Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in Tucson, Arizona

We ranked 14 franchise concepts for Tucson, Arizona 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
25Sources used
17Primary sources
24Local 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

70.5 average across 2 concepts

Largest positive factorReferral ecosystem

0.3 points average among 11 affected concepts

Most assumption-sensitive rankJan-Pro International

Tested rank range spans 12 positions

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
71.3Tier 3 · Mixed modeled alignment
+1.0 ptsTarget-market demandNo material negative local adjustmentModerate evidence confidence
2ActionCOACHBusiness coaching
70.9Tier 3 · Mixed modeled alignment
+0.6 ptsReferral ecosystemNo material negative local adjustmentModerate evidence confidence
3HomeSmilesProperty maintenance services
70.8Tier 3 · Mixed modeled alignment
+0.4 ptsReferral ecosystemNo material negative local adjustmentModerate evidence confidence
4Jan-Pro InternationalCommercial cleaning
70.7Tier 3 · Mixed modeled alignment
+0.7 ptsTarget-market demandNo material negative local adjustmentModerate evidence confidence
5Rainbow International RestorationRestoration
70.6Tier 3 · Mixed modeled alignment
+0.4 ptsReferral ecosystemNo material negative local adjustmentModerate evidence confidence
6ZOOM DRAINDrain and sewer service
70.6Tier 3 · Mixed modeled alignment
+0.3 ptsReferral ecosystemNo material negative local adjustmentModerate evidence confidence
7FASTSIGNSSigns and graphics
70.6Tier 3 · Mixed modeled alignment
+0.5 ptsTarget-market demandNo material negative local adjustmentModerate evidence confidence
8PuroCleanRestoration
70.5Tier 3 · Mixed modeled alignment
+0.4 ptsReferral ecosystemNo material negative local adjustmentModerate evidence confidence
9Pillar To Post Home InspectorsHome inspection
70.5Tier 3 · Mixed modeled alignment
+0.4 ptsReferral ecosystemNo material negative local adjustmentModerate evidence confidence
10Tiger AdjustersPublic insurance adjusting
70.4Tier 3 · Mixed modeled alignment
+0.4 ptsReferral ecosystemNo 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.+1.0+0.50.0-0.5-1.0
Target-market demand
#1 City Wide · Target-market demand · +1.0 pts1#2 ActionCOACH · Target-market demand · +0.3 pts2#3 HomeSmiles · Target-market demand · +0.3 pts3#4 Jan-Pro International · Target-market demand · +0.7 pts4#5 Rainbow International Restoration · Target-market demand · +0.1 pts5#7 FASTSIGNS · Target-market demand · +0.5 pts7
Property replacement-cycle demand
#5 Rainbow International Restoration · Property replacement-cycle demand · +0.1 pts5#6 ZOOM DRAIN · Property replacement-cycle demand · +0.3 pts6#8 PuroClean · Property replacement-cycle demand · +0.1 pts8#9 Pillar To Post Home Inspectors · Property replacement-cycle demand · +0.1 pts9#11 Mr. Rooter · Property replacement-cycle demand · +0.2 pts11#12 Aire Serv · Property replacement-cycle demand · +0.3 pts12#13 Mister Sparky Electric · Property replacement-cycle demand · +0.2 pts13
Referral ecosystem
#1 City Wide · Referral ecosystem · +0.4 pts1#2 ActionCOACH · Referral ecosystem · +0.6 pts2#3 HomeSmiles · Referral ecosystem · +0.4 pts3#5 Rainbow International Restoration · Referral ecosystem · +0.4 pts5#6 ZOOM DRAIN · Referral ecosystem · +0.3 pts6#7 FASTSIGNS · Referral ecosystem · +0.1 pts7#8 PuroClean · Referral ecosystem · +0.4 pts8#9 Pillar To Post Home Inspectors · Referral ecosystem · +0.4 pts9#10 Tiger Adjusters · Referral ecosystem · +0.4 pts10#11 Mr. Rooter · Referral ecosystem · +0.1 pts11#13 Mister Sparky Electric · Referral ecosystem · +0.1 pts13
Primary source records by factorTarget-market demand: [4] [5] [12] [11] [16] [1]Property replacement-cycle demand: [5] [6] [1] [7] [8]Competitive environment: [4] [15] [16] [3]Labor and staffing friction: [10] [11] [9] [12] [25] [2] [1]Transportation, routing, and parking: [17] [18] [3]Real estate and site feasibility: [15] [16] [22] [23] [1]Sales and customer acquisition: [13] [14] [4] [3]Referral ecosystem: [12] [13] [11] [14]Territory quality: [3] [4] [15] [16] [9] [23] [24] [17]Regulatory and operating friction: [19] [20] [21] [22] [23] [9] [24] [25] [2]
View the chart data as a table
ConceptTarget-market demandProperty replacement-cycle demandReferral ecosystem
#1 City Wide+1.0 pts+0.4 pts
#2 ActionCOACH+0.3 pts+0.6 pts
#3 HomeSmiles+0.3 pts+0.4 pts
#4 Jan-Pro International+0.7 pts
#5 Rainbow International Restoration+0.1 pts+0.1 pts+0.4 pts
#6 ZOOM DRAIN+0.3 pts+0.3 pts
#7 FASTSIGNS+0.5 pts+0.1 pts
#8 PuroClean+0.1 pts+0.4 pts
#9 Pillar To Post Home Inspectors+0.1 pts+0.4 pts
#10 Tiger Adjusters+0.4 pts
#11 Mr. Rooter+0.2 pts+0.1 pts
#12 Aire Serv+0.3 pts
#13 Mister Sparky Electric+0.2 pts+0.1 pts
#14 Workout Anytime

