Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in San Francisco, California

We compared 14 franchise concepts for San Francisco, California. Local business demand was a leading positive mechanism. Route and curb productivity pressure 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.
Analysis by Thomas Jepsen, MSc Model: 0.9.0
14Concepts evaluated
21Sources used
17Primary sources
32Local 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

Highest category average (limited comparison)Restoration

66.5 average across 2 concepts

Largest positive factorTarget-market demand

1.1 points average among 12 affected concepts

Largest negative factorLabor and staffing friction

1.6 points average reduction among 14 affected concepts

Most assumption-sensitive rankTiger Adjusters

Tested rank range spans 6 positions

Executive conclusion

What the ranking means for San Francisco, California

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 0.9 points on average. One important asymmetry was that the same local condition supported replacement and repair demand while also creating legacy-system service complexity. Jan-Pro International was especially relationship-sensitive: removing frontline labor pressure moved it from #7 to #3 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.
RankFranchiseAlignment and tierLargest advantageLargest constraintEvidence confidence
1City WideFacility managementInvestment: $229,729–$410,730
71.9Tier 3 · Mixed modeled alignment
+1.8 ptsTarget-market demand -0.5 ptsLabor and staffing friction Moderate evidence confidence
2ActionCOACHBusiness coachingInvestment: $71,668–$303,513
71.8Tier 3 · Mixed modeled alignment
+1.5 ptsTarget-market demand -0.2 ptsTerritory quality Moderate evidence confidence
3HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800
69.7Tier 3 · Mixed modeled alignment
+1.6 ptsTarget-market demand -1.4 ptsLabor and staffing friction Moderate evidence confidence
4FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285
69.6Tier 3 · Mixed modeled alignment
+1.7 ptsTarget-market demand -0.7 ptsTerritory quality Moderate evidence confidence
5Pillar To Post Home InspectorsHome inspectionInvestment: $102,690–$134,290
69.3Tier 3 · Mixed modeled alignment
+0.9 ptsTarget-market demand -0.9 ptsTransportation, routing, and parking Moderate evidence confidence
6Tiger AdjustersPublic insurance adjustingInvestment: $43,050–$159,500
69.0Tier 3 · Mixed modeled alignment
+0.4 ptsTarget-market demand -0.5 ptsLabor and staffing friction Moderate evidence confidence
7Jan-Pro InternationalCommercial cleaningInvestment: $130,000–$421,500
68.2Tier 3 · Mixed modeled alignment
+1.6 ptsTarget-market demand -2.5 ptsLabor and staffing friction Moderate evidence confidence
8Mister Sparky ElectricElectrical
67.1Tier 3 · Mixed modeled alignment
+1.2 ptsProperty replacement-cycle demand -2.6 ptsLabor and staffing friction Moderate evidence confidence
9Aire ServHVAC installation, repair, and maintenanceInvestment: $113,308–$271,708
67.1Tier 3 · Mixed modeled alignment
+1.1 ptsProperty replacement-cycle demand -2.8 ptsLabor and staffing friction Moderate evidence confidence
10ZOOM DRAINDrain and sewer serviceInvestment: $266,250–$570,500
66.8Tier 3 · Mixed modeled alignment
+0.9 ptsTarget-market demand -2.3 ptsLabor and staffing friction Moderate evidence confidence

View all 14 score calculations

Conditions that changed the analysis

What mattered most in San Francisco, California

01

Large active business-location base supports local commercial account demand

This relationship affected 10 concepts and added 0.9 points on average among those exposed. Local evidence: Estimated households in the 2020-2024 period: 363,970 households. [1] [6]

02

Large pre-1940 and multifamily building base supports repair demand while increasing system and access complexity

The same local condition created complementary effects: replacement and repair demand supported exposed concepts while legacy-system service complexity constrained others. [3]

03

Limited curb capacity, posted loading rules, and permit conditions constrain high-stop and delivery operations

This relationship affected 14 concepts and reduced 0.9 points on average among those exposed. Local evidence: Commercial loading zones impose vehicle, active-loading, payment, and time-limit conditions: typical time limit minutes: 30; commercial plate generally required: yes; meter payment generally required: yes; active loading required: yes; six wheel zones restricted to six wheel trucks: yes rule conditions. [14] [15]

Evidence behind the city mechanisms

Large active business-location base supports local commercial account demand1 modeled effect
Local business demandTarget-market demand
Large pre-1940 and multifamily building base supports repair demand while increasing system and access complexity3 local facts · 2 modeled effects · 2 sources
  • Housing units built in 1939 or earlier: units: 187,977; total units: 414,553; share: 45.345 housing units and percent [4]
  • Housing units in buildings with two or more units: units: 328,441; share: 77.653 housing units and percent [3]
  • Housing units in buildings with 20 or more units: units: 165,805; share: 39 housing units and percent [3]
Replacement and repair demandProperty replacement-cycle demand
Legacy-system service complexityLabor and staffing friction
Local wage floor and metro frontline wage premiums raise staffing cost exposure1 modeled effect
Frontline labor pressureLabor and staffing friction
Construction and repair occupations carry substantial metro wage premiums1 modeled effect
Skilled-trade labor competitionLabor and staffing friction
Limited curb capacity, posted loading rules, and permit conditions constrain high-stop and delivery operations1 modeled effect
Route and curb productivity pressureTransportation, routing, and parking
Covered buildings have recurring energy reporting and audit obligations that also support retrofit-service demand3 local facts · 2 modeled effects · 2 sources
  • Existing Buildings Ordinance coverage thresholds and recurring requirements: nonresidential minimum conditioned sqft: 10,000; multifamily minimum conditioned sqft: 50,000; benchmarking frequency: annual; benchmarking due month day: May 1; commercial energy audit frequency years: 5 thresholds and frequency [16]
  • Renewable-electricity requirement for large commercial buildings: minimum gross sqft: 50,000; renewable electricity share required: 100; transition deadline: 2030-12-31; documentation due: 2031-04-01 threshold and deadlines [16]
  • Housing units in buildings with two or more units: units: 328,441; share: 77.653 housing units and percent [3]
Facility compliance burdenRegulatory and operating friction
Energy-retrofit service demandProperty replacement-cycle demand

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 3 · Mixed modeled alignment71.9

