70.1 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in McAllen, Texas
We compared 14 franchise concepts for McAllen, Texas. Healthcare institutional service demand was a leading positive mechanism.
Evaluation set
Why these concepts were evaluated
This is not a ranking of every franchise that may be offered in the city.
Concepts were included when enough operating-model information existed to assign a provisional local-sensitivity profile. Unresolved inputs reduce confidence or remain conditional rather than automatically excluding a concept.
A brand’s participation in our referral network does not add points or change its position.
City-level conclusions
What stood out in our assessment
0.7 points average among 6 affected concepts
Tested rank range spans 12 positions
Executive conclusion
What the ranking means for McAllen, Texas
City Wide, Jan-Pro International, and FASTSIGNS produced the highest modeled local-alignment scores in the evaluated set. Healthcare institutional service demand was the strongest positive scored mechanism among 6 exposed concepts, adding 0.5 points on average. 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.
| Rank | Franchise | Alignment and tier | Largest advantage | Largest constraint | Evidence confidence |
|---|---|---|---|---|---|
| 1 | City WideFacility managementInvestment: $229,729–$410,730 | 71.4Tier 3 · Mixed modeled alignment | +1.4 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 2 | Jan-Pro InternationalCommercial cleaningInvestment: $130,000–$421,500 | 71.0Tier 3 · Mixed modeled alignment | +1.0 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 3 | FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285 | 70.6Tier 3 · Mixed modeled alignment | +0.6 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 4 | HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800 | 70.5Tier 3 · Mixed modeled alignment | +0.5 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 5 | ActionCOACHBusiness coachingInvestment: $71,668–$303,513 | 70.2Tier 3 · Mixed modeled alignment | +0.2 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 6 | Rainbow International RestorationRestorationInvestment: $185,336–$351,900 | 70.2Tier 3 · Mixed modeled alignment | +0.2 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 7 | Aire ServHVAC installation, repair, and maintenanceInvestment: $113,308–$271,708 | 70.0Tier 3 · Mixed modeled alignment | No material positive local adjustment | No material negative local adjustment | Moderate evidence confidence |
| 8 | Tiger AdjustersPublic insurance adjustingInvestment: $43,050–$159,500 | 70.0Tier 3 · Mixed modeled alignment | No material positive local adjustment | No material negative local adjustment | Moderate evidence confidence |
| 9 | ZOOM DRAINDrain and sewer serviceInvestment: $266,250–$570,500 | 70.0Tier 3 · Mixed modeled alignment | No material positive local adjustment | No material negative local adjustment | Moderate evidence confidence |
| 10 | Mr. RooterPlumbingInvestment: $152,900–$298,675 | 70.0Tier 3 · Mixed modeled alignment | No material positive local adjustment | No material negative local adjustment | Moderate evidence confidence |
Conditions that changed the analysis
What mattered most in McAllen, Texas
Healthcare concentration and multiple McAllen hospital and emergency sites support institutional service demand
This relationship affected 6 concepts and added 0.5 points on average among those exposed. Local evidence: Education and health services employment in June 2026: 97,800 jobs. [6] [8]
South Texas College reports about 30,000 students systemwide and three campuses in McAllen.
The approximately 30,000-student figure applies to the South Texas College system across six campuses and includes a substantial dual-credit population; it is not a count of daily consumers concentrated in one McAllen trade area. Three named campuses are in McAllen, which supports institutional-account prospecting, but campus-specific foot traffic and daypart demand must be measured before the enrollment figure is used for walk-in or lunch-demand assumptions. [11]
recurring-commercial-service
This operating-model cluster separated from the broader set because its exposure to local support and constraints differed. The strongest positive factor was target-market demand, while the main constraint was property replacement-cycle demand. [6] [8] [11] [10]
Evidence behind the city mechanisms
Healthcare concentration and multiple McAllen hospital and emergency sites support institutional service demand1 modeled effect
Three South Texas College campuses in McAllen support local institutional-account demand1 modeled effect
Specified McAllen corridor and vehicle rules can constrain service routing, loading, and curb access1 modeled effect
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.
