65.3 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Seattle, Washington
We ranked 14 franchise concepts for Seattle, Washington 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
1.5 points average among 12 affected concepts
2.8 points average reduction among 14 affected concepts
Tested rank range spans 4 positions
Executive conclusion
What the ranking means for Seattle, Washington
Our Seattle, Washington 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. ActionCOACH, City Wide, and FASTSIGNS produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 12 concepts and added 1.5 points on average among them. Labor and staffing friction was the broadest negative pressure, reducing the 14 exposed concepts by 2.8 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 | ActionCOACHBusiness coaching | 72.3Tier 2 · Favorable modeled alignment | +2.2 ptsTarget-market demand | -0.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 2 | City WideFacility management | 72.1Tier 2 · Favorable modeled alignment | +2.8 ptsTarget-market demand | -1.5 ptsLabor and staffing friction | Moderate evidence confidence |
| 3 | FASTSIGNSSigns and graphics | 70.3Tier 3 · Mixed modeled alignment | +2.5 ptsTarget-market demand | -1.9 ptsLabor and staffing friction | Moderate evidence confidence |
| 4 | Pillar To Post Home InspectorsHome inspection | 69.6Tier 3 · Mixed modeled alignment | +1.2 ptsTarget-market demand | -1.1 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 5 | HomeSmilesProperty maintenance services | 69.4Tier 3 · Mixed modeled alignment | +2.2 ptsTarget-market demand | -3.0 ptsLabor and staffing friction | Moderate evidence confidence |
| 6 | Tiger AdjustersPublic insurance adjusting | 68.7Tier 3 · Mixed modeled alignment | +0.6 ptsTarget-market demand | -1.8 ptsLabor and staffing friction | Moderate evidence confidence |
| 7 | Jan-Pro InternationalCommercial cleaning | 68.3Tier 3 · Mixed modeled alignment | +2.4 ptsTarget-market demand | -3.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 8 | Workout AnytimeFitness | 67.9Tier 3 · Mixed modeled alignment | +0.5 ptsTarget-market demand | -2.4 ptsLabor and staffing friction | Moderate evidence confidence |
| 9 | Mister Sparky ElectricElectrical | 66.3Tier 3 · Mixed modeled alignment | +0.7 ptsProperty replacement-cycle demand | -3.8 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | ZOOM DRAINDrain and sewer service | 65.8Tier 3 · Mixed modeled alignment | +1.1 ptsTarget-market demand | -3.5 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 | Transportation, routing, and parking | Referral ecosystem |
|---|---|---|---|---|---|
| #1 ActionCOACH | +2.2 pts | — | -0.6 pts | -0.1 pts | +0.8 pts |
| #2 City Wide | +2.8 pts | — | -1.5 pts | -0.1 pts | +0.9 pts |
| #3 FASTSIGNS | +2.5 pts | — | -1.9 pts | -0.7 pts | +0.4 pts |
| #4 Pillar To Post Home Inspectors | +1.2 pts | — | -1.0 pts | -1.1 pts | +0.5 pts |
| #5 HomeSmiles | +2.2 pts | — | -3.0 pts | -0.6 pts | +0.7 pts |
| #6 Tiger Adjusters | +0.6 pts | — | -1.8 pts | -0.6 pts | +0.5 pts |
| #7 Jan-Pro International | +2.4 pts | — | -3.6 pts | -0.7 pts | +0.2 pts |
| #8 Workout Anytime | +0.5 pts | — | -2.4 pts | -0.2 pts | — |
| #9 Mister Sparky Electric | +0.6 pts | +0.7 pts | -3.8 pts | -1.5 pts | +0.2 pts |
| #10 ZOOM DRAIN | +1.1 pts | — | -3.5 pts | -2.3 pts | +0.5 pts |
| #11 Mr. Rooter | +1.1 pts | — | -3.5 pts | -2.1 pts | +0.2 pts |
| #12 Rainbow International Restoration | — | — | -3.7 pts | -1.6 pts | +0.6 pts |
| #13 PuroClean | — | — | -3.6 pts | -1.9 pts | +0.7 pts |
| #14 Aire Serv | +1.2 pts | +0.6 pts | -4.8 pts | -1.8 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 ActionCOACH
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 | +2.2 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | -0.1 |
| 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 | 72.32 |
| Published local-market alignment | 72.3 |
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
ActionCOACH, City Wide, 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 HomeSmiles, ZOOM DRAIN, Aire Serv; 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 12 of 14 concepts. When we neutralized the factor and recalculated the table, 10 concepts changed position. Tiger Adjusters moved from #6 to #4, 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 2 of 14 concepts. When we neutralized the factor and recalculated the table, 3 concepts changed position. Mister Sparky Electric 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 14 of 14 concepts. When we neutralized the factor and recalculated the table, 12 concepts changed position. Aire Serv moved from #14 to #10, the largest movement among concepts directly affected by this factor.
