70.7 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Pittsburgh, Pennsylvania
We ranked 14 franchise concepts for Pittsburgh, Pennsylvania 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 10 affected concepts
0.5 points average reduction among 10 affected concepts
Tested rank range spans 7 positions
Executive conclusion
What the ranking means for Pittsburgh, Pennsylvania
Our Pittsburgh, Pennsylvania 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 Jan-Pro International produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 10 concepts and added 0.9 points on average among them. Labor and staffing friction was the broadest negative pressure, reducing the 10 exposed concepts by 0.5 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 | 72.7Tier 2 · Favorable modeled alignment | +1.9 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 2 | ActionCOACHBusiness coaching | 72.2Tier 2 · Favorable modeled alignment | +1.5 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 3 | Jan-Pro InternationalCommercial cleaning | 71.8Tier 3 · Mixed modeled alignment | +1.6 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 4 | FASTSIGNSSigns and graphics | 71.8Tier 3 · Mixed modeled alignment | +1.7 ptsTarget-market demand | -0.3 ptsLabor and staffing friction | Moderate evidence confidence |
| 5 | HomeSmilesProperty maintenance services | 71.3Tier 3 · Mixed modeled alignment | +1.0 ptsTarget-market demand | -0.3 ptsLabor and staffing friction | Moderate evidence confidence |
| 6 | Pillar To Post Home InspectorsHome inspection | 70.8Tier 3 · Mixed modeled alignment | +0.4 ptsReferral ecosystem | -0.1 ptsLabor and staffing friction | Moderate evidence confidence |
| 7 | Rainbow International RestorationRestoration | 70.7Tier 3 · Mixed modeled alignment | +0.5 ptsReferral ecosystem | -0.4 ptsLabor and staffing friction | Moderate evidence confidence |
| 8 | PuroCleanRestoration | 70.7Tier 3 · Mixed modeled alignment | +0.6 ptsReferral ecosystem | -0.4 ptsLabor and staffing friction | Moderate evidence confidence |
| 9 | ZOOM DRAINDrain and sewer service | 70.7Tier 3 · Mixed modeled alignment | +0.7 ptsProperty replacement-cycle demand | -0.8 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | Tiger AdjustersPublic insurance adjusting | 70.5Tier 3 · Mixed modeled alignment | +0.4 ptsReferral ecosystem | -0.2 ptsLabor and staffing friction | Moderate evidence confidence |
Original factor comparison
How each factor affected the highest-rated franchise concepts
The graph includes the top 14 concepts by local-alignment score. Only nonzero score contributions are plotted. A factor is removed when every displayed concept received 0.0 points from it. Hover or focus a concept name to highlight all of its remaining data points.
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Labor and staffing friction | Referral ecosystem |
|---|---|---|---|---|
| #1 City Wide | +1.9 pts | — | — | +0.8 pts |
| #2 ActionCOACH | +1.5 pts | — | — | +0.7 pts |
| #3 Jan-Pro International | +1.6 pts | — | — | +0.2 pts |
| #4 FASTSIGNS | +1.7 pts | — | -0.3 pts | +0.3 pts |
| #5 HomeSmiles | +1.0 pts | — | -0.3 pts | +0.6 pts |
| #6 Pillar To Post Home Inspectors | +0.1 pts | +0.3 pts | -0.1 pts | +0.4 pts |
| #7 Rainbow International Restoration | — | +0.5 pts | -0.4 pts | +0.5 pts |
| #8 PuroClean | — | +0.5 pts | -0.4 pts | +0.6 pts |
| #9 ZOOM DRAIN | +0.4 pts | +0.7 pts | -0.8 pts | +0.4 pts |
| #10 Tiger Adjusters | +0.2 pts | — | -0.2 pts | +0.4 pts |
| #11 Mr. Rooter | +0.3 pts | +0.7 pts | -0.9 pts | +0.2 pts |
| #12 Aire Serv | +0.3 pts | +0.7 pts | -0.9 pts | — |
| #13 Workout Anytime | — | — | — | — |
| #14 Mister Sparky Electric | — | +0.6 pts | -1.0 pts | +0.1 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 | +1.9 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| 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 | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.8 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.65 |
| Published local-market alignment | 72.7 |
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, Jan-Pro International 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 Jan-Pro International, FASTSIGNS, Pillar To Post Home Inspectors; their ranks move more widely when individual factors are neutralized.
