70.1 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Salt Lake City, Utah
We ranked 14 franchise concepts for Salt Lake City, Utah 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
1.2 points average among 11 affected concepts
0.5 points average reduction among 14 affected concepts
Tested rank range spans 12 positions
Executive conclusion
What the ranking means for Salt Lake City, Utah
Our Salt Lake City, Utah 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 1.2 points on average among them. Labor and staffing friction was the broadest negative pressure, reducing the 14 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 | 73.0Tier 2 · Favorable modeled alignment | +2.9 ptsTarget-market demand | -0.2 ptsLabor and staffing friction | Moderate evidence confidence |
| 2 | ActionCOACHBusiness coaching | 72.4Tier 2 · Favorable modeled alignment | +2.1 ptsTarget-market demand | -0.1 ptsLabor and staffing friction | Moderate evidence confidence |
| 3 | FASTSIGNSSigns and graphics | 72.2Tier 2 · Favorable modeled alignment | +2.4 ptsTarget-market demand | -0.3 ptsLabor and staffing friction | Moderate evidence confidence |
| 4 | Jan-Pro InternationalCommercial cleaning | 71.7Tier 3 · Mixed modeled alignment | +2.5 ptsTarget-market demand | -0.7 ptsLabor and staffing friction | Moderate evidence confidence |
| 5 | HomeSmilesProperty maintenance services | 71.3Tier 3 · Mixed modeled alignment | +1.4 ptsTarget-market demand | -0.5 ptsLabor and staffing friction | Moderate evidence confidence |
| 6 | ZOOM DRAINDrain and sewer service | 70.7Tier 3 · Mixed modeled alignment | +0.6 ptsProperty replacement-cycle demand | -0.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 7 | Pillar To Post Home InspectorsHome inspection | 70.6Tier 3 · Mixed modeled alignment | +0.3 ptsProperty replacement-cycle demand | -0.1 ptsLabor and staffing friction | Moderate evidence confidence |
| 8 | Mr. RooterPlumbing | 70.4Tier 3 · Mixed modeled alignment | +0.6 ptsProperty replacement-cycle demand | -0.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 9 | Tiger AdjustersPublic insurance adjusting | 70.4Tier 3 · Mixed modeled alignment | +0.3 ptsTarget-market demand | -0.2 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | Aire ServHVAC installation, repair, and maintenance | 70.2Tier 3 · Mixed modeled alignment | +0.5 ptsProperty replacement-cycle demand | -0.8 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 | +2.9 pts | — | -0.2 pts | +0.3 pts |
| #2 ActionCOACH | +2.1 pts | — | -0.1 pts | +0.4 pts |
| #3 FASTSIGNS | +2.4 pts | — | -0.3 pts | +0.1 pts |
| #4 Jan-Pro International | +2.5 pts | — | -0.7 pts | — |
| #5 HomeSmiles | +1.4 pts | — | -0.5 pts | +0.3 pts |
| #6 ZOOM DRAIN | +0.4 pts | +0.6 pts | -0.6 pts | +0.2 pts |
| #7 Pillar To Post Home Inspectors | +0.2 pts | +0.3 pts | -0.1 pts | +0.3 pts |
| #8 Mr. Rooter | +0.3 pts | +0.6 pts | -0.6 pts | +0.1 pts |
| #9 Tiger Adjusters | +0.3 pts | — | -0.2 pts | +0.3 pts |
| #10 Aire Serv | +0.4 pts | +0.5 pts | -0.8 pts | — |
| #11 Rainbow International Restoration | +0.1 pts | +0.4 pts | -0.7 pts | +0.3 pts |
| #12 PuroClean | — | +0.4 pts | -0.6 pts | +0.3 pts |
| #13 Mister Sparky Electric | — | +0.5 pts | -0.7 pts | +0.1 pts |
| #14 Workout Anytime | — | — | -0.5 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 | +2.9 |
| 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| 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 | 72.99 |
| Published local-market alignment | 73.0 |
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 City Wide, FASTSIGNS, 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, 13 concepts changed position. Jan-Pro International moved from #4 to #14, 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 #6 to #8, 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, 9 concepts changed position. Pillar To Post Home Inspectors moved from #7 to #11, 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 11 of 14 concepts. When we neutralized the factor and recalculated the table, 7 concepts changed position. Mister Sparky Electric moved from #13 to #11, the largest movement among concepts directly affected by this factor.
