69.3 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Milwaukee, Wisconsin
We compared 14 franchise concepts for Milwaukee, Wisconsin. Local business demand was a leading positive mechanism. Skilled-trade labor competition was a leading operating constraint.
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.
14Concepts evaluated
35Sources used
21Primary sources
39Local 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
1.3 points average among 12 affected concepts
1.7 points average reduction among 13 affected concepts
Tested rank range spans 10 positions
Executive conclusion
What the ranking means for Milwaukee, Wisconsin
City Wide, ActionCOACH, and Jan-Pro International produced the highest modeled local-alignment scores in the evaluated set. Local business demand was the strongest positive scored mechanism among 10 exposed concepts, adding 0.9 points on average. One important asymmetry was that the same local condition supported replacement and repair demand while also creating legacy-system service complexity. These scores describe local operating alignment, not expected returns or overall franchise quality; the offered territory and franchise economics still require separate diligence.
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 managementInvestment: $229,729–$410,730 | 74.7Tier 2 · Favorable modeled alignment | +3.9 ptsTarget-market demand | -0.2 ptsLabor and staffing friction | Moderate evidence confidence |
| 2 | ActionCOACHBusiness coachingInvestment: $71,668–$303,513 | 73.0Tier 2 · Favorable modeled alignment | +2.0 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 3 | Jan-Pro InternationalCommercial cleaningInvestment: $130,000–$421,500 | 72.9Tier 2 · Favorable modeled alignment | +3.1 ptsTarget-market demand | -0.4 ptsLabor and staffing friction | Moderate evidence confidence |
| 4 | FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285 | 72.0Tier 3 · Mixed modeled alignment | +2.6 ptsTarget-market demand | -1.0 ptsLabor and staffing friction | Moderate evidence confidence |
| 5 | HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800 | 70.9Tier 3 · Mixed modeled alignment | +1.8 ptsTarget-market demand | -1.3 ptsLabor and staffing friction | Moderate evidence confidence |
| 6 | Workout AnytimeFitnessInvestment: $1,060,850–$1,840,550 | 69.8Tier 3 · Mixed modeled alignment | +0.1 ptsTarget-market demand | -0.3 ptsLabor and staffing friction | Moderate evidence confidence |
| 7 | Pillar To Post Home InspectorsHome inspectionInvestment: $102,690–$134,290 | 69.8Tier 3 · Mixed modeled alignment | +0.4 ptsProperty replacement-cycle demand | -0.7 ptsLabor and staffing friction | Moderate evidence confidence |
| 8 | Rainbow International RestorationRestorationInvestment: $185,336–$351,900 | 69.5Tier 3 · Mixed modeled alignment | +0.6 ptsProperty replacement-cycle demand | -1.8 ptsLabor and staffing friction | Moderate evidence confidence |
| 9 | Tiger AdjustersPublic insurance adjustingInvestment: $43,050–$159,500 | 69.5Tier 3 · Mixed modeled alignment | +0.2 ptsTarget-market demand | -0.8 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | PuroCleanRestorationInvestment: $54,575–$262,145 | 69.1Tier 3 · Mixed modeled alignment | +0.6 ptsProperty replacement-cycle demand | -1.9 ptsLabor and staffing friction | Moderate evidence confidence |
Conditions that changed the analysis
What mattered most in Milwaukee, Wisconsin
Large city and county business base supports broad local commercial-account demand
This relationship affected 10 concepts and added 0.9 points on average among those exposed. Local evidence: Selected city business receipts and sales in 2022: accommodation and food services sales usd: 2,347,756,000; health care and social assistance receipts usd: 8,168,233,000; transportation and warehousing receipts usd: 1,560,220,000; retail sales usd: 5,577,005,000. [7] [8]
Predominantly pre-1960 housing and a large lead-service-line program support replacement demand with diagnostic complexity
The same local condition created complementary effects: replacement and repair demand supported exposed concepts while legacy-system service complexity constrained others. [9]
Skilled construction, repair, and production labor commands above-national wages in the metropolitan labor basin
This relationship affected 10 concepts and reduced 1.5 points on average among those exposed. Local evidence: Production occupations as a share of total employment compared with the United States: milwaukee percent: 8.4; united states percent: 5.5 percent of total employment. [12]
Evidence behind the city mechanisms
Large city and county business base supports broad local commercial-account demand1 modeled effect
Local business demandTarget-market demand
Predominantly pre-1960 housing and a large lead-service-line program support replacement demand with diagnostic complexity3 local facts · 2 modeled effects · 1 source
- Housing built before 1940: 42 percent of housing stock minimum [9]
- Housing built from 1940 through 1959: 32 percent of housing stock [9]
- Housing built before 1960, derived from reported age cohorts: 74 percent of housing stock approximate [9]
Replacement and repair demandProperty replacement-cycle demand
Legacy-system service complexityLabor and staffing friction
Skilled construction, repair, and production labor commands above-national wages in the metropolitan labor basin1 modeled effect
Skilled-trade labor competitionLabor and staffing friction
Large healthcare institutions support facility-service demand while competing for overlapping support and technical labor3 local facts · 2 modeled effects · 3 sources
- Selected city business receipts and sales in 2022: accommodation and food services sales usd: 2,347,756,000; health care and social assistance receipts usd: 8,168,233,000; transportation and warehousing receipts usd: 1,560,220,000; retail sales usd: 5,577,005,000 [7]
- Education and health services employment in June 2026: employment: 181,200; year over year change percent: 0.6; status: preliminary jobs and percent [13]
- Mean hourly wages for operating-relevant frontline occupational groups: food preparation and serving: milwaukee: 16.11, united states: 17.86; healthcare support: milwaukee: 19.27, united states: 19.62; building and grounds cleaning and maintenance: milwaukee: 19.87, united states: 19.66; office and administrative support: milwaukee: 24.61, united states: 24.79; transportation and material moving: milwaukee: 22.33, united states: 23.96 usd per hour [12]
Healthcare institutional service demandTarget-market demand
Healthcare-overlap labor competitionLabor and staffing friction
Two large urban universities and a formal municipal procurement channel create institutional-account and referral opportunities3 local facts · 3 modeled effects · 5 sources