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–#7
#2 ActionCOACHHighly sensitive · tested #1–#6
#3 HomeSmilesModerately sensitive · tested #3–#6
#4 Jan-Pro InternationalHighly sensitive · tested #2–#14
#5 Rainbow International RestorationHighly sensitive · tested #5–#10
#6 ZOOM DRAINHighly sensitive · tested #2–#10
#7 FASTSIGNSHighly sensitive · tested #3–#12
#8 PuroCleanHighly sensitive · tested #3–#12
#9 Pillar To Post Home InspectorsHighly sensitive · tested #4–#11
#10 Tiger AdjustersHighly sensitive · tested #8–#13
#11 Mr. RooterModerately sensitive · tested #8–#11
#12 Aire ServHighly sensitive · tested #4–#13
#13 Mister Sparky ElectricHighly sensitive · tested #9–#13
#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+1.0
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
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 qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.35
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.

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, HomeSmiles led because their operating requirements captured more of the local support from referral ecosystem while remaining less exposed to competitive environment. 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, ActionCOACH, Jan-Pro International; 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 environment51Mixed 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 6 of 14 concepts. When we neutralized the factor and recalculated the table, 13 concepts changed position. Jan-Pro International moved from #4 to #14, the largest movement among concepts directly affected by this factor.

Concepts adjusted6 of 14
Average among affected+0.5 pts
Average across all concepts+0.2 pts
Concepts changing rank13

Concepts helped most

City WideFacility management
+1.0 pts
Jan-Pro InternationalCommercial cleaning
+0.7 pts
FASTSIGNSSigns and graphics
+0.5 pts
HomeSmilesProperty maintenance services
+0.3 pts
ActionCOACHBusiness coaching
+0.3 pts
Measured but not differentiating in this concept set
  • Competitive environmentNo material score adjustment
  • Labor and staffing frictionNo 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 Tucson, Arizona

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 Tucson, Arizona

70.5

2 Restoration concepts qualified for comparison, with scores ranging from 70.5 to 70.6. Rainbow International Restoration ranked highest at 70.6. Referral ecosystem added 0.4 points on average among the affected concepts.

Interpret cautiously: A 0.1-point spread is too small to support a strong brand-level conclusion from city alignment alone.

