Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in South Bend, Indiana

We compared 14 franchise concepts for South Bend, Indiana. University and government account demand was a leading positive mechanism. Frontline labor 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
24Local sources used
26Local 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

69.3 average across 2 concepts

Largest positive factorTarget-market demand

0.5 points average among 6 affected concepts

Largest negative factorLabor and staffing friction

0.6 points average reduction among 8 affected concepts

Most assumption-sensitive rankJan-Pro International

Tested rank range spans 12 positions

Executive conclusion

What the ranking means for South Bend, Indiana

City Wide, ActionCOACH, and FASTSIGNS produced the highest modeled local-alignment scores in the evaluated set. University and government account demand was the strongest positive scored mechanism among 6 exposed concepts, adding 0.5 points on average. Frontline labor pressure was the broadest operating constraint, reducing exposed concepts by 0.5 points on average. Jan-Pro International was especially relationship-sensitive: removing frontline labor pressure moved it from #14 to #2 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
70.6Tier 3 · Mixed modeled alignment
+1.0 ptsTarget-market demand -0.3 ptsLabor and staffing friction Moderate evidence confidence
2ActionCOACHBusiness coachingInvestment: $71,668–$303,513
70.3Tier 3 · Mixed modeled alignment
+0.3 ptsTarget-market demand No material negative local adjustmentModerate evidence confidence
3FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285
70.0Tier 3 · Mixed modeled alignment
+0.5 ptsTarget-market demand -0.4 ptsTransportation, routing, and parking Moderate evidence confidence
4ZOOM DRAINDrain and sewer serviceInvestment: $266,250–$570,500
69.9Tier 3 · Mixed modeled alignment
+0.4 ptsProperty replacement-cycle demand -0.5 ptsTransportation, routing, and parking Moderate evidence confidence
5Mr. RooterPlumbingInvestment: $152,900–$298,675
69.9Tier 3 · Mixed modeled alignment
+0.4 ptsProperty replacement-cycle demand -0.5 ptsTransportation, routing, and parking Moderate evidence confidence
6Mister Sparky ElectricElectrical
69.9Tier 3 · Mixed modeled alignment
+0.3 ptsProperty replacement-cycle demand -0.4 ptsTransportation, routing, and parking Moderate evidence confidence
7Pillar To Post Home InspectorsHome inspectionInvestment: $102,690–$134,290
69.9Tier 3 · Mixed modeled alignment
+0.2 ptsProperty replacement-cycle demand -0.3 ptsTransportation, routing, and parking Moderate evidence confidence
8Aire ServHVAC installation, repair, and maintenanceInvestment: $113,308–$271,708
69.8Tier 3 · Mixed modeled alignment
+0.4 ptsProperty replacement-cycle demand -0.4 ptsTransportation, routing, and parking Moderate evidence confidence
9Tiger AdjustersPublic insurance adjustingInvestment: $43,050–$159,500
69.7Tier 3 · Mixed modeled alignment
No material positive local adjustment-0.2 ptsTransportation, routing, and parking Moderate evidence confidence
10HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800
69.6Tier 3 · Mixed modeled alignment
+0.3 ptsTarget-market demand -0.4 ptsLabor and staffing friction Moderate evidence confidence

View all 14 score calculations

Conditions that changed the analysis

What mattered most in South Bend, Indiana

01

Large adjacent Notre Dame campus creates an institutional account base accessible from South Bend

This relationship affected 6 concepts and added 0.5 points on average among those exposed. Local evidence: University of Notre Dame total fall 2025 enrollment: 13,204 students. [11] [10]

02

Notre Dame competes directly for selected frontline and event-service labor at a $17.50 minimum starting rate

This relationship affected 9 concepts and reduced 0.5 points on average among those exposed. Local evidence: South Bend-Mishawaka major-group mean hourly wages for service occupations: food preparation and serving: 15.17; building and grounds cleaning and maintenance: 18.19; personal care and service: 17.52; office and administrative support: 22.43 usd per hour. [9] [11] [10]

03

The supplied docket characterized South Bend as experiencing unusually strong population growth. The current 2025 Census estimate is 103,201, down 0.2% from the April 2020 estimate base.

Current citywide population is essentially flat relative to the 2020 estimate base, while large adjacent institutional demand and neighborhood-level housing conditions vary geographically. Population-growth narratives should therefore not be used as a proxy for uniform retail traffic, household-service growth, or territory quality. [5] [6] [2]

Evidence behind the city mechanisms

Notre Dame competes directly for selected frontline and event-service labor at a $17.50 minimum starting rate1 modeled effect
Frontline labor pressureLabor and staffing friction
Large adjacent Notre Dame campus creates an institutional account base accessible from South Bend1 modeled effect
University and government account demandTarget-market demand
Notre Dame offers a large institutional sales channel but uses formal supplier onboarding and threshold-based bidding1 modeled effect
Institutional procurement-cycle frictionSales and customer acquisition
Notre Dame football creates recurring event spikes concentrated around six 2026 home-game dates1 local fact · 2 modeled effects · 1 source
  • Notre Dame lists six football home games for the 2026 season: 6 home games [14]
Event-driven demand upsideTarget-market demand
Event-demand volatilityTarget-market demand
Active 2026 paving affects multiple high-traffic South Bend street segments through the expected end of October1 modeled effect
Route and curb productivity pressureTransportation, routing, and parking
Snow response prioritizes main routes, allows up to 36 hours for all streets after snowfall, and leaves alleys to adjacent owners1 modeled effect
Winter parking and access pressureTransportation, routing, and parking

