Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in Knoxville, Tennessee

Compare 14 franchise concepts in Knoxville and see how $15.31/hour food preparation and serving mean hourly wage shaped local-alignment scores.

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: 0.10.0

Bottom line

City Wide Facility Solutions ranks first among the concepts assessed for Knoxville, Tennessee

We compared 14 franchise concepts against Knoxville's local operating conditions. The Knoxville, TN Metropolitan Statistical Area local condition created one of the strongest positive local signals for concepts exposed to low local occupational wage cost environment. [9] Knoxville's 46.6% owner-occupied housing share created one of the more important local constraints for concepts exposed to low homeownership concentration. [1] [2]

City Wide Facility Solutions scored 70.60. It leads JAN-PRO International by 0.04 points. The documented multifamily housing share in Knoxville is 41.5% of housing units in structures with 2+ units. For City Wide Facility Solutions, this was the largest positive contribution, adding 0.33 points through multifamily housing concentration. [6] [28] The model applied its general operating-friction guardrail at 0.10 points. The largest direct difference versus JAN-PRO International came from Knoxville's professional referral ecosystem, which contributed 0.00 points to City Wide Facility Solutions versus +0.23 points to JAN-PRO International. [41] [42]

Evidence chain
  • Local condition: Knoxville's multifamily housing concentration. [6] [28]
  • Why it matters to this model: City Wide Facility Solutions's operating model targets property managers or facility decision-makers, giving it direct exposure to multifamily housing concentration.
  • Modeled consequence: The model assigned +0.33 points through multifamily housing concentration.

What this means: this is a deterministic comparison of documented local conditions against resolved operating-model exposures. It is not an earnings forecast, investment recommendation, or franchise-quality rating.

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 scoring values use two decimal places. Identical displayed scores can therefore have different ranks, and close results should be treated as effectively similar.
RankFranchiseAlignment and tierLargest advantageLargest constraintEvidence confidence
1City Wide Facility SolutionsIntegrated Facility Management
70.60Tier 3 · Mixed modeled alignment
+0.33 pts41.5% of housing units in structures with 2+ units multifamily… -0.10 ptsgeneral operating-friction guardrail Moderate evidence confidence
2JAN-PRO InternationalFranchise Consulting TrainingInvestment: $130,000–$421,500 Item 7 source
70.57Tier 3 · Mixed modeled alignment
+0.23 ptsAAGK comprises apartment owners and managers, communities, and… -0.10 ptsgeneral operating-friction guardrail Moderate evidence confidence
3FASTSIGNSSigns & GraphicsInvestment: $231,226–$386,285 Item 7 source
70.37Tier 3 · Mixed modeled alignment
+0.31 pts397 permits building permits issued -0.28 pts1.9% industrial vacancy rate Moderate evidence confidence
4ActionCOACHBusiness CoachingInvestment: $71,668–$303,513 Item 7 source
70.29Tier 3 · Mixed modeled alignment
+0.28 ptsAAGK comprises apartment owners and managers, communities, and… -0.10 ptsgeneral operating-friction guardrail Moderate evidence confidence
5Pillar To Post Home InspectorsHome InspectionInvestment: $102,690–$134,290 Item 7 source
70.03Tier 3 · Mixed modeled alignment
+0.65 pts18.3% moved within the prior year recent-mover share -1.12 pts46.6% owner-occupied housing share Moderate evidence confidence
6Rainbow International RestorationProperty RestorationInvestment: $185,336–$351,900 Item 7 source
69.53Tier 3 · Mixed modeled alignment
+0.27 pts$15.31/hour food preparation and serving mean hourly wage -0.75 pts46.6% owner-occupied housing share Moderate evidence confidence
7PuroCleanProperty RestorationInvestment: $54,575–$262,145 Item 7 source
69.41Tier 3 · Mixed modeled alignment
+0.27 pts$15.31/hour food preparation and serving mean hourly wage -0.75 pts46.6% owner-occupied housing share Moderate evidence confidence
8Tiger AdjustersPublic Adjusting & Claims AdvocacyInvestment: $43,050–$159,500 Item 7 source
69.36Tier 3 · Mixed modeled alignment
+0.15 pts$15.31/hour food preparation and serving mean hourly wage -1.00 pts46.6% owner-occupied housing share Moderate evidence confidence
9Workout AnytimeFull-Service FitnessInvestment: $1,060,850–$1,840,550 Item 7 source
69.13Tier 3 · Mixed modeled alignment
+0.41 pts22.2% ages 20-29 young-adult share age 20-29 -0.94 ptsAll work that disturbs or changes land requires a City of Knoxville… Moderate evidence confidence
10ZOOM DRAINPlumbing & Drain ServicesInvestment: $266,250–$570,500 Item 7 source
68.94Tier 3 · Mixed modeled alignment
+0.40 pts$15.31/hour food preparation and serving mean hourly wage -1.12 pts46.6% owner-occupied housing share Moderate evidence confidence

View all 14 score calculations

Cross-concept impact analysis

The local conditions that moved scores most

A city condition changes a franchise score only when it intersects with a relevant operating-model exposure. The center shows average effect when applied; the surrounding ring shows how broadly that relationship reached across the concepts assessed.

Most impactful relationship #2
Local condition$15.31/hour food preparation and serving…
Operating exposureLow local occupational wage cost environment
13 of 14 concepts affected93% of concepts assessed
Aire ServMr. RooterZOOM DRAINMister Sparky Electric+9
Most impactful relationship #3
Local condition1.9% industrial vacancy rate
Operating exposureAvailable industrial inventory is the wro…
7 of 14 concepts affected50% of concepts assessed
Mr. RooterAire ServPuroCleanFASTSIGNS+3
Most impactful relationship #4
Local condition52.1%Detached single-family housing share
Operating exposureLow detached single-family housing share
5 of 14 concepts affected36% of concepts assessed
HomeSmilesAire ServZOOM DRAINMr. Rooter+1
Most impactful relationship #5
Local conditionAll work that disturbs or changes land re…
Operating exposurePermit-process friction and noncompliance…
2 of 14 concepts affected14% of concepts assessed
Workout AnytimeFASTSIGNS
Details for 46.6% owner-occupied housing share × Low homeownership concentration
Relationship #146.6% owner-occupied housing share Low homeownership concentration
Knoxville evidence46.6% [1] [2]
Tennessee
66.9%
Difference
-20.3 percentage points
Model exposureLow homeownership concentration

Most relevant modeled attributes: homeownership dependency.

Average effect-1.07 ptsTotal absolute modeled influence9.597 ptsLargest single effect-1.37 ptsEvidence confidenceHigh
Effect across concepts
Mister Sparky ElectricElectrical Services-1.37 pts
HomeSmilesRecurring Property Maintenance-1.24 pts
Pillar To Post Home InspectorsHome Inspection-1.12 pts
Aire ServHVAC-1.12 pts
ZOOM DRAINPlumbing & Drain Services-1.12 pts
Mr. RooterPlumbing & Drain Services-1.12 pts
Tiger AdjustersPublic Adjusting & Claims Advocacy-1.00 pts
PuroCleanProperty Restoration-0.75 pts
Rainbow International RestorationProperty Restoration-0.75 pts
Selected by total absolute modeled influence across affected concepts.Open evidence chain
Details for $15.31/hour food preparation and serving mean hourly wage × Low local occupational wage cost environment
Relationship #2$15.31/hour food preparation and serving mean hourly wage Low local occupational wage cost environment
Knoxville evidencethe Knoxville, TN Metropolitan Statistical Area local condition
Model exposureLow local occupational wage cost environment

Most relevant modeled attributes: skilled trade labor, technical labor, and administrative labor.

Average effect+0.26 ptsTotal absolute modeled influence3.370 ptsLargest single effect+0.41 ptsEvidence confidenceHigh
Effect across concepts
Aire ServHVAC+0.41 pts
Mr. RooterPlumbing & Drain Services+0.40 pts
ZOOM DRAINPlumbing & Drain Services+0.40 pts
Mister Sparky ElectricElectrical Services+0.34 pts
HomeSmilesRecurring Property Maintenance+0.32 pts
Pillar To Post Home InspectorsHome Inspection+0.29 pts
PuroCleanProperty Restoration+0.27 pts
Rainbow International RestorationProperty Restoration+0.27 pts
FASTSIGNSSigns & Graphics+0.18 pts
Workout AnytimeFull-Service Fitness+0.15 pts
Tiger AdjustersPublic Adjusting & Claims Advocacy+0.15 pts
City Wide Facility SolutionsIntegrated Facility Management+0.10 pts
JAN-PRO InternationalFranchise Consulting Training+0.07 pts
Selected by total absolute modeled influence across affected concepts.Open evidence chain
Details for 1.9% industrial vacancy rate × Available industrial inventory is the wrong size/type
Relationship #31.9% industrial vacancy rate Available industrial inventory is the wrong size/type
Knoxville evidencethe Knoxville, TN Metropolitan Statistical Area local condition
Model exposureAvailable industrial inventory is the wrong size/type

Most relevant modeled attributes: light industrial space and commercial vehicle parking dependency.

Average effect-0.30 ptsTotal absolute modeled influence2.084 ptsLargest single effect-0.47 ptsEvidence confidenceModerate
Effect across concepts
Mr. RooterPlumbing & Drain Services-0.47 pts
Aire ServHVAC-0.36 pts
PuroCleanProperty Restoration-0.36 pts
FASTSIGNSSigns & Graphics-0.28 pts
ZOOM DRAINPlumbing & Drain Services-0.26 pts
Rainbow International RestorationProperty Restoration-0.21 pts
Mister Sparky ElectricElectrical Services-0.14 pts
Selected by total absolute modeled influence across affected concepts.Open evidence chain
Details for 52.1% of occupied housing units detached single-family housing share × Low detached single-family housing share
Relationship #452.1% of occupied housing units detached single-family housing share Low detached single-family housing share
Knoxville evidence52.1% of occupied housing units [5] [6]
United States
62.2%
Difference
-10.1 percentage points
Model exposureLow detached single-family housing share

Most relevant modeled attributes: single family detached dependency.

Average effect-0.27 ptsTotal absolute modeled influence1.329 ptsLargest single effect-0.40 ptsEvidence confidenceHigh
Effect across concepts
HomeSmilesRecurring Property Maintenance-0.40 pts
Aire ServHVAC-0.24 pts
ZOOM DRAINPlumbing & Drain Services-0.24 pts
Mr. RooterPlumbing & Drain Services-0.24 pts
Mister Sparky ElectricElectrical Services-0.20 pts
Selected by total absolute modeled influence across affected concepts.Open evidence chain
Details for All work that disturbs or changes land requires a City of Knoxville site development permit × Permit-process friction and noncompliance penalties
Relationship #5All work that disturbs or changes land requires a City of Knoxville site development permit Permit-process friction and noncompliance penalties
Knoxville evidenceKnoxville's permit-process friction and noncompliance penalties
Model exposurePermit-process friction and noncompliance penalties

Most relevant modeled attributes: high buildout requirement and customer facing fixed location.

