71.2 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Akron, Ohio
We compared 14 franchise concepts for Akron, Ohio. Professional and institutional relationship density was a leading positive mechanism. Winter route friction was a leading operating constraint.
What “best” means in this ranking“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page. It does not estimate earnings or determine which franchise is best for a particular candidate.
14Concepts evaluated
21Sources used
8Primary sources
22Local metrics
Evaluation set
Why these concepts were evaluated
This is not a ranking of every franchise that may be offered in the city.
14Concepts assessed
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 6 affected concepts
0.4 points average reduction among 12 affected concepts
Tested rank range spans 8 positions
Executive conclusion
What the ranking means for Akron, Ohio
City Wide, Jan-Pro International, and Rainbow International Restoration produced the highest modeled local-alignment scores in the evaluated set. Professional and institutional relationship density was the strongest positive scored mechanism among 8 exposed concepts, adding 0.7 points on average. Winter route friction was the broadest operating constraint, reducing exposed concepts by 0.4 points on average. These scores describe local operating alignment, not expected returns or overall franchise quality; the offered territory and franchise economics still require separate diligence.
How this differs from a directory: the model does not award points for brand popularity, advertising placement, or referral compensation. It tests how documented local conditions interact with each concept’s operating requirements.
Best franchise opportunities assessed
Top 10 local-alignment scores from 14 concepts assessed
“Best” refers to modeled local operating alignment among the concepts assessed—not expected earnings, franchise-system quality, or candidate fit.
Rankings use full-precision scores.Displayed values use one decimal place. Identical displayed scores can therefore have different ranks, and close results should be treated as effectively similar.
| Rank | Franchise | Alignment and tier | Largest advantage | Largest constraint | Evidence confidence |
|---|---|---|---|---|---|
| 1 | City WideFacility management | 73.0Tier 2 · Favorable modeled alignment | +2.1 ptsTarget-market demand | -0.1 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 2 | Jan-Pro InternationalCommercial cleaning | 71.5Tier 3 · Mixed modeled alignment | +1.5 ptsTarget-market demand | -0.3 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 3 | Rainbow International RestorationRestoration | 71.4Tier 3 · Mixed modeled alignment | +1.1 ptsProperty replacement-cycle demand | -0.5 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 4 | HomeSmilesProperty maintenance services | 71.3Tier 3 · Mixed modeled alignment | +0.8 ptsReferral ecosystem | -0.2 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 5 | ActionCOACHBusiness coaching | 71.2Tier 3 · Mixed modeled alignment | +0.9 ptsReferral ecosystem | No material negative local adjustment | Moderate evidence confidence |
| 6 | FASTSIGNSSigns and graphics | 71.2Tier 3 · Mixed modeled alignment | +0.9 ptsTarget-market demand | -0.1 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 7 | PuroCleanRestoration | 71.0Tier 3 · Mixed modeled alignment | +1.1 ptsProperty replacement-cycle demand | -0.6 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 8 | Aire ServHVAC installation, repair, and maintenance | 70.3Tier 3 · Mixed modeled alignment | +1.3 ptsProperty replacement-cycle demand | -0.5 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 9 | Pillar To Post Home InspectorsHome inspection | 70.1Tier 3 · Mixed modeled alignment | +0.6 ptsProperty replacement-cycle demand | -0.4 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 10 | Workout AnytimeFitness | 70.0Tier 3 · Mixed modeled alignment | No material positive local adjustment | No material negative local adjustment | Moderate evidence confidence |
Conditions that changed the analysis
What mattered most in Akron, Ohio
Healthcare and university networks support professional referrals while formal procurement can lengthen institutional sales cycles
This relationship affected 8 concepts and added 0.7 points on average among those exposed. Local evidence: Physicians represented by Summa Health Network: 2,300 physicians over. [12] [15]
Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction
This relationship affected 12 concepts and reduced 0.4 points on average among those exposed. Local evidence: 1991-2020 annual precipitation and snowfall normals: precipitation inches: 41.57; snowfall inches: 47.2 inches per year. [8] [9]
Akron is anchored by a major university and large healthcare systems, including Summa Health and Akron Children’s.
Institutional scale supports facility-service, institutional-account and professional-referral opportunities, but it should not be converted into a general citywide walk-in or lunch-demand assumption. Procurement and vendor credentialing can also add account-specific sales friction. [10] [3] [13] [14] [15] [11]
Compare all assessed concepts
Local impact by franchise concept
14 concepts shown. Expand a concept to see only the score-changing local factors, the most important modeled relationship, and one key diligence question before the audit ledger.
#1Tier 2 · Favorable modeled alignment73.0
City Wide
Increase +2.1 pts Target-market demandReduction -0.1 pts Transportation, routing, and parking
Rank sensitivity: Moderately sensitive
Impact summary and full calculation
Why it ranks here
Large Akron-centered healthcare institutions create recurring institutional service demand
Local evidence: Akron Children’s 2025 system scale: hospitals: 2; pediatric offices: 44; urgent cares: 5; primary and specialty locations: 50; total outpatient visits: 1,637,838 systemwide counts [13]
Local evidence: Summa Health system scale headquartered in Akron: main hospitals: 2; health centers: 20; employees minimum: 8,500; employed physicians and advanced practice providers approx: 700 organization counts [10] [3]
Why this concept reacts: High operating-model exposure through facility management service, institutional sales, and commercial cleaning service.
Modeled effect: +1.4 pts from this relationship; +2.1 pts across the full factor.
Counterfactual: Rank remains #1, but the full model rerun changes alignment by -1.4 pts.
Buyer check: How many qualified facility and property-management accounts must be reachable for City Wide to support its local contract pipeline?
Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction
Local evidence: 1991-2020 annual precipitation and snowfall normals: precipitation inches: 41.57; snowfall inches: 47.2 inches per year [8]
Local evidence: Average first fall and last spring 32°F freeze dates: average first fall freeze: October 19; average last spring freeze: April 29 calendar dates [9]
Why this concept reacts: Low operating-model exposure through service vehicle required, high daily stop count, and emergency response.
Modeled effect: -0.1 pts from this relationship; -0.1 pts across the full factor.
Counterfactual: Rank remains #1, but the full model rerun changes alignment by +0.1 pts.
Buyer check: What route-productivity assumptions has City Wide validated for the proposed territory?
Healthcare and university networks support professional referrals while formal procurement can lengthen institutional sales cycles
Local evidence: Physicians represented by Summa Health Network: 2,300 physicians over [12]
Local evidence: University of Akron competitive-bid thresholds: services over usd: 100,000; materials over usd: 75,000 usd purchase threshold [15]
Why this concept reacts: High operating-model exposure through institutional sales, long sales cycle, and sales intensive.
Why it is not in the score: The added sales-process burden depends on selling to institutional buyers and, for University of Akron competitive bidding, on purchase category and contract value thresholds.
Buyer check: What share of City Wide's local pipeline is expected from national accounts, property managers, and franchisee-generated B2B sales?
