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.
Analysis by Thomas Jepsen, MSc Model: 0.9.0
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

Highest category average (limited comparison)Restoration

71.2 average across 2 concepts

Largest positive factorTarget-market demand

1 point average among 6 affected concepts

Largest negative factorTransportation, routing, and parking

0.4 points average reduction among 12 affected concepts

Most assumption-sensitive rankJan-Pro International

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.
RankFranchiseAlignment and tierLargest advantageLargest constraintEvidence confidence
1City WideFacility management
73.0Tier 2 · Favorable modeled alignment
+2.1 ptsTarget-market demand -0.1 ptsTransportation, routing, and parking Moderate evidence confidence
2Jan-Pro InternationalCommercial cleaning
71.5Tier 3 · Mixed modeled alignment
+1.5 ptsTarget-market demand -0.3 ptsTransportation, routing, and parking Moderate evidence confidence
3Rainbow International RestorationRestoration
71.4Tier 3 · Mixed modeled alignment
+1.1 ptsProperty replacement-cycle demand -0.5 ptsTransportation, routing, and parking Moderate evidence confidence
4HomeSmilesProperty maintenance services
71.3Tier 3 · Mixed modeled alignment
+0.8 ptsReferral ecosystem -0.2 ptsTransportation, routing, and parking Moderate evidence confidence
5ActionCOACHBusiness coaching
71.2Tier 3 · Mixed modeled alignment
+0.9 ptsReferral ecosystem No material negative local adjustmentModerate evidence confidence
6FASTSIGNSSigns and graphics
71.2Tier 3 · Mixed modeled alignment
+0.9 ptsTarget-market demand -0.1 ptsTransportation, routing, and parking Moderate evidence confidence
7PuroCleanRestoration
71.0Tier 3 · Mixed modeled alignment
+1.1 ptsProperty replacement-cycle demand -0.6 ptsTransportation, routing, and parking Moderate evidence confidence
8Aire 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
9Pillar 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
10Workout AnytimeFitness
70.0Tier 3 · Mixed modeled alignment
No material positive local adjustmentNo material negative local adjustmentModerate evidence confidence

View all 14 score calculations

Conditions that changed the analysis

What mattered most in Akron, Ohio

01

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]

02

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]

03

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

Facility management · B2B facility management and vendor coordination

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

Local tailwind

Large Akron-centered healthcare institutions create recurring institutional service demand

Target-market 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?

Local headwind

Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction

Transportation, routing, and parking

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?

What still needs validation

Healthcare and university networks support professional referrals while formal procurement can lengthen institutional sales cycles

Sales and customer acquisition

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 baseline70.0
Target-market demand+2.1
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.1
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+1.0
Territory qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score73.05
Published local-market alignment73.0

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

Commercial cleaning · recurring commercial route service

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

Local tailwind

Large Akron-centered healthcare institutions create recurring institutional service demand

Target-market 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?

Local headwind

Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction

Transportation, routing, and parking

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?

What still needs validation

Healthcare and university networks support professional referrals while formal procurement can lengthen institutional sales cycles

Sales and customer acquisition

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 baseline70.0
Target-market demand+1.5
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.3
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.2
Territory qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.50
Published local-market alignment71.5

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

Restoration · emergency property 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

Local tailwind

Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction

Property replacement-cycle demand

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?

Local headwind

Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction

Transportation, routing, and parking

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?

What still needs validation

Authorized 2026 resurfacing creates route-specific temporary disruption risk on Vernon Odom Boulevard and Tallmadge Avenue

Transportation, routing, and parking

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 baseline70.0
Target-market demand+0.3
Property replacement-cycle demand+1.1
Competitive environmentNot included in the score
Labor and staffing friction-0.2
Transportation, routing, and parking-0.5
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.7
Territory qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.40
Published local-market alignment71.4

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

Property maintenance services · Home-based mobile property-maintenance franchise using equipped service vans and technician crews to deliver bundled…

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

Local tailwind

Healthcare and university networks support professional referrals while formal procurement can lengthen institutional sales cycles

Referral ecosystem

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?

Local headwind

Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction

Transportation, routing, and parking

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 baseline70.0
Target-market demand+0.8
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.2
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.8
Territory qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.32
Published local-market alignment71.3

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

Business coaching · home-based B2B advisory

Increase +0.9 pts Referral ecosystemNo material negative local adjustment identified

Rank sensitivity: Moderately sensitive

Impact summary and full calculation

Why it ranks here

Local tailwind

Healthcare and university networks support professional referrals while formal procurement can lengthen institutional sales cycles

Referral ecosystem

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?

