69.0 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Memphis, Tennessee
We ranked 14 franchise concepts for Memphis, Tennessee 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
1.2 points average among 10 affected concepts
0.7 points average reduction among 9 affected concepts
Tested rank range spans 11 positions
Executive conclusion
What the ranking means for Memphis, Tennessee
Our Memphis, Tennessee 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. FASTSIGNS, City Wide, and ActionCOACH produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 10 concepts and added 1.2 points on average among them. Labor and staffing friction was the broadest negative pressure, reducing the 9 exposed concepts by 0.7 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 | FASTSIGNSSigns and graphics | 72.3Tier 2 · Favorable modeled alignment | +2.3 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 2 | City WideFacility management | 72.1Tier 2 · Favorable modeled alignment | +2.5 ptsTarget-market demand | -0.4 ptsLabor and staffing friction | Moderate evidence confidence |
| 3 | ActionCOACHBusiness coaching | 72.0Tier 3 · Mixed modeled alignment | +2.1 ptsTarget-market demand | -0.1 ptsLabor and staffing friction | Moderate evidence confidence |
| 4 | HomeSmilesProperty maintenance services | 70.8Tier 3 · Mixed modeled alignment | +1.4 ptsTarget-market demand | -0.5 ptsLabor and staffing friction | Moderate evidence confidence |
| 5 | ZOOM DRAINDrain and sewer service | 70.5Tier 3 · Mixed modeled alignment | +0.5 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 6 | Mr. RooterPlumbing | 70.4Tier 3 · Mixed modeled alignment | +0.4 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 7 | Jan-Pro InternationalCommercial cleaning | 70.3Tier 3 · Mixed modeled alignment | +2.2 ptsTarget-market demand | -2.0 ptsLabor and staffing friction | Moderate evidence confidence |
| 8 | Aire ServHVAC installation, repair, and maintenance | 70.2Tier 3 · Mixed modeled alignment | +0.4 ptsTarget-market demand | -0.2 ptsLabor and staffing friction | Moderate evidence confidence |
| 9 | Pillar To Post Home InspectorsHome inspection | 70.2Tier 3 · Mixed modeled alignment | +0.2 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 10 | Tiger AdjustersPublic insurance adjusting | 70.2Tier 3 · Mixed modeled alignment | +0.3 ptsTarget-market demand | -0.1 ptsLabor and staffing friction | 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 | Labor and staffing friction |
|---|---|---|
| #1 FASTSIGNS | +2.3 pts | — |
| #2 City Wide | +2.5 pts | -0.4 pts |
| #3 ActionCOACH | +2.1 pts | -0.1 pts |
| #4 HomeSmiles | +1.4 pts | -0.5 pts |
| #5 ZOOM DRAIN | +0.5 pts | — |
| #6 Mr. Rooter | +0.4 pts | — |
| #7 Jan-Pro International | +2.2 pts | -2.0 pts |
| #8 Aire Serv | +0.4 pts | -0.2 pts |
| #9 Pillar To Post Home Inspectors | +0.2 pts | — |
| #10 Tiger Adjusters | +0.3 pts | -0.1 pts |
| #11 Mister Sparky Electric | — | — |
| #12 PuroClean | — | -0.9 pts |
| #13 Workout Anytime | — | -1.1 pts |
| #14 Rainbow International Restoration | — | -1.1 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 FASTSIGNS
This example uses the same ledger shown for every concept and must reconcile exactly to the published score.
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.3 |
| Property replacement-cycle demand | Depends on the specific site, territory, or operating condition |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Not included in the score |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| 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 | 72.31 |
| Published local-market alignment | 72.3 |
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
FASTSIGNS, City Wide, ActionCOACH led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to labor and staffing friction. The same city condition can help one operating model and constrain another, so score differences should be read through each concept's factor pattern rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for City Wide, HomeSmiles, ZOOM DRAIN; 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 10 of 14 concepts. When we neutralized the factor and recalculated the table, 13 concepts changed position. City Wide moved from #2 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 9 of 14 concepts. When we neutralized the factor and recalculated the table, 13 concepts changed position. Jan-Pro International moved from #7 to #3, the largest movement among concepts directly affected by this factor.
Concepts challenged most
- Property replacement-cycle demandNo material score adjustment
- Competitive environmentNo material score adjustment
- Transportation, routing, and parkingNo material score adjustment
- Real estate and site feasibilityNo material score adjustment
- Sales and customer acquisitionNo material score adjustment
- 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 Memphis, Tennessee
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 Memphis, Tennessee
2 Restoration concepts qualified for comparison, with scores ranging from 68.9 to 69.1. PuroClean ranked highest at 69.1. Labor and staffing friction reduced the exposed concepts by 1 point on average.
