69.3 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Oklahoma City, Oklahoma
We compared 14 franchise concepts for Oklahoma City, Oklahoma.
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 point average among 11 affected concepts
0.9 points average reduction among 14 affected concepts
Tested rank range spans 9 positions
Executive conclusion
What the ranking means for Oklahoma City, Oklahoma
Our Oklahoma City, Oklahoma 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, ActionCOACH, and FASTSIGNS 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 1 point on average among them. Transportation, routing, and parking was the broadest negative pressure, reducing the 14 exposed concepts by 0.9 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 | 73.0Tier 2 · Favorable modeled alignment | +2.3 ptsTarget-market demand | -0.1 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 2 | ActionCOACHBusiness coaching | 72.4Tier 2 · Favorable modeled alignment | +1.9 ptsTarget-market demand | -0.1 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 3 | FASTSIGNSSigns and graphics | 71.7Tier 3 · Mixed modeled alignment | +2.1 ptsTarget-market demand | -0.6 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 4 | Jan-Pro InternationalCommercial cleaning | 71.6Tier 3 · Mixed modeled alignment | +2.0 ptsTarget-market demand | -0.6 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 5 | HomeSmilesProperty maintenance services | 71.2Tier 3 · Mixed modeled alignment | +1.2 ptsTarget-market demand | -0.5 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 6 | Tiger AdjustersPublic insurance adjusting | 70.2Tier 3 · Mixed modeled alignment | +0.4 ptsReferral ecosystem | -0.4 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 7 | Pillar To Post Home InspectorsHome inspection | 69.9Tier 3 · Mixed modeled alignment | +0.4 ptsReferral ecosystem | -0.8 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 8 | Workout AnytimeFitness | 69.4Tier 3 · Mixed modeled alignment | No material positive local adjustment | -0.4 ptsTarget-market demand | Moderate evidence confidence |
| 9 | Rainbow International RestorationRestoration | 69.4Tier 3 · Mixed modeled alignment | +0.5 ptsReferral ecosystem | -1.2 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 10 | PuroCleanRestoration | 69.2Tier 3 · Mixed modeled alignment | +0.5 ptsReferral ecosystem | -1.4 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 | Referral ecosystem |
|---|---|---|---|---|---|
| #1 City Wide | +2.3 pts | — | — | -0.1 pts | +0.8 pts |
| #2 ActionCOACH | +1.9 pts | — | — | -0.1 pts | +0.6 pts |
| #3 FASTSIGNS | +2.1 pts | — | -0.1 pts | -0.6 pts | +0.3 pts |
| #4 Jan-Pro International | +2.0 pts | — | — | -0.6 pts | +0.2 pts |
| #5 HomeSmiles | +1.2 pts | — | -0.2 pts | -0.5 pts | +0.6 pts |
| #6 Tiger Adjusters | +0.3 pts | — | -0.1 pts | -0.4 pts | +0.4 pts |
| #7 Pillar To Post Home Inspectors | +0.2 pts | +0.2 pts | -0.1 pts | -0.8 pts | +0.4 pts |
| #8 Workout Anytime | -0.4 pts | — | — | -0.2 pts | — |
| #9 Rainbow International Restoration | — | +0.3 pts | -0.2 pts | -1.2 pts | +0.5 pts |
| #10 PuroClean | — | +0.3 pts | -0.2 pts | -1.4 pts | +0.5 pts |
| #11 ZOOM DRAIN | +0.4 pts | +0.4 pts | -0.4 pts | -1.8 pts | +0.4 pts |
| #12 Aire Serv | +0.4 pts | +0.4 pts | -0.4 pts | -1.4 pts | — |
| #13 Mr. Rooter | +0.3 pts | +0.4 pts | -0.4 pts | -1.6 pts | +0.2 pts |
| #14 Mister Sparky Electric | — | +0.3 pts | -0.4 pts | -1.2 pts | +0.1 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 City Wide
This example uses the same ledger shown for every concept and must reconcile exactly to the published score.
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | -0.1 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.8 |
| 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 | 73.00 |
| Published local-market alignment | 73.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Interpretation
How to interpret the result
City Wide, ActionCOACH, FASTSIGNS 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 FASTSIGNS, Jan-Pro International, Tiger Adjusters; 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, 9 concepts changed position. FASTSIGNS moved from #3 to #7, the largest movement among concepts directly affected by this factor.
Concepts helped most
Concepts challenged 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. The adjustments changed absolute scores without changing the order.