City Wide
Initial investment: $229,729–$410,730
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 | +1.4 pts | |
| Net local movement | +1.40 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.4 |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.40 |
| Published local-market alignment | 71.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.4 pts
- Tested rank range
- #1–#12
Jan-Pro International
Initial investment: $130,000–$421,500
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 | +1.0 pts | |
| Net local movement | +1.02 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.0 |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.02 |
| Published local-market alignment | 71.0 |
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
- Adequate
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.0 pts
- Tested rank range
- #2–#14
FASTSIGNS
Initial investment: $231,226–$386,285
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 | +0.6 pts | |
| Net local movement | +0.57 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.6 |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.57 |
| 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
- Adequate
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.6 pts
- Tested rank range
- #3–#6
HomeSmiles
Initial investment: $148,110–$201,800
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 | +0.5 pts | |
| Net local movement | +0.51 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.5 |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.51 |
| 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
- Adequate
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.5 pts
- Tested rank range
- #2–#4
ActionCOACH
Initial investment: $71,668–$303,513
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 | +0.2 pts | |
| Net local movement | +0.25 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.2 |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.25 |
| 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
- Adequate
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.2 pts
- Tested rank range
- #5–#5
Rainbow International Restoration
Initial investment: $185,336–$351,900
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 |
| +0.2 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +0.18 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.2 |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.18 |
| 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
- Adequate
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.2 pts
- Tested rank range
- #6–#13
Aire Serv
Initial investment: $113,308–$271,708
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
No material scored local adjustment was identified for this concept.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | Not included in the score |
| 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
- Adequate
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #1–#7
Tiger Adjusters
Initial investment: $43,050–$159,500
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
No material scored local adjustment was identified for this concept.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | Not included in the score |
| 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
- Adequate
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #3–#8
ZOOM DRAIN
Initial investment: $266,250–$570,500
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
No material scored local adjustment was identified for this concept.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | Not included in the score |
| 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
- Adequate
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #4–#9
Mr. Rooter
Initial investment: $152,900–$298,675
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
No material scored local adjustment was identified for this concept.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | Not included in the score |
| 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
- Adequate
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #7–#10
Mister Sparky Electric
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
No material scored local adjustment was identified for this concept.
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | Not included in the score |
| 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
- Adequate
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #8–#11
Pillar To Post Home Inspectors
Initial investment: $102,690–$134,290
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
No material scored local adjustment was identified for this concept.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | Not included in the score |
| 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
- Adequate
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #9–#12
PuroClean
Initial investment: $54,575–$262,145
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
No material scored local adjustment was identified for this concept.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | Not included in the score |
| 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
- Adequate
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #10–#13
Workout Anytime
Initial investment: $1,060,850–$1,840,550
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
No material scored local adjustment was identified for this concept.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | Not included in the score |
| 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
- Adequate
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #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 mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.4 |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Measured; no meaningful local adjustment |
| 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 | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.40 |
| Published local-market alignment | 71.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Factor impact
Which local conditions changed scores or rankings?
We neutralized one factor at a time, recalculated every score, and then measured both absolute score movement and changes in rank order.
Target-market demand
We tested how much of the city’s theoretical customer and business demand remained usable after operating friction.
Why concepts react differently
We applied a measurable adjustment to 6 of 14 concepts. When we neutralized the factor and recalculated the table, 14 concepts changed position. Jan-Pro International moved from #2 to #13, the largest movement among concepts directly affected by this factor.
What we observed
- Education And Health Services Employment In June 202697,800 jobs
- Approximate South Texas College Enrollment In The 2025 2026 Catalog30,000 students approximate systemwide
- South Texas College Campuses Located In Mcallencount: 3; campuses: name: Pecan Campus, address: 3201 W Pecan Blvd, McAllen, TX, name: Technology Campus, address: 3700 W Military Hwy, McAllen, TX, name: Health Science Professions Campus, address: 1101 E Vermont Ave, McAllen, TX campuses and addresses
Concepts helped most
- Property replacement-cycle demandNo material score adjustment
- Competitive environmentNo material score adjustment
- Labor and staffing frictionNo material score adjustment
- Transportation, routing, and parkingNo material score adjustment
- Real estate and site feasibilityNo material score adjustment
- Sales and customer acquisitionNo material score adjustment
- Referral ecosystemNo material score adjustment
- Territory qualityNo material score adjustment
- Regulatory and operating frictionNo material score adjustment
Rank stability
Which positions depend most on individual assumptions?
The line shows the best and worst rank reached when one factor was removed from every concept. A narrow range indicates a more stable position.
Neutralizing a factor removes it from every concept. A concept can move down even when its own score improves because competitors may benefit more.