Concepts compared
2
Score range
70.5–70.6
Category average
70.5
Rainbow International Restoration70.6
PuroClean70.5

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 alignment71.3

City Wide

Facility management · B2B facility management and vendor coordination

Increase +1.0 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+1.0
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
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 qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.35
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
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +1.0 pts
Tested rank range
#1–#7

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 alignment70.9

ActionCOACH

Business coaching · home-based B2B advisory

Increase +0.6 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+0.3
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
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 qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.89
Published local-market alignment70.9

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
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Referral ecosystem +0.6 pts
Tested rank range
#1–#6

Most important next check

Which professional referral channels are expected to matter most to ActionCOACH, and what local relationship count supports the plan?

#3Tier 3 · Mixed modeled alignment70.8

HomeSmiles

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

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 frictionMeasured; no meaningful local adjustment
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 qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.75
Published local-market alignment70.8

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
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 property-management partners are expected to produce recurring opportunities for HomeSmiles?

#4Tier 3 · Mixed modeled alignment70.7

Jan-Pro International

Commercial cleaning · recurring commercial route service

Increase +0.7 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+0.7
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
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 qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.71
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
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +0.7 pts
Tested rank range
#2–#14

Most important next check

What concentration of recurring commercial accounts is required for Jan-Pro International to build an efficient local book of business?

#5Tier 3 · Mixed modeled alignment70.6

Rainbow International Restoration

Restoration · emergency property restoration

Increase +0.4 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 demand+0.1
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
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 qualityNot included in the score
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
Adequate
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
#5–#10

Most important next check

Which ZIP codes can Rainbow International Restoration serve within its target emergency-response time under normal and peak traffic conditions?

#6Tier 3 · Mixed modeled alignment70.6

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route 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 demandNot applicable to this operating model
Property replacement-cycle demand+0.3
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
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 qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.57
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
Adequate
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
#2–#10

Most important next check

Where must ZOOM DRAIN stage crews and vehicles to protect after-hours response times across the proposed territory?

#7Tier 3 · Mixed modeled alignment70.6

FASTSIGNS

Signs and graphics · B2B production and installation center

Increase +0.5 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+0.5
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
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 qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.56
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
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +0.5 pts
Tested rank range
#3–#12

Most important next check

Which use, storage, ventilation, or permit requirements apply to FASTSIGNS's proposed production or service base?

#8Tier 3 · Mixed modeled alignment70.5

PuroClean

Restoration · emergency property restoration

Increase +0.4 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 demandNot applicable to this operating model
Property replacement-cycle demand+0.1
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
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 qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.49
Published local-market alignment70.5

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
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Referral ecosystem +0.4 pts
Tested rank range
#3–#12

Most important next check

What dispatch zones and maximum drive-time assumptions does PuroClean use for urgent service calls?

#9Tier 3 · Mixed modeled alignment70.5

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Increase +0.4 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 demandNot applicable to this operating model
Property replacement-cycle demand+0.1
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
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 qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.48
Published local-market alignment70.5

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
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Referral ecosystem +0.4 pts
Tested rank range
#4–#11

Most important next check

What service radius and drive-time ceiling has Pillar To Post Home Inspectors validated for the proposed territory?

#10Tier 3 · Mixed modeled alignment70.4

Tiger Adjusters

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

Increase +0.4 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 demandNot applicable to this operating model
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
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 qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.36
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
Adequate
Franchise-profile completeness
Adequate
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Referral ecosystem +0.4 pts
Tested rank range
#8–#13

Most important next check

Which professional referral channels are expected to matter most to Tiger Adjusters, and what local relationship count supports the plan?

#11Tier 3 · Mixed modeled alignment70.4

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Increase +0.2 pts Property replacement-cycle demandNo 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 demandNot applicable to this operating model
Property replacement-cycle demand+0.2
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
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 qualityNot included in the score
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
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Property replacement-cycle demand +0.2 pts
Tested rank range
#8–#11

Most important next check

How many field vehicles must Mr. Rooter deploy, and where would they begin and end each service day?

#12Tier 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 +0.3 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+0.3
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
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 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
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Property replacement-cycle demand +0.3 pts
Tested rank range
#4–#13

Most important next check

What daily vehicle utilization and travel-time allowance are built into Aire Serv's operating plan?