City Wide

Facility management · B2B facility management and vendor coordination

Initial investment: $229,729–$410,730

Increase +1.8 pts Target-market demandReduction -0.5 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 factorModeled driversImpact
Target-market demand
  • Local business demand Evidence+1.8 pts
    Primary modeled driverRelationship test: #1 → #2
+1.8 pts
Referral ecosystem
  • Professional and institutional relationship density Evidence+0.8 pts
+0.8 pts
Labor and staffing friction
  • Frontline labor pressure Evidence-0.5 pts
-0.5 pts
Territory quality
  • Territory and submarket uncertainty Evidence-0.1 pts
-0.1 pts
Transportation, routing, and parking
  • Route and curb productivity pressure Evidence-0.1 pts
-0.1 pts
Net local movement+1.88 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 baseline70.0
Target-market demand+1.8
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.5
Transportation, routing, and parking-0.1
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.8
Territory quality-0.1
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.88
Published local-market alignment71.9

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
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +1.8 pts
Tested rank range
#1–#2
#2Tier 3 · Mixed modeled alignment71.8

ActionCOACH

Business coaching · home-based B2B advisory

Initial investment: $71,668–$303,513

Increase +1.5 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 factorModeled driversImpact
Target-market demand
  • Local business demand Evidence+1.5 pts
    Primary modeled driverRelationship test: #2 → #1
+1.5 pts
Referral ecosystem
  • Professional and institutional relationship density Evidence+0.6 pts
+0.6 pts
Territory quality
  • Territory and submarket uncertainty Evidence-0.2 pts
-0.2 pts
Transportation, routing, and parking
  • Route and curb productivity pressure Evidence-0.1 pts
-0.1 pts
Labor and staffing friction
  • Frontline labor pressure Evidence-0.1 pts
-0.1 pts
Net local movement+1.76 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 baseline70.0
Target-market demand+1.5
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.1
Transportation, routing, and parking-0.1
Real estate and site feasibilityEffect below the publication threshold
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.6
Territory quality-0.2
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.76
Published local-market alignment71.8

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
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +1.5 pts
Tested rank range
#1–#2
#3Tier 3 · Mixed modeled alignment69.7

HomeSmiles

Property maintenance services · Home-based mobile property-maintenance franchise using equipped service vans and technician crews to deliver bundled…

Initial investment: $148,110–$201,800

Increase +1.6 pts Target-market demandReduction -1.4 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

Why it ranks here

Score-changing local factors only. Evidence links open the underlying city finding.

Local factorModeled driversImpact
Target-market demand
  • Local business demand Evidence+1.0 pts
    Primary modeled driverRelationship test: #3 → #5
  • Household service demand Evidence+0.6 pts
+1.6 pts
Labor and staffing friction
  • Skilled-trade labor competition Evidence-0.7 pts
  • Frontline labor pressure Evidence-0.7 pts
-1.4 pts
Territory quality
  • Territory and submarket uncertainty Evidence-0.6 pts
-0.6 pts
Referral ecosystem
  • Professional and institutional relationship density Evidence+0.6 pts
+0.6 pts
Transportation, routing, and parking
  • Route and curb productivity pressure Evidence-0.5 pts
-0.5 pts
Net local movement-0.32 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 baseline70.0
Target-market demand+1.6
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-1.4
Transportation, routing, and parking-0.5
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.6
Territory quality-0.6
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.68
Published local-market alignment69.7

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
Strong
Franchise-profile completeness
Adequate
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +1.6 pts
Tested rank range
#3–#5
#4Tier 3 · Mixed modeled alignment69.6

FASTSIGNS

Signs and graphics · B2B production and installation center

Initial investment: $231,226–$386,285

Increase +1.7 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 factorModeled driversImpact
Target-market demand
  • Local business demand Evidence+1.7 pts
    Primary modeled driverRelationship test: #4 → #6
+1.7 pts
Territory quality
  • Territory and submarket uncertainty Evidence-0.7 pts
-0.7 pts
Transportation, routing, and parking
  • Route and curb productivity pressure Evidence-0.6 pts
-0.6 pts
Labor and staffing friction
  • Skilled-trade labor competition Evidence-0.6 pts
-0.6 pts
Real estate and site feasibility
  • Fixed-location occupancy cost pressure Evidence-0.5 pts
-0.5 pts
Referral ecosystem
  • Professional and institutional relationship density Evidence+0.3 pts
+0.3 pts
Net local movement-0.42 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
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 baseline70.0
Target-market demand+1.7
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.6
Transportation, routing, and parking-0.6
Real estate and site feasibility-0.5
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.3
Territory quality-0.7
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.58
Published local-market alignment69.6

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
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +1.7 pts
Tested rank range
#3–#6
#5Tier 3 · Mixed modeled alignment69.3

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Initial investment: $102,690–$134,290

Increase +0.9 pts Target-market demandReduction -0.9 pts Transportation, routing, and parking

Rank sensitivity: Highly sensitive

Why it ranks here

Score-changing local factors only. Evidence links open the underlying city finding.

Local factorModeled driversImpact
Target-market demand+0.9 pts
Transportation, routing, and parking
  • Route and curb productivity pressure Evidence-0.9 pts
    Primary modeled driverRelationship test: #5 → #3
-0.9 pts
Territory quality
  • Territory and submarket uncertainty Evidence-0.5 pts
-0.5 pts
Labor and staffing friction
  • Skilled-trade labor competition Evidence-0.3 pts
  • Legacy-system service complexity Evidence-0.1 pts
-0.4 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.3 pts
+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

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 sources
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 baseline70.0
Target-market demand+0.9
Property replacement-cycle demand+0.3
Competitive environmentNot included in the score
Labor and staffing friction-0.4
Transportation, routing, and parking-0.9
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory quality-0.5
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.34
Published local-market alignment69.3

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
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +0.9 pts
Tested rank range
#3–#7
#6Tier 3 · Mixed modeled alignment69.0

Tiger Adjusters

Public insurance adjusting · Home-based, referral-led public insurance adjusting business combining local property inspections with…

Initial investment: $43,050–$159,500

Increase +0.4 pts Target-market demandReduction -0.5 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 factorModeled driversImpact
Labor and staffing friction
  • Skilled-trade labor competition Evidence-0.4 pts
  • Frontline labor pressure Evidence-0.2 pts
-0.5 pts
Transportation, routing, and parking
  • Route and curb productivity pressure Evidence-0.5 pts
    Primary modeled driverRelationship test: rank stays #6
-0.5 pts
Target-market demand+0.4 pts
Territory quality
  • Territory and submarket uncertainty Evidence-0.4 pts
-0.4 pts
Net local movement-0.95 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 source
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 baseline70.0
Target-market demand+0.4
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.5
Transportation, routing, and parking-0.5
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory quality-0.4
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.05
Published local-market alignment69.0

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
Strong
Franchise-profile completeness
Adequate
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -0.5 pts
Tested rank range
#3–#9
#7Tier 3 · Mixed modeled alignment68.2

Jan-Pro International

Commercial cleaning · recurring commercial route service

Initial investment: $130,000–$421,500

Increase +1.6 pts Target-market demandReduction -2.5 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

Why it ranks here

Score-changing local factors only. Evidence links open the underlying city finding.