Average effect-0.54 ptsTotal absolute modeled influence1.074 ptsLargest single effect-0.94 ptsEvidence confidenceHigh
Effect across concepts
Workout AnytimeFull-Service Fitness-0.94 pts
FASTSIGNSSigns & Graphics-0.14 pts
Selected by total absolute modeled influence across affected concepts.Open evidence chain

Modeled evidence traces

Why the same Knoxville conditions affect franchise models differently

Each trace follows one documented local condition through resolved operating-model exposure, exact score contribution, and the resulting modeled difference. Open either image for the full-size analytical view.

Why the ranking came out this way

Why the top concepts are nearly tied

The comparison, score path, and counterfactual below all use the same contribution ledger as the published ranking.

Head-to-head

City Wide Facility Solutions vs. JAN-PRO International

The modeled gap is small enough that the two concepts should be treated as a leading cluster rather than a decisive first and second place.

Modeled gap: +0.04 pts
Modeled relationshipCity Wide Facility SolutionsJAN-PRO InternationalDifference
AAGK comprises apartment owners and managers, communities, and vendors serving multifamily housing in Knox and surrounding counties. aAGK multifamily professional audience [41] [42]0.00 pts+0.23 pts-0.23 pts
41.5% of housing units in structures with 2+ units multifamily housing share [6] [28]+0.33 pts+0.23 pts+0.10 pts
53.4% renter-occupied housing share [1] [2]+0.15 pts+0.09 pts+0.06 pts

Knoxville's professional referral ecosystem created the largest modeled gap in this head-to-head: 0.00 points for City Wide Facility Solutions versus +0.23 points for JAN-PRO International. [41] [42]

How to interpret the leading cluster

City Wide Facility Solutions, JAN-PRO International, and FASTSIGNS gained more than the rest of the field from multifamily housing concentration and Knoxville, TN Metropolitan Statistical Area through target-market demand. The ordering is assumption-sensitive for City Wide Facility Solutions and FASTSIGNS when individual factors are neutralized and the model is rerun. The same city condition can help one operating model while constraining another, so this ranking describes local operating alignment rather than universal franchise quality. [6] [28] [13]

Contribution path

Contribution path for City Wide Facility Solutions

Baseline70.00Final70.60Net change+0.60 pts
Scored local driverRelationship effectScore after driver
41.5% of housing units in structures with 2+ units multifamily housing share [6] [28]Multifamily housing concentration
+0.33 pts
70.33
53.4% renter-occupied housing share [1] [2]High renter-household concentration
+0.15 pts
70.48
3,630,410 passengers mcGhee Tyson Airport annual passengers [13]Airport and aviation activity concentration
+0.12 pts
70.60
$15.31/hour food preparation and serving mean hourly wage [9]Low local occupational wage cost environment
+0.10 pts
70.70
general operating-friction guardrailGeneral operating friction
-0.10 pts
70.60
View the full score ledger for City Wide Facility Solutions

Full score ledger

Every factor is classified. Factor values here are net totals; the score-changing relationship table above preserves material positive and negative drivers even when they offset inside the same factor.

Neutral model baseline70.00
Target-market demand+0.60
Property replacement-cycle demandNot included in the score
Competitive environmentNot included in the score
Labor and staffing friction+0.10
Transportation, routing, and parkingPotential candidate-specific adjustment
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystemNot applicable to this operating model
Territory qualityNot included in the score
Regulatory and operating friction-0.10
Full-precision calculated score70.603
Published local-market alignment70.60

Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.

14Concepts evaluated
46Local sources used
37Primary local sources
14Local 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 the available operating-model evidence supported a deterministic local-sensitivity profile. Brand participation in our referral network does not affect the score.

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)Property Restoration

69.47 average across 2 concepts

Largest positive factorLabor and staffing friction

0.26 points average among 13 affected concepts

Largest negative factorTarget-market demand

0.51 points average reduction among 14 affected concepts

Most assumption-sensitive rankFASTSIGNS

Tested rank range spans 12 positions

Conditions that changed the analysis

What mattered most in Knoxville, Tennessee

01

Low local occupational wage cost environment

This relationship affected 13 concepts and added 0.26 points on average among those exposed. [9]

02

Low homeownership concentration

This relationship affected 9 concepts and reduced 1.07 points on average among those exposed. Local evidence: 46.6% owner-occupied housing share. [1] [2]

Evidence behind the city mechanisms

Low homeownership concentration1 local fact · 1 modeled effect · 2 sources
Low homeownership concentrationTarget-market demand
  • 46.6% owner-occupied housing share [1] [2]
Multifamily housing concentration1 modeled effect
Multifamily housing concentrationTarget-market demand
Construction and renovation activity1 modeled effect
Construction and renovation activityTarget-market demand
Permit-process friction and noncompliance penalties1 modeled effect
Permit-process friction and noncompliance penaltiesRegulatory and operating friction
Professional referral ecosystem1 modeled effect
Professional referral ecosystemReferral ecosystem

Compare all assessed concepts

Local impact by franchise concept

14 concepts shown. Expand a concept to see every material score-changing relationship, with factor net shown only as secondary context; the full audit ledger stays collapsed.

#1Tier 3 · Mixed modeled alignment70.60

City Wide Facility Solutions

Integrated Facility Management · sales-led B2B integrated facility-management coordinator

Advantage +0.33 pts 41.5% of housing units in structures with 2+ units multifamily…Constraint -0.10 pts general operating-friction guardrail

Rank sensitivity: Highly sensitive

Why it ranks here

Score-changing local relationships are grouped by factor. Each factor subtotal shows the net contribution after model controls.

Baseline70.00
Advantages+0.70 pts
Constraints-0.10 pts
Net local movement+0.603 pts
Final score70.60

5 material local relationships changed this score: 4 advantages and 1 constraint.

Largest individual score driver41.5% of housing units in structures with 2+ units multifamily housing share+0.33 pts
Factor

Target-market demand

Factor subtotal+0.60 pts
Scored local driverEffectEvidence
41.5% of housing units in structures with 2+ units multifamily housing shareLargest driverRelationship test: Rank #1 to #2 without this driver.+0.33 ptsModerateEvidence
53.4% renter-occupied housing share+0.15 ptsHighEvidence
3,630,410 passengers mcGhee Tyson Airport annual passengers+0.12 ptsModerateEvidence
Factor

Labor and staffing friction

Factor subtotal+0.10 pts
Scored local driverEffectEvidence
$15.31/hour food preparation and serving mean hourly wage+0.10 ptsHighEvidence
Factor

Regulatory and operating friction

Factor subtotal-0.10 pts
Scored local driverEffectEvidence
general operating-friction guardrail-0.10 ptsModerateEvidence
Overall local score movement+0.603 ptsThis is the accounting total after all factor subtotals and model controls.
Potential candidate-specific adjustmentsThese relationships depend on territory, site, customer mix, project, or another candidate-specific selection. They stay outside the baseline city score until that selection is known; the model should then be rerun to produce the candidate-adjusted score.
Potential candidate constraintInstitutional procurement and vendor-onboarding frictionReferral ecosystem
Evidence: HighEvidence

Applicability depends on the selected procurement jurisdiction

Potential candidate constraintInstitutional procurement and vendor-onboarding frictionReferral ecosystem
Evidence: HighEvidence

Applicability depends on the selected procurement jurisdiction

Relationship effects are shown individually. Factor net values are secondary subtotals. Any scored relationship below the public materiality threshold is reconciled in the accounting residual.

Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified. Factor values here are net totals; the score-changing relationship table above preserves material positive and negative drivers even when they offset inside the same factor.

Neutral model baseline70.00
Target-market demand+0.60
Property replacement-cycle demandNot included in the score
Competitive environmentNot included in the score
Labor and staffing friction+0.10
Transportation, routing, and parkingPotential candidate-specific adjustment
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystemNot applicable to this operating model
Territory qualityNot included in the score
Regulatory and operating friction-0.10
Full-precision calculated score70.603
Published local-market alignment70.60

Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Limited
Franchise-profile completeness
Strong
Source-evidence confidence
Strong
Geographic applicability
Strong
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +0.60 pts
Tested rank range
#1–#10
#2Tier 3 · Mixed modeled alignment70.57

JAN-PRO International

Franchise Consulting Training · regional franchisor business support and commercial account development office

Initial investment: $130,000–$421,500 · Item 7 evidence below

Advantage +0.23 pts AAGK comprises apartment owners and managers, communities, and…Constraint -0.10 pts general operating-friction guardrail

Rank sensitivity: Stable

Why it ranks here

Score-changing local relationships are grouped by factor. Each factor subtotal shows the net contribution after model controls.

Baseline70.00
Advantages+0.71 pts
Constraints-0.15 pts
Net local movement+0.566 pts
Final score70.57

6 material local relationships changed this score: 5 advantages and 1 constraint. 1 additional scored relationship fell below the public row threshold and reconcile to -0.049 pts.

Largest individual score driverAAGK comprises apartment owners and managers, communities, and vendors serving multifamily housing in Knox and surrounding counties. aAGK multifamily professional audience+0.23 pts
Factor

Target-market demand

Factor subtotal+0.36 pts
Scored local driverEffectEvidence
41.5% of housing units in structures with 2+ units multifamily housing share+0.23 ptsModerateEvidence
53.4% renter-occupied housing share+0.09 ptsHighEvidence
3,630,410 passengers mcGhee Tyson Airport annual passengers+0.09 ptsModerateEvidence
Factor

Referral ecosystem

Factor subtotal+0.23 pts
Scored local driverEffectEvidence
AAGK comprises apartment owners and managers, communities, and vendors serving multifamily housing in Knox and surrounding counties. aAGK multifamily professional audienceLargest driverRelationship test: Rank #2 to #3 without this driver.+0.23 ptsHighEvidence
Factor

Regulatory and operating friction

Factor subtotal-0.10 pts
Scored local driverEffectEvidence
general operating-friction guardrail-0.10 ptsModerateEvidence
Factor

Labor and staffing friction

Factor subtotal+0.07 pts
Scored local driverEffectEvidence
$15.31/hour food preparation and serving mean hourly wage+0.07 ptsHighEvidence
Overall local score movement+0.566 ptsThis is the accounting total after all factor subtotals and model controls.
Potential candidate-specific adjustmentsThese relationships depend on territory, site, customer mix, project, or another candidate-specific selection. They stay outside the baseline city score until that selection is known; the model should then be rerun to produce the candidate-adjusted score.
Potential candidate constraintInstitutional procurement and vendor-onboarding frictionReferral ecosystem
Evidence: HighEvidence

Applicability depends on the selected procurement jurisdiction

Potential candidate constraintInstitutional procurement and vendor-onboarding frictionReferral ecosystem
Evidence: HighEvidence

Applicability depends on the selected procurement jurisdiction

Relationship effects are shown individually. Factor net values are secondary subtotals. Any scored relationship below the public materiality threshold is reconciled in the accounting residual.