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 alignment70.6

City Wide

Facility management · B2B facility management and vendor coordination

Initial investment: $229,729–$410,730

Increase +1.0 pts Target-market demandReduction -0.3 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
Target-market demand
  • University and government account demand Evidence+1.0 pts
    Primary modeled driverRelationship test: #1 → #8
+1.0 pts
Labor and staffing friction
  • Frontline labor pressure Evidence-0.3 pts
-0.3 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.1 pts
-0.1 pts
Net local movement+0.59 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+1.0
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.3
Transportation, routing, and parking-0.1
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystemMeasured; no meaningful local adjustment
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.59
Published local-market alignment70.6

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
Strong
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 +1.0 pts
Tested rank range
#1–#8
#2Tier 3 · Mixed modeled alignment70.3

ActionCOACH

Business coaching · home-based B2B advisory

Initial investment: $71,668–$303,513

Increase +0.3 pts Target-market demandNo material negative local adjustment identified

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
  • University and government account demand Evidence+0.3 pts
    Primary modeled driverRelationship test: #2 → #1
+0.3 pts
Sales and customer acquisitionInstitutional procurement-cycle friction EvidenceConditional — applicability must be confirmedNot scored
Net local movement+0.26 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+0.3
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionEffect below the publication threshold
Transportation, routing, and parkingNot applicable to this operating model
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystemMeasured; no meaningful local adjustment
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.26
Published local-market alignment70.3

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
Strong
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 +0.3 pts
Tested rank range
#1–#6
#3Tier 3 · Mixed modeled alignment70.0

FASTSIGNS

Signs and graphics · B2B production and installation center

Initial investment: $231,226–$386,285

Increase +0.5 pts Target-market demandReduction -0.4 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
  • University and government account demand Evidence+0.5 pts
    Primary modeled driverRelationship test: #3 → #9
+0.5 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.4 pts
-0.4 pts
Net local movement+0.04 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
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+0.5
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot applicable to this operating model
Transportation, routing, and parking-0.4
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystemMeasured; no meaningful local adjustment
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.04
Published local-market alignment70.0

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
Strong
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 +0.5 pts
Tested rank range
#2–#9
#4Tier 3 · Mixed modeled alignment69.9

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Initial investment: $266,250–$570,500

Increase +0.4 pts Property replacement-cycle demandReduction -0.5 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
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.5 pts
    Primary modeled driverRelationship test: #4 → #3
-0.5 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.4 pts
+0.4 pts
Transportation, routing, and parkingRoute and curb productivity pressure EvidenceConditional — applicability must be confirmedNot scored
Net local movement-0.07 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+0.4
Competitive environmentNot included in the score
Labor and staffing frictionNot applicable to this operating model
Transportation, routing, and parking-0.5
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemMeasured; no meaningful local adjustment
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.93
Published local-market alignment69.9

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
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Adequate
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Transportation, routing, and parking -0.5 pts
Tested rank range
#2–#8
#5Tier 3 · Mixed modeled alignment69.9

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Initial investment: $152,900–$298,675

Increase +0.4 pts Property replacement-cycle demandReduction -0.5 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
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.5 pts
    Primary modeled driverRelationship test: #5 → #4
-0.5 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.4 pts
+0.4 pts
Transportation, routing, and parkingRoute and curb productivity pressure EvidenceConditional — applicability must be confirmedNot scored
Net local movement-0.08 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+0.4
Competitive environmentNot included in the score
Labor and staffing frictionNot applicable to this operating model
Transportation, routing, and parking-0.5
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemMeasured; no meaningful local adjustment
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.92
Published local-market alignment69.9

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
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Adequate
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Transportation, routing, and parking -0.5 pts
Tested rank range
#3–#10
#6Tier 3 · Mixed modeled alignment69.9

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +0.3 pts Property replacement-cycle demandReduction -0.4 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
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.4 pts
    Primary modeled driverRelationship test: #6 → #5
-0.4 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.3 pts
+0.3 pts
Transportation, routing, and parkingRoute and curb productivity pressure EvidenceConditional — applicability must be confirmedNot scored
Net local movement-0.09 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 demandNot applicable to this operating model
Property replacement-cycle demand+0.3
Competitive environmentNot included in the score
Labor and staffing frictionNot applicable to this operating model
Transportation, routing, and parking-0.4
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemMeasured; no meaningful local adjustment
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.91
Published local-market alignment69.9

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
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Adequate
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Transportation, routing, and parking -0.4 pts
Tested rank range
#4–#11
#7Tier 3 · Mixed modeled alignment69.9

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Initial investment: $102,690–$134,290

Increase +0.2 pts Property replacement-cycle demandReduction -0.3 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
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.3 pts
    Primary modeled driverRelationship test: #7 → #8
-0.3 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.2 pts
+0.2 pts
Net local movement-0.13 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 demandNot applicable to this operating model
Property replacement-cycle demand+0.2
Competitive environmentNot included in the score
Labor and staffing frictionNot applicable to this operating model
Transportation, routing, and parking-0.3
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemMeasured; no meaningful local adjustment
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.87
Published local-market alignment69.9

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
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Adequate
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Transportation, routing, and parking -0.3 pts
Tested rank range
#5–#12
#8Tier 3 · Mixed modeled alignment69.8

