Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in St. Louis, Missouri

We compared 14 franchise concepts for St. Louis, Missouri.

What “best” means in this ranking“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page. It does not estimate earnings or determine which franchise is best for a particular candidate.

Analysis by Thomas Jepsen, MSc Model: 0.9.0

View the ranking Read the methodology

14Concepts evaluated

28Sources used

15Primary sources

35Local metrics

Evaluation set

Why these concepts were evaluated

This is not a ranking of every franchise that may be offered in the city.

14Concepts assessed

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

Highest category average (limited comparison)Restoration

70.6 average across 2 concepts

Largest positive factorTarget-market demand

0.7 points average among 11 affected concepts

Largest negative factorLabor and staffing friction

0.3 points average reduction among 10 affected concepts

Most assumption-sensitive rankJan-Pro International

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.

Rankings use full-precision scores.Displayed values use one decimal place. Identical displayed scores can therefore have different ranks, and close results should be treated as effectively similar.

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

View all 14 score calculations

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.

Highlight concept

Primary source records by factorTarget-market demand: ^[4] ^[5] ^[13] ^[12] ^[15] ^[17] ^[1] ^[3]Property replacement-cycle demand: ^[5] ^[6] ^[7] ^[8] ^[9] ^[10] ^[11] ^[1]Competitive environment: ^[4] ^[15] ^[3]Labor and staffing friction: ^[14] ^[12] ^[9] ^[10] ^[2] ^[1]Transportation, routing, and parking: ^[23] ^[20] ^[24] ^[25] ^[3]Real estate and site feasibility: ^[15] ^[16] ^[17] ^[21] ^[19] ^[1] ^[3]Sales and customer acquisition: ^[13] ^[12] ^[26] ^[27] ^[28] ^[4]Referral ecosystem: ^[13] ^[12] ^[26] ^[28]Territory quality: ^[24] ^[25] ^[15] ^[16] ^[17] ^[3]Regulatory and operating friction: ^[18] ^[19] ^[20] ^[21] ^[22] ^[23] ^[24] ^[2] ^[3]

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.

#1 City WideStable · tested #1–#1

#2 Jan-Pro InternationalHighly sensitive · tested #2–#9

#3 ActionCOACHStable · tested #3–#4

#4 FASTSIGNSHighly sensitive · tested #3–#10

#5 HomeSmilesModerately sensitive · tested #5–#7

#6 Rainbow International RestorationHighly sensitive · tested #2–#8

#7 Pillar To Post Home InspectorsHighly sensitive · tested #5–#10

#8 ZOOM DRAINHighly sensitive · tested #6–#10

#9 PuroCleanHighly sensitive · tested #3–#9

#10 Tiger AdjustersHighly sensitive · tested #6–#13

#11 Mr. RooterHighly sensitive · tested #8–#12

#12 Aire ServModerately sensitive · tested #11–#14

#13 Workout AnytimeModerately sensitive · tested #11–#14

#14 Mister Sparky ElectricModerately sensitive · tested #12–#14

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.

Starting pointThe operating-model baseline shown in the first ledger row.

InteractionsAny interaction or gate is included in the relevant contribution or calibration row.

Confidence treatmentEvidence confidence is disclosed separately unless the model definition explicitly applies a calibration adjustment.

RoundingFull-precision contributions are summed before the final displayed score is rounded to one decimal place; whole-number results are shown without a trailing decimal.

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.

Observed model effectPositive local support

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 adjusted11 of 14

Average among affected+0.7 pts

Average across all concepts+0.6 pts

Concepts changing rank11

Concepts helped most

City WideFacility management

+1.9 pts

Jan-Pro InternationalCommercial cleaning

+1.6 pts

FASTSIGNSSigns and graphics

+1.4 pts

ActionCOACHBusiness coaching

+1.1 pts

HomeSmilesProperty maintenance services

+0.9 pts

Measured but not differentiating in this concept set

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.

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

Rainbow International Restoration70.6

PuroClean70.5

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.

