70.8 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in San Juan, Puerto Rico
We ranked 14 franchise concepts for San Juan, Puerto Rico using local demand, labor, transportation, real estate, regulation, and source-backed evidence.
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
0.9 points average among 11 affected concepts
Tested rank range spans 11 positions
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 management | 73.1Tier 2 · Favorable modeled alignment | +2.3 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 2 | ActionCOACHBusiness coaching | 72.5Tier 2 · Favorable modeled alignment | +1.8 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 3 | FASTSIGNSSigns and graphics | 72.4Tier 2 · Favorable modeled alignment | +2.0 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 4 | Jan-Pro InternationalCommercial cleaning | 72.2Tier 2 · Favorable modeled alignment | +2.0 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 5 | HomeSmilesProperty maintenance services | 71.8Tier 3 · Mixed modeled alignment | +1.2 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 6 | ZOOM DRAINDrain and sewer service | 71.2Tier 3 · Mixed modeled alignment | +0.5 ptsReferral ecosystem | No material negative local adjustment | Moderate evidence confidence |
| 7 | Mr. RooterPlumbing | 70.9Tier 3 · Mixed modeled alignment | +0.4 ptsProperty replacement-cycle demand | No material negative local adjustment | Moderate evidence confidence |
| 8 | PuroCleanRestoration | 70.8Tier 3 · Mixed modeled alignment | +0.6 ptsReferral ecosystem | No material negative local adjustment | Moderate evidence confidence |
| 9 | Rainbow International RestorationRestoration | 70.8Tier 3 · Mixed modeled alignment | +0.6 ptsReferral ecosystem | No material negative local adjustment | Moderate evidence confidence |
| 10 | Pillar To Post Home InspectorsHome inspection | 70.8Tier 3 · Mixed modeled alignment | +0.4 ptsReferral ecosystem | No material negative local adjustment | 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.
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Referral ecosystem |
|---|---|---|---|
| #1 City Wide | +2.3 pts | — | +0.8 pts |
| #2 ActionCOACH | +1.8 pts | — | +0.7 pts |
| #3 FASTSIGNS | +2.0 pts | — | +0.4 pts |
| #4 Jan-Pro International | +2.0 pts | — | +0.2 pts |
| #5 HomeSmiles | +1.2 pts | — | +0.6 pts |
| #6 ZOOM DRAIN | +0.4 pts | +0.4 pts | +0.5 pts |
| #7 Mr. Rooter | +0.3 pts | +0.4 pts | +0.2 pts |
| #8 PuroClean | — | +0.3 pts | +0.6 pts |
| #9 Rainbow International Restoration | — | +0.3 pts | +0.6 pts |
| #10 Pillar To Post Home Inspectors | +0.2 pts | +0.2 pts | +0.4 pts |
| #11 Tiger Adjusters | +0.3 pts | — | +0.4 pts |
| #12 Aire Serv | +0.3 pts | +0.3 pts | — |
| #13 Mister Sparky Electric | — | +0.3 pts | +0.1 pts |
| #14 Workout Anytime | -0.6 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.
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 | +2.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | 73.07 |
| Published local-market alignment | 73.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Interpretation
How to interpret the result
City Wide, ActionCOACH, FASTSIGNS led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to competitive environment. 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 FASTSIGNS, Jan-Pro International, Mr. Rooter; 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.
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 11 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. Jan-Pro International moved from #4 to #13, the largest movement among concepts directly affected by this factor.
Concepts helped most
Concepts challenged 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.
We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 5 concepts changed position. PuroClean moved from #8 to #11, the largest movement among concepts directly affected by this factor.
Concepts helped most
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, 9 concepts changed position. PuroClean moved from #8 to #13, the largest movement among concepts directly affected by this factor.
Concepts helped most
- Competitive environmentNo material score adjustment
- Labor and staffing frictionNo material score adjustment
- Transportation, routing, and parkingNo material score adjustment
- Real estate and site feasibilityNo material score adjustment
- Sales and customer acquisitionNo material score adjustment
- Territory qualityNo material score adjustment
- Regulatory and operating frictionNo material score adjustment
Category comparisons
Best franchise categories we assessed in San Juan, Puerto Rico
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 San Juan, Puerto Rico
2 Restoration concepts qualified for comparison, with scores ranging from 70.8 to 70.8. PuroClean ranked highest at 70.8. Referral ecosystem added 0.6 points on average among the affected concepts.
Interpret cautiously: A 0.0-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 70.8–70.8
- Category average
- 70.8
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.