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 +0.4 pts Property replacement-cycle demandReduction -0.4 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
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.4 pts
    Primary modeled driverRelationship test: #8 → #7
-0.4 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.4 pts
+0.4 pts
Labor and staffing friction
  • Frontline labor pressure Evidence-0.1 pts
-0.1 pts
Transportation, routing, and parkingRoute and curb productivity pressure EvidenceConditional — applicability must be confirmedNot scored
Net local movement-0.21 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 demandNot applicable to this operating model
Property replacement-cycle demand+0.4
Competitive environmentNot included in the score
Labor and staffing friction-0.1
Transportation, routing, and parking-0.4
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemMeasured; no meaningful local adjustment
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.79
Published local-market alignment69.8

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
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Adequate
Source-evidence confidence
Adequate
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Transportation, routing, and parking -0.4 pts
Tested rank range
#6–#10
#9Tier 3 · Mixed modeled alignment69.7

Tiger Adjusters

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

Initial investment: $43,050–$159,500

No material positive local adjustment identifiedReduction -0.2 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
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.2 pts
    Primary modeled driverRelationship test: #9 → #10
-0.2 pts
Labor and staffing friction
  • Frontline labor pressure Evidence-0.1 pts
-0.1 pts
Net local movement-0.27 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 demandNot applicable to this operating model
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-0.2
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemMeasured; no meaningful local adjustment
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.73
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
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Adequate
Source-evidence confidence
Adequate
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Transportation, routing, and parking -0.2 pts
Tested rank range
#4–#13
#10Tier 3 · Mixed modeled alignment69.6

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 +0.3 pts Target-market demandReduction -0.4 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-0.4 pts
    Primary modeled driverRelationship test: #10 → #7
-0.4 pts
Target-market demand
  • University and government account demand Evidence+0.3 pts
+0.3 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.3 pts
-0.3 pts
Net local movement-0.37 pts

Net uses full-precision effects; displayed factor and driver rows are rounded.

Franchise evidence

Source material assessed

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+0.3
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.4
Transportation, routing, and parking-0.3
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemMeasured; no meaningful local adjustment
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.63
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
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Adequate
Source-evidence confidence
Adequate
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -0.4 pts
Tested rank range
#6–#11
#11Tier 3 · Mixed modeled alignment69.3

PuroClean

Restoration · emergency property restoration

Initial investment: $54,575–$262,145

Increase +0.3 pts Property replacement-cycle demandReduction -0.7 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-0.7 pts
    Primary modeled driverRelationship test: #11 → #6
-0.7 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.3 pts
+0.3 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.3 pts
-0.3 pts
Transportation, routing, and parkingRoute and curb productivity pressure EvidenceConditional — applicability must be confirmedNot scored
Net local movement-0.67 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+0.3
Competitive environmentNot included in the score
Labor and staffing friction-0.7
Transportation, routing, and parking-0.3
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemMeasured; no meaningful local adjustment
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.33
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
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Adequate
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -0.7 pts
Tested rank range
#6–#11
#12Tier 3 · Mixed modeled alignment69.2

Rainbow International Restoration

Restoration · emergency property restoration

Initial investment: $185,336–$351,900

Increase +0.3 pts Property replacement-cycle 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 factorModeled driversImpact
Labor and staffing friction
  • Frontline labor pressure Evidence-0.8 pts
    Primary modeled driverRelationship test: #12 → #4
-0.8 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.4 pts
-0.4 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.3 pts
+0.3 pts
Target-market demand
  • University and government account demand Evidence+0.1 pts
+0.1 pts
Transportation, routing, and parkingRoute and curb productivity pressure EvidenceConditional — applicability must be confirmedNot scored
Net local movement-0.76 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+0.1
Property replacement-cycle demand+0.3
Competitive environmentNot included in the score
Labor and staffing friction-0.8
Transportation, routing, and parking-0.4
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemMeasured; no meaningful local adjustment
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.24
Published local-market alignment69.2

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
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Adequate
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -0.8 pts
Tested rank range
#4–#14
#13Tier 3 · Mixed modeled alignment69.0

Workout Anytime

Fitness · fixed-location membership fitness

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

No material positive local adjustment identifiedReduction -0.8 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-0.8 pts
    Primary modeled driverRelationship test: #13 → #14
-0.8 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.2 pts
-0.2 pts
Net local movement-1.04 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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.8
Transportation, routing, and parking-0.2
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemMeasured; no meaningful local adjustment
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score68.96
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
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Adequate
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -0.8 pts
Tested rank range
#12–#14
#14Tier 3 · Mixed modeled alignment68.9

Jan-Pro International

Commercial cleaning · recurring commercial route service

Initial investment: $130,000–$421,500

Increase +0.7 pts Target-market demandReduction -1.5 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
  • Frontline labor pressure Evidence-1.5 pts
    Primary modeled driverRelationship test: #14 → #2
-1.5 pts
Target-market demand
  • University and government account demand Evidence+0.7 pts
+0.7 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.3 pts
-0.3 pts
Sales and customer acquisitionInstitutional procurement-cycle friction EvidenceConditional — applicability must be confirmedNot scored
Net local movement-1.05 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+0.7
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-1.5
Transportation, routing, and parking-0.3
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystemMeasured; no meaningful local adjustment
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score68.95
Published local-market alignment68.9

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
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Adequate
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -1.5 pts
Tested rank range
#2–#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+1.0
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.3
Transportation, routing, and parking-0.1
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystemMeasured; no meaningful local adjustment
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.59
Published local-market alignment70.6

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 effectMixed or model dependent

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 6 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. City Wide moved from #1 to #8, the largest movement among concepts directly affected by this factor.