Original factor comparison
How each factor affected the highest-rated franchise concepts
The graph includes the top 14 concepts by local-alignment score. Only nonzero score contributions are plotted. A factor is removed when every displayed concept received 0.0 points from it. Hover or focus a concept name to highlight all of its remaining data points.
View the chart data as a table
| Concept | Target-market demand |
|---|---|
| #1 City Wide | +1.4 pts |
| #2 Jan-Pro International | +1.0 pts |
| #3 FASTSIGNS | +0.6 pts |
| #4 HomeSmiles | +0.5 pts |
| #5 ActionCOACH | +0.2 pts |
| #6 Rainbow International Restoration | +0.2 pts |
| #7 Aire Serv | — |
| #8 Tiger Adjusters | — |
| #9 ZOOM DRAIN | — |
| #10 Mr. Rooter | — |
| #11 Mister Sparky Electric | — |
| #12 Pillar To Post Home Inspectors | — |
| #13 PuroClean | — |
| #14 Workout Anytime | — |
Interpretation
How to interpret the result
City Wide, Jan-Pro International, FASTSIGNS led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to property replacement-cycle demand. The same city condition can help one operating model and constrain another, so score differences should be read through each concept's factor pattern rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for City Wide, Jan-Pro International, Rainbow International Restoration; their ranks move more widely when individual factors are neutralized.
Local evidence assessed for modeling
Category comparisons
Best franchise categories we assessed in McAllen, Texas
Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.
Best Restoration franchise opportunities we assessed in McAllen, Texas
2 Restoration concepts qualified for comparison, with scores ranging from 70.0 to 70.2. Rainbow International Restoration ranked highest at 70.2. Target-market demand added 0.1 points on average among the affected concepts.
Interpret cautiously: A 0.2-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 70.0–70.2
- Category average
- 70.1
Metric registry
The 24 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 | 150,640people | July 1, 2025 population estimate; April 1, 2020 estimate base; 2022 retail sales; 2020-2024 housing indicators | McAllen, Texas | Supports research conclusion | [5] |
| Population change from the April 2020 estimate base to July 2025 | 5.9percent | July 1, 2025 population estimate; April 1, 2020 estimate base; 2022 retail sales; 2020-2024 housing indicators | McAllen, Texas | Context only | [5] |
| Total retail sales in 2022 | 4,975,920,000usd | July 1, 2025 population estimate; April 1, 2020 estimate base; 2022 retail sales; 2020-2024 housing indicators | McAllen, Texas | Supports research conclusion | [5] |
| Estimated share of 2023 McAllen metropolitan retail activity exported to Mexican shoppers | 28.2percent of metro retail activity | Retail sales through 2023 and cross-border estimates for 2002-2023 | McAllen-Edinburg-Mission, Texas (Hidalgo County) | Supports research conclusion | [9] |
| Estimated 2023 retail sales exported to Mexican shoppers | 4,900,000,000usd approximate | Retail sales through 2023 and cross-border estimates for 2002-2023 | McAllen-Edinburg-Mission, Texas (Hidalgo County) | Supports research conclusion | [9] |
| Long-run Mexican shopper share of Texas border retail has declined relative to earlier decades | mcallen average exported share 1978 2001 percent: 35.6; mcallen average exported share 2002 2023 percent: 27.2; drivers identified: expanded retail options in northern Mexico, lengthy border crossing waits and security frictionspercent and qualitative context | Retail sales through 2023 and cross-border estimates for 2002-2023 | McAllen-Edinburg-Mission, Texas within a multi-border-metro analysis | Supports research conclusion | [9] |
| Approximate share of metropolitan workers in the health cluster in 2023 | 21percent of workers approximate | Economic and demographic profile using primarily 2023-2024 data | McAllen-Edinburg-Mission, Texas (Hidalgo County) | Used in scoring | [8] |
| Education and health services employment in June 2026 | 97,800jobs | June 2026 preliminary labor-force and nonfarm employment data | McAllen-Edinburg-Mission, Texas | Used in scoring | [6] |
| Unemployment rate in June 2026 | 7percent | June 2026 preliminary labor-force and nonfarm employment data | McAllen-Edinburg-Mission, Texas | Context only | [6] |
| Mean hourly wage across all occupations in May 2024 | mcallen msa usd per hour: 21.54; united states usd per hour: 32.66usd per hour | May 2024 occupational employment and wage estimates | McAllen-Edinburg-Mission, Texas, with U.S | Context only | [7] |
| Healthcare support occupation concentration and wage context in May 2024 | employment: 50,000; employment share percent: 17.2; mean hourly wage usd: 12.22jobs percent and usd per hour | May 2024 occupational employment and wage estimates | McAllen-Edinburg-Mission, Texas | Context only | [7] |
| Named South Texas Health System facilities located in McAllen | name: South Texas Health System Heart, address: 1900 South D Street, McAllen, TX 78503, name: South Texas Health System McAllen, address: 301 W Expressway 83, McAllen, TX 78503, name: South Texas Health System ER Ware Road, address: 3700 W Nolana Ave, McAllen, TX 78504named facilities | Current facility locations accessed August 7, 2026 | McAllen, Texas | Used in scoring | [10] |
