69.6 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Boston, Massachusetts
We compared 14 franchise concepts for Boston, Massachusetts. Professional and institutional relationship density was a leading positive mechanism. Management and technical labor pressure was a leading operating constraint.
Evaluation set
Why these concepts were evaluated
This is not a ranking of every franchise that may be offered in the city.
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
0.7 points average among 8 affected concepts
1.1 points average reduction among 14 affected concepts
Tested rank range spans 10 positions
Executive conclusion
What the ranking means for Boston, Massachusetts
City Wide, ActionCOACH, and Mister Sparky Electric produced the highest modeled local-alignment scores in the evaluated set. Professional and institutional relationship density was the strongest positive scored mechanism among 8 exposed concepts, adding 0.7 points on average. Management and technical labor pressure was the broadest operating constraint, reducing exposed concepts by 0.7 points on average. Jan-Pro International was especially relationship-sensitive: removing frontline labor pressure moved it from #11 to #2 in the full model rerun. These scores describe local operating alignment, not expected returns or overall franchise quality; the offered territory and franchise economics still require separate diligence.
How this differs from a directory: the model does not award points for brand popularity, advertising placement, or referral compensation. It tests how documented local conditions interact with each concept’s operating requirements.
Best franchise opportunities assessed
Top 10 local-alignment scores from 14 concepts assessed
“Best” refers to modeled local operating alignment among the concepts assessed—not expected earnings, franchise-system quality, or candidate fit.
| Rank | Franchise | Alignment and tier | Largest advantage | Largest constraint | Evidence confidence |
|---|---|---|---|---|---|
| 1 | City WideFacility managementInvestment: $229,729–$410,730 | 70.8Tier 3 · Mixed modeled alignment | +1.1 ptsReferral ecosystem | -1.3 ptsLabor and staffing friction | Moderate evidence confidence |
| 2 | ActionCOACHBusiness coachingInvestment: $71,668–$303,513 | 70.4Tier 3 · Mixed modeled alignment | +0.9 ptsReferral ecosystem | -0.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 3 | Mister Sparky ElectricElectrical | 70.0Tier 3 · Mixed modeled alignment | +0.6 ptsProperty replacement-cycle demand | -0.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 4 | ZOOM DRAINDrain and sewer serviceInvestment: $266,250–$570,500 | 70.0Tier 3 · Mixed modeled alignment | +0.6 ptsReferral ecosystem | -0.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 5 | HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800 | 69.9Tier 3 · Mixed modeled alignment | +0.9 ptsReferral ecosystem | -1.3 ptsLabor and staffing friction | Moderate evidence confidence |
| 6 | FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285 | 69.8Tier 3 · Mixed modeled alignment | +0.5 ptsReferral ecosystem | -1.0 ptsLabor and staffing friction | Moderate evidence confidence |
| 7 | Rainbow International RestorationRestorationInvestment: $185,336–$351,900 | 69.6Tier 3 · Mixed modeled alignment | +0.8 ptsReferral ecosystem | -1.3 ptsLabor and staffing friction | Moderate evidence confidence |
| 8 | PuroCleanRestorationInvestment: $54,575–$262,145 | 69.6Tier 3 · Mixed modeled alignment | +0.8 ptsReferral ecosystem | -1.2 ptsLabor and staffing friction | Moderate evidence confidence |
| 9 | Pillar To Post Home InspectorsHome inspectionInvestment: $102,690–$134,290 | 69.5Tier 3 · Mixed modeled alignment | No material positive local adjustment | -0.5 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | Mr. RooterPlumbingInvestment: $152,900–$298,675 | 69.5Tier 3 · Mixed modeled alignment | No material positive local adjustment | -0.5 ptsLabor and staffing friction | Moderate evidence confidence |
Conditions that changed the analysis
