70.6 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in St. Louis, Missouri
We compared 14 franchise concepts for St. Louis, 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
0.7 points average among 11 affected concepts
0.3 points average reduction among 10 affected concepts
Tested rank range spans 7 positions
Executive conclusion
What the ranking means for St. Louis, Missouri
Our St. Louis, 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 ActionCOACH produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 11 concepts and added 0.7 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 | 72.5Tier 2 · Favorable modeled alignment | +1.9 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 2 | Jan-Pro InternationalCommercial cleaning | 71.7Tier 3 · Mixed modeled alignment | +1.6 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 3 | ActionCOACHBusiness coaching | 71.6Tier 3 · Mixed modeled alignment | +1.1 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 4 | FASTSIGNSSigns and graphics | 71.5Tier 3 · Mixed modeled alignment | +1.4 ptsTarget-market demand | -0.1 ptsLabor and staffing friction | Moderate evidence confidence |
| 5 | HomeSmilesProperty maintenance services | 71.2Tier 3 · Mixed modeled alignment | +0.9 ptsTarget-market demand | -0.2 ptsLabor and staffing friction | Moderate evidence confidence |
| 6 | Rainbow International RestorationRestoration | 70.6Tier 3 · Mixed modeled alignment | +0.4 ptsReferral ecosystem | -0.2 ptsLabor and staffing friction | Moderate evidence confidence |
| 7 | Pillar To Post Home InspectorsHome inspection | 70.5Tier 3 · Mixed modeled alignment | +0.3 ptsReferral ecosystem | -0.1 ptsLabor and staffing friction | Moderate evidence confidence |
| 8 | ZOOM DRAINDrain and sewer service | 70.5Tier 3 · Mixed modeled alignment | +0.4 ptsProperty replacement-cycle demand | -0.5 ptsLabor and staffing friction | Moderate evidence confidence |
| 9 | PuroCleanRestoration | 70.5Tier 3 · Mixed modeled alignment | +0.4 ptsReferral ecosystem | -0.2 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | Tiger AdjustersPublic insurance adjusting | 70.4Tier 3 · Mixed modeled alignment | +0.3 ptsReferral ecosystem | -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 | Referral ecosystem |
|---|---|---|---|---|
| #1 City Wide | +1.9 pts | — | — | +0.6 pts |
| #2 Jan-Pro International | +1.6 pts | — | — | +0.2 pts |
| #3 ActionCOACH | +1.1 pts | — | — | +0.5 pts |
| #4 FASTSIGNS | +1.4 pts | — | -0.1 pts | +0.3 pts |
| #5 HomeSmiles | +0.9 pts | — | -0.2 pts | +0.5 pts |
| #6 Rainbow International Restoration | +0.1 pts | +0.3 pts | -0.2 pts | +0.4 pts |
| #7 Pillar To Post Home Inspectors | +0.1 pts | +0.2 pts | -0.1 pts | +0.3 pts |
| #8 ZOOM DRAIN | +0.2 pts | +0.4 pts | -0.5 pts | +0.3 pts |
| #9 PuroClean | — | +0.3 pts | -0.2 pts | +0.4 pts |
| #10 Tiger Adjusters | +0.1 pts | — | -0.1 pts | +0.3 pts |
| #11 Mr. Rooter | +0.2 pts | +0.4 pts | -0.5 pts | +0.1 pts |
| #12 Aire Serv | +0.2 pts | +0.4 pts | -0.5 pts | — |
| #13 Workout Anytime | — | — | — | — |
| #14 Mister Sparky Electric | — | +0.4 pts | -0.6 pts | +0.1 pts |
Rank stability
Which positions depend most on individual assumptions?
The line shows the best and worst rank reached when one factor was removed from every concept. A narrow range indicates a more stable position.
Neutralizing a factor removes it from every concept. A concept can move down even when its own score improves because competitors may benefit more.
Worked score example
How we calculated City Wide
This example uses the same ledger shown for every concept and must reconcile exactly to the published score.
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.9 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.6 |
| 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 | 72.51 |
| Published local-market alignment | 72.5 |
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, ActionCOACH led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to labor and staffing friction. The same city condition can help one operating model and constrain another, so score differences should be read through each concept's factor pattern rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for Jan-Pro International, FASTSIGNS, Rainbow International Restoration; their ranks move more widely when individual factors are neutralized.
Factor impact
Which local conditions changed scores or rankings?
We neutralized one factor at a time, recalculated every score, and then measured both absolute score movement and changes in rank order.
Target-market demand
We tested how much of the city’s theoretical customer and business demand remained usable after operating friction.