| Approximate South Texas College enrollment in the 2025-2026 catalog | 30,000students approximate systemwide | 2025-2026 academic year; catalog effective September 1, 2025 | South Texas College system across six campuses in Hidalgo and Starr counties | Used in scoring | [11] |
| South Texas College campuses located in McAllen | count: 3; campuses: name: Pecan Campus, address: 3201 W Pecan Blvd, McAllen, TX, name: Technology Campus, address: 3700 W Military Hwy, McAllen, TX, name: Health Science Professions Campus, address: 1101 E Vermont Ave, McAllen, TXcampuses and addresses | 2025-2026 academic year; catalog effective September 1, 2025 | McAllen, Texas | Used in scoring | [11] |
| Characteristics of the NRCS McAllen soil series | drainage: well drained; permeability: moderate; typical surface and subsurface textures: fine sandy loam, sandy clay loam; scope note: The official series description covers a broader southern Rio Grande Plain geography and is not a citywide parcel map.soil characteristics | Stable soil-series description accessed August 7, 2026 | McAllen series distribution in the southern Rio Grande Plain | Context only | [12] |
| Shrink-swell indicators for the NRCS Runn soil series near McAllen | drainage: moderately well drained; permeability: slow; dry crack width inches: 0.4-1.0; dry crack depth inches: 25-40; coefficient of linear extensibility range: 0.07-0.17; type location note: Official type location is near McAllen but does not establish citywide prevalence.soil characteristics | Stable soil-series description accessed August 7, 2026 | Runn series type location near McAllen, Texas | Context only | [13] |
| McAllen industrial market indicators in Q2 2025 | net absorption sqft: 33,545; market asking rent usd per sqft: 8.43; projects under construction: 6; construction pipeline sqft minimum: 1,300,000; vacancy direction qoq: market-wide and Class A vacancy each decreased by 10 basis pointsmarket metrics | Second quarter 2025 industrial market conditions | McAllen industrial market | Context only | [14] |
| No-parking segment on McColl Road | Parking is prohibited on both sides of McColl Road from Loop 374 north to Jasmine Avenue.codified corridor rule | Current codified parking and loading rules accessed August 7, 2026 | McColl Road from Loop 374 to Jasmine Avenue, McAllen | Conditional relationship | [16] |
| North 23rd Street loading and unloading restriction window | restricted hours: 06:00-12:00; street segment: North 23rd Street from Pecan Boulevard to Expressway 83; restricted activity: stopping, standing, or parking for loading or unloading, including semitrailers and trucks, subject to the codified rulecodified corridor rule | Current codified parking and loading rules accessed August 7, 2026 | North 23rd Street from Pecan Boulevard to Expressway 83, McAllen | Conditional relationship | [16] |
| City-street parking restriction for vehicles wider than 80 inches | width threshold inches: 80; restriction: Vehicles wider than the threshold may not be parked or stationed on a city street in or adjacent to residential or commercial property under the codified rule.; temporary loading exception: Temporary loading or unloading is permitted when completed within a reasonable time under the rule.codified vehicle rule | Current codified parking and loading rules accessed August 7, 2026 | Covered McAllen city streets adjacent to residential or commercial property | Conditional relationship | [16] |
| Current McAllen sign standards vary by zoning district, sign type, and site conditions | monument sign allowed and permit requirements vary by zoning: yes; maximum height and area vary by zoning: yes; electronic message center availability varies by sign type and zoning: yes; sign permit must conform to udc and applicable site approvals: yesregulatory conditions | Unified Development Code adopted February 9, 2026 | McAllen, Texas, subject to site zoning and sign type | Conditional relationship | [17] [21] |
| Current water tapping fee schedule for existing and new taps | 5 8x3 4 inch: existing tap usd: 650, new tap usd: 1,250; 1 inch: existing tap usd: 750, new tap usd: 1,400; 1 5 inch: existing tap usd: 800, new tap usd: 1,600; 2 inch: existing tap usd: 1,000, new tap usd: 1,800; 3 inch: existing tap usd: 3,850, new tap usd: 4,400; 4 inch: existing tap usd: 5,100, new tap usd: 5,650; 6 inch: existing tap usd: 7,700, new tap usd: 8,250usd by meter and tap status | Current fee schedule enacted by Ordinance 2025-105 | McAllen Public Utility water connections subject to § 106-87 | Context only | [15] |
| Jackson Road widening project status | proposed not activetemporal status | Proposed project status accessed August 7, 2026 | Jackson Road from SH 495 to Hall Acres Road | Context only | [18] |
| Nolana Avenue widening project status | proposed not activetemporal status | Proposed project status accessed August 7, 2026 | Approximately one mile of Nolana Avenue in McAllen | Context only | [19] |
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 whose applicability is established at the report’s current geographic and operating scope.
