Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in Arlington, Texas

We compared 14 franchise concepts for Arlington, Texas. Housing-system replacement demand was a leading positive mechanism.

What “best” means in this ranking“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page. It does not estimate earnings or determine which franchise is best for a particular candidate.
Analysis by Thomas Jepsen, MSc Model: 0.9.0
14Concepts evaluated
20Local sources used
20Local metrics

Evaluation set

Why these concepts were evaluated

This is not a ranking of every franchise that may be offered in the city.

14Concepts assessed

Concepts were included when enough operating-model information existed to assign a provisional local-sensitivity profile. Unresolved inputs reduce confidence or remain conditional rather than automatically excluding a concept.

A brand’s participation in our referral network does not add points or change its position.

City-level conclusions

What stood out in our assessment

Highest category average (limited comparison)Restoration

70.1 average across 2 concepts

Largest positive factorProperty replacement-cycle demand

0.3 points average among 7 affected concepts

Most assumption-sensitive rankRainbow International Restoration

Tested rank range spans 6 positions

Executive conclusion

What the ranking means for Arlington, Texas

Aire Serv, ZOOM DRAIN, and Mr. Rooter produced the highest modeled local-alignment scores in the evaluated set. Housing-system replacement demand was the strongest positive scored mechanism among 7 exposed concepts, adding 0.3 points on average. These scores describe local operating alignment, not expected returns or overall franchise quality; the offered territory and franchise economics still require separate diligence.

How this differs from a directory: the model does not award points for brand popularity, advertising placement, or referral compensation. It tests how documented local conditions interact with each concept’s operating requirements.

Best franchise opportunities assessed

Top 10 local-alignment scores from 14 concepts assessed

“Best” refers to modeled local operating alignment among the concepts assessed—not expected earnings, franchise-system quality, or candidate fit.

Rankings use full-precision scores.Displayed values use one decimal place. Identical displayed scores can therefore have different ranks, and close results should be treated as effectively similar.
RankFranchiseAlignment and tierLargest advantageLargest constraintEvidence confidence
1Aire ServHVAC installation, repair, and maintenanceInvestment: $113,308–$271,708
70.5Tier 3 · Mixed modeled alignment
+0.5 ptsProperty replacement-cycle demand No material negative local adjustmentModerate evidence confidence
2ZOOM DRAINDrain and sewer serviceInvestment: $266,250–$570,500
70.3Tier 3 · Mixed modeled alignment
+0.4 ptsProperty replacement-cycle demand No material negative local adjustmentModerate evidence confidence
3Mr. RooterPlumbingInvestment: $152,900–$298,675
70.3Tier 3 · Mixed modeled alignment
+0.3 ptsProperty replacement-cycle demand No material negative local adjustmentModerate evidence confidence
4Mister Sparky ElectricElectrical
70.3Tier 3 · Mixed modeled alignment
+0.3 ptsProperty replacement-cycle demand No material negative local adjustmentModerate evidence confidence
5Pillar To Post Home InspectorsHome inspectionInvestment: $102,690–$134,290
70.2Tier 3 · Mixed modeled alignment
+0.2 ptsProperty replacement-cycle demand No material negative local adjustmentModerate evidence confidence
6PuroCleanRestorationInvestment: $54,575–$262,145
70.1Tier 3 · Mixed modeled alignment
+0.1 ptsProperty replacement-cycle demand No material negative local adjustmentModerate evidence confidence
7Rainbow International RestorationRestorationInvestment: $185,336–$351,900
70.1Tier 3 · Mixed modeled alignment
+0.1 ptsProperty replacement-cycle demand No material negative local adjustmentModerate evidence confidence
8HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800
70.0Tier 3 · Mixed modeled alignment
No material positive local adjustmentNo material negative local adjustmentModerate evidence confidence
9Tiger AdjustersPublic insurance adjustingInvestment: $43,050–$159,500
70.0Tier 3 · Mixed modeled alignment
No material positive local adjustmentNo material negative local adjustmentModerate evidence confidence
10ActionCOACHBusiness coachingInvestment: $71,668–$303,513
70.0Tier 3 · Mixed modeled alignment
No material positive local adjustmentNo material negative local adjustmentModerate evidence confidence

View all 14 score calculations

Conditions that changed the analysis

What mattered most in Arlington, Texas

01

Large pre-1990 housing cohort supports elevated repair and system-replacement demand

This relationship affected 7 concepts and added 0.3 points on average among those exposed. Local evidence: Housing units built before 1990 in the City's 2018 ACS-based housing-age table: 98,953 housing units. [5]

02

Arlington reports approximately 15 million visitors annually and AT&T Stadium can hold up to 100,000 people

Large visitor totals demonstrate substantial tourism demand, but the City's event-specific parking controls and venue geography show that demand and access are concentrated by event, district, and time. The annual visitor count should not be converted into uniform citywide walk-in traffic or a fixed-location demand assumption without a trade-area and event-calendar check. [6] [7] [8]

03

Commercial sign rules can require engineering and prototype adaptation for specified sign formats

Requires the proposed exterior sign package, including whether a freestanding sign exceeds eight feet and whether prohibited or area-limited sign formats are part of the standard prototype. [9]

