67.6 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in San Jose, California
We ranked 14 franchise concepts for San Jose, California 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
0.8 points average among 11 affected concepts
1.7 points average reduction among 14 affected concepts
Tested rank range spans 12 positions
Executive conclusion
What the ranking means for San Jose, California
Our San Jose, California 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 FASTSIGNS produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 11 concepts and added 0.8 points on average among them. Labor and staffing friction was the broadest negative pressure, reducing the 14 exposed concepts by 1.7 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.
| Rank | Franchise | Alignment and tier | Largest advantage | Largest constraint | Evidence confidence |
|---|---|---|---|---|---|
| 1 | City WideFacility management | 71.6Tier 3 · Mixed modeled alignment | +2.1 ptsTarget-market demand | -0.5 ptsLabor and staffing friction | Moderate evidence confidence |
| 2 | ActionCOACHBusiness coaching | 71.5Tier 3 · Mixed modeled alignment | +1.5 ptsTarget-market demand | -0.1 ptsLabor and staffing friction | Moderate evidence confidence |
| 3 | FASTSIGNSSigns and graphics | 71.0Tier 3 · Mixed modeled alignment | +1.8 ptsTarget-market demand | -0.8 ptsLabor and staffing friction | Moderate evidence confidence |
| 4 | Pillar To Post Home InspectorsHome inspection | 69.8Tier 3 · Mixed modeled alignment | +0.1 ptsTarget-market demand | -0.5 ptsLabor and staffing friction | Moderate evidence confidence |
| 5 | Tiger AdjustersPublic insurance adjusting | 69.5Tier 3 · Mixed modeled alignment | +0.2 ptsTarget-market demand | -0.7 ptsLabor and staffing friction | Moderate evidence confidence |
| 6 | HomeSmilesProperty maintenance services | 69.4Tier 3 · Mixed modeled alignment | +1.1 ptsTarget-market demand | -1.7 ptsLabor and staffing friction | Moderate evidence confidence |
| 7 | Jan-Pro InternationalCommercial cleaning | 69.3Tier 3 · Mixed modeled alignment | +1.8 ptsTarget-market demand | -2.5 ptsLabor and staffing friction | Moderate evidence confidence |
| 8 | ZOOM DRAINDrain and sewer service | 68.2Tier 3 · Mixed modeled alignment | +0.4 ptsTarget-market demand | -2.4 ptsLabor and staffing friction | Moderate evidence confidence |
| 9 | Mr. RooterPlumbing | 68.0Tier 3 · Mixed modeled alignment | +0.3 ptsProperty replacement-cycle demand | -2.5 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | Aire ServHVAC installation, repair, and maintenance | 67.8Tier 3 · Mixed modeled alignment | +0.4 ptsProperty replacement-cycle demand | -2.9 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.
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Labor and staffing friction |
|---|---|---|---|
| #1 City Wide | +2.1 pts | — | -0.5 pts |
| #2 ActionCOACH | +1.5 pts | — | -0.1 pts |
| #3 FASTSIGNS | +1.8 pts | — | -0.8 pts |
| #4 Pillar To Post Home Inspectors | +0.1 pts | +0.1 pts | -0.5 pts |
| #5 Tiger Adjusters | +0.2 pts | — | -0.7 pts |
| #6 HomeSmiles | +1.1 pts | — | -1.7 pts |
| #7 Jan-Pro International | +1.8 pts | — | -2.5 pts |
| #8 ZOOM DRAIN | +0.4 pts | +0.3 pts | -2.4 pts |
| #9 Mr. Rooter | +0.3 pts | +0.3 pts | -2.5 pts |
| #10 Aire Serv | +0.3 pts | +0.4 pts | -2.9 pts |
| #11 PuroClean | — | +0.1 pts | -2.4 pts |
| #12 Rainbow International Restoration | — | +0.1 pts | -2.6 pts |
| #13 Mister Sparky Electric | — | +0.2 pts | -2.7 pts |
| #14 Workout Anytime | -1.2 pts | — | -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.
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 | +2.1 |
| 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 | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Depends on the specific site, territory, or operating condition |
| 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 | 71.60 |
| Published local-market alignment | 71.6 |
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 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 Pillar To Post Home Inspectors, Tiger Adjusters, Jan-Pro International; 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. Workout Anytime moved from #14 to #6, 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. Aire Serv moved from #10 to #12, the largest movement among concepts directly affected by this factor.