Concepts adjusted6 of 14
Average among affected+0.5 pts
Average across all concepts+0.2 pts
Concepts changing rank11

What we observed

  • University Of Notre Dame Total Fall 2025 Enrollment13,204 students
  • Notre Dame Campus Operating Scale Reported In Winter 2025 26students: more than 13000; employees approx: 8,300; campus acres: more than 1250 mixed
  • Notre Dame Supplier Access And Competitive Procurement Requirementssupplier registration: invitation required via PaymentWorks; open sourcing events: yes; simplified acquisition range usd: 50000.01-250000; simplified acquisition quote requirement: three quotes if not preferred supplier; formal procurement threshold usd: 250,000; procurement led bid minimum time: two weeks for procurement services solicitation structured record

Concepts helped most

City WideFacility management
+1.0 pts
Jan-Pro InternationalCommercial cleaning
+0.7 pts
FASTSIGNSSigns and graphics
+0.5 pts
HomeSmilesProperty maintenance services
+0.3 pts
ActionCOACHBusiness coaching
+0.3 pts
Measured but not differentiating in this concept set
  • Competitive environmentNo material score adjustment
  • Real estate and site feasibilityNo material score adjustment
  • Sales and customer acquisitionNo material score adjustment
  • Referral ecosystemNo material score adjustment
  • Territory qualityNo material score adjustment
  • Regulatory and operating frictionNo material score adjustment

Rank stability

Which positions depend most on individual assumptions?

The line shows the best and worst rank reached when one factor was removed from every concept. A narrow range indicates a more stable position.

#1 City WideHighly sensitive · tested #1–#8
#2 ActionCOACHHighly sensitive · tested #1–#6
#3 FASTSIGNSHighly sensitive · tested #2–#9
#4 ZOOM DRAINHighly sensitive · tested #2–#8
#5 Mr. RooterHighly sensitive · tested #3–#10
#6 Mister Sparky ElectricHighly sensitive · tested #4–#11
#7 Pillar To Post Home InspectorsHighly sensitive · tested #5–#12
#8 Aire ServHighly sensitive · tested #6–#10
#9 Tiger AdjustersHighly sensitive · tested #4–#13
#10 HomeSmilesHighly sensitive · tested #6–#11
#11 PuroCleanHighly sensitive · tested #6–#11
#12 Rainbow International RestorationHighly sensitive · tested #4–#14
#13 Workout AnytimeModerately sensitive · tested #12–#14
#14 Jan-Pro InternationalHighly sensitive · tested #2–#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.

Score-changing factors

Factors that changed the calculated scores

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.+1.5+0.80.0-0.8-1.5
Target-market demand
#1 City Wide · Target-market demand · +1.0 pts1#2 ActionCOACH · Target-market demand · +0.3 pts2#3 FASTSIGNS · Target-market demand · +0.5 pts3#10 HomeSmiles · Target-market demand · +0.3 pts10#12 Rainbow International Restoration · Target-market demand · +0.1 pts12#14 Jan-Pro International · Target-market demand · +0.7 pts14
Property replacement-cycle demand
#4 ZOOM DRAIN · Property replacement-cycle demand · +0.4 pts4#5 Mr. Rooter · Property replacement-cycle demand · +0.4 pts5#6 Mister Sparky Electric · Property replacement-cycle demand · +0.3 pts6#7 Pillar To Post Home Inspectors · Property replacement-cycle demand · +0.2 pts7#8 Aire Serv · Property replacement-cycle demand · +0.4 pts8#11 PuroClean · Property replacement-cycle demand · +0.3 pts11#12 Rainbow International Restoration · Property replacement-cycle demand · +0.3 pts12
Labor and staffing friction
#1 City Wide · Labor and staffing friction · -0.3 pts1#8 Aire Serv · Labor and staffing friction · -0.1 pts8#9 Tiger Adjusters · Labor and staffing friction · -0.1 pts9#10 HomeSmiles · Labor and staffing friction · -0.4 pts10#11 PuroClean · Labor and staffing friction · -0.7 pts11#12 Rainbow International Restoration · Labor and staffing friction · -0.8 pts12#13 Workout Anytime · Labor and staffing friction · -0.8 pts13#14 Jan-Pro International · Labor and staffing friction · -1.5 pts14
Transportation, routing, and parking
#1 City Wide · Transportation, routing, and parking · -0.1 pts1#3 FASTSIGNS · Transportation, routing, and parking · -0.4 pts3#4 ZOOM DRAIN · Transportation, routing, and parking · -0.5 pts4#5 Mr. Rooter · Transportation, routing, and parking · -0.5 pts5#6 Mister Sparky Electric · Transportation, routing, and parking · -0.4 pts6#7 Pillar To Post Home Inspectors · Transportation, routing, and parking · -0.3 pts7#8 Aire Serv · Transportation, routing, and parking · -0.4 pts8#9 Tiger Adjusters · Transportation, routing, and parking · -0.2 pts9#10 HomeSmiles · Transportation, routing, and parking · -0.3 pts10#11 PuroClean · Transportation, routing, and parking · -0.3 pts11#12 Rainbow International Restoration · Transportation, routing, and parking · -0.4 pts12#13 Workout Anytime · Transportation, routing, and parking · -0.2 pts13#14 Jan-Pro International · Transportation, routing, and parking · -0.3 pts14
Primary source records by factorTarget-market demand: [5] [6] [10] [11] [12] [14] [15] [2]Property replacement-cycle demand: [6] [5] [23] [2]Competitive environment: [24] [5] [4]Labor and staffing friction: [7] [8] [9] [10] [3]Transportation, routing, and parking: [21] [22] [23] [5] [4]Real estate and site feasibility: [17] [6] [2] [4]Sales and customer acquisition: [12] [13] [24] [4]Referral ecosystem: [12] [10] [15] [4]Territory quality: [6] [17] [21] [4]Regulatory and operating friction: [18] [19] [20] [3] [4]
View the chart data as a table
ConceptTarget-market demandProperty replacement-cycle demandLabor and staffing frictionTransportation, routing, and parking
#1 City Wide+1.0 pts—-0.3 pts-0.1 pts
#2 ActionCOACH+0.3 pts———
#3 FASTSIGNS+0.5 pts——-0.4 pts
#4 ZOOM DRAIN—+0.4 pts—-0.5 pts
#5 Mr. Rooter—+0.4 pts—-0.5 pts
#6 Mister Sparky Electric—+0.3 pts—-0.4 pts
#7 Pillar To Post Home Inspectors—+0.2 pts—-0.3 pts
#8 Aire Serv—+0.4 pts-0.1 pts-0.4 pts
#9 Tiger Adjusters——-0.1 pts-0.2 pts
#10 HomeSmiles+0.3 pts—-0.4 pts-0.3 pts
#11 PuroClean—+0.3 pts-0.7 pts-0.3 pts
#12 Rainbow International Restoration+0.1 pts+0.3 pts-0.8 pts-0.4 pts
#13 Workout Anytime——-0.8 pts-0.2 pts
#14 Jan-Pro International+0.7 pts—-1.5 pts-0.3 pts