City Wide
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 | +2.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | 73.07 |
| Published local-market alignment | 73.1 |
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
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.3 pts
- Tested rank range
- #1–#3
Most important next check
How many qualified facility and property-management accounts must be reachable for City Wide to support its local contract pipeline?
ActionCOACH
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 | +1.8 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | +0.7 |
| 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 | 72.49 |
| Published local-market alignment | 72.5 |
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
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.8 pts
- Tested rank range
- #2–#5
Most important next check
Which business-owner segments are expected to produce the most repeatable coaching demand for ActionCOACH?
FASTSIGNS
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 | +2.0 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | +0.4 |
| 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 | 72.40 |
| Published local-market alignment | 72.4 |
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
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.0 pts
- Tested rank range
- #2–#11
Most important next check
Which local customer verticals are expected to generate repeat signage and graphics work for FASTSIGNS?
Jan-Pro International
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 | +2.0 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | +0.2 |
| 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 | 72.17 |
| Published local-market alignment | 72.2 |
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
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.0 pts
- Tested rank range
- #3–#13
Most important next check
What concentration of recurring commercial accounts is required for Jan-Pro International to build an efficient local book of business?
HomeSmiles
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 | +1.2 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | 71.83 |
| Published local-market alignment | 71.8 |
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
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.2 pts
- Tested rank range
- #5–#6
Most important next check
How many qualified facility and property-management accounts must be reachable for HomeSmiles to support its local contract pipeline?
ZOOM DRAIN
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 | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | +0.5 |
| 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 | 71.25 |
| Published local-market alignment | 71.2 |
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
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.5 pts
- Tested rank range
- #4–#6
Most important next check
Where must ZOOM DRAIN stage crews and vehicles to protect after-hours response times across the proposed territory?
Mr. Rooter
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 | +0.3 |
| Property replacement-cycle demand | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | +0.2 |
| 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 | 70.87 |
| Published local-market alignment | 70.9 |
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
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.4 pts
- Tested rank range
- #7–#11
Most important next check
How many field vehicles must Mr. Rooter deploy, and where would they begin and end each service day?
PuroClean
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 | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | 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
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.6 pts
- Tested rank range
- #1–#12
Most important next check
How much secure vehicle and equipment storage does PuroClean require at its operating base?
Rainbow International Restoration
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 | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | 70.82 |
| 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
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.6 pts
- Tested rank range
- #2–#13
Most important next check
How much secure vehicle and equipment storage does Rainbow International Restoration require at its operating base?
Pillar To Post Home Inspectors
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 | +0.2 |
| Property replacement-cycle demand | +0.2 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | +0.4 |
| 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 | 70.76 |
| 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
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.4 pts
- Tested rank range
- #7–#10
Most important next check
Which transaction corridors and referral markets would define Pillar To Post Home Inspectors's practical inspection territory?
Tiger Adjusters
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 | +0.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | +0.4 |
| 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 | 70.70 |
| Published local-market alignment | 70.7 |
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
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.4 pts
- Tested rank range
- #7–#11
Most important next check
Which ZIP codes and appointment density assumptions define Tiger Adjusters's practical service territory?
Aire Serv
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 | +0.3 |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 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 | 70.68 |
| Published local-market alignment | 70.7 |
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
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.3 pts
- Tested rank range
- #7–#12
Most important next check
How much secure vehicle and equipment storage does Aire Serv require at its operating base?
Mister Sparky Electric
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 | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | +0.1 |
| 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 | 70.45 |
| 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
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.3 pts
- Tested rank range
- #9–#13
Most important next check
What daily vehicle utilization and travel-time allowance are built into Mister Sparky Electric's operating plan?