Interpret cautiously: A 0.2-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 68.9–69.1
- Category average
- 69.0
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.
FASTSIGNS
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 | +2.3 |
| Property replacement-cycle demand | Depends on the specific site, territory, or operating condition |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Not included in the score |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| 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 | 72.31 |
| Published local-market alignment | 72.3 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.3 pts
- Tested rank range
- #1–#2
Most important next check
Which local customer verticals are expected to generate repeat signage and graphics work for FASTSIGNS?
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 | +2.5 |
| Property replacement-cycle demand | Depends on the specific site, territory, or operating condition |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | Not included in the score |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| 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 | 72.13 |
| Published local-market alignment | 72.1 |
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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.5 pts
- Tested rank range
- #1–#9
Most important next check
How many qualified facility and property-management accounts must be reachable for City Wide to support its local contract pipeline?
ActionCOACH
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.1 |
| Property replacement-cycle demand | Depends on the specific site, territory, or operating condition |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.1 |
| Transportation, routing, and parking | Not included in the score |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| 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 | 72.00 |
| Published local-market alignment | 72.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.1 pts
- Tested rank range
- #3–#6
Most important next check
Which business-owner segments are expected to produce the most repeatable coaching demand for ActionCOACH?
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 | +1.4 |
| Property replacement-cycle demand | Depends on the specific site, territory, or operating condition |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.5 |
| Transportation, routing, and parking | Not included in the score |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| 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 | 70.84 |
| Published local-market alignment | 70.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.4 pts
- Tested rank range
- #4–#10
Most important next check
How many qualified facility and property-management accounts must be reachable for HomeSmiles to support its local contract pipeline?
ZOOM DRAIN
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.5 |
| Property replacement-cycle demand | Depends on the specific site, territory, or operating condition |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Not included in the score |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| 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 | 70.49 |
| 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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.5 pts
- Tested rank range
- #1–#6
Most important next check
Which territory boundaries allow ZOOM DRAIN to meet response-time expectations without excessive cross-city travel?
Mr. Rooter
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 | +0.4 |
| Property replacement-cycle demand | Depends on the specific site, territory, or operating condition |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Not included in the score |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| 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 | 70.36 |
| 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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.4 pts
- Tested rank range
- #3–#8
Most important next check
Which ZIP codes and appointment density assumptions define Mr. Rooter's practical service territory?
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 | Depends on the specific site, territory, or operating condition |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.0 |
| Transportation, routing, and parking | Not included in the score |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| 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 | 70.26 |
| Published local-market alignment | 70.3 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.2 pts
- Tested rank range
- #3–#14
Most important next check
What concentration of recurring commercial accounts is required for Jan-Pro International to build an efficient local book of business?
Aire Serv
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 | +0.4 |
| Property replacement-cycle demand | Depends on the specific site, territory, or operating condition |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.2 |
| Transportation, routing, and parking | Not included in the score |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| 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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.4 pts
- Tested rank range
- #7–#8
Most important next check
Which ZIP codes and appointment density assumptions define Aire Serv's practical service territory?
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 | +0.2 |
| Property replacement-cycle demand | Depends on the specific site, territory, or operating condition |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Not included in the score |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| 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 | 70.19 |
| 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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.2 pts
- Tested rank range
- #5–#10
Most important next check
Which transaction corridors and referral markets would define Pillar To Post Home Inspectors's practical inspection territory?
Tiger Adjusters
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 | Depends on the specific site, territory, or operating condition |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.1 |
| Transportation, routing, and parking | Not included in the score |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| 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 | 70.18 |
| Published local-market alignment | 70.2 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.3 pts
- Tested rank range
- #7–#10
Most important next check
Which ZIP codes and appointment density assumptions define Tiger Adjusters's practical service territory?
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 | Depends on the specific site, territory, or operating condition |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Not included in the score |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| 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
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #4–#11
Most important next check
Which ZIP codes and appointment density assumptions define Mister Sparky Electric's practical service territory?
PuroClean
Rank sensitivity: Stable
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Depends on the specific site, territory, or operating condition |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.9 |
| Transportation, routing, and parking | Not included in the score |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| 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 | 69.07 |
| Published local-market alignment | 69.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.9 pts
- Tested rank range
- #11–#12
Most important next check
Which technical roles are hardest to staff for PuroClean, and what training pipeline reduces that exposure?
Workout Anytime
Rank sensitivity: Stable
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Depends on the specific site, territory, or operating condition |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.1 |
| Transportation, routing, and parking | Not included in the score |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| 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 | 68.92 |
| Published local-market alignment | 68.9 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.1 pts
- Tested rank range
- #12–#13
Most important next check
What manager profile and compensation range does Workout Anytime assume before the owner can step back from daily operations?
