70.2 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Hartford, Connecticut
We ranked 14 franchise concepts for Hartford, Connecticut 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
0.6 points average reduction among 13 affected concepts
Tested rank range spans 11 positions
Executive conclusion
What the ranking means for Hartford, Connecticut
Our Hartford, Connecticut analysis favored concepts whose operating requirements matched the city’s strongest service-demand conditions without depending too heavily on inexpensive labor, easy routing, or low-cost commercial space. City Wide, Jan-Pro International, and ActionCOACH produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 11 concepts and added 0.9 points on average among them. Transportation, routing, and parking was the broadest negative pressure, reducing the 13 exposed concepts by 0.6 points on average. The result is not that the highest-ranked brand is universally better. It means that, under the documented city assumptions and the operating profiles available to us, its local advantages outweighed its modeled constraints more effectively. Territory boundaries, candidate capabilities, capital structure, franchise economics, current FDD disclosures, and local franchisee validation remain outside this ranking and can materially change the decision.
How this differs from a directory: the model does not award points for brand popularity, advertising placement, or referral compensation. It tests how documented local conditions interact with each concept’s operating requirements.
Best franchise opportunities assessed
Top 10 local-alignment scores from 14 concepts assessed
“Best” refers to modeled local operating alignment among the concepts assessed—not expected earnings, franchise-system quality, or candidate fit.
| Rank | Franchise | Alignment and tier | Largest advantage | Largest constraint | Evidence confidence |
|---|---|---|---|---|---|
| 1 | City WideFacility management | 72.6Tier 2 · Favorable modeled alignment | +2.7 ptsTarget-market demand | -0.1 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 2 | Jan-Pro InternationalCommercial cleaning | 71.6Tier 3 · Mixed modeled alignment | +2.2 ptsTarget-market demand | -0.6 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 3 | ActionCOACHBusiness coaching | 71.3Tier 3 · Mixed modeled alignment | +1.3 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 4 | FASTSIGNSSigns and graphics | 70.7Tier 3 · Mixed modeled alignment | +1.8 ptsTarget-market demand | -0.8 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 5 | HomeSmilesProperty maintenance services | 70.4Tier 3 · Mixed modeled alignment | +1.2 ptsTarget-market demand | -0.5 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 6 | Rainbow International RestorationRestoration | 70.2Tier 3 · Mixed modeled alignment | +1.0 ptsProperty replacement-cycle demand | -0.7 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 7 | PuroCleanRestoration | 70.2Tier 3 · Mixed modeled alignment | +1.0 ptsProperty replacement-cycle demand | -0.5 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 8 | Pillar To Post Home InspectorsHome inspection | 70.0Tier 3 · Mixed modeled alignment | +0.6 ptsProperty replacement-cycle demand | -0.6 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 9 | Aire ServHVAC installation, repair, and maintenance | 69.8Tier 3 · Mixed modeled alignment | +1.3 ptsProperty replacement-cycle demand | -0.9 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | Tiger AdjustersPublic insurance adjusting | 69.7Tier 3 · Mixed modeled alignment | +0.2 ptsTarget-market demand | -0.3 ptsTransportation, routing, and parking | 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 | Labor and staffing friction | Transportation, routing, and parking |
|---|---|---|---|---|
| #1 City Wide | +2.7 pts | — | — | -0.1 pts |
| #2 Jan-Pro International | +2.2 pts | — | — | -0.6 pts |
| #3 ActionCOACH | +1.3 pts | — | — | — |
| #4 FASTSIGNS | +1.8 pts | — | -0.2 pts | -0.8 pts |
| #5 HomeSmiles | +1.2 pts | — | -0.3 pts | -0.5 pts |
| #6 Rainbow International Restoration | +0.2 pts | +1.0 pts | -0.4 pts | -0.7 pts |
| #7 PuroClean | — | +1.0 pts | -0.4 pts | -0.5 pts |
| #8 Pillar To Post Home Inspectors | +0.1 pts | +0.6 pts | -0.1 pts | -0.6 pts |
| #9 Aire Serv | +0.2 pts | +1.3 pts | -0.9 pts | -0.8 pts |
| #10 Tiger Adjusters | +0.2 pts | — | -0.1 pts | -0.3 pts |
| #11 Workout Anytime | — | — | — | -0.4 pts |
| #12 ZOOM DRAIN | +0.3 pts | +0.8 pts | -0.8 pts | -0.9 pts |
| #13 Mr. Rooter | +0.2 pts | +0.8 pts | -0.9 pts | -0.9 pts |
| #14 Mister Sparky Electric | — | +0.8 pts | -0.9 pts | -0.8 pts |
Rank stability
Which positions depend most on individual assumptions?