We applied a measurable adjustment to 11 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. Jan-Pro International moved from #2 to #9, the largest movement among concepts directly affected by this factor.
Concepts helped most
Property replacement-cycle demand
We compared the age and condition of relevant property systems with the services each concept is actually equipped to provide.
We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 6 concepts changed position. Rainbow International Restoration moved from #6 to #8, the largest movement among concepts directly affected by this factor.
Concepts helped most
Labor and staffing friction
We compared each concept’s frontline and specialist staffing requirements with the local labor environment.
We applied a measurable adjustment to 10 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. Pillar To Post Home Inspectors moved from #7 to #11, the largest movement among concepts directly affected by this factor.
Concepts challenged most
Referral ecosystem
We tested whether the local professional and institutional referral ecosystem materially separated the assessed concepts.
We applied a measurable adjustment to 12 of 14 concepts. When we neutralized the factor and recalculated the table, 5 concepts changed position. PuroClean moved from #9 to #11, the largest movement among concepts directly affected by this factor.
Concepts helped most
- Competitive environmentNo material score adjustment
- Transportation, routing, and parkingNo material score adjustment
- Real estate and site feasibilityNo material score adjustment
- Sales and customer acquisitionNo material score adjustment
- Territory qualityNo material score adjustment
- Regulatory and operating frictionNo material score adjustment
Category comparisons
Best franchise categories we assessed in St. Louis, 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 St. Louis, Missouri
2 Restoration concepts qualified for comparison, with scores ranging from 70.5 to 70.6. Rainbow International Restoration ranked highest at 70.6. Referral ecosystem added 0.4 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 0.2 points on average.
Interpret cautiously: A 0.1-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 70.5–70.6
- Category average
- 70.6
Compare all assessed concepts
Explore the complete score calculations
14 concepts shown. Expand a concept to see how each factor was treated and the single next check most capable of changing the result.
City Wide
Rank sensitivity: Stable
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.9 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.6 |
| 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 | 72.51 |
| Published local-market alignment | 72.5 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.9 pts
- Tested rank range
- #1–#1
Most important next check
How many qualified facility and property-management accounts must be reachable for City Wide to support its local contract pipeline?
Jan-Pro International
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.6 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.1 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.71 |
| Published local-market alignment | 71.7 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.6 pts
- Tested rank range
- #2–#9
Most important next check
What concentration of recurring commercial accounts is required for Jan-Pro International to build an efficient local book of business?
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 | +1.1 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.5 |
| 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 | 71.58 |
| Published local-market alignment | 71.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.1 pts
- Tested rank range
- #3–#4
Most important next check
Which business-owner segments are expected to produce the most repeatable coaching demand for ActionCOACH?
FASTSIGNS
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.4 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.1 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.3 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.48 |
| Published local-market alignment | 71.5 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.4 pts
- Tested rank range
- #3–#10
Most important next check
Which local customer verticals are expected to generate repeat signage and graphics work for FASTSIGNS?
HomeSmiles
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.9 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.2 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | 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 | 71.19 |
| Published local-market alignment | 71.2 |
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
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.9 pts
- Tested rank range
- #5–#7
Most important next check
How many qualified facility and property-management accounts must be reachable for HomeSmiles to support its local contract pipeline?
Rainbow International Restoration
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.1 |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.2 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.63 |
| Published local-market alignment | 70.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.4 pts
- Tested rank range
- #2–#8
Most important next check
Which territory boundaries allow Rainbow International Restoration 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 | +0.1 |
| Property replacement-cycle demand | +0.2 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.1 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.3 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.54 |
| Published local-market alignment | 70.5 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.3 pts
- Tested rank range
- #5–#10
Most important next check
Which transaction corridors and referral markets would define Pillar To Post Home Inspectors's practical inspection territory?
ZOOM DRAIN
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.2 |
| Property replacement-cycle demand | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.5 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.3 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.53 |
| Published local-market alignment | 70.5 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.5 pts
- Tested rank range
- #6–#10
Most important next check
Which territory boundaries allow ZOOM DRAIN 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 | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.53 |
| Published local-market alignment | 70.5 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.4 pts
- Tested rank range
- #3–#9
Most important next check
Which territory boundaries allow PuroClean to meet response-time expectations without excessive cross-city travel?
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 | +0.1 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.1 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.3 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.38 |
| Published local-market alignment | 70.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +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?
Mr. Rooter
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.2 |
| Property replacement-cycle demand | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.5 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.1 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.24 |
| 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
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.5 pts
- Tested rank range
- #8–#12
Most important next check
Which ZIP codes and appointment density assumptions define Mr. Rooter's practical service territory?