- University of Wisconsin-Milwaukee enrollment: total: 23,104; undergraduate: 19,217; graduate: 3,887; fully online: 3,213 students [30]
- Marquette University enrollment: undergraduate: 8,206; graduate and professional: 3,705; total derived: 11,911 students [31]
- City goods, services, and construction are generally obtained through bid or proposal solicitation: bid solicitation, request for proposal, publicly posted current opportunities procurement methods [25] [26] [27]
University and government account demandTarget-market demand
Institutional professional relationship baseReferral ecosystem
Campus-contained demand constraintTarget-market demand
Formal city and institutional procurement supports account access but introduces customer-specific solicitation requirements3 local facts · 2 modeled effects · 5 sources
- Employer establishments in Milwaukee County: 20,466 establishments [8]
- Professional and business services employment in June 2026: employment: 120,300; year over year change percent: 0.8; status: preliminary jobs and percent [13]
- City goods, services, and construction are generally obtained through bid or proposal solicitation: bid solicitation, request for proposal, publicly posted current opportunities procurement methods [25] [26] [27]
Professional and institutional relationship densityReferral ecosystem
Institutional procurement-cycle frictionSales and customer acquisition
Active I-94 East-West reconstruction creates corridor-specific detours, lane constraints, and access changes through 20331 modeled effect
Temporary route disruptionTransportation, routing, and parking
Large lakefront events create material but time- and location-concentrated visitor demand2 local facts · 2 modeled effects · 2 sources
- Summerfest 2026 attendance concentrated across three festival weekends and two additional performances: three weekend festival attendance: 568,711; additional two performance attendance: 44,764; combined reported attendance: 613,475 attendees [33]
- Milwaukee County tourism spending and employment in 2025: direct visitor spending usd: 2,507,000,000; total economic impact usd: 4,431,000,000; jobs supported: 27,812 usd and jobs [34]
Event-driven demand upsideTarget-market demand
Event-demand volatilityTarget-market demand
Compare all assessed concepts
Local impact by franchise concept
14 concepts shown. Expand a concept to see the score-changing factors and their modeled drivers; the full audit ledger stays collapsed.
#1Tier 2 · Favorable modeled alignment74.7
City Wide
Initial investment: $229,729–$410,730
Increase +3.9 pts Target-market demandReduction -0.2 pts Labor and staffing friction
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +3.9 pts | |
| Referral ecosystem | +1.0 pts | |
| Labor and staffing friction |
| -0.2 pts |
| Net local movement | +4.70 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | +3.9 |
| 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 | +1.0 |
| 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 | 74.70 |
| Published local-market alignment | 74.7 |
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
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +3.9 pts
- Tested rank range
- #1–#2
#2Tier 2 · Favorable modeled alignment73.0
ActionCOACH
Initial investment: $71,668–$303,513
Increase +2.0 pts Target-market demandNo material negative local adjustment identified
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +2.0 pts | |
| Referral ecosystem | +1.0 pts | |
| Sales and customer acquisition | Institutional procurement-cycle friction EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +2.97 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.0 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Effect below the publication threshold |
| 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 | +1.0 |
| 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 | 72.97 |
| Published local-market alignment | 73.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.0 pts
- Tested rank range
- #1–#3
#3Tier 2 · Favorable modeled alignment72.9
Jan-Pro International
Initial investment: $130,000–$421,500
Increase +3.1 pts Target-market demandReduction -0.4 pts Labor and staffing friction
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +3.1 pts | |
| Labor and staffing friction |
| -0.4 pts |
| Referral ecosystem |
| +0.1 pts |
| Sales and customer acquisition | Institutional procurement-cycle friction EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +2.89 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
1 image
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | +3.1 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| 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 | 72.89 |
| Published local-market alignment | 72.9 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +3.1 pts
- Tested rank range
- #2–#3
#4Tier 3 · Mixed modeled alignment72.0
FASTSIGNS
Initial investment: $231,226–$386,285
Increase +2.6 pts Target-market demandReduction -1.0 pts Labor and staffing friction
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +2.6 pts | |
| Labor and staffing friction | -1.0 pts | |
| Referral ecosystem | +0.3 pts | |
| Net local movement | +2.00 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Item 19 — Financial Performance Representation
2 images
Public company data assessed
3 sourcesFull calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.6 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.0 |
| Transportation, routing, and parking | 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 | 72.00 |
| Published local-market alignment | 72.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.6 pts
- Tested rank range
- #4–#6
#5Tier 3 · Mixed modeled alignment70.9
HomeSmiles
Initial investment: $148,110–$201,800
Increase +1.8 pts Target-market demandReduction -1.3 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +1.8 pts | |
| Labor and staffing friction | -1.3 pts | |
| Referral ecosystem |
| +0.5 pts |
| Net local movement | +0.88 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | +1.8 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.3 |
| 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 | Not included in the score |
| 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 | 70.88 |
| Published local-market alignment | 70.9 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.8 pts
- Tested rank range
- #5–#10
#6Tier 3 · Mixed modeled alignment69.8
Workout Anytime
Initial investment: $1,060,850–$1,840,550
Increase +0.1 pts Target-market demandReduction -0.3 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction |
| -0.3 pts |
| Target-market demand | +0.1 pts | |