Audit layer
Full factor ledger
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 | Not included in the score |
| Transportation, routing, and parking | -0.1 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +1.0 |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 73.05 |
| 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
- 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
- #1–#3
#2Tier 3 · Mixed modeled alignment71.5
Jan-Pro International
Increase +1.5 pts Target-market demandReduction -0.3 pts Transportation, routing, and parking
Rank sensitivity: Highly sensitive
Impact summary and full calculation
Why it ranks here
Large Akron-centered healthcare institutions create recurring institutional service demand
Local evidence: Akron Children’s 2025 system scale: hospitals: 2; pediatric offices: 44; urgent cares: 5; primary and specialty locations: 50; total outpatient visits: 1,637,838 systemwide counts [13]
Local evidence: Summa Health system scale headquartered in Akron: main hospitals: 2; health centers: 20; employees minimum: 8,500; employed physicians and advanced practice providers approx: 700 organization counts [10] [3]
Why this concept reacts: Moderate operating-model exposure through commercial cleaning service, institutional sales, and facility management service.
Modeled effect: +1.0 pts from this relationship; +1.5 pts across the full factor.
Counterfactual: Without this relationship, the full model rerun moves the concept from #2 to #7.
Buyer check: What concentration of recurring commercial accounts is required for Jan-Pro International to build an efficient local book of business?
Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction
Local evidence: 1991-2020 annual precipitation and snowfall normals: precipitation inches: 41.57; snowfall inches: 47.2 inches per year [8]
Local evidence: Average first fall and last spring 32°F freeze dates: average first fall freeze: October 19; average last spring freeze: April 29 calendar dates [9]
Why this concept reacts: Low operating-model exposure through high daily stop count, service vehicle required, and emergency response.
Modeled effect: -0.3 pts from this relationship; -0.3 pts across the full factor.
Counterfactual: Without this relationship, the full model rerun moves the concept from #2 to #3.
Buyer check: How many productive stops per vehicle per day must Jan-Pro International complete for the proposed territory to work operationally?
Healthcare and university networks support professional referrals while formal procurement can lengthen institutional sales cycles
Local evidence: Physicians represented by Summa Health Network: 2,300 physicians over [12]
Local evidence: University of Akron competitive-bid thresholds: services over usd: 100,000; materials over usd: 75,000 usd purchase threshold [15]
Why this concept reacts: Moderate operating-model exposure through institutional sales, long sales cycle, and sales intensive.
Why it is not in the score: The added sales-process burden depends on selling to institutional buyers and, for University of Akron competitive bidding, on purchase category and contract value thresholds.
Buyer check: What share of Jan-Pro International's opening account base must come from local selling versus system or master-account channels?
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.5 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | -0.3 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.2 |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.50 |
| Published local-market alignment | 71.5 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.5 pts
- Tested rank range
- #2–#10
#3Tier 3 · Mixed modeled alignment71.4
Rainbow International Restoration
Increase +1.1 pts Property replacement-cycle demandReduction -0.5 pts Transportation, routing, and parking
Rank sensitivity: Highly sensitive
Impact summary and full calculation
Why it ranks here
Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction
Local evidence: 1991-2020 annual precipitation and snowfall normals: precipitation inches: 41.57; snowfall inches: 47.2 inches per year [8]
Local evidence: Average first fall and last spring 32°F freeze dates: average first fall freeze: October 19; average last spring freeze: April 29 calendar dates [9]
Why this concept reacts: Moderate operating-model exposure through restoration service, hvac service, and electrical service.
Modeled effect: +0.7 pts from this relationship; +1.1 pts across the full factor.
Counterfactual: Without this relationship, the full model rerun moves the concept from #3 to #6.
Buyer check: Which building conditions and loss events are expected to create the most restoration demand for Rainbow International Restoration?
Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction
Local evidence: 1991-2020 annual precipitation and snowfall normals: precipitation inches: 41.57; snowfall inches: 47.2 inches per year [8]
Local evidence: Average first fall and last spring 32°F freeze dates: average first fall freeze: October 19; average last spring freeze: April 29 calendar dates [9]
Why this concept reacts: Moderate operating-model exposure through service vehicle required, emergency response, and high daily stop count.
Modeled effect: -0.5 pts from this relationship; -0.5 pts across the full factor.
Counterfactual: Without this relationship, the full model rerun moves the concept from #3 to #2.
Buyer check: Which ZIP codes can Rainbow International Restoration serve within its target emergency-response time under normal and peak traffic conditions?
Authorized 2026 resurfacing creates route-specific temporary disruption risk on Vernon Odom Boulevard and Tallmadge Avenue
Local evidence: Vernon Odom Boulevard (SR 261) resurfacing authorized to proceed in 2026: segment 1: I-77 to Rhodes Avenue; segment 2: Romig Road to Medina Line Road; ordinance: 90-2026 project segments [17]
Local evidence: Tallmadge Avenue resurfacing participatory agreement authorized in 2026: yes project authorized [18]
Why this concept reacts: Moderate operating-model exposure through emergency response, service vehicle required, and high daily stop count.
Why it is not in the score: The effect depends on whether a franchise route, customer base, deliveries, or site access materially uses the affected corridor during active construction and lane-control periods.
Buyer check: Which ZIP codes can Rainbow International Restoration serve within its target emergency-response time under normal and peak traffic conditions?
Audit layer
Full factor ledger
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 | +1.1 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.2 |
| Transportation, routing, and parking | -0.5 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.7 |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.40 |
| Published local-market alignment | 71.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +1.1 pts
- Tested rank range
- #1–#6
#4Tier 3 · Mixed modeled alignment71.3
HomeSmiles
Increase +0.8 pts Referral ecosystemReduction -0.2 pts Transportation, routing, and parking
Rank sensitivity: Moderately sensitive
Impact summary and full calculation
Why it ranks here
Healthcare and university networks support professional referrals while formal procurement can lengthen institutional sales cycles
Local evidence: Physicians represented by Summa Health Network: 2,300 physicians over [12]
Local evidence: University of Akron competitive-bid thresholds: services over usd: 100,000; materials over usd: 75,000 usd purchase threshold [15]
Why this concept reacts: Moderate operating-model exposure through professional referral dependency, property manager sales, and institutional sales.
Modeled effect: +0.8 pts from this relationship; +0.8 pts across the full factor.
Counterfactual: Without this relationship, the full model rerun moves the concept from #4 to #5.
Buyer check: Which property-management partners are expected to produce recurring opportunities for HomeSmiles?
Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction
Local evidence: 1991-2020 annual precipitation and snowfall normals: precipitation inches: 41.57; snowfall inches: 47.2 inches per year [8]
Local evidence: Average first fall and last spring 32°F freeze dates: average first fall freeze: October 19; average last spring freeze: April 29 calendar dates [9]
Why this concept reacts: Low operating-model exposure through service vehicle required, high daily stop count, and emergency response.
Modeled effect: -0.2 pts from this relationship; -0.2 pts across the full factor.
Counterfactual: Without this relationship, the full model rerun moves the concept from #4 to #5.
Buyer check: How many field vehicles must HomeSmiles deploy, and where would they begin and end each service day?
