70.0 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Newark, New Jersey
We compared 14 franchise concepts for Newark, New Jersey. University and government account 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
0.4 points average among 6 affected concepts
Tested rank range spans 12 positions
Executive conclusion
What the ranking means for Newark, New Jersey
City Wide, Jan-Pro International, and FASTSIGNS produced the highest modeled local-alignment scores in the evaluated set. University and government account demand was the strongest positive scored mechanism among 6 exposed concepts, adding 0.4 points on average. City Wide was especially relationship-sensitive: removing university and government account demand moved it from #1 to #12 in the full model rerun. 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 | 70.7Tier 3 · Mixed modeled alignment | +0.7 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 2 | Jan-Pro InternationalCommercial cleaningInvestment: $130,000–$421,500 | 70.5Tier 3 · Mixed modeled alignment | +0.5 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 3 | FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285 | 70.4Tier 3 · Mixed modeled alignment | +0.4 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 4 | HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800 | 70.2Tier 3 · Mixed modeled alignment | +0.2 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 | 70.1Tier 3 · Mixed modeled alignment | +0.1 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 Newark, New Jersey
University Heights contains two large research-university account bases
This relationship affected 6 concepts and added 0.4 points on average among those exposed. Local evidence: Rutgers University–Newark total enrollment shown on current facts page: 11,686 students. [7] [8]
Newark has a large resident base, more than $10 billion in 2022 retail sales, and a 2025 retail-opportunity study that identifies unmet demand in selected corridors.
The corridor study itself shows that retail leakage and surplus differ sharply by district and warns that leakage does not necessarily translate into opportunity. A citywide growth or leakage narrative therefore cannot substitute for category-level trade-area analysis, access conditions, and the exact Newark submarket. [4] [6]
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. [8] [7]
Evidence behind the city mechanisms
University Heights contains two large research-university account bases1 modeled effect
Historic-district and landmark exterior work can require preservation review and additional sign documentation1 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 |
| +0.7 pts |
| Net local movement | +0.73 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 | +0.7 |
| 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 | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.73 |
| 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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.7 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 |
| +0.5 pts |
| Net local movement | +0.53 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 | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.53 |
| Published local-market alignment | 70.5 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- 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–#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 |
| +0.4 pts |
| Regulatory and operating friction | Signage and prototype adaptation burden EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +0.35 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 | +0.4 |
| 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 | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.35 |
| 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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.4 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 |
| +0.2 pts |
| Net local movement | +0.24 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 | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.24 |
| Published local-market alignment | 70.2 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- 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
- #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 | +0.22 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 | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.22 |
| 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
- Strong
- Factor Research Coverage
- Adequate
- 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 |
| +0.1 pts |
| Net local movement | +0.09 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 | +0.1 |
| 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 | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.09 |
| Published local-market alignment | 70.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.1 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 | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.00 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- 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 | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.00 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- 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 | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.00 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- 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 | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.00 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- 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 | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.00 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- 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 | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.00 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- 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 | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.00 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- 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 | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.00 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- 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 | +0.7 |
| 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 | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.73 |
| 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.
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. City Wide moved from #1 to #12, the largest movement among concepts directly affected by this factor.
What we observed
- Rutgers University–newark Total Enrollment Shown On Current Facts Page11,686 students
- Rutgers University–newark Faculty And Staff Shown On Current Facts Page2,528 faculty and staff
- Njit Total Enrollment Reported On Current Facts Page12,000 students minimum
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.
Score-changing factors
Factors that changed the calculated scores
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 | +0.7 pts |
| #2 Jan-Pro International | +0.5 pts |
| #3 FASTSIGNS | +0.4 pts |
| #4 HomeSmiles | +0.2 pts |
| #5 ActionCOACH | +0.2 pts |
| #6 Rainbow International Restoration | +0.1 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.
Category comparisons
Best franchise categories we assessed in Newark, New Jersey
Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.
Limited comparison: Restoration franchise opportunities assessed in Newark, New Jersey
2 Restoration concepts qualified for comparison, with scores ranging from 70.0 to 70.1. Rainbow International Restoration ranked highest at 70.1.