Local factorModeled driversImpact
Labor and staffing friction
  • Frontline labor pressure Evidence-2.5 pts
    Primary modeled driverRelationship test: #7 → #3
-2.5 pts
Target-market demand+1.6 pts
Transportation, routing, and parking
  • Route and curb productivity pressure Evidence-0.6 pts
-0.6 pts
Territory quality
  • Territory and submarket uncertainty Evidence-0.4 pts
-0.4 pts
Referral ecosystem
  • Professional and institutional relationship density Evidence+0.2 pts
+0.2 pts
Net local movement-1.76 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 baseline70.0
Target-market demand+1.6
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-2.5
Transportation, routing, and parking-0.6
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.2
Territory quality-0.4
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score68.24
Published local-market alignment68.2

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
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -2.5 pts
Tested rank range
#4–#7
#8Tier 3 · Mixed modeled alignment67.1

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +1.2 pts Property replacement-cycle demandReduction -2.6 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

Why it ranks here

Score-changing local factors only. Evidence links open the underlying city finding.

Local factorModeled driversImpact
Labor and staffing friction
  • Skilled-trade labor competition Evidence-1.8 pts
    Primary modeled driverRelationship test: #8 → #7
  • Legacy-system service complexity Evidence-0.8 pts
-2.6 pts
Transportation, routing, and parking
  • Route and curb productivity pressure Evidence-1.3 pts
-1.3 pts
Property replacement-cycle demand
  • Energy-retrofit service demand Evidence+0.6 pts
  • Replacement and repair demand Evidence+0.5 pts
+1.2 pts
Territory quality
  • Territory and submarket uncertainty Evidence-0.6 pts
-0.6 pts
Target-market demand
  • Household service demand Evidence+0.5 pts
+0.5 pts
Net local movement-2.86 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 baseline70.0
Target-market demand+0.5
Property replacement-cycle demand+1.2
Competitive environmentNot included in the score
Labor and staffing friction-2.6
Transportation, routing, and parking-1.3
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory quality-0.6
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score67.14
Published local-market alignment67.1

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
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -2.6 pts
Tested rank range
#8–#11
#9Tier 3 · Mixed modeled alignment67.1

Aire Serv

HVAC installation, repair, and maintenance · Manager-led mobile HVAC installation, repair, maintenance, and emergency service business using skilled technicians…

Initial investment: $113,308–$271,708

Increase +1.1 pts Property replacement-cycle demandReduction -2.8 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 factorModeled driversImpact
Labor and staffing friction
  • Skilled-trade labor competition Evidence-1.8 pts
    Primary modeled driverRelationship test: #9 → #8
  • Legacy-system service complexity Evidence-0.7 pts
  • Frontline labor pressure Evidence-0.2 pts
-2.8 pts
Transportation, routing, and parking
  • Route and curb productivity pressure Evidence-1.6 pts
-1.6 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.6 pts
  • Energy-retrofit service demand Evidence+0.5 pts
+1.1 pts
Target-market demand+0.9 pts
Territory quality
  • Territory and submarket uncertainty Evidence-0.6 pts
-0.6 pts
Net local movement-2.94 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 source
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 baseline70.0
Target-market demand+0.9
Property replacement-cycle demand+1.1
Competitive environmentNot included in the score
Labor and staffing friction-2.8
Transportation, routing, and parking-1.6
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory quality-0.6
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score67.06
Published local-market alignment67.1

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
Strong
Franchise-profile completeness
Adequate
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -2.8 pts
Tested rank range
#6–#12
#10Tier 3 · Mixed modeled alignment66.8

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Initial investment: $266,250–$570,500

Increase +0.9 pts Target-market demandReduction -2.3 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 factorModeled driversImpact
Labor and staffing friction
  • Skilled-trade labor competition Evidence-1.7 pts
  • Legacy-system service complexity Evidence-0.7 pts
-2.3 pts
Transportation, routing, and parking
  • Route and curb productivity pressure Evidence-2.0 pts
    Primary modeled driverRelationship test: #10 → #8
-2.0 pts
Target-market demand+0.8 pts
Territory quality
  • Territory and submarket uncertainty Evidence-0.7 pts
-0.7 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.6 pts
+0.6 pts
Referral ecosystem
  • Professional and institutional relationship density Evidence+0.4 pts
+0.4 pts
Net local movement-3.17 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 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 baseline70.0
Target-market demand+0.8
Property replacement-cycle demand+0.6
Competitive environmentNot included in the score
Labor and staffing friction-2.3
Transportation, routing, and parking-2.0
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.4
Territory quality-0.7
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score66.83
Published local-market alignment66.8

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
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -2.3 pts
Tested rank range
#8–#13
#11Tier 3 · Mixed modeled alignment66.5

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Initial investment: $152,900–$298,675

Increase +0.8 pts Target-market demandReduction -2.4 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 factorModeled driversImpact
Labor and staffing friction
  • Skilled-trade labor competition Evidence-1.7 pts
  • Legacy-system service complexity Evidence-0.7 pts
-2.4 pts
Transportation, routing, and parking
  • Route and curb productivity pressure Evidence-1.8 pts
    Primary modeled driverRelationship test: rank stays #11
-1.8 pts
Target-market demand+0.8 pts
Territory quality
  • Territory and submarket uncertainty Evidence-0.7 pts
-0.7 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.6 pts
+0.6 pts
Net local movement-3.45 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 baseline70.0
Target-market demand+0.8
Property replacement-cycle demand+0.6
Competitive environmentNot included in the score
Labor and staffing friction-2.4
Transportation, routing, and parking-1.8
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory quality-0.7
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score66.55
Published local-market alignment66.5

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
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -2.4 pts
Tested rank range
#10–#14
#12Tier 3 · Mixed modeled alignment66.5