Audit layer
Full factor ledger
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 | +0.8 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | -0.2 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.8 |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.32 |
| Published local-market alignment | 71.3 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.8 pts
- Tested rank range
- #3–#5
#5Tier 3 · Mixed modeled alignment71.2
ActionCOACH
Increase +0.9 pts Referral ecosystemNo material negative local adjustment identified
Rank sensitivity: Moderately sensitive
Impact summary and full calculation
Why it ranks here
Healthcare and university networks support professional referrals while formal procurement can lengthen institutional sales cycles
Local evidence: Physicians represented by Summa Health Network: 2,300 physicians over [12]
Local evidence: University of Akron competitive-bid thresholds: services over usd: 100,000; materials over usd: 75,000 usd purchase threshold [15]
Why this concept reacts: Moderate operating-model exposure through professional referral dependency, business advisory service, and institutional sales.
Modeled effect: +0.9 pts from this relationship; +0.9 pts across the full factor.
Counterfactual: Without this relationship, the full model rerun moves the concept from #5 to #6.
Buyer check: Which professional referral channels are expected to matter most to ActionCOACH, and what local relationship count supports the plan?
Healthcare and university networks support professional referrals while formal procurement can lengthen institutional sales cycles
Local evidence: Physicians represented by Summa Health Network: 2,300 physicians over [12]
Local evidence: University of Akron competitive-bid thresholds: services over usd: 100,000; materials over usd: 75,000 usd purchase threshold [15]
Why this concept reacts: Moderate operating-model exposure through long sales cycle, institutional sales, and sales intensive.
Why it is not in the score: The added sales-process burden depends on selling to institutional buyers and, for University of Akron competitive bidding, on purchase category and contract value thresholds.
Buyer check: What mix of outbound prospecting, professional referrals, and system-generated leads is assumed for ActionCOACH's local client pipeline?
Audit layer
Full factor ledger
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 included in the score |
| Transportation, routing, and parking | Not applicable to this operating model |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.9 |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.23 |
| 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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.9 pts
- Tested rank range
- #4–#7
#6Tier 3 · Mixed modeled alignment71.2
FASTSIGNS
Increase +0.9 pts Target-market demandReduction -0.1 pts Transportation, routing, and parking
Rank sensitivity: Highly sensitive
Impact summary and full calculation
Why it ranks here
Large Akron-centered healthcare institutions create recurring institutional service demand
Local evidence: Akron Children’s 2025 system scale: hospitals: 2; pediatric offices: 44; urgent cares: 5; primary and specialty locations: 50; total outpatient visits: 1,637,838 systemwide counts [13]
Local evidence: Summa Health system scale headquartered in Akron: main hospitals: 2; health centers: 20; employees minimum: 8,500; employed physicians and advanced practice providers approx: 700 organization counts [10] [3]
Why this concept reacts: Low operating-model exposure through institutional sales, signage production service, and commercial cleaning service.
Modeled effect: +0.5 pts from this relationship; +0.9 pts across the full factor.
Counterfactual: Rank remains #6, but the full model rerun changes alignment by -0.5 pts.
Buyer check: Which local customer verticals are expected to generate repeat signage and graphics work for FASTSIGNS?
Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction
Local evidence: 1991-2020 annual precipitation and snowfall normals: precipitation inches: 41.57; snowfall inches: 47.2 inches per year [8]
Local evidence: Average first fall and last spring 32°F freeze dates: average first fall freeze: October 19; average last spring freeze: April 29 calendar dates [9]
Why this concept reacts: Low operating-model exposure through service vehicle required, high daily stop count, and emergency response.
Modeled effect: -0.1 pts from this relationship; -0.1 pts across the full factor.
Counterfactual: Rank remains #6, but the full model rerun changes alignment by +0.1 pts.
Buyer check: What daily vehicle utilization and travel-time allowance are built into FASTSIGNS's operating plan?
Healthcare and university networks support professional referrals while formal procurement can lengthen institutional sales cycles
Local evidence: Physicians represented by Summa Health Network: 2,300 physicians over [12]
Local evidence: University of Akron competitive-bid thresholds: services over usd: 100,000; materials over usd: 75,000 usd purchase threshold [15]
Why this concept reacts: Moderate operating-model exposure through institutional sales, sales intensive, and long sales cycle.
Why it is not in the score: The added sales-process burden depends on selling to institutional buyers and, for University of Akron competitive bidding, on purchase category and contract value thresholds.
Buyer check: Which customer verticals and outside-sales activities are expected to produce FASTSIGNS's first recurring local accounts?
Audit layer
Full factor ledger
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 | +0.9 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | -0.1 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.4 |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.19 |
| 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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.9 pts
- Tested rank range
- #3–#7
#7Tier 3 · Mixed modeled alignment71.0
PuroClean
Increase +1.1 pts Property replacement-cycle demandReduction -0.6 pts Transportation, routing, and parking
Rank sensitivity: Highly sensitive
Impact summary and full calculation
Why it ranks here
Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction
Local evidence: 1991-2020 annual precipitation and snowfall normals: precipitation inches: 41.57; snowfall inches: 47.2 inches per year [8]
Local evidence: Average first fall and last spring 32°F freeze dates: average first fall freeze: October 19; average last spring freeze: April 29 calendar dates [9]
Why this concept reacts: Moderate operating-model exposure through restoration service, hvac service, and electrical service.
Modeled effect: +0.7 pts from this relationship; +1.1 pts across the full factor.
Counterfactual: Rank remains #7, but the full model rerun changes alignment by -0.7 pts.
Buyer check: Which building conditions and loss events are expected to create the most restoration demand for PuroClean?
Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction
Local evidence: 1991-2020 annual precipitation and snowfall normals: precipitation inches: 41.57; snowfall inches: 47.2 inches per year [8]
Local evidence: Average first fall and last spring 32°F freeze dates: average first fall freeze: October 19; average last spring freeze: April 29 calendar dates [9]
Why this concept reacts: Moderate operating-model exposure through service vehicle required, tight appointment windows, and emergency response.
Modeled effect: -0.6 pts from this relationship; -0.6 pts across the full factor.
Counterfactual: Without this relationship, the full model rerun moves the concept from #7 to #4.
Buyer check: What dispatch zones and maximum drive-time assumptions does PuroClean use for urgent service calls?
Authorized 2026 resurfacing creates route-specific temporary disruption risk on Vernon Odom Boulevard and Tallmadge Avenue
Local evidence: Vernon Odom Boulevard (SR 261) resurfacing authorized to proceed in 2026: segment 1: I-77 to Rhodes Avenue; segment 2: Romig Road to Medina Line Road; ordinance: 90-2026 project segments [17]
Local evidence: Tallmadge Avenue resurfacing participatory agreement authorized in 2026: yes project authorized [18]
Why this concept reacts: Moderate operating-model exposure through emergency response, tight appointment windows, and service vehicle required.
Why it is not in the score: The effect depends on whether a franchise route, customer base, deliveries, or site access materially uses the affected corridor during active construction and lane-control periods.
Buyer check: What dispatch zones and maximum drive-time assumptions does PuroClean use for urgent service calls?