Workout Anytime
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 | -0.6 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 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 | 69.43 |
| 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
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand -0.6 pts
- Tested rank range
- #14–#14
Most important next check
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Metric registry
The 35 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 in 2024 | 332,454people | 2024 Puerto Rico Community Survey 1-year estimates | San Juan Municipio, Puerto Rico | Evidence for Target-market demand, Territory quality | [4] |
| Population change from the 2020 estimate base to 2024 | -2.9percent | 2023 County Business Patterns and 2022 economic measures where displayed | San Juan Municipio, Puerto Rico | Evidence for Target-market demand, Territory quality | [5] |
| Population density in 2024 | 6,942.6people per square mile | 2024 Puerto Rico Community Survey 1-year estimates | San Juan Municipio, Puerto Rico | Evidence for Target-market demand, Territory quality | [4] |
| Estimated households in 2024 | 146,279households | 2024 Puerto Rico Community Survey 1-year estimates | San Juan Municipio, Puerto Rico | Evidence for Target-market demand | [4] |
| Estimated housing units in 2024 | 202,066housing units | 2024 Puerto Rico Community Survey 1-year estimates | San Juan Municipio, Puerto Rico | Evidence for Target-market demand, Property replacement-cycle demand, Territory quality | [4] |
| Median household income in 2024 | 30,447usd per year | 2024 Puerto Rico Community Survey 1-year estimates | San Juan Municipio, Puerto Rico | Evidence for Target-market demand | [4] |
| Population below the poverty threshold in 2024 | 34.6percent of population | 2024 Puerto Rico Community Survey 1-year estimates | San Juan Municipio, Puerto Rico | Evidence for Target-market demand | [4] |
| Population age 25 and older with a bachelor's degree or higher | 40.3percent | 2024 Puerto Rico Community Survey 1-year estimates | San Juan Municipio, Puerto Rico | Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction | [4] |
| Population age 65 and older in the 2019-2023 PRCS profile | age 65 plus: 83,949; total population: 338,661people | 2020 Census; 2019-2023 PRCS; 2022 Economic Census; 2026 hazard modeling | San Juan Municipio, Puerto Rico | Evidence for Target-market demand | [9] |
| Covered establishments in fourth quarter 2025 | 12,250establishments | Fourth quarter and December 2025 | San Juan Municipio, Puerto Rico | Evidence for Target-market demand, Referral ecosystem | [6] |
| Covered employment in December 2025 | 259,210jobs | Fourth quarter and December 2025 | San Juan Municipio, Puerto Rico | Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction | [6] |
| Covered employment change from December 2024 to December 2025 | -2.1percent | Fourth quarter and December 2025 | San Juan Municipio, Puerto Rico | Evidence for Target-market demand, Labor and staffing friction | [6] |
| Average weekly wage in fourth quarter 2025 | 889usd per week | Fourth quarter and December 2025 | San Juan Municipio, Puerto Rico | Evidence for Labor and staffing friction | [6] |
| Selected establishment and employment counts in the 2022 Economic Census table | finance and insurance: establishments: 768, employment: 23,865; healthcare and social assistance: establishments: 1,583, employment: 19,965; professional scientific and technical services: establishments: 2,618, employment: 18,241; administrative support and waste management: establishments: 592, employment: 27,457; accommodation and food services: establishments: 1,178, employment: 20,862; construction: establishments: 448, employment: 7,765establishments and jobs | 2020 Census; 2019-2023 PRCS; 2022 Economic Census; 2026 hazard modeling | San Juan Municipio, Puerto Rico | Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction | [9] |
| Cruise passengers recorded during the November 2025-April 2026 high season | 1,360,937passengers | November 2025 through April 2026 | Old San Juan cruise port | Evidence for Target-market demand, Territory quality | [10] |
| Homeport cruise passengers during the November 2025-April 2026 high season | 371,536passengers | November 2025 through April 2026 | San Juan homeport cruise operations | Evidence for Target-market demand, Territory quality | [10] |
| Housing stock and occupancy in the 2019-2023 PRCS profile | total units: 193,011; occupied units: 147,795; vacant units: 45,216housing units | 2020 Census; 2019-2023 PRCS; 2022 Economic Census; 2026 hazard modeling | San Juan Municipio, Puerto Rico | Evidence for Property replacement-cycle demand, Territory quality, Target-market demand | [9] |
| Housing stock and occupancy in Santurce | total units: 45,358; occupied units: 31,286; vacant units: 14,072housing units | 2020 Census; 2019-2023 PRCS; 2022 Economic Census; 2026 hazard modeling | Santurce, San Juan | Evidence for Territory quality, Target-market demand, Real estate and site feasibility | [9] |
| Modeled structure counts by flood-risk category | none: 71,556; slight: 4,415; moderate: 10,886; very strong: 30structures | 2020 Census; 2019-2023 PRCS; 2022 Economic Census; 2026 hazard modeling | San Juan Municipio, Puerto Rico | Evidence for Property replacement-cycle demand, Real estate and site feasibility, Territory quality, Regulatory and operating friction | [9] |
| Municipal draft plan identifies storm-surge and coastal-flood exposure in Condado and Ocean Park | Condado, Ocean Parknamed submarkets | 2020 Census; 2019-2023 PRCS; 2022 Economic Census; 2026 hazard modeling | Condado and Ocean Park, San Juan | Evidence for Territory quality, Real estate and site feasibility, Property replacement-cycle demand, Regulatory and operating friction | [9] |