SearchCategoryLargest impactSort

#1Tier 2 · Favorable modeled alignment72.5

City Wide

Facility management · B2B facility management and vendor coordination

Increase +1.9 pts Target-market demandNo material negative local adjustment identified

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?

#2Tier 3 · Mixed modeled alignment71.7

Jan-Pro International

Commercial cleaning · recurring commercial route service

Increase +1.6 pts Target-market demandNo material negative local adjustment identified

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?

#3Tier 3 · Mixed modeled alignment71.6

ActionCOACH

Business coaching · home-based B2B advisory

Increase +1.1 pts Target-market demandNo material negative local adjustment identified

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?

#4Tier 3 · Mixed modeled alignment71.5

FASTSIGNS

Signs and graphics · B2B production and installation center

Increase +1.4 pts Target-market demandReduction -0.1 pts Labor and staffing friction

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?

#5Tier 3 · Mixed modeled alignment71.2

HomeSmiles

Property maintenance services · Home-based mobile property-maintenance franchise using equipped service vans and technician crews to deliver bundled…

Increase +0.9 pts Target-market demandReduction -0.2 pts Labor and staffing friction

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?

#6Tier 3 · Mixed modeled alignment70.6

Rainbow International Restoration

Restoration · emergency property restoration

Increase +0.4 pts Referral ecosystemReduction -0.2 pts Labor and staffing friction

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?

#7Tier 3 · Mixed modeled alignment70.5

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Increase +0.3 pts Referral ecosystemReduction -0.1 pts Labor and staffing friction

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?

#8Tier 3 · Mixed modeled alignment70.5

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Increase +0.4 pts Property replacement-cycle demandReduction -0.5 pts Labor and staffing friction

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?

#9Tier 3 · Mixed modeled alignment70.5

PuroClean

Restoration · emergency property restoration

Increase +0.4 pts Referral ecosystemReduction -0.2 pts Labor and staffing friction

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?

#10Tier 3 · Mixed modeled alignment70.4

Tiger Adjusters

Public insurance adjusting · Home-based, referral-led public insurance adjusting business combining local property inspections with…

Increase +0.3 pts Referral ecosystemReduction -0.1 pts Labor and staffing friction

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?

#11Tier 3 · Mixed modeled alignment70.2

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Increase +0.4 pts Property replacement-cycle demandReduction -0.5 pts Labor and staffing friction

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?

#12Tier 3 · Mixed modeled alignment70.1

Aire Serv

HVAC installation, repair, and maintenance · Manager-led mobile HVAC installation, repair, maintenance, and emergency service business using skilled technicians…

Increase +0.4 pts Property replacement-cycle demandReduction -0.5 pts Labor and staffing friction

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?

#13Tier 3 · Mixed modeled alignment70.0

Workout Anytime

Fitness · fixed-location membership fitness

No material positive local adjustment identifiedNo material negative local adjustment identified

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?

#14Tier 3 · Mixed modeled alignment69.9

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +0.4 pts Property replacement-cycle demandReduction -0.6 pts Labor and staffing friction

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?

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

Tier 1 · Strongest modeled alignment80.0–100.0

Tier 2 · Favorable modeled alignment72.0–<80.0

Tier 3 · Mixed modeled alignment64.0–<72.0

Tier 4 · Higher-friction modeled alignment0.0–<64.0

How factor rows are classified

Positive local adjustmentNegative local adjustmentMeasured; no meaningful local adjustmentEffect below the publication thresholdNot applicable to this operating modelDepends on the specific site, territory, or operating conditionNot included in the score

What “best” means here

“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page.

Model 0.9.0 · Compiler 0.9.10-nonzero-markers-only · Report generated August 5, 2026 (site timezone)

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.

