70.6 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in El Paso, Texas
We ranked 14 franchise concepts for El Paso, Texas using local demand, labor, transportation, real estate, regulation, and source-backed evidence.
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
0.9 points average among 11 affected concepts
Tested rank range spans 12 positions
Best franchise opportunities assessed
Top 10 local-alignment scores from 14 concepts assessed
“Best” refers to modeled local operating alignment among the concepts assessed—not expected earnings, franchise-system quality, or candidate fit.
| Rank | Franchise | Alignment and tier | Largest advantage | Largest constraint | Evidence confidence |
|---|---|---|---|---|---|
| 1 | City WideFacility management | 72.7Tier 2 · Favorable modeled alignment | +2.3 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 2 | ActionCOACHBusiness coaching | 72.0Tier 2 · Favorable modeled alignment | +1.5 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 3 | Jan-Pro InternationalCommercial cleaning | 71.9Tier 3 · Mixed modeled alignment | +1.9 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 4 | FASTSIGNSSigns and graphics | 71.8Tier 3 · Mixed modeled alignment | +1.7 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 5 | HomeSmilesProperty maintenance services | 71.5Tier 3 · Mixed modeled alignment | +1.1 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 6 | ZOOM DRAINDrain and sewer service | 70.9Tier 3 · Mixed modeled alignment | +0.3 ptsProperty replacement-cycle demand | No material negative local adjustment | Moderate evidence confidence |
| 7 | Aire ServHVAC installation, repair, and maintenance | 70.7Tier 3 · Mixed modeled alignment | +0.4 ptsProperty replacement-cycle demand | No material negative local adjustment | Moderate evidence confidence |
| 8 | Mr. RooterPlumbing | 70.6Tier 3 · Mixed modeled alignment | +0.3 ptsProperty replacement-cycle demand | No material negative local adjustment | Moderate evidence confidence |
| 9 | Pillar To Post Home InspectorsHome inspection | 70.6Tier 3 · Mixed modeled alignment | +0.4 ptsReferral ecosystem | No material negative local adjustment | Moderate evidence confidence |
| 10 | Rainbow International RestorationRestoration | 70.6Tier 3 · Mixed modeled alignment | +0.4 ptsReferral ecosystem | No material negative local adjustment | Moderate evidence confidence |
Original factor comparison
How each factor affected the highest-rated franchise concepts
The graph includes the top 14 concepts by local-alignment score. Only nonzero score contributions are plotted. A factor is removed when every displayed concept received 0.0 points from it. Hover or focus a concept name to highlight all of its remaining data points.
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Referral ecosystem |
|---|---|---|---|
| #1 City Wide | +2.3 pts | — | +0.4 pts |
| #2 ActionCOACH | +1.5 pts | — | +0.6 pts |
| #3 Jan-Pro International | +1.9 pts | — | — |
| #4 FASTSIGNS | +1.7 pts | — | +0.1 pts |
| #5 HomeSmiles | +1.1 pts | — | +0.4 pts |
| #6 ZOOM DRAIN | +0.3 pts | +0.3 pts | +0.3 pts |
| #7 Aire Serv | +0.2 pts | +0.4 pts | — |
| #8 Mr. Rooter | +0.2 pts | +0.3 pts | +0.1 pts |
| #9 Pillar To Post Home Inspectors | +0.1 pts | +0.1 pts | +0.4 pts |
| #10 Rainbow International Restoration | +0.1 pts | +0.1 pts | +0.4 pts |
| #11 Tiger Adjusters | +0.2 pts | — | +0.4 pts |
| #12 PuroClean | — | +0.1 pts | +0.4 pts |
| #13 Mister Sparky Electric | — | +0.3 pts | +0.1 pts |
| #14 Workout Anytime | — | — | — |
Rank stability
Which positions depend most on individual assumptions?
The line shows the best and worst rank reached when one factor was removed from every concept. A narrow range indicates a more stable position.
Neutralizing a factor removes it from every concept. A concept can move down even when its own score improves because competitors may benefit more.
Worked score example
How we calculated City Wide
This example uses the same ledger shown for every concept and must reconcile exactly to the published score.