Concepts challenged most
Transportation, routing, and parking
We recalculated route-dependent models after accounting for travel corridors, parking, and the number of productive stops they require.
We applied a measurable adjustment to 14 of 14 concepts. When we neutralized the factor and recalculated the table, 5 concepts changed position. ZOOM DRAIN moved from #10 to #8, 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, 5 concepts changed position. Mr. Rooter moved from #11 to #10, the largest movement among concepts directly affected by this factor.
Concepts helped most
- Competitive environmentNo 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 Seattle, Washington
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 Seattle, Washington
2 Restoration concepts qualified for comparison, with scores ranging from 65.2 to 65.3. Rainbow International Restoration ranked highest at 65.3. Referral ecosystem added 0.7 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 3.6 points on average.
Interpret cautiously: A 0.1-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 65.2–65.3
- Category average
- 65.3
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.
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 | +2.2 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | -0.1 |
| 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 | 72.32 |
| Published local-market alignment | 72.3 |
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
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.2 pts
- Tested rank range
- #1–#2
Most important next check
Which business-owner segments are expected to produce the most repeatable coaching demand for ActionCOACH?
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 | +2.8 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.5 |
| Transportation, routing, and parking | -0.1 |
| 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 | +0.9 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.06 |
| Published local-market alignment | 72.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.8 pts
- Tested rank range
- #1–#2
Most important next check
How many qualified facility and property-management accounts must be reachable for City Wide to support its local contract pipeline?
FASTSIGNS
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.5 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.9 |
| Transportation, routing, and parking | -0.7 |
| 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 | 70.26 |
| 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
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.5 pts
- Tested rank range
- #3–#5
Most important next check
Which local customer verticals are expected to generate repeat signage and graphics work for FASTSIGNS?
Pillar To Post Home Inspectors
Rank sensitivity: 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 | +1.2 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.0 |
| Transportation, routing, and parking | -1.1 |
| 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 | 69.58 |
| Published local-market alignment | 69.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.2 pts
- Tested rank range
- #3–#6
Most important next check
What service radius and drive-time ceiling has Pillar To Post Home Inspectors validated for the proposed territory?
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 | +2.2 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -3.0 |
| Transportation, routing, and parking | -0.6 |
| 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 | 69.41 |
| Published local-market alignment | 69.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -3.0 pts
- Tested rank range
- #3–#7
Most important next check
How many qualified facility and property-management accounts must be reachable for HomeSmiles to support its local contract pipeline?
Tiger Adjusters
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 | +0.6 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.8 |
| Transportation, routing, and parking | -0.5 |
| 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 | 68.73 |
| Published local-market alignment | 68.7 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.8 pts
- Tested rank range
- #4–#7
Most important next check
What local sales staffing and activity level are required for Tiger Adjusters to build its initial pipeline?
Jan-Pro International
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.4 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -3.6 |
| Transportation, routing, and parking | -0.7 |
| 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 | 68.27 |
| Published local-market alignment | 68.3 |
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
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -3.6 pts
- Tested rank range
- #5–#8
Most important next check
What opening staffing ratio, wage range, and retention plan does Jan-Pro International assume for frontline roles?
Workout Anytime
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 | +0.5 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.4 |
| Transportation, routing, and parking | -0.2 |
| 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 | 67.92 |
| Published local-market alignment | 67.9 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -2.4 pts
- Tested rank range
- #6–#9
Most important next check
What manager profile and compensation range does Workout Anytime assume before the owner can step back from daily operations?
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 | +0.6 |
| Property replacement-cycle demand | +0.7 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -3.8 |
| Transportation, routing, and parking | -1.5 |
| 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 | 66.26 |
| Published local-market alignment | 66.3 |
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
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -3.8 pts
- Tested rank range
- #9–#11
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?