Evidence behind the city mechanisms

Large recurring Entertainment District events create concentrated demand spikes rather than uniform citywide walk-in demand3 local facts · 2 modeled effects · 3 sources
  • AT&T Stadium maximum event capacity cited by the City: 100,000 people [7] [8]
  • Entertainment District ordinance authorizes temporary event-only no-parking zones near AT&T Stadium: designated residential zones: 3; activation: Cowboys home games and selected concerts, sporting events, and other high-profile stadium events; enforcement: on-street parking prohibited where activated; violations subject to towing or fines rule conditions [8]
  • Approximate annual visitors to Arlington reported in city Entertainment District context: 15,000,000 visitors approximate per year [6]
Event-driven demand upsideTarget-market demand
Event-demand volatilityTarget-market demand
Large pre-1990 housing cohort supports elevated repair and system-replacement demand1 modeled effect
Housing-system replacement demandProperty replacement-cycle demand
Active Southeast Connector construction creates route and schedule friction in south and southeast Arlington1 modeled effect
Temporary route disruptionTransportation, routing, and parking
Recurring major-event parking controls and traffic management constrain access around AT&T Stadium1 modeled effect
Route and curb productivity pressureTransportation, routing, and parking

Compare all assessed concepts

Local impact by franchise concept

14 concepts shown. Expand a concept to see the score-changing factors and their modeled drivers; the full audit ledger stays collapsed.

#1Tier 3 · Mixed modeled alignment70.5

Aire Serv

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

Initial investment: $113,308–$271,708

Increase +0.5 pts Property replacement-cycle demandNo material negative local adjustment identified

Rank sensitivity: Stable

Why it ranks here

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

Local factorModeled driversImpact
Property replacement-cycle demand
  • Housing-system replacement demand Evidence+0.5 pts
    Primary modeled driverRelationship test: rank stays #1
+0.5 pts
Transportation, routing, and parkingTemporary route disruption EvidenceConditional — applicability must be confirmedNot scored
Net local movement+0.48 pts

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

Franchise evidence

Source material assessed

Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
1 image
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Item 19 — Financial Performance Representation
1 image
Public company data assessed
1 source
Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified so a displayed zero is not mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demandDepends on the specific site, territory, or operating condition
Property replacement-cycle demand+0.5
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.48
Published local-market alignment70.5

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

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Adequate
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Property replacement-cycle demand +0.5 pts
Tested rank range
#1–#1
#2Tier 3 · Mixed modeled alignment70.3

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Initial investment: $266,250–$570,500

Increase +0.4 pts Property replacement-cycle demandNo material negative local adjustment identified

Rank sensitivity: Moderately sensitive

Why it ranks here

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

Local factorModeled driversImpact
Property replacement-cycle demand
  • Housing-system replacement demand Evidence+0.3 pts
    Primary modeled driverRelationship test: #2 → #4
+0.3 pts
Net local movement+0.35 pts

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

Franchise evidence

Source material assessed

Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified so a displayed zero is not mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demandDepends on the specific site, territory, or operating condition
Property replacement-cycle demand+0.3
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.35
Published local-market alignment70.3

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

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Property replacement-cycle demand +0.4 pts
Tested rank range
#2–#4
#3Tier 3 · Mixed modeled alignment70.3

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Initial investment: $152,900–$298,675

Increase +0.3 pts Property replacement-cycle demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

Why it ranks here

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

Local factorModeled driversImpact
Property replacement-cycle demand
  • Housing-system replacement demand Evidence+0.3 pts
    Primary modeled driverRelationship test: #3 → #7
+0.3 pts
Net local movement+0.35 pts

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

Franchise evidence

Source material assessed

Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified so a displayed zero is not mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demandDepends on the specific site, territory, or operating condition
Property replacement-cycle demand+0.3
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.35
Published local-market alignment70.3

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

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Property replacement-cycle demand +0.3 pts
Tested rank range
#3–#7
#4Tier 3 · Mixed modeled alignment70.3

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +0.3 pts Property replacement-cycle demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

Why it ranks here

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

Local factorModeled driversImpact
Property replacement-cycle demand
  • Housing-system replacement demand Evidence+0.3 pts
    Primary modeled driverRelationship test: #4 → #8
+0.3 pts
Transportation, routing, and parkingTemporary route disruption EvidenceConditional — applicability must be confirmedNot scored
Net local movement+0.30 pts

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

Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified so a displayed zero is not mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demandDepends on the specific site, territory, or operating condition
Property replacement-cycle demand+0.3
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.30
Published local-market alignment70.3

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

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Property replacement-cycle demand +0.3 pts
Tested rank range
#4–#8
#5Tier 3 · Mixed modeled alignment70.2

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Initial investment: $102,690–$134,290

Increase +0.2 pts Property replacement-cycle demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

Why it ranks here

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

Local factorModeled driversImpact
Property replacement-cycle demand
  • Housing-system replacement demand Evidence+0.2 pts
    Primary modeled driverRelationship test: #5 → #9
+0.2 pts
Transportation, routing, and parkingTemporary route disruption EvidenceConditional — applicability must be confirmedNot scored
Net local movement+0.16 pts