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. Factor values here are net totals; the score-changing relationship table above preserves material positive and negative drivers even when they offset inside the same factor.

Neutral model baseline70.00
Target-market demand+0.36
Property replacement-cycle demandNot included in the score
Competitive environmentNot included in the score
Labor and staffing friction+0.07
Transportation, routing, and parkingPotential candidate-specific adjustment
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.23
Territory qualityNot included in the score
Regulatory and operating friction-0.10
Full-precision calculated score70.566
Published local-market alignment70.57

Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Limited
Franchise-profile completeness
Strong
Source-evidence confidence
Strong
Geographic applicability
Strong
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +0.36 pts
Tested rank range
#2–#3
#3Tier 3 · Mixed modeled alignment70.37

FASTSIGNS

Signs & Graphics · b2b fixed center sign graphics production sales and installation

Initial investment: $231,226–$386,285 · Item 7 evidence below

Advantage +0.31 pts 397 permits building permits issuedConstraint -0.28 pts 1.9% industrial vacancy rate

Rank sensitivity: Highly sensitive

Why it ranks here

Score-changing local relationships are grouped by factor. Each factor subtotal shows the net contribution after model controls.

Baseline70.00
Advantages+0.79 pts
Constraints-0.42 pts
Net local movement+0.374 pts
Final score70.37

7 material local relationships changed this score: 5 advantages and 2 constraints.

Largest individual score driver397 permits building permits issued+0.31 pts
Factor

Target-market demand

Factor subtotal+0.61 pts
Scored local driverEffectEvidence
397 permits building permits issuedLargest driverRelationship test: Rank #3 to #4 without this driver.+0.31 ptsModerateEvidence
41.5% of housing units in structures with 2+ units multifamily housing share+0.17 ptsModerateEvidence
53.4% renter-occupied housing share+0.07 ptsHighEvidence
3,630,410 passengers mcGhee Tyson Airport annual passengers+0.06 ptsModerateEvidence
Factor

Real estate and site feasibility

Factor subtotal-0.28 pts
Scored local driverEffectEvidence
1.9% industrial vacancy rate-0.28 ptsModerateEvidence
Factor

Labor and staffing friction

Factor subtotal+0.18 pts
Scored local driverEffectEvidence
$15.31/hour food preparation and serving mean hourly wage+0.18 ptsHighEvidence
Factor

Regulatory and operating friction

Factor subtotal-0.14 pts
Scored local driverEffectEvidence
All work that disturbs or changes land requires a City of Knoxville site development permit. site-development permit required for land disturbance-0.14 ptsHighEvidence
Overall local score movement+0.374 ptsThis is the accounting total after all factor subtotals and model controls.
Potential candidate-specific adjustmentsThese relationships depend on territory, site, customer mix, project, or another candidate-specific selection. They stay outside the baseline city score until that selection is known; the model should then be rerun to produce the candidate-adjusted score.
Potential candidate constraintInstitutional procurement and vendor-onboarding frictionReferral ecosystem
Evidence: HighEvidence

Applicability depends on the selected procurement jurisdiction

Potential candidate constraintInstitutional procurement and vendor-onboarding frictionReferral ecosystem
Evidence: HighEvidence

Applicability depends on the selected procurement jurisdiction

Relationship effects are shown individually. Factor net values are secondary subtotals. Any scored relationship below the public materiality threshold is reconciled in the accounting residual.

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
Additional brand source material assessed
3 sources
Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified. Factor values here are net totals; the score-changing relationship table above preserves material positive and negative drivers even when they offset inside the same factor.

Neutral model baseline70.00
Target-market demand+0.61
Property replacement-cycle demandNot included in the score
Competitive environmentNot included in the score
Labor and staffing friction+0.18
Transportation, routing, and parkingPotential candidate-specific adjustment
Real estate and site feasibility-0.28
Sales and customer acquisitionNot included in the score
Referral ecosystemNot applicable to this operating model
Territory qualityNot included in the score
Regulatory and operating friction-0.14
Full-precision calculated score70.374
Published local-market alignment70.37

Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Limited
Franchise-profile completeness
Strong
Source-evidence confidence
Strong
Geographic applicability
Strong
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +0.61 pts
Tested rank range
#1–#13
#4Tier 3 · Mixed modeled alignment70.29

ActionCOACH

Business Coaching · home-based B2B business coaching and executive advisory franchise

Initial investment: $71,668–$303,513 · Item 7 evidence below

Advantage +0.28 pts AAGK comprises apartment owners and managers, communities, and…Constraint -0.10 pts general operating-friction guardrail

Rank sensitivity: Moderately sensitive

Why it ranks here

Score-changing local relationships are grouped by factor. Each factor subtotal shows the net contribution after model controls.

Baseline70.00
Advantages+0.39 pts
Constraints-0.10 pts
Net local movement+0.288 pts
Final score70.29

3 material local relationships changed this score: 2 advantages and 1 constraint. 1 additional scored relationship fell below the public row threshold and reconcile to +0.034 pts.

Largest individual score driverAAGK comprises apartment owners and managers, communities, and vendors serving multifamily housing in Knox and surrounding counties. aAGK multifamily professional audience+0.28 pts
Factor

Referral ecosystem

Factor subtotal+0.28 pts
Scored local driverEffectEvidence
AAGK comprises apartment owners and managers, communities, and vendors serving multifamily housing in Knox and surrounding counties. aAGK multifamily professional audienceLargest driverRelationship test: Rank stays #4 without this driver.+0.28 ptsHighEvidence
Factor

Regulatory and operating friction

Factor subtotal-0.10 pts
Scored local driverEffectEvidence
general operating-friction guardrail-0.10 ptsModerateEvidence
Factor

Target-market demand

Factor subtotal+0.11 pts
Scored local driverEffectEvidence
41.5% of housing units in structures with 2+ units multifamily housing share+0.08 ptsModerateEvidence
Overall local score movement+0.288 ptsThis is the accounting total after all factor subtotals and model controls.
Potential candidate-specific adjustmentsThese relationships depend on territory, site, customer mix, project, or another candidate-specific selection. They stay outside the baseline city score until that selection is known; the model should then be rerun to produce the candidate-adjusted score.
Potential candidate constraintInstitutional procurement and vendor-onboarding frictionReferral ecosystem
Evidence: HighEvidence

Applicability depends on the selected procurement jurisdiction

Potential candidate constraintInstitutional procurement and vendor-onboarding frictionReferral ecosystem
Evidence: HighEvidence

Applicability depends on the selected procurement jurisdiction

Relationship effects are shown individually. Factor net values are secondary subtotals. Any scored relationship below the public materiality threshold is reconciled in the accounting residual.

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. Factor values here are net totals; the score-changing relationship table above preserves material positive and negative drivers even when they offset inside the same factor.

Neutral model baseline70.00
Target-market demand+0.11
Property replacement-cycle demandNot included in the score
Competitive environmentNot included in the score
Labor and staffing frictionNot applicable to this operating model
Transportation, routing, and parkingPotential candidate-specific adjustment
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.28
Territory qualityNot included in the score
Regulatory and operating friction-0.10
Full-precision calculated score70.288
Published local-market alignment70.29

Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Limited
Franchise-profile completeness
Strong
Source-evidence confidence
Strong
Geographic applicability
Strong
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Referral ecosystem +0.28 pts
Tested rank range
#3–#5
#5Tier 3 · Mixed modeled alignment70.03

Pillar To Post Home Inspectors

Home Inspection · transaction-linked mobile home-inspection service with executive multi-inspector ownership

Initial investment: $102,690–$134,290 · Item 7 evidence below

Advantage +0.65 pts 18.3% moved within the prior year recent-mover shareConstraint -1.12 pts 46.6% owner-occupied housing share

Rank sensitivity: Highly sensitive

Why it ranks here

Score-changing local relationships are grouped by factor. Each factor subtotal shows the net contribution after model controls.

Baseline70.00
Advantages+1.19 pts
Constraints-1.16 pts
Net local movement+0.031 pts
Final score70.03

5 material local relationships changed this score: 4 advantages and 1 constraint. 1 additional scored relationship fell below the public row threshold and reconcile to -0.041 pts.

Largest individual score driver46.6% owner-occupied housing share-1.12 pts
Factor

Target-market demand

Factor subtotal-0.41 pts
Scored local driverEffectEvidence
46.6% owner-occupied housing shareLargest driverRelationship test: Rank #5 to #1 without this driver.-1.12 ptsHighEvidence
18.3% moved within the prior year recent-mover share+0.65 ptsHighEvidence
397 permits building permits issued+0.10 ptsModerateEvidence
Factor

Labor and staffing friction

Factor subtotal+0.29 pts
Scored local driverEffectEvidence
$15.31/hour food preparation and serving mean hourly wage+0.29 ptsHighEvidence
Factor

Referral ecosystem

Factor subtotal+0.14 pts
Scored local driverEffectEvidence
AAGK comprises apartment owners and managers, communities, and vendors serving multifamily housing in Knox and surrounding counties. aAGK multifamily professional audience+0.14 ptsHighEvidence
Overall local score movement+0.031 ptsThis is the accounting total after all factor subtotals and model controls.
Potential candidate-specific adjustmentsThese relationships depend on territory, site, customer mix, project, or another candidate-specific selection. They stay outside the baseline city score until that selection is known; the model should then be rerun to produce the candidate-adjusted score.
Potential candidate advantageReal-estate professional referral ecosystemReferral ecosystem
Evidence: HighEvidence

Applicability depends on the selected submarket

Relationship effects are shown individually. Factor net values are secondary subtotals. Any scored relationship below the public materiality threshold is reconciled in the accounting residual.

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
Additional brand source material assessed
2 sources
Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified. Factor values here are net totals; the score-changing relationship table above preserves material positive and negative drivers even when they offset inside the same factor.

Neutral model baseline70.00
Target-market demand-0.41
Property replacement-cycle demandNot included in the score
Competitive environmentNot included in the score
Labor and staffing friction+0.29
Transportation, routing, and parkingPotential candidate-specific adjustment
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.14
Territory qualityNot included in the score
Regulatory and operating frictionNot applicable to this operating model
Full-precision calculated score70.031
Published local-market alignment70.03

Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Limited
Franchise-profile completeness
Strong
Source-evidence confidence
Strong
Geographic applicability
Strong
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand -0.41 pts
Tested rank range
#1–#6
#6Tier 3 · Mixed modeled alignment69.53

Rainbow International Restoration

Property Restoration · emergency property restoration and remediation

Initial investment: $185,336–$351,900 · Item 7 evidence below

Advantage +0.27 pts $15.31/hour food preparation and serving mean hourly wageConstraint -0.75 pts 46.6% owner-occupied housing share

Rank sensitivity: Moderately sensitive

Why it ranks here

Score-changing local relationships are grouped by factor. Each factor subtotal shows the net contribution after model controls.

