Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in Denver, Colorado

We ranked 14 franchise concepts for Denver, Colorado using local demand, labor, transportation, real estate, regulation, and source-backed evidence.

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
13Sources used
11Primary 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

69.4 average across 2 concepts

Largest positive factorTarget-market demand

0.7 points average among 10 affected concepts

Largest negative factorLabor and staffing friction

0.7 points average reduction among 9 affected concepts

Most assumption-sensitive rankJan-Pro International

Tested rank range spans 10 positions

Executive conclusion

What the ranking means for Denver, Colorado

Our Denver, Colorado analysis favored concepts whose operating requirements matched the city’s strongest service-demand conditions without depending too heavily on inexpensive labor, easy routing, or low-cost commercial space. City Wide, ActionCOACH, and FASTSIGNS produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 10 concepts and added 0.7 points on average among them. Labor and staffing friction was the broadest negative pressure, reducing the 9 exposed concepts by 0.7 points on average. The result is not that the highest-ranked brand is universally better. It means that, under the documented city assumptions and the operating profiles available to us, its local advantages outweighed its modeled constraints more effectively. Territory boundaries, candidate capabilities, capital structure, franchise economics, current FDD disclosures, and local franchisee validation remain outside this ranking and can materially change the decision.

How this differs from a directory: the model does not award points for brand popularity, advertising placement, or referral compensation. It tests how documented local conditions interact with each concept’s operating requirements.

Best franchise opportunities assessed

Top 10 local-alignment scores from 14 concepts assessed

“Best” refers to modeled local operating alignment among the concepts assessed—not expected earnings, franchise-system quality, or candidate fit.

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
71.7Tier 3 · Mixed modeled alignment
+1.4 ptsTarget-market demand-0.4 ptsLabor and staffing frictionModerate evidence confidence
2ActionCOACHBusiness coaching
71.6Tier 3 · Mixed modeled alignment
+1.2 ptsTarget-market demand-0.1 ptsLabor and staffing frictionModerate evidence confidence
3FASTSIGNSSigns and graphics
71.6Tier 3 · Mixed modeled alignment
+1.3 ptsTarget-market demandNo material negative local adjustmentModerate evidence confidence
4HomeSmilesProperty maintenance services
70.7Tier 3 · Mixed modeled alignment
+0.8 ptsTarget-market demand-0.5 ptsLabor and staffing frictionModerate evidence confidence
5ZOOM DRAINDrain and sewer service
70.6Tier 3 · Mixed modeled alignment
+0.4 ptsReferral ecosystemNo material negative local adjustmentModerate evidence confidence
6Mister Sparky ElectricElectrical
70.6Tier 3 · Mixed modeled alignment
+0.5 ptsProperty replacement-cycle demandNo material negative local adjustmentModerate evidence confidence
7Pillar To Post Home InspectorsHome inspection
70.4Tier 3 · Mixed modeled alignment
+0.3 ptsReferral ecosystemNo material negative local adjustmentModerate evidence confidence
8Aire ServHVAC installation, repair, and maintenance
70.4Tier 3 · Mixed modeled alignment
+0.4 ptsProperty replacement-cycle demand-0.2 ptsLabor and staffing frictionModerate evidence confidence
9Tiger AdjustersPublic insurance adjusting
70.4Tier 3 · Mixed modeled alignment
+0.3 ptsReferral ecosystem-0.1 ptsLabor and staffing frictionModerate evidence confidence
10Mr. RooterPlumbing
70.4Tier 3 · Mixed modeled alignment
+0.2 ptsTarget-market demandNo material negative local adjustmentModerate evidence confidence

