69.6 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Boston, Massachusetts
We ranked 14 franchise concepts for Boston, Massachusetts using local demand, labor, transportation, real estate, regulation, and source-backed evidence.
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.
14Concepts evaluated
19Sources used
14Primary sources
25Local 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
0.6 points average among 12 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
Our Boston, Massachusetts analysis favored concepts whose operating requirements matched the city’s strongest service-demand conditions without depending too heavily on inexpensive labor, easy routing, or low-cost commercial space. City Wide, ActionCOACH, and Mister Sparky Electric produced the three highest modeled alignment scores in the evaluated set. Referral ecosystem was the strongest positive factor: it materially affected 12 concepts and added 0.6 points on average among them. Labor and staffing friction was the broadest negative pressure, reducing the 14 exposed concepts by 1.1 points on average. The result is not that the highest-ranked brand is universally better. It means that, under the documented city assumptions and the operating profiles available to us, its local advantages outweighed its modeled constraints more effectively. Territory boundaries, candidate capabilities, capital structure, franchise economics, current FDD disclosures, and local franchisee validation remain outside this ranking and can materially change the decision.
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.
| Rank | Franchise | Alignment and tier | Largest advantage | Largest constraint | Evidence confidence |
|---|---|---|---|---|---|
| 1 | City WideFacility management | 70.8Tier 3 · Mixed modeled alignment | +1.1 ptsReferral ecosystem | -1.3 ptsLabor and staffing friction | Moderate evidence confidence |
| 2 | ActionCOACHBusiness coaching | 70.4Tier 3 · Mixed modeled alignment | +0.9 ptsReferral ecosystem | -0.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 3 | Mister Sparky ElectricElectrical | 70.2Tier 3 · Mixed modeled alignment | +0.6 ptsProperty replacement-cycle demand | -0.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 4 | Pillar To Post Home InspectorsHome inspection | 70.1Tier 3 · Mixed modeled alignment | +0.6 ptsReferral ecosystem | -0.5 ptsLabor and staffing friction | Moderate evidence confidence |
| 5 | ZOOM DRAINDrain and sewer service | 70.0Tier 3 · Mixed modeled alignment | +0.6 ptsReferral ecosystem | -0.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 6 | HomeSmilesProperty maintenance services | 69.9Tier 3 · Mixed modeled alignment | +0.9 ptsReferral ecosystem | -1.3 ptsLabor and staffing friction | Moderate evidence confidence |
| 7 | FASTSIGNSSigns and graphics | 69.8Tier 3 · Mixed modeled alignment | +0.5 ptsReferral ecosystem | -1.0 ptsLabor and staffing friction | Moderate evidence confidence |
| 8 | Mr. RooterPlumbing | 69.7Tier 3 · Mixed modeled alignment | +0.3 ptsReferral ecosystem | -0.5 ptsLabor and staffing friction | Moderate evidence confidence |
| 9 | Rainbow International RestorationRestoration | 69.6Tier 3 · Mixed modeled alignment | +0.8 ptsReferral ecosystem | -1.3 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | PuroCleanRestoration | 69.6Tier 3 · Mixed modeled alignment | +0.8 ptsReferral ecosystem | -1.2 ptsLabor and staffing friction | Moderate evidence confidence |
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.
Primary source records by factorTarget-market demand: [3] [10] [11] [1]Property replacement-cycle demand: [4] [5] [19] [8] [1]Competitive environment: [3] [10] [11]Labor and staffing friction: [12] [13] [10] [1]Transportation, routing, and parking: [16] [17] [18] [3] [1]Real estate and site feasibility: [7] [14] [15] [8] [9] [2] [1]Sales and customer acquisition: [10] [11] [3]Referral ecosystem: [10] [11]Territory quality: [8] [9] [11] [19] [1]Regulatory and operating friction: [4] [5] [6] [7] [8] [9] [2]
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 | +0.2 pts |
| #4 Pillar To Post Home Inspectors | — | — | -0.5 pts | +0.6 pts |
| #5 ZOOM DRAIN | — | — | -0.6 pts | +0.6 pts |
| #6 HomeSmiles | +0.4 pts | — | -1.3 pts | +0.9 pts |
| #7 FASTSIGNS | +0.4 pts | — | -1.0 pts | +0.5 pts |
| #8 Mr. Rooter | — | — | -0.5 pts | +0.3 pts |
| #9 Rainbow International Restoration | +0.1 pts | — | -1.3 pts | +0.8 pts |
| #10 PuroClean | — | — | -1.2 pts | +0.8 pts |
| #11 Tiger Adjusters | — | — | -1.1 pts | +0.6 pts |
| #12 Jan-Pro International | +0.7 pts | — | -1.8 pts | +0.3 pts |
| #13 Aire Serv | — | +0.5 pts | -1.6 pts | — |
| #14 Workout Anytime | — | — | -1.4 pts | — |
Rank stability
Which positions depend most on individual assumptions?