Concepts helped most
Labor and staffing friction
We compared each concept’s frontline and specialist staffing requirements with the local labor environment.
We applied a measurable adjustment to 14 of 14 concepts. When we neutralized the factor and recalculated the table, 10 concepts changed position. Jan-Pro International moved from #7 to #2, the largest movement among concepts directly affected by this factor.
Concepts challenged most
- Competitive environmentNo material score adjustment
- Transportation, routing, and parkingNo material score adjustment
- Real estate and site feasibilityNo material score adjustment
- Sales and customer acquisitionNo material score adjustment
- Referral ecosystemNo material score adjustment
- Territory qualityNo material score adjustment
- Regulatory and operating frictionNo material score adjustment
Category comparisons
Best franchise categories we assessed in San Jose, California
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 Jose, California
2 Restoration concepts qualified for comparison, with scores ranging from 67.6 to 67.6. PuroClean ranked highest at 67.6. Property replacement-cycle demand added 0.1 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 2.5 points on average.
Interpret cautiously: A 0.1-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 67.6–67.6
- Category average
- 67.6
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.
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 | +2.1 |
| 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 | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Depends on the specific site, territory, or operating condition |
| 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 | 71.60 |
| Published local-market alignment | 71.6 |
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
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.1 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 | +1.5 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.1 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Depends on the specific site, territory, or operating condition |
| 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 | 71.47 |
| Published local-market alignment | 71.5 |
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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.5 pts
- Tested rank range
- #1–#4
Most important next check
Which business-owner segments are expected to produce the most repeatable coaching demand for ActionCOACH?
FASTSIGNS
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 | -0.8 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Depends on the specific site, territory, or operating condition |
| 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 | 70.97 |
| Published local-market alignment | 71.0 |
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
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.8 pts
- Tested rank range
- #3–#5
Most important next check
Which local customer verticals are expected to generate repeat signage and graphics work for FASTSIGNS?
Pillar To Post Home Inspectors
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 | +0.1 |
| 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 | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Depends on the specific site, territory, or operating condition |
| 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 | 69.78 |
| 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
- Adequate
- Factor Research Coverage
- Adequate
- 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
- #2–#9
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 | +0.2 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.7 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Depends on the specific site, territory, or operating condition |
| 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 | 69.52 |
| Published local-market alignment | 69.5 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.7 pts
- Tested rank range
- #4–#11
Most important next check
What local sales staffing and activity level are required for Tiger Adjusters to build its initial pipeline?
HomeSmiles
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 | +1.1 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.7 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Depends on the specific site, territory, or operating condition |
| 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 | 69.35 |
| 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
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.7 pts
- Tested rank range
- #5–#7
Most important next check
What local sales staffing and activity level are required for HomeSmiles to build its initial pipeline?
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 | +1.8 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.5 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Depends on the specific site, territory, or operating condition |
| 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 | 69.28 |
| Published local-market alignment | 69.3 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -2.5 pts
- Tested rank range
- #2–#14
Most important next check
What opening staffing ratio, wage range, and retention plan does Jan-Pro International assume for frontline roles?
ZOOM DRAIN
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 | +0.4 |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.4 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Depends on the specific site, territory, or operating condition |
| 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 | 68.20 |
| Published local-market alignment | 68.2 |
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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -2.4 pts
- Tested rank range
- #7–#8
Most important next check
What after-hours drain and sewer technician coverage must ZOOM DRAIN maintain, and what staffing model protects response times?
Mr. Rooter
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 | +0.3 |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.5 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Depends on the specific site, territory, or operating condition |
| 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 | 68.02 |
| Published local-market alignment | 68.0 |
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
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -2.5 pts
- Tested rank range
- #8–#9
Most important next check
What mix of scheduled-service plumbers and emergency-response capacity must Mr. Rooter staff for the proposed 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 | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.9 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Depends on the specific site, territory, or operating condition |
| 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 | 67.79 |
| Published local-market alignment | 67.8 |
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
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -2.9 pts
- Tested rank range
- #6–#13
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?
