70.1 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Kansas City, Missouri
We compared 14 franchise concepts for Kansas City, Missouri.
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
1.1 points average among 10 affected concepts
0.3 points average reduction among 10 affected concepts
Tested rank range spans 11 positions
Executive conclusion
What the ranking means for Kansas City, Missouri
Our Kansas City, Missouri 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, Jan-Pro International, and FASTSIGNS produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 10 concepts and added 1.1 points on average among them. Labor and staffing friction was the broadest negative pressure, reducing the 10 exposed concepts by 0.3 points on average. The result is not that the highest-ranked brand is universally better. It means that, under the documented city assumptions and the operating profiles available to us, its local advantages outweighed its modeled constraints more effectively. Territory boundaries, candidate capabilities, capital structure, franchise economics, current FDD disclosures, and local franchisee validation remain outside this ranking and can materially change the decision.
How this differs from a directory: the model does not award points for brand popularity, advertising placement, or referral compensation. It tests how documented local conditions interact with each concept’s operating requirements.
Best franchise opportunities assessed
Top 10 local-alignment scores from 14 concepts assessed
“Best” refers to modeled local operating alignment among the concepts assessed—not expected earnings, franchise-system quality, or candidate fit.
| Rank | Franchise | Alignment and tier | Largest advantage | Largest constraint | Evidence confidence |
|---|---|---|---|---|---|
| 1 | City WideFacility management | 72.3Tier 2 · Favorable modeled alignment | +2.3 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 2 | Jan-Pro InternationalCommercial cleaning | 72.0Tier 2 · Favorable modeled alignment | +2.0 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 3 | FASTSIGNSSigns and graphics | 72.0Tier 3 · Mixed modeled alignment | +2.1 ptsTarget-market demand | -0.1 ptsLabor and staffing friction | Moderate evidence confidence |
| 4 | ActionCOACHBusiness coaching | 71.9Tier 3 · Mixed modeled alignment | +1.9 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 5 | HomeSmilesProperty maintenance services | 71.1Tier 3 · Mixed modeled alignment | +1.2 ptsTarget-market demand | -0.2 ptsLabor and staffing friction | Moderate evidence confidence |
| 6 | ZOOM DRAINDrain and sewer service | 70.4Tier 3 · Mixed modeled alignment | +0.4 ptsTarget-market demand | -0.4 ptsLabor and staffing friction | Moderate evidence confidence |
| 7 | Pillar To Post Home InspectorsHome inspection | 70.3Tier 3 · Mixed modeled alignment | +0.2 ptsTarget-market demand | -0.1 ptsLabor and staffing friction | Moderate evidence confidence |
| 8 | Mr. RooterPlumbing | 70.3Tier 3 · Mixed modeled alignment | +0.4 ptsProperty replacement-cycle demand | -0.4 ptsLabor and staffing friction | Moderate evidence confidence |
| 9 | Aire ServHVAC installation, repair, and maintenance | 70.3Tier 3 · Mixed modeled alignment | +0.4 ptsProperty replacement-cycle demand | -0.5 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | Tiger AdjustersPublic insurance adjusting | 70.2Tier 3 · Mixed modeled alignment | +0.3 ptsTarget-market demand | -0.1 ptsLabor and staffing friction | Moderate evidence confidence |
Original factor comparison
How each factor affected the highest-rated franchise concepts
The graph includes the top 14 concepts by local-alignment score. Only nonzero score contributions are plotted. A factor is removed when every displayed concept received 0.0 points from it. Hover or focus a concept name to highlight all of its remaining data points.
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Labor and staffing friction |
|---|---|---|---|
| #1 City Wide | +2.3 pts | — | — |
| #2 Jan-Pro International | +2.0 pts | — | — |
| #3 FASTSIGNS | +2.1 pts | — | -0.1 pts |
| #4 ActionCOACH | +1.9 pts | — | — |
| #5 HomeSmiles | +1.2 pts | — | -0.2 pts |
| #6 ZOOM DRAIN | +0.4 pts | +0.4 pts | -0.4 pts |
| #7 Pillar To Post Home Inspectors | +0.2 pts | +0.2 pts | -0.1 pts |
| #8 Mr. Rooter | +0.3 pts | +0.4 pts | -0.4 pts |
| #9 Aire Serv | +0.4 pts | +0.4 pts | -0.5 pts |
| #10 Tiger Adjusters | +0.3 pts | — | -0.1 pts |
| #11 Rainbow International Restoration | — | +0.3 pts | -0.2 pts |
| #12 PuroClean | — | +0.3 pts | -0.2 pts |
| #13 Workout Anytime | — | — | — |
| #14 Mister Sparky Electric | — | +0.3 pts | -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 | +2.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Measured; no meaningful local adjustment |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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
City Wide, Jan-Pro International, 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, Jan-Pro International, FASTSIGNS; their ranks move more widely when individual factors are neutralized.