What mattered most in Boston, Massachusetts
Dense medical, research, and higher-education referral and procurement ecosystem
This relationship affected 8 concepts and added 0.7 points on average among those exposed. Local evidence: NIH funding awarded to Boston researchers in federal fiscal year 2025: total awards usd: 2,460,000,000; grant count: 3,983; national recipient rank: 2 usd grants and rank. [10] [11]
Metropolitan wage premium for technical, administrative, sales, and management labor
This relationship affected 14 concepts and reduced 0.7 points on average among those exposed. Local evidence: Mean hourly wages for selected major occupational groups in the Boston metropolitan area and nationally: all occupations: boston usd per hour: 43.09, us usd per hour: 33.54; management: boston usd per hour: 88.02, us usd per hour: 69.84; sales and related: boston usd per hour: 32.1, us usd per hour: 26.43; office and administrative support: boston usd per hour: 28.64, us usd per hour: 24.79; construction and extraction: boston usd per hour: 39.88, us usd per hour: 31.42; installation maintenance and repair: boston usd per hour: 34.98, us usd per hour: 30.44; building and grounds cleaning and maintenance: boston usd per hour: 23.2, us usd per hour: 19.66; food preparation and serving: boston usd per hour: 20.59, us usd per hour: 17.86. [12]
asset-light-b2b
This operating-model cluster separated from the broader set because its exposure to local support and constraints differed. The strongest positive factor was referral ecosystem, while the main constraint was labor and staffing friction. [12] [13] [3] [11] [10]
Evidence behind the city mechanisms
BERDO obligations for covered existing buildings3 local facts · 2 modeled effects · 2 sources
- BERDO coverage thresholds for existing buildings and tax parcels: residential minimum units: 15; nonresidential minimum gross sqft: 20,000; multi building parcel minimum units: 15; multi building parcel minimum gross sqft: 20,000 thresholds [4]
- BERDO-covered owners must report energy and water use, complete recurring third-party verification, and meet declining emissions standards: annual reporting: yes; third party verification: yes; emissions reduction standard: yes; net zero target year: 2,050 categorical and year [4] [5]
- BERDO emissions compliance begins in 2025 or 2030 depending on building size, with first emissions verification in 2026 or 2031: first emissions compliance years: 2,025, 2,030; first emissions verification years: 2,026, 2,031; verification interval years: 5 [4]
Large hospital and medical-research account concentration, especially in Longwood3 local facts · 2 modeled effects · 3 sources
- NIH funding awarded to Boston researchers in federal fiscal year 2025: total awards usd: 2,460,000,000; grant count: 3,983; national recipient rank: 2 usd grants and rank [10]
- Selected city business receipts and sales in 2022: health care and social assistance receipts usd: 32,335,280,000; retail sales usd: 22,142,967,000; transportation and warehousing receipts usd: 7,045,058,000; accommodation and food services sales usd: 6,741,284,000 [3]
- Longwood Medical and Academic Area activity scale: workers: 73,000; students: 24,000; annual patient visits: 3,800,000 people and annual visits [11]
Dense medical, research, and higher-education referral and procurement ecosystem2 local facts · 2 modeled effects · 2 sources
- NIH funding awarded to Boston researchers in federal fiscal year 2025: total awards usd: 2,460,000,000; grant count: 3,983; national recipient rank: 2 usd grants and rank [10]
- Longwood Medical and Academic Area activity scale: workers: 73,000; students: 24,000; annual patient visits: 3,800,000 people and annual visits [11]
Metropolitan wage premium for technical, administrative, sales, and management labor1 modeled effect
Metropolitan wage premium for frontline service and building-maintenance labor1 modeled effect
Recurring snow-emergency parking and curb-access restrictions1 modeled effect
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.