PuroClean
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 | +0.1 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.4 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Depends on the specific site, territory, or operating condition |
| 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 | 67.64 |
| Published local-market alignment | 67.6 |
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
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -2.4 pts
- Tested rank range
- #10–#13
Most important next check
Which technical roles are hardest to staff for PuroClean, and what training pipeline reduces that exposure?
Rainbow International Restoration
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 | Effect below the publication threshold |
| Property replacement-cycle demand | +0.1 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.6 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Depends on the specific site, territory, or operating condition |
| 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 | 67.56 |
| Published local-market alignment | 67.6 |
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
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -2.6 pts
- Tested rank range
- #11–#12
Most important next check
What opening staffing ratio, wage range, and retention plan does Rainbow International Restoration assume for frontline roles?
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 | +0.2 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.7 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Depends on the specific site, territory, or operating condition |
| 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 | 67.55 |
| Published local-market alignment | 67.5 |
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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -2.7 pts
- Tested rank range
- #10–#14
Most important next check
Which licensed roles must Mister Sparky Electric hire or contract locally, and what recruiting timeline is built into the opening plan?
Workout Anytime
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 | -1.2 |
| 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 | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Depends on the specific site, territory, or operating condition |
| 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 | 67.39 |
| Published local-market alignment | 67.4 |
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
- Adequate
- 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
- #6–#14
Most important next check
What manager profile and compensation range does Workout Anytime assume before the owner can step back from daily operations?
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 | 989,814people | July 1, 2025 population estimate; 2020-2024 demographic, housing, income, and commuting measures; 2022 economic measures | San Jose, California | Evidence for Target-market demand, Territory quality | [5] |
| Population change from the April 2020 estimate base to July 2025 | -2.3percent | July 1, 2025 population estimate; 2020-2024 demographic, housing, income, and commuting measures; 2022 economic measures | San Jose, California | Evidence for Target-market demand, Territory quality | [5] |
| Household and population-density measures | households: 328,550; persons per household: 2.97; population per square mile 2020: 5,684.1mixed household and density measures | July 1, 2025 population estimate; 2020-2024 demographic, housing, income, and commuting measures; 2022 economic measures | San Jose, California | Evidence for Target-market demand, Territory quality | [5] |
| Median household income and housing-cost indicators | median household income usd: 146,427; median owner cost with mortgage usd minimum: 4,000; median gross rent usd: 2,669usd | July 1, 2025 population estimate; 2020-2024 demographic, housing, income, and commuting measures; 2022 economic measures | San Jose, California | Evidence for Target-market demand, Labor and staffing friction | [5] |
| Owner-occupied housing-unit rate | 55.8percent | July 1, 2025 population estimate; 2020-2024 demographic, housing, income, and commuting measures; 2022 economic measures | San Jose, California | Evidence for Target-market demand, Property replacement-cycle demand | [5] |
| Selected city business sales and receipts in 2022 | retail sales usd thousands: 22,077,409; retail sales per capita usd: 22,711; accommodation food sales usd thousands: 3,377,116; healthcare social assistance receipts usd thousands: 7,237,932; transportation warehousing receipts usd thousands: 2,176,603usd and usd thousands | July 1, 2025 population estimate; 2020-2024 demographic, housing, income, and commuting measures; 2022 economic measures | San Jose, California | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition | [5] |
| Mean travel time to work | 27.3minutes | July 1, 2025 population estimate; 2020-2024 demographic, housing, income, and commuting measures; 2022 economic measures | San Jose, California | Evidence for Transportation, routing, and parking, Territory quality | [5] |
| Regional Housing Needs Allocation in the 2023-2031 Housing Element | base allocation units: 62,200; additional reallocated units: 3,095housing units | 2023-2031 planning period; certified Housing Element as of January 29, 2024 | San Jose, California | Evidence for Target-market demand, Territory quality, Regulatory and operating friction | [7] |
| City transformation during the 1960s and 1970s from an agricultural landscape to a major urban and technology center | primary transition decades: 1960s, 1970shistorical period | General Plan text updated August 29, 2025 | San Jose, California | Evidence for Property replacement-cycle demand, Territory quality | [6] |
| Mean hourly wages for major frontline occupational groups | food preparation and serving usd per hour: 23.52; building and grounds cleaning maintenance usd per hour: 25.28; office and administrative support usd per hour: 34.22; transportation and material moving usd per hour: 27.5usd per hour | May 2025 | San Jose-Sunnyvale-Santa Clara, California | Evidence for Labor and staffing friction | [8] |