#13Tier 3 · Mixed modeled alignment70.3

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +0.2 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+0.2
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
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 qualityNot included in the score
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.29
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
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Property replacement-cycle demand +0.2 pts
Tested rank range
#9–#13

Most important next check

What daily vehicle utilization and travel-time allowance are built into Mister Sparky Electric's operating plan?

#14Tier 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: 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 frictionMeasured; no meaningful local adjustment
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 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
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
0.0 pts
Tested rank range
#13–#14

Most important next check

Which zoning, occupancy, and permit requirements must be cleared before Workout Anytime approves a customer-facing site?

Metric registry

The 24 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, 2025548,371peopleJuly 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business dataTucson, ArizonaEvidence for Target-market demand, Territory quality [4]
Population change from the April 2020 estimate base to July 20251.1percentJuly 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business dataTucson, ArizonaEvidence for Target-market demand [4]
Households in the 2020-2024 QuickFacts reference period228,020householdsJuly 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business dataTucson, ArizonaEvidence for Target-market demand, Territory quality [4]
Owner-occupied housing unit rate51.8percentJuly 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business dataTucson, ArizonaEvidence for Target-market demand, Property replacement-cycle demand [4]
All employer firms in the QuickFacts business reference year8,973employer firmsJuly 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business dataTucson, ArizonaEvidence for Target-market demand, Referral ecosystem, Competitive environment, Sales and customer acquisition [4]
Total housing units in the 2024 ACS 5-year housing profile247,823housing units2020-2024 American Community Survey 5-year estimatesTucson, ArizonaEvidence for Target-market demand, Property replacement-cycle demand, Territory quality [5]
Tucson Water reports hard-water mineral buildup that can shorten appliance life and clog pipeshard water present: yes; mineral buildup can shorten appliance life: yes; mineral buildup can clog pipes: yes; lime scale can restrict pipe flow: yes; lime scale can reduce water heater efficiency: yesdocumented condition flagsCurrent guidance accessed August 2026Tucson Water service areaEvidence for Property replacement-cycle demand [7] [8]
City of Tucson minimum wage effective for 202615.45usd per hourRate effective January 1-December 31, 2026City of Tucson; covered employees perform at least five hours of work per pay cycle within city boundariesEvidence for Labor and staffing friction, Regulatory and operating friction [9] [2]
Mean hourly wage for all occupations in the Tucson MSA versus the United Statestucson msa: 30.38; united states: 33.54usd per hourMay 2025 occupational employment and wage estimates; release reissued June 24, 2026Tucson, AZ MSA (Pima County)Evidence for Labor and staffing friction [10]
Selected major occupational-group mean hourly wages in the Tucson MSA versus U.S. averagesfood preparation and serving: tucson: 18.83, us: 17.86; building and grounds: tucson: 18.58, us: 19.66; sales: tucson: 22.64, us: 26.43; office and admin: tucson: 22.92, us: 24.79; construction and extraction: tucson: 26.71, us: 31.42; installation maintenance repair: tucson: 27.82, us: 30.44; transportation material moving: tucson: 21.95, us: 23.96usd per hourMay 2025 occupational employment and wage estimates; release reissued June 24, 2026Tucson, AZ MSA (Pima County)Evidence for Labor and staffing friction [10]
Tucson MSA unemployment rate in May 2026 preliminary data4.7percentLabor force through May 2026 and nonfarm employment through June 2026 preliminaryTucson, AZ MSAEvidence for Labor and staffing friction [11]
University of Arizona total Fall 2025 enrollment54,384studentsFall 2025 enrollment and current employee fact setUniversity of ArizonaEvidence for Target-market demand, Referral ecosystem, Sales and customer acquisition [12]
University of Arizona employees including graduate assistants15,764employeesFall 2025 enrollment and current employee fact setUniversity of ArizonaEvidence for Target-market demand, Referral ecosystem, Labor and staffing friction, Sales and customer acquisition [12]