The line shows the best and worst rank reached when one factor was removed from every concept. A narrow range indicates a more stable position.
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 | +2.7 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | -0.1 |
| 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 | 72.56 |
| Published local-market alignment | 72.6 |
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, Jan-Pro International, ActionCOACH led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to transportation, routing, and parking. 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, 14 concepts changed position. FASTSIGNS moved from #4 to #14, 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, 6 concepts changed position. Rainbow International Restoration moved from #6 to #9, the largest movement among concepts directly affected by this factor.
Concepts helped most
Labor and staffing friction
We compared each concept’s frontline and specialist staffing requirements with the local labor environment.
We applied a measurable adjustment to 10 of 14 concepts. When we neutralized the factor and recalculated the table, 8 concepts changed position. Aire Serv moved from #9 to #6, the largest movement among concepts directly affected by this factor.
Concepts challenged most
Transportation, routing, and parking
We recalculated route-dependent models after accounting for travel corridors, parking, and the number of productive stops they require.
We applied a measurable adjustment to 13 of 14 concepts. When we neutralized the factor and recalculated the table, 8 concepts changed position. Tiger Adjusters moved from #10 to #13, the largest movement among concepts directly affected by this factor.
Concepts challenged most
- Competitive environmentNo 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
Category comparisons
Best franchise categories we assessed in Hartford, Connecticut
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 Hartford, Connecticut
2 Restoration concepts qualified for comparison, with scores ranging from 70.2 to 70.2. Rainbow International Restoration ranked highest at 70.2. Property replacement-cycle demand added 1 point on average among the affected concepts. Transportation, routing, and parking reduced the exposed concepts by 0.6 points on average.
Interpret cautiously: A 0.0-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 70.2–70.2
- Category average
- 70.2
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 | +2.7 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | -0.1 |
| 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 | 72.56 |
| Published local-market alignment | 72.6 |
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
- Target-market demand +2.7 pts
- Tested rank range
- #1–#5
Most important next check
How many qualified facility and property-management accounts must be reachable for City Wide to support its local contract pipeline?
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 | +2.2 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | -0.6 |
| 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 | 71.60 |
| Published local-market alignment | 71.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- 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 +2.2 pts
- Tested rank range
- #2–#9
Most important next check
What concentration of recurring commercial accounts is required for Jan-Pro International to build an efficient local book of business?
ActionCOACH
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 | +1.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Not applicable to this operating model |
| 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 | 71.28 |
| Published local-market alignment | 71.3 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- 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 +1.3 pts
- Tested rank range
- #3–#4
Most important next check
Which business-owner segments are expected to produce the most repeatable coaching demand for ActionCOACH?
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 | +1.8 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.2 |
| Transportation, routing, and parking | -0.8 |
| 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
- 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 +1.8 pts
- Tested rank range
- #3–#14
Most important next check
Which use, storage, ventilation, or permit requirements apply to FASTSIGNS's proposed production or service base?
HomeSmiles
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 | +1.2 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.3 |
| Transportation, routing, and parking | -0.5 |
| 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 | 70.37 |
| 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
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.2 pts
- Tested rank range
- #5–#11
Most important next check
Which ZIP codes and appointment density assumptions define HomeSmiles's practical service 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 | +0.2 |
| Property replacement-cycle demand | +1.0 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | -0.7 |
| 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 | 70.20 |
| Published local-market alignment | 70.2 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- 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 +1.0 pts
- Tested rank range
- #2–#9
Most important next check
Which territory boundaries allow Rainbow International Restoration to meet response-time expectations without excessive cross-city travel?