What still needs validation

Healthcare and university networks support professional referrals while formal procurement can lengthen institutional sales cycles

Sales and customer acquisition

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 baseline70.0
Target-market demand+0.4
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parkingNot applicable to this operating model
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.9
Territory qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.23
Published local-market alignment71.2

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

Signs and graphics · B2B production and installation center

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

Local tailwind

Large Akron-centered healthcare institutions create recurring institutional service demand

Target-market 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?

Local headwind

Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction

Transportation, routing, and parking

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?

What still needs validation

Healthcare and university networks support professional referrals while formal procurement can lengthen institutional sales cycles

Sales and customer acquisition

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 baseline70.0
Target-market demand+0.9
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.1
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.4
Territory qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.19
Published local-market alignment71.2

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

Restoration · emergency property restoration

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

Local tailwind

Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction

Property replacement-cycle demand

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?

Local headwind

Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction

Transportation, routing, and parking

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?

What still needs validation

Authorized 2026 resurfacing creates route-specific temporary disruption risk on Vernon Odom Boulevard and Tallmadge Avenue

Transportation, routing, and parking

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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+1.1
Competitive environmentNot included in the score
Labor and staffing friction-0.2
Transportation, routing, and parking-0.6
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.7
Territory qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.03
Published local-market alignment71.0

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

HVAC installation, repair, and maintenance · Manager-led mobile HVAC installation, repair, maintenance, and emergency service business using skilled technicians…

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

Local tailwind

Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction

Property replacement-cycle demand

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?

Local headwind

Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction

Transportation, routing, and parking

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?

What still needs validation

Authorized 2026 resurfacing creates route-specific temporary disruption risk on Vernon Odom Boulevard and Tallmadge Avenue

Transportation, routing, and parking

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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+1.3
Competitive environmentNot included in the score
Labor and staffing friction-0.4
Transportation, routing, and parking-0.5
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.34
Published local-market alignment70.3

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

Home inspection · mobile property inspection service

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

Local tailwind

Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction

Property replacement-cycle demand

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?

Local headwind

Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction

Transportation, routing, and parking

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?

What still needs validation

Authorized 2026 resurfacing creates route-specific temporary disruption risk on Vernon Odom Boulevard and Tallmadge Avenue

Transportation, routing, and parking

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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+0.6
Competitive environmentNot included in the score
Labor and staffing friction-0.1
Transportation, routing, and parking-0.4
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.12
Published local-market alignment70.1

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

Fitness · fixed-location membership fitness

No material positive local adjustment identifiedNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

Impact summary and full calculation

Why it ranks here

What still needs validation

Akron sign rules can require prototype adaptation for nonconforming, abandoned-tenant, and downtown signs

Regulatory and operating friction

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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parkingNot applicable to this operating model
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.00
Published local-market alignment70.0

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

Drain and sewer service · emergency skilled-trade route service

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

Local tailwind

Healthcare and university networks support professional referrals while formal procurement can lengthen institutional sales cycles

Referral ecosystem

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?

Local headwind

Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction

Transportation, routing, and parking

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?

What still needs validation

Authorized 2026 resurfacing creates route-specific temporary disruption risk on Vernon Odom Boulevard and Tallmadge Avenue

Transportation, routing, and parking

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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+0.5
Competitive environmentNot included in the score
Labor and staffing friction-0.4
Transportation, routing, and parking-0.8
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.6
Territory qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.90
Published local-market alignment69.9

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

Public insurance adjusting · Home-based, referral-led public insurance adjusting business combining local property inspections with…

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

Local headwind

Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction

Transportation, routing, and parking

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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.2
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.81
Published local-market alignment69.8

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

Electrical · skilled-trade home service

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

Local tailwind

Older housing stock supports replacement-service demand while increasing legacy-system service complexity

Property replacement-cycle demand

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?

Local headwind

Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction

Transportation, routing, and parking

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?

What still needs validation

Authorized 2026 resurfacing creates route-specific temporary disruption risk on Vernon Odom Boulevard and Tallmadge Avenue

Transportation, routing, and parking

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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+0.7
Competitive environmentNot included in the score
Labor and staffing friction-0.5
Transportation, routing, and parking-0.6
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.62
Published local-market alignment69.6

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

Plumbing · scheduled and emergency skilled-trade service

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

Local tailwind

Older housing stock supports replacement-service demand while increasing legacy-system service complexity

Property replacement-cycle demand

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?