1
The Utility Delta: A Structural Audit of Ten U.S. MarketsInternal or supplied research; not publicly accessible.
Publisher
Supplied research material
Data period
Undated supplied research reviewed August 2, 2026
Scope
St. Louis section within a ten-market research docket
Locator
St. Louis, Missouri section, pages 7-8
Source tier
Tier 5 · supplied bespoke research
Accessed
August 2, 2026
2
Structural Constraints and Hidden Costs: A Forensic Municipal AuditInternal or supplied research; not publicly accessible.
Publisher
Supplied research material
Data period
Undated supplied research reviewed August 2, 2026
Scope
St. Louis section within a ten-municipality research docket
Locator
Section 4, St. Louis, Missouri, pages 7-8
Source tier
Tier 5 · supplied bespoke research
Accessed
August 2, 2026
3
Franchise data - 2 - riverside through charlotteInternal or supplied research; not publicly accessible.
Publisher
Supplied research material
Data period
Neighborhood research table reviewed August 2, 2026
Scope
Six St. Louis-area neighborhood or municipality records
Locator
Rows for Central West End, Soulard, Tower Grove South, University City, Clayton, and Kirkwood
Source tier
Tier 5 · supplied bespoke research
Accessed
August 2, 2026
4
QuickFacts: 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
Publisher
U.S. Census Bureau
Data period
July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic census metrics
Scope
St. Louis city, Missouri
Locator
Population, housing, households, economy, income, poverty, and geography table
Source tier
Tier 1 · government
Accessed
August 2, 2026
5
St. Louis city, MO - Profile data
Used for: Housing units in the 2024 ACS 1-year profile
Publisher
Census Reporter using U.S. Census Bureau data
Data period
2024 American Community Survey 1-year estimates
Scope
St. Louis city, Missouri county-equivalent
Locator
Population, households, housing units, income, poverty, education, and density profile
Source tier
Tier 2 · recognized institutional research
Accessed
August 2, 2026
6
Census Data: City of St. Louis
Used for: Occupied and vacant housing units in the 2020 Census
Publisher
City of St. Louis Planning and Urban Design Agency
Data period
2020 Decennial Census
Scope
City of St. Louis
Locator
2020 housing-unit, occupied-unit, and vacant-unit table
Source tier
Tier 1 · government
Accessed
August 2, 2026
7
St. 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
Publisher
Biggest US Cities
Published
January 2, 2025
Data period
Census-derived city statistics; underlying ACS vintage not stated on page
Scope
St. Louis city, Missouri
Locator
Housing and rent statistics, including shares built before 1940 and after 2000
Source tier
Tier 4 · transparent secondary data
Accessed
August 2, 2026
8
Median age of housing in St. Louis by neighborhood
Used for: Neighborhoods with a median housing age of at least 100 years
Publisher
St. Louis Post-Dispatch; source data credited to City of St. Louis
Published
January 3, 2019
Data period
City building-age data available in 2019
Scope
City of St. Louis neighborhoods
Locator
Interactive map and summary statement on neighborhood median housing age
Source tier
Tier 4 · strong local reporting
Accessed
August 2, 2026
9
Common 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
Publisher
U.S. National Park Service
Data period
Historic-masonry preservation guidance current when accessed
Scope
General historic masonry; applicable as a material-mechanism source
Locator
Moisture, freeze-thaw, mortar compatibility, and repointing guidance
Source tier
Tier 1 · government
Accessed
August 2, 2026
10
Preservation 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
Publisher
U.S. National Park Service
Data period
Historic-masonry preservation guidance
Scope
General historic masonry; applicable as a material-mechanism source
Locator
Masonry deterioration at mortar joints and compatible repointing methods
Source tier
Tier 1 · government
Accessed
August 2, 2026
11
A 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
Publisher
U.S. National Park Service
Data period
Historic-masonry preservation guidance
Scope
General historic masonry; applicable as a material-mechanism source
Locator
Freeze-thaw moisture expansion, spalling, and delamination
Source tier
Tier 1 · government
Accessed
August 2, 2026
12
Facts & Figures
Used for: BJC Health aggregate system scale and BJC Medical Group physician and location network
Publisher
BJC Health
Data period
2025 aggregate system data unless otherwise indicated
Scope
BJC Health system across Missouri, southern Illinois, eastern Kansas, and the Midwest
Locator
System totals and BJC Medical Group location count
Source tier
Tier 2 · recognized institutional research
Accessed
August 2, 2026
13
Our 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
Publisher
Washington University in St. Louis
Data period
Fiscal year 2025 regional impact
Scope
St. Louis region
Locator
Regional economic impact, direct spending, employment, and community impact
Source tier
Tier 2 · recognized institutional research
Accessed
August 2, 2026
14
Occupational 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
Publisher
U.S. Bureau of Labor Statistics
Published
June 27, 2025
Data period
May 2024
Scope
St. Louis, MO-IL Metropolitan Statistical Area
Locator
Table A major occupational groups and metropolitan-area definition