Concepts helped most
- Competitive environmentNo material score adjustment
- Transportation, routing, and parkingNo material score adjustment
- Real estate and site feasibilityNo material score adjustment
- Sales and customer acquisitionNo material score adjustment
- Territory qualityNo material score adjustment
- Regulatory and operating frictionNo material score adjustment
Category comparisons
Best franchise categories we assessed in Salt Lake City, Utah
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 Salt Lake City, Utah
2 Restoration concepts qualified for comparison, with scores ranging from 70.1 to 70.1. Rainbow International Restoration ranked highest at 70.1. Property replacement-cycle demand added 0.4 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 0.6 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
- 70.1–70.1
- Category average
- 70.1
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: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.9 |
| 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| 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 | 72.99 |
| Published local-market alignment | 73.0 |
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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.9 pts
- Tested rank range
- #1–#6
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: 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 | +2.1 |
| 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.40 |
| Published local-market alignment | 72.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.1 pts
- Tested rank range
- #2–#3
Most important next check
Which business-owner segments are expected to produce the most repeatable coaching demand for ActionCOACH?
FASTSIGNS
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.4 |
| 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.1 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.18 |
| 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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.4 pts
- Tested rank range
- #2–#12
Most important next check
Which local customer verticals are expected to generate repeat signage and graphics work for FASTSIGNS?
Jan-Pro International
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.5 |
| 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not applicable to this operating model |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.72 |
| Published local-market alignment | 71.7 |
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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.5 pts
- Tested rank range
- #2–#14
Most important next check
What concentration of recurring commercial accounts is required for Jan-Pro International to build an efficient local book of business?
HomeSmiles
Rank sensitivity: 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 | +1.4 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.5 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +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 | 71.26 |
| 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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.4 pts
- Tested rank range
- #5–#10
Most important next check
How many qualified facility and property-management accounts must be reachable for HomeSmiles to support its local contract pipeline?
ZOOM DRAIN
Rank sensitivity: 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 | +0.6 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +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 | 70.67 |
| 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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.6 pts
- Tested rank range
- #3–#8
Most important next check
How much secure vehicle and equipment storage does ZOOM DRAIN require at its operating base?
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 | +0.2 |
| 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| 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 | 70.60 |
| Published local-market alignment | 70.6 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.3 pts
- Tested rank range
- #1–#11
Most important next check
Which transaction corridors and referral markets would define Pillar To Post Home Inspectors's practical inspection territory?
Mr. Rooter
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.3 |
| Property replacement-cycle demand | +0.6 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.1 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.38 |
| Published local-market alignment | 70.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.6 pts
- Tested rank range
- #7–#9
Most important next check
Which ZIP codes and appointment density assumptions define Mr. Rooter's practical service territory?
Tiger Adjusters
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.2 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.3 |
| 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 | 70.37 |
| Published local-market alignment | 70.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.3 pts
- Tested rank range
- #5–#13
Most important next check
Which ZIP codes and appointment density assumptions define Tiger Adjusters's practical service territory?
Aire Serv
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.4 |
| Property replacement-cycle demand | +0.5 |
| 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not applicable to this operating model |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.15 |
| Published local-market alignment | 70.2 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.8 pts
- Tested rank range
- #8–#12
Most important next check
How much secure vehicle and equipment storage does Aire Serv require at its operating base?
Rainbow International Restoration
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.1 |
| Property replacement-cycle demand | +0.4 |
| 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| 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 | 70.13 |
| Published local-market alignment | 70.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.7 pts
- Tested rank range
- #7–#11
Most important next check
How much secure vehicle and equipment storage does Rainbow International Restoration require at its operating base?
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 | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.3 |
| 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 | 70.11 |
| Published local-market alignment | 70.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.6 pts
- Tested rank range
- #4–#13
Most important next check
How much secure vehicle and equipment storage does PuroClean require at its operating base?
Mister Sparky Electric
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.5 |
| 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.1 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.89 |
| Published local-market alignment | 69.9 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.7 pts
- Tested rank range
- #9–#14
Most important next check
Which ZIP codes and appointment density assumptions define Mister Sparky Electric's practical service territory?