Workout Anytime

Fitness · fixed-location membership fitness

Initial investment: $1,060,850–$1,840,550

Increase +0.4 pts Target-market demandReduction -1.4 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 factorModeled driversImpact
Labor and staffing friction
  • Frontline labor pressure Evidence-1.4 pts
    Primary modeled driverRelationship test: #12 → #8
-1.4 pts
Territory quality
  • Territory and submarket uncertainty Evidence-1.3 pts
-1.3 pts
Real estate and site feasibility
  • Fixed-location occupancy cost pressure Evidence-1.1 pts
-1.1 pts
Target-market demand
  • Household service demand Evidence+0.4 pts
+0.4 pts
Transportation, routing, and parking
  • Route and curb productivity pressure Evidence-0.2 pts
-0.2 pts
Net local movement-3.46 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 baseline70.0
Target-market demand+0.4
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-1.4
Transportation, routing, and parking-0.2
Real estate and site feasibility-1.1
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory quality-1.3
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score66.54
Published local-market alignment66.5

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
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -1.4 pts
Tested rank range
#8–#14
#13Tier 3 · Mixed modeled alignment66.5

Rainbow International Restoration

Restoration · emergency property restoration

Initial investment: $185,336–$351,900

Increase +0.5 pts Referral ecosystemReduction -2.4 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 factorModeled driversImpact
Labor and staffing friction
  • Frontline labor pressure Evidence-1.4 pts
  • Skilled-trade labor competition Evidence-0.8 pts
  • Legacy-system service complexity Evidence-0.3 pts
-2.4 pts
Transportation, routing, and parking
  • Route and curb productivity pressure Evidence-1.4 pts
    Primary modeled driverRelationship test: rank stays #13
-1.4 pts
Territory quality
  • Territory and submarket uncertainty Evidence-0.6 pts
-0.6 pts
Referral ecosystem
  • Professional and institutional relationship density Evidence+0.5 pts
+0.5 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.5 pts
+0.5 pts
Net local movement-3.50 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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+0.5
Competitive environmentNot included in the score
Labor and staffing friction-2.4
Transportation, routing, and parking-1.4
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.5
Territory quality-0.6
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score66.50
Published local-market alignment66.5

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
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -2.4 pts
Tested rank range
#9–#13
#14Tier 3 · Mixed modeled alignment66.4

PuroClean

Restoration · emergency property restoration

Initial investment: $54,575–$262,145

Increase +0.5 pts Referral ecosystemReduction -2.3 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 factorModeled driversImpact
Labor and staffing friction
  • Frontline labor pressure Evidence-1.2 pts
  • Skilled-trade labor competition Evidence-0.9 pts
  • Legacy-system service complexity Evidence-0.3 pts
-2.3 pts
Transportation, routing, and parking
  • Route and curb productivity pressure Evidence-1.6 pts
    Primary modeled driverRelationship test: #14 → #12
-1.6 pts
Territory quality
  • Territory and submarket uncertainty Evidence-0.6 pts
-0.6 pts
Referral ecosystem
  • Professional and institutional relationship density Evidence+0.5 pts
+0.5 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.5 pts
+0.5 pts
Net local movement-3.60 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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+0.5
Competitive environmentNot included in the score
Labor and staffing friction-2.3
Transportation, routing, and parking-1.6
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.5
Territory quality-0.6
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score66.40
Published local-market alignment66.4

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
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -2.3 pts
Tested rank range
#10–#14

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 baseline70.0
Target-market demand+1.8
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.5
Transportation, routing, and parking-0.1
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.8
Territory quality-0.1
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.88
Published local-market alignment71.9

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, 11 concepts changed position. Tiger Adjusters moved from #6 to #3, the largest movement among concepts directly affected by this factor.

Concepts adjusted12 of 14
Average among affected+1.1 pts
Average across all concepts+0.9 pts
Concepts changing rank11

What we observed

  • Population Change From July 2024 To July 20250.625 percent
  • Estimated Households In The 2020 2024 Period363,970 households
  • Net Housing Unit Additions Completed In 20252,669 housing units

Concepts helped most

City WideFacility management
+1.8 pts
FASTSIGNSSigns and graphics
+1.7 pts
HomeSmilesProperty maintenance services
+1.6 pts
Jan-Pro InternationalCommercial cleaning
+1.6 pts
ActionCOACHBusiness coaching
+1.5 pts
Measured but not differentiating in this concept set
  • Competitive environmentNo 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–#2
#2 ActionCOACHStable · tested #1–#2
#3 HomeSmilesModerately sensitive · tested #3–#5
#4 FASTSIGNSModerately sensitive · tested #3–#6
#5 Pillar To Post Home InspectorsHighly sensitive · tested #3–#7
#6 Tiger AdjustersHighly sensitive · tested #3–#9
#7 Jan-Pro InternationalModerately sensitive · tested #4–#7
#8 Mister Sparky ElectricModerately sensitive · tested #8–#11
#9 Aire ServHighly sensitive · tested #6–#12
#10 ZOOM DRAINHighly sensitive · tested #8–#13
#11 Mr. RooterHighly sensitive · tested #10–#14
#12 Workout AnytimeHighly sensitive · tested #8–#14
#13 Rainbow International RestorationHighly sensitive · tested #9–#13
#14 PuroCleanHighly sensitive · tested #10–#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.