Local headwind

Recurring freeze, snowfall, and precipitation exposure increases weather-related property service demand and winter routing friction

Transportation, routing, and parking

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?

What still needs validation

Authorized 2026 resurfacing creates route-specific temporary disruption risk on Vernon Odom Boulevard and Tallmadge Avenue

Transportation, routing, and parking

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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+0.5
Competitive environmentNot included in the score
Labor and staffing friction-0.4
Transportation, routing, and parking-0.7
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.38
Published local-market alignment69.4

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

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 baseline70.0
Target-market demand+2.1
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.1
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+1.0
Territory qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score73.05
Published local-market alignment73.0

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
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.

Factor impact among the highest-rated franchise conceptsDiverging dot plot showing nonzero factor score contributions for the top 14 concepts. Zero-point concept-factor pairs are omitted, and factors with no nonzero contributions are excluded.+2.5+1.30.0-1.3-2.5
Target-market demand
#1 City Wide · Target-market demand · +2.1 pts1#2 Jan-Pro International · Target-market demand · +1.5 pts2#3 Rainbow International Restoration · Target-market demand · +0.3 pts3#4 HomeSmiles · Target-market demand · +0.8 pts4#5 ActionCOACH · Target-market demand · +0.4 pts5#6 FASTSIGNS · Target-market demand · +0.9 pts6
Property replacement-cycle demand
#3 Rainbow International Restoration · Property replacement-cycle demand · +1.1 pts3#7 PuroClean · Property replacement-cycle demand · +1.1 pts7#8 Aire Serv · Property replacement-cycle demand · +1.3 pts8#9 Pillar To Post Home Inspectors · Property replacement-cycle demand · +0.6 pts9#11 ZOOM DRAIN · Property replacement-cycle demand · +0.5 pts11#13 Mister Sparky Electric · Property replacement-cycle demand · +0.7 pts13#14 Mr. Rooter · Property replacement-cycle demand · +0.5 pts14
Labor and staffing friction
#3 Rainbow International Restoration · Labor and staffing friction · -0.2 pts3#7 PuroClean · Labor and staffing friction · -0.2 pts7#8 Aire Serv · Labor and staffing friction · -0.4 pts8#9 Pillar To Post Home Inspectors · Labor and staffing friction · -0.1 pts9#11 ZOOM DRAIN · Labor and staffing friction · -0.4 pts11#13 Mister Sparky Electric · Labor and staffing friction · -0.5 pts13#14 Mr. Rooter · Labor and staffing friction · -0.4 pts14
Transportation, routing, and parking
#1 City Wide · Transportation, routing, and parking · -0.1 pts1#2 Jan-Pro International · Transportation, routing, and parking · -0.3 pts2#3 Rainbow International Restoration · Transportation, routing, and parking · -0.5 pts3#4 HomeSmiles · Transportation, routing, and parking · -0.2 pts4#6 FASTSIGNS · Transportation, routing, and parking · -0.1 pts6#7 PuroClean · Transportation, routing, and parking · -0.6 pts7#8 Aire Serv · Transportation, routing, and parking · -0.5 pts8#9 Pillar To Post Home Inspectors · Transportation, routing, and parking · -0.4 pts9#11 ZOOM DRAIN · Transportation, routing, and parking · -0.8 pts11#12 Tiger Adjusters · Transportation, routing, and parking · -0.2 pts12#13 Mister Sparky Electric · Transportation, routing, and parking · -0.6 pts13#14 Mr. Rooter · Transportation, routing, and parking · -0.7 pts14
Referral ecosystem
#1 City Wide · Referral ecosystem · +1.0 pts1#2 Jan-Pro International · Referral ecosystem · +0.3 pts2#3 Rainbow International Restoration · Referral ecosystem · +0.7 pts3#4 HomeSmiles · Referral ecosystem · +0.8 pts4#5 ActionCOACH · Referral ecosystem · +0.9 pts5#6 FASTSIGNS · Referral ecosystem · +0.4 pts6#7 PuroClean · Referral ecosystem · +0.7 pts7#11 ZOOM DRAIN · Referral ecosystem · +0.6 pts11
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
ConceptTarget-market demandProperty replacement-cycle demandLabor and staffing frictionTransportation, routing, and parkingReferral 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.