Selected Tucson MSA nonfarm employment sectors in June 2026 preliminary dataprofessional and business services: 48,500; education and health services: 74,900; government: 71,700jobsLabor force through May 2026 and nonfarm employment through June 2026 preliminaryTucson, AZ MSAEvidence for Target-market demand, Referral ecosystem, Labor and staffing friction [11]
Tucson industrial market conditions in Q2 2026vacancy rate percent: 9; availability rate percent: 10.7; cumulative net absorption q3 2025 to q2 2026 sqft: -557,000; q2 2026 net absorption sqft: 49,000; average asking rent reported usd per sqft: 0.83; under construction sqft: 315,000mixed market metricsQ2 2026Tucson industrial marketEvidence for Real estate and site feasibility, Territory quality [15]
Tucson office market conditions in Q2 2026vacancy rate percent: 13.9; availability rate percent: 14.6; q2 2026 net absorption sqft: 164,000; average asking rent usd per sqft: 22.24mixed market metricsQ2 2026Tucson office marketEvidence for Real estate and site feasibility, Target-market demand, Territory quality [16]
I-10 Kino to Country Club reconstruction and widening is under construction with completion scheduled for summer 2028status: under construction; project value usd: 600,000,000; scheduled completion: summer 2028project statusActive construction; scheduled completion summer 2028I-10 southeast of downtown Tucson, Kino/Park through Country Club/Alvernon project areaEvidence for Transportation, routing, and parking, Territory quality [17] [18]
Permanent building and freestanding signs require City review/permits under Article 7A, with current Sign Standards amendment scheduled to terminate August 31, 2026 unless reauthorizedpermanent sign permit required: yes; article: UDC Section 7A; current amending ordinance: 11803; scheduled termination date: 2026-08-31regulatory statusCurrent permit and Article 7A guidance accessed August 2026City of TucsonEvidence for Regulatory and operating friction, Sales and customer acquisition [19] [20] [21]
Planning and Development Services fee changes effective July 1, 2026most nonvaluation permits increase percent: 5; sign permits increase percent: 10; rezoning entitlement increase percent: 10; special approvals increase percent: 25; code enforcement reinspection fee usd: 200mixed fee changesFees effective July 1, 2026City of TucsonEvidence for Regulatory and operating friction, Real estate and site feasibility [22]
City development impact fees apply to new development and can also apply to expansion or changes in use that increase service neednew development: yes; expansion if higher service need: yes; change in use if higher service need: yes; amount depends on: service area, use, sizeapplicability ruleCurrent program guidance accessed August 2026City of Tucson development impact fee service areasEvidence for Regulatory and operating friction, Real estate and site feasibility [23]
Pima County roadway development impact fee for attached residential, multifamily, or apartments5,127usd per unitRates effective October 1, 2025 through September 30, 2026Applicable Pima County roadway development impact fee service areas; not a City of Tucson fee amountEvidence for Territory quality, Regulatory and operating friction [24]
University of Arizona procurement uses informal competition from $25,000 to $100,000 and formal sealed RFP/RFB processes at $100,000 and overno competitive bid general rule below usd: 25,000; informal competition range usd: 25,000, 100,000; formal sealed process minimum usd: 100,000; small business restriction up to usd: 100,000procurement thresholdsCurrent procurement guidance accessed August 2026University of ArizonaEvidence for Sales and customer acquisition, Referral ecosystem [13]
City formal solicitation responses are submitted electronically through the City e-procurement portalvendor registration required for portal use: yes; formal solicitation responses electronic: yes; centralized bid opportunities: yesprocurement process flagsCurrent procurement process accessed August 2026City of TucsonEvidence for Sales and customer acquisition, Referral ecosystem [14]
City of Tucson declined to move forward with the proposed Project Blue data center proposal on August 6, 2025project blue city proposal status: declined; decision date: 2025-08-06; new large scale data center rules adopted: 2026-08-05; new rules effective date: 2026-09-04regulatory project statusMayor and Council action August 5, 2026; new regulations effective September 4, 2026; Project Blue proposal declined August 6, 2025City of TucsonEvidence for Labor and staffing friction, Regulatory and operating friction [25]