| Net local movement | -0.22 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | -0.3 |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.78 |
| Published local-market alignment | 69.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.3 pts
- Tested rank range
- #4–#14
#7Tier 3 · Mixed modeled alignment69.8
Pillar To Post Home Inspectors
Initial investment: $102,690–$134,290
Increase +0.4 pts Property replacement-cycle demandReduction -0.7 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -0.7 pts | |
| Property replacement-cycle demand |
| +0.4 pts |
| Target-market demand |
| +0.1 pts |
| Transportation, routing, and parking | Temporary route disruption EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | -0.24 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 19 — Financial Performance Representation
1 image
Public company data assessed
2 sourcesFull calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.1 |
| Property replacement-cycle demand | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.7 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.76 |
| Published local-market alignment | 69.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.7 pts
- Tested rank range
- #5–#12
#8Tier 3 · Mixed modeled alignment69.5
Rainbow International Restoration
Initial investment: $185,336–$351,900
Increase +0.6 pts Property replacement-cycle demandReduction -1.8 pts Labor and staffing friction
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -1.8 pts | |
| Property replacement-cycle demand |
| +0.6 pts |
| Referral ecosystem |
| +0.4 pts |
| Target-market demand | +0.3 pts | |
| Net local movement | -0.53 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.3 |
| Property replacement-cycle demand | +0.6 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.8 |
| 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 | Not included in the score |
| Referral ecosystem | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.47 |
| Published local-market alignment | 69.5 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.8 pts
- Tested rank range
- #7–#9
#9Tier 3 · Mixed modeled alignment69.5
Tiger Adjusters
Initial investment: $43,050–$159,500
Increase +0.2 pts Target-market demandReduction -0.8 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -0.8 pts | |
| Target-market demand |
| +0.2 pts |
| Net local movement | -0.54 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 19 — Financial Performance Representation
1 image
Public company data assessed
1 sourceFull calculation and evidence confidence
Audit layer
Full factor ledger
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 | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.8 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.46 |
| Published local-market alignment | 69.5 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.8 pts
- Tested rank range
- #7–#13
#10Tier 3 · Mixed modeled alignment69.1
PuroClean
Initial investment: $54,575–$262,145
Increase +0.6 pts Property replacement-cycle demandReduction -1.9 pts Labor and staffing friction
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -1.9 pts | |
| Property replacement-cycle demand |
| +0.6 pts |
| Referral ecosystem |
| +0.4 pts |
| Net local movement | -0.87 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | +0.6 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.9 |
| 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 | Not included in the score |
| Referral ecosystem | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.13 |
| Published local-market alignment | 69.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.9 pts
- Tested rank range
- #9–#10
#11Tier 3 · Mixed modeled alignment68.3
ZOOM DRAIN
Initial investment: $266,250–$570,500
Increase +0.8 pts Property replacement-cycle demandReduction -3.2 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -3.2 pts | |
| Property replacement-cycle demand |
| +0.8 pts |
| Target-market demand |
| +0.4 pts |
| Referral ecosystem |
| +0.3 pts |
| Net local movement | -1.71 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.4 |
| Property replacement-cycle demand | +0.8 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -3.2 |
| 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 | Not included in the score |
| Referral ecosystem | +0.3 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 68.29 |
| Published local-market alignment | 68.3 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -3.2 pts
- Tested rank range
- #6–#11
#12Tier 3 · Mixed modeled alignment67.7
Mr. Rooter
Initial investment: $152,900–$298,675
Increase +0.8 pts Property replacement-cycle demandReduction -3.3 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -3.3 pts | |
| Property replacement-cycle demand |
| +0.8 pts |
| Target-market demand |
| +0.3 pts |
| Net local movement | -2.26 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.3 |
| Property replacement-cycle demand | +0.8 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -3.3 |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 67.74 |
| Published local-market alignment | 67.7 |
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
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -3.3 pts
- Tested rank range
- #8–#12
#13Tier 3 · Mixed modeled alignment67.4
Aire Serv
Initial investment: $113,308–$271,708
Increase +0.7 pts Property replacement-cycle demandReduction -3.6 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -3.6 pts | |
| Property replacement-cycle demand |
| +0.7 pts |
| Target-market demand |
| +0.3 pts |
| Net local movement | -2.59 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
1 image
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Item 19 — Financial Performance Representation
1 image
Public company data assessed
1 sourceFull calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.3 |
| Property replacement-cycle demand | +0.7 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -3.6 |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 67.41 |
| Published local-market alignment | 67.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -3.6 pts
- Tested rank range
- #9–#13
#14Tier 3 · Mixed modeled alignment67.1
Mister Sparky Electric
Increase +0.7 pts Property replacement-cycle demandReduction -3.6 pts Labor and staffing friction
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -3.6 pts | |
| Property replacement-cycle demand |
| +0.7 pts |
| Net local movement | -2.89 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | +0.7 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -3.6 |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 67.11 |
| Published local-market alignment | 67.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -3.6 pts
- Tested rank range
- #11–#14
No franchise concepts match the selected filters.