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

Franchise evidence

Source material assessed

Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 19 — Financial Performance Representation
1 image
Public company data assessed
2 sources
Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified so a displayed zero is not mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demandDepends on the specific site, territory, or operating condition
Property replacement-cycle demand+0.2
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.16
Published local-market alignment70.2

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

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Property replacement-cycle demand +0.2 pts
Tested rank range
#5–#9
#6Tier 3 · Mixed modeled alignment70.1

PuroClean

Restoration · emergency property restoration

Initial investment: $54,575–$262,145

Increase +0.1 pts Property replacement-cycle demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

Why it ranks here

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

Local factorModeled driversImpact
Property replacement-cycle demand
  • Housing-system replacement demand Evidence+0.1 pts
    Primary modeled driverRelationship test: #6 → #10
+0.1 pts
Transportation, routing, and parkingTemporary route disruption EvidenceConditional — applicability must be confirmedNot scored
Net local movement+0.12 pts

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

Franchise evidence

Source material assessed

Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified so a displayed zero is not mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demandDepends on the specific site, territory, or operating condition
Property replacement-cycle demand+0.1
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.12
Published local-market alignment70.1

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

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Property replacement-cycle demand +0.1 pts
Tested rank range
#6–#10
#7Tier 3 · Mixed modeled alignment70.1

Rainbow International Restoration

Restoration · emergency property restoration

Initial investment: $185,336–$351,900

Increase +0.1 pts Property replacement-cycle demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

Why it ranks here

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

Local factorModeled driversImpact
Property replacement-cycle demand
  • Housing-system replacement demand Evidence+0.1 pts
    Primary modeled driverRelationship test: #7 → #13
+0.1 pts
Transportation, routing, and parkingRoute and curb productivity pressure EvidenceConditional — applicability must be confirmedNot scored
Net local movement+0.11 pts

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

Franchise evidence

Source material assessed

Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified so a displayed zero is not mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demandDepends on the specific site, territory, or operating condition
Property replacement-cycle demand+0.1
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.11
Published local-market alignment70.1

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

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Property replacement-cycle demand +0.1 pts
Tested rank range
#7–#13
#8Tier 3 · Mixed modeled alignment70.0

HomeSmiles

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

Initial investment: $148,110–$201,800

No material positive local adjustment identifiedNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

Why it ranks here

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

No material scored local adjustment was identified for this concept.

Franchise evidence

Source material assessed

Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified so a displayed zero is not mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demandDepends on the specific site, territory, or operating condition
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.00
Published local-market alignment70.0

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

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Adequate
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
0.0 pts
Tested rank range
#2–#8
#9Tier 3 · Mixed modeled alignment70.0

Tiger Adjusters

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

Initial investment: $43,050–$159,500

No material positive local adjustment identifiedNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

Why it ranks here

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

No material scored local adjustment was identified for this concept.

Franchise evidence

Source material assessed

Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 19 — Financial Performance Representation
1 image
Public company data assessed
1 source
Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified so a displayed zero is not mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demandDepends on the specific site, territory, or operating condition
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.00
Published local-market alignment70.0

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

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Adequate
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
0.0 pts
Tested rank range
#3–#9
#10Tier 3 · Mixed modeled alignment70.0

ActionCOACH

Business coaching · home-based B2B advisory

Initial investment: $71,668–$303,513

No material positive local adjustment identifiedNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

Why it ranks here

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

No material scored local adjustment was identified for this concept.

Franchise evidence

Source material assessed

Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified so a displayed zero is not mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demandDepends on the specific site, territory, or operating condition
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.00
Published local-market alignment70.0

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

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
0.0 pts
Tested rank range
#5–#10
#11Tier 3 · Mixed modeled alignment70.0

FASTSIGNS

Signs and graphics · B2B production and installation center

Initial investment: $231,226–$386,285

No material positive local adjustment identifiedNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

Why it ranks here

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

No material scored local adjustment was identified for this concept.

Franchise evidence

Source material assessed

Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Item 19 — Financial Performance Representation
2 images
Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified so a displayed zero is not mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demandDepends on the specific site, territory, or operating condition
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.00
Published local-market alignment70.0

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

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
0.0 pts
Tested rank range
#6–#11
#12Tier 3 · Mixed modeled alignment70.0

Workout Anytime

Fitness · fixed-location membership fitness

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

No material positive local adjustment identifiedNo material negative local adjustment identified

Rank sensitivity: Stable

Why it ranks here

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

No material scored local adjustment was identified for this concept.

Franchise evidence

Source material assessed

Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified so a displayed zero is not mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demandDepends on the specific site, territory, or operating condition
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.00
Published local-market alignment70.0

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

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
0.0 pts
Tested rank range
#11–#12
#13Tier 3 · Mixed modeled alignment70.0

City Wide

Facility management · B2B facility management and vendor coordination

Initial investment: $229,729–$410,730

No material positive local adjustment identifiedNo material negative local adjustment identified

Rank sensitivity: Stable

Why it ranks here

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

No material scored local adjustment was identified for this concept.