View all 14 score calculations

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.+2.0+1.00.0-1.0-2.0
Target-market demand
#1 City Wide · Target-market demand · +1.4 pts1#2 ActionCOACH · Target-market demand · +1.2 pts2#3 FASTSIGNS · Target-market demand · +1.3 pts3#4 HomeSmiles · Target-market demand · +0.8 pts4#5 ZOOM DRAIN · Target-market demand · +0.3 pts5#7 Pillar To Post Home Inspectors · Target-market demand · +0.1 pts7#8 Aire Serv · Target-market demand · +0.2 pts8#9 Tiger Adjusters · Target-market demand · +0.2 pts9#10 Mr. Rooter · Target-market demand · +0.2 pts10#12 Jan-Pro International · Target-market demand · +1.3 pts12
Property replacement-cycle demand
#6 Mister Sparky Electric · Property replacement-cycle demand · +0.5 pts6#8 Aire Serv · Property replacement-cycle demand · +0.4 pts8
Labor and staffing friction
#1 City Wide · Labor and staffing friction · -0.4 pts1#2 ActionCOACH · Labor and staffing friction · -0.1 pts2#4 HomeSmiles · Labor and staffing friction · -0.5 pts4#8 Aire Serv · Labor and staffing friction · -0.2 pts8#9 Tiger Adjusters · Labor and staffing friction · -0.1 pts9#11 PuroClean · Labor and staffing friction · -0.9 pts11#12 Jan-Pro International · Labor and staffing friction · -2.0 pts12#13 Rainbow International Restoration · Labor and staffing friction · -1.1 pts13#14 Workout Anytime · Labor and staffing friction · -1.1 pts14
Referral ecosystem
#1 City Wide · Referral ecosystem · +0.6 pts1#2 ActionCOACH · Referral ecosystem · +0.5 pts2#3 FASTSIGNS · Referral ecosystem · +0.3 pts3#4 HomeSmiles · Referral ecosystem · +0.5 pts4#5 ZOOM DRAIN · Referral ecosystem · +0.4 pts5#6 Mister Sparky Electric · Referral ecosystem · +0.1 pts6#7 Pillar To Post Home Inspectors · Referral ecosystem · +0.3 pts7#9 Tiger Adjusters · Referral ecosystem · +0.3 pts9#10 Mr. Rooter · Referral ecosystem · +0.2 pts10#11 PuroClean · Referral ecosystem · +0.4 pts11#12 Jan-Pro International · Referral ecosystem · +0.2 pts12#13 Rainbow International Restoration · Referral ecosystem · +0.4 pts13
Primary source records by factorTarget-market demand: [1] [2] [4] [5] [13]Property replacement-cycle demand: [1] [6] [7] [13]Competitive environment: [1] [2] [5]Labor and staffing friction: [3] [2]Transportation, routing, and parking: [10] [4] [5]Real estate and site feasibility: [4] [5] [6] [7] [8] [9]Sales and customer acquisition: [2] [11] [12] [13]Referral ecosystem: [2] [11] [12] [13]Territory quality: [1] [3] [4] [5] [10] [9]Regulatory and operating friction: [6] [7] [8] [9] [3]
View the chart data as a table
ConceptTarget-market demandProperty replacement-cycle demandLabor and staffing frictionReferral ecosystem
#1 City Wide+1.4 pts-0.4 pts+0.6 pts
#2 ActionCOACH+1.2 pts-0.1 pts+0.5 pts
#3 FASTSIGNS+1.3 pts+0.3 pts
#4 HomeSmiles+0.8 pts-0.5 pts+0.5 pts
#5 ZOOM DRAIN+0.3 pts+0.4 pts
#6 Mister Sparky Electric+0.5 pts+0.1 pts
#7 Pillar To Post Home Inspectors+0.1 pts+0.3 pts
#8 Aire Serv+0.2 pts+0.4 pts-0.2 pts
#9 Tiger Adjusters+0.2 pts-0.1 pts+0.3 pts
#10 Mr. Rooter+0.2 pts+0.2 pts
#11 PuroClean-0.9 pts+0.4 pts
#12 Jan-Pro International+1.3 pts-2.0 pts+0.2 pts
#13 Rainbow International Restoration-1.1 pts+0.4 pts
#14 Workout Anytime-1.1 pts

Rank stability

Which positions depend most on individual assumptions?

The line shows the best and worst rank reached when one factor was removed from every concept. A narrow range indicates a more stable position.