Rainbow International Restoration
Rank sensitivity: Stable
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Depends on the specific site, territory, or operating condition |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.1 |
| Transportation, routing, and parking | Not included in the score |
| Real estate and site feasibility | Measured; no meaningful local adjustment |
| 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 | 68.91 |
| Published local-market alignment | 68.9 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.1 pts
- Tested rank range
- #13–#14
Most important next check
What opening staffing ratio, wage range, and retention plan does Rainbow International Restoration assume for frontline roles?
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Metric registry
The 28 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 | 609,647people | July 1, 2025 population estimate; 2020-2024 ACS measures; 2022 Economic Census measures | Memphis, Tennessee | Evidence for Target-market demand, Territory quality | [5] |
| Population change from April 2020 estimate base to July 2025 | -3percent | July 1, 2025 population estimate; 2020-2024 ACS measures; 2022 Economic Census measures | Memphis, Tennessee | Evidence for Target-market demand | [5] |
| Number of households in the 2024 ACS 1-year estimate | 250,830households | 2024 American Community Survey 1-year estimates | Memphis, Tennessee | Evidence for Target-market demand, Territory quality | [6] |
| Number of housing units in the 2024 ACS 1-year estimate | 291,759housing units | 2024 American Community Survey 1-year estimates | Memphis, Tennessee | Evidence for Target-market demand, Property replacement-cycle demand, Territory quality | [6] |
| Owner-occupied housing unit rate | 44.9percent | July 1, 2025 population estimate; 2020-2024 ACS measures; 2022 Economic Census measures | Memphis, Tennessee | Evidence for Target-market demand, Property replacement-cycle demand | [5] |
| Median household income | 52,679usd per year | 2024 American Community Survey 1-year estimates | Memphis, Tennessee | Evidence for Target-market demand | [6] |
| Persons below the poverty line | 24percent of people | 2024 American Community Survey 1-year estimates | Memphis, Tennessee | Evidence for Target-market demand | [6] |
| Transportation and warehousing receipts or revenue | 10,716,526,000usd | July 1, 2025 population estimate; 2020-2024 ACS measures; 2022 Economic Census measures | Memphis, Tennessee | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition | [5] |
| Health care and social assistance receipts or revenue | 8,995,637,000usd | July 1, 2025 population estimate; 2020-2024 ACS measures; 2022 Economic Census measures | Memphis, Tennessee | Evidence for Target-market demand, Referral ecosystem | [5] |
| Mean travel time to work | 21.4minutes | 2024 American Community Survey 1-year estimates | Memphis, Tennessee | Evidence for Transportation, routing, and parking, Territory quality | [6] |
| Transportation and material moving share of metropolitan employment | 17.1percent of employment | May 2025 | Memphis, TN-MS-AR MSA | Evidence for Labor and staffing friction, Target-market demand | [7] |
| Transportation and material moving employment | 104,600jobs | May 2025 | Memphis, TN-MS-AR MSA | Evidence for Labor and staffing friction, Target-market demand | [7] |
| Installation, maintenance, and repair mean hourly wage | 30.38usd per hour | May 2025 | Memphis, TN-MS-AR MSA | Evidence for Labor and staffing friction | [7] |
| FedEx employees at the Memphis airport hub | 11,000employees minimum | Current operating profile accessed August 2026 | FedEx Memphis hub at Memphis International Airport | Evidence for Labor and staffing friction, Target-market demand | [10] |
| FedEx Memphis hub operating scale | flights per day approximate: 400; packages per hour minimum: 180,000; documents per hour minimum: 245,000; airport lease area sqft minimum: 34,000,000mixed operating metrics | Current operating profile accessed August 2026 | FedEx Memphis hub at Memphis International Airport | Evidence for Target-market demand, Labor and staffing friction | [10] |
| Cargo handled at Memphis International Airport in 2025 | 6.54billion pounds | Calendar year 2025 | Memphis International Airport | Evidence for Target-market demand | [11] |
| Passengers served at Memphis International Airport in 2025 | 4,751,026passengers | Calendar year 2025 | Memphis International Airport | Evidence for Target-market demand | [11] |
| Industrial vacancy rate | 5.6percent | Q2 2026 | Memphis industrial market | Evidence for Real estate and site feasibility | [8] |
| Average industrial asking rent | 4.75usd per square foot per year | Q2 2026 | Memphis industrial market | Evidence for Real estate and site feasibility | [8] |
| Class A options in the 50,000 to 250,000 square-foot range | 25options minimum | Q2 2026 | Memphis industrial market, 50,000-250,000 square feet | Evidence for Real estate and site feasibility, Territory quality | [9] |