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 | +1.1 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -3.5 |
| Transportation, routing, and parking | -2.3 |
| 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 | 65.84 |
| Published local-market alignment | 65.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -3.5 pts
- Tested rank range
- #8–#12
Most important next check
What after-hours drain and sewer technician coverage must ZOOM DRAIN maintain, and what staffing model protects response times?
Mr. Rooter
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.1 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -3.5 |
| Transportation, routing, and parking | -2.1 |
| 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 | 65.71 |
| Published local-market alignment | 65.7 |
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
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -3.5 pts
- Tested rank range
- #10–#13
Most important next check
What mix of scheduled-service plumbers and emergency-response capacity must Mr. Rooter staff for the proposed territory?
Rainbow International Restoration
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 | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -3.7 |
| Transportation, routing, and parking | -1.6 |
| 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 | 65.34 |
| Published local-market alignment | 65.3 |
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
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -3.7 pts
- Tested rank range
- #10–#13
Most important next check
What opening staffing ratio, wage range, and retention plan does Rainbow International Restoration assume for frontline roles?
PuroClean
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -3.6 |
| Transportation, routing, and parking | -1.9 |
| 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 | 65.24 |
| Published local-market alignment | 65.2 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -3.6 pts
- Tested rank range
- #11–#14
Most important next check
What dispatch zones and maximum drive-time assumptions does PuroClean use for urgent service calls?
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 | +1.2 |
| Property replacement-cycle demand | +0.6 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -4.8 |
| Transportation, routing, and parking | -1.8 |
| 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 | 65.14 |
| Published local-market alignment | 65.1 |
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
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- High evidence confidence
- Largest absolute effect
- Labor and staffing friction -4.8 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?
No franchise concepts match the selected filters.
Metric registry
The 36 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 | 784,777people | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business statistics | Seattle, Washington | Evidence for Target-market demand, Territory quality | [1] |
| Population change from the April 2020 estimate base to July 2025 | 6.5percent | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business statistics | Seattle, Washington | Evidence for Target-market demand | [1] |
| Estimated households during the 2020-2024 ACS period | 363,466households | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business statistics | Seattle, Washington | Evidence for Target-market demand, Territory quality | [1] |
| Owner-occupied housing-unit rate | 43.7percent of occupied housing units | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business statistics | Seattle, Washington | Evidence for Target-market demand, Property replacement-cycle demand | [1] |
| Median gross rent | 2,030usd per month | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business statistics | Seattle, Washington | Evidence for Target-market demand, Labor and staffing friction | [1] |
| Median household income in 2024 dollars | 123,860usd per year | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business statistics | Seattle, Washington | Evidence for Target-market demand, Labor and staffing friction | [1] |
| All employer firms in reference year 2022 | 21,686employer firms | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business statistics | Seattle, Washington | Evidence for Target-market demand, Referral ecosystem, Competitive environment, Sales and customer acquisition | [1] |
| Estimated jobs covered by Washington unemployment insurance in 2024 | 632,813jobs | 2024 covered-employment estimate and 2024 ACS demographic profile | Seattle, Washington | Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction | [2] |
| Rows in the active Seattle business license tax certificate dataset | 83,800active license certificates approximate | Active certificates; dataset updated July 27, 2026 | City of Seattle business-license tax jurisdiction | Evidence for Target-market demand, Competitive environment, Sales and customer acquisition, Referral ecosystem | [3] |
| Multifamily units delivered in Seattle in 2025 | 4,186multifamily units | Calendar year 2025 and projects under construction reported for 2026 | Seattle, Washington | Evidence for Target-market demand, Territory quality | [4] |