#1 City WideHighly sensitive · tested #1–#6
#2 ActionCOACHStable · tested #2–#2
#3 FASTSIGNSHighly sensitive · tested #1–#5
#4 HomeSmilesHighly sensitive · tested #4–#10
#5 ZOOM DRAINModerately sensitive · tested #3–#6
#6 Mister Sparky ElectricHighly sensitive · tested #1–#9
#7 Pillar To Post Home InspectorsHighly sensitive · tested #4–#10
#8 Aire ServHighly sensitive · tested #5–#10
#9 Tiger AdjustersModerately sensitive · tested #7–#10
#10 Mr. RooterHighly sensitive · tested #8–#13
#11 PuroCleanStable · tested #11–#12
#12 Jan-Pro InternationalHighly sensitive · tested #4–#14
#13 Rainbow International RestorationModerately sensitive · tested #12–#14
#14 Workout AnytimeStable · tested #13–#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.

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+1.4
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.4
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.6
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.65
Published local-market alignment71.7

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.

Interpretation

How to interpret the result

City Wide, ActionCOACH, FASTSIGNS led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to labor and staffing friction. The same city condition can help one operating model and constrain another, so score differences should be read through each concept's factor pattern rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for City Wide, FASTSIGNS, HomeSmiles; their ranks move more widely when individual factors are neutralized.

Factor impact

Which local conditions changed scores or rankings?

We neutralized one factor at a time, recalculated every score, and then measured both absolute score movement and changes in rank order.

Operating environment52Mixed or model dependent

Target-market demand

We tested how much of the city’s theoretical customer and business demand remained usable after operating friction.

We applied a measurable adjustment to 10 of 14 concepts. When we neutralized the factor and recalculated the table, 12 concepts changed position. HomeSmiles moved from #4 to #10, the largest movement among concepts directly affected by this factor.

Concepts adjusted10 of 14
Average among affected+0.7 pts
Average across all concepts+0.5 pts
Concepts changing rank12

Concepts helped most

City WideFacility management
+1.4 pts
FASTSIGNSSigns and graphics
+1.3 pts
Jan-Pro InternationalCommercial cleaning
+1.3 pts
ActionCOACHBusiness coaching
+1.2 pts
HomeSmilesProperty maintenance services
+0.8 pts
Measured but not differentiating in this concept set
  • Competitive environmentNo material score adjustment
  • Transportation, routing, and parkingNo material score adjustment
  • Real estate and site feasibilityNo material score adjustment
  • Sales and customer acquisitionNo material score adjustment
  • Territory qualityNo material score adjustment
  • Regulatory and operating frictionNo material score adjustment

Category comparisons

Best franchise categories we assessed in Denver, Colorado

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 Denver, Colorado

69.4

2 Restoration concepts qualified for comparison, with scores ranging from 69.3 to 69.5. PuroClean ranked highest at 69.5. Referral ecosystem added 0.4 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 1 point on average.

Interpret cautiously: A 0.2-point spread is too small to support a strong brand-level conclusion from city alignment alone.

Concepts compared
2
Score range
69.3–69.5
Category average
69.4
PuroClean69.5
Rainbow International Restoration69.3

Compare all assessed concepts

Explore the complete score calculations

14 concepts shown. Expand a concept to see how each factor was treated and the single next check most capable of changing the result.

#1Tier 3 · Mixed modeled alignment71.7

City Wide

Facility management · B2B facility management and vendor coordination

Increase +1.4 pts Target-market demandReduction -0.4 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline70.0
Target-market demand+1.4
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.4
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.6
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.65
Published local-market alignment71.7

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +1.4 pts
Tested rank range
#1–#6

Most important next check

How many qualified facility and property-management accounts must be reachable for City Wide to support its local contract pipeline?

#2Tier 3 · Mixed modeled alignment71.6

ActionCOACH

Business coaching · home-based B2B advisory

Increase +1.2 pts Target-market demandReduction -0.1 pts Labor and staffing friction

Rank sensitivity: Stable

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline70.0
Target-market demand+1.2
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.1
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.5
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.63
Published local-market alignment71.6

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +1.2 pts
Tested rank range
#2–#2

Most important next check

Which business-owner segments are expected to produce the most repeatable coaching demand for ActionCOACH?