Factor impact
Which local conditions changed scores or rankings?
We neutralized one factor at a time, recalculated every score, and then measured both absolute score movement and changes in rank order.
Target-market demand
We tested how much of the city’s theoretical customer and business demand remained usable after operating friction.
We applied a measurable adjustment to 10 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. FASTSIGNS moved from #3 to #12, 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, 7 concepts changed position. Mr. Rooter moved from #8 to #11, the largest movement among concepts directly affected by this factor.
Concepts helped most
Labor and staffing friction
We compared each concept’s frontline and specialist staffing requirements with the local labor environment.
We applied a measurable adjustment to 10 of 14 concepts. When we neutralized the factor and recalculated the table, 9 concepts changed position. Mister Sparky Electric moved from #14 to #11, the largest movement among concepts directly affected by this factor.
Concepts challenged most
- Competitive environmentNo material score adjustment
- Transportation, routing, and parkingNo material score adjustment
- Real estate and site feasibilityNo material score adjustment
- Sales and customer acquisitionNo material score adjustment
- Referral ecosystemNo material score adjustment
- Territory qualityNo material score adjustment
- Regulatory and operating frictionNo material score adjustment
Category comparisons
Best franchise categories we assessed in Kansas City, Missouri
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 Kansas City, Missouri
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 0.3 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 0.2 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 | +2.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Measured; no meaningful local adjustment |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.3 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?
Jan-Pro International
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.0 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Measured; no meaningful local adjustment |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 72.03 |
| Published local-market alignment | 72.0 |
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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.0 pts
- Tested rank range
- #2–#7
Most important next check
What concentration of recurring commercial accounts is required for Jan-Pro International to build an efficient local book of business?
FASTSIGNS
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +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 | Measured; no meaningful local adjustment |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 71.97 |
| Published local-market alignment | 72.0 |
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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.1 pts
- Tested rank range
- #2–#12
Most important next check
Which local customer verticals are expected to generate repeat signage and graphics work for FASTSIGNS?
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 | +1.9 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Measured; no meaningful local adjustment |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 71.87 |
| Published local-market alignment | 71.9 |
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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.9 pts
- Tested rank range
- #4–#4
Most important next check
Which business-owner segments are expected to produce the most repeatable coaching demand for ActionCOACH?
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 | +1.2 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.2 |
| Transportation, routing, and parking | Measured; no meaningful local adjustment |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 71.07 |
| Published local-market alignment | 71.1 |
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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.2 pts
- Tested rank range
- #5–#14
Most important next check
How many qualified facility and property-management accounts must be reachable for HomeSmiles to support its local contract pipeline?
ZOOM DRAIN
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.4 |
| Property replacement-cycle demand | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | Measured; no meaningful local adjustment |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 70.41 |
| 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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.4 pts
- Tested rank range
- #6–#8
Most important next check
Which territory boundaries allow ZOOM DRAIN to meet response-time expectations without excessive cross-city travel?
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 | +0.2 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.1 |
| Transportation, routing, and parking | Measured; no meaningful local adjustment |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 70.28 |
| 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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.2 pts
- Tested rank range
- #2–#9
Most important next check
Which transaction corridors and referral markets would define Pillar To Post Home Inspectors's practical inspection territory?
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 | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | Measured; no meaningful local adjustment |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 70.27 |
| 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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.4 pts
- Tested rank range
- #8–#11
Most important next check
Which ZIP codes and appointment density assumptions define Mr. Rooter'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 | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.5 |
| Transportation, routing, and parking | Measured; no meaningful local adjustment |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.5 pts
- Tested rank range
- #7–#11
Most important next check
Which ZIP codes and appointment density assumptions define Aire Serv'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 | -0.1 |
| Transportation, routing, and parking | Measured; no meaningful local adjustment |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 70.20 |
| 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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.3 pts
- Tested rank range
- #6–#13
Most important next check
Which ZIP codes and appointment density assumptions define Tiger Adjusters's practical service territory?