| Mean hourly wages and employment shares for construction and maintenance occupations | construction extraction usd per hour: 45.42; construction extraction employment share percent: 3.4; installation maintenance repair usd per hour: 39.42; installation maintenance repair employment share percent: 2.2mixed wage and employment share | May 2025 | San Jose-Sunnyvale-Santa Clara, California | Evidence for Labor and staffing friction, Property replacement-cycle demand | [8] |
| San José minimum wage effective January 1, 2026 | 18.45usd per hour | Rate effective January 1, 2026 | San Jose, California | Evidence for Labor and staffing friction, Regulatory and operating friction | [9] |
| San Jose office-submarket conditions in Q2 2026 | inventory sqft: 43,770,161; direct vacancy percent: 17.5; total vacancy percent: 19.3; availability percent: 20.3; quarterly net absorption sqft: -264,371; year to date net absorption sqft: -155,105; average asking rent usd per sqft per month fsg: 4.02mixed cre measures | Second quarter 2026 | San Jose office submarket | Evidence for Real estate and site feasibility, Target-market demand, Territory quality | [17] |
| San Jose industrial-submarket conditions in Q2 2026 | inventory sqft: 26,895,586; direct vacancy percent: 9.6; total vacancy percent: 10.3; quarterly net absorption sqft: 9,263; year to date leasing activity sqft: 1,303,856; average asking rent usd per sqft per month nnn: 1.74mixed cre measures | Second quarter 2026 | San Jose industrial submarket | Evidence for Real estate and site feasibility, Territory quality | [18] |
| Building Performance Ordinance benchmarking threshold and 2026 reporting cycle | minimum covered building size sqft: 20,000; reporting deadline: 2026-05-01; reporting data year: 2,025threshold and date | 2026 reporting cycle using 2025 building data | Covered commercial and multifamily buildings in San José | Evidence for Regulatory and operating friction, Property replacement-cycle demand, Real estate and site feasibility | [10] |
| Beyond Benchmarking compliance pathways for assigned covered buildings | demonstrate satisfactory performance, energy or water audit, retrocommissioning, targeted efficiency upgradescompliance pathways | Current five-year compliance cohort framework accessed August 2026 | San José buildings assigned to Beyond Benchmarking cohorts | Evidence for Regulatory and operating friction, Property replacement-cycle demand | [11] |
| Public-street vehicle parking limit without movement | 72hours | Current municipal parking rules accessed August 2026 | San Jose, California | Evidence for Transportation, routing, and parking, Real estate and site feasibility | [12] |
| Residential permit-parking zones require zone-specific permits or guest authorization for many service-provider vehicles | zone specific: yes; personal service vehicle may require guest permit: yes; on duty emergency or e plated vehicle exemptions exist: yesprogram conditions | Current active-zone framework accessed August 2026 | Active residential permit-parking zones in San José | Evidence for Transportation, routing, and parking, Territory quality, Real estate and site feasibility | [13] [14] |
| San José State University fall 2025 enrollment | enrollment approximate: 40,000; year over year change percent: 8students and percent | Fall 2025 enrollment | San José State University | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition | [19] |
| SJSU academic calendar includes fall, spring, and summer terms | academic year start: 2025-08-18; academic year end: 2026-05-22; summer term listed: yescalendar dates and status | Academic year 2025-2026 and listed summer term | San José State University | Evidence for Target-market demand, Territory quality | [20] |
| City procurement portal publishes opportunities for services, supplies, equipment, technology, construction, and consulting | public opportunity categories: services, supplies, equipment, technology, construction, consultingopportunity categories | Current procurement links accessed August 2026 | City of San José | Evidence for Target-market demand, Sales and customer acquisition, Referral ecosystem | [24] |
| Projects in mapped Special Flood Hazard Areas require flood-zone review and may require elevation or floodproofing measures | mapped zone gate: yes; possible requirements: elevation, floodproofing, documentationreview conditions | Current FEMA and city review framework accessed August 2026 | San José properties in FEMA Special Flood Hazard Areas | Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality, Property replacement-cycle demand | [15] [23] |
| Mapped geologic, landslide, and liquefaction zones can trigger geologic clearance for development projects | mapped zone gate: yes; review types: geologic hazard clearance, geologic clearancereview conditions | Current review framework accessed August 2026 | San José development sites in covered hazard zones | Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality, Property replacement-cycle demand | [16] [23] |
| Private-property signage is regulated under Title 23 and is subject to permit, zoning, and design requirements | permit framework: yes; site and sign type specific: yesregulatory conditions | Current sign-code framework accessed August 2026 | San Jose, California | Evidence for Regulatory and operating friction, Real estate and site feasibility | [21] |
| Exterior changes to designated landmarks and historic-district properties can require Historic Preservation Permit review | designation gate: yes; exterior change review: yesregulatory conditions | Current ordinance framework and 2025 update process accessed August 2026 | San José landmarks and historic-district properties | Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality | [22] [23] |
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.