#3Tier 3 · Mixed modeled alignment71.6

FASTSIGNS

Signs and graphics · B2B production and installation center

Increase +1.3 pts Target-market demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline70.0
Target-market demand+1.3
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot applicable to this operating model
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.3
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.57
Published local-market alignment71.6

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +1.3 pts
Tested rank range
#1–#5

Most important next check

Which local customer verticals are expected to generate repeat signage and graphics work for FASTSIGNS?

#4Tier 3 · Mixed modeled alignment70.7

HomeSmiles

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

Increase +0.8 pts Target-market demandReduction -0.5 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model 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 friction-0.5
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.5
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.72
Published local-market alignment70.7

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Adequate
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +0.8 pts
Tested rank range
#4–#10

Most important next check

How many qualified facility and property-management accounts must be reachable for HomeSmiles to support its local contract pipeline?

#5Tier 3 · Mixed modeled alignment70.6

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Increase +0.4 pts Referral ecosystemNo material negative local adjustment identified

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline70.0
Target-market demand+0.3
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot applicable to this operating model
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
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 qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.63
Published local-market alignment70.6

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Referral ecosystem +0.4 pts
Tested rank range
#3–#6

Most important next check

Which territory boundaries allow ZOOM DRAIN to meet response-time expectations without excessive cross-city travel?

#6Tier 3 · Mixed modeled alignment70.6

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +0.5 pts Property replacement-cycle demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model 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 frictionNot applicable to this operating model
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.1
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.59
Published local-market alignment70.6

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Property replacement-cycle demand +0.5 pts
Tested rank range
#1–#9

Most important next check

Which ZIP codes and appointment density assumptions define Mister Sparky Electric's practical service territory?

#7Tier 3 · Mixed modeled alignment70.4

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Increase +0.3 pts Referral ecosystemNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline70.0
Target-market demand+0.1
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot applicable to this operating model
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.3
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.45
Published local-market alignment70.4

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Referral ecosystem +0.3 pts
Tested rank range
#4–#10

Most important next check

Which transaction corridors and referral markets would define Pillar To Post Home Inspectors's practical inspection territory?

#8Tier 3 · Mixed modeled alignment70.4

Aire Serv

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

Increase +0.4 pts Property replacement-cycle demandReduction -0.2 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline70.0
Target-market demand+0.2
Property replacement-cycle demand+0.4
Competitive environmentNot included in the score
Labor and staffing friction-0.2
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystemNot applicable to this operating model
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.41
Published local-market alignment70.4

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Adequate
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Property replacement-cycle demand +0.4 pts
Tested rank range
#5–#10

Most important next check

Which ZIP codes and appointment density assumptions define Aire Serv's practical service territory?

#9Tier 3 · Mixed modeled alignment70.4

Tiger Adjusters

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

Increase +0.3 pts Referral ecosystemReduction -0.1 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline70.0
Target-market demand+0.2
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.1
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.3
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.37
Published local-market alignment70.4

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Adequate
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Referral ecosystem +0.3 pts
Tested rank range
#7–#10

Most important next check

Which ZIP codes and appointment density assumptions define Tiger Adjusters's practical service territory?

#10Tier 3 · Mixed modeled alignment70.4

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Increase +0.2 pts Target-market demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline70.0
Target-market demand+0.2
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot applicable to this operating model
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
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 qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.35
Published local-market alignment70.4

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +0.2 pts
Tested rank range
#8–#13

Most important next check

Which ZIP codes and appointment density assumptions define Mr. Rooter's practical service territory?

#11Tier 3 · Mixed modeled alignment69.5

PuroClean

Restoration · emergency property restoration

Increase +0.4 pts Referral ecosystemReduction -0.9 pts Labor and staffing friction

Rank sensitivity: Stable

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model 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 friction-0.9
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
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 qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.50
Published local-market alignment69.5

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
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -0.9 pts
Tested rank range
#11–#12

Most important next check

Which technical roles are hardest to staff for PuroClean, and what training pipeline reduces that exposure?

#12Tier 3 · Mixed modeled alignment69.4

Jan-Pro International

Commercial cleaning · recurring commercial route service

Increase +1.3 pts Target-market demandReduction -2.0 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline70.0
Target-market demand+1.3
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-2.0
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
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 qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.40
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
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -2.0 pts
Tested rank range
#4–#14

Most important next check

What opening staffing ratio, wage range, and retention plan does Jan-Pro International assume for frontline roles?