Workout Anytime
Rank sensitivity: Stable
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.5 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not applicable to this operating model |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.46 |
| 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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.5 pts
- Tested rank range
- #13–#14
Most important next check
What trade-area boundary and population base would Workout Anytime use to evaluate the proposed location?
No franchise concepts match the selected filters.
Metric registry
The 33 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 | 218,428people | Population estimate July 1, 2025; socioeconomic estimates primarily 2020-2024; business receipts 2022 | Salt Lake City, Utah | Evidence for Target-market demand, Territory quality | [7] |
| Population change from April 2020 base to July 2025 estimate | 9.4percent | Population estimate July 1, 2025; socioeconomic estimates primarily 2020-2024; business receipts 2022 | Salt Lake City, Utah | Evidence for Target-market demand, Territory quality | [7] |
| Households in the 2024 ACS one-year estimate | 98,916households | 2024 American Community Survey 1-year estimates | Salt Lake City, Utah | Evidence for Target-market demand, Territory quality | [8] [9] |
| Housing units in the 2024 ACS one-year estimate | 107,629housing units | 2024 American Community Survey 1-year estimates | Salt Lake City, Utah | Evidence for Target-market demand, Property replacement-cycle demand, Territory quality | [8] [9] |
| Salt Lake City reports a business base greater than 20,000 businesses | 20,000businesses lower bound | Current city business-development page accessed 2026-08-05 | Salt Lake City, Utah | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition | [10] |
| Accommodation and food services sales | 1,534,734,000usd | Population estimate July 1, 2025; socioeconomic estimates primarily 2020-2024; business receipts 2022 | Salt Lake City, Utah | Evidence for Target-market demand | [7] |
| Health care and social assistance receipts/revenue | 6,827,165,000usd | Population estimate July 1, 2025; socioeconomic estimates primarily 2020-2024; business receipts 2022 | Salt Lake City, Utah | Evidence for Target-market demand, Referral ecosystem | [7] |
| Transportation and warehousing receipts/revenue | 8,947,622,000usd | Population estimate July 1, 2025; socioeconomic estimates primarily 2020-2024; business receipts 2022 | Salt Lake City, Utah | Evidence for Target-market demand, Labor and staffing friction, Real estate and site feasibility | [7] |
| University of Utah total enrollment | 38,261students | Academic year 2025-2026 | University of Utah, Salt Lake City campus | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition | [12] |
| Share of city housing stock built before 1960 | 43.3percent | Housing evidence primarily 2018-2022 ACS and 2024 city records | Salt Lake City, Utah | Evidence for Property replacement-cycle demand, Labor and staffing friction | [13] |
| Share of city housing stock built before 1940 | 29percent | Housing evidence primarily 2018-2022 ACS and 2024 city records | Salt Lake City, Utah | Evidence for Property replacement-cycle demand, Labor and staffing friction | [13] |
| Owner-occupied units built before 1960 | 25,000housing units | Housing evidence primarily 2018-2022 ACS and 2024 city records | Salt Lake City, Utah | Evidence for Property replacement-cycle demand | [13] |
| Housing units lacking complete kitchen or plumbing facilities | 635housing units | Housing evidence primarily 2018-2022 ACS and 2024 city records | Salt Lake City, Utah | Evidence for Property replacement-cycle demand, Regulatory and operating friction | [13] |
| Housing units in multi-unit structures | 54.9percent | 2023 ACS and city district data | Salt Lake City, Utah | Evidence for Target-market demand, Property replacement-cycle demand, Territory quality | [14] |
| Housing units in structures with ten or more units | 35percent | 2023 ACS and city district data | Salt Lake City, Utah | Evidence for Target-market demand, Referral ecosystem, Territory quality | [14] |
| Council-district housing mix varies materially | district 4 share in 10 plus unit structures percent: 68.9; district 6 detached single family share percent: 74.9percent by district | 2023 ACS and city district data | Salt Lake City council districts | Evidence for Territory quality, Target-market demand, Property replacement-cycle demand | [14] |
| Utah unemployment rate | 3.6percent | June 2026 | Utah | Evidence for Labor and staffing friction | [15] |