Interpretation

How to interpret the result

City Wide, ActionCOACH, FASTSIGNS 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 City Wide, ActionCOACH, FASTSIGNS; their ranks move more widely when individual factors are neutralized.

Category comparisons

Best franchise categories we assessed in South Bend, Indiana

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

Limited two-concept comparison

Limited comparison: Restoration franchise opportunities assessed in South Bend, Indiana

69.3

2 Restoration concepts qualified for comparison, with scores ranging from 69.2 to 69.3. PuroClean ranked highest at 69.3. Property replacement-cycle demand added 0.3 points on average among the affected concepts. Labor and staffing friction 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
69.2–69.3
Category average
69.3
PuroClean69.3
Rainbow International Restoration69.2

Metric registry

The 26 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, 2025103,201peopleJuly 1, 2025 population estimate; 2020-2024 ACS measures; 2022 economic receiptsSouth Bend, IndianaSupports research conclusion [5]
Population change from the April 2020 estimate base to July 2025-0.2percentJuly 1, 2025 population estimate; 2020-2024 ACS measures; 2022 economic receiptsSouth Bend, IndianaSupports research conclusion [5]
Estimated households, 2020-202441,282householdsJuly 1, 2025 population estimate; 2020-2024 ACS measures; 2022 economic receiptsSouth Bend, IndianaContext only [5]
Owner-occupied housing unit rate, 2020-202460.2percentJuly 1, 2025 population estimate; 2020-2024 ACS measures; 2022 economic receiptsSouth Bend, IndianaUsed in scoring [5]
Median value of owner-occupied housing units, 2020-2024140,400usdJuly 1, 2025 population estimate; 2020-2024 ACS measures; 2022 economic receiptsSouth Bend, IndianaContext only [5]
Median gross rent, 2020-20241,033usd per monthJuly 1, 2025 population estimate; 2020-2024 ACS measures; 2022 economic receiptsSouth Bend, IndianaContext only [5]
Median household income, 2020-202455,786usd 2024July 1, 2025 population estimate; 2020-2024 ACS measures; 2022 economic receiptsSouth Bend, IndianaContext only [5]
Persons in poverty20.8percentJuly 1, 2025 population estimate; 2020-2024 ACS measures; 2022 economic receiptsSouth Bend, IndianaContext only [5]
Mean travel time to work, 2020-202420.2minutesJuly 1, 2025 population estimate; 2020-2024 ACS measures; 2022 economic receiptsSouth Bend, IndianaContext only [5]
City-commissioned housing report found many South Bend homes are older and only 121 of roughly 6,000 sales since 2016 were homes built in the prior decaderecent construction sales: 121; approx total sales since 2016: 6,000; report characterization: many South Bend homes are oldermixedHousing, sales, affordability, and neighborhood evidence largely through 2019-2021South Bend, IndianaUsed in scoring [6] [2]
Rent exceeded 30% of tract median household income in 10 of 43 South Bend census tracts in the city-commissioned housing reporttracts above 30 percent rent to mhi: 10; total tracts: 43; concentration: south and west of downtowncensus tractsHousing, sales, affordability, and neighborhood evidence largely through 2019-2021South Bend, IndianaConditional relationship [6]
Existing market studies summarized in the city-commissioned report estimated absorption capacity of about 2,000 to 2,500 new units over five years in central neighborhoodslow: 2,000; high: 2,500; period years: 5housing unitsHousing, sales, affordability, and neighborhood evidence largely through 2019-2021Central South Bend neighborhoods studied before 2022Conditional relationship [6]
Notre Dame campus operating scale reported in Winter 2025-26students: more than 13000; employees approx: 8,300; campus acres: more than 1250mixedWinter 2025-26 campus operating scaleUniversity of Notre Dame campus, Notre Dame, Indiana, immediately north of South BendUsed in scoring [10] [11]
University of Notre Dame total fall 2025 enrollment13,204studentsFall 2025 enrollmentUniversity of Notre DameUsed in scoring [11]
Notre Dame minimum starting rate for full-time and part-time positions17.5usd per hourCurrent policy accessed August 18, 2026University of Notre DameUsed in scoring [7] [3]
Notre Dame event-parking role directly overlaps with customer-service and event-support labor at the university minimum starting rateemployer: University of Notre Dame; cited role: Temporary Parking Services Team Member; compensation usd per hour: 17.5; affected franchise labor attributes: frontline hourly labor, high opening headcount, high turnover exposure; occupational overlap confidence: high; limitations: Direct overlap is strongest for event, parking, hospitality, customer-service, and similar frontline roles; it does not establish pressure for every occupation.structured record2026-2027 event season postingUniversity of Notre DameUsed in scoring [8] [7]
South Bend-Mishawaka major-group mean hourly wages for service occupationsfood preparation and serving: 15.17; building and grounds cleaning and maintenance: 18.19; personal care and service: 17.52; office and administrative support: 22.43usd per hourMay 2025South Bend-Mishawaka, IN-MI MSAUsed in scoring [9]
Notre Dame supplier access and competitive procurement requirementssupplier registration: invitation required via PaymentWorks; open sourcing events: yes; simplified acquisition range usd: 50000.01-250000; simplified acquisition quote requirement: three quotes if not preferred supplier; formal procurement threshold usd: 250,000; procurement led bid minimum time: two weeks for procurement services solicitationstructured recordCurrent supplier and sourcing process accessed August 18, 2026University of Notre DameUsed in scoring [12] [13]