Factor impact among the highest-rated franchise conceptsDiverging dot plot showing nonzero factor score contributions for the top 14 concepts. Zero-point concept-factor pairs are omitted, and factors with no nonzero contributions are excluded.+3.0+1.50.0-1.5-3.0
Target-market demand
#1 City Wide · Target-market demand · +1.8 pts1#2 ActionCOACH · Target-market demand · +1.5 pts2#3 HomeSmiles · Target-market demand · +1.6 pts3#4 FASTSIGNS · Target-market demand · +1.7 pts4#5 Pillar To Post Home Inspectors · Target-market demand · +0.9 pts5#6 Tiger Adjusters · Target-market demand · +0.4 pts6#7 Jan-Pro International · Target-market demand · +1.6 pts7#8 Mister Sparky Electric · Target-market demand · +0.5 pts8#9 Aire Serv · Target-market demand · +0.9 pts9#10 ZOOM DRAIN · Target-market demand · +0.9 pts10#11 Mr. Rooter · Target-market demand · +0.8 pts11#12 Workout Anytime · Target-market demand · +0.4 pts12
Property replacement-cycle demand
#5 Pillar To Post Home Inspectors · Property replacement-cycle demand · +0.3 pts5#8 Mister Sparky Electric · Property replacement-cycle demand · +1.2 pts8#9 Aire Serv · Property replacement-cycle demand · +1.1 pts9#10 ZOOM DRAIN · Property replacement-cycle demand · +0.6 pts10#11 Mr. Rooter · Property replacement-cycle demand · +0.6 pts11#13 Rainbow International Restoration · Property replacement-cycle demand · +0.5 pts13#14 PuroClean · Property replacement-cycle demand · +0.5 pts14
Labor and staffing friction
#1 City Wide · Labor and staffing friction · -0.5 pts1#2 ActionCOACH · Labor and staffing friction · -0.1 pts2#3 HomeSmiles · Labor and staffing friction · -1.4 pts3#4 FASTSIGNS · Labor and staffing friction · -0.6 pts4#5 Pillar To Post Home Inspectors · Labor and staffing friction · -0.4 pts5#6 Tiger Adjusters · Labor and staffing friction · -0.5 pts6#7 Jan-Pro International · Labor and staffing friction · -2.5 pts7#8 Mister Sparky Electric · Labor and staffing friction · -2.6 pts8#9 Aire Serv · Labor and staffing friction · -2.8 pts9#10 ZOOM DRAIN · Labor and staffing friction · -2.3 pts10#11 Mr. Rooter · Labor and staffing friction · -2.4 pts11#12 Workout Anytime · Labor and staffing friction · -1.4 pts12#13 Rainbow International Restoration · Labor and staffing friction · -2.4 pts13#14 PuroClean · Labor and staffing friction · -2.3 pts14
Transportation, routing, and parking
#1 City Wide · Transportation, routing, and parking · -0.1 pts1#2 ActionCOACH · Transportation, routing, and parking · -0.1 pts2#3 HomeSmiles · Transportation, routing, and parking · -0.5 pts3#4 FASTSIGNS · Transportation, routing, and parking · -0.6 pts4#5 Pillar To Post Home Inspectors · Transportation, routing, and parking · -0.9 pts5#6 Tiger Adjusters · Transportation, routing, and parking · -0.5 pts6#7 Jan-Pro International · Transportation, routing, and parking · -0.6 pts7#8 Mister Sparky Electric · Transportation, routing, and parking · -1.3 pts8#9 Aire Serv · Transportation, routing, and parking · -1.6 pts9#10 ZOOM DRAIN · Transportation, routing, and parking · -2.0 pts10#11 Mr. Rooter · Transportation, routing, and parking · -1.8 pts11#12 Workout Anytime · Transportation, routing, and parking · -0.2 pts12#13 Rainbow International Restoration · Transportation, routing, and parking · -1.4 pts13#14 PuroClean · Transportation, routing, and parking · -1.6 pts14
Real estate and site feasibility
#4 FASTSIGNS · Real estate and site feasibility · -0.5 pts4#12 Workout Anytime · Real estate and site feasibility · -1.1 pts12
Referral ecosystem
#1 City Wide · Referral ecosystem · +0.8 pts1#2 ActionCOACH · Referral ecosystem · +0.6 pts2#3 HomeSmiles · Referral ecosystem · +0.6 pts3#4 FASTSIGNS · Referral ecosystem · +0.3 pts4#7 Jan-Pro International · Referral ecosystem · +0.2 pts7#10 ZOOM DRAIN · Referral ecosystem · +0.4 pts10#13 Rainbow International Restoration · Referral ecosystem · +0.5 pts13#14 PuroClean · Referral ecosystem · +0.5 pts14
Territory quality
#1 City Wide · Territory quality · -0.1 pts1#2 ActionCOACH · Territory quality · -0.2 pts2#3 HomeSmiles · Territory quality · -0.6 pts3#4 FASTSIGNS · Territory quality · -0.7 pts4#5 Pillar To Post Home Inspectors · Territory quality · -0.5 pts5#6 Tiger Adjusters · Territory quality · -0.4 pts6#7 Jan-Pro International · Territory quality · -0.4 pts7#8 Mister Sparky Electric · Territory quality · -0.6 pts8#9 Aire Serv · Territory quality · -0.6 pts9#10 ZOOM DRAIN · Territory quality · -0.7 pts10#11 Mr. Rooter · Territory quality · -0.7 pts11#12 Workout Anytime · Territory quality · -1.3 pts12#13 Rainbow International Restoration · Territory quality · -0.6 pts13#14 PuroClean · Territory quality · -0.6 pts14
Primary source records by factorTarget-market demand: [1] [2] [3] [5] [10] [12]Property replacement-cycle demand: [3] [4] [16] [20]Competitive environment: [5] [1] [19]Labor and staffing friction: [6] [7] [8] [9] [4]Transportation, routing, and parking: [13] [14] [15]Real estate and site feasibility: [10] [11] [12] [17] [18] [19] [20]Sales and customer acquisition: [5] [1] [6]Referral ecosystem: [5] [6] [1] [3]Territory quality: [10] [11] [12] [13] [19] [1]Regulatory and operating friction: [7] [16] [17] [18] [19] [14] [15] [20] [21]
View the chart data as a table
ConceptTarget-market demandProperty replacement-cycle demandLabor and staffing frictionTransportation, routing, and parkingReal estate and site feasibilityReferral ecosystemTerritory quality
#1 City Wide+1.8 pts—-0.5 pts-0.1 pts—+0.8 pts-0.1 pts
#2 ActionCOACH+1.5 pts—-0.1 pts-0.1 pts—+0.6 pts-0.2 pts
#3 HomeSmiles+1.6 pts—-1.4 pts-0.5 pts—+0.6 pts-0.6 pts
#4 FASTSIGNS+1.7 pts—-0.6 pts-0.6 pts-0.5 pts+0.3 pts-0.7 pts
#5 Pillar To Post Home Inspectors+0.9 pts+0.3 pts-0.4 pts-0.9 pts——-0.5 pts
#6 Tiger Adjusters+0.4 pts—-0.5 pts-0.5 pts——-0.4 pts
#7 Jan-Pro International+1.6 pts—-2.5 pts-0.6 pts—+0.2 pts-0.4 pts
#8 Mister Sparky Electric+0.5 pts+1.2 pts-2.6 pts-1.3 pts——-0.6 pts
#9 Aire Serv+0.9 pts+1.1 pts-2.8 pts-1.6 pts——-0.6 pts
#10 ZOOM DRAIN+0.9 pts+0.6 pts-2.3 pts-2.0 pts—+0.4 pts-0.7 pts
#11 Mr. Rooter+0.8 pts+0.6 pts-2.4 pts-1.8 pts——-0.7 pts
#12 Workout Anytime+0.4 pts—-1.4 pts-0.2 pts-1.1 pts—-1.3 pts
#13 Rainbow International Restoration—+0.5 pts-2.4 pts-1.4 pts—+0.5 pts-0.6 pts
#14 PuroClean—+0.5 pts-2.3 pts-1.6 pts—+0.5 pts-0.6 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 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 Pillar To Post Home Inspectors, Tiger Adjusters, Aire Serv; their ranks move more widely when individual factors are neutralized.