| Salt Lake City metropolitan unemployment rate reported in the office market brief | 3.7percent | Q2 2026 | Salt Lake City metropolitan area | Evidence for Labor and staffing friction | [17] |
| DWS describes unemployment rates from 4.0 to 4.8 percent as broadly balanced | minimum: 4; maximum: 4.8percent range | Current DWS interpretive benchmark accessed 2026-08-05 | Utah labor markets | Evidence for Labor and staffing friction | [16] |
| Office vacancy reported by Cushman & Wakefield | 22.2percent | Q2 2026 | Salt Lake City office market | Evidence for Target-market demand, Real estate and site feasibility | [17] |
| Office market recorded more than 710,000 square feet of positive year-to-date absorption | 710,000square feet lower bound | Q2 2026 | Salt Lake City metropolitan office market | Evidence for Target-market demand, Real estate and site feasibility | [18] |
| Industrial vacancy reported by CBRE | 7.2percent | Q2 2026 | Salt Lake City industrial market | Evidence for Real estate and site feasibility | [19] |
| Direct industrial vacancy reported by Colliers | 4.79percent | Q2 2026 | Salt Lake County industrial market | Evidence for Real estate and site feasibility | [20] |
| Flex product commands above-average rents and well-located industrial availability is limited | yesboolean | Q2 2026 | Salt Lake County industrial market | Evidence for Real estate and site feasibility | [20] |
| Paid-parking time limits are two hours during the day and four hours after 6 p.m. in covered areas | daytime limit hours: 2; after 6pm limit hours: 4hours | Parking changes effective July 1, 2025 | Salt Lake City paid-parking areas | Evidence for Transportation, routing, and parking, Real estate and site feasibility, Territory quality | [21] |
| Qualifying residential permit areas may use posted two-hour or no-parking restrictions | yesboolean | Current program rules accessed 2026-08-05 | Qualifying Salt Lake City permit-parking areas | Evidence for Transportation, routing, and parking, Territory quality | [22] [6] |
| Exterior changes and proposed demolitions in local historic districts and at landmarks are subject to design review | yesboolean | Current district and review framework accessed 2026-08-05 | Designated Salt Lake City local historic districts and landmarks | Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality | [23] [24] [6] |
| Salt Lake City and State of Utah solicitations use formal public procurement platforms | yesboolean | Current procurement process accessed 2026-08-05 | Salt Lake City and State of Utah public-sector accounts | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition | [25] [26] |
| Salt Lake Valley experiences recurring winter inversion conditions associated with elevated particulate concentrations | yesrecurring condition | Long-run Wasatch Front winter particulate research | Salt Lake Valley and Wasatch Front | Evidence for Property replacement-cycle demand, Transportation, routing, and parking, Regulatory and operating friction | [27] |
| EPA redesignated the Salt Lake City PM2.5 area to attainment with a maintenance plan | yesregulatory status | PM2.5 redesignation effective 2025 with maintenance plan through at least 2035 | Salt Lake City PM2.5 area | Evidence for Regulatory and operating friction | [28] |
| USGS identifies exposed Great Salt Lake dry lakebed dust as a potential pollutant source for nearby communities | yesscientific finding | Ongoing research on exposed lakebed dust | Great Salt Lake and nearby Wasatch Front communities | Evidence for Property replacement-cycle demand, Regulatory and operating friction | [29] |
| 600/700 North reconstruction and Jordan River bridge work are active through 2026 | yestemporary active condition | Active reconstruction through 2026 | 600/700 North from 800 West to Redwood Road, Salt Lake City | Evidence for Transportation, routing, and parking, Territory quality | [31] [30] |
| UDOT plans an I-15 reconstruction project from Farmington to Salt Lake City | yesproposed project | Planned corridor reconstruction; current project page accessed 2026-08-05 | I-15 from Farmington to Salt Lake City | Evidence for Transportation, routing, and parking | [32] [5] |
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 5, 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.
- 2Valid city JSON exampleInternal or supplied research; not publicly accessible.
- 3Compiler-ready city research JSON promptInternal or supplied research; not publicly accessible.
- 4United States Structural Inefficiency and CRE Arbitrage AuditInternal or supplied research; not publicly accessible.