Factor impact
Which local conditions changed scores or rankings?
We neutralized one factor at a time, recalculated every score, and then measured both absolute score movement and changes in rank order.
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 10 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. Jan-Pro International moved from #3 to #9, the largest movement among concepts directly affected by this factor.
Concepts helped most
Property replacement-cycle demand
We compared the age and condition of relevant property systems with the services each concept is actually equipped to provide.
We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 8 concepts changed position. ZOOM DRAIN moved from #9 to #11, 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 10 of 14 concepts. When we neutralized the factor and recalculated the table, 10 concepts changed position. Mr. Rooter moved from #11 to #7, the largest movement among concepts directly affected by this factor.
Concepts challenged 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, 7 concepts changed position. ZOOM DRAIN moved from #9 to #7, the largest movement among concepts directly affected by this factor.
Concepts helped most
- Competitive environmentNo material score adjustment
- Transportation, routing, and parkingNo material score adjustment
- Real estate and site feasibilityNo material score adjustment
- Sales and customer acquisitionNo material score adjustment
- Territory qualityNo material score adjustment
- Regulatory and operating frictionNo material score adjustment
Category comparisons
Best franchise categories we assessed in Pittsburgh, Pennsylvania
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 Pittsburgh, Pennsylvania
2 Restoration concepts qualified for comparison, with scores ranging from 70.7 to 70.7. Rainbow International Restoration ranked highest at 70.7. Referral ecosystem added 0.6 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 0.4 points on average.
Interpret cautiously: A 0.0-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 70.7–70.7
- Category average
- 70.7
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: 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 | +1.9 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| 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 | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.8 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.65 |
| Published local-market alignment | 72.7 |
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
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.9 pts
- Tested rank range
- #1–#1
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 | Not applicable to this operating model |
| 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 | Depends on the specific site, territory, or operating condition |
| 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 | 72.16 |
| 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
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.5 pts
- Tested rank range
- #2–#4
Most important next check
Which business-owner segments are expected to produce the most repeatable coaching demand for ActionCOACH?
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 | +1.6 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| 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 | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.2 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.81 |
| 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
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.6 pts
- Tested rank range
- #2–#9
Most important next check
What concentration of recurring commercial accounts is required for Jan-Pro International to build an efficient local book of business?
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 | +1.7 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.3 |
| 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 | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.3 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.77 |
| 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
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.7 pts
- Tested rank range
- #3–#10
Most important next check
Which local customer verticals are expected to generate repeat signage and graphics work for FASTSIGNS?
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 | +1.0 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.3 |
| 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 | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.6 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.28 |
| Published local-market alignment | 71.3 |
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
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.0 pts
- Tested rank range
- #5–#7
Most important next check
How many qualified facility and property-management accounts must be reachable for HomeSmiles to support its local contract pipeline?
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 | +0.3 |
| 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 | Depends on the specific site, territory, or operating condition |
| 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
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.4 pts
- Tested rank range
- #5–#11
Most important next check
Which transaction corridors and referral markets would define Pillar To Post Home Inspectors's practical inspection territory?
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 | +0.5 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| 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 | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.5 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.72 |
| 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
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.5 pts
- Tested rank range
- #2–#9
Most important next check
Which insurer, adjuster, and property-management relationships are expected to produce repeatable referrals for Rainbow International Restoration?
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 | +0.5 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| 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 | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.6 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.71 |
| 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
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.6 pts
- Tested rank range
- #3–#9
Most important next check
Which insurer, adjuster, and property-management relationships are expected to produce repeatable referrals for PuroClean?
ZOOM DRAIN
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.4 |
| Property replacement-cycle demand | +0.7 |
| 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 | Depends on the specific site, territory, or operating condition |
| 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 | 70.69 |
| 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
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.8 pts
- Tested rank range
- #6–#11
Most important next check
What after-hours drain and sewer technician coverage must ZOOM DRAIN maintain, and what staffing model protects response times?