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 | +3.9 |
| 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 | +1.0 |
| 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 | 74.70 |
| Published local-market alignment | 74.7 |
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.
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.
Why concepts react differently
We applied a measurable adjustment to 12 of 14 concepts. When we neutralized the factor and recalculated the table, 7 concepts changed position. HomeSmiles moved from #5 to #9, the largest movement among concepts directly affected by this factor.
Concepts adjusted12 of 14
Average among affected+1.3 pts
Average across all concepts+1.1 pts
Concepts changing rank7
What we observed
- Households During The 2020 2024 Quickfacts Reference Period232,520 households
- Selected City Business Receipts And Sales In 2022accommodation and food services sales usd: 2,347,756,000; health care and social assistance receipts usd: 8,168,233,000; transportation and warehousing receipts usd: 1,560,220,000; retail sales usd: 5,577,005,000
- Employer Establishments In Milwaukee County20,466 establishments
Concepts helped most
City WideFacility management
+3.9 pts
Jan-Pro InternationalCommercial cleaning
+3.1 pts
FASTSIGNSSigns and graphics
+2.6 pts
ActionCOACHBusiness coaching
+2.0 pts
HomeSmilesProperty maintenance services
+1.8 pts
Observed model effectMixed or model dependent
Property replacement-cycle demand
We compared the age and condition of relevant property systems with the services each concept is actually equipped to provide.
Why concepts react differently
We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 3 concepts changed position. Pillar To Post Home Inspectors moved from #7 to #8, the largest movement among concepts directly affected by this factor.
Concepts adjusted7 of 14
Average among affected+0.6 pts
Average across all concepts+0.3 pts
Concepts changing rank3
Concepts helped most
ZOOM DRAINDrain and sewer service
+0.8 pts
Mr. RooterPlumbing
+0.8 pts
Aire ServHVAC installation, repair, and maintenance
+0.7 pts
Mister Sparky ElectricElectrical
+0.7 pts
PuroCleanRestoration
+0.6 pts
Observed model effectMaterial local friction
Labor and staffing friction
We compared each concept’s frontline and specialist staffing requirements with the local labor environment.
Why concepts react differently
We applied a measurable adjustment to 13 of 14 concepts. When we neutralized the factor and recalculated the table, 10 concepts changed position. Workout Anytime moved from #6 to #14, the largest movement among concepts directly affected by this factor.
Concepts adjusted13 of 14
Average among affected-1.7 pts
Average across all concepts-1.6 pts
Concepts changing rank10
What we observed
- Mean Hourly Wages For Skilled Trade Occupational Groupsconstruction and extraction: milwaukee: 35.09, united states: 31.42; installation maintenance and repair: milwaukee: 31.34, united states: 30.44; production: milwaukee: 25.28, united states: 24.81 usd per hour
- Production Occupations As A Share Of Total Employment Compared With The United Statesmilwaukee percent: 8.4; united states percent: 5.5 percent of total employment
- Preliminary Unemployment Rate In June 20263.8 percent
Concepts challenged most
Aire ServHVAC installation, repair, and maintenance
-3.6 pts
Mister Sparky ElectricElectrical
-3.6 pts
Mr. RooterPlumbing
-3.3 pts
ZOOM DRAINDrain and sewer service
-3.2 pts
PuroCleanRestoration
-1.9 pts
Observed model effectMixed or model dependent
Referral ecosystem
We tested whether the local professional and institutional referral ecosystem materially separated the assessed concepts.
Why concepts react differently
We applied a measurable adjustment to 8 of 14 concepts. When we neutralized the factor and recalculated the table, 4 concepts changed position. Jan-Pro International moved from #3 to #2, the largest movement among concepts directly affected by this factor.
Concepts adjusted8 of 14
Average among affected+0.5 pts
Average across all concepts+0.3 pts
Concepts changing rank4
Concepts helped most
ActionCOACHBusiness coaching
+1.0 pts
City WideFacility management
+1.0 pts
HomeSmilesProperty maintenance services
+0.5 pts
PuroCleanRestoration
+0.4 pts
Rainbow International RestorationRestoration
+0.4 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
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–#2
#2 ActionCOACHModerately sensitive · tested #1–#3
#3 Jan-Pro InternationalStable · tested #2–#3
#4 FASTSIGNSModerately sensitive · tested #4–#6
#5 HomeSmilesHighly sensitive · tested #5–#10
#6 Workout AnytimeHighly sensitive · tested #4–#14
#7 Pillar To Post Home InspectorsHighly sensitive · tested #5–#12
#8 Rainbow International RestorationModerately sensitive · tested #7–#9
#9 Tiger AdjustersHighly sensitive · tested #7–#13
#10 PuroCleanStable · tested #9–#10
#11 ZOOM DRAINHighly sensitive · tested #6–#11
#12 Mr. RooterHighly sensitive · tested #8–#12
#13 Aire ServHighly sensitive · tested #9–#13
#14 Mister Sparky ElectricModerately sensitive · tested #11–#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.