City Wide
Initial investment: $229,729–$410,730
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -1.3 pts | |
| Referral ecosystem |
| +1.1 pts |
| Target-market demand |
| +1.0 pts |
| Net local movement | +0.83 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.0 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.3 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +1.1 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.83 |
| Published local-market alignment | 70.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.3 pts
- Tested rank range
- #1–#4
ActionCOACH
Initial investment: $71,668–$303,513
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Referral ecosystem |
| +0.9 pts |
| Labor and staffing friction |
| -0.6 pts |
| Target-market demand |
| +0.1 pts |
| Net local movement | +0.43 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.1 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.9 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.43 |
| Published local-market alignment | 70.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.9 pts
- Tested rank range
- #1–#3
Mister Sparky Electric
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Property replacement-cycle demand |
| +0.6 pts |
| Labor and staffing friction |
| -0.6 pts |
| Transportation, routing, and parking | Winter parking and access pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +0.04 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 confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.6 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.04 |
| Published local-market alignment | 70.0 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.6 pts
- Tested rank range
- #1–#10
ZOOM DRAIN
Initial investment: $266,250–$570,500
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction |
| -0.6 pts |
| Referral ecosystem |
| +0.6 pts |
| Transportation, routing, and parking | Winter parking and access pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | -0.01 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.6 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.99 |
| Published local-market alignment | 70.0 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.6 pts
- Tested rank range
- #3–#8
HomeSmiles
Initial investment: $148,110–$201,800
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -1.3 pts | |
| Referral ecosystem |
| +0.9 pts |
| Target-market demand |
| +0.4 pts |
| Net local movement | -0.07 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.4 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.3 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.9 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.93 |
| Published local-market alignment | 69.9 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.3 pts
- Tested rank range
- #2–#8
FASTSIGNS
Initial investment: $231,226–$386,285
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction |
| -1.0 pts |
| Referral ecosystem |
| +0.5 pts |
| Target-market demand |
| +0.4 pts |
| Net local movement | -0.17 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.4 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.0 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.5 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.83 |
| Published local-market alignment | 69.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.0 pts
- Tested rank range
- #5–#8
Rainbow International Restoration
Initial investment: $185,336–$351,900
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -1.3 pts | |
| Referral ecosystem |
| +0.8 pts |
| Target-market demand |
| +0.1 pts |
| Transportation, routing, and parking | Winter parking and access pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | -0.43 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.1 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.3 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.8 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.57 |
| Published local-market alignment | 69.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.3 pts
- Tested rank range
- #5–#12
PuroClean
Initial investment: $54,575–$262,145
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -1.2 pts | |
| Referral ecosystem |
| +0.8 pts |
| Net local movement | -0.45 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.2 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.8 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.55 |
| Published local-market alignment | 69.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.2 pts
- Tested rank range
- #6–#13
Pillar To Post Home Inspectors
Initial investment: $102,690–$134,290
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction |
| -0.5 pts |
| Net local movement | -0.52 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.5 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.48 |
| Published local-market alignment | 69.5 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.5 pts
- Tested rank range
- #4–#13
Mr. Rooter
Initial investment: $152,900–$298,675
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction |
| -0.5 pts |
| Transportation, routing, and parking | Winter parking and access pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | -0.55 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.5 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.45 |
| Published local-market alignment | 69.5 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.5 pts
- Tested rank range
- #5–#12
Jan-Pro International
Initial investment: $130,000–$421,500
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -1.8 pts | |
| Target-market demand |
| +0.7 pts |
| Referral ecosystem |
| +0.3 pts |
| Net local movement | -0.80 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.7 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.8 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.3 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.20 |
| Published local-market alignment | 69.2 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.8 pts
- Tested rank range
- #4–#14
Tiger Adjusters
Initial investment: $43,050–$159,500
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -1.1 pts | |
| Net local movement | -1.14 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.1 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 68.86 |
| Published local-market alignment | 68.9 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.1 pts
- Tested rank range
- #10–#12
Aire Serv
Initial investment: $113,308–$271,708
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -1.6 pts | |
| Property replacement-cycle demand |
| +0.5 pts |
| Transportation, routing, and parking | Winter parking and access pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | -1.15 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.5 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.6 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 68.85 |
| Published local-market alignment | 68.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.6 pts
- Tested rank range
- #10–#14
Workout Anytime
Initial investment: $1,060,850–$1,840,550
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -1.4 pts | |
| Net local movement | -1.40 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.4 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 68.60 |
| Published local-market alignment | 68.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.4 pts
- Tested rank range
- #13–#14
No franchise concepts match the selected filters.
Worked score example
How we calculated City Wide
This example uses the same ledger shown for every concept and must reconcile exactly to the published score.
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.0 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.3 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +1.1 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.83 |
| Published local-market alignment | 70.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
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.
Target-market demand
We tested how much of the city’s theoretical customer and business demand remained usable after operating friction.