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, 4 concepts changed position. ZOOM DRAIN moved from #11 to #9, 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 14 of 14 concepts. When we neutralized the factor and recalculated the table, 7 concepts changed position. Workout Anytime moved from #8 to #14, the largest movement among concepts directly affected by this factor.
Concepts challenged most
Referral ecosystem
We tested whether the local professional and institutional referral ecosystem materially separated the assessed concepts.
We applied a measurable adjustment to 12 of 14 concepts. When we neutralized the factor and recalculated the table, 7 concepts changed position. PuroClean moved from #10 to #13, the largest movement among concepts directly affected by this factor.
Concepts helped most
- Competitive environmentNo material score adjustment
- Real estate and site feasibilityNo material score adjustment
- Sales and customer acquisitionNo material score adjustment
- Territory qualityNo material score adjustment
- Regulatory and operating frictionNo material score adjustment
Category comparisons
Best franchise categories we assessed in Oklahoma City, Oklahoma
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 Oklahoma City, Oklahoma
2 Restoration concepts qualified for comparison, with scores ranging from 69.2 to 69.4. Rainbow International Restoration ranked highest at 69.4. Referral ecosystem added 0.5 points on average among the affected concepts. Transportation, routing, and parking reduced the exposed concepts by 1.3 points 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
- 69.2–69.4
- Category average
- 69.3
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: 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 | 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.8 |
| 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 | 73.00 |
| Published local-market alignment | 73.0 |
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
- Strong
- 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–#1
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: 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 | +1.9 |
| 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.6 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.43 |
| Published local-market alignment | 72.4 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.9 pts
- Tested rank range
- #2–#2
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 | +2.1 |
| 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 | -0.6 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.3 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.73 |
| Published local-market alignment | 71.7 |
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
- Strong
- 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–#7
Most important next check
Which local customer verticals are expected to generate repeat signage and graphics work for FASTSIGNS?
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 | +2.0 |
| 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.2 |
| 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 | 71.64 |
| 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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.0 pts
- Tested rank range
- #3–#8
Most important next check
What concentration of recurring commercial accounts is required for Jan-Pro International to build an efficient local book of business?
HomeSmiles
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.2 |
| 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 | -0.5 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.6 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.21 |
| Published local-market alignment | 71.2 |
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
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.2 pts
- Tested rank range
- #3–#5
Most important next check
How many qualified facility and property-management accounts must be reachable for HomeSmiles to support its local contract pipeline?
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 | +0.3 |
| 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 | -0.4 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.18 |
| Published local-market alignment | 70.2 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Transportation, routing, and parking -0.4 pts
- Tested rank range
- #4–#10
Most important next check
What daily vehicle utilization and travel-time allowance are built into Tiger Adjusters's operating plan?
Pillar To Post Home Inspectors
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 | +0.2 |
| Property replacement-cycle demand | +0.2 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.1 |
| Transportation, routing, and parking | -0.8 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.88 |
| Published local-market alignment | 69.9 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Transportation, routing, and parking -0.8 pts
- Tested rank range
- #6–#7
Most important next check
What service radius and drive-time ceiling has Pillar To Post Home Inspectors validated for the proposed 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 | -0.4 |
| 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 | -0.2 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not applicable to this operating model |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.42 |
| 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
- Strong
- 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
- #5–#14
Most important next check
What trade-area boundary and population base would Workout Anytime use to evaluate the proposed location?
Rainbow International Restoration
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 | Not applicable to this operating model |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.2 |
| Transportation, routing, and parking | -1.2 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.5 |
| 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 | 69.41 |
| 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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Transportation, routing, and parking -1.2 pts
- Tested rank range
- #8–#10
Most important next check
Which ZIP codes can Rainbow International Restoration serve within its target emergency-response time under normal and peak traffic conditions?
PuroClean
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.2 |
| Transportation, routing, and parking | -1.4 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.5 |
| 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 | 69.21 |
| Published local-market alignment | 69.2 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Transportation, routing, and parking -1.4 pts
- Tested rank range
- #9–#13
Most important next check
What dispatch zones and maximum drive-time assumptions does PuroClean use for urgent service calls?
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 | +0.4 |
| Property replacement-cycle demand | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | -1.8 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | 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
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Transportation, routing, and parking -1.8 pts
- Tested rank range
- #6–#14
Most important next check
Where must ZOOM DRAIN stage crews and vehicles to protect after-hours response times across the proposed territory?
