Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in Phoenix, Arizona

We ranked 14 franchise concepts for Phoenix, 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

View the ranking See the local evidence

14Concepts evaluated

22Sources used

16Primary sources

32Local 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

69.2 average across 2 concepts

Largest positive factorTarget-market demand

0.5 points average among 13 affected concepts

Largest negative factorTransportation, routing, and parking

0.6 points average reduction among 12 affected concepts

Most assumption-sensitive rankActionCOACH

Tested rank range spans 7 positions

Executive conclusion

What the ranking means for Phoenix, Arizona

Our Phoenix, Arizona 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, HomeSmiles, and Pillar To Post Home Inspectors produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 13 concepts and added 0.5 points on average among them. Transportation, routing, and parking was the broadest negative pressure, reducing the 12 exposed concepts by 0.6 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.

Rank	Franchise	Alignment and tier	Largest advantage	Largest constraint	Evidence confidence
1	City WideFacility management	71.2Tier 3 · Mixed modeled alignment	+0.8 ptsTarget-market demand	-0.1 ptsTerritory quality	Moderate evidence confidence
2	HomeSmilesProperty maintenance services	70.5Tier 3 · Mixed modeled alignment	+0.9 ptsTarget-market demand	-0.5 ptsTerritory quality	Moderate evidence confidence
3	Pillar To Post Home InspectorsHome inspection	70.3Tier 3 · Mixed modeled alignment	+0.8 ptsTarget-market demand	-0.5 ptsTransportation, routing, and parking	Moderate evidence confidence
4	ActionCOACHBusiness coaching	70.3Tier 3 · Mixed modeled alignment	+0.4 ptsReferral ecosystem	-0.1 ptsTerritory quality	Moderate evidence confidence
5	Aire ServHVAC installation, repair, and maintenance	70.0Tier 3 · Mixed modeled alignment	+0.8 ptsProperty replacement-cycle demand	-0.9 ptsTransportation, routing, and parking	Moderate evidence confidence
6	Jan-Pro InternationalCommercial cleaning	70.0Tier 3 · Mixed modeled alignment	+0.6 ptsTarget-market demand	-0.4 ptsTerritory quality	Moderate evidence confidence
7	Tiger AdjustersPublic insurance adjusting	69.8Tier 3 · Mixed modeled alignment	+0.2 ptsReferral ecosystem	-0.3 ptsTerritory quality	Moderate evidence confidence
8	Mister Sparky ElectricElectrical	69.8Tier 3 · Mixed modeled alignment	+0.5 ptsTarget-market demand	-0.7 ptsTransportation, routing, and parking	Moderate evidence confidence
9	Mr. RooterPlumbing	69.6Tier 3 · Mixed modeled alignment	+0.6 ptsProperty replacement-cycle demand	-1.0 ptsTransportation, routing, and parking	Moderate evidence confidence
10	ZOOM DRAINDrain and sewer service	69.6Tier 3 · Mixed modeled alignment	+0.6 ptsProperty replacement-cycle demand	-1.1 ptsTransportation, routing, and parking	Moderate 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.

Highlight concept

Primary source records by factorTarget-market demand: ^[1] ^[2] ^[3] ^[4] ^[13] ^[14] ^[15] ^[11]Property replacement-cycle demand: ^[2] ^[1] ^[5] ^[3]Competitive environment: ^[1] ^[7] ^[11] ^[9]Labor and staffing friction: ^[6] ^[7] ^[13] ^[5]Transportation, routing, and parking: ^[1] ^[8] ^[22] ^[5]Real estate and site feasibility: ^[9] ^[10] ^[11] ^[12] ^[16] ^[17] ^[18] ^[19] ^[20] ^[22]Sales and customer acquisition: ^[1] ^[11] ^[13] ^[14]Referral ecosystem: ^[1] ^[13] ^[14] ^[15]Territory quality: ^[1] ^[2] ^[22] ^[8] ^[9] ^[10] ^[11] ^[14] ^[15]Regulatory and operating friction: ^[16] ^[17] ^[18] ^[19] ^[20] ^[21] ^[22]