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.
Primary source records by factorTarget-market demand: [7] [8] [13] [32] [30] [31] [33] [34] [25] [28] [3] [5]Property replacement-cycle demand: [9] [10] [11] [28] [29] [35] [3]Competitive environment: [8] [7] [13] [25] [5]Labor and staffing friction: [12] [13] [9] [10] [32] [3] [4]Transportation, routing, and parking: [17] [18] [19] [7] [4] [5]Real estate and site feasibility: [14] [15] [16] [20] [21] [22] [23] [24] [35] [3] [4]Sales and customer acquisition: [25] [26] [27] [28] [29] [8] [13] [5]Referral ecosystem: [8] [13] [30] [31] [32] [25] [27] [28] [29]Territory quality: [7] [9] [14] [15] [16] [17] [19] [20] [21] [30] [31] [33] [5]Regulatory and operating friction: [20] [21] [22] [23] [24] [10] [4] [5]
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Labor and staffing friction | Referral ecosystem |
|---|---|---|---|---|
| #1 City Wide | +3.9 pts | — | -0.2 pts | +1.0 pts |
| #2 ActionCOACH | +2.0 pts | — | — | +1.0 pts |
| #3 Jan-Pro International | +3.1 pts | — | -0.4 pts | +0.1 pts |
| #4 FASTSIGNS | +2.6 pts | — | -1.0 pts | +0.3 pts |
| #5 HomeSmiles | +1.8 pts | — | -1.3 pts | +0.5 pts |
| #6 Workout Anytime | +0.1 pts | — | -0.3 pts | — |
| #7 Pillar To Post Home Inspectors | +0.1 pts | +0.4 pts | -0.7 pts | — |
| #8 Rainbow International Restoration | +0.3 pts | +0.6 pts | -1.8 pts | +0.4 pts |
| #9 Tiger Adjusters | +0.2 pts | — | -0.8 pts | — |
| #10 PuroClean | — | +0.6 pts | -1.9 pts | +0.4 pts |
| #11 ZOOM DRAIN | +0.4 pts | +0.8 pts | -3.2 pts | +0.3 pts |
| #12 Mr. Rooter | +0.3 pts | +0.8 pts | -3.3 pts | — |
| #13 Aire Serv | +0.3 pts | +0.7 pts | -3.6 pts | — |
| #14 Mister Sparky Electric | — | +0.7 pts | -3.6 pts | — |
Interpretation
How to interpret the result
City Wide, ActionCOACH, Jan-Pro International led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to labor and staffing friction. The same city condition can help one operating model and constrain another, so score differences should be read through each concept's factor pattern rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for HomeSmiles, Workout Anytime, Pillar To Post Home Inspectors; their ranks move more widely when individual factors are neutralized.
Local evidence assessed for modeling
Category comparisons
Best franchise categories we assessed in Milwaukee, Wisconsin
Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.
Limited two-concept comparison
69.3Best Restoration franchise opportunities we assessed in Milwaukee, Wisconsin
2 Restoration concepts qualified for comparison, with scores ranging from 69.1 to 69.5. Rainbow International Restoration ranked highest at 69.5. Property replacement-cycle demand added 0.6 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 1.8 points on average.
Interpret cautiously: A 0.3-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 69.1–69.5
- Category average
- 69.3
Rainbow International Restoration69.5
PuroClean69.1
Metric registry
The 39 local metrics behind this analysis
The registry shows each public metric’s raw value, period, geography, source, and its actual role in the compiled analysis.