Aire Serv
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.4 |
| Property replacement-cycle demand | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | -1.4 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not applicable to this operating model |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | 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
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Transportation, routing, and parking -1.4 pts
- Tested rank range
- #9–#13
Most important next check
What daily vehicle utilization and travel-time allowance are built into Aire Serv's operating plan?
Mr. Rooter
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.3 |
| Property replacement-cycle demand | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | -1.6 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.2 |
| 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 | 68.89 |
| 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
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Transportation, routing, and parking -1.6 pts
- Tested rank range
- #11–#14
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: 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 | Not applicable to this operating model |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | -1.2 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.1 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 68.84 |
| Published local-market alignment | 68.8 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Transportation, routing, and parking -1.2 pts
- Tested rank range
- #11–#14
Most important next check
What daily vehicle utilization and travel-time allowance are built into Mister Sparky Electric's operating plan?
No franchise concepts match the selected filters.
Metric registry
The 25 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 | 719,849people | July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic data; 2020 land area and density | Oklahoma City, Oklahoma | Evidence for Target-market demand, Territory quality | [4] |
| Population change from the April 2020 estimate base to July 2025 | 5.7percent | July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic data; 2020 land area and density | Oklahoma City, Oklahoma | Evidence for Target-market demand | [4] |
| Households in the 2020-2024 ACS period | 280,065households | July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic data; 2020 land area and density | Oklahoma City, Oklahoma | Evidence for Target-market demand, Property replacement-cycle demand | [4] |
| Households added from 2019 through 2022 | 27,000households approximate | Primarily 2020-2023 ACS, CHAS, and the 2021 Housing Affordability Study, with 2025 planning conclusions | Oklahoma City, Oklahoma | Evidence for Target-market demand, Territory quality | [5] |
| Selected city economic receipts and sales in 2022 | retail sales usd: 19,578,248,000; health care and social assistance receipts usd: 11,421,562,000; transportation and warehousing receipts usd: 6,233,534,000; accommodation and food services sales usd: 2,451,641,000usd | July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic data; 2020 land area and density | Oklahoma City, Oklahoma | Evidence for Target-market demand, Referral ecosystem | [4] |
| Total nonfarm employment in June 2026 | 710,900jobs | Employment through June 2026; wages May 2025; county wages fourth quarter 2025 | Oklahoma City, OK Metropolitan Statistical Area | Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction | [6] |
| Selected metropolitan employment sectors in June 2026 | education and health services jobs: 127,800; government jobs: 127,200; trade transportation and utilities jobs: 125,800; professional and business services jobs: 91,700; leisure and hospitality jobs: 80,300; construction jobs: 36,600; manufacturing jobs: 34,700; mining and logging jobs: 10,200jobs | Employment through June 2026; wages May 2025; county wages fourth quarter 2025 | Oklahoma City, OK Metropolitan Statistical Area | Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction, Sales and customer acquisition | [6] |
| Occupied housing units paying more than 30 percent of income on housing costs | occupied units: 81,047; share: 30.42units and percent | Primarily 2020-2023 ACS, CHAS, and the 2021 Housing Affordability Study, with 2025 planning conclusions | Oklahoma City, Oklahoma | Evidence for Target-market demand, Labor and staffing friction | [5] |
| Housing units built before 1979 | housing units: 144,332; share: 53units and percent | Primarily 2020-2023 ACS, CHAS, and the 2021 Housing Affordability Study, with 2025 planning conclusions | Oklahoma City, Oklahoma | Evidence for Property replacement-cycle demand, Labor and staffing friction, Territory quality | [5] [1] |
| Housing estimated to be in serious need of repair | estimated share of housing units: 9; earlier plan reference to population share: 7percent | Primarily 2020-2023 ACS, CHAS, and the 2021 Housing Affordability Study, with 2025 planning conclusions | Oklahoma City, especially central south and northeast areas | Evidence for Property replacement-cycle demand, Labor and staffing friction, Territory quality | [5] |
| Owner- and renter-occupied units built before 1980 | owner occupied share: 47; renter occupied share: 56percent | Primarily 2020-2023 ACS, CHAS, and the 2021 Housing Affordability Study, with 2025 planning conclusions | Oklahoma City, Oklahoma | Evidence for Property replacement-cycle demand, Labor and staffing friction | [5] |
| Municipal land area and population density | land area square miles: 606.2; population per square mile: 1,123.5square miles and people per square mile | July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic data; 2020 land area and density | Oklahoma City, Oklahoma | Evidence for Transportation, routing, and parking, Territory quality, Target-market demand | [4] [1] |