Franchise evidence

Source material assessed

Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified so a displayed zero is not mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demandDepends on the specific site, territory, or operating condition
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.00
Published local-market alignment70.0

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

Evidence confidence

City Modifier Evidence
Strong
Factor Research Coverage
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
0.0 pts
Tested rank range
#12–#13
#14Tier 3 · Mixed modeled alignment70.0

Jan-Pro International

Commercial cleaning · recurring commercial route service

Initial investment: $130,000–$421,500

No material positive local adjustment identifiedNo material negative local adjustment identified

Rank sensitivity: Stable

Why it ranks here

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

No material scored local adjustment was identified for this concept.

Franchise evidence

Source material assessed

Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
1 image
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence

Audit layer

Full factor ledger

Full score ledger

Every factor is classified so a displayed zero is not mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demandDepends on the specific site, territory, or operating condition
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.00
Published local-market alignment70.0

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

Evidence confidence

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

Worked score example

How we calculated Aire Serv

This example uses the same ledger shown for every concept and must reconcile exactly to the published score.

Full score ledger

Every factor is classified so a displayed zero is not mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demandDepends on the specific site, territory, or operating condition
Property replacement-cycle demand+0.5
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.48
Published local-market alignment70.5

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

Starting pointThe operating-model baseline shown in the first ledger row.
InteractionsAny interaction or gate is included in the relevant contribution or calibration row.
Confidence treatmentEvidence confidence is disclosed separately unless the model definition explicitly applies a calibration adjustment.
RoundingFull-precision contributions are summed before the final displayed score is rounded to one decimal place; whole-number results are shown without a trailing decimal.

Factor impact

Which local conditions changed scores or rankings?

We neutralized one factor at a time, recalculated every score, and then measured both absolute score movement and changes in rank order.

Observed model effectMixed or model dependent

Property replacement-cycle demand

We compared the age and condition of relevant property systems with the services each concept is actually equipped to provide.

Why concepts react differently

We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 14 concepts changed position. ZOOM DRAIN moved from #2 to #14, the largest movement among concepts directly affected by this factor.

Concepts adjusted7 of 14
Average among affected+0.3 pts
Average across all concepts+0.1 pts
Concepts changing rank14

What we observed

  • Housing Units Built Before 1990 In The City's 2018 Acs Based Housing Age Table98,953 housing units
  • Share Of Arlington Housing Units Built Before 1990 In The City's 2018 Acs Based Table67.3 percent of housing units
  • City Housing Assessment States Older Pre 1990 Stock Is More Likely To Need Repairs And Updates, While Noting Age Does Not Determine Condition For Every Propertyyes reported relationship

Concepts helped most

Aire ServHVAC installation, repair, and maintenance
+0.5 pts
ZOOM DRAINDrain and sewer service
+0.4 pts
Mr. RooterPlumbing
+0.3 pts
Mister Sparky ElectricElectrical
+0.3 pts
Pillar To Post Home InspectorsHome inspection
+0.2 pts
Measured but not differentiating in this concept set
  • Target-market demandNo material score adjustment
  • Competitive environmentNo material score adjustment
  • Labor and staffing frictionNo material score adjustment
  • Transportation, routing, and parkingNo material score adjustment
  • Real estate and site feasibilityNo material score adjustment
  • Sales and customer acquisitionNo material score adjustment
  • Referral ecosystemNo material score adjustment
  • Territory qualityNo material score adjustment
  • Regulatory and operating frictionNo material score adjustment

Rank stability

Which positions depend most on individual assumptions?

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

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

Neutralizing a factor removes it from every concept. A concept can move down even when its own score improves because competitors may benefit more.

Score-changing factors

Factors that changed the calculated scores

The graph includes the top 14 concepts by local-alignment score. Only nonzero score contributions are plotted. A factor is removed when every displayed concept received 0.0 points from it. Hover or focus a concept name to highlight all of its remaining data points.

Factor impact among the highest-rated franchise conceptsDiverging dot plot showing nonzero factor score contributions for the top 14 concepts. Zero-point concept-factor pairs are omitted, and factors with no nonzero contributions are excluded.+0.5+0.30.0-0.3-0.5
Property replacement-cycle demand
#1 Aire Serv · Property replacement-cycle demand · +0.5 pts1#2 ZOOM DRAIN · Property replacement-cycle demand · +0.4 pts2#3 Mr. Rooter · Property replacement-cycle demand · +0.3 pts3#4 Mister Sparky Electric · Property replacement-cycle demand · +0.3 pts4#5 Pillar To Post Home Inspectors · Property replacement-cycle demand · +0.2 pts5#6 PuroClean · Property replacement-cycle demand · +0.1 pts6#7 Rainbow International Restoration · Property replacement-cycle demand · +0.1 pts7
Primary source records by factorTarget-market demand: [4] [6] [7] [8] [14] [5] [1] [3]Property replacement-cycle demand: [5] [4] [11] [1]Competitive environment: [18] [4] [3]Labor and staffing friction: [15] [16] [2] [1]Transportation, routing, and parking: [12] [13] [8] [11] [20] [2] [3]Real estate and site feasibility: [17] [10] [1] [3]Sales and customer acquisition: [18] [19] [14] [6] [3]Referral ecosystem: [14] [19] [18] [3]Territory quality: [8] [6] [12] [14] [4] [3]Regulatory and operating friction: [9] [10] [19] [2] [3]
View the chart data as a table
ConceptProperty replacement-cycle demand
#1 Aire Serv+0.5 pts
#2 ZOOM DRAIN+0.4 pts
#3 Mr. Rooter+0.3 pts
#4 Mister Sparky Electric+0.3 pts
#5 Pillar To Post Home Inspectors+0.2 pts
#6 PuroClean+0.1 pts
#7 Rainbow International Restoration+0.1 pts
#8 HomeSmiles—
#9 Tiger Adjusters—
#10 ActionCOACH—
#11 FASTSIGNS—
#12 Workout Anytime—
#13 City Wide—
#14 Jan-Pro International—