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +1.1 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.2 |
| Transportation, routing, and parking | -0.6 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.7 |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.03 |
| Published local-market alignment | 71.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +1.1 pts
- Tested rank range
- #2–#8
#8Tier 3 · Mixed modeled alignment70.3
Aire Serv
Increase +1.3 pts Property replacement-cycle demandReduction -0.5 pts Transportation, routing, and parking
Rank sensitivity: Highly sensitive
Impact summary and full calculation
Why it ranks here
Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction
Local evidence: 1991-2020 annual precipitation and snowfall normals: precipitation inches: 41.57; snowfall inches: 47.2 inches per year [8]
Local evidence: Average first fall and last spring 32°F freeze dates: average first fall freeze: October 19; average last spring freeze: April 29 calendar dates [9]
Why this concept reacts: Moderate operating-model exposure through hvac service, restoration service, and electrical service.
Modeled effect: +0.8 pts from this relationship; +1.3 pts across the full factor.
Counterfactual: Without this relationship, the full model rerun moves the concept from #8 to #12.
Buyer check: Which equipment ages and replacement triggers are expected to generate the strongest service mix for Aire Serv?
Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction
Local evidence: 1991-2020 annual precipitation and snowfall normals: precipitation inches: 41.57; snowfall inches: 47.2 inches per year [8]
Local evidence: Average first fall and last spring 32°F freeze dates: average first fall freeze: October 19; average last spring freeze: April 29 calendar dates [9]
Why this concept reacts: Moderate operating-model exposure through service vehicle required, tight appointment windows, and emergency response.
Modeled effect: -0.5 pts from this relationship; -0.5 pts across the full factor.
Counterfactual: Rank remains #8, but the full model rerun changes alignment by +0.5 pts.
Buyer check: What daily vehicle utilization and travel-time allowance are built into Aire Serv's operating plan?
Authorized 2026 resurfacing creates route-specific temporary disruption risk on Vernon Odom Boulevard and Tallmadge Avenue
Local evidence: Vernon Odom Boulevard (SR 261) resurfacing authorized to proceed in 2026: segment 1: I-77 to Rhodes Avenue; segment 2: Romig Road to Medina Line Road; ordinance: 90-2026 project segments [17]
Local evidence: Tallmadge Avenue resurfacing participatory agreement authorized in 2026: yes project authorized [18]
Why this concept reacts: Moderate operating-model exposure through service vehicle required, emergency response, and tight appointment windows.
Why it is not in the score: The effect depends on whether a franchise route, customer base, deliveries, or site access materially uses the affected corridor during active construction and lane-control periods.
Buyer check: What daily vehicle utilization and travel-time allowance are built into Aire Serv's operating plan?
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +1.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | -0.5 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.34 |
| 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
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +1.3 pts
- Tested rank range
- #6–#12
#9Tier 3 · Mixed modeled alignment70.1
Pillar To Post Home Inspectors
Increase +0.6 pts Property replacement-cycle demandReduction -0.4 pts Transportation, routing, and parking
Rank sensitivity: Moderately sensitive
Impact summary and full calculation
Why it ranks here
Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction
Local evidence: 1991-2020 annual precipitation and snowfall normals: precipitation inches: 41.57; snowfall inches: 47.2 inches per year [8]
Local evidence: Average first fall and last spring 32°F freeze dates: average first fall freeze: October 19; average last spring freeze: April 29 calendar dates [9]
Why this concept reacts: Low operating-model exposure through property inspection service, hvac service, and restoration service.
Modeled effect: +0.4 pts from this relationship; +0.6 pts across the full factor.
Counterfactual: Without this relationship, the full model rerun moves the concept from #9 to #11.
Buyer check: Which building-age and condition issues are expected to increase the value or complexity of Pillar To Post Home Inspectors's inspections?
Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction
Local evidence: 1991-2020 annual precipitation and snowfall normals: precipitation inches: 41.57; snowfall inches: 47.2 inches per year [8]
Local evidence: Average first fall and last spring 32°F freeze dates: average first fall freeze: October 19; average last spring freeze: April 29 calendar dates [9]
Why this concept reacts: Moderate operating-model exposure through service vehicle required, tight appointment windows, and high daily stop count.
Modeled effect: -0.4 pts from this relationship; -0.4 pts across the full factor.
Counterfactual: Without this relationship, the full model rerun moves the concept from #9 to #10.
Buyer check: What service radius and drive-time ceiling has Pillar To Post Home Inspectors validated for the proposed territory?
Authorized 2026 resurfacing creates route-specific temporary disruption risk on Vernon Odom Boulevard and Tallmadge Avenue
Local evidence: Vernon Odom Boulevard (SR 261) resurfacing authorized to proceed in 2026: segment 1: I-77 to Rhodes Avenue; segment 2: Romig Road to Medina Line Road; ordinance: 90-2026 project segments [17]
Local evidence: Tallmadge Avenue resurfacing participatory agreement authorized in 2026: yes project authorized [18]
Why this concept reacts: Moderate operating-model exposure through tight appointment windows, service vehicle required, and high daily stop count.
Why it is not in the score: The effect depends on whether a franchise route, customer base, deliveries, or site access materially uses the affected corridor during active construction and lane-control periods.
Buyer check: What service radius and drive-time ceiling has Pillar To Post Home Inspectors validated for the proposed territory?
Audit layer
Full factor ledger
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 | +0.6 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.1 |
| Transportation, routing, and parking | -0.4 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.12 |
| Published local-market alignment | 70.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.6 pts
- Tested rank range
- #8–#10
#10Tier 3 · Mixed modeled alignment70.0
Workout Anytime
No material positive local adjustment identifiedNo material negative local adjustment identified
Rank sensitivity: Highly sensitive
Impact summary and full calculation
Why it ranks here
Akron sign rules can require prototype adaptation for nonconforming, abandoned-tenant, and downtown signs
Local evidence: Current Akron sign-code provisions relevant to nonconforming, downtown, and abandoned signs: section 153 355: Nonconforming signs are declared a nuisance and handled under the nonconformities article.; section 153 347: Downtown signs are governed by the City of Akron Form-Based Zoning Code, Division 4.5.; section 153 380: Signs related to a former tenant or use are subject to removal provisions with a ten-day period described in the section. code provisions [16] [2] [3]
Why this concept reacts: High operating-model exposure through standardized exterior signage, customer facing fixed location, and signage production service.
Why it is not in the score: Scoring requires the site’s zoning district, whether the sign is downtown/form-based, and whether an existing sign is nonconforming or tied to a former tenant/use.
Buyer check: Which zoning, occupancy, and permit requirements must be cleared before Workout Anytime approves a customer-facing site?
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Not applicable to this operating model |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.00 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #7–#14
#11Tier 3 · Mixed modeled alignment69.9
ZOOM DRAIN
Increase +0.6 pts Referral ecosystemReduction -0.8 pts Transportation, routing, and parking
Rank sensitivity: Highly sensitive
Impact summary and full calculation
Why it ranks here
Healthcare and university networks support professional referrals while formal procurement can lengthen institutional sales cycles
Local evidence: Physicians represented by Summa Health Network: 2,300 physicians over [12]
Local evidence: University of Akron competitive-bid thresholds: services over usd: 100,000; materials over usd: 75,000 usd purchase threshold [15]
Why this concept reacts: Moderate operating-model exposure through professional referral dependency, property manager sales, and institutional sales.