| Mean travel time to work | 22.2minutes | July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic data; 2020 land area and density | Oklahoma City, Oklahoma | Evidence for Transportation, routing, and parking, Territory quality | [4] [1] |
| Oklahoma City office vacancy and asking rent in Q2 2026 | overall vacancy rate: 29; asking rent usd per square foot full service: 20.25; ytd net absorption square feet: -250,318percent usd per square foot and square feet | Second quarter 2026 | Oklahoma City general office product above 5,000 square feet | Evidence for Real estate and site feasibility, Target-market demand, Territory quality | [7] [1] |
| Office vacancy variation among listed submarkets in Q2 2026 | minimum vacancy rate: 22.6; minimum submarket: North; maximum vacancy rate: 36.6; maximum submarket: Northwest; cbd vacancy rate: 25.9; midtown vacancy rate: 29.3; west central vacancy rate: 27.9percent | Second quarter 2026 | Listed Oklahoma City-area office submarkets | Evidence for Real estate and site feasibility, Territory quality, Target-market demand | [7] |
| Overall Oklahoma City retail market conditions in Q2 2026 | inventory square feet: 100,857,751; vacancy rate: 5.8; asking rent usd per square foot per year: 16.65; under construction square feet: 703,204square feet percent and usd per square foot per year | Second quarter 2026 | Oklahoma City retail market | Evidence for Real estate and site feasibility, Target-market demand, Territory quality | [9] |
| Class A and new-construction retail pricing in Q2 2026 | class a rent usd per square foot per year nnn: 25.69; class a vacancy rate: 3.5; new construction rent range description: rates in the USD 40s per square footusd per square foot per year and percent | Second quarter 2026 | Oklahoma City Class A and new-construction retail | Evidence for Real estate and site feasibility | [9] |
| Industrial and flex inventory up to 30,000 square feet in Q2 2026 | asking rent usd per square foot per year: 9.1; vacancy rate: 6.5; existing buildings: 6,166; twelve month net absorption square feet: -230,000usd per square foot per year percent buildings and square feet | Second quarter 2026 | Broader Oklahoma City industrial and flex inventory up to 30,000 square feet | Evidence for Real estate and site feasibility, Transportation, routing, and parking, Territory quality | [8] |
| Industrial rent and vacancy range among core submarkets in Q2 2026 | vacancy rate minimum: 4.5; vacancy rate maximum: 5.4; rent minimum usd per square foot per year: 7.34; rent maximum usd per square foot per year: 9.52percent and usd per square foot per year | Second quarter 2026 | Core Oklahoma City industrial submarkets plus Edmond/North OKC and Moore/Norman | Evidence for Real estate and site feasibility, Territory quality | [8] |
| Selected Oklahoma City-area and U.S. average hourly wages in May 2025 | all occupations: oklahoma city: 29, united states: 33.54; logisticians: oklahoma city: 44.74, united states: 43.14; aircraft mechanics and service technicians: oklahoma city: 33.8, united states: 40.74; sheet metal workers: oklahoma city: 31.23, united states: 32.62; order clerks: oklahoma city: 22.13, united states: 23.19; laborers and freight stock material movers hand: oklahoma city: 18.48, united states: 20.32; fast food and counter workers: oklahoma city: 12.17, united states: 15.46usd per hour | Employment through June 2026; wages May 2025; county wages fourth quarter 2025 | Oklahoma City, OK Metropolitan Statistical Area | Evidence for Labor and staffing friction | [6] [1] |
| City vendor-registration and competitive-quote process | open market purchase competitive quote threshold usd: 5,000; registered vendor list available to departments and trusts: yes; all formal bids and rfps use bidnet direct: yesusd and process flags | Current vendor and bid process accessed August 2026 | City of Oklahoma City departments and trusts | Evidence for Referral ecosystem, Sales and customer acquisition | [15] |
| Design-district review timing and post-approval appeal period | review duration description: a few weeks to months depending on information needs and meeting dates; mandatory appeal period business days: 10process description and business days | Current process accessed August 2026 | Oklahoma City design and historic districts | Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality | [10] [2] [3] |
| Projects and signage reviewed in downtown design districts | covered actions: new construction, additions, exterior modifications, site modifications, signage, demolition requests; certificate of approval may be required: yesrequirements | Current district guidance accessed August 2026 | DBD, DTD-1, DTD-2, and Bricktown Urban Design District | Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality | [11] [12] [2] |
| Re-roofing permit threshold for one- and two-family dwellings | effective date: 2025-08-01; scope threshold square feet: 500; covered property types: single-family dwelling, two-family dwelling, duplexdate square feet and property types | Requirement effective August 1, 2025 | Oklahoma City, Oklahoma | Evidence for Regulatory and operating friction, Property replacement-cycle demand | [13] [14] |
| Natural hazards identified in Oklahoma City's hazard-mitigation framework | extreme heat, flooding, hail, high winds, lightning, tornadoes, winter weather, drought, additional values omittedhazard categories | Hazard framework in the City's sustainability and hazard-mitigation planning | Oklahoma City, Oklahoma | Evidence for Property replacement-cycle demand, Real estate and site feasibility, Regulatory and operating friction | [16] [1] |
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.