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | 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 | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Not included in the score |
| Full-precision calculated score | 72.67 |
| Published local-market alignment | 72.7 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Interpretation
How to interpret the result
City Wide, ActionCOACH, Jan-Pro International led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to competitive environment. The same city condition can help one operating model and constrain another, so score differences should be read through each concept's factor pattern rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for City Wide, Jan-Pro International, FASTSIGNS; their ranks move more widely when individual factors are neutralized.
Factor impact
Which local conditions changed scores or rankings?
We neutralized one factor at a time, recalculated every score, and then measured both absolute score movement and changes in rank order.
Target-market demand
We tested how much of the city’s theoretical customer and business demand remained usable after operating friction.
We applied a measurable adjustment to 11 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. Jan-Pro International moved from #3 to #13, the largest movement among concepts directly affected by this factor.
Concepts helped most
Property replacement-cycle demand
We compared the age and condition of relevant property systems with the services each concept is actually equipped to provide.
We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 5 concepts changed position. Aire Serv moved from #7 to #12, the largest movement among concepts directly affected by this factor.
Concepts helped most
Referral ecosystem
We tested whether the local professional and institutional referral ecosystem materially separated the assessed concepts.
We applied a measurable adjustment to 11 of 14 concepts. When we neutralized the factor and recalculated the table, 10 concepts changed position. Mister Sparky Electric moved from #13 to #9, the largest movement among concepts directly affected by this factor.
Concepts helped most
- 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
- Territory qualityNo material score adjustment
- Regulatory and operating frictionNo material score adjustment
Category comparisons
Best franchise categories we assessed in El Paso, 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 El Paso, Texas
2 Restoration concepts qualified for comparison, with scores ranging from 70.5 to 70.6. Rainbow International Restoration ranked highest at 70.6. Referral ecosystem added 0.4 points on average among the affected concepts.
Interpret cautiously: A 0.1-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 70.5–70.6
- Category average
- 70.6
Compare all assessed concepts
Explore the complete score calculations
14 concepts shown. Expand a concept to see how each factor was treated and the single next check most capable of changing the result.
City Wide
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | 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 | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Not included in the score |
| Full-precision calculated score | 72.67 |
| Published local-market alignment | 72.7 |
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
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.3 pts
- Tested rank range
- #1–#9
Most important next check
How many qualified facility and property-management accounts must be reachable for City Wide to support its local contract pipeline?
ActionCOACH
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.5 |
| Property replacement-cycle demand | Not applicable to this operating model |
| 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 | +0.6 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Not included in the score |
| Full-precision calculated score | 72.05 |
| 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
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.5 pts
- Tested rank range
- #2–#4
Most important next check
Which business-owner segments are expected to produce the most repeatable coaching demand for ActionCOACH?
Jan-Pro International
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.9 |
| Property replacement-cycle demand | Not applicable to this operating model |
| 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 applicable to this operating model |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Not included in the score |
| Full-precision calculated score | 71.89 |
| Published local-market alignment | 71.9 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.9 pts
- Tested rank range
- #2–#14
Most important next check
What concentration of recurring commercial accounts is required for Jan-Pro International to build an efficient local book of business?
FASTSIGNS
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.7 |
| Property replacement-cycle demand | Not applicable to this operating model |
| 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 | +0.1 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Not included in the score |
| Full-precision calculated score | 71.84 |
| Published local-market alignment | 71.8 |
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
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.7 pts
- Tested rank range
- #3–#12
Most important next check
Which local customer verticals are expected to generate repeat signage and graphics work for FASTSIGNS?
HomeSmiles
Rank sensitivity: Stable
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.1 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | 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 | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Not included in the score |
| Full-precision calculated score | 71.50 |
| Published local-market alignment | 71.5 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.1 pts
- Tested rank range
- #5–#6
Most important next check
How many qualified facility and property-management accounts must be reachable for HomeSmiles to support its local contract pipeline?
ZOOM DRAIN
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.3 |
| Property replacement-cycle demand | +0.3 |
| 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 | +0.3 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Not included in the score |
| Full-precision calculated score | 70.92 |
| 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
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.3 pts
- Tested rank range
- #1–#7
Most important next check
Where must ZOOM DRAIN stage crews and vehicles to protect after-hours response times across the proposed territory?