Interpretation

How to interpret the result

Aire Serv, ZOOM DRAIN, Mr. Rooter led because their operating requirements captured more of the local support from property replacement-cycle demand while remaining less exposed to target-market demand. The same city condition can help one operating model and constrain another, so score differences should be read through each concept's factor pattern rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for Mr. Rooter, Mister Sparky Electric, Pillar To Post Home Inspectors; their ranks move more widely when individual factors are neutralized.

Category comparisons

Best franchise categories we assessed in Arlington, Texas

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

Limited two-concept comparison

Limited comparison: Restoration franchise opportunities assessed in Arlington, Texas

70.1

2 Restoration concepts qualified for comparison, with scores ranging from 70.1 to 70.1. PuroClean ranked highest at 70.1. Property replacement-cycle demand added 0.1 points on average among the affected concepts.

Interpret cautiously: A 0.0-point spread is too small to support a strong brand-level conclusion from city alignment alone.

Concepts compared
2
Score range
70.1–70.1
Category average
70.1
PuroClean70.1
Rainbow International Restoration70.1

Metric registry

The 20 local metrics behind this analysis

The registry shows each public metric’s raw value, period, geography, source, and its actual role in the compiled analysis.

View all local metrics
MetricRaw valuePeriodGeographyRole in analysisSource
Resident population estimate in 2024 ACS 1-year profile403,657people2024 ACS 1-year estimates unless otherwise notedArlington, TexasContext only [4]
Households in 2024 ACS 1-year profile146,132households2024 ACS 1-year estimates unless otherwise notedArlington, TexasContext only [4]
Housing units in 2024 ACS 1-year profile158,894housing units2024 ACS 1-year estimates unless otherwise notedArlington, TexasContext only [4]
University of Texas at Arlington total enrollment in Fall 202542,710studentsFall 2025 enrollmentThe University of Texas at ArlingtonConditional relationship [14]
Approximate annual visitors to Arlington reported in city Entertainment District context15,000,000visitors approximate per yearCurrent city tourism and Entertainment District context reported in June 2025Arlington, TexasSupports modeled relationship [6]
AT&T Stadium maximum event capacity cited by the City100,000peopleAT&T Stadium operations and capacity as of August 2025AT&T Stadium, Arlington Entertainment DistrictConditional relationship [7] [8]
Entertainment District ordinance authorizes temporary event-only no-parking zones near AT&T Stadiumdesignated residential zones: 3; activation: Cowboys home games and selected concerts, sporting events, and other high-profile stadium events; enforcement: on-street parking prohibited where activated; violations subject to towing or finesrule conditionsRecurring event parking controls described for 2025 and established under a 2018 ordinanceThree residential zones surrounding AT&T Stadium in Arlington's Entertainment DistrictConditional relationship [8]
Housing units built before 1990 in the City's 2018 ACS-based housing-age table98,953housing unitsPrimarily 2018 ACS and planning projections prepared in 2020Arlington, TexasUsed in scoring [5]
Share of Arlington housing units built before 1990 in the City's 2018 ACS-based table67.3percent of housing unitsPrimarily 2018 ACS and planning projections prepared in 2020Arlington, TexasUsed in scoring [5]
City housing assessment states older pre-1990 stock is more likely to need repairs and updates, while noting age does not determine condition for every propertyyesreported relationshipPrimarily 2018 ACS and planning projections prepared in 2020Arlington, TexasUsed in scoring [5]
City reports that Arlington has mostly clay soil that swells when wet and shrinks when dry, stressing pavement and accelerating roadway damageyesreported physical mechanismStreet conditions and soil-management practices reported in May 2026Arlington, TexasContext only [11]
Southeast Connector rebuild and widening scopeapproximate miles: 16; corridors: I-20, I-820, US 287; construction started: 2023; estimated substantial completion: 2028project scopeActive construction accessed August 2026; project began in 2023 and is estimated for substantial completion in 2028Southeast Tarrant County, including south Arlington segments on I-20 and US 287Conditional relationship [12] [13]
Approximate daily commuters using Southeast Connector roadways cited in City project update250,000commuters per day approximateActive construction progress through July 2025; substantial completion expected in early 2028Southeast Connector roadways in Tarrant County including Arlington segmentsConditional relationship [13]
Freestanding signs greater than eight feet require professional-engineer-signed and sealed construction planssign type: freestanding; height threshold feet: 8; requirement: construction plans signed and sealed by a professional engineerrule thresholdCurrent code guidance accessed August 12, 2026Arlington, TexasConditional relationship [9]
Current commercial sign guidance prohibits several sign formats and limits window-sign areaprohibited examples: decorative advertising flags, roof signs, portable signs, motion signs; window sign maximum percent of single window per tenant per elevation: 25rule setCurrent code guidance accessed August 12, 2026Arlington, TexasConditional relationship [9]
Commercial building permit fee formula for construction valuation above USD 5 millionbase fee usd: 22,594.5; base valuation usd: 5,000,000; incremental fee usd per 1000 over base: 3fee formulaFee schedule effective October 1, 2025Arlington, TexasContext only [10]
Non-refundable plan-review fee for commercial and multifamily building permit applications35percent of building permit feeFee schedule effective October 1, 2025Arlington, TexasContext only [10]
Dallas-Fort Worth-Arlington major occupational-group mean hourly wages compared with U.S. averagesall occupations: dfw: 32.89, us: 32.66; management: dfw: 68.53, us: 68.15; food preparation and serving: dfw: 15.69, us: 17.32; building and grounds cleaning maintenance: dfw: 17.48, us: 19.01; construction and extraction: dfw: 26.49, us: 30.73; installation maintenance and repair: dfw: 28.97, us: 29.63; transportation and material moving: dfw: 23.66, us: 23.44usd per hour meanMay 2024Dallas-Fort Worth-Arlington, Texas MSAContext only [15]
Preliminary unemployment rate in Fort Worth-Arlington-Grapevine metropolitan division in June 20264percentJune 2026 preliminary labor-force dataFort Worth-Arlington-Grapevine, TexasContext only [16]
City procurement uses a formal e-procurement portal and specified disclosure requirements for covered contractsportal transition: IonWave to Bonfire; formal bid opportunities: yes; form 1295 applies to covered contracts: yesprocess featuresCurrent procurement process accessed August 2026City of Arlington government procurementContext only [19]