| Annual visitors in 2024 | 13.1million visitors | Calendar year 2024 | Memphis tourism market | Evidence for Target-market demand, Territory quality | [12] |
| Leisure and hospitality businesses in Shelby County | 2,300businesses minimum | Calendar year 2024 | Shelby County, Tennessee | Evidence for Target-market demand, Referral ecosystem | [12] |
| City permit workflow includes sign permits and licenses | yesboolean | Current permit framework accessed August 2026 | Memphis, Tennessee | Evidence for Regulatory and operating friction, Real estate and site feasibility | [13] |
| Sign standards vary in specified Memphis districts and overlays | districts named: Central Business Improvement District, South Central Business Improvement District, Uptown District, University District Overlaydistrict list | Sign-code amendment text; current applicability requires confirmation through Develop 901 | Specified Memphis sign-code districts and overlays | Evidence for Regulatory and operating friction, Territory quality | [14] |
| Loess covers upland areas in the southeast Memphis quadrangle to depths of 4.5 to 16 meters | minimum: 4.5; maximum: 16meters | Geologic mapping published 2003 | Southeast Memphis quadrangle, Shelby County | Evidence for Property replacement-cycle demand, Real estate and site feasibility, Territory quality | [16] |
| Institutional needs assessment identifies aging housing stock and rehabilitation need | yesdocumented finding | Memphis housing and entrepreneurship conditions assessed in 2022 | Memphis, Tennessee | Evidence for Property replacement-cycle demand | [17] |
| Memphis International Airport terminal modernization project scale | 650,000,000usd minimum project value | Multi-year terminal modernization project initiated in 2024 and ongoing in 2026 | Memphis International Airport terminal and landside area | Evidence for Transportation, routing, and parking, Target-market demand | [19] |
| City solicitations are distributed through Beacon with registration for specifications and updates | yesboolean | Current procurement process accessed August 2026 | City of Memphis procurement | Evidence for Referral ecosystem, Sales and customer acquisition | [15] |
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 5, 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.
- 1Franchise-to-City Operating-Fit Model TaxonomyInternal or supplied research; not publicly accessible.
- 2Structural Inefficiencies and Asymmetric Franchise Opportunities in Tier-1 U.S. MarketsInternal or supplied research; not publicly accessible.
- 3Forensic Audit Report: Structural Capital Constraints and Jurisdictional Risk ProfilesInternal or supplied research; not publicly accessible.
- 4Franchise neighborhood operating evidence compilationInternal or supplied research; not publicly accessible.
- 5QuickFacts: Memphis city, Tennessee
Used for: Resident population estimate on July 1, 2025, Population change from April 2020 estimate base to July 2025, Owner-occupied housing unit rate, Transportation and warehousing receipts or revenue, and Health care and social assistance receipts or revenue
- 6Memphis, TN Profile Data
Used for: Number of households in the 2024 ACS 1-year estimate, Number of housing units in the 2024 ACS 1-year estimate, Median household income, Persons below the poverty line, and Mean travel time to work
- 7Occupational Employment and Wages in Memphis, TN-MS-AR - May 2025
Used for: Transportation and material moving share of metropolitan employment, Transportation and material moving employment, and Installation, maintenance, and repair mean hourly wage
- 8Memphis Industrial Figures Q2 2026
Used for: Industrial vacancy rate and Average industrial asking rent
- 9Memphis Industrial MarketBeat Q2 2026
Used for: Class A options in the 50,000 to 250,000 square-foot range
- 10Properties and Cargo
Used for: FedEx employees at the Memphis airport hub and FedEx Memphis hub operating scale
- 11Memphis International Airport served 4.8 million passengers and handled 6.5 billion pounds of cargo in 2025
Used for: Cargo handled at Memphis International Airport in 2025 and Passengers served at Memphis International Airport in 2025
- 12Tourism Economic Impact
Used for: Annual visitors in 2024 and Leisure and hospitality businesses in Shelby County
- 13Buildings and Zoning
Used for: City permit workflow includes sign permits and licenses
- 14Memphis and Shelby County Unified Development Code - Sign Regulations
Used for: Sign standards vary in specified Memphis districts and overlays
- 15RFP/RFQ
Used for: City solicitations are distributed through Beacon with registration for specifications and updates
- 16Surficial geologic map of the southeast Memphis Quadrangle, Shelby County, Tennessee
Used for: Loess covers upland areas in the southeast Memphis quadrangle to depths of 4.5 to 16 meters
- 17Closing the Gaps Memphis Needs Assessment
Used for: Institutional needs assessment identifies aging housing stock and rehabilitation need
- 18
- 19MEM on the Move: Airport modernization construction project begins
Used for: Memphis International Airport terminal modernization project scale
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.