Aire Serv
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.2 |
| Property replacement-cycle demand | +0.4 |
| 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 applicable to this operating model |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Not included in the score |
| Full-precision calculated score | 70.67 |
| Published local-market alignment | 70.7 |
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
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.4 pts
- Tested rank range
- #6–#12
Most important next check
What daily vehicle utilization and travel-time allowance are built into Aire Serv's operating plan?
Mr. Rooter
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.2 |
| Property replacement-cycle demand | +0.3 |
| 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 | +0.1 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Not included in the score |
| Full-precision calculated score | 70.63 |
| Published local-market alignment | 70.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.3 pts
- Tested rank range
- #8–#11
Most important next check
How many field vehicles must Mr. Rooter deploy, and where would they begin and end each service day?
Pillar To Post Home Inspectors
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.1 |
| Property replacement-cycle demand | +0.1 |
| 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 | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Not included in the score |
| Full-precision calculated score | 70.63 |
| Published local-market alignment | 70.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.4 pts
- Tested rank range
- #4–#10
Most important next check
Which transaction corridors and referral markets would define Pillar To Post Home Inspectors's practical inspection territory?
Rainbow International Restoration
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.1 |
| Property replacement-cycle demand | +0.1 |
| 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 | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Not included in the score |
| Full-precision calculated score | 70.59 |
| 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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.4 pts
- Tested rank range
- #5–#11
Most important next check
Which territory boundaries allow Rainbow International Restoration to meet response-time expectations without excessive cross-city travel?
Tiger Adjusters
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.2 |
| Property replacement-cycle demand | Not applicable to this operating model |
| 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 | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Not included in the score |
| Full-precision calculated score | 70.54 |
| Published local-market alignment | 70.5 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.4 pts
- Tested rank range
- #7–#12
Most important next check
Which ZIP codes and appointment density assumptions define Tiger Adjusters's practical service territory?
PuroClean
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.1 |
| 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 | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Not included in the score |
| Full-precision calculated score | 70.52 |
| 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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.4 pts
- Tested rank range
- #3–#13
Most important next check
Which territory boundaries allow PuroClean to meet response-time expectations without excessive cross-city travel?
Mister Sparky Electric
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | 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 | +0.1 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Not included in the score |
| Full-precision calculated score | 70.35 |
| Published local-market alignment | 70.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.3 pts
- Tested rank range
- #9–#13
Most important next check
Which ZIP codes and appointment density assumptions define Mister Sparky Electric's practical service territory?
Workout Anytime
Rank sensitivity: Stable
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | 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 applicable to this operating model |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Not included in the score |
| 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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #13–#14
Most important next check
What trade-area boundary and population base would Workout Anytime use to evaluate the proposed location?
No franchise concepts match the selected filters.
Metric registry
The 32 local metrics behind this analysis
The registry exposes the raw value, period, geography, factor mapping, and source for every public metric used in the city research.