Aire Serv
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 | +0.2 |
| Property replacement-cycle demand | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.5 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | Not applicable to this operating model |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.06 |
| 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
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.5 pts
- Tested rank range
- #11–#14
Most important next check
Which ZIP codes and appointment density assumptions define Aire Serv's practical service territory?
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 | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | Not applicable to this operating model |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.00 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #11–#14
Most important next check
What trade-area boundary and population base would Workout Anytime use to evaluate the proposed location?
Mister Sparky Electric
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.1 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.92 |
| Published local-market alignment | 69.9 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.6 pts
- Tested rank range
- #12–#14
Most important next check
Which ZIP codes and appointment density assumptions define Mister Sparky Electric's practical service territory?
No franchise concepts match the selected filters.
Metric registry
The 35 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 | 278,144people | July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic census metrics | St | Evidence for Target-market demand, Territory quality | [4] |
| Population change from the April 2020 estimate base to July 2025 | -7.7percent | July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic census metrics | St | Evidence for Target-market demand | [4] |
| Population density in 2020 | 4,885people per square mile | July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic census metrics | St | Evidence for Target-market demand, Territory quality | [4] |
| Households in the 2020-2024 QuickFacts period | 144,891households | July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic census metrics | St | Evidence for Target-market demand | [4] |
| Housing units in the 2024 ACS 1-year profile | 174,694housing units | 2024 American Community Survey 1-year estimates | St | Evidence for Target-market demand, Property replacement-cycle demand, Territory quality | [5] |
| Occupied and vacant housing units in the 2020 Census | total housing units: 173,479; occupied housing units: 144,870; vacant housing units: 28,609housing units | 2020 Decennial Census | St | Evidence for Target-market demand, Property replacement-cycle demand, Territory quality | [6] |
| Housing units built before 1940 in a Census-derived city summary | 57.7percent of housing units | Census-derived city statistics; underlying ACS vintage not stated on page | St | Evidence for Property replacement-cycle demand, Labor and staffing friction, Regulatory and operating friction | [7] |
| Housing units built after 2000 in a Census-derived city summary | 6.3percent of housing units | Census-derived city statistics; underlying ACS vintage not stated on page | St | Evidence for Property replacement-cycle demand | [7] |
| Neighborhoods with a median housing age of at least 100 years | relationship: majority of neighborhoods; median housing age threshold: 100years and share category | City building-age data available in 2019 | City of St | Evidence for Property replacement-cycle demand, Labor and staffing friction, Regulatory and operating friction | [8] |
| Moisture and freeze-thaw cycles can spall historic brick and deteriorate mortar joints, while incompatible repointing can damage masonry | materials: historic brick, mortar joints; mechanisms: moisture entry, freeze thaw expansion, spalling, mortar deterioration, incompatible repointing damagedescriptive | Historic-masonry preservation guidance current when accessed | Historic brick masonry applicable to St | Evidence for Property replacement-cycle demand, Labor and staffing friction | [9] [10] [11] |
| Total retail sales in 2022 | 3,354,635,000usd | July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic census metrics | St | Evidence for Target-market demand, Sales and customer acquisition | [4] |
| Health care and social assistance receipts or revenue in 2022 | 6,194,135,000usd | July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic census metrics | St | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition | [4] |
| Accommodation and food services sales in 2022 | 1,538,276,000usd | July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic census metrics | St | Evidence for Target-market demand | [4] |
| Washington University employees reported for the St. Louis regional impact report | 23,434employees | Fiscal year 2025 regional impact | St | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition, Labor and staffing friction | [13] |
| Washington University direct regional spending | 4,100,000,000usd | Fiscal year 2025 regional impact | St | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition | [13] |
| BJC Health aggregate system scale | hospitals: 24; employees: 48,162; physicians: 6,077; staffed beds: 4,535system totals | 2025 aggregate system data unless otherwise indicated | BJC Health across Missouri, southern Illinois, eastern Kansas, and the Midwest | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition, Labor and staffing friction | [12] |
| BJC Medical Group physician and location network | doctors and specialists minimum: 600; locations minimum: 145network totals | 2025 aggregate system data unless otherwise indicated | Greater St | Evidence for Target-market demand, Referral ecosystem, Territory quality | [12] |