Baseline70.00
Advantages+0.49 pts
Constraints-0.96 pts
Net local movement-0.468 pts
Final score69.53

4 material local relationships changed this score: 2 advantages and 2 constraints. 2 additional scored relationships fell below the public row threshold and reconcile to +0.090 pts.

Largest individual score driver46.6% owner-occupied housing share-0.75 pts
Factor

Target-market demand

Factor subtotal-0.53 pts
Scored local driverEffectEvidence
46.6% owner-occupied housing shareLargest driverRelationship test: Rank #6 to #4 without this driver.-0.75 ptsHighEvidence
53.4% renter-occupied housing share+0.13 ptsHighEvidence
Factor

Labor and staffing friction

Factor subtotal+0.27 pts
Scored local driverEffectEvidence
$15.31/hour food preparation and serving mean hourly wage+0.27 ptsHighEvidence
Factor

Real estate and site feasibility

Factor subtotal-0.21 pts
Scored local driverEffectEvidence
1.9% industrial vacancy rate-0.21 ptsModerateEvidence
Overall local score movement-0.468 ptsThis is the accounting total after all factor subtotals and model controls.
Potential candidate-specific adjustmentsThese relationships depend on territory, site, customer mix, project, or another candidate-specific selection. They stay outside the baseline city score until that selection is known; the model should then be rerun to produce the candidate-adjusted score.
Potential candidate advantageContractor and trade referral ecosystemReferral ecosystem
Evidence: HighEvidence

Applicability depends on the selected submarket

Potential candidate constraintCorridor or highway construction disruptionTransportation, routing, and parking
Evidence: HighEvidence

Applicability depends on the selected corridor

Potential candidate constraintInstitutional procurement and vendor-onboarding frictionReferral ecosystem
Evidence: HighEvidence

Applicability depends on the selected procurement jurisdiction

Potential candidate constraintInstitutional procurement and vendor-onboarding frictionReferral ecosystem
Evidence: HighEvidence

Applicability depends on the selected procurement jurisdiction

Relationship effects are shown individually. Factor net values are secondary subtotals. Any scored relationship below the public materiality threshold is reconciled in the accounting residual.

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. Factor values here are net totals; the score-changing relationship table above preserves material positive and negative drivers even when they offset inside the same factor.

Neutral model baseline70.00
Target-market demand-0.53
Property replacement-cycle demandNot included in the score
Competitive environmentNot included in the score
Labor and staffing friction+0.27
Transportation, routing, and parkingPotential candidate-specific adjustment
Real estate and site feasibility-0.21
Sales and customer acquisitionNot included in the score
Referral ecosystemNot applicable to this operating model
Territory qualityNot included in the score
Regulatory and operating frictionNot applicable to this operating model
Full-precision calculated score69.532
Published local-market alignment69.53

Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Limited
Franchise-profile completeness
Strong
Source-evidence confidence
Strong
Geographic applicability
Strong
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand -0.53 pts
Tested rank range
#6–#8
#7Tier 3 · Mixed modeled alignment69.41

PuroClean

Property Restoration · mobile emergency property-restoration and remediation operator with insurance, property-manager and commercial-account…

Initial investment: $54,575–$262,145 · Item 7 evidence below

Advantage +0.27 pts $15.31/hour food preparation and serving mean hourly wageConstraint -0.75 pts 46.6% owner-occupied housing share

Rank sensitivity: Highly sensitive

Why it ranks here

Score-changing local relationships are grouped by factor. Each factor subtotal shows the net contribution after model controls.

Baseline70.00
Advantages+0.51 pts
Constraints-1.11 pts
Net local movement-0.594 pts
Final score69.41

5 material local relationships changed this score: 3 advantages and 2 constraints. 1 additional scored relationship fell below the public row threshold and reconcile to +0.044 pts.

Largest individual score driver46.6% owner-occupied housing share-0.75 pts
Factor

Target-market demand

Factor subtotal-0.51 pts
Scored local driverEffectEvidence
46.6% owner-occupied housing shareLargest driverRelationship test: Rank stays #7 without this driver.-0.75 ptsHighEvidence
53.4% renter-occupied housing share+0.13 ptsHighEvidence
41.5% of housing units in structures with 2+ units multifamily housing share+0.06 ptsModerateEvidence
Factor

Real estate and site feasibility

Factor subtotal-0.36 pts
Scored local driverEffectEvidence
1.9% industrial vacancy rate-0.36 ptsModerateEvidence
Factor

Labor and staffing friction

Factor subtotal+0.27 pts
Scored local driverEffectEvidence
$15.31/hour food preparation and serving mean hourly wage+0.27 ptsHighEvidence
Overall local score movement-0.594 ptsThis is the accounting total after all factor subtotals and model controls.
Potential candidate-specific adjustmentsThese relationships depend on territory, site, customer mix, project, or another candidate-specific selection. They stay outside the baseline city score until that selection is known; the model should then be rerun to produce the candidate-adjusted score.
Potential candidate advantageContractor and trade referral ecosystemReferral ecosystem
Evidence: HighEvidence

Applicability depends on the selected submarket

Potential candidate constraintInstitutional procurement and vendor-onboarding frictionReferral ecosystem
Evidence: HighEvidence

Applicability depends on the selected procurement jurisdiction

Potential candidate constraintInstitutional procurement and vendor-onboarding frictionReferral ecosystem
Evidence: HighEvidence

Applicability depends on the selected procurement jurisdiction

Potential candidate constraintCorridor or highway construction disruptionTransportation, routing, and parking
Evidence: HighEvidence

Applicability depends on the selected corridor

Relationship effects are shown individually. Factor net values are secondary subtotals. Any scored relationship below the public materiality threshold is reconciled in the accounting residual.

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. Factor values here are net totals; the score-changing relationship table above preserves material positive and negative drivers even when they offset inside the same factor.

Neutral model baseline70.00
Target-market demand-0.51
Property replacement-cycle demandNot included in the score
Competitive environmentNot included in the score
Labor and staffing friction+0.27
Transportation, routing, and parkingPotential candidate-specific adjustment
Real estate and site feasibility-0.36
Sales and customer acquisitionNot included in the score
Referral ecosystemNot applicable to this operating model
Territory qualityNot included in the score
Regulatory and operating frictionNot applicable to this operating model
Full-precision calculated score69.406
Published local-market alignment69.41

Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Limited
Franchise-profile completeness
Strong
Source-evidence confidence
Strong
Geographic applicability
Strong
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand -0.51 pts
Tested rank range
#6–#12
#8Tier 3 · Mixed modeled alignment69.36

Tiger Adjusters

Public Adjusting & Claims Advocacy · home-based regulated property-claims advocacy with field inspection and relationship-led acquisition

Initial investment: $43,050–$159,500 · Item 7 evidence below

Advantage +0.15 pts $15.31/hour food preparation and serving mean hourly wageConstraint -1.00 pts 46.6% owner-occupied housing share

Rank sensitivity: Moderately sensitive

Why it ranks here

Score-changing local relationships are grouped by factor. Each factor subtotal shows the net contribution after model controls.

Baseline70.00
Advantages+0.35 pts
Constraints-1.00 pts
Net local movement-0.642 pts
Final score69.36

4 material local relationships changed this score: 3 advantages and 1 constraint. 1 additional scored relationship fell below the public row threshold and reconcile to +0.042 pts.

Largest individual score driver46.6% owner-occupied housing share-1.00 pts
Factor

Target-market demand

Factor subtotal-0.84 pts
Scored local driverEffectEvidence
46.6% owner-occupied housing shareLargest driverRelationship test: Rank #8 to #5 without this driver.-1.00 ptsHighEvidence
53.4% renter-occupied housing share+0.11 ptsHighEvidence
Factor

Labor and staffing friction

Factor subtotal+0.15 pts
Scored local driverEffectEvidence
$15.31/hour food preparation and serving mean hourly wage+0.15 ptsHighEvidence
Factor

Referral ecosystem

Factor subtotal+0.05 pts
Scored local driverEffectEvidence
AAGK comprises apartment owners and managers, communities, and vendors serving multifamily housing in Knox and surrounding counties. aAGK multifamily professional audience+0.05 ptsHighEvidence
Overall local score movement-0.642 ptsThis is the accounting total after all factor subtotals and model controls.
Potential candidate-specific adjustmentsThese relationships depend on territory, site, customer mix, project, or another candidate-specific selection. They stay outside the baseline city score until that selection is known; the model should then be rerun to produce the candidate-adjusted score.
Potential candidate advantageContractor and trade referral ecosystemReferral ecosystem
Evidence: HighEvidence

Applicability depends on the selected submarket

Relationship effects are shown individually. Factor net values are secondary subtotals. Any scored relationship below the public materiality threshold is reconciled in the accounting residual.

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
Additional brand source material assessed
1 source
Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified. Factor values here are net totals; the score-changing relationship table above preserves material positive and negative drivers even when they offset inside the same factor.

Neutral model baseline70.00
Target-market demand-0.84
Property replacement-cycle demandNot included in the score
Competitive environmentNot included in the score
Labor and staffing friction+0.15
Transportation, routing, and parkingPotential candidate-specific adjustment
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.05
Territory qualityNot included in the score
Regulatory and operating frictionNot applicable to this operating model
Full-precision calculated score69.358
Published local-market alignment69.36

Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Limited
Franchise-profile completeness
Strong
Source-evidence confidence
Strong
Geographic applicability
Strong
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand -0.84 pts
Tested rank range
#7–#9
#9Tier 3 · Mixed modeled alignment69.13

Workout Anytime

Full-Service Fitness · fixed location value priced recurring membership fitness club

Initial investment: $1,060,850–$1,840,550 · Item 7 evidence below

Advantage +0.41 pts 22.2% ages 20-29 young-adult share age 20-29Constraint -0.94 pts All work that disturbs or changes land requires a City of Knoxville…

Rank sensitivity: Highly sensitive

Why it ranks here

Score-changing local relationships are grouped by factor. Each factor subtotal shows the net contribution after model controls.

Baseline70.00
Advantages+0.60 pts
Constraints-1.47 pts
Net local movement-0.873 pts
Final score69.13

6 material local relationships changed this score: 2 advantages and 4 constraints. 2 additional scored relationships fell below the public row threshold.