The line shows the best and worst rank reached when one factor was removed from every concept. A narrow range indicates a more stable position.
#1 City WideHighly sensitive · tested #1–#5
#2 ActionCOACHModerately sensitive · tested #1–#3
#3 Mister Sparky ElectricHighly sensitive · tested #1–#8
#4 Pillar To Post Home InspectorsHighly sensitive · tested #3–#10
#5 ZOOM DRAINHighly sensitive · tested #4–#9
#6 HomeSmilesHighly sensitive · tested #2–#8
#7 FASTSIGNSModerately sensitive · tested #6–#9
#8 Mr. RooterHighly sensitive · tested #5–#13
#9 Rainbow International RestorationHighly sensitive · tested #5–#12
#10 PuroCleanHighly sensitive · tested #8–#13
#11 Tiger AdjustersStable · tested #10–#11
#12 Jan-Pro InternationalHighly sensitive · tested #4–#14
#13 Aire ServModerately sensitive · tested #11–#14
#14 Workout AnytimeStable · tested #13–#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.
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.
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.
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 City Wide, Mister Sparky Electric, Pillar To Post Home Inspectors; their ranks move more widely when individual factors are neutralized.
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.
Operating environment51Mixed or model dependent
Target-market demand
We tested how much of the city’s theoretical customer and business demand remained usable after operating friction.
We applied a measurable adjustment to 6 of 14 concepts. When we neutralized the factor and recalculated the table, 12 concepts changed position. City Wide moved from #1 to #5, the largest movement among concepts directly affected by this factor.
Concepts adjusted6 of 14
Average among affected+0.4 pts
Average across all concepts+0.2 pts
Concepts changing rank12
Concepts helped most
City WideFacility management
+1.0 pts
Jan-Pro InternationalCommercial cleaning
+0.7 pts
FASTSIGNSSigns and graphics
+0.4 pts
HomeSmilesProperty maintenance services
+0.4 pts
Rainbow International RestorationRestoration
+0.1 pts
Operating environment50Mixed 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.
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 adjusted2 of 14
Average among affected+0.5 pts
Average across all concepts+0.1 pts
Concepts changing rank10
Concepts helped most
Mister Sparky ElectricElectrical
+0.6 pts
Aire ServHVAC installation, repair, and maintenance
+0.5 pts
Operating environment43Material local friction
Labor and staffing friction
We compared each concept’s frontline and specialist staffing requirements with the local labor environment.
We applied a measurable adjustment to 14 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. Jan-Pro International moved from #12 to #4, the largest movement among concepts directly affected by this factor.
Concepts adjusted14 of 14
Average among affected-1.1 pts
Average across all concepts-1.1 pts
Concepts changing rank11
Concepts challenged most
Jan-Pro InternationalCommercial cleaning
-1.8 pts
Aire ServHVAC installation, repair, and maintenance
-1.6 pts
Workout AnytimeFitness
-1.4 pts
Rainbow International RestorationRestoration
-1.3 pts
HomeSmilesProperty maintenance services
-1.3 pts
Operating environment53Positive local support
Referral ecosystem
We tested whether the local professional and institutional referral ecosystem materially separated the assessed concepts.
We applied a measurable adjustment to 12 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. Mr. Rooter moved from #8 to #5, the largest movement among concepts directly affected by this factor.