- 1Franchise-to-city operating-fit model definitionInternal or supplied research; not publicly accessible.
- 2United States Structural Inefficiency and CRE Arbitrage AuditInternal or supplied research; not publicly accessible.
- 3Jurisdictional Friction and Structural Capital Constraints: A Forensic Audit of Municipal Operating EnvironmentsInternal or supplied research; not publicly accessible.
- 4Franchise neighborhood operating notesInternal or supplied research; not publicly accessible.
- 5QuickFacts: San Jose city, California
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Household and population-density measures, Median household income and housing-cost indicators, and Owner-occupied housing-unit rate
- 6Envision San José 2040 General Plan
Used for: City transformation during the 1960s and 1970s from an agricultural landscape to a major urban and technology center
- 72023-2031 Housing Element Update
Used for: Regional Housing Needs Allocation in the 2023-2031 Housing Element
- 8Occupational Employment and Wages in San Jose-Sunnyvale-Santa Clara — May 2025
Used for: Mean hourly wages for major frontline occupational groups and Mean hourly wages and employment shares for construction and maintenance occupations
- 9Minimum Wage Ordinance
Used for: San José minimum wage effective January 1, 2026
- 10Energy and Water Building Performance Ordinance
Used for: Building Performance Ordinance benchmarking threshold and 2026 reporting cycle
- 11Beyond Benchmarking Requirements
Used for: Beyond Benchmarking compliance pathways for assigned covered buildings
- 12Parking Regulations
Used for: Public-street vehicle parking limit without movement
- 13Residential Permit Parking
Used for: Residential permit-parking zones require zone-specific permits or guest authorization for many service-provider vehicles
- 14Residential Permit Parking Frequently Asked Questions
Used for: Residential permit-parking zones require zone-specific permits or guest authorization for many service-provider vehicles
- 15Flood Hazard Zone
Used for: Projects in mapped Special Flood Hazard Areas require flood-zone review and may require elevation or floodproofing measures
- 16Geological Hazard Review
Used for: Mapped geologic, landslide, and liquefaction zones can trigger geologic clearance for development projects
- 17Silicon Valley Office Market Report — Q2 2026
Used for: San Jose office-submarket conditions in Q2 2026
- 18Silicon Valley Industrial Market Report — Q2 2026
Used for: San Jose industrial-submarket conditions in Q2 2026
- 19A Record-Breaking Year for Enrollment: Nearly 40,000 Spartans Call SJSU Home
Used for: San José State University fall 2025 enrollment
- 20Academic Year 2025-2026 Calendar
Used for: SJSU academic calendar includes fall, spring, and summer terms
- 21Sign Code — Title 23
Used for: Private-property signage is regulated under Title 23 and is subject to permit, zoning, and design requirements
- 22Historic Preservation Ordinance Update
Used for: Exterior changes to designated landmarks and historic-district properties can require Historic Preservation Permit review
- 23Design Considerations Before Starting a Development Project
Used for: Projects in mapped Special Flood Hazard Areas require flood-zone review and may require elevation or floodproofing measures, Mapped geologic, landslide, and liquefaction zones can trigger geologic clearance for development projects, and Exterior changes to designated landmarks and historic-district properties can require Historic Preservation Permit review
- 24City of San José Bid Opportunities
Used for: City procurement portal publishes opportunities for services, supplies, equipment, technology, construction, and consulting
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.