#13Tier 3 · Mixed modeled alignment69.3

Rainbow International Restoration

Restoration · emergency property restoration

Increase +0.4 pts Referral ecosystemReduction -1.1 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model 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 friction-1.1
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
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 qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.33
Published local-market alignment69.3

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
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -1.1 pts
Tested rank range
#12–#14

Most important next check

What opening staffing ratio, wage range, and retention plan does Rainbow International Restoration assume for frontline roles?

#14Tier 3 · Mixed modeled alignment68.9

Workout Anytime

Fitness · fixed-location membership fitness

No material positive local adjustment identifiedReduction -1.1 pts Labor and staffing friction

Rank sensitivity: Stable

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model 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 friction-1.1
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystemNot applicable to this operating model
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score68.90
Published local-market alignment68.9

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -1.1 pts
Tested rank range
#13–#14

Most important next check

What manager profile and compensation range does Workout Anytime assume before the owner can step back from daily operations?

Metric registry

The 22 local metrics behind this analysis

The registry exposes the raw value, period, geography, factor mapping, and source for every public metric used in the city research.

View all local metrics
MetricRaw valuePeriodGeographyHow usedSource
Resident population estimate on July 1, 2025740,613peopleJuly 1, 2025 population estimate; 2020-2024 American Community Survey measures; 2022 economic measuresDenver, ColoradoEvidence for Target-market demand, Territory quality [1]
Population change from the April 2020 estimate base to July 20253.5percentJuly 1, 2025 population estimate; 2020-2024 American Community Survey measures; 2022 economic measuresDenver, ColoradoEvidence for Target-market demand [1]
Estimated households during the 2020-2024 measurement period335,428householdsJuly 1, 2025 population estimate; 2020-2024 American Community Survey measures; 2022 economic measuresDenver, ColoradoEvidence for Target-market demand, Territory quality [1]
Median housing-cost and household-income measuresmedian owner occupied home value usd: 616,000; median monthly owner cost with mortgage usd: 2,466; median monthly gross rent usd: 1,831; median household income usd: 94,718; owner occupied housing rate percent: 48.8mixed housing and income metricsJuly 1, 2025 population estimate; 2020-2024 American Community Survey measures; 2022 economic measuresDenver, ColoradoEvidence for Target-market demand, Real estate and site feasibility, Labor and staffing friction [1]
Selected local sales and receipts in 2022retail sales usd: 14,963,195,000; accommodation and food services sales usd: 5,669,146,000; health care and social assistance receipts usd: 9,648,534,000; transportation and warehousing receipts usd: 13,689,732,000usdJuly 1, 2025 population estimate; 2020-2024 American Community Survey measures; 2022 economic measuresDenver, ColoradoEvidence for Target-market demand, Sales and customer acquisition, Referral ecosystem [1]
Preliminary total nonfarm employment in June 20261,655,900jobsJune 2026 preliminary labor-force and nonfarm employment data; May 2026 CPIDenver-Aurora-Centennial, Colorado metropolitan statistical areaEvidence for Target-market demand, Labor and staffing friction, Referral ecosystem [2]
Preliminary employment in selected industry supersectors in June 2026professional and business services jobs: 317,500; education and health services jobs: 227,800; government jobs: 232,400; leisure and hospitality jobs: 185,500; mining logging and construction jobs: 115,100; trade transportation and utilities jobs: 286,300jobsJune 2026 preliminary labor-force and nonfarm employment data; May 2026 CPIDenver-Aurora-Centennial, Colorado metropolitan statistical areaEvidence for Target-market demand, Labor and staffing friction, Sales and customer acquisition, Referral ecosystem [2]
Preliminary unemployment rate in June 20263.9percentJune 2026 preliminary labor-force and nonfarm employment data; May 2026 CPIDenver-Aurora-Centennial, Colorado metropolitan statistical areaEvidence for Labor and staffing friction [2]
Denver citywide minimum wage effective in 202619.29usd per hourRate effective January 1 through December 31, 2026; jurisdiction and exclusions current when accessedCity and County of DenverEvidence for Labor and staffing friction, Territory quality [3]
Denver minimum-wage geographic and work-duration scopeapplies to work performed within city and county: yes; outside denver excluded: yes; traveling through without work excluded: yes; less than four hours per week within denver excluded: yes; maximum tipped cash wage credit usd per hour: 3.02; tipped credit limited to food and beverage workers: yesrule conditionsRate effective January 1 through December 31, 2026; jurisdiction and exclusions current when accessedCity and County of DenverEvidence for Labor and staffing friction, Territory quality [3]