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 71.40 after target-market demand +1.4 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
How factor rows are classified
“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page.
Model governance
How this report is calculated and corrected
Calculation controls
- Model designer
- Thomas Jepsen
No concept’s final score is manually raised or lowered after calculation. Before this template is activated, the report is reviewed for source scope, classification, arithmetic, unsupported claims, duplication, and readability.
Model history
- Model 0.9.0-calibration · August 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 claims or metrics it supports. Internal or supplied research is clearly distinguished from publicly accessible evidence.
- 1Franchise-to-city operating-fit model definitionInternal or supplied research; not publicly accessible.
- 2Franchise neighborhood operating notesInternal 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 of Municipal Structural Constraints: Cross-Jurisdictional Barrier AnalysisInternal or supplied research; not publicly accessible.
- 5QuickFacts: McAllen city, Texas
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, and Total retail sales in 2022
- 6McAllen-Edinburg-Mission, TX Economy at a Glance
Used for: Education and health services employment in June 2026 and Unemployment rate in June 2026
- 7Occupational Employment and Wages in McAllen-Edinburg-Mission — May 2024
Used for: Mean hourly wage across all occupations in May 2024 and Healthcare support occupation concentration and wage context in May 2024
- 8McAllen–Edinburg–Mission: Retail, medical hub draws on cross-border trade
Used for: Approximate share of metropolitan workers in the health cluster in 2023
- 9Mexican residents favor local retailers over cross-border shopping in Texas
Used for: Estimated share of 2023 McAllen metropolitan retail activity exported to Mexican shoppers, Estimated 2023 retail sales exported to Mexican shoppers, and Long-run Mexican shopper share of Texas border retail has declined relative to earlier decades
- 10Find a Hospital
Used for: Named South Texas Health System facilities located in McAllen
- 11South Texas College 2025-2026 Catalog
Used for: Approximate South Texas College enrollment in the 2025-2026 catalog and South Texas College campuses located in McAllen
- 12Official Series Description — MCALLEN Series
Used for: Characteristics of the NRCS McAllen soil series
- 13Official Series Description — RUNN Series
Used for: Shrink-swell indicators for the NRCS Runn soil series near McAllen
- 14McAllen Industrial Figures Q2 2025
Used for: McAllen industrial market indicators in Q2 2025
- 15Code of Ordinances § 106-87 — Water tapping fees
Used for: Current water tapping fee schedule for existing and new taps
- 16Code of Ordinances — Parking, stopping, and standing restrictions
Used for: No-parking segment on McColl Road, North 23rd Street loading and unloading restriction window, and City-street parking restriction for vehicles wider than 80 inches
- 17Unified Development Code
Used for: Current McAllen sign standards vary by zoning district, sign type, and site conditions
- 18FM 3362 / FM 2061 (Jackson Road) widening public meeting
Used for: Jackson Road widening project status
- 19Nolana Avenue proposed improvements public meeting
Used for: Nolana Avenue widening project status
- 20
- 21Development Zoning Map Service
Used for: Current McAllen sign standards vary by zoning district, sign type, and site conditions
- 22
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.















































