View all local metrics
| Metric | Raw value | Period | Geography | Role in analysis | Source |
|---|---|---|---|---|---|
| Resident population estimate on July 1, 2025 | 562,407people | July 1, 2025 population estimate; 2020-2024 household, housing, income, and commuting measures; 2022 economic receipts | Milwaukee, Wisconsin | Context only | [7] |
| Population change from the April 2020 estimate base to July 2025 | -2.7percent | July 1, 2025 population estimate; 2020-2024 household, housing, income, and commuting measures; 2022 economic receipts | Milwaukee, Wisconsin | Context only | [7] |
| Households during the 2020-2024 QuickFacts reference period | 232,520households | July 1, 2025 population estimate; 2020-2024 household, housing, income, and commuting measures; 2022 economic receipts | Milwaukee, Wisconsin | Used in scoring | [7] |
| Owner-occupied housing unit rate | 41.8percent of occupied housing units | July 1, 2025 population estimate; 2020-2024 household, housing, income, and commuting measures; 2022 economic receipts | Milwaukee, Wisconsin | Context only | [7] |
| Selected city business receipts and sales in 2022 | accommodation and food services sales usd: 2,347,756,000; health care and social assistance receipts usd: 8,168,233,000; transportation and warehousing receipts usd: 1,560,220,000; retail sales usd: 5,577,005,000usd | July 1, 2025 population estimate; 2020-2024 household, housing, income, and commuting measures; 2022 economic receipts | Milwaukee, Wisconsin | Used in scoring | [7] |
| Employer establishments in Milwaukee County | 20,466establishments | 2023 employer and nonemployer statistics; July 1, 2025 population estimate; 2020-2024 socioeconomic measures | Milwaukee County, Wisconsin | Used in scoring | [8] |
| Employment reported for Milwaukee County employer establishments | 435,400jobs | 2023 employer and nonemployer statistics; July 1, 2025 population estimate; 2020-2024 socioeconomic measures | Milwaukee County, Wisconsin | Context only | [8] |
| Professional and business services employment in June 2026 | employment: 120,300; year over year change percent: 0.8; status: preliminaryjobs and percent | Labor force and industry employment through June 2026; June values preliminary | Milwaukee-Waukesha, Wisconsin MSA | Used in scoring | [13] |
| Education and health services employment in June 2026 | employment: 181,200; year over year change percent: 0.6; status: preliminaryjobs and percent | Labor force and industry employment through June 2026; June values preliminary | Milwaukee-Waukesha, Wisconsin MSA | Supports modeled relationship | [13] |
| Housing built before 1940 | 42percent of housing stock minimum | Milwaukee Master Property Record and Permit Center data for 2025, with cited housing-age shares | Milwaukee, Wisconsin | Supports modeled relationship | [9] |
| Housing built from 1940 through 1959 | 32percent of housing stock | Milwaukee Master Property Record and Permit Center data for 2025, with cited housing-age shares | Milwaukee, Wisconsin | Supports modeled relationship | [9] |
| Housing built before 1960, derived from reported age cohorts | 74percent of housing stock approximate | Milwaukee Master Property Record and Permit Center data for 2025, with cited housing-age shares | Milwaukee, Wisconsin | Conditional relationship | [9] |
| Remaining lead service lines targeted for replacement | remaining lines: 65,000; target completion year: 2,037service lines and year | Current program status accessed August 2026 | Milwaukee Water Works lead service line program | Supports modeled relationship | [10] [11] |
| Circumstances that require full lead service line replacement | required triggers: licensed childcare facility, leak or failure, planned water main or full road reconstruction; annual leak or failure replacements approximate: 500-550; annual planned project replacements approximate: 500-650categorical and annual ranges | Current program status accessed August 2026 | Milwaukee Water Works lead service line program | Supports modeled relationship | [10] |
| Mean hourly wage for all occupations compared with the United States | milwaukee msa usd per hour: 32.42; united states usd per hour: 33.54usd per hour | May 2025 | Milwaukee-Waukesha, Wisconsin MSA | Context only | [12] |
| Mean hourly wages for operating-relevant frontline occupational groups | food preparation and serving: milwaukee: 16.11, united states: 17.86; healthcare support: milwaukee: 19.27, united states: 19.62; building and grounds cleaning and maintenance: milwaukee: 19.87, united states: 19.66; office and administrative support: milwaukee: 24.61, united states: 24.79; transportation and material moving: milwaukee: 22.33, united states: 23.96usd per hour | May 2025 | Milwaukee-Waukesha, Wisconsin MSA | Supports modeled relationship | [12] |
| Mean hourly wages for skilled-trade occupational groups | construction and extraction: milwaukee: 35.09, united states: 31.42; installation maintenance and repair: milwaukee: 31.34, united states: 30.44; production: milwaukee: 25.28, united states: 24.81usd per hour | May 2025 | Milwaukee-Waukesha, Wisconsin MSA | Used in scoring | [12] |
| Production occupations as a share of total employment compared with the United States | milwaukee percent: 8.4; united states percent: 5.5percent of total employment | May 2025 | Milwaukee-Waukesha, Wisconsin MSA | Used in scoring | [12] |
| Preliminary unemployment rate in June 2026 | 3.8percent | Labor force and industry employment through June 2026; June values preliminary | Milwaukee-Waukesha, Wisconsin MSA | Used in scoring | [13] |
| Milwaukee office market vacancy in Q2 2026 | 18.7percent | Second quarter 2026 | Milwaukee office market | Conditional relationship | [14] |
| Milwaukee industrial market vacancy in Q2 2026 | 4.3percent | Second quarter 2026 and first half 2026 | Milwaukee industrial market | Conditional relationship | [15] |
| Milwaukee industrial net absorption in Q2 and first half 2026 | q2 sqft: 2,100,000; year to date sqft: 3,200,000square feet | Second quarter 2026 and first half 2026 | Milwaukee industrial market | Context only | [15] |
| Southeast Wisconsin retail vacancy in Q2 2026 | 6.2percent | Second quarter 2026 | Southeast Wisconsin retail market | Context only | [16] |