Largest individual score driverAll work that disturbs or changes land requires a City of Knoxville site development permit. site-development permit required for land disturbance-0.94 pts
Factor

Regulatory and operating friction

Factor subtotal-1.27 pts
Scored local driverEffectEvidence
All work that disturbs or changes land requires a City of Knoxville site development permit. site-development permit required for land disturbanceLargest driverRelationship test: Rank #9 to #5 without this driver.-0.94 ptsHighEvidence
KUB lists a $3,600 standard tap fee for a 2-inch water meter. kUB 2-inch standard water tap fee-0.23 ptsHighEvidence
KUB requires all new or renovated food-service facilities to install and maintain grease-control equipment; KUB determines equipment type and size. kUB grease-control equipment requirement for new or renovated food-service facilities-0.07 ptsHighEvidence
Factor

Target-market demand

Factor subtotal+0.25 pts
Scored local driverEffectEvidence
22.2% ages 20-29 young-adult share age 20-29+0.41 ptsHighEvidence
$54,039 median household income-0.20 ptsHighEvidence
Factor

Labor and staffing friction

Factor subtotal+0.15 pts
Scored local driverEffectEvidence
$15.31/hour food preparation and serving mean hourly wage+0.15 ptsHighEvidence
Overall local score movement-0.873 ptsThis is the accounting total after all factor subtotals and model controls.
Potential candidate-specific adjustmentsThese relationships depend on territory, site, customer mix, project, or another candidate-specific selection. They stay outside the baseline city score until that selection is known; the model should then be rerun to produce the candidate-adjusted score.
Potential candidate constraintWetland, runoff and stormwater mitigation requirementsRegulatory and operating friction
Evidence: HighEvidence

Applicability depends on the selected site specific

Potential candidate constraintHistoric-district or design-review requirementsRegulatory and operating friction
Evidence: HighEvidence

Applicability depends on the selected district

Relationship effects are shown individually. Factor net values are secondary subtotals. Any scored relationship below the public materiality threshold is reconciled in the accounting residual.

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. Factor values here are net totals; the score-changing relationship table above preserves material positive and negative drivers even when they offset inside the same factor.

Neutral model baseline70.00
Target-market demand+0.25
Property replacement-cycle demandNot included in the score
Competitive environmentNot included in the score
Labor and staffing friction+0.15
Transportation, routing, and parkingPotential candidate-specific adjustment
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystemNot applicable to this operating model
Territory qualityNot included in the score
Regulatory and operating friction-1.27
Full-precision calculated score69.127
Published local-market alignment69.13

Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Limited
Franchise-profile completeness
Strong
Source-evidence confidence
Strong
Geographic applicability
Strong
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Regulatory and operating friction -1.27 pts
Tested rank range
#4–#14
#10Tier 3 · Mixed modeled alignment68.94

ZOOM DRAIN

Plumbing & Drain Services · mobile drain and sewer specialist

Initial investment: $266,250–$570,500 · Item 7 evidence below

Advantage +0.40 pts $15.31/hour food preparation and serving mean hourly wageConstraint -1.12 pts 46.6% owner-occupied housing share

Rank sensitivity: Highly sensitive

Why it ranks here

Score-changing local relationships are grouped by factor. Each factor subtotal shows the net contribution after model controls.

Baseline70.00
Advantages+0.60 pts
Constraints-1.66 pts
Net local movement-1.060 pts
Final score68.94

6 material local relationships changed this score: 3 advantages and 3 constraints. 3 additional scored relationships fell below the public row threshold and reconcile to +0.023 pts.

Largest individual score driver46.6% owner-occupied housing share-1.12 pts
Factor

Target-market demand

Factor subtotal-1.20 pts
Scored local driverEffectEvidence
46.6% owner-occupied housing shareLargest driverRelationship test: Rank #10 to #9 without this driver.-1.12 ptsHighEvidence
52.1% of occupied housing units detached single-family housing share-0.24 ptsHighEvidence
53.4% renter-occupied housing share+0.07 ptsHighEvidence
41.5% of housing units in structures with 2+ units multifamily housing share+0.06 ptsModerateEvidence
Factor

Labor and staffing friction

Factor subtotal+0.40 pts
Scored local driverEffectEvidence
$15.31/hour food preparation and serving mean hourly wage+0.40 ptsHighEvidence
Factor

Real estate and site feasibility

Factor subtotal-0.26 pts
Scored local driverEffectEvidence
1.9% industrial vacancy rate-0.26 ptsModerateEvidence
Overall local score movement-1.060 ptsThis is the accounting total after all factor subtotals and model controls.
Potential candidate-specific adjustmentsThese relationships depend on territory, site, customer mix, project, or another candidate-specific selection. They stay outside the baseline city score until that selection is known; the model should then be rerun to produce the candidate-adjusted score.
Potential candidate advantageContractor and trade referral ecosystemReferral ecosystem
Evidence: HighEvidence

Applicability depends on the selected submarket

Potential candidate constraintCorridor or highway construction disruptionTransportation, routing, and parking
Evidence: HighEvidence

Applicability depends on the selected corridor

Relationship effects are shown individually. Factor net values are secondary subtotals. Any scored relationship below the public materiality threshold is reconciled in the accounting residual.

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. Factor values here are net totals; the score-changing relationship table above preserves material positive and negative drivers even when they offset inside the same factor.

Neutral model baseline70.00
Target-market demand-1.20
Property replacement-cycle demandNot included in the score
Competitive environmentNot included in the score
Labor and staffing friction+0.40
Transportation, routing, and parkingPotential candidate-specific adjustment
Real estate and site feasibility-0.26
Sales and customer acquisitionNot included in the score
Referral ecosystemNot applicable to this operating model
Territory qualityNot included in the score
Regulatory and operating frictionNot applicable to this operating model
Full-precision calculated score68.940
Published local-market alignment68.94

Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Limited
Franchise-profile completeness
Strong
Source-evidence confidence
Strong
Geographic applicability
Strong
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand -1.20 pts
Tested rank range
#6–#10
#11Tier 3 · Mixed modeled alignment68.80

HomeSmiles

Recurring Property Maintenance · mobile recurring multi-service property maintenance

Initial investment: $148,110–$201,800 · Item 7 evidence below

Advantage +0.32 pts $15.31/hour food preparation and serving mean hourly wageConstraint -1.24 pts 46.6% owner-occupied housing share

Rank sensitivity: Highly sensitive

Why it ranks here

Score-changing local relationships are grouped by factor. Each factor subtotal shows the net contribution after model controls.

Baseline70.00
Advantages+0.51 pts
Constraints-1.71 pts
Net local movement-1.199 pts
Final score68.80

7 material local relationships changed this score: 4 advantages and 3 constraints.

Largest individual score driver46.6% owner-occupied housing share-1.24 pts
Factor

Target-market demand

Factor subtotal-1.52 pts
Scored local driverEffectEvidence
46.6% owner-occupied housing shareLargest driverRelationship test: Rank #11 to #12 without this driver.-1.24 ptsHighEvidence
52.1% of occupied housing units detached single-family housing share-0.40 ptsHighEvidence
41.5% of housing units in structures with 2+ units multifamily housing share+0.07 ptsModerateEvidence
53.4% renter-occupied housing share+0.07 ptsHighEvidence
$54,039 median household income-0.07 ptsHighEvidence
3,630,410 passengers mcGhee Tyson Airport annual passengers+0.06 ptsModerateEvidence
Factor

Labor and staffing friction

Factor subtotal+0.32 pts
Scored local driverEffectEvidence
$15.31/hour food preparation and serving mean hourly wage+0.32 ptsHighEvidence
Overall local score movement-1.199 ptsThis is the accounting total after all factor subtotals and model controls.

Relationship effects are shown individually. Factor net values are secondary subtotals. Any scored relationship below the public materiality threshold is reconciled in the accounting residual.

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. Factor values here are net totals; the score-changing relationship table above preserves material positive and negative drivers even when they offset inside the same factor.

Neutral model baseline70.00
Target-market demand-1.52
Property replacement-cycle demandNot included in the score
Competitive environmentNot included in the score
Labor and staffing friction+0.32
Transportation, routing, and parkingPotential candidate-specific adjustment
Real estate and site feasibilityNot applicable to this operating model
Sales and customer acquisitionNot included in the score
Referral ecosystemNot applicable to this operating model
Territory qualityNot included in the score
Regulatory and operating frictionNot applicable to this operating model
Full-precision calculated score68.801
Published local-market alignment68.80

Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Limited
Franchise-profile completeness
Strong
Source-evidence confidence
Strong
Geographic applicability
Strong
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand -1.52 pts
Tested rank range
#2–#13
#12Tier 3 · Mixed modeled alignment68.79

Aire Serv

HVAC · mobile hvac field service with required service base

Initial investment: $113,308–$271,708 · Item 7 evidence below

Advantage +0.41 pts $15.31/hour food preparation and serving mean hourly wageConstraint -1.12 pts 46.6% owner-occupied housing share

Rank sensitivity: Moderately sensitive

Why it ranks here

Score-changing local relationships are grouped by factor. Each factor subtotal shows the net contribution after model controls.

Baseline70.00
Advantages+0.56 pts
Constraints-1.77 pts
Net local movement-1.208 pts
Final score68.79

5 material local relationships changed this score: 2 advantages and 3 constraints. 3 additional scored relationships fell below the public row threshold and reconcile to +0.053 pts.

Largest individual score driver46.6% owner-occupied housing share-1.12 pts
Factor

Target-market demand

Factor subtotal-1.25 pts
Scored local driverEffectEvidence
46.6% owner-occupied housing shareLargest driverRelationship test: Rank #12 to #11 without this driver.-1.12 ptsHighEvidence
52.1% of occupied housing units detached single-family housing share-0.24 ptsHighEvidence
397 permits building permits issued+0.06 ptsModerateEvidence
Factor

Labor and staffing friction

Factor subtotal+0.41 pts
Scored local driverEffectEvidence
$15.31/hour food preparation and serving mean hourly wage+0.41 ptsHighEvidence
Factor

Real estate and site feasibility

Factor subtotal-0.36 pts
Scored local driverEffectEvidence
1.9% industrial vacancy rate-0.36 ptsModerateEvidence
Overall local score movement-1.208 ptsThis is the accounting total after all factor subtotals and model controls.

Relationship effects are shown individually. Factor net values are secondary subtotals. Any scored relationship below the public materiality threshold is reconciled in the accounting residual.

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
Additional brand source material assessed
1 source
Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified. Factor values here are net totals; the score-changing relationship table above preserves material positive and negative drivers even when they offset inside the same factor.