Notre Dame lists six football home games for the 2026 season6home games2026 football seasonUniversity of Notre Dame campus and nearby South Bend corridorsSupports modeled relationship [14]
Memorial Hospital patient tower remained under active construction in August 2026status: active construction; planned total adult beds: 302; planned bed increase: 53; planned new jobs upon opening: 500; published completion target: Q3 2026mixedActive construction as of August 2026Memorial Hospital of South Bend, downtown South BendContext only [15] [16]
St. Joseph County office and industrial market snapshot, Q2 2026office vacancy percent: 7.6; office avg lease rate usd psf: 19.47; industrial vacancy percent: 8.6; industrial avg lease rate usd psf: 6.11; industrial under construction sqft: 2,100,000mixedQ2 2026 CoStar-derived market snapshotStConditional relationship [17]
South Bend System Development Charge schedule for a new 1.0-ERU connectionwater charge usd: 475; sewer charge usd: 1,145; combined usd: 1,620; trigger: new municipal water or sewer connection, or meter-size increase; nonresidential ERUs depend on flow calculation factorsusd per 1 eruCurrent guide published June 2025South Bend, IndianaContext only [18] [3]
Exterior work on locally designated historic properties requires a Certificate of Appropriateness; the city sign permit flags a COA requirement in historic districtsstaff turnaround for smaller complete applications: about 24 to 48 hours; larger or material change review: Historic Preservation Commission typically meets monthly; site gate: locally designated historic landmark or districtstructured recordCurrent guidance accessed August 18, 2026Locally designated historic landmarks and districts in South Bend / StConditional relationship [19] [20] [4]
City added 19 lane miles of 2026 paving on named high-traffic streets, expected to finish by end of Octoberadditional lane miles: 19; expected completion: 2026-10-31; named corridors include: Angela Boulevard, Ewing Avenue, Ironwood Road/Drive, Main Street, McKinley Avenue, Mishawaka Avenue, Portage Avenue, Riverside Drive, additional values omittedmixed2026 paving season through expected end of OctoberNamed South Bend street segmentsConditional relationship [21] [4]
South Bend snow response prioritizes main routes; the city targets all streets safely drivable within 36 hours after snowfall ends and does not plow alleysmain routes prioritized: yes; target hours after snow stops: 36; alleys plowed by city: nostructured recordCurrent snow-response guidance accessed August 18, 2026South Bend, IndianaUsed in scoring [22]
Purdue Extension reported frozen soil deeper than 12 inches in many northern Indiana locations during winter 2024-25 and noted frozen ground can limit infiltration and percolationfrozen depth: greater than 12 inches in many locations; mechanism: frozen ground can limit infiltration and percolation; freeze-thaw loosens soilstructured recordWinter 2024-2025 Michiana / northern Indiana conditionsMichiana and northern IndianaUsed in scoring [23] [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

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 70.59 after target-market demand +1.0 pts, labor and staffing friction -0.3 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. Reports are checked for source scope, classification, arithmetic, unsupported claims, duplication, and readability before publication.

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

Local evidence supporting this report

The city page keeps the local sources used for its visible findings and metrics. Franchise-source provenance stays with the underlying franchise research rather than being duplicated across every city page.

  1. 1
    Franchise-to-city operating-fit scoring modelInternal or supplied research; not publicly accessible.
    Publisher
    Internal model definition
    Data period
    Model version 0.9.0-calibration
    Scope
    Model-wide
    Locator
    Factors, operating attributes, city modifier taxonomy, channels, confidence, provenance, and validation rules
    Source tier
    Tier 5 · internal controlling taxonomy
    Accessed
    August 18, 2026
  2. 2
    Utility Delta Audit: Structural Inefficiencies and Asymmetric Opportunities in U.S. MarketsInternal or supplied research; not publicly accessible.

    Used for: City-commissioned housing report found many South Bend homes are older and only 121 of roughly 6,000 sales since 2016 were homes built in the prior decade and Purdue Extension reported frozen soil deeper than 12 inches in many northern Indiana locations during winter 2024-25 and noted frozen ground can limit infiltration and percolation

    Publisher
    Supplied research material
    Published
    February 24, 2026
    Data period
    Research cited as accessed through February 24, 2026
    Scope
    South Bend, Indiana section within a multi-city research docket
    Locator
    South Bend section and cited sources 1-18
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 18, 2026
  3. 3
    Municipal Hostility Index: Forensic Capitalization of Structural Constraints and Economic Choke PointsInternal or supplied research; not publicly accessible.