| I-94 East-West construction phase schedule | west leg: 2025-2028; early east leg: 2025-2028; east leg: 2028-2030; stadium interchange: 2029-2033; wis 175: 2031-2033project phase years | Active impacts and construction staging accessed August 2026; project phases 2025-2033 | I-94 East-West corridor, 70th Street to 16th Street, Milwaukee County | Conditional relationship | [17] [18] |
| Selected active long-term I-94 East-West corridor closures and lane restrictions | Hawley Road at I-94 closed through late 2028, Multiple Hawley Road ramps closed long-term or permanently, I-94 westbound reduced to two lanes between Stadium Interchange and 70th Street for a long-term period, 27th Street and nearby Early East Leg roads and ramps have long-term 2026 closures and detourscategorical | Active impacts and construction staging accessed August 2026; project phases 2025-2033 | I-94 East-West construction corridor and adjacent streets | Conditional relationship | [17] |
| Winter overnight and Snow Emergency parking rules | through highway and bus route restriction: No parking December 1 through March 1 from 2:00 a.m. to 6:00 a.m.; snow emergency rule: Alternate-side parking required from 10:00 p.m. to 6:00 a.m. unless otherwise postedcategorical | Current winter parking rules accessed August 2026 | City of Milwaukee | Conditional relationship | [19] |
| Site Plan Review Overlay Zones add design and placement standards and require City Plan Commission approval | additional review for properties within sp overlaycategorical | Current zoning framework accessed August 2026 | City of Milwaukee Site Plan Review Overlay Zones | Conditional relationship | [20] |
| Locally designated historic properties require a Certificate of Appropriateness before covered permit work | certificate of appropriateness required for covered designated property workcategorical | Current historic-property process accessed August 2026 | Locally designated historic properties and districts in Milwaukee | Conditional relationship | [21] |
| Sign size, height, location, and permit requirements vary by zoning district and building-code provisions | district and sign type specific controlscategorical | Current sign-permit guidance accessed August 2026 | City of Milwaukee | Conditional relationship | [22] |
| The City does not assess impact fees, park fees, land dedication, or fees in lieu of land dedication as a land-development requirement | impact fees: no; park fees: no; land dedication: no; fees in lieu of land dedication: noboolean policy | Current land-development fee statement accessed August 2026 | Milwaukee, Wisconsin | Context only | [23] |
| Project-specific permit, plan review, plat or rezoning, stormwater, and utility hookup fees can apply | building permit, plan review, plat or rezoning when required, stormwater management, water or sewer hookup when requiredfee categories | Current land-development fee statement accessed August 2026 | Covered development and construction projects in Milwaukee | Context only | [23] [24] |
| City goods, services, and construction are generally obtained through bid or proposal solicitation | bid solicitation, request for proposal, publicly posted current opportunitiesprocurement methods | Current procurement process accessed August 2026 | City of Milwaukee | Supports modeled relationship | [25] [26] [27] |
| Current or 2026 municipal opportunities include plumbing maintenance, electrical services, roofing, construction, facilities maintenance, sewer, and water work | plumbing maintenance, electrical services, roofing and general construction, facilities maintenance, sewer construction, water service workservice categories | Current and 2026 bid records accessed August 2026 | City of Milwaukee departments and administered properties | Supports modeled relationship | [28] [29] |
| University of Wisconsin-Milwaukee enrollment | total: 23,104; undergraduate: 19,217; graduate: 3,887; fully online: 3,213students | Fall 2025 enrollment and current institutional facts | University of Wisconsin-Milwaukee | Conditional relationship | [30] |
| Marquette University enrollment | undergraduate: 8,206; graduate and professional: 3,705; total derived: 11,911students | Fall 2025 enrollment | Marquette University, Milwaukee | Conditional relationship | [31] |
| Aurora St. Luke's Medical Center scale | beds: 938; physicians: 1,332; nurses: 2,013; specialties: 115institutional counts | Current fact sheet accessed August 2026; recognition references include 2023 | Aurora St | Supports modeled relationship | [32] |
| Summerfest 2026 attendance concentrated across three festival weekends and two additional performances | three weekend festival attendance: 568,711; additional two performance attendance: 44,764; combined reported attendance: 613,475attendees | Summerfest 2026 | Milwaukee lakefront festival grounds | Conditional relationship | [33] |
| Milwaukee County tourism spending and employment in 2025 | direct visitor spending usd: 2,507,000,000; total economic impact usd: 4,431,000,000; jobs supported: 27,812usd and jobs | Calendar year 2025 | Milwaukee County, Wisconsin | Supports modeled relationship | [34] |
| Severe storms can overwhelm sewers or sump pumps and produce basement flooding, while area-wide flooding is not characterized as a general city condition | site and storm specific basement flooding riskcategorical | Current public-health guidance accessed August 2026 | Milwaukee properties exposed during severe storms | Context only | [35] |
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. In this city, City Wide reached 74.70 after target-market demand +3.9 pts, referral ecosystem +1.0 pts, and labor and staffing friction -0.2 pts. 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 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 19, 2026Added compiler-derived decision intelligence and observation usage mapping., Changed factor sensitivity and channel counterfactuals to full model reruns., Added data-dependent city content signals while preserving legacy public report fields., and Added model-owned semantic compatibility gates and backward-compatible channel-level evidence attribution.
Corrections policy
Corrected source, geography, or operating-profile evidence triggers a full compiler rerun so every dependent score and visual is recalculated.