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
- 70.0–70.1
- Category average
- 70.0
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 | 323,808people | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 Economic Census values | Newark, New Jersey | Supports research conclusion | [4] |
| Population change from the April 2020 estimate base to July 2025 | 4percent | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 Economic Census values | Newark, New Jersey | Context only | [4] |
| Estimated households in the 2020-2024 period | 113,384households | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 Economic Census values | Newark, New Jersey | Context only | [4] |
| Owner-occupied housing unit rate | 24.4percent | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 Economic Census values | Newark, New Jersey | Context only | [4] |
| Median gross rent | 1,392USD per month | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 Economic Census values | Newark, New Jersey | Context only | [4] |
| Persons in poverty | 23.4percent | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 Economic Census values | Newark, New Jersey | Context only | [4] |
| Total retail sales in 2022 | 10,388,429,000USD | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 Economic Census values | Newark, New Jersey | Supports research conclusion | [4] |
| Health care and social assistance receipts/revenue in 2022 | 3,374,725,000USD | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 Economic Census values | Newark, New Jersey | Context only | [4] |
| Transportation and warehousing receipts/revenue in 2022 | 11,908,960,000USD | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 Economic Census values | Newark, New Jersey | Context only | [4] |
| Mean travel time to work for workers age 16 years and over | 32.6minutes | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 Economic Census values | Newark, New Jersey | Context only | [4] |
| Rutgers University–Newark total enrollment shown on current facts page | 11,686students | 2025-2026 academic-year facts displayed in 2026 | Rutgers University–Newark, Newark, New Jersey | Used in scoring | [7] |
| Rutgers University–Newark faculty and staff shown on current facts page | 2,528faculty and staff | 2025-2026 academic-year facts displayed in 2026 | Rutgers University–Newark, Newark, New Jersey | Used in scoring | [7] |
| NJIT total enrollment reported on current facts page | 12,000students minimum | 2025-2026 institutional facts | New Jersey Institute of Technology, Newark, New Jersey | Used in scoring | [8] |
| NJIT full-time employees reported on current facts page | 1,300employees minimum | 2025-2026 institutional facts | New Jersey Institute of Technology, Newark, New Jersey | Used in scoring | [8] |
| Retail demand balance differs materially across five studied Newark commercial districts | Bergen Lyons Clinton unmet demand millions USD: 40; Partnership West unmet demand millions USD: 304; Arts and Education retail surplus millions USD: 820; Bloomfield Ave Lower Broadway unmet demand millions USD: 25; Ironbound retail surplus millions USD: 24USD millions by district | Report published August 2025; corridor demand, supply, leakage, surplus, and visit analyses | Five Newark commercial districts studied by Invest Newark | Conditional relationship | [6] |
| New Jersey minimum wage for most employees effective January 1, 2026 | 15.92USD per hour | Rates effective January 1, 2026 | New Jersey | Context only | [9] |
| Mean hourly wages for selected major occupational groups in the New York-Newark-Jersey City MSA | food preparation and serving related: 22.22; building and grounds cleaning and maintenance: 23.02; transportation and material moving: 27.92; installation maintenance and repair: 34.5USD per hour | May 2025 | New York-Newark-Jersey City, NY-NJ MSA | Context only | [10] |
| Cushman & Wakefield Port Region industrial statistics in Q2 2026 | inventory sqft: 98,252,766; overall vacancy rate percent: 11.6; ytd leasing activity sqft: 2,007,179; current quarter net absorption sqft: -977,209; warehouse distribution net asking rent usd psf year: 18.85mixed | Q2 2026 and year-to-date 2026 | Cushman & Wakefield Port Region, New Jersey | Context only | [11] |
| Newark curb-loading permits have annual fees by zone and impose a 30-minute attended loading limit | citywide nonmetered per 20ft USD: 150; citywide metered per space USD: 400; downtown nonmetered per 20ft USD: 250; downtown metered per space USD: 600; maximum loading minutes: 30permit fees and minutes | Current form indexed in 2026 | Newark citywide, with separate Downtown zone | Conditional relationship | [12] |
| Street sweeping is scheduled by ward on weekdays, with Downtown and city corridors swept Friday | monday: South, Central, and West Wards; tuesday: South, Central, and West Wards alternate side; wednesday: North, East, and Lower West; thursday: North, East, and Lower West alternate side; friday: City corridors, City aisles, and Downtown Districtweekly schedule | Current weekly street-sweeping schedule accessed August 2026 | Newark, New Jersey | Conditional relationship | [13] |
| Newark historic resources are subject to preservation review intended to protect against demolition and unsympathetic alterations; the available application packet requires sign drawings for sign applications | yescondition present | Current page accessed August 2026 | Newark designated landmarks and historic districts | Conditional relationship | [14] [15] |
| City vendors must hold a New Jersey Business Registration Certificate and compete through Bid, RFP, or RFQ processes using the City e-procurement system | yesprocess requirement | Current procurement workflow accessed August 2026 | City of Newark procurement | Context only | [16] |
| AirTrain Newark guideway construction is active; weekday outages between P4 and the Airport Train Station are mitigated by shuttle buses and may add up to 15 minutes during outage periods | project cost USD: 3,500,000,000; additional travel time minutes up to: 15; weekday outage segment: P4 to Newark Liberty International Airport Train Station; further outages planned years: 2,027, 2,028mixed | Active 2026 construction phase with additional outages planned in 2027 and 2028 | Newark Liberty International Airport and Airport Train Station | Context only | [17] |
| City of Newark reported that every known lead service line had been removed, after replacing more than 23,000 lines | known lead lines status: removed; lines replaced more than: 23,000status and count | Lead service line replacement status as of December 2024 | Newark, New Jersey | Context only | [18] |
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 70.73 after target-market demand +0.7 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. Reports are checked for source scope, classification, arithmetic, unsupported claims, duplication, and readability before publication.