Category comparisons

Best franchise categories we assessed in San Francisco, California

Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.

Limited two-concept comparison

Best Restoration franchise opportunities we assessed in San Francisco, California

66.5

2 Restoration concepts qualified for comparison, with scores ranging from 66.4 to 66.5. Rainbow International Restoration ranked highest at 66.5. Referral ecosystem added 0.5 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 2.4 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
66.4–66.5
Category average
66.5
Rainbow International Restoration66.5
PuroClean66.4

Metric registry

The 32 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
MetricRaw valuePeriodGeographyRole in analysisSource
Resident population estimate on July 1, 2025826,079peopleJuly 1, 2025 population estimate; 2020-2024 ACS estimates; 2022 economic data; 2023 business reference year where displayedSan Francisco, CaliforniaContext only [1] [2]
Population change from the April 2020 estimates base to July 2025-5.972percentApril 1, 2020 estimates base through July 1, 2025San Francisco, CaliforniaContext only [2]
Population change from July 2024 to July 20250.625percentApril 1, 2020 estimates base through July 1, 2025San Francisco, CaliforniaUsed in scoring [2]
Estimated households in the 2020-2024 period363,970householdsJuly 1, 2025 population estimate; 2020-2024 ACS estimates; 2022 economic data; 2023 business reference year where displayedSan Francisco, CaliforniaUsed in scoring [1]
Median household income in 2024 dollars140,970usd 2024July 1, 2025 population estimate; 2020-2024 ACS estimates; 2022 economic data; 2023 business reference year where displayedSan Francisco, CaliforniaContext only [1]
Adults age 25 and older with a bachelor’s degree or higher60.3percentJuly 1, 2025 population estimate; 2020-2024 ACS estimates; 2022 economic data; 2023 business reference year where displayedSan Francisco, CaliforniaUsed in scoring [1]
Active registered business locations displayed by DataSF126,000business locations approximateActive registration status as updated July 20, 2026San Francisco, CaliforniaUsed in scoring [5]
Total dwelling units at the end of 2025422,958housing unitsCalendar year 2025 and year-end 2025 housing stockSan Francisco, CaliforniaContext only [3]
Net housing-unit additions completed in 20252,669housing unitsCalendar year 2025 and year-end 2025 housing stockSan Francisco, CaliforniaUsed in scoring [3]
Year-over-year increase in the city housing stock during 20250.6percentCalendar year 2025 and year-end 2025 housing stockSan Francisco, CaliforniaUsed in scoring [3]
Housing units in buildings with two or more unitsunits: 328,441; share: 77.653housing units and percentCalendar year 2025 and year-end 2025 housing stockSan Francisco, CaliforniaSupports modeled relationship [3]
Housing units in buildings with 20 or more unitsunits: 165,805; share: 39housing units and percentCalendar year 2025 and year-end 2025 housing stockSan Francisco, CaliforniaSupports modeled relationship [3]
Housing units built in 1939 or earlierunits: 187,977; total units: 414,553; share: 45.345housing units and percent2022 ACS 1-year estimatesSan Francisco County, CaliforniaUsed in scoring [4]
Mean hourly wages for operating-relevant major occupational groupsall occupations: 48.19; food preparation and serving: 22.91; building and grounds cleaning and maintenance: 25.46; sales and related: 36.06; office and administrative support: 32.96; construction and extraction: 43.66; installation maintenance and repair: 38.95; transportation and material moving: 30.45usd per hourMay 2025San Francisco-Oakland-Fremont, CaliforniaUsed in scoring [6]
Local mean-hourly-wage premiums over corresponding U.S. major occupational groupsall occupations: 43.68; food preparation and serving: 28.28; building and grounds cleaning and maintenance: 29.5; office and administrative support: 32.96; construction and extraction: 38.96; installation maintenance and repair: 27.96; transportation and material moving: 27.09percent above us meanMay 2025San Francisco-Oakland-Fremont, CaliforniaUsed in scoring [6]
Employment shares in selected professional occupational groupsmanagement: 9.4; business and financial operations: 8.7; computer and mathematical: 6.6percent of msa employmentMay 2025San Francisco-Oakland-Fremont, CaliforniaUsed in scoring [6]
San Francisco minimum wage effective July 1, 202619.61usd per hourCurrent ordinance accessed July 2026San Francisco, CaliforniaUsed in scoring [7] [8]
California minimum wage effective January 1, 202616.9usd per hourRate effective January 1, 2026CaliforniaContext only [9]
San Francisco minimum-wage premium over the California statewide ratedifference: 2.71; premium: 16.036usd per hour and percentRate effective July 1, 2026San Francisco compared with CaliforniaUsed in scoring [8] [9]
San Francisco office market conditions in Q2 2026vacancy rate: 29.2; net absorption sqft: 963,980; average asking rate: 72.96; asking rate basis: annual full service grossmixedSecond quarter 2026San Francisco office marketUsed in scoring [10]
San Francisco industrial market conditions in Q1 2026vacancy rate: 8.3; net absorption sqft: 155,156; average asking rate monthly: 1.82; asking rate basis: monthly industrial gross; annualized asking rate: 21.84mixedFirst quarter 2026San Francisco industrial marketContext only [11]
Difference between reported office and industrial vacancy rates20.9percentage pointsSecond quarter 2026San Francisco office Q2 2026 versus industrial Q1 2026Used in scoring [10] [11]
Retail availability and rent performance varied materially by formatlive work play average asking rent: 27.8; rent unit: usd per square foot per year; office adjacent condition: higher availability and slower pricing growth; high street five year rent growth: nearly flatmixedFourth quarter 2024San Francisco high-street, office-adjacent, and live-work-play retail districtsUsed in scoring [12]
SFMTA treats curb space as a limited resource with neighborhood-specific priorities and greater goods-loading need downtown and on commercial corridorsdifferent neighborhoods have different needs: yes; goods loading need higher in downtown and commercial corridors: yes; growing loading needs are policy objective: yespolicy findingsCitywide policy framework; current implementation context reviewed July 2026San Francisco curb networkUsed in scoring [13]
Commercial loading zones impose vehicle, active-loading, payment, and time-limit conditionstypical time limit minutes: 30; commercial plate generally required: yes; meter payment generally required: yes; active loading required: yes; six wheel zones restricted to six wheel trucks: yesrule conditionsCurrent rules accessed July 2026San Francisco commercial loading zonesUsed in scoring [14]
Contractor parking permit conditions and fiscal-year 2026-2027 feeannual fee: 3,197; six month fee: 1,598; commercial plate required: yes; eligible businesses: California-licensed construction or pest-control trades; meter and rpp time limit exemptions: yes; yellow six wheel loading zone use prohibited: yes; principal business address exclusion: within 1,500 feet or three blocks, whichever is greaterusd and conditionsFiscal year 2026-2027 fee and current permit rulesEligible contractor vehicles in San FranciscoUsed in scoring [15]
Existing Buildings Ordinance coverage thresholds and recurring requirementsnonresidential minimum conditioned sqft: 10,000; multifamily minimum conditioned sqft: 50,000; benchmarking frequency: annual; benchmarking due month day: May 1; commercial energy audit frequency years: 5thresholds and frequencyCurrent requirements accessed July 2026Covered San Francisco nonresidential and multifamily buildingsSupports modeled relationship [16]
Renewable-electricity requirement for large commercial buildingsminimum gross sqft: 50,000; renewable electricity share required: 100; transition deadline: 2030-12-31; documentation due: 2031-04-01threshold and deadlinesCurrent requirements accessed July 2026San Francisco commercial buildings at or above the specified sizeSupports modeled relationship [16]
Sign installation or material alteration generally requires a permit and standards vary by zoning and special sign districtpermit required for: install, replace, reconstruct, expand, intensify, relocate; district specific rules: yesrule conditionsGuidance last updated September 3, 2025; accessed July 2026San FranciscoConditional relationship [17]
Covered storefronts must maintain unobstructed visibility into the storeminimum visibility: 75; limited exceptions apply: yes; code section: Planning Code Section 145.1percent and conditionsGuidance last updated July 23, 2026San FranciscoConditional relationship [18]
Formula retail is subject to conditional-use review or prohibition in specified districtsformula retail threshold: 11 or more other retail establishments in operation or approved worldwide; conditional use in some districts: yes; prohibited in some districts: yesrule conditionsCurrent controls accessed July 2026San FranciscoUsed in scoring [19]
Slope-protection review applies only where geographic exposure and project-scope triggers are metgeographic triggers: earthquake-induced landslide zone, average slope greater than 25 percent; project triggers: new structure with more than 1,000 square feet of roof area, addition exceeding 500 square feet, shoring, underpinning, grading exceeding 50 cubic yards, other substantial slope impactconditional thresholdsCurrent project-trigger framework reviewed July 2026San FranciscoContext only [20] [21]

