | Context only | [21] |
| City procurement portal centralizes active and planned contracting opportunities | departments and functions named: CATS, General Services, CDOT, Planning, Charlotte Water, Storm Water Services, Aviation; supplier registration required for purchase orders and payment: yes; commodity codes required: yes; supplier processing expectation hours: 48procurement process features | Active and upcoming solicitations accessed August 2026 | City of Charlotte | Used in scoring | [22] [23] |
| Bank of America U.S. minimum hourly wage effective October 2025 | 25usd per hour | Effective early October 2025 | Bank of America full-time and part-time hourly positions in the United States | Context only | [24] [2] |
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 whose applicability is established at the report’s current geographic and operating scope.
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 72.89 after target-market demand +2.3 pts, referral ecosystem +0.9 pts, labor and staffing friction -0.2 pts, and territory quality -0.1 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
Tier 1 · Strongest modeled alignment80.0–100.0
Tier 2 · Favorable modeled alignment72.0–<80.0
Tier 3 · Mixed modeled alignment64.0–<72.0
Tier 4 · Higher-friction modeled alignment0.0–<64.0
How factor rows are classified
Positive local adjustmentNegative local adjustmentMeasured; no meaningful local adjustmentEffect below the publication thresholdNot applicable to this operating modelDepends on the specific site, territory, or operating conditionNot included in the score
What “best” means here
“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 claims or metrics it supports. Internal or supplied research is clearly distinguished from publicly accessible evidence.
- 1United States Structural Inefficiency and CRE Arbitrage AuditInternal or supplied research; not publicly accessible.
- 2Jurisdictional Friction and Structural Capital Constraints: A Forensic Audit of Municipal Operating EnvironmentsInternal or supplied research; not publicly accessible.
Used for: Bank of America U.S. minimum hourly wage effective October 2025
- 3Franchise data - 2 - riverside through charlotte(10).csvInternal or supplied research; not publicly accessible.
- 4QuickFacts: Charlotte city, North Carolina
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, and All employer firms in the city, reference year 2022
- 5Charlotte city, North Carolina - Census Bureau Profile
Used for: Estimated households in 2024 and Estimated housing units in 2024
- 6B25034: Year Structure Built, 2024 ACS 1-Year Estimates
Used for: Estimated housing units in 2024, Housing units built in 2020 or later, Housing units built from 2010 through 2019, Housing units built from 2000 through 2009, and Housing units built from 1990 through 1999
- 7QuickFacts: Mecklenburg County, North Carolina
Used for: Employer establishments in Mecklenburg County in 2023 and Employment reported for Mecklenburg County employer establishments in 2023
- 8Charlotte-Concord-Gastonia, NC-SC Economy at a Glance
Used for: Preliminary total nonfarm employment in June 2026, Preliminary unemployment rate in May 2026, and Twelve-month change in mining, logging, and construction employment in June 2026
- 9Occupational Employment and Wages in Charlotte-Concord-Gastonia, NC-SC — May 2025
Used for: Mean hourly wages for selected occupational groups in May 2025 and Business and financial operations employment and location quotient in May 2025
- 10Official Series Description - Mecklenburg Series
Used for: Mecklenburg soil series shrink-swell potential and subsoil texture
- 11Geologic Hazards and Landslides: Expansive (shrink/swell) Clays
Used for: State-documented effects of expansive clay on buildings and utilities
- 12Charlotte Office Figures Q2 2026
Used for: Office market vacancy, prime availability, leasing, and asking rents in Q2 2026
- 13Charlotte Industrial Figures Q2 2026
Used for: Industrial vacancy, asking rent, leasing, and flex-rent direction in Q2 2026
- 142026 Q1 Retail Charlotte Report
Used for: Retail availability remained sparse in early 2026
- 152025 Q2 Charlotte Retail Market Report
Used for: Charlotte retail vacancy at the end of the second quarter of 2025
- 16Charlotte Industrial Market Report, 2Q 2026
Used for: Older 10,000- to 50,000-square-foot industrial spaces experienced continued churn and net relinquishment in early 2026
- 17Parking
Used for: Rush-hour stopping, standing, and parking restriction for large and medium commercial vehicles in Uptown
- 18Interstate 77 Ramps to Receive Improvements
Used for: I-77 ramp improvements at five interchanges
- 19Historic District
Used for: Number of Charlotte Local Historic Districts and Certificate of Appropriateness requirement for exterior work in local historic districts
- 20Certificate of Appropriateness
Used for: Certificate of Appropriateness requirement for exterior work in local historic districts
- 21Rates & Fees Charlotte Water
Used for: Charlotte Water FY2027 system-development fees for selected commercial meter sizes
- 22Contract Opportunities
Used for: City procurement portal centralizes active and planned contracting opportunities
- 23Supplier Registration
Used for: City procurement portal centralizes active and planned contracting opportunities
- 24BofA Raises U.S. Minimum Hourly Wage to $25, Increasing Starting Salary to More Than $50K
Used for: Bank of America U.S. minimum hourly wage effective October 2025
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.
Disclaimer and broker disclosure: This analysis is informational and does not constitute financial, legal, accounting, or investment advice. Market-alignment scores do not predict financial performance or business success. Offers are made only through the delivery of a Franchise Disclosure Document. We may receive referral compensation from participating franchisors; compensation is not an input to the scoring model.