Modeled effect: +0.6 pts from this relationship; +0.6 pts across the full factor.
Counterfactual: Without this relationship, the full model rerun moves the concept from #11 to #14.
Buyer check: Which property-management partners are expected to produce recurring opportunities for ZOOM DRAIN?
Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction
Local evidence: 1991-2020 annual precipitation and snowfall normals: precipitation inches: 41.57; snowfall inches: 47.2 inches per year [8]
Local evidence: Average first fall and last spring 32°F freeze dates: average first fall freeze: October 19; average last spring freeze: April 29 calendar dates [9]
Why this concept reacts: High operating-model exposure through service vehicle required, tight appointment windows, and emergency response.
Modeled effect: -0.8 pts from this relationship; -0.8 pts across the full factor.
Counterfactual: Without this relationship, the full model rerun moves the concept from #11 to #9.
Buyer check: Where must ZOOM DRAIN stage crews and vehicles to protect after-hours response times across the proposed territory?
Authorized 2026 resurfacing creates route-specific temporary disruption risk on Vernon Odom Boulevard and Tallmadge Avenue
Local evidence: Vernon Odom Boulevard (SR 261) resurfacing authorized to proceed in 2026: segment 1: I-77 to Rhodes Avenue; segment 2: Romig Road to Medina Line Road; ordinance: 90-2026 project segments [17]
Local evidence: Tallmadge Avenue resurfacing participatory agreement authorized in 2026: yes project authorized [18]
Why this concept reacts: High operating-model exposure through service vehicle required, emergency response, and tight appointment windows.
Why it is not in the score: The effect depends on whether a franchise route, customer base, deliveries, or site access materially uses the affected corridor during active construction and lane-control periods.
Buyer check: Where must ZOOM DRAIN stage crews and vehicles to protect after-hours response times across the proposed territory?
Audit layer
Full factor ledger
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 | +0.5 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | -0.8 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.6 |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.90 |
| 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
- Adequate
- 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
- #9–#14
#12Tier 3 · Mixed modeled alignment69.8
Tiger Adjusters
No material positive local adjustment identifiedReduction -0.2 pts Transportation, routing, and parking
Rank sensitivity: Highly sensitive
Impact summary and full calculation
Why it ranks here
Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction
Local evidence: 1991-2020 annual precipitation and snowfall normals: precipitation inches: 41.57; snowfall inches: 47.2 inches per year [8]
Local evidence: Average first fall and last spring 32°F freeze dates: average first fall freeze: October 19; average last spring freeze: April 29 calendar dates [9]
Why this concept reacts: Low operating-model exposure through service vehicle required, emergency response, and high daily stop count.
Modeled effect: -0.2 pts from this relationship; -0.2 pts across the full factor.
Counterfactual: Without this relationship, the full model rerun moves the concept from #12 to #13.
Buyer check: What daily vehicle utilization and travel-time allowance are built into Tiger Adjusters's operating plan?
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | -0.2 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.81 |
| Published local-market alignment | 69.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Transportation, routing, and parking -0.2 pts
- Tested rank range
- #9–#14
#13Tier 3 · Mixed modeled alignment69.6
Mister Sparky Electric
Increase +0.7 pts Property replacement-cycle demandReduction -0.6 pts Transportation, routing, and parking
Rank sensitivity: Moderately sensitive
Impact summary and full calculation
Why it ranks here
Older housing stock supports replacement-service demand while increasing legacy-system service complexity
Local evidence: Total housing units in 2024 ACS 1-year profile: 94,725 housing units [5]
Local evidence: Housing units reported as built in 1939 or earlier on current secondary Census-derived page: 31,115 housing units [6]
Why this concept reacts: Low operating-model exposure through electrical service, plumbing service, and hvac service.
Modeled effect: +0.4 pts from this relationship; +0.7 pts across the full factor.
Counterfactual: Rank remains #13, but the full model rerun changes alignment by -0.4 pts.
Buyer check: Which legacy-system, safety, and retrofit needs are expected to create the largest opportunity for Mister Sparky Electric?
Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction
Local evidence: 1991-2020 annual precipitation and snowfall normals: precipitation inches: 41.57; snowfall inches: 47.2 inches per year [8]
Local evidence: Average first fall and last spring 32°F freeze dates: average first fall freeze: October 19; average last spring freeze: April 29 calendar dates [9]
Why this concept reacts: Moderate operating-model exposure through service vehicle required, tight appointment windows, and high daily stop count.
Modeled effect: -0.6 pts from this relationship; -0.6 pts across the full factor.
Counterfactual: Without this relationship, the full model rerun moves the concept from #13 to #11.
Buyer check: What daily vehicle utilization and travel-time allowance are built into Mister Sparky Electric's operating plan?
Authorized 2026 resurfacing creates route-specific temporary disruption risk on Vernon Odom Boulevard and Tallmadge Avenue
Local evidence: Vernon Odom Boulevard (SR 261) resurfacing authorized to proceed in 2026: segment 1: I-77 to Rhodes Avenue; segment 2: Romig Road to Medina Line Road; ordinance: 90-2026 project segments [17]
Local evidence: Tallmadge Avenue resurfacing participatory agreement authorized in 2026: yes project authorized [18]
Why this concept reacts: Moderate operating-model exposure through service vehicle required, tight appointment windows, and high daily stop count.
Why it is not in the score: The effect depends on whether a franchise route, customer base, deliveries, or site access materially uses the affected corridor during active construction and lane-control periods.
Buyer check: What daily vehicle utilization and travel-time allowance are built into Mister Sparky Electric's operating plan?
Audit layer
Full factor ledger
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 | +0.7 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.5 |
| Transportation, routing, and parking | -0.6 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.62 |
| Published local-market alignment | 69.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.7 pts
- Tested rank range
- #11–#13
#14Tier 3 · Mixed modeled alignment69.4
Mr. Rooter
Increase +0.5 pts Property replacement-cycle demandReduction -0.7 pts Transportation, routing, and parking
Rank sensitivity: Moderately sensitive
Impact summary and full calculation
Why it ranks here
Older housing stock supports replacement-service demand while increasing legacy-system service complexity
Local evidence: Total housing units in 2024 ACS 1-year profile: 94,725 housing units [5]
Local evidence: Housing units reported as built in 1939 or earlier on current secondary Census-derived page: 31,115 housing units [6]
Why this concept reacts: Low operating-model exposure through plumbing service, hvac service, and electrical service.
Modeled effect: +0.5 pts from this relationship; +0.5 pts across the full factor.
Counterfactual: Rank remains #14, but the full model rerun changes alignment by -0.5 pts.
Buyer check: Which pipe, drain, and fixture conditions are expected to drive the most repeatable work for Mr. Rooter?
Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction
Local evidence: 1991-2020 annual precipitation and snowfall normals: precipitation inches: 41.57; snowfall inches: 47.2 inches per year [8]
Local evidence: Average first fall and last spring 32°F freeze dates: average first fall freeze: October 19; average last spring freeze: April 29 calendar dates [9]
Why this concept reacts: High operating-model exposure through service vehicle required, high daily stop count, and tight appointment windows.