How to use the ranking

What the model can and cannot establish

  • Scores measure local operating alignment, not expected financial performance or franchise-system quality.
  • Citywide evidence may not describe the exact site or territory ultimately offered.
  • Conditional effects are shown for diligence but do not change the published score until their applicability is established.

Methodology

How the local-alignment ranking is calculated

01

Measure the city

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

02

Profile each operating model

Map each franchise to controlled operating attributes and local sensitivities.

03

Apply scoreable effects

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

04

Preserve conditional effects

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

05

Test rank sensitivity

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

06

Generate public output

Create the ranking, factor-status ledger, visuals, metric registry, and automated quality report from the same data.

How the common baseline becomes a city-specific score

Every concept starts from the same 70.0 reference point, so differences come only from modeled local interactions. In this city, Aire Serv reached 70.48 after property replacement-cycle demand +0.5 pts. The current model caps total local movement at ±18.0 points. The score is not a percentage, probability, or estimate of investment quality.

Precision and materiality

Calculations use full-precision values. Published scores and factor contributions display one decimal place, while ranks use full precision. Effects smaller than 0.1 points are identified as below the publication threshold rather than presented as a meaningful zero.

Score tiers

Tier 1 · Strongest modeled alignment80.0–100.0
Tier 2 · Favorable modeled alignment72.0–<80.0
Tier 3 · Mixed modeled alignment64.0–<72.0
Tier 4 · Higher-friction modeled alignment0.0–<64.0

How factor rows are classified

Positive local adjustmentNegative local adjustmentMeasured; no meaningful local adjustmentEffect below the publication thresholdNot applicable to this operating modelDepends on the specific site, territory, or operating conditionNot included in the score
What “best” means here

“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page.

Model 0.9.0 · Compiler 0.15.1-franchise-image-filter · Report generated August 19, 2026 (site timezone)

Model governance

How this report is calculated and corrected

Calculation controls

Model designer
Thomas Jepsen

No concept’s final score is manually raised or lowered after calculation. Reports are checked for source scope, classification, arithmetic, unsupported claims, duplication, and readability before publication.

Model history

  1. Model 0.9.0-calibration · August 19, 2026Added compiler-derived decision intelligence and observation usage mapping., Changed factor sensitivity and channel counterfactuals to full model reruns., Added data-dependent city content signals while preserving legacy public report fields., and Added model-owned semantic compatibility gates and backward-compatible channel-level evidence attribution.

Corrections policy

Corrected source, geography, or operating-profile evidence triggers a full compiler rerun so every dependent score and visual is recalculated.