View all local metrics
| Metric | Raw value | Period | Geography | How used | Source |
|---|---|---|---|---|---|
| Resident population estimate on July 1, 2025 | 683,012people | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic data | El Paso, Texas | Evidence for Target-market demand, Territory quality | [4] |
| Population change from the April 2020 estimate base to July 2025 | 0.6percent | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic data | El Paso, Texas | Evidence for Target-market demand | [4] |
| Estimated households, 2020-2024 | 245,346households | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic data | El Paso, Texas | Evidence for Target-market demand | [4] |
| Owner-occupied housing unit rate, 2020-2024 | 60.8percent | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic data | El Paso, Texas | Evidence for Target-market demand, Property replacement-cycle demand | [4] |
| Total retail sales in 2022 | 12,694,132,000usd | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic data | El Paso, Texas | Evidence for Target-market demand | [4] |
| Total housing units in the 2024 ACS 1-year estimate | 267,769housing units | 2024 American Community Survey 1-Year Estimates | El Paso, Texas | Evidence for Property replacement-cycle demand, Target-market demand | [5] |
| Housing units built 1990 to 1999 in the 2024 ACS 1-year estimate | 33,212housing units | 2024 American Community Survey 1-Year Estimates | El Paso, Texas | Evidence for Property replacement-cycle demand | [5] |
| Housing units built 2000 to 2009 in the 2024 ACS 1-year estimate | 36,406housing units | 2024 American Community Survey 1-Year Estimates | El Paso, Texas | Evidence for Property replacement-cycle demand | [5] |
| Share of 2024 housing units built from 1990 through 2009 | 26percent of housing units | 2024 American Community Survey 1-Year Estimates | El Paso, Texas | Evidence for Property replacement-cycle demand | [5] |
| Total nonfarm employment in June 2026, preliminary and not seasonally adjusted | 365,100jobs | June 2026 preliminary labor-force and nonfarm-employment data | El Paso, TX Metropolitan Statistical Area | Evidence for Target-market demand, Labor and staffing friction, Referral ecosystem | [6] |
| Government employment in June 2026, preliminary and not seasonally adjusted | 71,900jobs | June 2026 preliminary labor-force and nonfarm-employment data | El Paso, TX Metropolitan Statistical Area | Evidence for Target-market demand, Referral ecosystem | [6] |
| Professional and business services employment in June 2026, preliminary and not seasonally adjusted | 43,900jobs | June 2026 preliminary labor-force and nonfarm-employment data | El Paso, TX Metropolitan Statistical Area | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition | [6] |
| Education and health services employment in June 2026, preliminary and not seasonally adjusted | 56,000jobs | June 2026 preliminary labor-force and nonfarm-employment data | El Paso, TX Metropolitan Statistical Area | Evidence for Target-market demand, Referral ecosystem | [6] |
| Trade, transportation, and utilities employment in June 2026, preliminary and not seasonally adjusted | 80,800jobs | June 2026 preliminary labor-force and nonfarm-employment data | El Paso, TX Metropolitan Statistical Area | Evidence for Target-market demand, Labor and staffing friction, Transportation, routing, and parking | [6] |
| Unemployment rate in June 2026, preliminary and not seasonally adjusted | 4.9percent | June 2026 preliminary labor-force and nonfarm-employment data | El Paso, TX Metropolitan Statistical Area | Evidence for Labor and staffing friction | [6] |
| Covered establishments in El Paso County in fourth quarter 2025 | 16,700establishments rounded | Fourth quarter 2025 | El Paso County, Texas | Evidence for Target-market demand, Competitive environment, Referral ecosystem, Sales and customer acquisition | [7] |
| Covered employment in El Paso County in December 2025 | 342,900jobs rounded | Fourth quarter 2025 | El Paso County, Texas | Evidence for Target-market demand, Labor and staffing friction | [7] |
| Average weekly wage in El Paso County in fourth quarter 2025 | 1,020usd per week | Fourth quarter 2025 | El Paso County, Texas | Evidence for Labor and staffing friction | [7] |
| Mean hourly wage across all occupations in May 2024 | 24.06usd per hour | May 2024 OEWS | El Paso, TX Metropolitan Statistical Area | Evidence for Labor and staffing friction | [8] |
| Selected overlapping frontline occupational-group mean wages in May 2024 | food preparation and serving: 13.19; building and grounds cleaning and maintenance: 14.07usd per hour | May 2024 OEWS | El Paso, TX Metropolitan Statistical Area | Evidence for Labor and staffing friction | [8] |
| UTEP official Fall 2025 enrollment | 26,297students | Fall 2025 official census enrollment | The University of Texas at El Paso | Evidence for Target-market demand, Referral ecosystem | [9] |
| Fort Bliss cantonment area is within El Paso city limits | yesboolean | Current installation description accessed August 2026 | Fort Bliss | Evidence for Target-market demand, Referral ecosystem, Territory quality | [10] |