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

01

Measure the city

Collect reusable local metrics with source, period, geography, and confidence fields.

02

Profile each operating model

Map each franchise to controlled operating attributes and local sensitivities.

03

Apply scoreable effects

Score only effects whose applicability is established at the report’s current geographic and operating scope.

04

Preserve conditional effects

Keep location- or territory-dependent issues visible for diligence without automatically changing the score.

05

Test rank sensitivity

Remove one factor at a time from every concept and rerank using full-precision scores.

06

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 71.88 after target-market demand +1.8 pts, referral ecosystem +0.8 pts, labor and staffing friction -0.5 pts, territory quality -0.1 pts, and transportation, routing, and parking -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 0.9.0 · Compiler 0.15.1-franchise-image-filter · Report generated August 19, 2026 (site timezone)

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

  1. 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.

  1. 1
    QuickFacts: San Francisco city, California

    Used for: Resident population estimate on July 1, 2025, Estimated households in the 2020-2024 period, Median household income in 2024 dollars, and Adults age 25 and older with a bachelor’s degree or higher

    Publisher
    U.S. Census Bureau
    Published
    May 14, 2026
    Data period
    July 1, 2025 population estimate; 2020-2024 ACS estimates; 2022 economic data; 2023 business reference year where displayed
    Scope
    San Francisco city, California
    Locator
    Population, households, education, income, sales, commuting, land area, and business sections
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  2. 2
    Annual Estimates of the Resident Population for Incorporated Places in California: April 1, 2020 to July 1, 2025

    Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimates base to July 2025, and Population change from July 2024 to July 2025

    Publisher
    U.S. Census Bureau, Population Division
    Published
    May 1, 2026
    Data period
    April 1, 2020 estimates base through July 1, 2025
    Scope
    Incorporated places in California; San Francisco city row used
    Locator
    San Francisco city row
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  3. 3
    Housing Inventory 2025

    Used for: Total dwelling units at the end of 2025, Net housing-unit additions completed in 2025, Year-over-year increase in the city housing stock during 2025, Housing units in buildings with two or more units, and Housing units in buildings with 20 or more units

    Publisher
    San Francisco Planning Department
    Published
    April 1, 2026
    Data period
    Calendar year 2025 and year-end 2025 housing stock
    Scope
    City and County of San Francisco
    Locator
    Housing production summary and Table 12 housing stock by building size
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  4. 4
    DP04: Selected Housing Characteristics

    Used for: Housing units built in 1939 or earlier

    Publisher
    U.S. Census Bureau, American Community Survey
    Published
    September 14, 2023
    Data period
    2022 ACS 1-year estimates
    Scope
    San Francisco County, California; coextensive with the city for this analysis
    Locator
    Year structure built: total housing units and built 1939 or earlier
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  5. 5
    Active Business Locations

    Used for: Active registered business locations displayed by DataSF

    Publisher
    City and County of San Francisco, DataSF
    Data period
    Active registration status as updated July 20, 2026
    Scope
    Registered business locations in San Francisco
    Locator
    Dataset summary, row count, active-status definition, and update frequency
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  6. 6
    Occupational Employment and Wages in San Francisco-Oakland-Fremont — May 2025

    Used for: Mean hourly wages for operating-relevant major occupational groups, Local mean-hourly-wage premiums over corresponding U.S. major occupational groups, and Employment shares in selected professional occupational groups