Why concepts react differently
We applied a measurable adjustment to 6 of 14 concepts. When we neutralized the factor and recalculated the table, 14 concepts changed position. FASTSIGNS moved from #6 to #10, the largest movement among concepts directly affected by this factor.
Concepts helped most
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 2 of 14 concepts. When we neutralized the factor and recalculated the table, 10 concepts changed position. Mister Sparky Electric moved from #3 to #10, the largest movement among concepts directly affected by this factor.
Concepts helped most
Labor and staffing friction
We compared each concept’s frontline and specialist staffing requirements with the local labor environment.
Why concepts react differently
We applied a measurable adjustment to 14 of 14 concepts. When we neutralized the factor and recalculated the table, 10 concepts changed position. Jan-Pro International moved from #11 to #4, the largest movement among concepts directly affected by this factor.
What we observed
- Mean Hourly Wages For Selected Major Occupational Groups In The Boston Metropolitan Area And Nationallyall occupations: boston usd per hour: 43.09, us usd per hour: 33.54; management: boston usd per hour: 88.02, us usd per hour: 69.84; sales and related: boston usd per hour: 32.1, us usd per hour: 26.43; office and administrative support: boston usd per hour: 28.64, us usd per hour: 24.79; construction and extraction: boston usd per hour: 39.88, us usd per hour: 31.42; installation maintenance and repair: boston usd per hour: 34.98, us usd per hour: 30.44; building and grounds cleaning and maintenance: boston usd per hour: 23.2, us usd per hour: 19.66; food preparation and serving: boston usd per hour: 20.59, us usd per hour: 17.86
- Calculated Boston Area Wage Premiums Over National Means For Overlapping Franchise Labor Groupsall occupations percent: 28.5; management percent: 26; sales and related percent: 21.5; office and administrative support percent: 15.5; construction and extraction percent: 26.9; installation maintenance and repair percent: 14.9; building and grounds cleaning and maintenance percent: 18; food preparation and serving percent: 15.3 percent premium
- The City Research Report Characterizes The Market Entering 2026 As Frozen Or Cooling Rather Than Documenting A Universal Worker Shortagedirection: cooling or frozen; interpretation: wage pressure does not equal uniform current shortage categorical
Concepts challenged most
Referral ecosystem
We tested whether the local professional and institutional referral ecosystem materially separated the assessed concepts.
Why concepts react differently
We applied a measurable adjustment to 8 of 14 concepts. When we neutralized the factor and recalculated the table, 12 concepts changed position. Rainbow International Restoration moved from #7 to #11, the largest movement among concepts directly affected by this factor.
Concepts helped most
- Competitive environmentNo 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
- 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.
Neutralizing a factor removes it from every concept. A concept can move down even when its own score improves because competitors may benefit more.
Original factor comparison
How each factor affected the highest-rated franchise concepts
The graph includes the top 14 concepts by local-alignment score. Only nonzero score contributions are plotted. A factor is removed when every displayed concept received 0.0 points from it. Hover or focus a concept name to highlight all of its remaining data points.
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Labor and staffing friction | Referral ecosystem |
|---|---|---|---|---|
| #1 City Wide | +1.0 pts | — | -1.3 pts | +1.1 pts |
| #2 ActionCOACH | +0.1 pts | — | -0.6 pts | +0.9 pts |
| #3 Mister Sparky Electric | — | +0.6 pts | -0.6 pts | — |
| #4 ZOOM DRAIN | — | — | -0.6 pts | +0.6 pts |
| #5 HomeSmiles | +0.4 pts | — | -1.3 pts | +0.9 pts |
| #6 FASTSIGNS | +0.4 pts | — | -1.0 pts | +0.5 pts |
| #7 Rainbow International Restoration | +0.1 pts | — | -1.3 pts | +0.8 pts |
| #8 PuroClean | — | — | -1.2 pts | +0.8 pts |
| #9 Pillar To Post Home Inspectors | — | — | -0.5 pts | — |
| #10 Mr. Rooter | — | — | -0.5 pts | — |
| #11 Jan-Pro International | +0.7 pts | — | -1.8 pts | +0.3 pts |
| #12 Tiger Adjusters | — | — | -1.1 pts | — |
| #13 Aire Serv | — | +0.5 pts | -1.6 pts | — |
| #14 Workout Anytime | — | — | -1.4 pts | — |
Interpretation
How to interpret the result
City Wide, ActionCOACH, Mister Sparky Electric led because their operating requirements captured more of the local support from referral ecosystem while remaining less exposed to labor and staffing friction. The same city condition can help one operating model and constrain another, so score differences should be read through each concept's factor pattern rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for Mister Sparky Electric, ZOOM DRAIN, HomeSmiles; their ranks move more widely when individual factors are neutralized.