| Multifamily units delivered in Downtown Seattle in 2025 | 1,600multifamily units minimum | Calendar year 2025 and projects under construction reported for 2026 | Downtown Seattle | Evidence for Target-market demand, Territory quality | [4] |
| Multifamily units reported under construction in Downtown Seattle | 3,300multifamily units approximate | Calendar year 2025 and projects under construction reported for 2026 | Downtown Seattle | Evidence for Target-market demand, Territory quality | [4] |
| Seattle minimum wage effective January 1, 2026 | 21.3usd per hour | Rate effective January 1, 2026 | Seattle, Washington | Evidence for Labor and staffing friction, Regulatory and operating friction | [6] |
| Mean hourly wage across all occupations in the Seattle metropolitan area | seattle metro: 44.13; united states: 33.54usd per hour | May 2025 | Seattle-Tacoma-Bellevue, Washington | Evidence for Labor and staffing friction | [5] |
| Mean hourly wages for selected frontline occupational groups | building and grounds cleaning and maintenance: 24.39; food preparation and serving: 24.41; office and administrative support: 30.27; transportation and material moving: 30.82usd per hour | May 2025 | Seattle-Tacoma-Bellevue, Washington | Evidence for Labor and staffing friction | [5] |
| Mean hourly wages for trade and repair occupational groups | construction and extraction: seattle metro: 42.11, united states: 31.42; installation maintenance and repair: seattle metro: 37.8, united states: 30.44usd per hour | May 2025 | Seattle-Tacoma-Bellevue, Washington | Evidence for Labor and staffing friction, Property replacement-cycle demand | [5] |
| Mean hourly wages and employment share for selected management and technical groups | management mean hourly wage: 88.53; computer and mathematical mean hourly wage: 72.96; computer and mathematical employment share percent: 9.3; business and financial operations employment: 201,160; business and financial operations location quotient: 1.42; business and financial operations mean hourly wage: 54.3mixed labor metrics | May 2025 | Seattle-Tacoma-Bellevue, Washington | Evidence for Labor and staffing friction, Referral ecosystem, Sales and customer acquisition | [5] |
| Annual Commercial Vehicle Load Zone permit fee | 250usd per vehicle per year | Current permit rules and fees accessed July 2026 | Seattle Commercial Vehicle Load Zone program | Evidence for Transportation, routing, and parking, Regulatory and operating friction | [7] |
| Commercial Vehicle Load Zones require payment or a permit and generally limit loading to 30 minutes | maximum loading minutes: 30; payment or permit required: yesrule parameters | Current load-zone rules accessed July 2026 | Seattle business districts with paid parking | Evidence for Transportation, routing, and parking, Regulatory and operating friction, Territory quality | [9] [10] |
| Commercial Vehicle Load Zone permits issued per year | 4,000permits per year minimum | Current program description accessed July 2026 | Seattle Commercial Vehicle Load Zone program | Evidence for Transportation, routing, and parking, Territory quality | [10] |
| Vehicles over 80 inches wide may not park on streets or alleys outside industrial zones between midnight and 6 a.m. | width threshold inches: 80; restricted start time: 00:00; restricted end time: 06:00rule parameters | Current parking rules accessed July 2026 | Seattle streets and alleys outside industrial zones | Evidence for Transportation, routing, and parking, Real estate and site feasibility, Territory quality, Regulatory and operating friction | [8] |
| Annual Service Zone Permit fee for building-service trucks | 1,700usd per year | Current annual permit rules and fees accessed July 2026 | Seattle Service Zone Permit program | Evidence for Transportation, routing, and parking, Regulatory and operating friction | [11] |
| Overall vacancy rate in the Seattle industrial market | 9.4percent | Second quarter 2026 | Seattle industrial market | Evidence for Real estate and site feasibility, Territory quality | [13] |
| Puget Sound industrial vacancy, rent, absorption, and size-segment conditions | vacancy percent: 11.7; asking rent usd per sqft nnn: 1.15; net absorption sqft: -377,000; speculative deliveries sqft: 1,800,000; small bay definition sqft less than: 50,000; small bay outperformed larger formats in: Kent Valley, Tacomamixed industrial market metrics | Second quarter 2026 | Puget Sound industrial market | Evidence for Real estate and site feasibility, Territory quality | [14] |
| Downtown Seattle office vacancy in the second quarter of 2026 | 35.8percent | Second quarter 2026 | Seattle central business district | Evidence for Target-market demand, Real estate and site feasibility, Territory quality | [13] |
| Seattle suburban office vacancy in the second quarter of 2026 | 23.6percent | Second quarter 2026 | Seattle suburban office market | Evidence for Real estate and site feasibility, Territory quality | [13] |
| Unique Downtown Seattle visitors in June 2026 and recovery relative to June 2019 | unique visitors minimum: 3,200,000; percent of june 2019: 98mixed visitor metrics | June 2026 foot traffic compared with June 2019 | Downtown Seattle | Evidence for Target-market demand, Territory quality | [15] |