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 7, 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 7, 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
    Structural Inefficiencies and Asymmetric Franchise Opportunities in Tier-1 U.S. MarketsInternal or supplied research; not publicly accessible.
    Publisher
    Supplied research material
    Data period
    Supplied Tucson section; source citations embedded in docket
    Scope
    Tucson, Arizona section within a multi-city research docket; several statements are regional rather than city-limit specific
    Locator
    Tucson, Arizona section
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 7, 2026
  2. 2
    Forensic Audit of Municipal Structural Constraints: Cross-Jurisdictional Barrier AnalysisInternal or supplied research; not publicly accessible.

    Used for: City of Tucson minimum wage effective for 2026

    Publisher
    Supplied research material
    Data period
    Supplied Tucson section
    Scope
    Tucson, Arizona section within a multi-city research docket
    Locator
    Tucson, Arizona section, subsections A-F
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 7, 2026
  3. 3
    Franchise data - remake - Combine2Internal or supplied research; not publicly accessible.
    Publisher
    Supplied operational research
    Data period
    Supplied records; mixed vintages embedded in row notes
    Scope
    Rows labeled Tucson, Arizona include Downtown and Rita Ranch plus separate jurisdictions/areas such as Oro Valley, Marana, Sahuarita, and Vail/Pima County
    Locator
    All rows where %city%=Tucson and %state_name%=Arizona
    Source tier
    Tier 5 · supplied operational research
    Accessed
    August 7, 2026
  4. 4
    QuickFacts: Tucson city, Arizona

    Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Households in the 2020-2024 QuickFacts reference period, Owner-occupied housing unit rate, and All employer firms in the QuickFacts business reference year

    Publisher
    U.S. Census Bureau
    Data period
    July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business data
    Scope
    Tucson city, Arizona
    Locator
    Population, housing, households, owner occupancy, and businesses
    Source tier
    Tier 1 · government
    Accessed
    August 7, 2026
  5. 5
    Selected Housing Characteristics, ACS 5-Year Estimates Data Profiles, Table DP04

    Used for: Total housing units in the 2024 ACS 5-year housing profile

    Publisher
    U.S. Census Bureau
    Data period
    2020-2024 American Community Survey 5-year estimates
    Scope
    Tucson city, Arizona
    Locator
    Housing occupancy and units-in-structure sections; year-built table reviewed for current age-profile research
    Source tier
    Tier 1 · government
    Accessed
    August 7, 2026
  6. 6
    Tucson city, Arizona demographics and housing characteristics
    Publisher
    Demographics-US
    Data period
    Page reports 2021 Tucson city demographic and housing estimates
    Scope
    Tucson city, Arizona
    Locator
    Year structure built table
    Source tier
    Tier 4 · directional public data aggregator
    Accessed
    August 7, 2026
  7. 7
    Hard Water

    Used for: Tucson Water reports hard-water mineral buildup that can shorten appliance life and clog pipes

    Publisher
    City of Tucson, Tucson Water
    Data period
    Current guidance accessed August 2026
    Scope
    Tucson Water service area; not identical to City of Tucson boundaries
    Locator
    Hard-water effects on appliances, pipes, taps, and calcium deposits
    Source tier
    Tier 1 · government
    Accessed
    August 7, 2026
  8. 8
    Home Treatment

    Used for: Tucson Water reports hard-water mineral buildup that can shorten appliance life and clog pipes

    Publisher
    City of Tucson, Tucson Water
    Data period
    Current guidance accessed August 2026
    Scope
    Tucson Water service area; not identical to City of Tucson boundaries
    Locator
    Lime-scale effects on pipe flow and water-heater efficiency
    Source tier
    Tier 1 · government
    Accessed
    August 7, 2026
  9. 9
    Tucson Minimum Wage Act

    Used for: City of Tucson minimum wage effective for 2026

    Publisher
    City of Tucson
    Data period
    Rate effective January 1-December 31, 2026
    Scope
    Employees performing at least five hours of work per pay cycle within City of Tucson boundaries, subject to stated exclusions
    Locator
    Summary, 2026 rate, coverage, and scheduling-pay requirements
    Source tier
    Tier 1 · government
    Accessed
    August 7, 2026
  10. 10
    Occupational Employment and Wages in Tucson — May 2025