Rainbow International Restoration
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.2 |
| Transportation, routing, and parking | Measured; no meaningful local adjustment |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.3 pts
- Tested rank range
- #1–#12
Most important next check
Which territory boundaries allow Rainbow International Restoration to meet response-time expectations without excessive cross-city travel?
PuroClean
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.2 |
| Transportation, routing, and parking | Measured; no meaningful local adjustment |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 70.09 |
| 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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.3 pts
- Tested rank range
- #3–#13
Most important next check
Which territory boundaries allow PuroClean to meet response-time expectations without excessive cross-city travel?
Workout Anytime
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Measured; no meaningful local adjustment |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.00 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #5–#14
Most important next check
What trade-area boundary and population base would Workout Anytime use to evaluate the proposed location?
Mister Sparky Electric
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.5 |
| Transportation, routing, and parking | Measured; no meaningful local adjustment |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 69.85 |
| Published local-market alignment | 69.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.5 pts
- Tested rank range
- #10–#14
Most important next check
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Metric registry
The 27 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 | 521,220people | 2025 population estimate; 2020-2024 ACS characteristics; 2022 business and sales measures | Kansas City, Missouri | Evidence for Target-market demand, Territory quality | [4] |
| Population change from the April 2020 estimate base to July 2025 | 2.6percent | 2025 population estimate; 2020-2024 ACS characteristics; 2022 business and sales measures | Kansas City, Missouri | Evidence for Target-market demand | [4] |
| Estimated households in the 2020-2024 period | 221,979households | 2025 population estimate; 2020-2024 ACS characteristics; 2022 business and sales measures | Kansas City, Missouri | Evidence for Target-market demand, Territory quality | [4] |
| Land area in 2020 | 314.7square miles | 2025 population estimate; 2020-2024 ACS characteristics; 2022 business and sales measures | Kansas City, Missouri | Evidence for Territory quality, Transportation, routing, and parking | [4] |
| Owner-occupied housing unit rate | 55.4percent | 2025 population estimate; 2020-2024 ACS characteristics; 2022 business and sales measures | Kansas City, Missouri | Evidence for Target-market demand, Property replacement-cycle demand | [4] |
| Median household income in 2024 dollars | 69,166usd per household | 2025 population estimate; 2020-2024 ACS characteristics; 2022 business and sales measures | Kansas City, Missouri | Evidence for Target-market demand | [4] |
| Persons in poverty | 14.6percent of population | 2025 population estimate; 2020-2024 ACS characteristics; 2022 business and sales measures | Kansas City, Missouri | Evidence for Target-market demand | [4] |
| Employer firms in reference year 2022 | 8,946employer firms | 2025 population estimate; 2020-2024 ACS characteristics; 2022 business and sales measures | Kansas City, Missouri | Evidence for Target-market demand, Referral ecosystem, Competitive environment, Sales and customer acquisition | [4] |
| Selected sector receipts or revenue in 2022 | health care and social assistance: 8,624,248,000; transportation and warehousing: 2,477,521,000; accommodation and food services sales: 2,264,838,000usd | 2025 population estimate; 2020-2024 ACS characteristics; 2022 business and sales measures | Kansas City, Missouri | Evidence for Target-market demand, Referral ecosystem | [4] |
| Total retail sales in 2022 | 13,706,329,000usd | 2025 population estimate; 2020-2024 ACS characteristics; 2022 business and sales measures | Kansas City, Missouri | Evidence for Target-market demand | [4] |
| Total housing units in the 2024 ACS estimate | 246,544housing units | Calendar year 2024 American Community Survey estimates | Kansas City, Missouri | Evidence for Target-market demand, Property replacement-cycle demand, Territory quality | [5] |
| Housing units built in 1969 or earlier | housing units: 126,737; share: 51.4housing units and percent | Calendar year 2024 American Community Survey estimates | Kansas City, Missouri | Evidence for Property replacement-cycle demand, Labor and staffing friction | [5] |
| Housing units built in 1959 or earlier | housing units: 96,153; share: 39housing units and percent | Calendar year 2024 American Community Survey estimates | Kansas City, Missouri | Evidence for Property replacement-cycle demand, Labor and staffing friction | [5] |
| Mean travel time to work for workers age 16 and older | 21.7minutes | 2025 population estimate; 2020-2024 ACS characteristics; 2022 business and sales measures | Kansas City, Missouri | Evidence for Transportation, routing, and parking, Territory quality | [4] |