- 5Forensic Audit Report: Structural Capital Constraints and Jurisdictional Risk ProfilesInternal or supplied research; not publicly accessible.
Used for: UDOT plans an I-15 reconstruction project from Farmington to Salt Lake City
- 6Franchise data - remake - Combine2 neighborhood research tableInternal or supplied research; not publicly accessible.
Used for: Qualifying residential permit areas may use posted two-hour or no-parking restrictions and Exterior changes and proposed demolitions in local historic districts and at landmarks are subject to design review
- 7Salt Lake City city, Utah — QuickFacts
Used for: Resident population estimate on July 1, 2025, Population change from April 2020 base to July 2025 estimate, Accommodation and food services sales, Health care and social assistance receipts/revenue, and Transportation and warehousing receipts/revenue
- 8Salt Lake City city, Utah profile
Used for: Households in the 2024 ACS one-year estimate and Housing units in the 2024 ACS one-year estimate
- 9Salt Lake City, UT profile data
Used for: Households in the 2024 ACS one-year estimate and Housing units in the 2024 ACS one-year estimate
- 10Business Development
Used for: Salt Lake City reports a business base greater than 20,000 businesses
- 11
- 12University of Utah Analytics
Used for: University of Utah total enrollment
- 13Salt Lake City 2025-2029 Consolidated Plan
Used for: Share of city housing stock built before 1960, Share of city housing stock built before 1940, Owner-occupied units built before 1960, and Housing units lacking complete kitchen or plumbing facilities
- 14Salt Lake City Data Book 2025
Used for: Housing units in multi-unit structures, Housing units in structures with ten or more units, and Council-district housing mix varies materially
- 15Utah Employment Update
Used for: Utah unemployment rate
- 16County Unemployment Rate Interpretation
Used for: DWS describes unemployment rates from 4.0 to 4.8 percent as broadly balanced
- 17Salt Lake City Office MarketBeat Q2 2026
Used for: Salt Lake City metropolitan unemployment rate reported in the office market brief and Office vacancy reported by Cushman & Wakefield
- 18Suburban vs. Downtown Office Q2 2026
Used for: Office market recorded more than 710,000 square feet of positive year-to-date absorption
- 19Salt Lake City Industrial Figures Q2 2026
Used for: Industrial vacancy reported by CBRE
- 20Salt Lake County Industrial Q2 2026
Used for: Direct industrial vacancy reported by Colliers and Flex product commands above-average rents and well-located industrial availability is limited
- 21Parking Updates
Used for: Paid-parking time limits are two hours during the day and four hours after 6 p.m. in covered areas
- 22Residential Permit Parking Program
Used for: Qualifying residential permit areas may use posted two-hour or no-parking restrictions
- 23Local Historic Districts and Landmarks
Used for: Exterior changes and proposed demolitions in local historic districts and at landmarks are subject to design review
- 24Historic Preservation Design Guidelines and Ordinance Regulations
Used for: Exterior changes and proposed demolitions in local historic districts and at landmarks are subject to design review
- 25Salt Lake City Purchasing and Contracts
Used for: Salt Lake City and State of Utah solicitations use formal public procurement platforms
- 26State of Utah Division of Purchasing and General Services
Used for: Salt Lake City and State of Utah solicitations use formal public procurement platforms
- 27Winter Inversion Study
Used for: Salt Lake Valley experiences recurring winter inversion conditions associated with elevated particulate concentrations
- 28EPA declares Salt Lake City and Provo areas meet air quality standards after 15 years
Used for: EPA redesignated the Salt Lake City PM2.5 area to attainment with a maintenance plan
- 29Dust from Great Salt Lake dry lakebed: a possible health risk
Used for: USGS identifies exposed Great Salt Lake dry lakebed dust as a potential pollutant source for nearby communities
- 30Street Projects
Used for: 600/700 North reconstruction and Jordan River bridge work are active through 2026
- 31600/700 North Reconstruction
Used for: 600/700 North reconstruction and Jordan River bridge work are active through 2026
- 32I-15 Farmington to Salt Lake City Reconstruction
Used for: UDOT plans an I-15 reconstruction project from Farmington to Salt Lake City
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.