    Used for: Notre Dame minimum starting rate for full-time and part-time positions and South Bend System Development Charge schedule for a new 1.0-ERU connection

    Publisher
    Supplied research material
    Published
    February 20, 2026
    Data period
    Research cited as accessed through February 20, 2026
    Scope
    South Bend, Indiana section within a multi-city research docket
    Locator
    South Bend section, subsections A-F and works cited
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 18, 2026
  4. 4
    Franchise data - remake - 162.csvInternal or supplied research; not publicly accessible.

    Used for: Exterior work on locally designated historic properties requires a Certificate of Appropriateness; the city sign permit flags a COA requirement in historic districts and City added 19 lane miles of 2026 paving on named high-traffic streets, expected to finish by end of October

    Publisher
    Supplied research material
    Data period
    Six South Bend neighborhood records supplied August 18, 2026
    Scope
    East Bank Village, River Park, Near Northwest, Chapin Park, LaSalle Park, and Rum Village in South Bend
    Locator
    South Bend rows; regulatory barrier, demand generator, and operational friction fields
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 18, 2026
  5. 5
    QuickFacts: South Bend city, Indiana

    Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Estimated households, 2020-2024, Owner-occupied housing unit rate, 2020-2024, and Median value of owner-occupied housing units, 2020-2024

    Publisher
    U.S. Census Bureau
    Data period
    July 1, 2025 population estimate; 2020-2024 ACS measures; 2022 economic receipts
    Scope
    South Bend city, Indiana
    Locator
    Population, housing, households, transportation, income, poverty, and sector receipts
    Source tier
    Tier 1 · government
    Accessed
    August 18, 2026
  6. 6
    Housing South Bend: Opportunities for transformative investment

    Used for: City-commissioned housing report found many South Bend homes are older and only 121 of roughly 6,000 sales since 2016 were homes built in the prior decade, Rent exceeded 30% of tract median household income in 10 of 43 South Bend census tracts in the city-commissioned housing report, and Existing market studies summarized in the city-commissioned report estimated absorption capacity of about 2,000 to 2,500 new units over five years in central neighborhoods

    Publisher
    Rice University Kinder Institute for Urban Research for the City of South Bend
    Data period
    Housing, sales, affordability, and neighborhood evidence largely through 2019-2021
    Scope
    South Bend city and census tracts
    Locator
    Executive Summary; Existing Conditions; census-tract home-price, rent-burden, appraisal-gap, and demand findings
    Source tier
    Tier 2 · recognized institutional research
    Accessed
    August 18, 2026
  7. 7
    Compensation

    Used for: Notre Dame minimum starting rate for full-time and part-time positions and Notre Dame event-parking role directly overlaps with customer-service and event-support labor at the university minimum starting rate

    Publisher
    University of Notre Dame Human Resources
    Data period
    Current policy accessed August 18, 2026
    Scope
    University of Notre Dame, Notre Dame, Indiana, immediately adjacent to South Bend
    Locator
    Minimum starting rate and market reference range policy
    Source tier
    Tier 2 · recognized institution
    Accessed
    August 18, 2026
  8. 8
    Temporary | Parking Services

    Used for: Notre Dame event-parking role directly overlaps with customer-service and event-support labor at the university minimum starting rate

    Publisher
    University of Notre Dame Careers
    Data period
    2026-2027 event season posting
    Scope
    University of Notre Dame campus
    Locator
    Temporary event-parking duties and $17.50 hourly pay
    Source tier
    Tier 2 · recognized institution
    Accessed
    August 18, 2026
  9. 9
    Occupational Employment and Wages in South Bend-Mishawaka — May 2025

    Used for: South Bend-Mishawaka major-group mean hourly wages for service occupations

    Publisher
    U.S. Bureau of Labor Statistics
    Published
    July 10, 2026
    Data period
    May 2025
    Scope
    South Bend-Mishawaka, IN-MI Metropolitan Statistical Area
    Locator
    Table A major occupational groups and wage/employment shares
    Source tier
    Tier 1 · government
    Accessed
    August 18, 2026
  10. 10
    A Tall Order

    Used for: Notre Dame campus operating scale reported in Winter 2025-26

    Publisher
    Notre Dame Magazine, University of Notre Dame
    Data period
    Winter 2025-26 campus operating scale
    Scope
    University of Notre Dame campus
    Locator
    Campus size, student and employee counts, dining and facilities operating scale
    Source tier
    Tier 2 · recognized institution
    Accessed
    August 18, 2026
  11. 11
    IPEDS Fall Enrollment Component Summary 2025-2026

    Used for: Notre Dame campus operating scale reported in Winter 2025-26 and University of Notre Dame total fall 2025 enrollment

    Publisher
    University of Notre Dame / IPEDS
    Published
    April 6, 2026
    Data period
    Fall 2025 enrollment
    Scope
    University of Notre Dame
    Locator
    Total, undergraduate, and graduate enrollment summary
    Source tier
    Tier 1 · government-reported institutional data
    Accessed
    August 18, 2026
  12. 12
    For Suppliers

    Used for: Notre Dame supplier access and competitive procurement requirements

    Publisher
    University of Notre Dame Procurement Services
    Data period
    Current supplier and sourcing process accessed August 18, 2026
    Scope
    University of Notre Dame
    Locator
    Open sourcing events, supplier registration, insurance requirements, and receiving
    Source tier
    Tier 2 · recognized institution
    Accessed
    August 18, 2026
  13. 13
    Policies & Procedures