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 | +1.0 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | -0.5 |
| 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 | 70.16 |
| Published local-market alignment | 70.2 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- 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 +1.0 pts
- Tested rank range
- #1–#10
Most important next check
Which territory boundaries allow PuroClean to meet response-time expectations without excessive cross-city travel?
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 | +0.6 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.1 |
| Transportation, routing, and parking | -0.6 |
| 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
- 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 +0.6 pts
- Tested rank range
- #4–#11
Most important next check
Which transaction corridors and referral markets would define Pillar To Post Home Inspectors's practical inspection 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 | +1.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.9 |
| Transportation, routing, and parking | -0.8 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.79 |
| Published local-market alignment | 69.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- 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 +1.3 pts
- Tested rank range
- #6–#12
Most important next check
Which HVAC technician specialties must Aire Serv staff first, and what recruiting and training runway is built into the opening plan?
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 | -0.1 |
| Transportation, routing, and parking | -0.3 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.70 |
| Published local-market alignment | 69.7 |
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
- Transportation, routing, and parking -0.3 pts
- Tested rank range
- #6–#13
Most important next check
Which ZIP codes and appointment density assumptions define Tiger Adjusters's practical service territory?
Workout Anytime
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 | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | -0.4 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.55 |
| Published local-market alignment | 69.6 |
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
- Transportation, routing, and parking -0.4 pts
- Tested rank range
- #7–#14
Most important next check
What trade-area boundary and population base would Workout Anytime use to evaluate the proposed location?
ZOOM DRAIN
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 | +0.3 |
| Property replacement-cycle demand | +0.8 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.8 |
| Transportation, routing, and parking | -0.9 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.40 |
| Published local-market alignment | 69.4 |
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
- Transportation, routing, and parking -0.9 pts
- Tested rank range
- #9–#12
Most important next check
Where must ZOOM DRAIN stage crews and vehicles to protect after-hours response times across the proposed territory?
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 | +0.8 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.9 |
| Transportation, routing, and parking | -0.9 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.27 |
| Published local-market alignment | 69.3 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- 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
- Transportation, routing, and parking -0.9 pts
- Tested rank range
- #10–#13
Most important next check
How many field vehicles must Mr. Rooter deploy, and where would they begin and end each service day?
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 | +0.8 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.9 |
| Transportation, routing, and parking | -0.8 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.15 |
| Published local-market alignment | 69.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- 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
- Labor and staffing friction -0.9 pts
- Tested rank range
- #10–#14
Most important next check
Which licensed roles must Mister Sparky Electric hire or contract locally, and what recruiting timeline is built into the opening plan?
No franchise concepts match the selected filters.
Metric registry
The 35 local metrics behind this analysis
The registry exposes the raw value, period, geography, factor mapping, and source for every public metric used in the city research.
View all local metrics
| Metric | Raw value | Period | Geography | How used | Source |
|---|---|---|---|---|---|
| Resident population estimate on July 1, 2025 | 121,981people | July 1, 2025 population estimate; 2020-2024 ACS housing/income; 2022 Economic Census business receipts/firms | Hartford, Connecticut | Evidence for Target-market demand, Territory quality | [4] |