Concepts adjusted12 of 14
Average among affected+0.6 pts
Average across all concepts+0.5 pts
Concepts changing rank11
Concepts helped most
City WideFacility management
+1.1 pts
ActionCOACHBusiness coaching
+0.9 pts
HomeSmilesProperty maintenance services
+0.9 pts
PuroCleanRestoration
+0.8 pts
Rainbow International RestorationRestoration
+0.8 pts
Measured but not differentiating in this concept set
- 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
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.
Limited two-concept comparison
69.6Best 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
Rainbow International Restoration69.6
PuroClean69.6
Compare all assessed concepts
Explore the complete score calculations
14 concepts shown. Expand a concept to see how each factor was treated and the single next check most capable of changing the result.
#1Tier 3 · Mixed modeled alignment70.8
City Wide
Increase +1.1 pts Referral ecosystemReduction -1.3 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
How we scored this concept
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–#5
Most important next check
Which property-management partners are expected to produce recurring opportunities for City Wide?
#2Tier 3 · Mixed modeled alignment70.4
ActionCOACH
Increase +0.9 pts Referral ecosystemReduction -0.6 pts Labor and staffing friction
Rank sensitivity: Moderately sensitive
How we scored this concept
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
Most important next check
Which professional referral channels are expected to matter most to ActionCOACH, and what local relationship count supports the plan?
#3Tier 3 · Mixed modeled alignment70.2
Mister Sparky Electric
Increase +0.6 pts Property replacement-cycle demandReduction -0.6 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
How we scored this concept
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 | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.2 |
| 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 | 70.23 |
| Published local-market alignment | 70.2 |
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
- Property replacement-cycle demand +0.6 pts
- Tested rank range
- #1–#8
Most important next check
Which legacy-system, safety, and retrofit needs are expected to create the largest opportunity for Mister Sparky Electric?
#4Tier 3 · Mixed modeled alignment70.1
Pillar To Post Home Inspectors
Increase +0.6 pts Referral ecosystemReduction -0.5 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
How we scored this concept
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 | Depends on the specific site, territory, or operating condition |
| 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 | 70.07 |
| Published local-market alignment | 70.1 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.6 pts
- Tested rank range
- #3–#10
Most important next check
How many active brokerage, agent, and transaction-partner relationships are assumed for Pillar To Post Home Inspectors?
#5Tier 3 · Mixed modeled alignment70.0
ZOOM DRAIN
Increase +0.6 pts Referral ecosystemReduction -0.6 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
How we scored this concept
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 | Depends on the specific site, territory, or operating condition |
| 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
- #4–#9
Most important next check
What after-hours drain and sewer technician coverage must ZOOM DRAIN maintain, and what staffing model protects response times?
#6Tier 3 · Mixed modeled alignment69.9
HomeSmiles
Increase +0.9 pts Referral ecosystemReduction -1.3 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
How we scored this concept
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 | 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 | 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
Most important next check
What local sales staffing and activity level are required for HomeSmiles to build its initial pipeline?
#7Tier 3 · Mixed modeled alignment69.8
FASTSIGNS
Increase +0.5 pts Referral ecosystemReduction -1.0 pts Labor and staffing friction
Rank sensitivity: Moderately sensitive
How we scored this concept
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
- #6–#9
Most important next check
What local sales staffing and activity level are required for FASTSIGNS to build its initial pipeline?
#8Tier 3 · Mixed modeled alignment69.7
Mr. Rooter
Increase +0.3 pts Referral ecosystemReduction -0.5 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
How we scored this concept
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 | 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 | 69.72 |
| Published local-market alignment | 69.7 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- 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–#13
Most important next check
How many field vehicles must Mr. Rooter deploy, and where would they begin and end each service day?
#9Tier 3 · Mixed modeled alignment69.6
Rainbow International Restoration
Increase +0.8 pts Referral ecosystemReduction -1.3 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
How we scored this concept
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 | Depends on the specific site, territory, or operating condition |
| 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
Most important next check
What opening staffing ratio, wage range, and retention plan does Rainbow International Restoration assume for frontline roles?
#10Tier 3 · Mixed modeled alignment69.6
PuroClean
Increase +0.8 pts Referral ecosystemReduction -1.2 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
How we scored this concept
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 | Depends on the specific site, territory, or operating condition |
| 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
- #8–#13
Most important next check
Which insurer, adjuster, and property-management relationships are expected to produce repeatable referrals for PuroClean?