| Mean hourly wage for all occupations in May 2024 | kansas city metro: 30.78; united states: 32.66usd per hour | May 2024 Occupational Employment and Wage Statistics | Kansas City, MO-KS Metropolitan Statistical Area | Evidence for Labor and staffing friction | [6] |
| Mean hourly wages for selected lower-paid major occupational groups in May 2024 | food preparation and serving related: 16.41; personal care and service: 17.67; healthcare support: 18.76usd per hour | May 2024 Occupational Employment and Wage Statistics | Kansas City, MO-KS Metropolitan Statistical Area | Evidence for Labor and staffing friction | [6] |
| Missouri minimum wage effective in 2026 for covered employers | 15usd per hour | Rate effective January 1 through December 31, 2026 | Missouri | Evidence for Labor and staffing friction, Regulatory and operating friction | [7] |
| Kansas City office market conditions in Q2 2026 | overall vacancy rate: 17.1; quarterly net absorption sqft: 57,000; year over year vacancy change percentage points: -1; overall asking rent usd per sqft per year: 23.69; suburban net absorption sqft: 73,000mixed market metrics | Second quarter 2026 | Kansas City office market | Evidence for Real estate and site feasibility, Target-market demand, Territory quality | [8] |
| Kansas City industrial market conditions in Q2 2026 | overall vacancy rate: 4.5; quarterly net absorption sqft: 1,700,000; deliveries sqft: 1,400,000; overall asking rent usd per sqft per year: 5.43mixed market metrics | Second quarter 2026 | Kansas City industrial market | Evidence for Real estate and site feasibility, Territory quality | [9] |
| Annual energy and water benchmarking requirement for covered nonmunicipal buildings | minimum individual building size sqft: 50,000; covered types: institutional, commercial, industrial, multifamily; annual due date: May 1; reporting period: previous calendar yearregulatory conditions | Current compliance rules accessed August 2026; annual reporting of prior calendar-year data | Kansas City, Missouri | Evidence for Regulatory and operating friction, Real estate and site feasibility | [10] |
| Energy audits and retrofits are not required by the benchmarking ordinance | nomandatory audit or retrofit | Current FAQ accessed August 2026 | Kansas City, Missouri | Evidence for Regulatory and operating friction, Property replacement-cycle demand | [11] |
| Arterial Street Impact Fee applies to new residential and commercial development | nonresidential measure: gross floor area per 1,000 square feet; fee basis: land-use-specific unit cost with published 50 percent discounted fee; purpose: additional roadway capacity serving new developmentregulatory formula | Current Chapter 39 guidance accessed August 2026 | Kansas City, Missouri | Evidence for Regulatory and operating friction, Real estate and site feasibility | [12] [2] |
| Exterior changes visible from the public right-of-way at locally listed historic properties require historic review | review body: Historic Preservation Commission; required approval: Certificate of Appropriateness; building permit dependency: yesregulatory conditions | Current historic review guidance accessed August 2026 | Kansas City Register landmarks and local historic districts | Evidence for Regulatory and operating friction, Real estate and site feasibility | [13] [14] |
| Properties in FEMA special flood hazard areas may require an additional permit and review process | property lookup: KCMO Parcel Viewer floodplain layer; covered project context: new construction, substantial improvement, flood damage repairregulatory conditions | Current floodplain mapping and permit guidance accessed August 2026 | FEMA special flood hazard areas in Kansas City, Missouri | Evidence for Regulatory and operating friction, Real estate and site feasibility, Property replacement-cycle demand | [15] [16] |
| Covered floodplain development must elevate service equipment above base flood elevation | minimum elevation above base flood feet: 1; equipment examples: electrical, heating, ventilation, plumbing, air conditioning; project status: new construction, substantial improvementfeet and conditions | Rules passed February 26, 2026 | A, AE, AO, and AH flood zones in Kansas City, Missouri | Evidence for Regulatory and operating friction, Real estate and site feasibility, Property replacement-cycle demand | [16] |
| Kansas City procures construction and non-construction goods and services through public bidding and RFP/RFQ processes | supplier registration required: yes; solicitation systems: Bonfire, Online Contract Advertising System, KCMO Plan Room; opportunity examples: landscaping, facility repair, maintenance, roadwork, drainage, water main replacementprocurement conditions | Current procurement workflow accessed August 2026 | City of Kansas City, Missouri | Evidence for Referral ecosystem, Target-market demand, Sales and customer acquisition | [17] |
| Documented 2026 stadium-area World Cup road and neighborhood-access restrictions were time-limited and have ended | match dates end: 2026-07-11; continuous lewis road closure end: 2026-07-12; status on research date: historical contextdates and status | Temporary FIFA World Cup match-day restrictions ending July 12, 2026 | Kansas City stadium area | Evidence for Transportation, routing, and parking, Territory quality | [18] |
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.