Local evidence assessed for modeling
Category comparisons
Best franchise categories we assessed in Boston, Massachusetts
Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.
Best Restoration franchise opportunities we assessed in Boston, Massachusetts
2 Restoration concepts qualified for comparison, with scores ranging from 69.6 to 69.6. Rainbow International Restoration ranked highest at 69.6. Referral ecosystem added 0.8 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 1.3 points on average.
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
- 69.6–69.6
- Category average
- 69.6
Metric registry
The 25 local metrics behind this analysis
The registry shows each public metric’s raw value, period, geography, source, and its actual role in the compiled analysis.
View all local metrics
| Metric | Raw value | Period | Geography | Role in analysis | Source |
|---|---|---|---|---|---|
| Resident population estimate on July 1, 2025 | 672,973people | July 1, 2025 population estimate; 2020-2024 ACS; 2022 Economic Census; 2020 Census geography | Boston, Massachusetts | Context only | [3] |
| Population change from the April 2020 estimate base to July 2025 | -0.8percent | July 1, 2025 population estimate; 2020-2024 ACS; 2022 Economic Census; 2020 Census geography | Boston, Massachusetts | Context only | [3] |
| Estimated households in the 2020-2024 ACS period | 283,374households | July 1, 2025 population estimate; 2020-2024 ACS; 2022 Economic Census; 2020 Census geography | Boston, Massachusetts | Context only | [3] |
| Population density in the 2020 Census | 13,976.7people per square mile | July 1, 2025 population estimate; 2020-2024 ACS; 2022 Economic Census; 2020 Census geography | Boston, Massachusetts | Context only | [3] |
| Selected housing and income indicators | owner occupied rate percent: 35.7; median owner value usd: 731,700; median gross rent usd: 2,147; median household income usd: 97,344; poverty rate percent: 16.6mixed housing and income indicators | July 1, 2025 population estimate; 2020-2024 ACS; 2022 Economic Census; 2020 Census geography | Boston, Massachusetts | Context only | [3] |
| Selected city business receipts and sales in 2022 | health care and social assistance receipts usd: 32,335,280,000; retail sales usd: 22,142,967,000; transportation and warehousing receipts usd: 7,045,058,000; accommodation and food services sales usd: 6,741,284,000usd | July 1, 2025 population estimate; 2020-2024 ACS; 2022 Economic Census; 2020 Census geography | Boston, Massachusetts | Supports modeled relationship | [3] |
| BERDO coverage thresholds for existing buildings and tax parcels | residential minimum units: 15; nonresidential minimum gross sqft: 20,000; multi building parcel minimum units: 15; multi building parcel minimum gross sqft: 20,000thresholds | Current program rules, thresholds, reporting, verification, and emissions-compliance requirements accessed July 2026 | Boston BERDO-covered buildings and parcels | Supports modeled relationship | [4] |
| BERDO-covered owners must report energy and water use, complete recurring third-party verification, and meet declining emissions standards | annual reporting: yes; third party verification: yes; emissions reduction standard: yes; net zero target year: 2,050categorical and year | Current program rules, thresholds, reporting, verification, and emissions-compliance requirements accessed July 2026 | Boston BERDO-covered buildings and parcels | Supports modeled relationship | [4] [5] |
| BERDO emissions compliance begins in 2025 or 2030 depending on building size, with first emissions verification in 2026 or 2031 | first emissions compliance years: 2,025, 2,030; first emissions verification years: 2,026, 2,031; verification interval years: 5years | Current program rules, thresholds, reporting, verification, and emissions-compliance requirements accessed July 2026 | Boston BERDO-covered buildings and parcels | Supports modeled relationship | [4] |
| Article 37 Net Zero Carbon and climate-review thresholds for qualifying Article 80 projects beginning July 1, 2025 | effective date: 2025-07-01; small project minimum gross sqft: 20,000; small project minimum residential units: 15; large project embodied carbon reporting minimum gross sqft: 50,000thresholds | Requirements applying to qualifying Article 80 filings beginning July 1, 2025 | Qualifying Boston Article 80 development projects | Conditional relationship | [6] |