#11Tier 3 · Mixed modeled alignment69.4
Tiger Adjusters
Increase +0.6 pts Referral ecosystemReduction -1.1 pts Labor and staffing friction
Rank sensitivity: Stable
How we scored this concept
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 | Depends on the specific site, territory, or operating condition |
| 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 | 69.44 |
| Published local-market alignment | 69.4 |
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
- 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–#11
Most important next check
What local sales staffing and activity level are required for Tiger Adjusters to build its initial pipeline?
#12Tier 3 · Mixed modeled alignment69.2
Jan-Pro International
Increase +0.7 pts Target-market demandReduction -1.8 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
How we scored this concept
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
Most important next check
What opening staffing ratio, wage range, and retention plan does Jan-Pro International assume for frontline roles?
#13Tier 3 · Mixed modeled alignment68.8
Aire Serv
Increase +0.5 pts Property replacement-cycle demandReduction -1.6 pts Labor and staffing friction
Rank sensitivity: Moderately sensitive
How we scored this concept
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 | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | Not applicable to this operating model |
| 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
- #11–#14
Most important next check
Which HVAC technician specialties must Aire Serv staff first, and what recruiting and training runway is built into the opening plan?
#14Tier 3 · Mixed modeled alignment68.6
Workout Anytime
No material positive local adjustment identifiedReduction -1.4 pts Labor and staffing friction
Rank sensitivity: Stable
How we scored this concept
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 | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | Not applicable to this operating model |
| 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
Most important next check
Which zoning, occupancy, and permit requirements must be cleared before Workout Anytime approves a customer-facing site?
No franchise concepts match the selected filters.
Metric registry
The 25 local metrics behind this analysis
The registry exposes the raw value, period, geography, factor mapping, and source for every public metric used in the city research.
View all local metrics
| Metric | Raw value | Period | Geography | How used | 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 | Evidence for Target-market demand, Territory quality | [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 | Evidence for Target-market demand | [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 | Evidence for Target-market demand, Territory quality | [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 | Evidence for Target-market demand, Territory quality | [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 | Evidence for Labor and staffing friction, Real estate and site feasibility, Target-market demand | [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 | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition | [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 | Evidence for Regulatory and operating friction, Property replacement-cycle demand | [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 | Evidence for Regulatory and operating friction, Property replacement-cycle demand | [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 | Evidence for Regulatory and operating friction, Property replacement-cycle demand | [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 | Evidence for Regulatory and operating friction | [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 | Evidence for Real estate and site feasibility, Regulatory and operating friction | [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 | Evidence for Property replacement-cycle demand, Real estate and site feasibility, Territory quality | [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 | Evidence for Regulatory and operating friction, Territory quality, Real estate and site feasibility | [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 | Evidence for Territory quality, Real estate and site feasibility, Regulatory and operating friction | [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 | Evidence for Territory quality, Real estate and site feasibility, Regulatory and operating friction | [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 | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition | [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 | Evidence for Target-market demand, Referral ecosystem, Territory quality, Sales and customer acquisition | [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 | Evidence for Labor and staffing friction | [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 | Evidence for Labor and staffing friction | [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 | Evidence for Labor and staffing friction | [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 | Evidence for Real estate and site feasibility | [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 | Evidence for Real estate and site feasibility | [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 | Evidence for Transportation, routing, and parking | [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 | Evidence for Transportation, routing, and parking | [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 | Evidence for Property replacement-cycle demand, Real estate and site feasibility, Territory quality | [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.
Why every concept begins at 70.0
70.0 is a neutral display baseline shared by every concept. Local conditions can move a score by no more than 18.0 points in either direction under the current model. It 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 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 4, 2026Added conditional scoring gates, factor-status transparency, rank-sensitivity testing, metric registry output, and factor-impact visualization data.
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.
Disclaimer and broker disclosure: This analysis is informational and does not constitute financial, legal, accounting, or investment advice. Market-alignment scores do not predict financial performance or business success. Offers are made only through the delivery of a Franchise Disclosure Document. We may receive referral compensation from participating franchisors; compensation is not an input to the scoring model.