Source tier
Tier 1 · government
Accessed
August 2, 2026
15
St. 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
Publisher
Cushman & Wakefield
Published
July 24, 2026
Data period
Q2 2026
Scope
St. Louis metropolitan commercial real-estate market
Locator
Current office, industrial, and retail vacancy summaries
Source tier
Tier 3 · credible industry
Accessed
August 2, 2026
16
St. 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
Publisher
CBRE
Published
July 8, 2026
Data period
Q2 2026
Scope
St. Louis metropolitan industrial market
Locator
Vacancy, asking rent, leasing, absorption, and construction-pipeline summary
Source tier
Tier 3 · credible industry
Accessed
August 2, 2026
17
Reversing 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
Publisher
Brookings Institution
Published
March 26, 2025
Data period
Downtown office conditions and conversion analysis through the study period
Scope
Downtown St. Louis
Locator
Office-building vacancy concentration and two fully vacant large buildings
Source tier
Tier 2 · recognized institutional research
Accessed
August 2, 2026
18
City 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
Publisher
City of St. Louis Cultural Resources Office
Data period
Current district list accessed August 2026
Scope
City of St. Louis local historic districts
Locator
District count, certified-district count, and exterior-review requirements
Source tier
Tier 1 · government
Accessed
August 2, 2026
19
CRO 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
Publisher
City of St. Louis Cultural Resources Office
Data period
Current process accessed August 2026
Scope
City landmarks and properties in City Historic Districts
Locator
Automatic referral, approval requirement, and typical compliant-review timing
Source tier
Tier 1 · government
Accessed
August 2, 2026
20
Zoning Overlay Districts
Used for: City zoning includes Form-Based, Planned Unit Development, Signage Plan, and Special Use overlay mechanisms
Publisher
City of St. Louis Planning and Urban Design Agency
Data period
Current overlay types accessed August 2026
Scope
City of St. Louis overlay districts
Locator
Form-Based, Planned Unit Development, Signage Plan, Special Use, and other overlay descriptions
Source tier
Tier 1 · government
Accessed
August 2, 2026
21
Zoning Section
Used for: Commercial occupancy and building permits are reviewed for compliance with Title 26 zoning
Publisher
City of St. Louis Building Division
Data period
Current process accessed August 2026
Scope
City of St. Louis
Locator
Commercial occupancy and building-permit review under Title 26
Source tier
Tier 1 · government
Accessed
August 2, 2026
22
Answers to Common Zoning Questions
Used for: Sign controls vary by zoning district and apply to multiple forms of visible commercial messaging
Publisher
City of St. Louis Building Division
Data period
Current sign-regulation guidance accessed August 2026
Scope
City of St. Louis zoning districts
Locator
Comprehensive sign-control regulations and district variation
Source tier
Tier 1 · government
Accessed
August 2, 2026
23
Apply 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
Publisher
City of St. Louis Street Department
Data period
Current permit process accessed August 2026
Scope
City of St. Louis curb space in front of applicant businesses
Locator
Annual permit and curb-loading-zone process
Source tier
Tier 1 · government
Accessed
August 2, 2026
24
City Government Structure
Used for: The City of St. Louis is independent of any county and performs functions commonly handled by county government
Publisher
City of St. Louis
Data period
Current government structure accessed August 2026
Scope
City of St. Louis
Locator
Independent-city status and city performance of county functions
Source tier
Tier 1 · government
Accessed
August 2, 2026
25
Merging 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
Publisher
Roosevelt Institute
Data period
Published in 2026; municipal count reported for St. Louis County
Scope
City of St. Louis and St. Louis County
Locator
Independent city-county divide and reported 81 county municipalities
Source tier
Tier 2 · recognized institutional research
Accessed
August 2, 2026
26
List 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
Publisher
City of St. Louis
Data period
Current procurement process accessed August 2026
Scope
City of St. Louis agencies
Locator
Sealed-bid, RFP, RFQ, RFI, and vendor-registration process
Source tier
Tier 1 · government
Accessed
August 2, 2026
27
Register 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
Publisher
City of St. Louis Supply Division
Data period
Current vendor-registration process accessed August 2026
Scope
City of St. Louis Supply Division
Locator
Portal registration timing, business-license requirement, and tax-current requirement
Source tier
Tier 1 · government
Accessed
August 2, 2026
28
Procurement Policy
Used for: Washington University procurement guidance calls for vendor research, preferred-supplier review, multiple bids, and supervisor review
Publisher
Washington University in St. Louis Olin Finance & Accounting Services
Data period
Current policy accessed August 2026
Scope
Washington University in St. Louis
Locator
Vendor research, preferred suppliers, multiple bids, and supervisor review
Source tier
Tier 2 · recognized institutional research
Accessed
August 2, 2026