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

Best Restoration franchise opportunities we assessed in Akron, Ohio

71.2

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
MetricRaw valuePeriodGeographyRole in analysisSource
Resident population estimate on July 1, 2025189,691peopleJuly 1, 2025 population estimate and 2020-2024 ACS characteristicsAkron, OhioContext only [4]
Population change from April 2020 estimate base to July 2025-0.4percentJuly 1, 2025 population estimate and 2020-2024 ACS characteristicsAkron, OhioContext only [4]
Households, 2020-202484,734householdsJuly 1, 2025 population estimate and 2020-2024 ACS characteristicsAkron, OhioContext only [4]
Owner-occupied housing unit rate, 2020-202450.7percentJuly 1, 2025 population estimate and 2020-2024 ACS characteristicsAkron, OhioContext only [4]
Total housing units in 2024 ACS 1-year profile94,725housing units2024 ACS 1-year estimates and 2020 Census profileAkron, OhioSupports research conclusion [5]
Housing units reported as built in 1939 or earlier on current secondary Census-derived page31,115housing unitsCurrent page accessed August 2026; underlying housing vintage not clearly labeled on the pageAkron, OhioSupports research conclusion [6]
Derived share of housing units built before 1970 from the secondary year-built table73.9percent of housing unitsCurrent page accessed August 2026; underlying housing vintage not clearly labeled on the pageAkron, OhioSupports research conclusion [6] [1]
Average first fall and last spring 32°F freeze datesaverage first fall freeze: October 19; average last spring freeze: April 29calendar dates1991-2020 climate normalsAkron-Canton, OhioSupports research conclusion [9]
1991-2020 annual precipitation and snowfall normalsprecipitation inches: 41.57; snowfall inches: 47.2inches per year1991-2020 climate normalsAkron-Canton, OhioSupports research conclusion [8]
Summa Health system scale headquartered in Akronmain hospitals: 2; health centers: 20; employees minimum: 8,500; employed physicians and advanced practice providers approx: 700organization countsCurrent organization facts accessed August 2026; licensed-bed statement as of March 2026Summa Health, headquartered in Akron, Ohio; five-county service areaUsed in scoring [10] [3]
Akron Children’s 2025 system scalehospitals: 2; pediatric offices: 44; urgent cares: 5; primary and specialty locations: 50; total outpatient visits: 1,637,838systemwide counts2025 facts and statisticsAkron Children’s regional system; main campus in Akron, OhioUsed in scoring [13]
University of Akron total fall 2025 enrollment15,318studentsFall 2025The University of Akron system; main campus in Akron and regional Wayne CampusUsed in scoring [14]
University of Akron competitive-bid thresholdsservices over usd: 100,000; materials over usd: 75,000usd purchase thresholdCurrent purchasing rules accessed August 2026The University of AkronUsed in scoring [15]
Summa Health vendor onboarding and credentialing requirementvendor registration required: yes; credentialing platforms: IntelliCentrics, Sec3ure, ReptraxrequirementsCurrent vendor rules accessed August 2026Summa Health systemSupports research conclusion [11]
Physicians represented by Summa Health Network2,300physicians overCurrent network facts accessed August 2026Summa Health Network member hospitals and community providersSupports research conclusion [12]
Selected May 2025 mean hourly wages in the Akron metropolitan area compared with the United Statesall 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 hourMay 2025Akron, OH Metropolitan Statistical AreaContext only [7]
Akron industrial vacancy rate reported for Q2 20254.1percentIndustrial metrics stated as Q2 2025Akron industrial marketContext only [19] [1]
Northeast Ohio industrial vacancy rate in Q4 20255.1percentQ4 2025Northeast Ohio / Cleveland-Akron industrial marketContext only [20]
Cleveland industrial market vacancy and availability in Q2 2026, retained as regional comparison contextvacancy percent: 3.9; availability percent: 6; under construction sqft: 324,000market metricsQ2 2026Cleveland industrial marketContext only [21]
Current Akron sign-code provisions relevant to nonconforming, downtown, and abandoned signssection 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 provisionsSupplement 63, codified through Ordinance No. 429-2025; current online code accessed August 2026City of Akron; applicability depends on sign status and districtConditional relationship [16] [2] [3]
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: 90-2026project segments2026 resurfacing authorizationVernon Odom Boulevard (SR 261), AkronConditional relationship [17]
Tallmadge Avenue resurfacing participatory agreement authorized in 2026yesproject authorized2026 road-resurfacing agreement authorizationTallmadge Avenue, AkronConditional 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

01

Measure the city

Collect reusable local metrics with source, period, geography, and confidence fields.