Average downtown weekday return-to-office activity in March 202674percent of publisher baselineMarch 2026 return-to-office and pedestrian activity; first-quarter 2026 office and business-opening measuresDowntown DenverEvidence for Target-market demand, Territory quality [4]
Downtown pedestrian activity relative to March 201984percent of march 2019 levelMarch 2026 return-to-office and pedestrian activity; first-quarter 2026 office and business-opening measuresDowntown DenverEvidence for Target-market demand, Territory quality [4]
Downtown office vacancy rate at the end of Q2 202629percentJune 2026 visitation and business openings; Q2 2026 office market; May 2026 hotel measuresDowntown DenverEvidence for Target-market demand, Real estate and site feasibility, Territory quality [5]
New downtown businesses reported from January through June 202634businessesJune 2026 visitation and business openings; Q2 2026 office market; May 2026 hotel measuresDowntown DenverEvidence for Target-market demand, Competitive environment, Territory quality [5]
Year-over-year change in average daily activity on 16th Street in June 202611percentJune 2026 visitation and business openings; Q2 2026 office market; May 2026 hotel measures16th Street, Downtown DenverEvidence for Target-market demand, Territory quality [5]
Energize Denver building-size categories and current requirementssmall building minimum sqft: 5,000; small building maximum sqft: 24,999; small building requirement: lighting or renewable energy requirements; large building minimum sqft: 25,000; large building requirements: annual benchmarking, building type specific energy efficiency requirements; heating or cooling electrification mandate: no; proposed rule hearing date: 2026-08-10policy thresholdsOrdinance passed in 2021; rules most recently updated in 2025; proposed rule hearing scheduled August 10, 2026Denver buildings within specified size classesEvidence for Property replacement-cycle demand, Regulatory and operating friction, Real estate and site feasibility [6]
Green Buildings Ordinance project thresholds and exclusionsnew building minimum sqft: 25,000; existing building roof permit minimum building sqft: 25,000; addition minimum sqft: 25,000; excluded property types: parking structures, temporary buildings, air supported structures, greenhouses, single family homes, duplexes, qualifying attached low rise unitspolicy thresholdsEffective November 2, 2018; current applicability and exclusions accessed July 2026Qualifying Denver development, addition, and roof-permit projectsEvidence for Property replacement-cycle demand, Regulatory and operating friction, Real estate and site feasibility [7]
General permit gates for business signsmost private property signs require zoning permit: yes; signs extending into public right of way require doti permit: yes; electrical sign work requires electrical permit: yespermit conditionsCurrent permit guidance accessed July 2026Denver, ColoradoEvidence for Regulatory and operating friction, Real estate and site feasibility [8]
Historic, landmark, downtown, campus, and large-facility signage controlshistoric or landmark plastic signs allowed: no; historic or landmark internally illuminated signs allowed: no; historic or landmark exposed conduit allowed: no; comprehensive sign plan required for large facilities: yes; upper story wall signs in lower downtown require comprehensive sign plan: yes; comprehensive sign plan preapplication meeting required: yesdesign review conditionsCurrent landmark, historic-district, downtown, campus, and comprehensive-sign-plan guidance accessed July 2026Denver landmarks, historic districts, specified downtown properties, campuses, and large facilitiesEvidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality [9]
East Colfax BRT construction geography and scheduleconstruction start: 2024-10-01; scheduled construction end year: 2,027; western terminus: Broadway; dedicated center running segment eastern limit: Yosemite Street; project eastern terminus: R Line station at I-225; jurisdictions: Denver, Auroraproject schedule and geographyConstruction began in October 2024 and is scheduled to proceed through 2027; current project information accessed July 2026East Colfax Avenue from Broadway to I-225Evidence for Transportation, routing, and parking, Territory quality, Target-market demand [10]
City purchasing and solicitation access methodscompetitive bidding used: yes; direct open market purchases used: yes; bidnet vendor registration free: yes; category matching controls automatic notifications: yes; pre proposal meetings may be used: yes; example upcoming service categories: moving services, commercial laundry, vending services, election logistics, on call concrete repair and maintenance, snow removal services, landscape services, greenhouse roof replacementprocurement conditionsCurrent procurement overview accessed July 2026City and County of Denver agenciesEvidence for Sales and customer acquisition, Referral ecosystem [11] [12]
Facilities and agencies supported by Denver General Servicescity maintained facilities and structures more than: 140; managed facility area sqft: 6,000,000; supported agencies departments and offices more than: 40institutional facility metricsCurrent department operating scope accessed July 2026City and County of DenverEvidence for Target-market demand, Sales and customer acquisition, Referral ecosystem, Property replacement-cycle demand [13]