| Current Linkage rates and threshold for qualifying Development Impact Projects | incremental gross sqft threshold: 50,000; threshold operator: greater than; laboratory rate usd per sqft: 30.78; other commercial rate usd per sqft: 23.09; jobs trust share percent: 16; housing trust share percent: 84mixed threshold and usd per square foot | Current linkage thresholds, covered uses, and rates accessed July 2026 | Boston commercial projects requiring zoning relief and meeting covered-use and size conditions | Conditional relationship | [7] [2] |
| The GCOD is mapped on filled land where many buildings are supported on wooden piles | filled land with wooden pile foundation contextcategorical | Article 32 GCOD rules and amendments approved October 22, 2025 | Boston Groundwater Conservation Overlay District | Conditional relationship | [8] [1] |
| Article 32 regulates groundwater protection and requires relevant project approvals within the GCOD | zoning article: 32; groundwater protection goal: yes; substantial rehabilitation requires zba relief for gcod only: no; substantial rehabilitation still requires groundwater trust and water sewer approval: yescategorical | Article 32 GCOD rules and amendments approved October 22, 2025 | Boston Groundwater Conservation Overlay District | Conditional relationship | [8] |
| CFROD mapping is based on areas anticipated to flood in a 1-percent-chance storm in 2070 with 40 inches of sea-level rise | annual chance percent: 1; scenario year: 2,070; sea level rise inches: 40hazard scenario | Article 25A current rules accessed July 2026; 2070 design scenario | Boston Coastal Flood Resilience Overlay District | Conditional relationship | [9] |
| Article 25A establishes design elevations and resilience review for applicable new construction and retrofits | zoning article: 25A; new construction: yes; retrofits: yes; review phases: initial filing, design or building permit filingcategorical | Article 25A current rules accessed July 2026; 2070 design scenario | Boston Coastal Flood Resilience Overlay District | Conditional relationship | [9] |
| NIH funding awarded to Boston researchers in federal fiscal year 2025 | total awards usd: 2,460,000,000; grant count: 3,983; national recipient rank: 2usd grants and rank | Federal fiscal year 2025 NIH awards to Boston researchers | Boston research institutions | Supports modeled relationship | [10] |
| Longwood Medical and Academic Area activity scale | workers: 73,000; students: 24,000; annual patient visits: 3,800,000people and annual visits | Fiscal year 2025 activity and current district scale | Longwood Medical and Academic Area, Boston | Supports modeled relationship | [11] |
| Mean hourly wages for selected major occupational groups in the Boston metropolitan area and nationally | all occupations: boston usd per hour: 43.09, us usd per hour: 33.54; management: boston usd per hour: 88.02, us usd per hour: 69.84; sales and related: boston usd per hour: 32.1, us usd per hour: 26.43; office and administrative support: boston usd per hour: 28.64, us usd per hour: 24.79; construction and extraction: boston usd per hour: 39.88, us usd per hour: 31.42; installation maintenance and repair: boston usd per hour: 34.98, us usd per hour: 30.44; building and grounds cleaning and maintenance: boston usd per hour: 23.2, us usd per hour: 19.66; food preparation and serving: boston usd per hour: 20.59, us usd per hour: 17.86usd per hour | May 2025 occupational employment and wage estimates; reissued June 24, 2026 | Boston-Cambridge-Newton, MA-NH | Used in scoring | [12] |
| Calculated Boston-area wage premiums over national means for overlapping franchise labor groups | all occupations percent: 28.5; management percent: 26; sales and related percent: 21.5; office and administrative support percent: 15.5; construction and extraction percent: 26.9; installation maintenance and repair percent: 14.9; building and grounds cleaning and maintenance percent: 18; food preparation and serving percent: 15.3percent premium | May 2025 occupational employment and wage estimates; reissued June 24, 2026 | Boston-Cambridge-Newton, MA-NH | Used in scoring | [12] |
| The city research report characterizes the market entering 2026 as frozen or cooling rather than documenting a universal worker shortage | direction: cooling or frozen; interpretation: wage pressure does not equal uniform current shortagecategorical | Boston labor-market conditions entering 2026 | Boston, Massachusetts | Used in scoring | [13] |