| El Paso industrial market activity in second quarter 2026 | net absorption sqft: 1,600,000; under construction sqft: 6,600,000; projects under construction: 20; new starts sqft over: 1,900,000; deliveries sqft: 1,500,000; share of leasing and user sale activity above 100k sqft: more than two thirds; vacancy change quarter over quarter basis points: -30; vacancy change year over year basis points: -100mixed industrial metrics | Second quarter 2026 | El Paso industrial market | Evidence for Real estate and site feasibility, Target-market demand, Territory quality | [11] |
| Comparative national shallow-bay supply context: demand for buildings under 50,000 square feet is outstripping available supply in analyzed major U.S. markets | shallow bay building size sqft under: 50,000; direction: availability tighter than overall industrial in analyzed marketscomparative context | National shallow-bay industrial analysis through 2025 | Major U.S | Evidence for Real estate and site feasibility | [12] |
| West El Paso-area continuous and recurring project closures during summer 2026 | i10 westbound transmountain exit closed through: 2026-08-31; santiago artcraft intersection expected reopen: 2026-08-01; corridors with recurring or continuous work: I-10, SH-178 Artcraft, Loop 375 Border Highway, US-54, BU-54A Dyerstructured closure record | July 2026 closures with some continuous closures through August 2026 or further notice | West and central El Paso-area TxDOT corridors | Evidence for Transportation, routing, and parking, Territory quality | [13] |
| East El Paso-area continuous project closures extending through late 2026 | sargent major exit ramps closed through: 2026-12-31; montana joe battle through lanes closed through: 2026-12-31; montana frontage road reductions through: 2026-12-31; purple heart 375 shoulders: until further noticestructured closure record | July 2026 notices with continuous closures through December 2026 or further notice | East El Paso-area TxDOT corridors | Evidence for Transportation, routing, and parking, Territory quality | [14] |
| City of El Paso was actively issuing 2026 capital-improvement professional-services solicitations at the time of research | examples: 2026-0479R Geotechnical & Material Testing Services for EPIA, 2026-0428R On-Call Professional Services - Traffic Engineering, 2026-0427R On-Call Professional Services - Surveying, 2026-0426R On-Call Professional Services - Construction Managementsolicitation examples | Current solicitations accessed August 2026 | El Paso, Texas | Evidence for Sales and customer acquisition, Referral ecosystem, Target-market demand | [15] |
| Example City of El Paso professional-services RFQ schedule from issuance to target council approval | issued: 2026-06-04; submission deadline: 2026-06-29; ranking notification: 2026-07-10; council approval target: 2026-08procurement schedule | June-August 2026 procurement schedule | El Paso, Texas | Evidence for Sales and customer acquisition, Referral ecosystem | [16] |
| P-I Planned Industrial district imposes enclosed-building and screened-storage conditions | all uses completely enclosed: yes; open storage raw in process finished materials supplies or waste: not allowed; open storage finished or semifinished products: allowed if screened; screening wall height feet: min: 6, max: 8; parking in required front yard: not allowed; materials equipment products in required front yard: not allowedcodified requirements | Current codified ordinance text accessed August 2026 | P-I Planned Industrial, City of El Paso | Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality | [17] |
| City outdoor-storage standards apply to specified vehicles, wheeled units, materials, equipment and merchandise, with surfacing and screening requirements for covered uses | covered categories include: motor vehicles, commercial and noncommercial trucks, trailers, storage containers, equipment, materials, products, merchandise; material equipment storage screening: screen from adjacent properties and public streets under Chapter 20.16 or other Title 20 provisionscodified requirements | Current codified ordinance text accessed August 2026 | El Paso, Texas; applicability depends on use and zoning | Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality | [18] |
| City Planning & Inspections publishes sign permit, comprehensive sign plan, contractor registration, zoning and development applications | sign permit application: yes; comprehensive sign plan: yes; contractor registration application: yes; zoning and development forms: yesprocess availability | Current forms and permitting resources accessed August 2026 | El Paso, Texas | Evidence for Regulatory and operating friction | [19] |
| El Paso Water Public Service Board approved FY 2026-27 water, wastewater and stormwater budgets on January 14, 2026; the budget notice states stormwater fees will not increase | budget approved: yes; approval date: 2026-01-14; stormwater fee increase: nobudget status | Fiscal year 2026-2027 approved budgets | El Paso Water service area | Evidence for Regulatory and operating friction, Territory quality | [20] |
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.
Why every concept begins at 70.0
70.0 is a neutral display baseline shared by every concept. Local conditions can move a score by no more than 18.0 points in either direction under the current model. It 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 7, 2026Added conditional scoring gates, factor-status transparency, rank-sensitivity testing, metric registry output, and factor-impact visualization data.