02

Profile each operating model

Map each franchise to controlled operating attributes and local sensitivities.

03

Apply scoreable effects

Score only effects that apply without an unresolved site, territory, customer, or project gate.

04

Preserve conditional effects

Keep location- or territory-dependent issues visible for diligence without automatically changing the score.

05

Test rank sensitivity

Remove one factor at a time from every concept and rerank using full-precision scores.

06

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 0.9.0 · Compiler 0.11.0-semantic-gating · Report generated August 12, 2026 (site timezone)

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

  1. 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.

  1. 1
    Structural 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

    Publisher
    Supplied research material
    Published
    February 24, 2026
    Data period
    Research cited in the supplied Akron section; selected claims independently checked through August 10, 2026
    Scope
    Akron, Ohio section within a multi-city research docket
    Locator
    Akron, Ohio section, pages 6-7
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 10, 2026
  2. 2
    Forensic 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

    Publisher
    Supplied research material
    Published
    February 19, 2026
    Data period
    Research cited in the supplied Akron section; current code and labor evidence rechecked through August 10, 2026
    Scope
    Akron, Ohio section within a multi-city municipal docket
    Locator
    Akron, Ohio section, pages 5-7
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 10, 2026
  3. 3
    Franchise 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

    Publisher
    Supplied research material
    Data period
    Undated supplied neighborhood research; six Akron records reviewed
    Scope
    Akron neighborhoods: Ellet, Firestone Park, Goodyear Heights, North Hill, West Akron, and Chapel Hill
    Locator
    Six rows where %city%=Akron and %state_name%=Ohio
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 10, 2026
  4. 4
    QuickFacts: 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

    Publisher
    U.S. Census Bureau
    Data period
    July 1, 2025 population estimate and 2020-2024 ACS characteristics
    Scope
    Akron city, Ohio
    Locator
    Population, housing, households, income and commute table
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  5. 5
    Akron city, Ohio - Census Bureau Profile

    Used for: Total housing units in 2024 ACS 1-year profile

    Publisher
    U.S. Census Bureau
    Data period
    2024 ACS 1-year estimates and 2020 Census profile
    Scope
    Akron city, Ohio
    Locator
    Housing and demographic profile
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  6. 6
    Akron, 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

    Publisher
    MapOfZipCodes
    Data period
    Current page accessed August 2026; underlying housing vintage not clearly labeled on the page
    Scope
    Akron, Ohio
    Locator
    Year that Homes were Built in Akron table
    Source tier
    Tier 4 · directional commercial/practitioner
    Accessed
    August 10, 2026
  7. 7
    Occupational 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

    Publisher
    U.S. Bureau of Labor Statistics
    Published
    July 20, 2026
    Data period
    May 2025
    Scope
    Akron, Ohio Metropolitan Statistical Area (Summit and Portage Counties)
    Locator
    Table A major occupational groups and Table 1
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  8. 8
    Akron-Canton Normals

    Used for: 1991-2020 annual precipitation and snowfall normals

    Publisher
    National Weather Service Cleveland
    Published
    May 5, 2021
    Data period
    1991-2020 climate normals
    Scope
    Akron-Canton climate station area
    Locator
    Monthly precipitation, temperature, and snowfall normals
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  9. 9
    Frost/Freeze Information

    Used for: Average first fall and last spring 32°F freeze dates

    Publisher
    National Weather Service Cleveland
    Published
    December 23, 2021
    Data period
    1991-2020 climate normals
    Scope
    Akron-Canton climate station area
    Locator
    Average first fall and last spring 32°F freeze dates
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  10. 10
    Summa Health System - About Us

    Used for: Summa Health system scale headquartered in Akron

    Publisher
    Summa Health
    Data period
    Current organization facts accessed August 2026; licensed-bed statement as of March 2026
    Scope
    Headquartered in Akron; healthcare system serves a five-county Northeast Ohio area
    Locator
    System size, employment, hospital and health-center facts
    Source tier
    Tier 2 · recognized institutional research/records
    Accessed
    August 10, 2026
  11. 11
    Vendor Resources - Supply Chain

    Used for: Summa Health vendor onboarding and credentialing requirement

    Publisher
    Summa Health
    Data period
    Current vendor rules accessed August 2026
    Scope
    Summa Health system, supply-chain office in Akron
    Locator
    Supply-chain mission, vendor registration and credentialing requirements
    Source tier
    Tier 2 · recognized institutional records
    Accessed
    August 10, 2026
  12. 12
    Summa Health Network | About Us