| Greater Boston industrial market indicators in Q2 2026 | vacancy percent: 12.4; year to date new deliveries sqft minimum: 1,400,000; direct average asking rent usd per sqft: 16.06; asking rent year over year change percent: 8mixed market indicators | Second quarter and first half of 2026 | Greater Boston industrial market | Context only | [14] |
| Metropolitan industrial report describes high overall vacancy, new large deliveries, and a relatively small small- or shallow-bay product segment | overall vacancy percent: 9.9; small or shallow bay inventory share: relatively minor; reported average asking rent usd per sqft nnn: 16.76; premium specialized facility asking rent usd per sqft nnn: greater than 55mixed market indicators | First half of 2026 | Metropolitan Boston industrial and flex market | Context only | [15] |
| Parking is prohibited on posted major roads and arteries during declared snow emergencies and vehicles may be ticketed and towed | parking prohibited on posted routes: yes; ticketing: yes; towing: yescategorical | Current parking rules accessed July 2026 | Posted Boston snow-emergency arteries | Conditional relationship | [16] |
| Two documented 2026 snow emergencies activated parking bans and towing on posted routes | documented event start dates: 2026-01-25, 2026-02-22; documented event count: 2; february event end date: 2026-02-24events | January 25, 2026 snow emergency | Boston, Massachusetts | Conditional relationship | [17] [18] |
| The FY26 parcel layer exposes year-built, year-remodeled, roof, structure, and condition fields | year built field: YR BUILT; year remodeled field: YR REMODEL; condition fields: INT COND, EXT COND, OVERALL COND; roof fields: ROOF STRUCTURE, ROOF COVERfield inventory | Fiscal year 2026 assessment layer | Boston assessed parcels and structures | Context 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
Measure the city
Collect reusable local metrics with source, period, geography, and confidence fields.
Profile each operating model
Map each franchise to controlled operating attributes and local sensitivities.
Apply scoreable effects
Score only effects that apply without an unresolved site, territory, customer, or project gate.
Preserve conditional effects
Keep location- or territory-dependent issues visible for diligence without automatically changing the score.
Test rank sensitivity
Remove one factor at a time from every concept and rerank using full-precision scores.
Generate public output
Create the ranking, factor-status ledger, visuals, metric registry, and automated quality report from the same data.
How the common baseline becomes a city-specific score
Every concept starts from the same 70.0 reference point, so differences come only from modeled local interactions. In this city, City Wide reached 70.83 after labor and staffing friction -1.3 pts, referral ecosystem +1.1 pts, and target-market demand +1.0 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
How factor rows are classified
“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page.
Model governance
How this report is calculated and corrected
Calculation controls
- Model designer
- Thomas Jepsen
No concept’s final score is manually raised or lowered after calculation. Before this template is activated, the report is reviewed for source scope, classification, arithmetic, unsupported claims, duplication, and readability.
Model history
- Model 0.9.0-calibration · August 19, 2026Added compiler-derived decision intelligence and observation usage mapping., Changed factor sensitivity and channel counterfactuals to full model reruns., Added data-dependent city content signals while preserving legacy public report fields., and Added model-owned semantic compatibility gates and backward-compatible channel-level evidence attribution.
Corrections policy
Corrected source, geography, or operating-profile evidence triggers a full compiler rerun so every dependent score and visual is recalculated.
Source registry
Evidence represented in this report
Each source identifies its period, scope, and the local metrics it supports. Internal or supplied research is not presented as independently accessible evidence.
- 1Structural Inefficiencies and Asymmetric Franchise Opportunities in Tier-1 U.S. MarketsInternal or supplied research; not publicly accessible.