View the chart data as a table

Concept	Target-market demand	Property replacement-cycle demand	Transportation, routing, and parking	Real estate and site feasibility	Referral ecosystem	Territory quality
#1 City Wide	+0.8 pts	—	—	—	+0.5 pts	-0.1 pts
#2 HomeSmiles	+0.9 pts	—	-0.3 pts	—	+0.4 pts	-0.5 pts
#3 Pillar To Post Home Inspectors	+0.8 pts	+0.3 pts	-0.5 pts	—	+0.2 pts	-0.5 pts
#4 ActionCOACH	+0.1 pts	—	—	—	+0.4 pts	-0.1 pts
#5 Aire Serv	+0.6 pts	+0.8 pts	-0.9 pts	—	—	-0.5 pts
#6 Jan-Pro International	+0.6 pts	—	-0.4 pts	—	+0.1 pts	-0.4 pts
#7 Tiger Adjusters	+0.2 pts	—	-0.3 pts	—	+0.2 pts	-0.3 pts
#8 Mister Sparky Electric	+0.5 pts	+0.5 pts	-0.7 pts	—	+0.1 pts	-0.6 pts
#9 Mr. Rooter	+0.6 pts	+0.6 pts	-1.0 pts	—	+0.1 pts	-0.6 pts
#10 ZOOM DRAIN	+0.5 pts	+0.6 pts	-1.1 pts	—	+0.3 pts	-0.6 pts
#11 Rainbow International Restoration	+0.1 pts	+0.2 pts	-0.8 pts	—	+0.3 pts	-0.6 pts
#12 PuroClean	—	+0.2 pts	-0.9 pts	—	+0.3 pts	-0.6 pts
#13 FASTSIGNS	+0.3 pts	—	-0.4 pts	-0.6 pts	+0.2 pts	-0.6 pts
#14 Workout Anytime	+0.4 pts	—	-0.1 pts	-1.3 pts	—	-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 WideStable · tested #1–#1

#2 HomeSmilesModerately sensitive · tested #2–#5

#3 Pillar To Post Home InspectorsStable · tested #3–#4

#4 ActionCOACHHighly sensitive · tested #2–#9

#5 Aire ServHighly sensitive · tested #2–#8

#6 Jan-Pro InternationalModerately sensitive · tested #5–#8

#7 Tiger AdjustersHighly sensitive · tested #3–#10

#8 Mister Sparky ElectricStable · tested #7–#8

#9 Mr. RooterHighly sensitive · tested #6–#11

#10 ZOOM DRAINHighly sensitive · tested #5–#11

#11 Rainbow International RestorationModerately sensitive · tested #9–#12

#12 PuroCleanModerately sensitive · tested #12–#14

#13 FASTSIGNSModerately sensitive · tested #11–#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 baseline	70.0
Target-market demand	+0.8
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	Effect below the publication threshold
Real estate and site feasibility	Not applicable to this operating model
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.5
Territory quality	-0.1
Regulatory and operating friction	Not included in the score
Full-precision calculated score	71.17
Published local-market alignment	71.2

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

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

Factor impact

Which local conditions changed scores or rankings?

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

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 13 of 14 concepts. When we neutralized the factor and recalculated the table, 8 concepts changed position. Tiger Adjusters moved from #7 to #3, the largest movement among concepts directly affected by this factor.