| Estimated households, 2020-2024 | 49,028households | July 1, 2025 population estimate; 2020-2024 ACS housing/income; 2022 Economic Census business receipts/firms | Hartford, Connecticut | Evidence for Target-market demand, Territory quality | [4] |
| Owner-occupied housing unit rate, 2020-2024 | 25.7percent | July 1, 2025 population estimate; 2020-2024 ACS housing/income; 2022 Economic Census business receipts/firms | Hartford, Connecticut | Evidence for Target-market demand, Property replacement-cycle demand | [4] |
| Median household income in 2024 dollars, 2020-2024 | 46,411usd per household | July 1, 2025 population estimate; 2020-2024 ACS housing/income; 2022 Economic Census business receipts/firms | Hartford, Connecticut | Evidence for Target-market demand | [4] |
| Health care and social assistance receipts/revenue in 2022 | 5,682,863,000usd | July 1, 2025 population estimate; 2020-2024 ACS housing/income; 2022 Economic Census business receipts/firms | Hartford, Connecticut | Evidence for Target-market demand, Referral ecosystem | [4] |
| All employer firms, reference year 2022 | 2,261employer firms | July 1, 2025 population estimate; 2020-2024 ACS housing/income; 2022 Economic Census business receipts/firms | Hartford, Connecticut | Evidence for Target-market demand, Competitive environment, Sales and customer acquisition | [4] |
| Total retail sales in 2022 | 1,672,703,000usd | July 1, 2025 population estimate; 2020-2024 ACS housing/income; 2022 Economic Census business receipts/firms | Hartford, Connecticut | Evidence for Target-market demand | [4] |
| Share of occupied housing units built before 1950 in the City consolidated-plan table | owner occupied: 59; renter occupied: 44percent by tenure | Housing age and condition tables use 2011-2015 CHAS/ACS data | Hartford, Connecticut | Evidence for Property replacement-cycle demand, Labor and staffing friction | [5] |
| Share of occupied housing units built before 1980 in the City consolidated-plan table | owner occupied: 87; renter occupied: 84percent by tenure | Housing age and condition tables use 2011-2015 CHAS/ACS data | Hartford, Connecticut | Evidence for Property replacement-cycle demand, Labor and staffing friction | [5] |
| City planning guidance describes Hartford as containing extensive late-1800s and early-1900s historic architecture | late 1800s and early 1900s stock presentcategorical | Current guidance accessed August 7, 2026 | Hartford, Connecticut | Evidence for Property replacement-cycle demand, Regulatory and operating friction | [7] |
| 1991-2020 normal winter average maximum and minimum temperatures for the Hartford climate station | average maximum f: 38.1; average minimum f: 21.4degrees fahrenheit | Winter 2025-2026 observations with 1991-2020 normals | Hartford-area climate station (BDL) | Evidence for Property replacement-cycle demand, Transportation, routing, and parking | [9] |
| Normal winter average maximum is above 32°F while the normal average minimum is below 32°F | yesboolean | Winter 2025-2026 observations with 1991-2020 normals | Hartford-area climate station (BDL) | Evidence for Property replacement-cycle demand, Transportation, routing, and parking | [9] |
| Hartford soil series is formed in sandy glacial outwash in the Connecticut River Valley, with mean annual temperature about 50°F and precipitation about 43 inches | parent material: sandy glacial outwash; mean annual temperature f: 50; mean annual precipitation in: 43mixed | Hartford soil series description | Connecticut River Valley area of Connecticut | Evidence for Property replacement-cycle demand, Real estate and site feasibility | [8] |
| Hartford Hospital FY22 operating scale | licensed beds: 867; employees: 6,725; physicians on staff: 1,842; ed visits: 108,249mixed | FY 2022 | Hartford Hospital, Hartford, Connecticut | Evidence for Target-market demand, Labor and staffing friction, Referral ecosystem | [14] |
| Hartford HealthCare FY24 system scale | colleagues: 44,000; licensed beds: 2,488; locations: 500mixed | FY 2024 | Hartford HealthCare system; Hartford headquarters | Evidence for Target-market demand, Labor and staffing friction, Referral ecosystem | [15] |
| Connecticut minimum wage effective January 1, 2026 | 16.94usd per hour | Effective January 1, 2026 | Connecticut | Evidence for Labor and staffing friction, Regulatory and operating friction | [13] |
| CBRE Hartford industrial vacancy rate in Q2 2026 | 7.3percent | Q2 2026 | Hartford industrial market as defined by CBRE | Evidence for Real estate and site feasibility, Territory quality | [10] |
| CBRE Hartford industrial net absorption in Q2 2026 | -992,000square feet | Q2 2026 | Hartford industrial market as defined by CBRE | Evidence for Real estate and site feasibility | [10] |
| Cushman & Wakefield Central Connecticut industrial vacancy rate in Q2 2026 | 4.5percent | Q2 2026 | Central Connecticut industrial market | Evidence for Real estate and site feasibility, Territory quality | [11] |