    Used for: Physicians represented by Summa Health Network

    Publisher
    Summa Health Network
    Data period
    Current network facts accessed August 2026
    Scope
    Summa Health physician-hospital network centered in Greater Akron and member hospitals
    Locator
    Network membership, credentialing and managed-care contracting sections
    Source tier
    Tier 2 · recognized institutional records
    Accessed
    August 10, 2026
  13. 13
    About Akron Children’s

    Used for: Akron Children’s 2025 system scale

    Publisher
    Akron Children’s
    Data period
    2025 facts and statistics
    Scope
    Regional pediatric health system with main campus in Akron; systemwide statistics
    Locator
    2025 Facts & Stats
    Source tier
    Tier 2 · recognized institutional records
    Accessed
    August 10, 2026
  14. 14
    The University of Akron Says Yes to Growth

    Used for: University of Akron total fall 2025 enrollment

    Publisher
    The University of Akron
    Published
    September 11, 2025
    Data period
    Fall 2025
    Scope
    University of Akron system; main campus in Akron with a regional Wayne Campus component
    Locator
    Fall 2025 enrollment paragraph
    Source tier
    Tier 2 · recognized institutional records
    Accessed
    August 10, 2026
  15. 15
    Forms and Information for Faculty/Staff

    Used for: University of Akron competitive-bid thresholds

    Publisher
    The University of Akron Purchasing
    Data period
    Current purchasing rules accessed August 2026
    Scope
    University of Akron purchases
    Locator
    Request for Waiver of Competitive Bidding section
    Source tier
    Tier 2 · recognized institutional records
    Accessed
    August 10, 2026
  16. 16
    Akron 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

    Publisher
    City of Akron via Municode
    Published
    February 19, 2026
    Data period
    Supplement 63, codified through Ordinance No. 429-2025; current online code accessed August 2026
    Scope
    City of Akron, with district- and sign-status-specific applicability
    Locator
    Sections 153.347, 153.355, 153.375, 153.380
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  17. 17
    March 30, 2026 Akron City Council Meeting

    Used for: Vernon Odom Boulevard (SR 261) resurfacing authorized to proceed in 2026

    Publisher
    Akron City Council
    Published
    March 30, 2026
    Data period
    2026 resurfacing authorization
    Scope
    Vernon Odom Boulevard (SR 261) from I-77 to Rhodes Avenue and Romig Road to Medina Line Road
    Locator
    Ordinance No. 90-2026
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  18. 18
    March 2, 2026 Akron City Council Meeting

    Used for: Tallmadge Avenue resurfacing participatory agreement authorized in 2026

    Publisher
    Akron City Council
    Published
    March 2, 2026
    Data period
    2026 road-resurfacing agreement authorization
    Scope
    Tallmadge Avenue corridor in Akron
    Locator
    Public Service ordinance authorizing ODOT participatory agreement for road resurfacing
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  19. 19
    Exploring Akron Commercial Real Estate: Market Overview

    Used for: Akron industrial vacancy rate reported for Q2 2025

    Publisher
    Hoff & Leigh
    Data period
    Industrial metrics stated as Q2 2025
    Scope
    Akron industrial market
    Locator
    Industrial Sector
    Source tier
    Tier 3 · credible industry
    Accessed
    August 10, 2026
  20. 20
    Northeast Ohio Industrial Market Report | 2025 Q4

    Used for: Northeast Ohio industrial vacancy rate in Q4 2025

    Publisher
    Colliers
    Published
    January 7, 2026
    Data period
    Q4 2025
    Scope
    Northeast Ohio / Cleveland-Akron industrial market
    Locator
    Vacancy, absorption, supply and construction summary
    Source tier
    Tier 3 · credible industry
    Accessed
    August 10, 2026
  21. 21
    Cleveland Industrial Figures Q2 2026

    Used for: Cleveland industrial market vacancy and availability in Q2 2026, retained as regional comparison context

    Publisher
    CBRE
    Published
    July 9, 2026
    Data period
    Q2 2026
    Scope
    Cleveland industrial market; comparative Northeast Ohio context rather than Akron city-specific inventory
    Locator
    Market summary
    Source tier
    Tier 3 · credible industry
    Accessed
    August 10, 2026

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.

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