| Preliminary unemployment rate in May 2026 | 4.5percent | Labor-force data through May 2026 and nonfarm employment through June 2026, preliminary | San Juan-Bayamón-Caguas metropolitan area | Evidence for Labor and staffing friction | [8] |
| Preliminary total nonfarm employment in June 2026 | 681,600jobs | Labor-force data through May 2026 and nonfarm employment through June 2026, preliminary | San Juan-Bayamón-Caguas metropolitan area | Evidence for Target-market demand, Labor and staffing friction | [8] |
| Mean hourly wages for selected franchise-relevant major occupation groups | all occupations: 17.98; building and grounds cleaning and maintenance: 11.73; food preparation and serving: 12.14; sales and related: 13.96; office and administrative support: 15.02; construction and extraction: 13.75; installation maintenance and repair: 15.25; transportation and material moving: 13.3usd per hour | May 2024 | San Juan-Bayamón-Caguas metropolitan area | Evidence for Labor and staffing friction | [7] |
| San Juan industrial vacancy and asking rents in the second half of 2025 | vacancy rate: 3.3; asking rent min: 9; asking rent max: 15.5; asking rent average: 12; predevelopment pipeline sqft: 2,250,000percent and usd per square foot per year | Second half of 2025 | San Juan industrial market | Evidence for Real estate and site feasibility | [11] |
| San Juan Metro office vacancy in the first half of 2026 | 26.5percent | First half of 2026 | San Juan metropolitan office market | Evidence for Real estate and site feasibility, Territory quality, Target-market demand | [12] |
| Office landlords were reported to offer greater concessions and flexible termination structures | expanded concessions and shorter effective commitmentsqualitative condition | First half of 2026 | San Juan metropolitan office market | Evidence for Real estate and site feasibility, Territory quality | [12] |
| Affordable and available rental homes per 100 extremely low-income renter households | 65homes per 100 eli renter households | 2023 Puerto Rican Community Survey | San Juan metropolitan area | Evidence for Target-market demand, Labor and staffing friction | [13] |
| Municipal patent rate schedule for nonfinancial businesses | gross income 5000 01 to 12500: exempt; gross income 12500 01 to 100000: 25; gross income 100000 01 to 300000 rate percent: 0.2; gross income over 300000 rate percent: 0.5; financial business rate percent: 1.5usd and percent of attributable business volume | Code revision dated April 24, 2023 | Municipio Autónomo de San Juan | Evidence for Regulatory and operating friction | [14] [2] |
| Historic resources in the Old San Juan historic district | total resources: 917; contributing resources: 798; san juan historic site resources: 84resources | Historic-resource inventory through May 2024 | Old San Juan historic district and San Juan Historic Site | Evidence for Regulatory and operating friction, Territory quality, Property replacement-cycle demand | [17] |
| The approved long-range plan identifies the San Juan TMA as Puerto Rico's most complex highway and multimodal transportation system and its main freight and passenger gateway | most complex highway and multimodal system main gatewayqualitative condition | Approved 2050 long-range plan accessed August 2026 | San Juan Transportation Management Area | Evidence for Transportation, routing, and parking, Territory quality | [15] |
| Municipal Línea de San Juan bus service was operating ten routes | 10routes | 2020 Census; 2019-2023 PRCS; 2022 Economic Census; 2026 hazard modeling | San Juan Municipio, Puerto Rico | Evidence for Transportation, routing, and parking | [9] |
| A new business in an existing location generally requires a Permiso Único and parcel-use verification; construction and remodeling require licensed professional processing | existing location new business: parcel use verification, applicable licenses, permiso unico; construction or remodeling: licensed architect or engineer, construction permitworkflow requirements | Current permit workflow accessed August 2026 | Puerto Rico, including San Juan subject to applicable authority | Evidence for Regulatory and operating friction, Real estate and site feasibility | [19] [18] |
| Puerto Rico planning programs include designated historic zones, tourism-interest zones, and a coastal-zone management framework | historic zones, tourism interest zones, coastal zone managementprograms | Current program framework accessed August 2026 | Puerto Rico, with mapped applicability in San Juan | Evidence for Regulatory and operating friction, Territory quality, Real estate and site feasibility | [16] |
| High temperature and humidity can accelerate corrosion and deterioration of reinforced-concrete and steel infrastructure in coastal environments | temperature and humidity accelerate corrosionqualitative engineering mechanism | Coastal infrastructure deterioration modeling through 2100 | United States coastal counties; applied only as mechanism corroboration for San Juan | Evidence for Property replacement-cycle demand, Labor and staffing friction | [20] [1] |
| The Puerto Rico Construction Code 2018 is listed as an applicable construction regulation | Puerto Rico Construction Code 2018code | 2018 Puerto Rico Construction Code, current listing accessed August 2026 | Puerto Rico, including San Juan | Evidence for Regulatory and operating friction, Property replacement-cycle demand | [21] |
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
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 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.