Modeled effect: -0.7 pts from this relationship; -0.7 pts across the full factor.
Counterfactual: Without this relationship, the full model rerun moves the concept from #14 to #12.
Buyer check: How many field vehicles must Mr. Rooter deploy, and where would they begin and end each service day?
Authorized 2026 resurfacing creates route-specific temporary disruption risk on Vernon Odom Boulevard and Tallmadge Avenue
Local evidence: Vernon Odom Boulevard (SR 261) resurfacing authorized to proceed in 2026: segment 1: I-77 to Rhodes Avenue; segment 2: Romig Road to Medina Line Road; ordinance: 90-2026 project segments [17]
Local evidence: Tallmadge Avenue resurfacing participatory agreement authorized in 2026: yes project authorized [18]
Why this concept reacts: Moderate operating-model exposure through service vehicle required, tight appointment windows, and high daily stop count.
Why it is not in the score: The effect depends on whether a franchise route, customer base, deliveries, or site access materially uses the affected corridor during active construction and lane-control periods.
Buyer check: How many field vehicles must Mr. Rooter deploy, and where would they begin and end each service day?
Audit layer
Full factor ledger
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 | +0.5 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | -0.7 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.38 |
| Published local-market alignment | 69.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Transportation, routing, and parking -0.7 pts
- Tested rank range
- #12–#14
No franchise concepts match the selected filters.
Worked score example
How we calculated City Wide
This example uses the same ledger shown for every concept and must reconcile exactly to the published score.
Full score ledger
Every factor is classified so a displayed zero is not 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 | Not included in the score |
| Transportation, routing, and parking | -0.1 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +1.0 |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 73.05 |
| 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.
Starting pointThe operating-model baseline shown in the first ledger row.
InteractionsAny interaction or gate is included in the relevant contribution or calibration row.
Confidence treatmentEvidence confidence is disclosed separately unless the model definition explicitly applies a calibration adjustment.
RoundingFull-precision contributions are summed before the final displayed score is rounded to one decimal place; whole-number results are shown without a trailing decimal.
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.
Observed model effectMixed or model dependent
Target-market demand
We tested how much of the city’s theoretical customer and business demand remained usable after operating friction.
Why concepts react differently
We applied a measurable adjustment to 6 of 14 concepts. When we neutralized the factor and recalculated the table, 9 concepts changed position. Jan-Pro International moved from #2 to #10, the largest movement among concepts directly affected by this factor.
Concepts adjusted6 of 14
Average among affected+1.0 pts
Average across all concepts+0.4 pts
Concepts changing rank9
What we observed
- University Of Akron Total Fall 2025 Enrollment15,318 students
- University Of Akron Competitive Bid Thresholdsservices over usd: 100,000; materials over usd: 75,000 usd purchase threshold
- Akron Children’s 2025 System Scalehospitals: 2; pediatric offices: 44; urgent cares: 5; primary and specialty locations: 50; total outpatient visits: 1,637,838 systemwide counts
Concepts helped most
City WideFacility management
+2.1 pts
Jan-Pro InternationalCommercial cleaning
+1.5 pts
FASTSIGNSSigns and graphics
+0.9 pts
HomeSmilesProperty maintenance services
+0.8 pts
ActionCOACHBusiness coaching
+0.4 pts
Observed model effectMixed or model dependent
Property replacement-cycle demand
We compared the age and condition of relevant property systems with the services each concept is actually equipped to provide.
Why concepts react differently
We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 9 concepts changed position. Aire Serv moved from #8 to #12, the largest movement among concepts directly affected by this factor.
Concepts adjusted7 of 14
Average among affected+0.8 pts
Average across all concepts+0.4 pts
Concepts changing rank9
Concepts helped most
Aire ServHVAC installation, repair, and maintenance
+1.3 pts
PuroCleanRestoration
+1.1 pts
Rainbow International RestorationRestoration
+1.1 pts
Mister Sparky ElectricElectrical
+0.7 pts
Pillar To Post Home InspectorsHome inspection
+0.6 pts
Observed model effectMixed or model dependent
Labor and staffing friction
We compared each concept’s frontline and specialist staffing requirements with the local labor environment.
Why concepts react differently
We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 8 concepts changed position. ZOOM DRAIN moved from #11 to #9, the largest movement among concepts directly affected by this factor.
Concepts adjusted7 of 14
Average among affected-0.3 pts
Average across all concepts-0.2 pts
Concepts changing rank8
Concepts challenged most
Mister Sparky ElectricElectrical
-0.5 pts
Aire ServHVAC installation, repair, and maintenance
-0.4 pts
Mr. RooterPlumbing
-0.4 pts
ZOOM DRAINDrain and sewer service
-0.4 pts
PuroCleanRestoration
-0.2 pts
Observed model effectMixed or model dependent
Transportation, routing, and parking
We recalculated route-dependent models after accounting for travel corridors, parking, and the number of productive stops they require.
Why concepts react differently
We applied a measurable adjustment to 12 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. PuroClean moved from #7 to #4, the largest movement among concepts directly affected by this factor.
Concepts adjusted12 of 14
Average among affected-0.4 pts
Average across all concepts-0.3 pts
Concepts changing rank11
What we observed
- Vernon Odom Boulevard (sr 261) Resurfacing Authorized To Proceed In 2026segment 1: I-77 to Rhodes Avenue; segment 2: Romig Road to Medina Line Road; ordinance: 90-2026 project segments
- Tallmadge Avenue Resurfacing Participatory Agreement Authorized In 2026yes project authorized
Concepts challenged most
ZOOM DRAINDrain and sewer service
-0.8 pts
Mr. RooterPlumbing
-0.7 pts
Mister Sparky ElectricElectrical
-0.6 pts
PuroCleanRestoration
-0.6 pts
Aire ServHVAC installation, repair, and maintenance
-0.5 pts
Observed model effectMixed or model dependent
Referral ecosystem
We tested whether the local professional and institutional referral ecosystem materially separated the assessed concepts.
Why concepts react differently
We applied a measurable adjustment to 8 of 14 concepts. When we neutralized the factor and recalculated the table, 10 concepts changed position. FASTSIGNS moved from #6 to #3, the largest movement among concepts directly affected by this factor.
Concepts adjusted8 of 14
Average among affected+0.7 pts
Average across all concepts+0.4 pts
Concepts changing rank10
Concepts helped most
City WideFacility management
+1.0 pts
ActionCOACHBusiness coaching
+0.9 pts
HomeSmilesProperty maintenance services
+0.8 pts
PuroCleanRestoration
+0.7 pts
Rainbow International RestorationRestoration
+0.7 pts
Measured but not differentiating in this concept set
- 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
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.