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.

Why every concept begins at 70.0

70.0 is a neutral display baseline shared by every concept. Local conditions can move a score by no more than 18.0 points in either direction under the current model. It is not a percentage, probability, or estimate of investment quality.

Precision and materiality

Calculations use full-precision values. Published scores and factor contributions display one decimal place, while ranks use full precision. Effects smaller than 0.1 points are identified as below the publication threshold rather than presented as a meaningful zero.

Score tiers

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 0.9.10-nonzero-markers-only · Analysis updated August 5, 2026

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 4, 2026Added conditional scoring gates, factor-status transparency, rank-sensitivity testing, metric registry output, and factor-impact visualization data.

Corrections policy

Corrected source, geography, or operating-profile evidence triggers a full compiler rerun so every dependent score and visual is recalculated.

Source registry

Evidence represented in this report

Each source identifies its period, scope, and the local metrics it supports. Internal or supplied research is not presented as independently accessible evidence.

  1. 1
    QuickFacts: Denver city, Colorado

    Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Estimated households during the 2020-2024 measurement period, Median housing-cost and household-income measures, and Selected local sales and receipts in 2022

    Publisher
    U.S. Census Bureau
    Published
    May 14, 2026
    Data period
    July 1, 2025 population estimate; 2020-2024 American Community Survey measures; 2022 economic measures
    Scope
    Denver city, Colorado
    Locator
    Population, housing, household, income, commuting, labor-force, and business-sales table
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  2. 2
    Denver-Aurora-Centennial, CO Economy at a Glance

    Used for: Preliminary total nonfarm employment in June 2026, Preliminary employment in selected industry supersectors in June 2026, and Preliminary unemployment rate in June 2026

    Publisher
    U.S. Bureau of Labor Statistics
    Published
    July 1, 2026
    Data period
    June 2026 preliminary labor-force and nonfarm employment data; May 2026 CPI
    Scope
    Denver-Aurora-Centennial metropolitan statistical area
    Locator
    Economy at a Glance table, June 2026 column
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  3. 3
    Denver's Minimum Wage in 2026: $19.29/hour

    Used for: Denver citywide minimum wage effective in 2026 and Denver minimum-wage geographic and work-duration scope

    Publisher
    Denver Auditor’s Office, Denver Labor
    Data period
    Rate effective January 1 through December 31, 2026; jurisdiction and exclusions current when accessed
    Scope
    Work performed within the City and County of Denver, subject to stated exclusions
    Locator
    2026 wage rate, annual CPI adjustment, jurisdiction, tipped credit, and exclusions
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  4. 4
    March 2026 High Frequency Update: Downtown Denver Achieves Highest Post-Pandemic Return-to-Office Rate

    Used for: Average downtown weekday return-to-office activity in March 2026 and Downtown pedestrian activity relative to March 2019

    Publisher
    Downtown Denver Partnership
    Published
    April 8, 2026
    Data period
    March 2026 return-to-office and pedestrian activity; first-quarter 2026 office and business-opening measures
    Scope
    Downtown Denver and center-city submarkets as defined by the publisher
    Locator
    Return-to-office, pedestrian recovery, vacancy, absorption, occupied-unit, and ground-floor business sections
    Source tier
    Tier 3 · credible industry
    Accessed
    July 31, 2026
  5. 5
    June 2026 Data Update | A Month of Energy, Events & Summer Activations