Neutral model baseline70.00
Target-market demand-1.25
Property replacement-cycle demandNot included in the score
Competitive environmentNot included in the score
Labor and staffing friction+0.41
Transportation, routing, and parkingPotential candidate-specific adjustment
Real estate and site feasibility-0.36
Sales and customer acquisitionNot included in the score
Referral ecosystemNot applicable to this operating model
Territory qualityNot included in the score
Regulatory and operating frictionNot applicable to this operating model
Full-precision calculated score68.792
Published local-market alignment68.79

Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Limited
Franchise-profile completeness
Strong
Source-evidence confidence
Strong
Geographic applicability
Strong
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand -1.25 pts
Tested rank range
#9–#12
#13Tier 3 · Mixed modeled alignment68.73

Mr. Rooter

Plumbing & Drain Services · mobile plumbing and drain service business

Initial investment: $152,900–$298,675 · Item 7 evidence below

Advantage +0.40 pts $15.31/hour food preparation and serving mean hourly wageConstraint -1.12 pts 46.6% owner-occupied housing share

Rank sensitivity: Highly sensitive

Why it ranks here

Score-changing local relationships are grouped by factor. Each factor subtotal shows the net contribution after model controls.

Baseline70.00
Advantages+0.57 pts
Constraints-1.84 pts
Net local movement-1.275 pts
Final score68.73

4 material local relationships changed this score: 1 advantage and 3 constraints. 5 additional scored relationships fell below the public row threshold and reconcile to +0.152 pts.

Largest individual score driver46.6% owner-occupied housing share-1.12 pts
Factor

Target-market demand

Factor subtotal-1.21 pts
Scored local driverEffectEvidence
46.6% owner-occupied housing shareLargest driverRelationship test: Rank stays #13 without this driver.-1.12 ptsHighEvidence
52.1% of occupied housing units detached single-family housing share-0.24 ptsHighEvidence
Factor

Real estate and site feasibility

Factor subtotal-0.47 pts
Scored local driverEffectEvidence
1.9% industrial vacancy rate-0.47 ptsModerateEvidence
Factor

Labor and staffing friction

Factor subtotal+0.40 pts
Scored local driverEffectEvidence
$15.31/hour food preparation and serving mean hourly wage+0.40 ptsHighEvidence
Overall local score movement-1.275 ptsThis is the accounting total after all factor subtotals and model controls.
Potential candidate-specific adjustmentsThese relationships depend on territory, site, customer mix, project, or another candidate-specific selection. They stay outside the baseline city score until that selection is known; the model should then be rerun to produce the candidate-adjusted score.
Potential candidate constraintCorridor or highway construction disruptionTransportation, routing, and parking
Evidence: HighEvidence

Applicability depends on the selected corridor

Relationship effects are shown individually. Factor net values are secondary subtotals. Any scored relationship below the public materiality threshold is reconciled in the accounting residual.

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. Factor values here are net totals; the score-changing relationship table above preserves material positive and negative drivers even when they offset inside the same factor.

Neutral model baseline70.00
Target-market demand-1.21
Property replacement-cycle demandNot included in the score
Competitive environmentNot included in the score
Labor and staffing friction+0.40
Transportation, routing, and parkingPotential candidate-specific adjustment
Real estate and site feasibility-0.47
Sales and customer acquisitionNot included in the score
Referral ecosystemNot applicable to this operating model
Territory qualityNot included in the score
Regulatory and operating frictionNot applicable to this operating model
Full-precision calculated score68.725
Published local-market alignment68.73

Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Limited
Franchise-profile completeness
Strong
Source-evidence confidence
Strong
Geographic applicability
Strong
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand -1.21 pts
Tested rank range
#9–#13
#14Tier 3 · Mixed modeled alignment68.61

Mister Sparky Electric

Electrical Services · mobile residential electrical service

Advantage +0.34 pts $15.31/hour food preparation and serving mean hourly wageConstraint -1.37 pts 46.6% owner-occupied housing share

Rank sensitivity: Highly sensitive

Why it ranks here

Score-changing local relationships are grouped by factor. Each factor subtotal shows the net contribution after model controls.

Baseline70.00
Advantages+0.37 pts
Constraints-1.76 pts
Net local movement-1.387 pts
Final score68.61

4 material local relationships changed this score: 1 advantage and 3 constraints. 2 additional scored relationships fell below the public row threshold and reconcile to -0.013 pts.

Largest individual score driver46.6% owner-occupied housing share-1.37 pts
Factor

Target-market demand

Factor subtotal-1.59 pts
Scored local driverEffectEvidence
46.6% owner-occupied housing shareLargest driverRelationship test: Rank #14 to #10 without this driver.-1.37 ptsHighEvidence
52.1% of occupied housing units detached single-family housing share-0.20 ptsHighEvidence
Factor

Labor and staffing friction

Factor subtotal+0.34 pts
Scored local driverEffectEvidence
$15.31/hour food preparation and serving mean hourly wage+0.34 ptsHighEvidence
Factor

Real estate and site feasibility

Factor subtotal-0.14 pts
Scored local driverEffectEvidence
1.9% industrial vacancy rate-0.14 ptsModerateEvidence
Overall local score movement-1.387 ptsThis is the accounting total after all factor subtotals and model controls.
Potential candidate-specific adjustmentsThese relationships depend on territory, site, customer mix, project, or another candidate-specific selection. They stay outside the baseline city score until that selection is known; the model should then be rerun to produce the candidate-adjusted score.
Potential candidate constraintCorridor or highway construction disruptionTransportation, routing, and parking
Evidence: HighEvidence

Applicability depends on the selected corridor

Relationship effects are shown individually. Factor net values are secondary subtotals. Any scored relationship below the public materiality threshold is reconciled in the accounting residual.

Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified. Factor values here are net totals; the score-changing relationship table above preserves material positive and negative drivers even when they offset inside the same factor.

Neutral model baseline70.00
Target-market demand-1.59
Property replacement-cycle demandNot included in the score
Competitive environmentNot included in the score
Labor and staffing friction+0.34
Transportation, routing, and parkingPotential candidate-specific adjustment
Real estate and site feasibility-0.14
Sales and customer acquisitionNot included in the score
Referral ecosystemNot applicable to this operating model
Territory qualityNot included in the score
Regulatory and operating frictionNot applicable to this operating model
Full-precision calculated score68.613
Published local-market alignment68.61

Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Limited
Franchise-profile completeness
Strong
Source-evidence confidence
Strong
Geographic applicability
Strong
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand -1.59 pts
Tested rank range
#4–#14

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 effectMaterial local friction

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 14 of 14 concepts. When we neutralized the factor and recalculated the table, 14 concepts changed position. Mister Sparky Electric moved from #14 to #4, the largest movement among concepts directly affected by this factor.

Concepts adjusted14 of 14
Average among affected-0.51 pts
Average across all concepts-0.51 pts
Concepts changing rank14

What we observed

  • Owner Occupied Housing Share46.6%
  • Renter Occupied Housing Share53.4%
  • Detached Single Family Housing Share52.1% of occupied housing units

Concepts helped most

FASTSIGNSSigns & Graphics
+0.61 pts
City Wide Facility SolutionsIntegrated Facility Management
+0.60 pts
JAN-PRO InternationalFranchise Consulting Training
+0.36 pts
Workout AnytimeFull-Service Fitness
+0.25 pts
ActionCOACHBusiness Coaching
+0.11 pts

Concepts challenged most

Mister Sparky ElectricElectrical Services
-1.59 pts
HomeSmilesRecurring Property Maintenance
-1.52 pts
Aire ServHVAC
-1.25 pts
Mr. RooterPlumbing & Drain Services
-1.21 pts
ZOOM DRAINPlumbing & Drain Services
-1.20 pts
Measured but not differentiating in this concept set
  • Property replacement-cycle demandNo material score adjustment
  • Competitive environmentNo material score adjustment
  • Transportation, routing, and parkingNo material score adjustment
  • Sales and customer acquisitionNo material score adjustment
  • Territory qualityNo 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 Wide Facility SolutionsHighly sensitive · tested #1–#10
#2 JAN-PRO InternationalStable · tested #2–#3
#3 FASTSIGNSHighly sensitive · tested #1–#13
#4 ActionCOACHModerately sensitive · tested #3–#5
#5 Pillar To Post Home InspectorsHighly sensitive · tested #1–#6
#6 Rainbow International RestorationModerately sensitive · tested #6–#8
#7 PuroCleanHighly sensitive · tested #6–#12
#8 Tiger AdjustersModerately sensitive · tested #7–#9
#9 Workout AnytimeHighly sensitive · tested #4–#14
#10 ZOOM DRAINHighly sensitive · tested #6–#10
#11 HomeSmilesHighly sensitive · tested #2–#13
#12 Aire ServModerately sensitive · tested #9–#12
#13 Mr. RooterHighly sensitive · tested #9–#13
#14 Mister Sparky ElectricHighly sensitive · tested #4–#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.

Net factor impact

Net factor totals across the highest-ranked concepts

This graph plots net factor totals for the top 14 concepts. A near-zero net can contain meaningful positive and negative scored relationships that offset each other; those underlying drivers remain visible in each franchise's expanded score explanation.