#1 City WideModerately sensitive · tested #1–#3
#2 Jan-Pro InternationalHighly sensitive · tested #2–#10
#3 Rainbow International RestorationHighly sensitive · tested #1–#6
#4 HomeSmilesModerately sensitive · tested #3–#5
#5 ActionCOACHModerately sensitive · tested #4–#7
#6 FASTSIGNSHighly sensitive · tested #3–#7
#7 PuroCleanHighly sensitive · tested #2–#8
#8 Aire ServHighly sensitive · tested #6–#12
#9 Pillar To Post Home InspectorsModerately sensitive · tested #8–#10
#10 Workout AnytimeHighly sensitive · tested #7–#14
#11 ZOOM DRAINHighly sensitive · tested #9–#14
#12 Tiger AdjustersHighly sensitive · tested #9–#14
#13 Mister Sparky ElectricModerately sensitive · tested #11–#13
#14 Mr. RooterModerately sensitive · tested #12–#14
Neutralizing a factor removes it from every concept. A concept can move down even when its own score improves because competitors may benefit more.
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.
Primary source records by factorTarget-market demand: [4] [5] [10] [13] [14] [1] [3]Property replacement-cycle demand: [5] [6] [8] [9] [1]Competitive environment: [4] [3]Labor and staffing friction: [7] [6] [2] [1] [10]Transportation, routing, and parking: [8] [9] [17] [18] [3]Real estate and site feasibility: [19] [20] [21] [1]Sales and customer acquisition: [15] [11] [10] [3]Referral ecosystem: [12] [10] [14]Territory quality: [4] [3]Regulatory and operating friction: [16] [2] [3]
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 | +2.1 pts | — | — | -0.1 pts | +1.0 pts |
| #2 Jan-Pro International | +1.5 pts | — | — | -0.3 pts | +0.3 pts |
| #3 Rainbow International Restoration | +0.3 pts | +1.1 pts | -0.2 pts | -0.5 pts | +0.7 pts |
| #4 HomeSmiles | +0.8 pts | — | — | -0.2 pts | +0.8 pts |
| #5 ActionCOACH | +0.4 pts | — | — | — | +0.9 pts |
| #6 FASTSIGNS | +0.9 pts | — | — | -0.1 pts | +0.4 pts |
| #7 PuroClean | — | +1.1 pts | -0.2 pts | -0.6 pts | +0.7 pts |
| #8 Aire Serv | — | +1.3 pts | -0.4 pts | -0.5 pts | — |
| #9 Pillar To Post Home Inspectors | — | +0.6 pts | -0.1 pts | -0.4 pts | — |
| #10 Workout Anytime | — | — | — | — | — |
| #11 ZOOM DRAIN | — | +0.5 pts | -0.4 pts | -0.8 pts | +0.6 pts |
| #12 Tiger Adjusters | — | — | — | -0.2 pts | — |
| #13 Mister Sparky Electric | — | +0.7 pts | -0.5 pts | -0.6 pts | — |
| #14 Mr. Rooter | — | +0.5 pts | -0.4 pts | -0.7 pts | — |
Interpretation
How to interpret the result
City Wide, Jan-Pro International, Rainbow International Restoration 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 Jan-Pro International, Rainbow International Restoration, FASTSIGNS; their ranks move more widely when individual factors are neutralized.
Local research gallery
Visual context from this market
These images were matched to this city automatically from the compiled image folder. They provide visual context and are not treated as independent scoring evidence unless specific source and analytical metadata are supplied.
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Category comparisons
Best franchise categories we assessed in Akron, Ohio
Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.
Limited two-concept comparison
71.2Best Restoration franchise opportunities we assessed in Akron, Ohio
2 Restoration concepts qualified for comparison, with scores ranging from 71.0 to 71.4. Rainbow International Restoration ranked highest at 71.4. Property replacement-cycle demand added 1.1 points on average among the affected concepts. Transportation, routing, and parking reduced the exposed concepts by 0.5 points on average.
Interpret cautiously: A 0.4-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 71.0–71.4
- Category average
- 71.2
Rainbow International Restoration71.4
PuroClean71.0
Metric registry
The 22 local metrics behind this analysis
The registry shows each public metric’s raw value, period, geography, source, and its actual role in the compiled analysis.
View all local metrics
| Metric | Raw value | Period | Geography | Role in analysis | Source |
|---|---|---|---|---|---|
| Resident population estimate on July 1, 2025 | 189,691people | July 1, 2025 population estimate and 2020-2024 ACS characteristics | Akron, Ohio | Context only | [4] |
| Population change from April 2020 estimate base to July 2025 | -0.4percent | July 1, 2025 population estimate and 2020-2024 ACS characteristics | Akron, Ohio | Context only | [4] |
| Households, 2020-2024 | 84,734households | July 1, 2025 population estimate and 2020-2024 ACS characteristics | Akron, Ohio | Context only | [4] |
| Owner-occupied housing unit rate, 2020-2024 | 50.7percent | July 1, 2025 population estimate and 2020-2024 ACS characteristics | Akron, Ohio | Context only | [4] |
| Total housing units in 2024 ACS 1-year profile | 94,725housing units | 2024 ACS 1-year estimates and 2020 Census profile | Akron, Ohio | Supports research conclusion | [5] |
| Housing units reported as built in 1939 or earlier on current secondary Census-derived page | 31,115housing units | Current page accessed August 2026; underlying housing vintage not clearly labeled on the page | Akron, Ohio | Supports research conclusion | [6] |
| Derived share of housing units built before 1970 from the secondary year-built table | 73.9percent of housing units | Current page accessed August 2026; underlying housing vintage not clearly labeled on the page | Akron, Ohio | Supports research conclusion | [6] [1] |
| Average first fall and last spring 32°F freeze dates | average first fall freeze: October 19; average last spring freeze: April 29calendar dates | 1991-2020 climate normals | Akron-Canton, Ohio | Supports research conclusion | [9] |
| 1991-2020 annual precipitation and snowfall normals | precipitation inches: 41.57; snowfall inches: 47.2inches per year | 1991-2020 climate normals | Akron-Canton, Ohio | Supports research conclusion | [8] |
| Summa Health system scale headquartered in Akron | main hospitals: 2; health centers: 20; employees minimum: 8,500; employed physicians and advanced practice providers approx: 700organization counts | Current organization facts accessed August 2026; licensed-bed statement as of March 2026 | Summa Health, headquartered in Akron, Ohio; five-county service area | Used in scoring | [10] [3] |
| Akron Children’s 2025 system scale | hospitals: 2; pediatric offices: 44; urgent cares: 5; primary and specialty locations: 50; total outpatient visits: 1,637,838systemwide counts | 2025 facts and statistics | Akron Children’s regional system; main campus in Akron, Ohio | Used in scoring | [13] |
| University of Akron total fall 2025 enrollment | 15,318students | Fall 2025 | The University of Akron system; main campus in Akron and regional Wayne Campus | Used in scoring | [14] |
| University of Akron competitive-bid thresholds | services over usd: 100,000; materials over usd: 75,000usd purchase threshold | Current purchasing rules accessed August 2026 | The University of Akron | Used in scoring | [15] |
| Summa Health vendor onboarding and credentialing requirement | vendor registration required: yes; credentialing platforms: IntelliCentrics, Sec3ure, Reptraxrequirements | Current vendor rules accessed August 2026 | Summa Health system | Supports research conclusion | [11] |
| Physicians represented by Summa Health Network | 2,300physicians over | Current network facts accessed August 2026 | Summa Health Network member hospitals and community providers | Supports research conclusion | [12] |