- 1The Utility Delta: A Structural Audit of Ten U.S. MarketsInternal or supplied research; not publicly accessible.
Used for: High temperature and humidity can accelerate corrosion and deterioration of reinforced-concrete and steel infrastructure in coastal environments
- 2Structural Constraints and Hidden Costs: A Forensic Municipal AuditInternal or supplied research; not publicly accessible.
Used for: Municipal patent rate schedule for nonfinancial businesses
- 3Franchise data - 2 - riverside through charlotte.csvInternal or supplied research; not publicly accessible.
- 4San Juan Municipio, Puerto Rico Profile
Used for: Resident population estimate in 2024, Population density in 2024, Estimated households in 2024, Estimated housing units in 2024, and Median household income in 2024
- 5QuickFacts: San Juan Municipio, Puerto Rico
Used for: Population change from the 2020 estimate base to 2024
- 6Municipio Employment and Wages in Puerto Rico — Fourth Quarter 2025
Used for: Covered establishments in fourth quarter 2025, Covered employment in December 2025, Covered employment change from December 2024 to December 2025, and Average weekly wage in fourth quarter 2025
- 7Occupational Employment and Wages in San Juan-Bayamón-Caguas — May 2024
Used for: Mean hourly wages for selected franchise-relevant major occupation groups
- 8San Juan-Caguas-Guaynabo, PR Economy at a Glance
Used for: Preliminary unemployment rate in May 2026 and Preliminary total nonfarm employment in June 2026
- 9Plan de Mitigación Contra Peligros Naturales Municipio de San Juan 2026 — Borrador
Used for: Population age 65 and older in the 2019-2023 PRCS profile, Selected establishment and employment counts in the 2022 Economic Census table, Housing stock and occupancy in the 2019-2023 PRCS profile, Housing stock and occupancy in Santurce, and Modeled structure counts by flood-risk category
- 10Compañía de Turismo de Puerto Rico destaca cierre exitoso de la temporada alta de cruceros con aumento de 43% en pasajeros
Used for: Cruise passengers recorded during the November 2025-April 2026 high season and Homeport cruise passengers during the November 2025-April 2026 high season
- 11Puerto Rico Industrial - 2H 2025
Used for: San Juan industrial vacancy and asking rents in the second half of 2025
- 12Office Report (San Juan Metro) - 1H 2026
Used for: San Juan Metro office vacancy in the first half of 2026 and Office landlords were reported to offer greater concessions and flexible termination structures
- 13The Gap: Assessing the Affordability and Availability of Rental Housing in Puerto Rico
Used for: Affordable and available rental homes per 100 extremely low-income renter households
- 14Código de Desarrollo Económico del Municipio Autónomo de San Juan
Used for: Municipal patent rate schedule for nonfinancial businesses
- 152050 Multimodal Long Range Transportation Plan — San Juan Transportation Management Area
Used for: The approved long-range plan identifies the San Juan TMA as Puerto Rico's most complex highway and multimodal transportation system and its main freight and passenger gateway
- 16Programa de Planificación Física
Used for: Puerto Rico planning programs include designated historic zones, tourism-interest zones, and a coastal-zone management framework
- 17Conservación Histórica
Used for: Historic resources in the Old San Juan historic district
- 18Reglamento Núm. 41 — Reglamento Conjunto para la Evaluación y Expedición de Permisos Relacionados al Desarrollo, Uso de Terrenos y Operación de Negocios
Used for: A new business in an existing location generally requires a Permiso Único and parcel-use verification; construction and remodeling require licensed professional processing
- 19OGPe — Oficina de Gerencia de Permisos
Used for: A new business in an existing location generally requires a Permiso Único and parcel-use verification; construction and remodeling require licensed professional processing
- 20Projections of corrosion and deterioration of infrastructure in United States coasts under a changing climate
Used for: High temperature and humidity can accelerate corrosion and deterioration of reinforced-concrete and steel infrastructure in coastal environments
- 21Reglamentos — Código Construcción de Puerto Rico 2018
Used for: The Puerto Rico Construction Code 2018 is listed as an applicable construction regulation
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.