Concepts adjusted13 of 14

Average among affected+0.5 pts

Average across all concepts+0.5 pts

Concepts changing rank8

Concepts helped most

HomeSmilesProperty maintenance services

+0.9 pts

City WideFacility management

+0.8 pts

Pillar To Post Home InspectorsHome inspection

+0.8 pts

Aire ServHVAC installation, repair, and maintenance

+0.6 pts

Jan-Pro InternationalCommercial cleaning

+0.6 pts

Measured but not differentiating in this concept set

Competitive environmentNo material score adjustment
Labor and staffing frictionNo material score adjustment
Sales and customer acquisitionNo material score adjustment
Regulatory and operating frictionNo material score adjustment

Category comparisons

Best franchise categories we assessed in Phoenix, Arizona

Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.

2 Restoration concepts qualified for comparison, with scores ranging from 69.1 to 69.3. Rainbow International Restoration ranked highest at 69.3. Referral ecosystem added 0.3 points on average among the affected concepts. Transportation, routing, and parking reduced the exposed concepts by 0.8 points on average.

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

Concepts compared: 2
Score range: 69.1–69.3
Category average: 69.2

Rainbow International Restoration69.3

PuroClean69.1

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.

SearchCategoryLargest impactSort

#1Tier 3 · Mixed modeled alignment71.2

City Wide

Facility management · B2B facility management and vendor coordination

Increase +0.8 pts Target-market demandReduction -0.1 pts Territory quality

Rank sensitivity: Stable

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.8
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	Effect below the publication threshold
Real estate and site feasibility	Not applicable to this operating model
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.5
Territory quality	-0.1
Regulatory and operating friction	Not included in the score
Full-precision calculated score	71.17
Published local-market alignment	71.2

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

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +0.8 pts
Tested rank range: #1–#1

Most important next check

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

#2Tier 3 · Mixed modeled alignment70.5

HomeSmiles

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

Increase +0.9 pts Target-market demandReduction -0.5 pts Territory quality

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.9
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.3
Real estate and site feasibility	Not applicable to this operating model
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.4
Territory quality	-0.5
Regulatory and operating friction	Not included in the score
Full-precision calculated score	70.47
Published local-market alignment	70.5

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: Adequate
Source-evidence confidence: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +0.9 pts
Tested rank range: #2–#5

Most important next check

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

#3Tier 3 · Mixed modeled alignment70.3

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Increase +0.8 pts Target-market demandReduction -0.5 pts Transportation, routing, and parking

Rank sensitivity: Stable

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.8
Property replacement-cycle demand	+0.3
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.5
Real estate and site feasibility	Not applicable to this operating model
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.2
Territory quality	-0.5
Regulatory and operating friction	Not included in the score
Full-precision calculated score	70.32
Published local-market alignment	70.3

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

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +0.8 pts
Tested rank range: #3–#4

Most important next check

Which transaction segments and property types are expected to generate the most inspection demand for Pillar To Post Home Inspectors?

#4Tier 3 · Mixed modeled alignment70.3

ActionCOACH

Business coaching · home-based B2B advisory

Increase +0.4 pts Referral ecosystemReduction -0.1 pts Territory quality

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.1
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	Effect below the publication threshold
Real estate and site feasibility	Effect below the publication threshold
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.4
Territory quality	-0.1
Regulatory and operating friction	Not included in the score
Full-precision calculated score	70.26
Published local-market alignment	70.3

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

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Referral ecosystem +0.4 pts
Tested rank range: #2–#9

Most important next check

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

#5Tier 3 · Mixed modeled alignment70.0

Aire Serv

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

Increase +0.8 pts Property replacement-cycle demandReduction -0.9 pts Transportation, routing, and parking

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.6
Property replacement-cycle demand	+0.8
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.9
Real estate and site feasibility	Not applicable to this operating model
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not applicable to this operating model
Territory quality	-0.5
Regulatory and operating friction	Not included in the score
Full-precision calculated score	70.00
Published local-market alignment	70.0

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

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Adequate
Source-evidence confidence: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Transportation, routing, and parking -0.9 pts
Tested rank range: #2–#8