Source registry

Local evidence supporting this report

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

  1. 1
    Utility Delta Audit: Structural Inefficiencies and CapEx Traps in Key U.S. MarketsInternal or supplied research; not publicly accessible.
    Publisher
    Supplied research material
    Data period
    Supplied in the August 12, 2026 research task; Arlington section contains cited but partially unverified historical and market claims.
    Scope
    Arlington, Texas section within a multi-city research docket
    Locator
    Arlington, Texas section: Macro-Physical Reality; Infrastructure & Micro-Geography; Smart Money Thesis
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 12, 2026
  2. 2
    Forensic Audit Report: Municipal Deal-Killer Constraints and Structural Capital ToxicityInternal or supplied research; not publicly accessible.
    Publisher
    Supplied research material
    Data period
    Supplied in the August 12, 2026 research task; Arlington section was independently checked against current public sources.
    Scope
    Arlington, Texas section within a multi-city research docket
    Locator
    3. Arlington, Texas, subsections A-F
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 12, 2026
  3. 3
    Franchise data - remake - augInternal or supplied research; not publicly accessible.
    Publisher
    Supplied research material
    Data period
    Neighborhood research supplied August 12, 2026
    Scope
    Rows tagged Arlington, Texas, including East Arlington, Entertainment District, Lake Arlington, Meadowbrook-Shady Valley, North Arlington, and one Dalworthington Gardens row that was excluded from Arlington evidence
    Locator
    Six rows containing Arlington; Dalworthington Gardens treated as a separate municipality
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 12, 2026
  4. 4
    Arlington, TX - Profile data

    Used for: Resident population estimate in 2024 ACS 1-year profile, Households in 2024 ACS 1-year profile, and Housing units in 2024 ACS 1-year profile

    Publisher
    Census Reporter using U.S. Census Bureau ACS data
    Data period
    2024 ACS 1-year estimates unless otherwise noted
    Scope
    Arlington city, Texas
    Locator
    Population, households, housing units, income, commute time, and housing sections
    Source tier
    Tier 2 · recognized institutional research
    Accessed
    August 12, 2026
  5. 5
    Arlington Housing Needs Assessment

    Used for: Housing units built before 1990 in the City's 2018 ACS-based housing-age table, Share of Arlington housing units built before 1990 in the City's 2018 ACS-based table, and City housing assessment states older pre-1990 stock is more likely to need repairs and updates, while noting age does not determine condition for every property

    Publisher
    City of Arlington Office of Strategic Initiatives
    Published
    March 31, 2020
    Data period
    Primarily 2018 ACS and planning projections prepared in 2020
    Scope
    City of Arlington with selected comparison geographies
    Locator
    Executive Summary and Table 43, Age of Housing Stock and Year Built; discussion immediately preceding Table 43
    Source tier
    Tier 1 · government
    Accessed
    August 12, 2026
  6. 6
    How Entertainment District Growth Helps City Provide Core Services

    Used for: Approximate annual visitors to Arlington reported in city Entertainment District context

    Publisher
    City of Arlington, Texas
    Published
    June 1, 2025
    Data period
    Current city tourism and Entertainment District context reported in June 2025
    Scope
    Arlington citywide with emphasis on the Entertainment District
    Locator
    Entertainment District and tourism discussion; annual visitor count
    Source tier
    Tier 1 · government
    Accessed
    August 12, 2026
  7. 7
    Touchdown! City of Arlington Pays Off AT&T Stadium Debt 10 Years Early

    Used for: AT&T Stadium maximum event capacity cited by the City

    Publisher
    City of Arlington, Texas
    Published
    August 12, 2025
    Data period
    AT&T Stadium operations and capacity as of August 2025
    Scope
    AT&T Stadium, Arlington Entertainment District
    Locator
    Stadium capacity and major-event history
    Source tier
    Tier 1 · government
    Accessed
    August 12, 2026
  8. 8
    What to Know: Special Events Parking Rules for AT&T Stadium Events

    Used for: AT&T Stadium maximum event capacity cited by the City and Entertainment District ordinance authorizes temporary event-only no-parking zones near AT&T Stadium

    Publisher
    City of Arlington, Texas
    Published
    September 8, 2025
    Data period
    Recurring event parking controls described for 2025 and established under a 2018 ordinance
    Scope
    Three designated residential zones around AT&T Stadium in Arlington's Entertainment District
    Locator
    Ordinance purpose, activation conditions, stadium capacity, and No Parking Zone locations
    Source tier
    Tier 1 · government
    Accessed
    August 12, 2026
  9. 9
    Commercial Sign Standards

    Used for: Freestanding signs greater than eight feet require professional-engineer-signed and sealed construction plans and Current commercial sign guidance prohibits several sign formats and limits window-sign area

    Publisher
    City of Arlington, Texas
    Data period
    Current code guidance accessed August 12, 2026
    Scope
    City of Arlington commercial signs subject to the Unified Development Code
    Locator
    UDC Article 7, Section 7.6.1; prohibited-sign and window-sign guidance
    Source tier
    Tier 1 · government
    Accessed
    August 12, 2026
  10. 10
    Planning and Development Services Fee Schedule

    Used for: Commercial building permit fee formula for construction valuation above USD 5 million and Non-refundable plan-review fee for commercial and multifamily building permit applications

    Publisher
    City of Arlington, Texas
    Data period
    Fee schedule effective October 1, 2025
    Scope
    City of Arlington development and permitting applications
    Locator
    Commercial Building Permit Fees and Plan Review Fees
    Source tier
    Tier 1 · government
    Accessed
    August 12, 2026
  11. 11
    4.59 Miles of Streets Improved in SW Arlington during April 2026

    Used for: City reports that Arlington has mostly clay soil that swells when wet and shrinks when dry, stressing pavement and accelerating roadway damage