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.+2.00+1.000.00-1.00-2.00
Target-market demand
#1 City Wide Facility Solutions · Target-market demand · +0.60 pts1#2 JAN-PRO International · Target-market demand · +0.40 pts2#3 FASTSIGNS · Target-market demand · +0.60 pts3#4 ActionCOACH · Target-market demand · +0.10 pts4#5 Pillar To Post Home Inspectors · Target-market demand · -0.40 pts5#6 Rainbow International Restoration · Target-market demand · -0.50 pts6#7 PuroClean · Target-market demand · -0.50 pts7#8 Tiger Adjusters · Target-market demand · -0.80 pts8#9 Workout Anytime · Target-market demand · +0.20 pts9#10 ZOOM DRAIN · Target-market demand · -1.20 pts10#11 HomeSmiles · Target-market demand · -1.50 pts11#12 Aire Serv · Target-market demand · -1.30 pts12#13 Mr. Rooter · Target-market demand · -1.20 pts13#14 Mister Sparky Electric · Target-market demand · -1.60 pts14
Labor and staffing friction
#1 City Wide Facility Solutions · Labor and staffing friction · +0.10 pts1#2 JAN-PRO International · Labor and staffing friction · +0.10 pts2#3 FASTSIGNS · Labor and staffing friction · +0.20 pts3#5 Pillar To Post Home Inspectors · Labor and staffing friction · +0.30 pts5#6 Rainbow International Restoration · Labor and staffing friction · +0.30 pts6#7 PuroClean · Labor and staffing friction · +0.30 pts7#8 Tiger Adjusters · Labor and staffing friction · +0.10 pts8#9 Workout Anytime · Labor and staffing friction · +0.20 pts9#10 ZOOM DRAIN · Labor and staffing friction · +0.40 pts10#11 HomeSmiles · Labor and staffing friction · +0.30 pts11#12 Aire Serv · Labor and staffing friction · +0.40 pts12#13 Mr. Rooter · Labor and staffing friction · +0.40 pts13#14 Mister Sparky Electric · Labor and staffing friction · +0.30 pts14
Real estate and site feasibility
#3 FASTSIGNS · Real estate and site feasibility · -0.30 pts3#6 Rainbow International Restoration · Real estate and site feasibility · -0.20 pts6#7 PuroClean · Real estate and site feasibility · -0.40 pts7#10 ZOOM DRAIN · Real estate and site feasibility · -0.30 pts10#12 Aire Serv · Real estate and site feasibility · -0.40 pts12#13 Mr. Rooter · Real estate and site feasibility · -0.50 pts13#14 Mister Sparky Electric · Real estate and site feasibility · -0.10 pts14
Referral ecosystem
#2 JAN-PRO International · Referral ecosystem · +0.20 pts2#4 ActionCOACH · Referral ecosystem · +0.30 pts4#5 Pillar To Post Home Inspectors · Referral ecosystem · +0.10 pts5#8 Tiger Adjusters · Referral ecosystem · +0.10 pts8
Regulatory and operating friction
#1 City Wide Facility Solutions · Regulatory and operating friction · -0.10 pts1#2 JAN-PRO International · Regulatory and operating friction · -0.10 pts2#3 FASTSIGNS · Regulatory and operating friction · -0.10 pts3#4 ActionCOACH · Regulatory and operating friction · -0.10 pts4#9 Workout Anytime · Regulatory and operating friction · -1.30 pts9
Primary source records by factorTarget-market demand: [11] [24] [4] [1] [7] [5] [2] [6] [8] [26] [27] [28] [13] [12] [14]Labor and staffing friction: [9] [1] [2]Transportation, routing, and parking: [1] [2] [31] [32]Referral ecosystem: [41] [42] [29] [44] [43] [45] [46] [30]Regulatory and operating friction: [36] [35] [27] [34] [20] [33] [37] [39] [38] [40] [18]
View the chart data as a table
ConceptTarget-market demandLabor and staffing frictionReal estate and site feasibilityReferral ecosystemRegulatory and operating friction
#1 City Wide Facility Solutions+0.60 pts+0.10 pts——-0.10 pts
#2 JAN-PRO International+0.40 pts+0.10 pts—+0.20 pts-0.10 pts
#3 FASTSIGNS+0.60 pts+0.20 pts-0.30 pts—-0.10 pts
#4 ActionCOACH+0.10 pts——+0.30 pts-0.10 pts
#5 Pillar To Post Home Inspectors-0.40 pts+0.30 pts—+0.10 pts—
#6 Rainbow International Restoration-0.50 pts+0.30 pts-0.20 pts——
#7 PuroClean-0.50 pts+0.30 pts-0.40 pts——
#8 Tiger Adjusters-0.80 pts+0.10 pts—+0.10 pts—
#9 Workout Anytime+0.20 pts+0.20 pts——-1.30 pts
#10 ZOOM DRAIN-1.20 pts+0.40 pts-0.30 pts——
#11 HomeSmiles-1.50 pts+0.30 pts———
#12 Aire Serv-1.30 pts+0.40 pts-0.40 pts——
#13 Mr. Rooter-1.20 pts+0.40 pts-0.50 pts——
#14 Mister Sparky Electric-1.60 pts+0.30 pts-0.10 pts——

Interpretation

How to interpret the leading cluster

City Wide Facility Solutions, JAN-PRO International, and FASTSIGNS gained more than the rest of the field from multifamily housing concentration and Knoxville, TN Metropolitan Statistical Area through target-market demand. The ordering is assumption-sensitive for City Wide Facility Solutions and FASTSIGNS when individual factors are neutralized and the model is rerun. The same city condition can help one operating model while constraining another, so this ranking describes local operating alignment rather than universal franchise quality.

Category comparisons

Best franchise categories we assessed in Knoxville, Tennessee

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: Property Restoration franchise opportunities assessed in Knoxville, Tennessee

69.47

2 Property Restoration concepts qualified for comparison, with scores ranging from 69.41 to 69.53. Rainbow International Restoration ranked highest at 69.53. Labor and staffing friction added 0.27 points on average among the affected concepts. Target-market demand reduced the exposed concepts by 0.52 points on average.

Interpret cautiously: A 0.13-point spread is too small to support a strong brand-level conclusion from city alignment alone.

Concepts compared
2
Score range
69.41–69.53
Category average
69.47
Rainbow International Restoration69.53
PuroClean69.41
Limited two-concept comparison

Limited comparison: Plumbing & Drain Services franchise opportunities assessed in Knoxville, Tennessee

68.83

2 Plumbing & Drain Services concepts qualified for comparison, with scores ranging from 68.73 to 68.94. ZOOM DRAIN ranked highest at 68.94. Labor and staffing friction added 0.40 points on average among the affected concepts. Target-market demand reduced the exposed concepts by 1.20 points on average.

Interpret cautiously: A 0.21-point spread is too small to support a strong brand-level conclusion from city alignment alone.

Concepts compared
2
Score range
68.73–68.94
Category average
68.83
ZOOM DRAIN68.94
Mr. Rooter68.73

Metric registry

The 14 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
Population estimate202,021 people2020-2025 estimates; 2020-2024 ACS; 2022 Economic Census/retail dataKnoxville, TennesseeContext only [1]
Population change since 20206.0% growth2020-2025 estimates; 2020-2024 ACS; 2022 Economic Census/retail dataKnoxville, TennesseeContext only [1] [2]
Population density1,932.1 people per square mile2020-2025 estimates; 2020-2024 ACS; 2022 Economic Census/retail dataKnoxville, TennesseeContext only [1]
Household count86,263 households2020-2025 estimates; 2020-2024 ACS; 2022 Economic Census/retail dataKnoxville, TennesseeContext only [1]
Housing-unit count99,290 housing units2024 ACS 1-yearKnoxville, TennesseeContext only [4]
Owner-occupied housing share46.6%2020-2025 estimates; 2020-2024 ACS; 2022 Economic Census/retail dataKnoxville, TennesseeUsed in scoring [1] [2]
Renter-occupied housing share53.4%2020-2025 estimates; 2020-2024 ACS; 2022 Economic Census/retail dataKnoxville, TennesseeUsed in scoring [1] [2]
Detached single-family housing share52.1% of occupied housing units2024 ACS 1-yearKnoxville, TennesseeUsed in scoring [5] [6]
Recent-mover share18.3% moved within the prior year2020-2025 estimates; 2020-2024 ACS; 2022 Economic Census/retail dataKnoxville, TennesseeUsed in scoring [1] [2]
Median owner-occupied home value$239,7002020-2025 estimates; 2020-2024 ACS; 2022 Economic Census/retail dataKnoxville, TennesseeUsed in scoring [1] [2]
Median household income$54,0392020-2025 estimates; 2020-2024 ACS; 2022 Economic Census/retail dataKnoxville, TennesseeUsed in scoring [1] [2]
Poverty rate20.2%2020-2025 estimates; 2020-2024 ACS; 2022 Economic Census/retail dataKnoxville, TennesseeUsed in scoring [1] [2]
Mean travel time to work20.2 minutes2020-2025 estimates; 2020-2024 ACS; 2022 Economic Census/retail dataKnoxville, TennesseeContext only [1] [2]
Retail sales per capita$51,934 per capita2020-2025 estimates; 2020-2024 ACS; 2022 Economic Census/retail dataKnoxville, TennesseeUsed in scoring [1] [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.

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 broadly applicable effects

Apply fully supported relationships at full weight and otherwise scoreable research- or taxonomy-gated relationships at a reduced provisional weight.

04

Preserve candidate-dependent effects

Keep territory-, site-, customer-, project-, or configuration-dependent relationships outside the baseline score until the relevant candidate selections are known.

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 70.00 reference point, so differences come only from modeled local interactions. In Knoxville, City Wide Facility Solutions reached 70.603. Target-market demand combined several local relationships for a net +0.60 points. [6] [28] [1] [2] Labor and staffing friction totaled +0.10 points, led by knoxville, tn metropolitan statistical area at +0.10 points. [9] Regulatory and operating friction netted to -0.10 points after combining observed local relationships with a conservative or model-applied adjustment.

The current model caps total local movement at ±18.00 points. The score is not a percentage, probability, or estimate of investment quality.

Score calibration

How relationship effects become score adjustments

Each score-changing relationship starts with its model-defined maximum effect. The documented city-condition strength and the franchise's weighted operating exposure scale that maximum. Evidence confidence, provenance, geographic applicability, and the profile-confidence multiplier then modify the pre-cap effect. Fully supported relationships use full weight; broadly applicable relationships held back only by research or taxonomy-review gates use an additional 0.80 eligibility multiplier. Candidate-dependent site, territory, customer, project, or operating selections remain outside the baseline score until resolved. Correlation and score caps can reduce the resulting magnitude before the final contribution is added to the common baseline.

Local conditionmultifamily housing concentration [6] [28]Strength 0.550 / 1.000
Operating exposureMultifamily housing concentrationCity Wide Facility Solutions weighted operating exposureExposure 0.684 / 1.000
Model calibration+3.00 pts ceilingEvidence/applicability ×0.367 · pre-cap +0.33 ptsRelationship-specific maximum
Score effect+0.33 ptsNo post-calibration control reduced this relationshipOpen evidence chain
Worked-example calibration inputsActual model values, not generic point bands
City-condition strength0.550 / 1.000
Operating exposure0.684 / 1.000
Evidence & applicability×0.367
Relationship ceiling3.000 pts

The model does not use one universal Minor/Moderate/Strong point table. Relationship-specific max_effect values are the actual point ceilings, so publishing generic point bands would misstate the scoring system.

Score tiers

Tier 1 · Strongest modeled alignment80.00–100.00
Tier 2 · Favorable modeled alignment72.00–<80.00
Tier 3 · Mixed modeled alignment64.00–<72.00
Tier 4 · Higher-friction modeled alignment0.00–<64.00

How factor rows are classified

Positive local adjustmentNegative local adjustmentMeasured; no meaningful local adjustmentEffect below the publication thresholdNot applicable to this operating modelPotential candidate-specific adjustmentNot 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 0.10.0 · Compiler 0.33.2-impact-summary-precision-reconciliation · Report generated September 10, 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

Model updates are versioned and dated, documenting material changes to scoring, evidence handling, methodology, governance, and presentation across published reports.