Before contacting a franchisor

Complete the next layer of due diligence

Confirm the exact protected territory and neighboring units.
Review the current Franchise Disclosure Document.
Validate local staffing, licensing, insurance, and service-base assumptions.
Obtain location, vehicle, buildout, or working-capital estimates.
Speak with current and former franchisees.
Build a candidate-specific financial scenario.

Apply the analysis to your situation

Review how these market findings apply to your budget, role, and proposed territory.

The city score does not include your experience, capital structure, time commitment, financing, or exact territory.

Request a private franchise review

View methodology View source registry

Disclaimer and broker disclosure: This analysis is informational and does not constitute financial, legal, accounting, or investment advice. Market-alignment scores do not predict financial performance or business success. Offers are made only through the delivery of a Franchise Disclosure Document. We may receive referral compensation from participating franchisors; compensation is not an input to the scoring model.

Best Franchise Opportunities We Assessed in St. Louis, Missouri

Why these concepts were evaluated

What stood out in our assessment

What the ranking means for St. Louis, Missouri

Top 10 local-alignment scores from 14 concepts assessed

How each factor affected the highest-rated franchise concepts

Which positions depend most on individual assumptions?

How we calculated City Wide

Full score ledger

How to interpret the result

Which local conditions changed scores or rankings?

Target-market demand

Concepts helped most

Property replacement-cycle demand

Concepts helped most

Labor and staffing friction

Concepts challenged most

Referral ecosystem

Concepts helped most

Best franchise categories we assessed in St. Louis, Missouri

Best Restoration franchise opportunities we assessed in St. Louis, Missouri

Explore the complete score calculations

City Wide

Full score ledger

Evidence confidence

Most important next check

Jan-Pro International

Full score ledger

Evidence confidence

Most important next check

ActionCOACH

Full score ledger

Evidence confidence

Most important next check

FASTSIGNS

Full score ledger

Evidence confidence

Most important next check

HomeSmiles

Full score ledger

Evidence confidence

Most important next check

Rainbow International Restoration

Full score ledger

Evidence confidence

Most important next check

Pillar To Post Home Inspectors

Full score ledger

Evidence confidence

Most important next check

ZOOM DRAIN

Full score ledger

Evidence confidence

Most important next check

PuroClean

Full score ledger

Evidence confidence

Most important next check

Tiger Adjusters

Full score ledger

Evidence confidence

Most important next check

Mr. Rooter

Full score ledger

Evidence confidence

Most important next check

Aire Serv

Full score ledger

Evidence confidence

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Workout Anytime

Full score ledger

Evidence confidence

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Mister Sparky Electric

Full score ledger

Evidence confidence

Most important next check

The 35 local metrics behind this analysis

What the model can and cannot establish