Most important next check

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

#6Tier 3 · Mixed modeled alignment70.0

Jan-Pro International

Commercial cleaning · recurring commercial route service

Increase +0.6 pts Target-market demandReduction -0.4 pts Territory quality

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.6
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.4
Real estate and site feasibility	Not applicable to this operating model
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.1
Territory quality	-0.4
Regulatory and operating friction	Not included in the score
Full-precision calculated score	69.97
Published local-market alignment	70.0

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

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +0.6 pts
Tested rank range: #5–#8

Most important next check

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

#7Tier 3 · Mixed modeled alignment69.8

Tiger Adjusters

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

Increase +0.2 pts Referral ecosystemReduction -0.3 pts Territory quality

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.2
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.3
Real estate and site feasibility	Not applicable to this operating model
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.2
Territory quality	-0.3
Regulatory and operating friction	Not included in the score
Full-precision calculated score	69.85
Published local-market alignment	69.8

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

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Adequate
Source-evidence confidence: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Territory quality -0.3 pts
Tested rank range: #3–#10

Most important next check

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

#8Tier 3 · Mixed modeled alignment69.8

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +0.5 pts Target-market demandReduction -0.7 pts Transportation, routing, and parking

Rank sensitivity: Stable

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.5
Property replacement-cycle demand	+0.5
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.7
Real estate and site feasibility	Not applicable to this operating model
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.1
Territory quality	-0.6
Regulatory and operating friction	Not included in the score
Full-precision calculated score	69.81
Published local-market alignment	69.8

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

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Transportation, routing, and parking -0.7 pts
Tested rank range: #7–#8

Most important next check

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

#9Tier 3 · Mixed modeled alignment69.6

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Increase +0.6 pts Property replacement-cycle demandReduction -1.0 pts Transportation, routing, and parking

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.6
Property replacement-cycle demand	+0.6
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-1.0
Real estate and site feasibility	Not applicable to this operating model
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.1
Territory quality	-0.6
Regulatory and operating friction	Not included in the score
Full-precision calculated score	69.63
Published local-market alignment	69.6

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

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Transportation, routing, and parking -1.0 pts
Tested rank range: #6–#11

Most important next check

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

#10Tier 3 · Mixed modeled alignment69.6

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Increase +0.6 pts Property replacement-cycle demandReduction -1.1 pts Transportation, routing, and parking

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.5
Property replacement-cycle demand	+0.6
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-1.1
Real estate and site feasibility	Not applicable to this operating model
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.3
Territory quality	-0.6
Regulatory and operating friction	Not included in the score
Full-precision calculated score	69.57
Published local-market alignment	69.6

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

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Transportation, routing, and parking -1.1 pts
Tested rank range: #5–#11

Most important next check

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

#11Tier 3 · Mixed modeled alignment69.3

Rainbow International Restoration

Restoration · emergency property restoration

Increase +0.3 pts Referral ecosystemReduction -0.8 pts Transportation, routing, and parking

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.1
Property replacement-cycle demand	+0.2
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.8
Real estate and site feasibility	Not applicable to this operating model
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.3
Territory quality	-0.6
Regulatory and operating friction	Not included in the score
Full-precision calculated score	69.28
Published local-market alignment	69.3

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: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Transportation, routing, and parking -0.8 pts
Tested rank range: #9–#12

Most important next check

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

#12Tier 3 · Mixed modeled alignment69.1

PuroClean

Restoration · emergency property restoration

Increase +0.3 pts Referral ecosystemReduction -0.9 pts Transportation, routing, and parking

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	Not applicable to this operating model
Property replacement-cycle demand	+0.2
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.9
Real estate and site feasibility	Not applicable to this operating model
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.3
Territory quality	-0.6
Regulatory and operating friction	Not included in the score
Full-precision calculated score	69.05
Published local-market alignment	69.1

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

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Transportation, routing, and parking -0.9 pts
Tested rank range: #12–#14

Most important next check

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

#13Tier 3 · Mixed modeled alignment68.9

FASTSIGNS

Signs and graphics · B2B production and installation center

Increase +0.3 pts Target-market demandReduction -0.6 pts Territory quality

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.3
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.4
Real estate and site feasibility	-0.6
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.2
Territory quality	-0.6
Regulatory and operating friction	Not included in the score
Full-precision calculated score	68.94
Published local-market alignment	68.9

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

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Territory quality -0.6 pts
Tested rank range: #11–#13

Most important next check

How many qualified local business accounts fall inside the territory proposed for FASTSIGNS?