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
    QuickFacts: Knoxville city, Tennessee

    Used for: Population estimate, Population change since 2020, Population density, Household count, and Owner-occupied housing share

    Publisher
    U.S. Census Bureau
    Data period
    2020-2025 estimates; 2020-2024 ACS; 2022 Economic Census/retail data
    Scope
    Knoxville city, Tennessee
    Accessed
    September 3, 2026
  2. 2
    QuickFacts: Tennessee

    Used for: Population change since 2020, Owner-occupied housing share, Renter-occupied housing share, Recent-mover share, and Median owner-occupied home value

    Publisher
    U.S. Census Bureau
    Data period
    2020-2025 estimates; 2020-2024 ACS; 2022 economic data
    Scope
    Tennessee
    Accessed
    September 3, 2026
  3. 3
    QuickFacts: United States
    Publisher
    U.S. Census Bureau
    Data period
    2020-2025 estimates; 2020-2024 ACS; 2022 economic data
    Scope
    United States
    Accessed
    September 3, 2026
  4. 4
    ACS 2024 1-year profile: Knoxville city, Tennessee

    Used for: Housing-unit count

    Publisher
    U.S. Census Bureau
    Data period
    2024 ACS 1-year
    Scope
    Knoxville city, Tennessee
    Accessed
    September 3, 2026
  5. 5
    ACS 2024 S2504 Physical Housing Characteristics for Occupied Housing Units: Knoxville

    Used for: Detached single-family housing share

    Publisher
    U.S. Census Bureau
    Data period
    2024 ACS 1-year
    Scope
    Knoxville city, Tennessee
    Accessed
    September 3, 2026
  6. 6
    ACS 2024 B25136 Tenure by Units in Structure: United States

    Used for: Detached single-family housing share

    Publisher
    U.S. Census Bureau
    Data period
    2024 ACS 1-year
    Scope
    United States
    Accessed
    September 3, 2026
  7. 7
    ACS 2024 S0101 Age and Sex: Knoxville city, Tennessee
    Publisher
    U.S. Census Bureau
    Data period
    2024 ACS 1-year
    Scope
    Knoxville city, Tennessee
    Accessed
    September 3, 2026
  8. 8
    ACS 2024 S0101 Age and Sex: United States
    Publisher
    U.S. Census Bureau
    Data period
    2024 ACS 1-year
    Scope
    United States
    Accessed
    September 3, 2026
  9. 9
    Occupational Employment and Wages in Knoxville — May 2025
    Publisher
    U.S. Bureau of Labor Statistics
    Data period
    May 2025
    Scope
    Knoxville metropolitan area
    Accessed
    September 3, 2026
  10. 10
    Knoxville Area Economic Summary
    Publisher
    U.S. Bureau of Labor Statistics
    Data period
    2025-2026
    Scope
    Knoxville metropolitan area
    Accessed
    September 3, 2026
  11. 11
    County Employment and Wages in Tennessee — Knox County
    Publisher
    U.S. Bureau of Labor Statistics
    Data period
    Q4 2025
    Scope
    Knox County, Tennessee
    Accessed
    September 3, 2026
  12. 12
    UT Knoxville Data and Institutional Research
    Publisher
    University of Tennessee, Knoxville
    Data period
    Fall 2025
    Scope
    University of Tennessee, Knoxville campus
    Accessed
    September 3, 2026
  13. 13
    Reflecting on a Record Year for Air Service at TYS
    Publisher
    Metropolitan Knoxville Airport Authority
    Data period
    2025
    Scope
    McGhee Tyson Airport / Knoxville metro
    Accessed
    September 3, 2026
  14. 14
    2025 Economic Impact of Tourism in Knox County
    Publisher
    Visit Knoxville
    Data period
    2025
    Scope
    Knox County, Tennessee
    Accessed
    September 3, 2026
  15. 15
    Business Electric Rate Schedules
    Publisher
    Knoxville Utilities Board
    Data period
    August 2026
    Scope
    KUB service area
    Accessed
    September 3, 2026
  16. 16
    KUB Audited Financial Statements FY2025
    Publisher
    Knoxville Utilities Board
    Data period
    FY2025
    Scope
    KUB service area
    Accessed
    September 3, 2026
  17. 17
    Business License/Tax Office
    Publisher
    City of Knoxville
    Data period
    Current as accessed 2026-09-03
    Scope
    Knoxville, Tennessee
    Accessed
    September 3, 2026
  18. 18
    Should I be paid minimum wage?
    Publisher
    Tennessee Department of Labor and Workforce Development
    Data period
    Current as accessed 2026-09-03
    Scope
    Tennessee
    Accessed
    September 3, 2026
  19. 19
    Sign Permits and Inspections
    Publisher
    City of Knoxville
    Data period
    Current as accessed 2026-09-03
    Scope
    Knoxville, Tennessee
    Accessed
    September 3, 2026
  20. 20
    Zoning Ordinance & Inquiries
    Publisher
    City of Knoxville
    Data period
    Current as accessed 2026-09-03
    Scope
    Knoxville, Tennessee
    Accessed
    September 3, 2026
  21. 21
    Current Building Codes
    Publisher
    City of Knoxville
    Data period
    Current as accessed 2026-09-03
    Scope
    Knoxville, Tennessee
    Accessed
    September 3, 2026
  22. 22
    Finance / Purchasing
    Publisher
    City of Knoxville
    Data period
    Current as accessed 2026-09-03
    Scope
    Knoxville, Tennessee
    Accessed
    September 3, 2026
  23. 23
    Knoxville Climate Normals and Records (TYS)
    Publisher
    NOAA / National Weather Service Morristown
    Data period
    1991-2020 climate normals
    Scope
    McGhee Tyson Airport / Knoxville region
    Accessed
    September 3, 2026
  24. 24
    Knoxville Industrial Market Profile Q3 2025
    Publisher
    CBRE
    Data period
    Q3 2025
    Scope
    Knoxville metropolitan area
    Accessed
    September 3, 2026
  25. 25
    U.S. Industrial Market Outlook Q4 2025
    Publisher
    Colliers
    Data period
    Q4 2025
    Scope
    United States
    Accessed
    September 3, 2026
  26. 26
    Development Services Report Q2 2025
    Publisher
    City of Knoxville
    Data period
    Q2 2025
    Scope
    Knoxville, Tennessee
    Accessed
    September 3, 2026
  27. 27
    Facts & Figures 2025
    Publisher
    Knoxville-Knox County Planning
    Data period
    2024-2025
    Scope
    Knoxville city, Knox County, and Knoxville metro
    Accessed
    September 3, 2026
  28. 28
    Knoxville, Tennessee Demographic and Housing Profile
    Publisher
    MMCG Analytics
    Data period
    Recent ACS-derived profile
    Scope
    Knoxville city, Tennessee
    Accessed
    September 3, 2026
  29. 29
    Vendor Registration
    Publisher
    City of Knoxville
    Data period
    Current as accessed 2026-09-06
    Scope
    City of Knoxville procurement jurisdiction
    Accessed
    September 6, 2026
  30. 30
    Procurement Services
    Publisher
    The University of Tennessee System
    Data period
    Current as accessed 2026-09-06
    Scope
    University of Tennessee System procurement, including Knoxville offices and campuses
    Accessed
    September 6, 2026
  31. 31
    Tennessee Athletics Announces New Traffic Flow Patterns for Neyland Stadium
    Publisher
    University of Tennessee Athletics
    Published
    August 25, 2026
    Data period
    2026 football season, effective with September 5, 2026 home opener
    Scope
    Neyland Stadium / University of Tennessee Knoxville event zone
    Accessed
    September 6, 2026
  32. 32
    Weekly East Tennessee Construction Report for September 3-9, 2026
    Publisher
    Tennessee Department of Transportation
    Published
    September 4, 2026
    Data period
    September 3-9, 2026
    Scope
    Knox County and East Tennessee transportation network
    Accessed
    September 6, 2026
  33. 33
    City of Knoxville Zoning Code Article 16
    Publisher
    City of Knoxville
    Published
    January 1, 2025
    Data period
    Current zoning-code text as accessed 2026-09-06
    Scope
    City of Knoxville zoning districts
    Accessed
    September 6, 2026
  34. 34
    Plans Review
    Publisher
    City of Knoxville Engineering Development Services Division
    Data period
    Current as accessed 2026-09-06
    Scope
    City of Knoxville site-development jurisdiction
    Accessed
    September 6, 2026
  35. 35
    Engineering Development Services Fee Schedule
    Publisher
    City of Knoxville
    Published
    February 1, 2025
    Data period
    Fee schedule dated February 2025, current as accessed 2026-09-06
    Scope
    City of Knoxville site-development permitting
    Accessed
    September 6, 2026
  36. 36
    Site Development Permit Checklist - Commercial
    Publisher
    City of Knoxville Engineering Development Services Division
    Published
    August 1, 2024
    Data period
    Land Development Manual commercial checklist dated August 2024
    Scope
    City of Knoxville commercial site-development jurisdiction
    Accessed
    September 6, 2026
  37. 37
    Business Service Fees
    Publisher
    Knoxville Utilities Board
    Data period
    Current as accessed 2026-09-06
    Scope
    KUB utility service area
    Accessed
    September 6, 2026
  38. 38
    Grease Control Equipment
    Publisher
    Knoxville Utilities Board
    Data period
    Current as accessed 2026-09-06
    Scope
    KUB wastewater service area
    Accessed
    September 6, 2026
  39. 39
    Cross-Connection
    Publisher
    Knoxville Utilities Board
    Data period
    Current as accessed 2026-09-06
    Scope
    KUB water service area
    Accessed
    September 6, 2026
  40. 40
    Water Service
    Publisher
    Knoxville Utilities Board
    Data period
    Current as accessed 2026-09-06
    Scope
    KUB water service area
    Accessed
    September 6, 2026
  41. 41
    Membership Information
    Publisher
    Apartment Association of Greater Knoxville
    Data period
    Current as accessed 2026-09-06
    Scope
    Knox and surrounding counties
    Accessed
    September 6, 2026
  42. 42
    Annual Trade Show & Fair Housing Training
    Publisher
    Apartment Association of Greater Knoxville
    Published
    September 30, 2026
    Data period
    Scheduled September 30, 2026
    Scope
    Knoxville / greater Knoxville multifamily industry
    Accessed
    September 6, 2026
  43. 43
    Membership
    Publisher
    East Tennessee REALTORS
    Data period
    Current as accessed 2026-09-06
    Scope
    12-county East Tennessee REALTORS jurisdiction including Knox County
    Accessed
    September 6, 2026
  44. 44
    REALTOR Directory
    Publisher
    East Tennessee REALTORS
    Data period
    Current as accessed 2026-09-06
    Scope
    12-county East Tennessee REALTORS jurisdiction including Knox County
    Accessed
    September 6, 2026
  45. 45
    About Us
    Publisher
    Home Builders Association of Greater Knoxville
    Data period
    Current as accessed 2026-09-06
    Scope
    17-county HBAGK jurisdiction including Knox County
    Accessed
    September 6, 2026
  46. 46
    General Contractor Category
    Publisher
    Home Builders Association of Greater Knoxville
    Data period
    Current as accessed 2026-09-06
    Scope
    HBAGK regional member directory including Knoxville
    Accessed
    September 6, 2026

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