| Selected frontline and administrative mean hourly wages compared with national averages | food preparation and serving: st louis: 16.57, united states: 17.32; building and grounds: st louis: 18.45, united states: 19.01; sales: st louis: 24.16, united states: 26; office and administrative: st louis: 23.62, united states: 24.12; transportation and material moving: st louis: 22.15, united states: 23.44usd per hour | May 2024 | St | Evidence for Labor and staffing friction | [14] |
| Construction and maintenance mean hourly wages compared with national averages | construction and extraction: st louis: 34.11, united states: 30.73; installation maintenance and repair: st louis: 29.69, united states: 29.63usd per hour | May 2024 | St | Evidence for Labor and staffing friction, Property replacement-cycle demand | [14] |
| Overall office vacancy in Q2 2026 | 18.4percent | Q2 2026 | St | Evidence for Real estate and site feasibility, Target-market demand | [15] |
| Overall retail vacancy in Q2 2026 | 6.1percent | Q2 2026 | St | Evidence for Real estate and site feasibility, Target-market demand | [15] |
| Published overall industrial vacancy estimates differed by provider in Q2 2026 | cushman wakefield: 5.1; cbre: 7.1percent | Q2 2026 | St | Evidence for Real estate and site feasibility | [15] [16] |
| Industrial vacancy growth was linked to large-user rightsizing and migration toward modern bulk facilities | vacancy percent cbre: 7.1; average asking rent nnn: 5.46; leasing sqft: 1,610,000; speculative assets under construction: 1mixed | Q2 2026 | St | Evidence for Real estate and site feasibility, Territory quality | [16] |
| Downtown office vacancy was concentrated in a limited set of buildings in the Brookings study | buildings more than 25 percent vacant: 25; two fully vacant buildings sqft approximate: 2,700,000; share of downtown vacant space in two buildings approximate: 50mixed | Downtown office conditions and conversion analysis through the study period | Downtown St | Evidence for Target-market demand, Real estate and site feasibility, Territory quality | [17] |
| Local historic districts and certified local historic districts | local historic districts: 18; certified local historic districts: 8districts | Current district list accessed August 2026 | St | Evidence for Regulatory and operating friction, Territory quality | [18] |
| Exterior changes in local historic districts are generally reviewed under district-specific standards, and larger projects may require Preservation Board review | yesrule present | Current district list accessed August 2026 | City of St | Evidence for Regulatory and operating friction, Real estate and site feasibility | [18] [19] |
| Compliant Cultural Resources Office applications may be approved within a few days, while noncompliant or incomplete applications take longer | compliant path: few days; extended path triggers: noncompliance, additional information required, larger project reviewdescriptive | Current process accessed August 2026 | City landmarks and City Historic Districts | Evidence for Regulatory and operating friction, Real estate and site feasibility | [19] |
| City zoning includes Form-Based, Planned Unit Development, Signage Plan, and Special Use overlay mechanisms | overlay types: form based district, planned unit development, signage plan overlay, special use districtoverlay types | Current overlay types accessed August 2026 | St | Evidence for Regulatory and operating friction, Territory quality | [20] |
| Commercial occupancy and building permits are reviewed for compliance with Title 26 zoning | yesrule present | Current process accessed August 2026 | St | Evidence for Regulatory and operating friction, Real estate and site feasibility | [21] |
| Sign controls vary by zoning district and apply to multiple forms of visible commercial messaging | regulated examples: window stickers or paint, wall murals, banners, canopy textregulated sign types | Current sign-regulation guidance accessed August 2026 | St | Evidence for Regulatory and operating friction | [22] |
| Businesses may apply for an annually renewed commercial loading zone in front of the business | permit required: yes; renewal frequency: annualpermit rule | Current permit process accessed August 2026 | St | Evidence for Transportation, routing, and parking, Real estate and site feasibility | [23] |
| The City of St. Louis is independent of any county and performs functions commonly handled by county government | yesindependent city status | Current government structure accessed August 2026 | St | Evidence for Territory quality, Regulatory and operating friction | [24] |
| A 2026 policy brief reported 81 municipalities in St. Louis County in addition to the separate City of St. Louis | 81municipalities | Published in 2026; municipal count reported for St. Louis County | St | Evidence for Territory quality, Transportation, routing, and parking, Regulatory and operating friction | [25] |
| City quote and bid submission requires portal registration that can take up to seven days, plus current business-license and tax status | registration time maximum days: 7; business license required: yes; city payroll and sales tax current required: yesprocess requirements | Current procurement process accessed August 2026 | City of St | Evidence for Sales and customer acquisition, Referral ecosystem | [26] [27] |
| Washington University procurement guidance calls for vendor research, preferred-supplier review, multiple bids, and supervisor review | vendor research: yes; preferred supplier review: yes; multiple bids: yes; supervisor review: yesprocess requirements | Current policy accessed August 2026 | Washington University in St | Evidence for Sales and customer acquisition, Referral ecosystem | [28] |
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.