    Publisher
    City of Arlington, Texas
    Published
    May 19, 2026
    Data period
    Street conditions and soil-management practices reported in May 2026
    Scope
    Arlington roadway network; project examples in southwest Arlington
    Locator
    Factors Affecting Roadway Conditions
    Source tier
    Tier 1 · government
    Accessed
    August 12, 2026
  12. 12
    Southeast Connector

    Used for: Southeast Connector rebuild and widening scope

    Publisher
    Texas Department of Transportation
    Data period
    Active construction accessed August 2026; project began in 2023 and is estimated for substantial completion in 2028
    Scope
    I-20, I-820, and US 287 in southeast Tarrant County, including south Arlington segments
    Locator
    About, project scope, and project timeline
    Source tier
    Tier 1 · government
    Accessed
    August 12, 2026
  13. 13
    TxDOT's Transformative Southeast Connector Project Progressing

    Used for: Southeast Connector rebuild and widening scope and Approximate daily commuters using Southeast Connector roadways cited in City project update

    Publisher
    City of Arlington, Texas
    Published
    July 25, 2025
    Data period
    Active construction progress through July 2025; substantial completion expected in early 2028
    Scope
    Southeast Connector with Arlington-specific work and regional corridor effects
    Locator
    Project scale, Arlington milestones, commuter volume, and completion horizon
    Source tier
    Tier 1 · government
    Accessed
    August 12, 2026
  14. 14
    Fast Facts

    Used for: University of Texas at Arlington total enrollment in Fall 2025

    Publisher
    The University of Texas at Arlington
    Data period
    Fall 2025 enrollment
    Scope
    University of Texas at Arlington campus and enrollment
    Locator
    Our Enrollment Numbers (Fall 2025)
    Source tier
    Tier 1 · government institution
    Accessed
    August 12, 2026
  15. 15
    Occupational Employment and Wages in Dallas-Fort Worth-Arlington — May 2024

    Used for: Dallas-Fort Worth-Arlington major occupational-group mean hourly wages compared with U.S. averages

    Publisher
    U.S. Bureau of Labor Statistics
    Published
    June 17, 2025
    Data period
    May 2024
    Scope
    Dallas-Fort Worth-Arlington metropolitan statistical area
    Locator
    Table A major occupational group employment shares and mean hourly wages
    Source tier
    Tier 1 · government
    Accessed
    August 12, 2026
  16. 16
    Fort Worth-Arlington-Grapevine, TX Economy at a Glance

    Used for: Preliminary unemployment rate in Fort Worth-Arlington-Grapevine metropolitan division in June 2026

    Publisher
    U.S. Bureau of Labor Statistics
    Published
    July 22, 2026
    Data period
    June 2026 preliminary labor-force data
    Scope
    Fort Worth-Arlington-Grapevine metropolitan division
    Locator
    Employment, unemployment, and unemployment-rate series
    Source tier
    Tier 1 · government
    Accessed
    August 12, 2026
  17. 17
    MarketBeat Dallas/Fort Worth Industrial Q2 2026
    Publisher
    Cushman & Wakefield
    Published
    July 1, 2026
    Data period
    Second quarter 2026
    Scope
    Dallas-Fort Worth industrial market and named submarkets; not Arlington small-bay inventory
    Locator
    Q2 2026 industrial vacancy, asking-rent, absorption, and size-segment discussion
    Source tier
    Tier 3 · credible industry
    Accessed
    August 12, 2026
  18. 18
    County Business Patterns (CBP) APIs — 2023
    Publisher
    U.S. Census Bureau
    Published
    June 26, 2025
    Data period
    Calendar year 2023
    Scope
    County, MSA, ZIP Code, and other supported geographies by detailed NAICS
    Locator
    Dataset scope and geography/NAICS availability
    Source tier
    Tier 1 · government
    Accessed
    August 12, 2026
  19. 19
    Bidding & Procurement

    Used for: City procurement uses a formal e-procurement portal and specified disclosure requirements for covered contracts

    Publisher
    City of Arlington, Texas
    Data period
    Current procurement process accessed August 2026
    Scope
    City of Arlington procurement opportunities and vendor process
    Locator
    Procurement portal transition, bid opportunities, and Form 1295 guidance
    Source tier
    Tier 1 · government
    Accessed
    August 12, 2026
  20. 20
    Notice of Availability of Finding of No Significant Impact and Final Environmental Assessment for I-30 from Bass Pro Drive to west of FM 2642
    Publisher
    Texas Department of Transportation
    Published
    March 21, 2019
    Data period
    Project geography established in 2019 environmental review
    Scope
    Dallas and Rockwall counties; used only to test and exclude a supplied Arlington-specific claim
    Locator
    Project limits and cities; Dalrock Road to SH 205 segment description
    Source tier
    Tier 1 · government
    Accessed
    August 12, 2026

Before contacting a franchisor

Complete the next layer of due diligence

  • Confirm the exact protected territory and neighboring units.
  • Review the current Franchise Disclosure Document.
  • Validate local staffing, licensing, insurance, and service-base assumptions.
  • Obtain location, vehicle, buildout, or working-capital estimates.
  • Speak with current and former franchisees.
  • Build a candidate-specific financial scenario.

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