#14Tier 3 · Mixed modeled alignment67.8

Workout Anytime

Fitness · fixed-location membership fitness

Increase +0.4 pts Target-market demandReduction -1.3 pts Real estate and site feasibility

Rank sensitivity: Stable

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.4
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.1
Real estate and site feasibility	-1.3
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not applicable to this operating model
Territory quality	-1.1
Regulatory and operating friction	Not included in the score
Full-precision calculated score	67.85
Published local-market alignment	67.8

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: Limited
Source-evidence confidence: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Real estate and site feasibility -1.3 pts
Tested rank range: #13–#14

Most important next check

What site size, occupancy-cost ceiling, parking supply, and buildout budget must a Workout Anytime location satisfy?

Metric registry

The 32 local metrics behind this analysis

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

View all local metrics

Metric	Raw value	Period	Geography	How used	Source
Resident population estimate on July 1, 2025	1,665,481people	July 1, 2025 population estimate; 2020-2024 demographic, housing, economic, and commuting estimates; 2022 economic census measures	Phoenix, Arizona	Evidence for Target-market demand, Territory quality	^[1]
Population change from the April 2020 estimate base to July 2025	3.6percent	July 1, 2025 population estimate; 2020-2024 demographic, housing, economic, and commuting estimates; 2022 economic census measures	Phoenix, Arizona	Evidence for Target-market demand	^[1]
Estimated households during the 2020-2024 period	610,442households	July 1, 2025 population estimate; 2020-2024 demographic, housing, economic, and commuting estimates; 2022 economic census measures	Phoenix, Arizona	Evidence for Target-market demand, Territory quality	^[1]
Land area	518square miles	July 1, 2025 population estimate; 2020-2024 demographic, housing, economic, and commuting estimates; 2022 economic census measures	Phoenix, Arizona	Evidence for Transportation, routing, and parking, Territory quality	^[1]
Owner-occupied housing-unit rate	57.3percent of occupied housing units	July 1, 2025 population estimate; 2020-2024 demographic, housing, economic, and commuting estimates; 2022 economic census measures	Phoenix, Arizona	Evidence for Target-market demand, Property replacement-cycle demand	^[1]
Health care and social assistance revenue	21,532,515,000usd 2022	July 1, 2025 population estimate; 2020-2024 demographic, housing, economic, and commuting estimates; 2022 economic census measures	Phoenix, Arizona	Evidence for Target-market demand, Referral ecosystem	^[1]
Total retail sales	37,904,957,000usd 2022	July 1, 2025 population estimate; 2020-2024 demographic, housing, economic, and commuting estimates; 2022 economic census measures	Phoenix, Arizona	Evidence for Target-market demand, Real estate and site feasibility	^[1]
Estimated total housing units	653,065housing units	2020-2024 American Community Survey 5-year estimates	Phoenix, Arizona	Evidence for Target-market demand, Property replacement-cycle demand, Territory quality	^[2]
Housing units built in 2020 or later	units: 13,327; share: 2housing units and percent	2020-2024 American Community Survey 5-year estimates	Phoenix, Arizona	Evidence for Target-market demand, Property replacement-cycle demand	^[2]
Housing units built from 1970 through 1999	units: 321,478; share: 49.23housing units and percent	2020-2024 American Community Survey 5-year estimates	Phoenix, Arizona	Evidence for Property replacement-cycle demand	^[2]
Housing units reported as created or preserved under the Housing Phoenix Plan through December 31, 2024	53,000housing units more than	Progress through December 31, 2024	Housing Phoenix Plan	Evidence for Target-market demand, Territory quality	^[3] ^[4]
Average annual days with a maximum temperature of at least 100°F under 1991-2020 normals	111days per year	Phoenix period of record 1896-2025; 1991-2020 climate normals	Phoenix climate station	Evidence for Property replacement-cycle demand, Real estate and site feasibility, Labor and staffing friction, Transportation, routing, and parking	^[5]
Mean hourly wage across all occupations compared with the national mean	phoenix msa: 33.48; united states: 33.54usd per hour	May 2025	Phoenix-Mesa-Chandler MSA	Evidence for Labor and staffing friction	^[6]
Construction and installation-maintenance-repair mean wages compared with national means	construction and extraction: phoenix msa: 29.42, united states: 31.42; installation maintenance and repair: phoenix msa: 29.88, united states: 30.44usd per hour	May 2025	Phoenix-Mesa-Chandler MSA	Evidence for Labor and staffing friction, Property replacement-cycle demand	^[6]
Selected frontline occupation-group mean wages compared with national means	food preparation and serving: phoenix msa: 20.58, united states: 17.86; office and administrative support: phoenix msa: 24.97, united states: 24.79; building and grounds cleaning and maintenance: phoenix msa: 19.59, united states: 19.66usd per hour	May 2025	Phoenix-Mesa-Chandler MSA	Evidence for Labor and staffing friction	^[6]