    Used for: Mean hourly wage for all occupations in the Tucson MSA versus the United States and Selected major occupational-group mean hourly wages in the Tucson MSA versus U.S. averages

    Publisher
    U.S. Bureau of Labor Statistics
    Published
    June 24, 2026
    Data period
    May 2025 occupational employment and wage estimates; release reissued June 24, 2026
    Scope
    Tucson, AZ Metropolitan Statistical Area (Pima County)
    Locator
    Table A major occupational groups
    Source tier
    Tier 1 · government
    Accessed
    August 7, 2026
  11. 11
    Tucson, AZ Economy at a Glance

    Used for: Tucson MSA unemployment rate in May 2026 preliminary data and Selected Tucson MSA nonfarm employment sectors in June 2026 preliminary data

    Publisher
    U.S. Bureau of Labor Statistics
    Data period
    Labor force through May 2026 and nonfarm employment through June 2026 preliminary
    Scope
    Tucson, AZ Metropolitan Statistical Area
    Locator
    Labor force data and nonfarm wage and salary employment
    Source tier
    Tier 1 · government
    Accessed
    August 7, 2026
  12. 12
    University Facts

    Used for: University of Arizona total Fall 2025 enrollment and University of Arizona employees including graduate assistants

    Publisher
    University of Arizona
    Data period
    Fall 2025 enrollment and current employee fact set
    Scope
    University of Arizona, Tucson main-campus institution
    Locator
    Enrollment and employee facts
    Source tier
    Tier 2 · recognized public institution
    Accessed
    August 7, 2026
  13. 13
    Vendor Relations

    Used for: University of Arizona procurement uses informal competition from $25,000 to $100,000 and formal sealed RFP/RFB processes at $100,000 and over

    Publisher
    University of Arizona
    Data period
    Current procurement guidance accessed August 2026
    Scope
    University of Arizona purchasing and vendor relations
    Locator
    Sourcing supply, proposals and bids, solicitation guidance
    Source tier
    Tier 2 · recognized public institution
    Accessed
    August 7, 2026
  14. 14
    Browse Bid Opportunities

    Used for: City formal solicitation responses are submitted electronically through the City e-procurement portal

    Publisher
    City of Tucson
    Data period
    Current procurement process accessed August 2026
    Scope
    City of Tucson agency procurement
    Locator
    Vendor registration, centralized bid opportunities, electronic formal solicitation responses
    Source tier
    Tier 1 · government
    Accessed
    August 7, 2026
  15. 15
    Tucson Industrial Figures Q2 2026

    Used for: Tucson industrial market conditions in Q2 2026

    Publisher
    CBRE
    Published
    July 15, 2026
    Data period
    Q2 2026
    Scope
    Tucson industrial market
    Locator
    Vacancy, availability, absorption, asking rent, construction, and deliveries
    Source tier
    Tier 3 · credible industry
    Accessed
    August 7, 2026
  16. 16
    Tucson Office Figures Q2 2026

    Used for: Tucson office market conditions in Q2 2026

    Publisher
    CBRE
    Published
    July 15, 2026
    Data period
    Q2 2026
    Scope
    Tucson office market
    Locator
    Vacancy, availability, absorption, and asking rent
    Source tier
    Tier 3 · credible industry
    Accessed
    August 7, 2026
  17. 17
    Interstate 10: Kino to Country Club Project

    Used for: I-10 Kino to Country Club reconstruction and widening is under construction with completion scheduled for summer 2028

    Publisher
    Arizona Department of Transportation
    Data period
    Active construction; scheduled completion summer 2028
    Scope
    I-10 southeast of downtown Tucson from the Kino/Park area through Country Club/Alvernon project limits
    Locator
    Project status, limits, scope, and completion schedule
    Source tier
    Tier 1 · government
    Accessed
    August 7, 2026
  18. 18
    Motorists to begin using new segment of I-10 in Tucson this weekend