    Publisher
    U.S. Bureau of Labor Statistics
    Published
    July 9, 2026
    Data period
    May 2025
    Scope
    San Francisco-Oakland-Fremont metropolitan statistical area
    Locator
    Table A major occupational groups, employment shares, and mean hourly wages
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  7. 7
    San Francisco Labor and Employment Code — Minimum Wage Ordinance

    Used for: San Francisco minimum wage effective July 1, 2026

    Publisher
    City and County of San Francisco
    Data period
    Current ordinance accessed July 2026
    Scope
    Employees performing covered work in San Francisco
    Locator
    Minimum wage payment requirement and annual CPI adjustment provision
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  8. 8
    San Francisco Announces 2026 Minimum Wage Increases

    Used for: San Francisco minimum wage effective July 1, 2026 and San Francisco minimum-wage premium over the California statewide rate

    Publisher
    Bloomberg Tax
    Published
    March 26, 2026
    Data period
    Rate effective July 1, 2026
    Scope
    City and County of San Francisco
    Locator
    First paragraph reporting the July 1, 2026 rate and prior rate
    Source tier
    Tier 3 · credible professional reporting
    Accessed
    July 31, 2026
  9. 9
    Minimum Wage

    Used for: California minimum wage effective January 1, 2026 and San Francisco minimum-wage premium over the California statewide rate

    Publisher
    California Department of Industrial Relations
    Published
    December 1, 2025
    Data period
    Rate effective January 1, 2026
    Scope
    State of California
    Locator
    California minimum wage effective January 1, 2026
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  10. 10
    San Francisco Office Figures Q2 2026

    Used for: San Francisco office market conditions in Q2 2026 and Difference between reported office and industrial vacancy rates

    Publisher
    CBRE
    Published
    July 10, 2026
    Data period
    Second quarter 2026
    Scope
    San Francisco office market
    Locator
    Overall vacancy, net absorption, and average asking rate summary
    Source tier
    Tier 3 · credible industry
    Accessed
    July 31, 2026
  11. 11
    San Francisco Industrial Figures Q1 2026

    Used for: San Francisco industrial market conditions in Q1 2026 and Difference between reported office and industrial vacancy rates

    Publisher
    CBRE
    Published
    April 29, 2026
    Data period
    First quarter 2026
    Scope
    San Francisco industrial market
    Locator
    Overall vacancy, net absorption, and average asking rate summary
    Source tier
    Tier 3 · credible industry
    Accessed
    July 31, 2026
  12. 12
    2025 Retail Rent Dynamics

    Used for: Retail availability and rent performance varied materially by format

    Publisher
    CBRE
    Published
    May 7, 2025
    Data period
    Fourth quarter 2024
    Scope
    San Francisco retail formats with national comparison markets
    Locator
    Executive Summary, San Francisco high-street discussion, and Live-Work-Play section
    Source tier
    Tier 3 · credible industry
    Accessed
    July 31, 2026
  13. 13
    Curb Management Strategy

    Used for: SFMTA treats curb space as a limited resource with neighborhood-specific priorities and greater goods-loading need downtown and on commercial corridors

    Publisher
    San Francisco Municipal Transportation Agency
    Published
    February 14, 2020
    Data period
    Citywide policy framework; current implementation context reviewed July 2026
    Scope
    Citywide with neighborhood and corridor variation
    Locator
    Goods-loading geography, growing loading needs, compliance, and limited-curb framework
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  14. 14
    Loading and Short-Term Parking FAQs

    Used for: Commercial loading zones impose vehicle, active-loading, payment, and time-limit conditions

    Publisher
    San Francisco Municipal Transportation Agency
    Data period
    Current rules accessed July 2026
    Scope
    San Francisco commercial and general loading zones
    Locator
    Eligible vehicles, typical commercial-loading time limits, meter payment, and active-loading rules
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  15. 15
    Contractor Parking Permits

    Used for: Contractor parking permit conditions and fiscal-year 2026-2027 fee

    Publisher
    San Francisco Municipal Transportation Agency
    Data period
    Fiscal year 2026-2027 fee and current permit rules
    Scope
    Eligible commercial contractor vehicles operating in San Francisco
    Locator
    Requirements, exemptions, prohibited uses, fees, and application processing
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  16. 16
    San Francisco’s Existing Buildings Ordinance

    Used for: Existing Buildings Ordinance coverage thresholds and recurring requirements and Renewable-electricity requirement for large commercial buildings

    Publisher
    San Francisco Environment Department
    Data period
    Current requirements accessed July 2026
    Scope
    Covered nonresidential and multifamily buildings in San Francisco
    Locator
    Coverage thresholds, annual benchmarking, five-year commercial audits, and renewable-electricity deadlines
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  17. 17
    Signs

    Used for: Sign installation or material alteration generally requires a permit and standards vary by zoning and special sign district

    Publisher
    San Francisco Planning Department
    Data period
    Guidance last updated September 3, 2025; accessed July 2026
    Scope
    San Francisco with zoning- and special-sign-district variation
    Locator
    Permit requirement and district-specific sign requirements
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  18. 18
    Standards for Storefront Transparency

    Used for: Covered storefronts must maintain unobstructed visibility into the store

    Publisher
    San Francisco Planning Department
    Data period
    Guidance last updated July 23, 2026
    Scope
    Covered San Francisco storefronts, subject to limited exceptions
    Locator
    Planning Code Section 145.1 transparency requirement
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  19. 19
    Chain Stores

    Used for: Formula retail is subject to conditional-use review or prohibition in specified districts

    Publisher
    San Francisco Planning Department
    Data period
    Current controls accessed July 2026
    Scope
    Formula retail uses in specified San Francisco zoning districts and special-use districts
    Locator
    Definition, conditional-use triggers, and district prohibitions
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  20. 20
    Slope Protection Act

    Used for: Slope-protection review applies only where geographic exposure and project-scope triggers are met

    Publisher
    San Francisco Department of Building Inspection
    Data period
    Current project-trigger framework reviewed July 2026
    Scope
    Properties in earthquake-induced landslide zones or with average slope exceeding 25 percent, subject to project triggers
    Locator
    Geographic and project-scope triggers for slope-protection review
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  21. 21
    PermitSF Legislation

    Used for: Slope-protection review applies only where geographic exposure and project-scope triggers are met

    Publisher
    City and County of San Francisco
    Published
    October 30, 2025
    Data period
    Permit reforms effective in 2025 and reviewed July 2026
    Scope
    San Francisco permitting process and specified project types
    Locator
    Slope-review and permit-process reforms
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026

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.

Request a private franchise review
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