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 | -0.2 |
| 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 | Depends on the specific site, territory, or operating condition |
| 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 | 70.49 |
| Published local-market alignment | 70.5 |
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
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.4 pts
- Tested rank range
- #6–#13
Most important next check
Which professional referral channels are expected to matter most to Tiger Adjusters, and what local relationship count supports the plan?
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 | +0.7 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.9 |
| 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 | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.2 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.30 |
| Published local-market alignment | 70.3 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.9 pts
- Tested rank range
- #7–#12
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 | +0.7 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.9 |
| 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 | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | Not applicable to this operating model |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.05 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.9 pts
- Tested rank range
- #10–#14
Most important next check
Which HVAC technician specialties must Aire Serv staff first, and what recruiting and training runway is built into the opening plan?
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 | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| 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 | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | Not applicable to this operating model |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.00 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #10–#14
Most important next check
What trade-area boundary and population base would Workout Anytime use to evaluate the proposed location?
Mister Sparky Electric
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 | +0.6 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.0 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| 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 | 69.80 |
| 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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.0 pts
- Tested rank range
- #12–#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?
No franchise concepts match the selected filters.
Metric registry
The 26 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 | 307,632people | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic census measures | Pittsburgh, Pennsylvania | Evidence for Target-market demand, Territory quality | [4] |
| Population change from the April 2020 estimate base to July 2025 | 1.5percent | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic census measures | Pittsburgh, Pennsylvania | Evidence for Target-market demand | [4] |
| Estimated households in the 2020-2024 period | 138,188households | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic census measures | Pittsburgh, Pennsylvania | Evidence for Target-market demand, Territory quality | [4] |
| Owner-occupied housing unit rate | 47.7percent of occupied housing units | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic census measures | Pittsburgh, Pennsylvania | Evidence for Target-market demand, Property replacement-cycle demand | [4] |
| Persons in poverty | 20.1percent of population | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic census measures | Pittsburgh, Pennsylvania | Evidence for Target-market demand | [4] |
| Total housing units in the 2024 ACS 1-year estimate | 167,913housing units | 2024 American Community Survey 1-year estimates and 2020 Decennial Census | Pittsburgh, Pennsylvania | Evidence for Target-market demand, Property replacement-cycle demand, Territory quality | [5] |
| Employer establishments in the primary county containing Pittsburgh | 33,812establishments | Calendar year 2023 business establishments, employment, payroll, and 2025 population estimate | Allegheny County, Pennsylvania | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition | [6] |
| Employment in employer establishments in the primary county containing Pittsburgh | 709,774jobs | Calendar year 2023 business establishments, employment, payroll, and 2025 population estimate | Allegheny County, Pennsylvania | Evidence for Target-market demand, Labor and staffing friction, Referral ecosystem | [6] |
| Housing units constructed in 1939 or earlier | 66,149housing units | American Community Survey and CoStar data assembled for the January 2022 assessment | Pittsburgh, Pennsylvania | Evidence for Property replacement-cycle demand, Labor and staffing friction | [7] [1] |
| Share of charted housing units constructed in 1939 or earlier | 46.3percent of charted housing units | American Community Survey and CoStar data assembled for the January 2022 assessment | Pittsburgh, Pennsylvania | Evidence for Property replacement-cycle demand, Labor and staffing friction | [7] |
| Share of charted housing units constructed before 1980 | 83.2percent of charted housing units | American Community Survey and CoStar data assembled for the January 2022 assessment | Pittsburgh, Pennsylvania | Evidence for Property replacement-cycle demand, Labor and staffing friction | [7] [1] |