Source registry
Evidence represented in this report
Each source identifies its period, scope, and the local metrics it supports. Internal or supplied research is not presented as independently accessible evidence.
- 1Franchise-to-city operating-fit scoring modelInternal or supplied research; not publicly accessible.
- 2Valid city JSON exampleInternal or supplied research; not publicly accessible.
- 3Structural Inefficiencies and Asymmetric Franchise Opportunities in Tier-1 U.S. MarketsInternal or supplied research; not publicly accessible.
- 4Forensic Audit Report: Structural Capital Constraints and Jurisdictional Risk ProfilesInternal or supplied research; not publicly accessible.
- 5Franchise data - remake - Combine2Internal or supplied research; not publicly accessible.
- 6Compiler-ready city research JSON instructionsInternal or supplied research; not publicly accessible.
- 7QuickFacts: Milwaukee city, Wisconsin
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Households during the 2020-2024 QuickFacts reference period, Owner-occupied housing unit rate, and Selected city business receipts and sales in 2022
- 8QuickFacts: Milwaukee County, Wisconsin
Used for: Employer establishments in Milwaukee County and Employment reported for Milwaukee County employer establishments
- 9Housing Affordability Report 2025
Used for: Housing built before 1940, Housing built from 1940 through 1959, and Housing built before 1960, derived from reported age cohorts
- 10Lead Service Line Replacement Programs
Used for: Remaining lead service lines targeted for replacement and Circumstances that require full lead service line replacement
- 11City of Milwaukee Lead Service Line Replacement Construction in Full Swing for 2026
Used for: Remaining lead service lines targeted for replacement
- 12Occupational Employment and Wages in Milwaukee-Waukesha — May 2025
Used for: Mean hourly wage for all occupations compared with the United States, Mean hourly wages for operating-relevant frontline occupational groups, Mean hourly wages for skilled-trade occupational groups, and Production occupations as a share of total employment compared with the United States
- 13Milwaukee-Waukesha, WI Economy at a Glance
Used for: Professional and business services employment in June 2026, Education and health services employment in June 2026, and Preliminary unemployment rate in June 2026
- 14Milwaukee Office Figures Q2 2026
Used for: Milwaukee office market vacancy in Q2 2026
- 15Milwaukee Industrial Figures Q2 2026
Used for: Milwaukee industrial market vacancy in Q2 2026 and Milwaukee industrial net absorption in Q2 and first half 2026
- 162026 Q2 Southeast Wisconsin & Madison Commercial Market Numbers
Used for: Southeast Wisconsin retail vacancy in Q2 2026
- 17About 94 East-West Construction
Used for: I-94 East-West construction phase schedule and Selected active long-term I-94 East-West corridor closures and lane restrictions
- 1894 East-West Project Overview
Used for: I-94 East-West construction phase schedule
- 19City of Milwaukee Winter Parking Regulations
Used for: Winter overnight and Snow Emergency parking rules
- 20Site Plan Review Overlay Zone (SP)
Used for: Site Plan Review Overlay Zones add design and placement standards and require City Plan Commission approval
- 21Certificate of Appropriateness
Used for: Locally designated historic properties require a Certificate of Appropriateness before covered permit work
- 22Sign Permits
Used for: Sign size, height, location, and permit requirements vary by zoning district and building-code provisions
- 23New Housing Fee Report
Used for: The City does not assess impact fees, park fees, land dedication, or fees in lieu of land dedication as a land-development requirement and Project-specific permit, plan review, plat or rezoning, stormwater, and utility hookup fees can apply
- 24Plan Review and Permit Fee Schedules
Used for: Project-specific permit, plan review, plat or rezoning, stormwater, and utility hookup fees can apply
- 25Purchasing Division
Used for: City goods, services, and construction are generally obtained through bid or proposal solicitation
- 26Bid / Contract Opportunities
Used for: City goods, services, and construction are generally obtained through bid or proposal solicitation
- 272026 City of Milwaukee Buying Plan
Used for: City goods, services, and construction are generally obtained through bid or proposal solicitation
- 28Bids, Requests for Proposals & Request for Qualifications
Used for: Current or 2026 municipal opportunities include plumbing maintenance, electrical services, roofing, construction, facilities maintenance, sewer, and water work
- 29Official Bid Notices
Used for: Current or 2026 municipal opportunities include plumbing maintenance, electrical services, roofing, construction, facilities maintenance, sewer, and water work
- 30Facts & Figures
Used for: University of Wisconsin-Milwaukee enrollment
- 31Marquette University Fast Facts
Used for: Marquette University enrollment
- 32Aurora St. Luke's Medical Center Fact Sheet
Used for: Aurora St. Luke's Medical Center scale
- 33Summerfest 2026 Celebrates Five Sold-Out Shows, 176 First Time Artists, and More than 400 Local Non-Profits Impacted
Used for: Summerfest 2026 attendance concentrated across three festival weekends and two additional performances
- 34Milwaukee Tourism Surpasses $4.4 Billion Economic Impact in 2025
Used for: Milwaukee County tourism spending and employment in 2025
- 35Flood Clean-Up
Used for: Severe storms can overwhelm sewers or sump pumps and produce basement flooding, while area-wide flooding is not characterized as a general city condition
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.
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.