| Hartford office new demand in Q2 2026 | 232,000square feet | Q2 2026 | Hartford office market as defined by Cushman & Wakefield | Evidence for Target-market demand, Real estate and site feasibility, Territory quality | [11] |
| Hartford Central Business District office vacancy at year-end 2025 | 31.9percent | Q4 2025 office market statistics | Hartford Central Business District | Evidence for Target-market demand, Real estate and site feasibility, Territory quality | [12] |
| Hartford non-CBD office vacancy at year-end 2025 | 5.7percent | Q4 2025 office market statistics | Hartford non-CBD | Evidence for Target-market demand, Real estate and site feasibility, Territory quality | [12] |
| Greater Hartford overall office vacancy at year-end 2025 | 20.4percent | Q4 2025 office market statistics | Greater Hartford | Evidence for Target-market demand, Real estate and site feasibility, Territory quality | [12] |
| Downtown Hartford office demand increased more than 75% year over year in 2025 despite elevated vacancy | more than 75 percent year over yearcategorical numeric bound | Q4 2025 office market statistics | Downtown Hartford | Evidence for Target-market demand, Territory quality | [12] |
| During a declared snow emergency parking ban, all on-street parking is prohibited throughout Hartford and remaining vehicles may be ticketed and towed | yesboolean | Current policy accessed August 7, 2026; 2026 ban documented on city site | Hartford, Connecticut | Evidence for Transportation, routing, and parking | [16] |
| Hartford zoning prohibits listed sign forms including animated or moving signs, vehicles as signs, portable or wheeled signs, inflatables/balloons, and off-site advertising | animated or moving, vehicle as sign, portable or wheeled, inflatable or balloon, off site advertisingprohibited sign categories | Current zoning and application guidance accessed August 7, 2026 | Hartford, Connecticut | Evidence for Regulatory and operating friction | [17] |
| Administrative planning/zoning reviews may take up to 35 days depending on request type | 35days maximum guidance | Current zoning and application guidance accessed August 7, 2026 | Hartford, Connecticut | Evidence for Regulatory and operating friction, Real estate and site feasibility | [17] |
| Historic review and approval is required before building or demolition permits for properties in Local, State, or National Historic Districts or containing a Historic Landmark | yesboolean | Current historic-review guidance accessed August 7, 2026 | Covered historic properties in Hartford | Evidence for Regulatory and operating friction, Real estate and site feasibility | [18] |
| Inland Wetlands and Watercourses permit is required for work in a wetland/watercourse or within the 100-foot upland review area of a wetland, watercourse, or floodplain | 100feet review area | Current wetlands guidance accessed August 7, 2026 | Covered Hartford sites | Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality | [19] |
| A specific Hartford Connecticut River levee project site is within FEMA Special Flood Hazard Area Zone AE with more than 1% annual flood chance | yesboolean | Current public notice accessed August 7, 2026 | Connecticut River levee project area in Hartford | Evidence for Real estate and site feasibility, Regulatory and operating friction, Territory quality | [20] |
| MDC Clean Water Project Charge for 2026 | 4.87usd per ccf | 2026 rates | MDC member-town customers including Hartford | Evidence for Regulatory and operating friction, Real estate and site feasibility | [21] |
| MDC availability/capacity analysis process for new or modified water/sewer services takes approximately 6-8 weeks after payment | minimum weeks: 6; maximum weeks: 8weeks | Current process accessed August 7, 2026 | MDC service area; combined sewer/storm-drain connections specifically include Hartford | Evidence for Regulatory and operating friction, Real estate and site feasibility | [22] |
| MDC large-diameter sewer rehabilitation is active in Central Row, Main Street, and Market Street area after beginning November 4, 2025 | temporary activecategorical | Current project information in 2026; work began November 4, 2025 | Downtown Hartford | Evidence for Transportation, routing, and parking, Real estate and site feasibility | [23] |
| City of Hartford uses a vendor portal for open bid opportunities and vendor notifications | yesboolean | Current procurement opportunities accessed August 7, 2026 | Hartford municipal procurement | Evidence for Target-market demand, Sales and customer acquisition, Referral ecosystem | [24] |
| Connecticut DAS provides state contracting opportunities and supplier resources and operates from Hartford | yesboolean | Current state procurement resources accessed August 7, 2026 | Connecticut state procurement with DAS operations in Hartford | Evidence for Target-market demand, Sales and customer acquisition, Referral ecosystem | [25] |
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.