    Used for: Notre Dame supplier access and competitive procurement requirements

    Publisher
    University of Notre Dame Procurement Services
    Data period
    Current purchasing thresholds accessed August 18, 2026
    Scope
    University of Notre Dame
    Locator
    Competitive bidding thresholds and minimum procurement-led timeframe
    Source tier
    Tier 2 · recognized institution
    Accessed
    August 18, 2026
  14. 14
    Football Gameday

    Used for: Notre Dame lists six football home games for the 2026 season

    Publisher
    University of Notre Dame Hospitality
    Data period
    2026 football season
    Scope
    University of Notre Dame campus and surrounding event catchment
    Locator
    Six listed 2026 home games
    Source tier
    Tier 2 · recognized institution
    Accessed
    August 18, 2026
  15. 15
    Behind the scenes of Memorial Hospital’s new patient tower

    Used for: Memorial Hospital patient tower remained under active construction in August 2026

    Publisher
    Beacon Health System
    Published
    August 3, 2026
    Data period
    Active construction as of August 2026
    Scope
    Memorial Hospital of South Bend, downtown South Bend
    Locator
    Current patient-tower construction status
    Source tier
    Tier 2 · recognized institution
    Accessed
    August 18, 2026
  16. 16
    Memorial Tower: By the Numbers

    Used for: Memorial Hospital patient tower remained under active construction in August 2026

    Publisher
    Beacon Health System
    Published
    April 11, 2022
    Data period
    Project figures updated July 2024; completion target third quarter 2026
    Scope
    Memorial Hospital of South Bend
    Locator
    Project cost, beds, employment, and completion target
    Source tier
    Tier 2 · recognized institution
    Accessed
    August 18, 2026
  17. 17
    Market Trends Q2 2026

    Used for: St. Joseph County office and industrial market snapshot, Q2 2026

    Publisher
    Cressy Commercial Real Estate
    Data period
    Q2 2026 CoStar-derived market snapshot
    Scope
    St. Joseph County, Indiana
    Locator
    Office and industrial inventory, lease rates, absorption, construction, and vacancy
    Source tier
    Tier 3 · credible industry
    Accessed
    August 18, 2026
  18. 18
    Site Development Guide

    Used for: South Bend System Development Charge schedule for a new 1.0-ERU connection

    Publisher
    City of South Bend Department of Public Works
    Data period
    Current guide published June 2025
    Scope
    City of South Bend
    Locator
    Sections 4-3 and 4-4 utility verification and System Development Charges; section 7-2 review fees
    Source tier
    Tier 1 · government
    Accessed
    August 18, 2026
  19. 19
    Historic Preservation Commission FAQ

    Used for: Exterior work on locally designated historic properties requires a Certificate of Appropriateness; the city sign permit flags a COA requirement in historic districts

    Publisher
    City of South Bend 311 Service Portal
    Data period
    Current guidance accessed August 18, 2026
    Scope
    Locally designated historic landmarks and districts in South Bend and St. Joseph County
    Locator
    COA triggers, staff approval, and commission review timing
    Source tier
    Tier 1 · government
    Accessed
    August 18, 2026
  20. 20
    City of South Bend Permit Application for Off-Premise Sign

    Used for: Exterior work on locally designated historic properties requires a Certificate of Appropriateness; the city sign permit flags a COA requirement in historic districts

    Publisher
    City of South Bend
    Data period
    Current permit form accessed August 18, 2026
    Scope
    South Bend; historic-district and overlay conditions identified on form
    Locator
    Historic district COA requirement and sign-location fields
    Source tier
    Tier 1 · government
    Accessed
    August 18, 2026
  21. 21
    City Announces Additional Paving for 2026

    Used for: City added 19 lane miles of 2026 paving on named high-traffic streets, expected to finish by end of October

    Publisher
    City of South Bend Department of Public Works
    Published
    August 13, 2026
    Data period
    2026 paving season through expected end of October
    Scope
    Listed high-traffic streets in South Bend
    Locator
    Additional 19 lane miles and named street segments
    Source tier
    Tier 1 · government
    Accessed
    August 18, 2026
  22. 22
    Street Needs to be Plowed

    Used for: South Bend snow response prioritizes main routes; the city targets all streets safely drivable within 36 hours after snowfall ends and does not plow alleys

    Publisher
    City of South Bend 311 Service Portal
    Data period
    Current snow-response guidance accessed August 18, 2026
    Scope
    City of South Bend streets and alleys
    Locator
    Main-route prioritization, 36-hour target, and alley responsibility
    Source tier
    Tier 1 · government
    Accessed
    August 18, 2026
  23. 23
    Impact of Frozen Soil

    Used for: Purdue Extension reported frozen soil deeper than 12 inches in many northern Indiana locations during winter 2024-25 and noted frozen ground can limit infiltration and percolation

    Publisher
    Purdue Extension, Elkhart County
    Published
    February 27, 2025
    Data period
    Winter 2024-2025 Michiana / northern Indiana conditions
    Scope
    Michiana and northern Indiana
    Locator
    Frozen-soil depth, infiltration limits, and freeze-thaw discussion
    Source tier
    Tier 2 · academic and extension research
    Accessed
    August 18, 2026
  24. 24
    County Business Patterns: 2023
    Publisher
    U.S. Census Bureau
    Published
    June 26, 2025
    Data period
    Calendar year 2023
    Scope
    County, MSA, and ZIP Code business establishments by NAICS
    Locator
    Dataset scope and establishment-count methodology
    Source tier
    Tier 1 · government
    Accessed
    August 18, 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.

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