How the common baseline becomes a city-specific score
Every concept starts from the same 70.0 reference point, so differences come only from modeled local interactions. The current model caps total local movement at ±18.0 points. The score is not a percentage, probability, or estimate of investment quality.
Precision and materiality
Calculations use full-precision values. Published scores and factor contributions display one decimal place, while ranks use full precision. Effects smaller than 0.1 points are identified as below the publication threshold rather than presented as a meaningful zero.
Score tiers
How factor rows are classified
“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page.
Model governance
How this report is calculated and corrected
Calculation controls
- Model designer
- Thomas Jepsen
No concept’s final score is manually raised or lowered after calculation. Before this template is activated, the report is reviewed for source scope, classification, arithmetic, unsupported claims, duplication, and readability.
Model history
- Model 0.9.0-calibration · August 4, 2026Added conditional scoring gates, factor-status transparency, rank-sensitivity testing, metric registry output, and factor-impact visualization data.
Corrections policy
Corrected source, geography, or operating-profile evidence triggers a full compiler rerun so every dependent score and visual is recalculated.
Source registry
Evidence represented in this report
Each source identifies its period, scope, and the local metrics it supports. Internal or supplied research is not presented as independently accessible evidence.
- 1United States Structural Inefficiency and CRE Arbitrage AuditInternal or supplied research; not publicly accessible.
- 2Jurisdictional Friction and Structural Capital Constraints: A Forensic Audit of Municipal Operating EnvironmentsInternal or supplied research; not publicly accessible.
Used for: Arterial Street Impact Fee applies to new residential and commercial development
- 3Franchise neighborhood operating evidence tableInternal or supplied research; not publicly accessible.
- 4QuickFacts: Kansas City city, Missouri
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Estimated households in the 2020-2024 period, Land area in 2020, and Owner-occupied housing unit rate
- 5Selected Housing Characteristics, ACS 1-Year Estimates, Table DP04
Used for: Total housing units in the 2024 ACS estimate, Housing units built in 1969 or earlier, and Housing units built in 1959 or earlier
- 6Occupational Employment and Wages in Kansas City — May 2024
Used for: Mean hourly wage for all occupations in May 2024 and Mean hourly wages for selected lower-paid major occupational groups in May 2024
- 7Minimum Wage
Used for: Missouri minimum wage effective in 2026 for covered employers
- 8Kansas City Office Figures Q2 2026
Used for: Kansas City office market conditions in Q2 2026
- 9Kansas City Industrial Figures Q2 2026
Used for: Kansas City industrial market conditions in Q2 2026
- 10Energy Benchmarking Compliance Home
Used for: Annual energy and water benchmarking requirement for covered nonmunicipal buildings
- 11Benchmarking FAQ
Used for: Energy audits and retrofits are not required by the benchmarking ordinance
- 12Major Infrastructure - Plan Review: Arterial Street Impact Fees and Credits
Used for: Arterial Street Impact Fee applies to new residential and commercial development
- 13Historic Preservation Office
Used for: Exterior changes visible from the public right-of-way at locally listed historic properties require historic review
- 14Historic Design Review
Used for: Exterior changes visible from the public right-of-way at locally listed historic properties require historic review
- 15Floodplains and Flood Recovery
Used for: Properties in FEMA special flood hazard areas may require an additional permit and review process
- 16Ordinance 260196: Floodplain Management Amendments
Used for: Properties in FEMA special flood hazard areas may require an additional permit and review process and Covered floodplain development must elevate service equipment above base flood elevation
- 17Procurement
Used for: Kansas City procures construction and non-construction goods and services through public bidding and RFP/RFQ processes
- 18Road Closures & Detours
Used for: Documented 2026 stadium-area World Cup road and neighborhood-access restrictions were time-limited and have ended
- 19
- 20
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
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The city score does not include your experience, capital structure, time commitment, financing, or exact territory.