| Selected May 2025 mean hourly wages in the Akron metropolitan area compared with the United States | all occupations: akron: 30.49, us: 33.54; food preparation and serving: akron: 16.65, us: 17.86; building and grounds cleaning: akron: 18.57, us: 19.66; office and administrative support: akron: 23.54, us: 24.79; construction and extraction: akron: 32.82, us: 31.42; installation maintenance and repair: akron: 29.14, us: 30.44; production: akron: 24.11, us: 24.81; transportation and material moving: akron: 21.64, us: 23.96usd per hour | May 2025 | Akron, OH Metropolitan Statistical Area | Context only | [7] |
| Akron industrial vacancy rate reported for Q2 2025 | 4.1percent | Industrial metrics stated as Q2 2025 | Akron industrial market | Context only | [19] [1] |
| Northeast Ohio industrial vacancy rate in Q4 2025 | 5.1percent | Q4 2025 | Northeast Ohio / Cleveland-Akron industrial market | Context only | [20] |
| Cleveland industrial market vacancy and availability in Q2 2026, retained as regional comparison context | vacancy percent: 3.9; availability percent: 6; under construction sqft: 324,000market metrics | Q2 2026 | Cleveland industrial market | Context only | [21] |
| Current Akron sign-code provisions relevant to nonconforming, downtown, and abandoned signs | section 153 355: Nonconforming signs are declared a nuisance and handled under the nonconformities article.; section 153 347: Downtown signs are governed by the City of Akron Form-Based Zoning Code, Division 4.5.; section 153 380: Signs related to a former tenant or use are subject to removal provisions with a ten-day period described in the section.code provisions | Supplement 63, codified through Ordinance No. 429-2025; current online code accessed August 2026 | City of Akron; applicability depends on sign status and district | Conditional relationship | [16] [2] [3] |
| Vernon Odom Boulevard (SR 261) resurfacing authorized to proceed in 2026 | segment 1: I-77 to Rhodes Avenue; segment 2: Romig Road to Medina Line Road; ordinance: 90-2026project segments | 2026 resurfacing authorization | Vernon Odom Boulevard (SR 261), Akron | Conditional relationship | [17] |
| Tallmadge Avenue resurfacing participatory agreement authorized in 2026 | yesproject authorized | 2026 road-resurfacing agreement authorization | Tallmadge Avenue, Akron | Conditional relationship | [18] |
How to use the ranking
What the model can and cannot establish
- Scores measure local operating alignment, not expected financial performance or franchise-system quality.
- Citywide evidence may not describe the exact site or territory ultimately offered.
- Conditional effects are shown for diligence but do not change the published score until their applicability is established.
Methodology
How the local-alignment ranking is calculated
Measure the city
Collect reusable local metrics with source, period, geography, and confidence fields.
Profile each operating model
Map each franchise to controlled operating attributes and local sensitivities.
Apply scoreable effects
Score only effects 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
Tier 1 · Strongest modeled alignment80.0–100.0
Tier 2 · Favorable modeled alignment72.0–<80.0
Tier 3 · Mixed modeled alignment64.0–<72.0
Tier 4 · Higher-friction modeled alignment0.0–<64.0
How factor rows are classified
Positive local adjustmentNegative local adjustmentMeasured; no meaningful local adjustmentEffect below the publication thresholdNot applicable to this operating modelDepends on the specific site, territory, or operating conditionNot included in the score
What “best” means here
“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 11, 2026Added compiler-derived decision intelligence and observation usage mapping., Changed factor sensitivity and channel counterfactuals to full model reruns., Added data-dependent city content signals while preserving legacy public report fields., and Added model-owned semantic compatibility gates and backward-compatible channel-level evidence attribution.
Corrections policy
Corrected source, geography, or operating-profile evidence triggers a full compiler rerun so every dependent score and visual is recalculated.
Source registry
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 Opportunities in U.S. Sub-Markets: A Utility Delta AuditInternal or supplied research; not publicly accessible.
Used for: Derived share of housing units built before 1970 from the secondary year-built table and Akron industrial vacancy rate reported for Q2 2025
- 2Forensic Municipal Audit: Structural Constraints and Hidden Capital FrictionsInternal or supplied research; not publicly accessible.
Used for: Current Akron sign-code provisions relevant to nonconforming, downtown, and abandoned signs
- 3Franchise data - remake - des.csvInternal or supplied research; not publicly accessible.
Used for: Summa Health system scale headquartered in Akron and Current Akron sign-code provisions relevant to nonconforming, downtown, and abandoned signs
- 4QuickFacts: Akron city, Ohio
Used for: Resident population estimate on July 1, 2025, Population change from April 2020 estimate base to July 2025, Households, 2020-2024, and Owner-occupied housing unit rate, 2020-2024
- 5Akron city, Ohio - Census Bureau Profile
Used for: Total housing units in 2024 ACS 1-year profile
- 6Akron, OH Zip Code List, Maps, Population and Demographics
Used for: Housing units reported as built in 1939 or earlier on current secondary Census-derived page and Derived share of housing units built before 1970 from the secondary year-built table
- 7Occupational Employment and Wages in Akron — May 2025
Used for: Selected May 2025 mean hourly wages in the Akron metropolitan area compared with the United States
- 8Akron-Canton Normals
Used for: 1991-2020 annual precipitation and snowfall normals
- 9Frost/Freeze Information
Used for: Average first fall and last spring 32°F freeze dates
- 10Summa Health System - About Us
Used for: Summa Health system scale headquartered in Akron
- 11Vendor Resources - Supply Chain
Used for: Summa Health vendor onboarding and credentialing requirement
- 12Summa Health Network | About Us
Used for: Physicians represented by Summa Health Network
- 13About Akron Children’s
Used for: Akron Children’s 2025 system scale
- 14The University of Akron Says Yes to Growth
Used for: University of Akron total fall 2025 enrollment
- 15Forms and Information for Faculty/Staff
Used for: University of Akron competitive-bid thresholds
- 16Akron Code of Ordinances, Title 15 Land Usage — On-Premises Exterior Signs
Used for: Current Akron sign-code provisions relevant to nonconforming, downtown, and abandoned signs
- 17March 30, 2026 Akron City Council Meeting
Used for: Vernon Odom Boulevard (SR 261) resurfacing authorized to proceed in 2026
- 18March 2, 2026 Akron City Council Meeting
Used for: Tallmadge Avenue resurfacing participatory agreement authorized in 2026
- 19Exploring Akron Commercial Real Estate: Market Overview
Used for: Akron industrial vacancy rate reported for Q2 2025
- 20Northeast Ohio Industrial Market Report | 2025 Q4
Used for: Northeast Ohio industrial vacancy rate in Q4 2025
- 21Cleveland Industrial Figures Q2 2026
Used for: Cleveland industrial market vacancy and availability in Q2 2026, retained as regional comparison context
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.
Disclaimer and broker disclosure: This analysis is informational and does not constitute financial, legal, accounting, or investment advice. Market-alignment scores do not predict financial performance or business success. Offers are made only through the delivery of a Franchise Disclosure Document. We may receive referral compensation from participating franchisors; compensation is not an input to the scoring model.