Used for: The GCOD is mapped on filled land where many buildings are supported on wooden piles
- 2Structural Constraints and Hidden Municipal Costs: A Forensic Audit of Ten U.S. JurisdictionsInternal or supplied research; not publicly accessible.
Used for: Current Linkage rates and threshold for qualifying Development Impact Projects
- 3QuickFacts: Boston city, Massachusetts
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Estimated households in the 2020-2024 ACS period, Population density in the 2020 Census, and Selected housing and income indicators
- 4Building Emissions Reduction and Disclosure Ordinance (BERDO)
Used for: BERDO coverage thresholds for existing buildings and tax parcels, BERDO-covered owners must report energy and water use, complete recurring third-party verification, and meet declining emissions standards, and BERDO emissions compliance begins in 2025 or 2030 depending on building size, with first emissions verification in 2026 or 2031
- 5BERDO Regulations Development
Used for: BERDO-covered owners must report energy and water use, complete recurring third-party verification, and meet declining emissions standards
- 6Article 37 Green Building and Climate Resiliency Guidelines
Used for: Article 37 Net Zero Carbon and climate-review thresholds for qualifying Article 80 projects beginning July 1, 2025
- 7Linkage: Development Impact Project Exactions
Used for: Current Linkage rates and threshold for qualifying Development Impact Projects
- 8Updating the Groundwater Conservation Overlay District
Used for: The GCOD is mapped on filled land where many buildings are supported on wooden piles and Article 32 regulates groundwater protection and requires relevant project approvals within the GCOD
- 9Coastal Flood Resilience Guidelines and Zoning Overlay District (Article 25A)
Used for: CFROD mapping is based on areas anticipated to flood in a 1-percent-chance storm in 2070 with 40 inches of sea-level rise and Article 25A establishes design elevations and resilience review for applicable new construction and retrofits
- 10Unpacking Boston's FY2025 NIH Funding
Used for: NIH funding awarded to Boston researchers in federal fiscal year 2025
- 11Longwood Collective Fiscal Year 2025 Annual Report summary
Used for: Longwood Medical and Academic Area activity scale
- 12Occupational Employment and Wages in Boston-Cambridge-Newton — May 2025
Used for: Mean hourly wages for selected major occupational groups in the Boston metropolitan area and nationally and Calculated Boston-area wage premiums over national means for overlapping franchise labor groups
- 13Labor Market Update 2026
Used for: The city research report characterizes the market entering 2026 as frozen or cooling rather than documenting a universal worker shortage
- 14Boston Industrial MarketBeat Q2 2026
Used for: Greater Boston industrial market indicators in Q2 2026
- 15Mid-Year 2026 Boston Industrial Report
Used for: Metropolitan industrial report describes high overall vacancy, new large deliveries, and a relatively small small- or shallow-bay product segment
- 16Snow Emergency Parking
Used for: Parking is prohibited on posted major roads and arteries during declared snow emergencies and vehicles may be ticketed and towed
- 17Cold Emergency Declared; Snow Emergency Parking Enforcement Begins Sunday Morning
Used for: Two documented 2026 snow emergencies activated parking bans and towing on posted routes
- 18Snow Emergency — Parking Ban Begins Sunday at 2:00 PM
Used for: Two documented 2026 snow emergencies activated parking bans and towing on posted routes
- 19Property Assessment Parcel Join FY26
Used for: The FY26 parcel layer exposes year-built, year-remodeled, roof, structure, and condition fields
Before contacting a franchisor
Complete the next layer of due diligence
- Confirm the exact protected territory and neighboring units.
- Review the current Franchise Disclosure Document.
- Validate local staffing, licensing, insurance, and service-base assumptions.
- Obtain location, vehicle, buildout, or working-capital estimates.
- Speak with current and former franchisees.
- Build a candidate-specific financial scenario.
Apply the analysis to your situation
Review how these market findings apply to your budget, role, and proposed territory.
The city score does not include your experience, capital structure, time commitment, financing, or exact territory.















































