- 1Supplied multi-city structural franchise research docket (I 52.docx)Internal 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 (1)(20260807-121951).csvInternal or supplied research; not publicly accessible.
- 4QuickFacts: Hartford city, Connecticut
Used for: Resident population estimate on July 1, 2025, Estimated households, 2020-2024, Owner-occupied housing unit rate, 2020-2024, Median household income in 2024 dollars, 2020-2024, and Health care and social assistance receipts/revenue in 2022
- 5Draft FY 2020-2024 Five Year Consolidated Plan - Hartford
Used for: Share of occupied housing units built before 1950 in the City consolidated-plan table and Share of occupied housing units built before 1980 in the City consolidated-plan table
- 6
- 7Planning & Zoning - Historic Preservation
Used for: City planning guidance describes Hartford as containing extensive late-1800s and early-1900s historic architecture
- 8Official Series Description - HARTFORD Series
Used for: Hartford soil series is formed in sandy glacial outwash in the Connecticut River Valley, with mean annual temperature about 50°F and precipitation about 43 inches
- 9Hartford CT Climate Summary for Winter 2025-2026
Used for: 1991-2020 normal winter average maximum and minimum temperatures for the Hartford climate station and Normal winter average maximum is above 32°F while the normal average minimum is below 32°F
- 10Hartford Industrial Figures Q2 2026
Used for: CBRE Hartford industrial vacancy rate in Q2 2026 and CBRE Hartford industrial net absorption in Q2 2026
- 11Hartford/New Haven MarketBeat Reports - Q2 2026
Used for: Cushman & Wakefield Central Connecticut industrial vacancy rate in Q2 2026 and Hartford office new demand in Q2 2026
- 12Selective Recovery: Downtown Hartford office market
Used for: Hartford Central Business District office vacancy at year-end 2025, Hartford non-CBD office vacancy at year-end 2025, Greater Hartford overall office vacancy at year-end 2025, and Downtown Hartford office demand increased more than 75% year over year in 2025 despite elevated vacancy
- 13Governor Lamont Announces Connecticut’s Minimum Wage Will Increase to $16.94 on January 1, 2026
Used for: Connecticut minimum wage effective January 1, 2026
- 14Hartford Hospital - FY22 Fast Facts
Used for: Hartford Hospital FY22 operating scale
- 15Hartford HealthCare - FY2024 System Facts
Used for: Hartford HealthCare FY24 system scale
- 16Snow Parking Ban
Used for: During a declared snow emergency parking ban, all on-street parking is prohibited throughout Hartford and remaining vehicles may be ticketed and towed
- 17Apply for a Sign Permit
Used for: Hartford zoning prohibits listed sign forms including animated or moving signs, vehicles as signs, portable or wheeled signs, inflatables/balloons, and off-site advertising and Administrative planning/zoning reviews may take up to 35 days depending on request type
- 18Apply for Historic Review
Used for: Historic review and approval is required before building or demolition permits for properties in Local, State, or National Historic Districts or containing a Historic Landmark
- 19Apply for a Wetlands Permit
Used for: Inland Wetlands and Watercourses permit is required for work in a wetland/watercourse or within the 100-foot upland review area of a wetland, watercourse, or floodplain
- 20City of Hartford AMTRAK Hazard Mitigation Project
Used for: A specific Hartford Connecticut River levee project site is within FEMA Special Flood Hazard Area Zone AE with more than 1% annual flood chance
- 21Explanation of Water and Sewer Charges - 2026 Member Town Customer Charges
Used for: MDC Clean Water Project Charge for 2026
- 22Availability & Capacity Analysis Request
Used for: MDC availability/capacity analysis process for new or modified water/sewer services takes approximately 6-8 weeks after payment
- 23Large Diameter Sewer Rehabilitation Phase 3A (Downtown Hartford)
Used for: MDC large-diameter sewer rehabilitation is active in Central Row, Main Street, and Market Street area after beginning November 4, 2025
- 24Development Services - Open RFPs/RFQs and PlanetBids Vendor Portal
Used for: City of Hartford uses a vendor portal for open bid opportunities and vendor notifications
- 25Connecticut Department of Administrative Services
Used for: Connecticut DAS provides state contracting opportunities and supplier resources and operates from Hartford
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.