| Multifamily rental share of new construction over the decade described by the 2022 assessment | 90percent of new construction | American Community Survey and CoStar data assembled for the January 2022 assessment | Pittsburgh, Pennsylvania | Evidence for Property replacement-cycle demand, Real estate and site feasibility, Territory quality | [7] |
| University of Pittsburgh Pittsburgh-campus headcount enrollment in Fall 2025 | 31,237students | Fall Term 2025 and fiscal year 2025 | University of Pittsburgh, Pittsburgh campus | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition | [16] |
| University of Pittsburgh Pittsburgh-campus employees in Fall 2025 | 14,888employees | Fall Term 2025 and fiscal year 2025 | University of Pittsburgh, Pittsburgh campus | Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction | [16] |
| Carnegie Mellon University reported students, faculty, and staff in Fall 2025 | students: 16,582; faculty: 1,615; staff: 5,164people by role | Fall 2025 | Carnegie Mellon University; main campus in Pittsburgh | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition, Labor and staffing friction | [17] |
| UPMC reported system employment and facilities | employees: 100,000; hospitals more than: 40; outpatient sites: 800system scale metrics | Calendar year and fiscal year 2025 figures | UPMC, headquartered in Pittsburgh | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition, Labor and staffing friction | [18] |
| Mean hourly wages for selected occupational groups | all occupations: 31.36; food preparation and serving: 16.46; healthcare support: 17.66; building and grounds cleaning and maintenance: 18.69; construction and extraction: 32.06; installation maintenance and repair: 29.13; office and administrative support: 23.44usd per hour | May 2025 | Pittsburgh, Pennsylvania MSA | Evidence for Labor and staffing friction | [8] [2] |
| Pittsburgh-area wage differences from national means for selected occupational groups | all occupations: -2.18; food preparation and serving: -1.4; healthcare support: -1.96; building and grounds cleaning and maintenance: -0.97; construction and extraction: 0.64; installation maintenance and repair: -1.31; office and administrative support: -1.35usd per hour difference pittsburgh minus us | May 2025 | Pittsburgh, Pennsylvania MSA | Evidence for Labor and staffing friction | [8] |
| Current Smart Loading Zone operating rules | grace period minutes: 15; enforcement days: Monday-Saturday; enforcement hours: 8:00-18:00; post grace registration and payment required: yes; rates vary by neighborhood: yesrule attributes | Current operating rules accessed August 2026; pilot results January 2022 through December 2024 | Pittsburgh Smart Loading Zones | Evidence for Transportation, routing, and parking, Territory quality, Regulatory and operating friction | [9] [3] |
| Reported Smart Loading Zone pilot outcomes from January 2022 through December 2024 | turnover change: 70; average park duration change: -60; maximum share using grace period: 85percent | Current operating rules accessed August 2026; pilot results January 2022 through December 2024 | Pittsburgh Smart Loading Zone pilot locations | Evidence for Transportation, routing, and parking | [9] |
| Exterior work on a property in a city-designated historic district requires historic review and a Certificate of Appropriateness | yesboolean | Current process accessed August 2026 | City-designated historic properties and districts in Pittsburgh | Evidence for Regulatory and operating friction, Territory quality, Sales and customer acquisition | [10] [3] |
| Property and project conditions that can trigger a geotechnical report | landslide prone overlay: new construction, multi story addition; undermined area overlay: new construction or enlargement subject to project type and overburden rules; steep slope: cut or fill slope over 25 percent unless certifiedrule attributes | Current zoning guidance accessed August 2026 | Applicable Pittsburgh parcels and projects | Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality | [11] [12] [13] [3] |
| Nonresidential monthly stormwater rate per equivalent residential unit | 11.5usd per eru per month | Rates effective March 8, 2026 | Pittsburgh Water customers | Evidence for Regulatory and operating friction, Real estate and site feasibility | [14] |
| Illustrative monthly Pittsburgh Water bill for a commercial customer using 13,000 gallons with a 1-inch meter and eight ERUs | prior rate bill: 425.81; rate 2026 bill: 491.83; change percent: 15.5usd per month and percent | Illustrative class bills for 2026 rates effective March 8, 2026 | Typical Pittsburgh Water commercial customer defined by the utility | Evidence for Regulatory and operating friction, Real estate and site feasibility | [15] |
| Pittsburgh office market directional measures in Q2 2026 | quarterly net absorption sqft: 297,000; vacancy change qoq bps: 0; vacancy change yoy bps: 20; asking rent change qoq percent: 1.5; asking rent change yoy percent: 1.3; construction pipeline sqft: 0market metrics | Second quarter 2026 | Pittsburgh office market | Evidence for Real estate and site feasibility, Target-market demand, Territory quality | [19] |
| Pittsburgh industrial market measures in Q2 2026 | vacancy percent: 5.4; availability percent: 6.2; average asking rent usd per sqft: 7.73; quarterly net absorption sqft: -68,000; construction pipeline sqft: 959,000market metrics | Second quarter 2026 | Pittsburgh industrial market | Evidence for Real estate and site feasibility, Territory quality | [20] |
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.