    Used for: I-10 Kino to Country Club reconstruction and widening is under construction with completion scheduled for summer 2028

    Publisher
    Arizona Department of Transportation
    Data period
    2026 construction progress update
    Scope
    I-10 project southeast of downtown Tucson
    Locator
    Traffic shifts, project value, segment construction, and continuation through 2028
    Source tier
    Tier 1 · government
    Accessed
    August 7, 2026
  19. 19
    Sign Permits

    Used for: Permanent building and freestanding signs require City review/permits under Article 7A, with current Sign Standards amendment scheduled to terminate August 31, 2026 unless reauthorized

    Publisher
    City of Tucson Planning and Development Services
    Data period
    Current permit and Article 7A guidance accessed August 2026
    Scope
    City of Tucson
    Locator
    Permanent sign permit process and Unified Development Code Section 7A Sign Standards
    Source tier
    Tier 1 · government
    Accessed
    August 7, 2026
  20. 20
    Zoning Code

    Used for: Permanent building and freestanding signs require City review/permits under Article 7A, with current Sign Standards amendment scheduled to terminate August 31, 2026 unless reauthorized

    Publisher
    City of Tucson Planning and Development Services
    Data period
    Current code status accessed August 2026
    Scope
    City of Tucson
    Locator
    Unified Development Code applicability, Urban Overlay Districts, and Sign Standards Ordinance 11803 sunset date
    Source tier
    Tier 1 · government
    Accessed
    August 7, 2026
  21. 21
    CODE Tucson ’26 (Community Ordinances & Development Enhancements)

    Used for: Permanent building and freestanding signs require City review/permits under Article 7A, with current Sign Standards amendment scheduled to terminate August 31, 2026 unless reauthorized

    Publisher
    City of Tucson Planning and Development Services
    Data period
    2026 code-update process
    Scope
    City of Tucson
    Locator
    Sign Code reauthorization issue and proposed removal of sunset date
    Source tier
    Tier 1 · government
    Accessed
    August 7, 2026
  22. 22
    Rate and Fee Changes Approved by Mayor and Council, Effective July 1

    Used for: Planning and Development Services fee changes effective July 1, 2026

    Publisher
    City of Tucson Planning and Development Services
    Published
    May 20, 2026
    Data period
    Fees effective July 1, 2026
    Scope
    City of Tucson planning, development, zoning, sign, and related permits
    Locator
    Approved PDSD rate and fee changes
    Source tier
    Tier 1 · government
    Accessed
    August 7, 2026
  23. 23
    Development Impact Fees

    Used for: City development impact fees apply to new development and can also apply to expansion or changes in use that increase service need

    Publisher
    City of Tucson
    Data period
    Current program guidance accessed August 2026
    Scope
    City of Tucson service areas
    Locator
    Applicability to new development, expansion, and change in use; fee depends on service area, use, and size
    Source tier
    Tier 1 · government
    Accessed
    August 7, 2026
  24. 24
    Current Rates — Roadway Development Impact Fee

    Used for: Pima County roadway development impact fee for attached residential, multifamily, or apartments

    Publisher
    Pima County
    Data period
    Rates effective October 1, 2025 through September 30, 2026
    Scope
    Pima County roadway development impact fee service areas; comparative to City of Tucson, not a City fee schedule
    Locator
    Residential and non-residential fee tables
    Source tier
    Tier 1 · government
    Accessed
    August 7, 2026
  25. 25
    Regulations for Large-Scale Data Centers

    Used for: City of Tucson declined to move forward with the proposed Project Blue data center proposal on August 6, 2025

    Publisher
    City of Tucson Planning and Development Services
    Data period
    Mayor and Council action August 5, 2026; new regulations effective September 4, 2026; Project Blue proposal declined August 6, 2025
    Scope
    City of Tucson
    Locator
    August 2025 Project Blue disposition and August 2026 adoption/effective date
    Source tier
    Tier 1 · government
    Accessed
    August 7, 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.

Request a private franchise review
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