How the common baseline becomes a city-specific score
Every concept starts from the same 70.0 reference point, so differences come only from modeled local interactions. The current model caps total local movement at ±18.0 points. The score is not a percentage, probability, or estimate of investment quality.
Precision and materiality
Calculations use full-precision values. Published scores and factor contributions display one decimal place, while ranks use full precision. Effects smaller than 0.1 points are identified as below the publication threshold rather than presented as a meaningful zero.
Score tiers
How factor rows are classified
“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page.
Model governance
How this report is calculated and corrected
Calculation controls
- Model designer
- Thomas Jepsen
No concept’s final score is manually raised or lowered after calculation. Before this template is activated, the report is reviewed for source scope, classification, arithmetic, unsupported claims, duplication, and readability.
Model history
- Model 0.9.0-calibration · August 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.
- 1Structural Inefficiencies and Asymmetric Franchise Opportunities in Tier-1 U.S. MarketsInternal or supplied research; not publicly accessible.
Used for: Housing units built before 1979, Municipal land area and population density, Mean travel time to work, Oklahoma City office vacancy and asking rent in Q2 2026, and Selected Oklahoma City-area and U.S. average hourly wages in May 2025
- 2Forensic Audit Report: Structural Capital Constraints and Jurisdictional Risk ProfilesInternal or supplied research; not publicly accessible.
Used for: Design-district review timing and post-approval appeal period and Projects and signage reviewed in downtown design districts
- 3Franchise data - remake - Combine2Internal or supplied research; not publicly accessible.
Used for: Design-district review timing and post-approval appeal period
- 4QuickFacts: Oklahoma City city, Oklahoma
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Households in the 2020-2024 ACS period, Selected city economic receipts and sales in 2022, and Municipal land area and population density
- 52025-2029 Consolidated Plan and First Year Action Plan
Used for: Households added from 2019 through 2022, Occupied housing units paying more than 30 percent of income on housing costs, Housing units built before 1979, Housing estimated to be in serious need of repair, and Owner- and renter-occupied units built before 1980
- 6Oklahoma City Area Economic Summary
Used for: Total nonfarm employment in June 2026, Selected metropolitan employment sectors in June 2026, and Selected Oklahoma City-area and U.S. average hourly wages in May 2025
- 7Oklahoma City Office MarketBeat Q2 2026
Used for: Oklahoma City office vacancy and asking rent in Q2 2026 and Office vacancy variation among listed submarkets in Q2 2026
- 8Oklahoma City Industrial Market Report Q2 2026
Used for: Industrial and flex inventory up to 30,000 square feet in Q2 2026 and Industrial rent and vacancy range among core submarkets in Q2 2026
- 9Oklahoma City Retail Market Report Q2 2026
Used for: Overall Oklahoma City retail market conditions in Q2 2026 and Class A and new-construction retail pricing in Q2 2026
- 10Design Review Process
Used for: Design-district review timing and post-approval appeal period
- 11Downtown Design District
Used for: Projects and signage reviewed in downtown design districts
- 12Sign Permits
Used for: Projects and signage reviewed in downtown design districts
- 13Roofing permits required in OKC starting Aug. 1
Used for: Re-roofing permit threshold for one- and two-family dwellings
- 14Development Center
Used for: Re-roofing permit threshold for one- and two-family dwellings
- 15How to Do Business with the City of Oklahoma City
Used for: City vendor-registration and competitive-quote process
- 16adaptokc: Introduction and Process
Used for: Natural hazards identified in Oklahoma City's hazard-mitigation framework
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.