- 1The Utility Delta: A Structural Audit of Ten U.S. MarketsInternal or supplied research; not publicly accessible.
- 2Structural Constraints and Hidden Costs: A Forensic Municipal AuditInternal or supplied research; not publicly accessible.
- 3Franchise data - 2 - riverside through charlotteInternal or supplied research; not publicly accessible.
- 4QuickFacts: St. Louis city, Missouri
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Population density in 2020, Households in the 2020-2024 QuickFacts period, and Total retail sales in 2022
- 5St. Louis city, MO - Profile data
Used for: Housing units in the 2024 ACS 1-year profile
- 6Census Data: City of St. Louis
Used for: Occupied and vacant housing units in the 2020 Census
- 7St. Louis, Missouri Population History and Housing Statistics
Used for: Housing units built before 1940 in a Census-derived city summary and Housing units built after 2000 in a Census-derived city summary
- 8Median age of housing in St. Louis by neighborhood
Used for: Neighborhoods with a median housing age of at least 100 years
- 9Common Problems with Brick Masonry
Used for: Moisture and freeze-thaw cycles can spall historic brick and deteriorate mortar joints, while incompatible repointing can damage masonry
- 10Preservation Brief 2: Repointing Mortar Joints in Historic Masonry Buildings
Used for: Moisture and freeze-thaw cycles can spall historic brick and deteriorate mortar joints, while incompatible repointing can damage masonry
- 11A Glossary of Historic Masonry Deterioration Problems and Preservation Treatments
Used for: Moisture and freeze-thaw cycles can spall historic brick and deteriorate mortar joints, while incompatible repointing can damage masonry
- 12Facts & Figures
Used for: BJC Health aggregate system scale and BJC Medical Group physician and location network
- 13Our Impact on the St. Louis Region
Used for: Washington University employees reported for the St. Louis regional impact report and Washington University direct regional spending
- 14Occupational Employment and Wages in St. Louis — May 2024
Used for: Selected frontline and administrative mean hourly wages compared with national averages and Construction and maintenance mean hourly wages compared with national averages
- 15St. Louis MarketBeat Reports Q2 2026
Used for: Overall office vacancy in Q2 2026, Overall retail vacancy in Q2 2026, and Published overall industrial vacancy estimates differed by provider in Q2 2026
- 16St. Louis Industrial Figures Q2 2026
Used for: Published overall industrial vacancy estimates differed by provider in Q2 2026 and Industrial vacancy growth was linked to large-user rightsizing and migration toward modern bulk facilities
- 17Reversing an urban doom loop in St. Louis through office-to-residential conversion
Used for: Downtown office vacancy was concentrated in a limited set of buildings in the Brookings study
- 18City Historic Districts
Used for: Local historic districts and certified local historic districts and Exterior changes in local historic districts are generally reviewed under district-specific standards, and larger projects may require Preservation Board review
- 19CRO Applications and Permits
Used for: Exterior changes in local historic districts are generally reviewed under district-specific standards, and larger projects may require Preservation Board review and Compliant Cultural Resources Office applications may be approved within a few days, while noncompliant or incomplete applications take longer
- 20Zoning Overlay Districts
Used for: City zoning includes Form-Based, Planned Unit Development, Signage Plan, and Special Use overlay mechanisms
- 21Zoning Section
Used for: Commercial occupancy and building permits are reviewed for compliance with Title 26 zoning
- 22Answers to Common Zoning Questions
Used for: Sign controls vary by zoning district and apply to multiple forms of visible commercial messaging
- 23Apply for or Renew a Commercial Loading Zone Permit
Used for: Businesses may apply for an annually renewed commercial loading zone in front of the business
- 24City Government Structure
Used for: The City of St. Louis is independent of any county and performs functions commonly handled by county government
- 25Merging City and County: A Solution to St. Louis’s Structural Fragmentation
Used for: A 2026 policy brief reported 81 municipalities in St. Louis County in addition to the separate City of St. Louis
- 26List of Active City RFPs, RFQs, and RFIs
Used for: City quote and bid submission requires portal registration that can take up to seven days, plus current business-license and tax status
- 27Register to Submit Quotes and Bids Online
Used for: City quote and bid submission requires portal registration that can take up to seven days, plus current business-license and tax status
- 28Procurement Policy
Used for: Washington University procurement guidance calls for vendor research, preferred-supplier review, multiple bids, and supervisor review
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.