| Average weekday Downtown Seattle worker foot traffic in June 2026 | daily workers minimum: 147,000; percent of june 2019: 64mixed worker traffic metrics | June 2026 foot traffic compared with June 2019 | Downtown Seattle | Evidence for Target-market demand, Territory quality | [15] |
| Seattle Building Emissions Performance Standard coverage threshold | minimum individual building area sqft exclusive: 20,000; covered uses: nonresidential, multifamily; parking garage area excluded: yescoverage rule | Current law and phased deadlines accessed July 2026 | Seattle nonresidential and multifamily buildings larger than 20,000 square feet | Evidence for Regulatory and operating friction, Property replacement-cycle demand, Real estate and site feasibility | [16] [17] |
| Seattle BEPS verification, reporting, emissions-target, and net-zero schedule | benchmarking verification and ghg report: 2027-2030 depending on building size; initial emissions targets: 2031-2035; net zero target window: 2041-2050compliance timeline | Current law and phased deadlines accessed July 2026 | Seattle BEPS-covered buildings | Evidence for Regulatory and operating friction, Property replacement-cycle demand | [16] [17] |
| BEPS benchmarking verification and reporting require a qualified person with specified professional credentials or training | yesrequirement present | Current implementation guidance accessed July 2026 | Seattle BEPS-covered buildings | Evidence for Regulatory and operating friction, Labor and staffing friction, Referral ecosystem | [17] |
| Sign permit trigger and typical review timing | area threshold sqft exclusive: 5; electrical connection always triggers permit: yes; typical complete application processing time: about one weekpermit parameters | Current permit guidance accessed July 2026 | Seattle, Washington | Evidence for Regulatory and operating friction, Real estate and site feasibility | [18] |
| Seattle has eight historic districts with regulated exterior appearance and district-specific review | historic district count: 8; certificate of approval required for covered changes: yesdistrict and review parameters | Current district framework accessed July 2026 | Seattle's eight historic districts and designated landmarks | Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality | [19] [20] [18] |
| University of Washington Seattle-campus enrollment for academic year 2025-2026 | 52,316students | 2025-2026 academic year | University of Washington Seattle campus | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition, Territory quality | [21] |
| City purchasing contract and bid activity described by Seattle Purchasing and Contracting | long term blanket contracts: 1,100; one time bids per year approximate: 600procurement activity | Current procurement procedures and volumes accessed July 2026 | City of Seattle | Evidence for Target-market demand, Sales and customer acquisition, Referral ecosystem | [22] |
| City consultant and direct-purchase thresholds and roster structure | consultant roster categories: 96; consultant projects roster ceiling usd: 420,000; consultant advertising threshold usd: 71,000; small direct purchase each usd: 10,000; small direct purchase annual total usd: 71,000procurement parameters | Current procurement procedures and volumes accessed July 2026 | City of Seattle | Evidence for Sales and customer acquisition, Referral ecosystem, Target-market demand | [22] [23] |
How to use the ranking
What the model can and cannot establish
- Scores measure local operating alignment, not expected financial performance or franchise-system quality.
- Citywide evidence may not describe the exact site or territory ultimately offered.
- Conditional effects are shown for diligence but do not change the published score until their applicability is established.
Methodology
How the local-alignment ranking is calculated
Measure the city
Collect reusable local metrics with source, period, geography, and confidence fields.
Profile each operating model
Map each franchise to controlled operating attributes and local sensitivities.
Apply scoreable effects
Score only effects that apply without an unresolved site, territory, customer, or project gate.
Preserve conditional effects
Keep location- or territory-dependent issues visible for diligence without automatically changing the score.
Test rank sensitivity
Remove one factor at a time from every concept and rerank using full-precision scores.
Generate public output
Create the ranking, factor-status ledger, visuals, metric registry, and automated quality report from the same data.
Why every concept begins at 70.0
70.0 is a neutral display baseline shared by every concept. Local conditions can move a score by no more than 18.0 points in either direction under the current model. It is not a percentage, probability, or estimate of investment quality.
Precision and materiality
Calculations use full-precision values. Published scores and factor contributions display one decimal place, while ranks use full precision. Effects smaller than 0.1 points are identified as below the publication threshold rather than presented as a meaningful zero.
Score tiers
How factor rows are classified
“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page.