- 1United States Structural Inefficiency and CRE Arbitrage AuditInternal or supplied research; not publicly accessible.
Used for: Housing units constructed in 1939 or earlier and Share of charted housing units constructed before 1980
- 2Jurisdictional Friction and Structural Capital Constraints: A Forensic Audit of Municipal Operating EnvironmentsInternal or supplied research; not publicly accessible.
Used for: Mean hourly wages for selected occupational groups
- 3Franchise city and neighborhood operating-condition recordsInternal or supplied research; not publicly accessible.
Used for: Current Smart Loading Zone operating rules, Exterior work on a property in a city-designated historic district requires historic review and a Certificate of Appropriateness, and Property and project conditions that can trigger a geotechnical report
- 4QuickFacts: Pittsburgh city, Pennsylvania
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Estimated households in the 2020-2024 period, Owner-occupied housing unit rate, and Persons in poverty
- 5Pittsburgh city, Pennsylvania - Census Bureau Profile
Used for: Total housing units in the 2024 ACS 1-year estimate
- 6QuickFacts: Allegheny County, Pennsylvania
Used for: Employer establishments in the primary county containing Pittsburgh and Employment in employer establishments in the primary county containing Pittsburgh
- 7Pittsburgh Housing Needs Assessment
Used for: Housing units constructed in 1939 or earlier, Share of charted housing units constructed in 1939 or earlier, Share of charted housing units constructed before 1980, and Multifamily rental share of new construction over the decade described by the 2022 assessment
- 8Occupational Employment and Wages in Pittsburgh — May 2025
Used for: Mean hourly wages for selected occupational groups and Pittsburgh-area wage differences from national means for selected occupational groups
- 9Smart Loading Zones
Used for: Current Smart Loading Zone operating rules and Reported Smart Loading Zone pilot outcomes from January 2022 through December 2024
- 10Apply for Historic Review
Used for: Exterior work on a property in a city-designated historic district requires historic review and a Certificate of Appropriateness
- 11Geotechnical Reports
Used for: Property and project conditions that can trigger a geotechnical report
- 12Environmental Review
Used for: Property and project conditions that can trigger a geotechnical report
- 13Planning Application and Process
Used for: Property and project conditions that can trigger a geotechnical report
- 14Rates
Used for: Nonresidential monthly stormwater rate per equivalent residential unit
- 15Our Water Future
Used for: Illustrative monthly Pittsburgh Water bill for a commercial customer using 13,000 gallons with a 1-inch meter and eight ERUs
- 16Institutional Research and Analytics: By the Numbers
Used for: University of Pittsburgh Pittsburgh-campus headcount enrollment in Fall 2025 and University of Pittsburgh Pittsburgh-campus employees in Fall 2025
- 17Our Data
Used for: Carnegie Mellon University reported students, faculty, and staff in Fall 2025
- 18By the Numbers: UPMC Facts and Figures
Used for: UPMC reported system employment and facilities
- 19Pittsburgh Office Figures Q2 2026
Used for: Pittsburgh office market directional measures in Q2 2026
- 20Pittsburgh Industrial Figures Q2 2026
Used for: Pittsburgh industrial market measures in Q2 2026
Before contacting a franchisor
Complete the next layer of due diligence
- Confirm the exact protected territory and neighboring units.
- Review the current Franchise Disclosure Document.
- Validate local staffing, licensing, insurance, and service-base assumptions.
- Obtain location, vehicle, buildout, or working-capital estimates.
- Speak with current and former franchisees.
- Build a candidate-specific financial scenario.
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.