Corrections policy
Corrected source, geography, or operating-profile evidence triggers a full compiler rerun so every dependent score and visual is recalculated.
Source registry
Evidence represented in this report
Each source identifies its period, scope, and the local metrics it supports. Internal or supplied research is not presented as independently accessible evidence.
- 1Structural Inefficiencies and Asymmetric Franchise Opportunities in Tier-1 U.S. MarketsInternal or supplied research; not publicly accessible.
- 2Forensic Audit of Municipal Structural Constraints: Cross-Jurisdictional Barrier AnalysisInternal or supplied research; not publicly accessible.
- 3Franchise data - remake - Combine2 (El Paso rows)Internal or supplied research; not publicly accessible.
- 4QuickFacts: El Paso city, Texas
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Estimated households, 2020-2024, Owner-occupied housing unit rate, 2020-2024, and Total retail sales in 2022
- 5B25034: Year Structure Built, 2024 ACS 1-Year Estimates
Used for: Total housing units in the 2024 ACS 1-year estimate, Housing units built 1990 to 1999 in the 2024 ACS 1-year estimate, Housing units built 2000 to 2009 in the 2024 ACS 1-year estimate, and Share of 2024 housing units built from 1990 through 2009
- 6El Paso, TX Economy at a Glance and Metropolitan Area Data
Used for: Total nonfarm employment in June 2026, preliminary and not seasonally adjusted, Government employment in June 2026, preliminary and not seasonally adjusted, Professional and business services employment in June 2026, preliminary and not seasonally adjusted, Education and health services employment in June 2026, preliminary and not seasonally adjusted, and Trade, transportation, and utilities employment in June 2026, preliminary and not seasonally adjusted
- 7County Employment and Wages in Texas — Fourth Quarter 2025
Used for: Covered establishments in El Paso County in fourth quarter 2025, Covered employment in El Paso County in December 2025, and Average weekly wage in El Paso County in fourth quarter 2025
- 8Occupational Employment and Wages in El Paso — May 2024
Used for: Mean hourly wage across all occupations in May 2024 and Selected overlapping frontline occupational-group mean wages in May 2024
- 9UTEP Enrollment Surpasses 26,000 for First Time in History
Used for: UTEP official Fall 2025 enrollment
- 10My Fort Bliss
Used for: Fort Bliss cantonment area is within El Paso city limits
- 11El Paso Industrial Figures Q2 2026
Used for: El Paso industrial market activity in second quarter 2026
- 12Shallow-Bay Industrial Availability Remains Tight Amid Strong Demand
Used for: Comparative national shallow-bay supply context: demand for buildings under 50,000 square feet is outstripping available supply in analyzed major U.S. markets
- 13El Paso District west area project, maintenance closures
Used for: West El Paso-area continuous and recurring project closures during summer 2026
- 14El Paso District east area project, maintenance closures
Used for: East El Paso-area continuous project closures extending through late 2026
- 15Capital Improvement — Solicitations
Used for: City of El Paso was actively issuing 2026 capital-improvement professional-services solicitations at the time of research
- 16Request for Statements of Qualifications 2026-0427R — On-Call Professional Services, Surveying
Used for: Example City of El Paso professional-services RFQ schedule from issuance to target council approval
- 17El Paso Code of Ordinances, Title 20 — Planned Industrial (P-I) supplemental regulations
Used for: P-I Planned Industrial district imposes enclosed-building and screened-storage conditions
- 18El Paso Code of Ordinances, Chapter 20.14 — Off-Street Parking, Loading and Storage Standards
Used for: City outdoor-storage standards apply to specified vehicles, wheeled units, materials, equipment and merchandise, with surfacing and screening requirements for covered uses
- 19Planning & Inspections — Forms & Docs
Used for: City Planning & Inspections publishes sign permit, comprehensive sign plan, contractor registration, zoning and development applications
- 20FY 2026-27 EPWater Budget Process
Used for: El Paso Water Public Service Board approved FY 2026-27 water, wastewater and stormwater budgets on January 14, 2026; the budget notice states stormwater fees will not increase
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.