Model governance
How this report is calculated and corrected
Calculation controls
- Model designer
- Thomas Jepsen
No concept’s final score is manually raised or lowered after calculation. Before this template is activated, the report is reviewed for source scope, classification, arithmetic, unsupported claims, duplication, and readability.
Model history
- Model 0.9.0-calibration · August 4, 2026Added conditional scoring gates, factor-status transparency, rank-sensitivity testing, metric registry output, and factor-impact visualization data.
Corrections policy
Corrected source, geography, or operating-profile evidence triggers a full compiler rerun so every dependent score and visual is recalculated.
Source registry
Evidence represented in this report
Each source identifies its period, scope, and the local metrics it supports. Internal or supplied research is not presented as independently accessible evidence.
- 1QuickFacts: Seattle city, Washington
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Estimated households during the 2020-2024 ACS period, Owner-occupied housing-unit rate, and Median gross rent
- 2About Seattle
Used for: Estimated jobs covered by Washington unemployment insurance in 2024
- 3Active Business License Tax Certificate
Used for: Rows in the active Seattle business license tax certificate dataset
- 4Downtown Today
Used for: Multifamily units delivered in Seattle in 2025, Multifamily units delivered in Downtown Seattle in 2025, and Multifamily units reported under construction in Downtown Seattle
- 5Occupational Employment and Wages in Seattle-Tacoma-Bellevue — May 2025
Used for: Mean hourly wage across all occupations in the Seattle metropolitan area, Mean hourly wages for selected frontline occupational groups, Mean hourly wages for trade and repair occupational groups, and Mean hourly wages and employment share for selected management and technical groups
- 6Seattle Minimum Wage
Used for: Seattle minimum wage effective January 1, 2026
- 7Commercial Vehicle Load Zone Permits
Used for: Annual Commercial Vehicle Load Zone permit fee
- 8Can I Park Here?
Used for: Vehicles over 80 inches wide may not park on streets or alleys outside industrial zones between midnight and 6 a.m.
- 9Load Zones
Used for: Commercial Vehicle Load Zones require payment or a permit and generally limit loading to 30 minutes
- 10Commercial Delivery Load Zone Program / Urban Goods Delivery Strategy
Used for: Commercial Vehicle Load Zones require payment or a permit and generally limit loading to 30 minutes and Commercial Vehicle Load Zone permits issued per year
- 11Service Zone Permits
Used for: Annual Service Zone Permit fee for building-service trucks
- 12
- 13Seattle/Bellevue MarketBeat Reports
Used for: Overall vacancy rate in the Seattle industrial market, Downtown Seattle office vacancy in the second quarter of 2026, and Seattle suburban office vacancy in the second quarter of 2026
- 14Puget Sound Industrial Figures Q2 2026
Used for: Puget Sound industrial vacancy, rent, absorption, and size-segment conditions
- 15Downtown Dashboard — July 2026
Used for: Unique Downtown Seattle visitors in June 2026 and recovery relative to June 2019 and Average weekday Downtown Seattle worker foot traffic in June 2026
- 16Building Emissions Performance Standard
Used for: Seattle Building Emissions Performance Standard coverage threshold and Seattle BEPS verification, reporting, emissions-target, and net-zero schedule
- 17Seattle Building Emissions Performance Standard FAQs
Used for: Seattle Building Emissions Performance Standard coverage threshold, Seattle BEPS verification, reporting, emissions-target, and net-zero schedule, and BEPS benchmarking verification and reporting require a qualified person with specified professional credentials or training
- 18Sign, Awning, & Billboard Permit
Used for: Sign permit trigger and typical review timing and Seattle has eight historic districts with regulated exterior appearance and district-specific review
- 19Historic Districts
Used for: Seattle has eight historic districts with regulated exterior appearance and district-specific review
- 20Certificate of Approval
Used for: Seattle has eight historic districts with regulated exterior appearance and district-specific review
- 21Washington residents make up nearly three-fourths of incoming class as enrollment increases across all three UW campuses
Used for: University of Washington Seattle-campus enrollment for academic year 2025-2026
- 22Purchasing
Used for: City purchasing contract and bid activity described by Seattle Purchasing and Contracting and City consultant and direct-purchase thresholds and roster structure
- 23Consultant Contracting
Used for: City consultant and direct-purchase thresholds and roster structure
- 24
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.