    Used for: Downtown office vacancy rate at the end of Q2 2026, New downtown businesses reported from January through June 2026, and Year-over-year change in average daily activity on 16th Street in June 2026

    Publisher
    Downtown Denver Partnership
    Published
    July 16, 2026
    Data period
    June 2026 visitation and business openings; Q2 2026 office market; May 2026 hotel measures
    Scope
    Downtown Denver and 16th Street as defined by the publisher
    Locator
    Visitation, hospitality, office-market, and new-business paragraphs
    Source tier
    Tier 3 · credible industry
    Accessed
    July 31, 2026
  6. 6
    Energize Denver Building Performance Policy

    Used for: Energize Denver building-size categories and current requirements

    Publisher
    City and County of Denver, Office of Climate Action, Sustainability and Resiliency
    Data period
    Ordinance passed in 2021; rules most recently updated in 2025; proposed rule hearing scheduled August 10, 2026
    Scope
    Covered buildings within the City and County of Denver
    Locator
    Building-size categories, benchmarking and energy-efficiency requirements, small-building requirements, and public-hearing notice
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  7. 7
    Denver's Green Buildings Ordinance

    Used for: Green Buildings Ordinance project thresholds and exclusions

    Publisher
    City and County of Denver, Community Planning and Development
    Data period
    Effective November 2, 2018; current applicability and exclusions accessed July 2026
    Scope
    Qualifying Denver development, addition, and roof-permit projects
    Locator
    Applicability thresholds, covered project types, exclusions, and compliance purpose
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  8. 8
    Signs

    Used for: General permit gates for business signs

    Publisher
    City and County of Denver, Community Planning and Development
    Data period
    Current permit guidance accessed July 2026
    Scope
    Signs on private property and signs extending into Denver public right-of-way
    Locator
    Zoning, right-of-way, and electrical permit requirements
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  9. 9
    Signage Design Review

    Used for: Historic, landmark, downtown, campus, and large-facility signage controls

    Publisher
    City and County of Denver, Landmark Preservation
    Data period
    Current landmark, historic-district, downtown, campus, and comprehensive-sign-plan guidance accessed July 2026
    Scope
    Individually designated landmarks, historic districts, specified downtown locations, campuses, and large facilities in Denver
    Locator
    Prohibited sign components, comprehensive sign-plan triggers, and pre-application requirement
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  10. 10
    East Colfax Avenue Bus Rapid Transit

    Used for: East Colfax BRT construction geography and schedule

    Publisher
    City and County of Denver, Department of Transportation and Infrastructure
    Data period
    Construction began in October 2024 and is scheduled to proceed through 2027; current project information accessed July 2026
    Scope
    East Colfax Avenue from Broadway through Denver to the R Line station at I-225 in Aurora
    Locator
    Project alignment, dedicated-lane segment, construction sequencing, and current construction information
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  11. 11
    Denver Purchasing Division

    Used for: City purchasing and solicitation access methods

    Publisher
    City and County of Denver, Department of General Services
    Data period
    Current procurement overview accessed July 2026
    Scope
    City and County of Denver agency procurement
    Locator
    Competitive bidding and direct open-market purchasing overview
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  12. 12
    Bidding Opportunities

    Used for: City purchasing and solicitation access methods

    Publisher
    City and County of Denver, Department of General Services
    Data period
    Current BidNet registration, notification, pre-proposal, and upcoming-opportunity guidance accessed July 2026
    Scope
    City and County of Denver solicitations
    Locator
    Vendor registration, category matching, solicitation notices, pre-proposal meetings, and example upcoming service opportunities
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  13. 13
    Department of General Services

    Used for: Facilities and agencies supported by Denver General Services

    Publisher
    City and County of Denver
    Data period
    Current department operating scope accessed July 2026
    Scope
    City and County of Denver facilities and departments
    Locator
    Department service scope, city-maintained facility count and area, and supported agency count
    Source tier
    Tier 1 · government
    Accessed
    July 31, 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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