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
Local evidence supporting this report
The city page keeps the local sources used for its visible findings and metrics. Franchise-source provenance stays with the underlying franchise research rather than being duplicated across every city page.
- 1Supplied multi-city structural franchise research docketInternal or supplied research; not publicly accessible.
- 2Structural Constraints and Hidden Costs: A Forensic Interrogation of Municipal GeographiesInternal or supplied research; not publicly accessible.
- 3Franchise data - remake - 142(2).csvInternal or supplied research; not publicly accessible.
- 4QuickFacts: Newark city, New Jersey
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Estimated households in the 2020-2024 period, Owner-occupied housing unit rate, and Median gross rent
- 5
- 6Retail Demand & Opportunity on Newark's Commercial Corridors
Used for: Retail demand balance differs materially across five studied Newark commercial districts
- 7Newark By The Numbers
Used for: Rutgers University–Newark total enrollment shown on current facts page and Rutgers University–Newark faculty and staff shown on current facts page
- 8Key Facts
Used for: NJIT total enrollment reported on current facts page and NJIT full-time employees reported on current facts page
- 9New Jersey’s Minimum Wage to Increase to $15.92/Hour for Most Employees on Jan. 1
Used for: New Jersey minimum wage for most employees effective January 1, 2026
- 10Occupational Employment and Wages in New York-Newark-Jersey City — May 2025
Used for: Mean hourly wages for selected major occupational groups in the New York-Newark-Jersey City MSA
- 11New Jersey Industrial MarketBeat Q2 2026
Used for: Cushman & Wakefield Port Region industrial statistics in Q2 2026
- 12Curb Loading Zone Application
Used for: Newark curb-loading permits have annual fees by zone and impose a 30-minute attended loading limit
- 13City Cleanliness
Used for: Street sweeping is scheduled by ward on weekdays, with Downtown and city corridors swept Friday
- 14Landmarks & Historic Preservation
Used for: Newark historic resources are subject to preservation review intended to protect against demolition and unsympathetic alterations; the available application packet requires sign drawings for sign applications
- 15Newark Landmarks and Historic Preservation Commission Application Requirements
Used for: Newark historic resources are subject to preservation review intended to protect against demolition and unsympathetic alterations; the available application packet requires sign drawings for sign applications
- 16Procurement Resources
Used for: City vendors must hold a New Jersey Business Registration Certificate and compete through Bid, RFP, or RFQ processes using the City e-procurement system
- 17Port Authority Advances $3.5 Billion AirTrain Newark Replacement Project With Start of Guideway Construction
Used for: AirTrain Newark guideway construction is active; weekday outages between P4 and the Airport Train Station are mitigated by shuttle buses and may add up to 15 minutes during outage periods
- 18How Newark is Leaps Ahead of the EPA’s New Lead and Copper Rule
Used for: City of Newark reported that every known lead service line had been removed, after replacing more than 23,000 lines
- 19
- 20
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.















































