Preliminary unemployment rate in June 2026	4.9percent	June 2026 preliminary labor force and payroll employment	Phoenix-Mesa-Scottsdale MSA	Evidence for Labor and staffing friction	^[7]
Preliminary total nonfarm employment in June 2026	2,451,100jobs	June 2026 preliminary labor force and payroll employment	Phoenix-Mesa-Scottsdale MSA	Evidence for Target-market demand, Labor and staffing friction, Referral ecosystem	^[7]
Mean travel time to work	25.6minutes	July 1, 2025 population estimate; 2020-2024 demographic, housing, economic, and commuting estimates; 2022 economic census measures	Phoenix, Arizona	Evidence for Transportation, routing, and parking, Territory quality	^[1]
Annual congestion and rush-hour time lost	average congestion level: 30.5; rush hour time lost hours: 34; evening rush congestion level: 72.1percent and hours	Calendar year 2025	Phoenix road network	Evidence for Transportation, routing, and parking, Territory quality	^[8]
Phoenix industrial vacancy, asking rent, and construction pipeline	vacancy rate: 9.6; average asking rent: 1.09; under construction sqft: 18,400,000percent usd per sqft month and square feet	Second quarter 2026	Phoenix industrial market	Evidence for Real estate and site feasibility, Territory quality	^[9]
Industrial asking-rent range across named Phoenix submarkets for spaces of at least 10,000 square feet	minimum: 0.76; maximum: 1.79usd per sqft month nnn	Second quarter 2026	Phoenix industrial submarkets	Evidence for Real estate and site feasibility, Territory quality	^[10]
Phoenix retail vacancy and asking rent	vacancy rate: 4.5; average asking rent: 1.78; asking rent yoy change: 9.37percent usd per sqft month and percent	Second quarter 2026	Phoenix retail market	Evidence for Real estate and site feasibility, Target-market demand	^[11]
Phoenix metropolitan retail vacancy in Q1 2026	5percent	First quarter 2026	Phoenix retail market	Evidence for Real estate and site feasibility, Target-market demand	^[12]
City-reported bioscience investment, primary-facility space, and jobs added over five years	capital investment usd approximate: 7,000,000,000; primary facility sqft more than: 8,000,000; new jobs up to: 14,000usd square feet and jobs	Bioscience investment, facilities, and job growth described for the preceding five years	Phoenix bioscience sector	Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction	^[13]
Arizona State University Downtown Phoenix campus student and faculty population	undergraduate students: 7,902; graduate and professional students: 2,867; faculty: 1,493people	Current campus statistics accessed July 2026; degrees awarded in 2024-2025	ASU Downtown Phoenix campus	Evidence for Target-market demand, Referral ecosystem, Territory quality	^[14]
Approved City of Phoenix investment in ASU Health at the Phoenix Bioscience Core	50,000,000usd	March 2026 approved investment	Phoenix Bioscience Core, downtown Phoenix	Evidence for Target-market demand, Referral ecosystem, Territory quality	^[15]
Development impact fees are limited to defined growth areas and vary by project characteristics	effective for qualifying permits after: 2025-06-23; geographic gate: defined growth areas; commercial inputs include: land use, building size, water meter requirementsrule description	Revised fees applicable to qualifying permits after June 23, 2025	Defined City of Phoenix impact-fee areas	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[16] ^[17]
Phoenix adopted the 2024 construction-code family effective August 1, 2025	adopted: 2025-06-18; effective: 2025-08-01; code family: 2024 Phoenix Building Construction Codedates and standard	Code effective August 1, 2025	Phoenix, Arizona	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[18]
Business signs may require permit, placement, height, size, and design review under the Phoenix sign ordinance	permit process: yes; design review possible: yes; zoning reference: Phoenix Zoning Ordinance Chapter 7, Section 705rule description	Current sign-permit guidance accessed July 2026	Phoenix, Arizona	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[19]
Adaptive Reuse Program offers process assistance and limited fee incentives for qualifying smaller pre-2000 buildings	maximum building size sqft: 25,000; building permitted before: 2,000; entire building change required: yes; maximum fee incentive usd: 7,000eligibility and incentive	Current program rules accessed July 2026	Qualifying Phoenix adaptive-reuse projects	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[20]
Phoenix does not issue a general business license, while specified regulated activities require licenses or approvals	general business license: no; activity specific licenses: yesrule description	Current licensing guidance accessed July 2026	Phoenix, Arizona	Evidence for Regulatory and operating friction	^[21]
Phoenix is divided into urban villages with distinct subarea planning functions	15urban villages	Current planning structure accessed July 2026	Phoenix urban villages	Evidence for Territory quality, Real estate and site feasibility, Regulatory and operating friction	^[22]

How to use the ranking

What the model can and cannot establish

Scores measure local operating alignment, not expected financial performance or franchise-system quality.
Citywide evidence may not describe the exact site or territory ultimately offered.
Conditional effects are shown for diligence but do not change the published score until their applicability is established.

Methodology

How the local-alignment ranking is calculated

Measure the city

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

Profile each operating model

Map each franchise to controlled operating attributes and local sensitivities.

Apply scoreable effects

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

Preserve conditional effects

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

Test rank sensitivity

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

Generate public output

Create the ranking, factor-status ledger, visuals, metric registry, and automated quality report from the same data.

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

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
QuickFacts: Phoenix city, Arizona
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 period, Land area, and Owner-occupied housing-unit rate
Publisher
U.S. Census Bureau
Published
May 14, 2026
Data period
July 1, 2025 population estimate; 2020-2024 demographic, housing, economic, and commuting estimates; 2022 economic census measures
Scope
Phoenix city, Arizona
Locator
Population estimates, housing, households, economy, transportation, income, and geography tables
Source tier
Tier 1 · government
Accessed
July 31, 2026
2
DP04 Selected Housing Characteristics: Phoenix city, Arizona
Used for: Estimated total housing units, Housing units built in 2020 or later, and Housing units built from 1970 through 1999
Publisher
U.S. Census Bureau
Data period
2020-2024 American Community Survey 5-year estimates
Scope
Phoenix city, Arizona
Locator
Housing occupancy, units in structure, and year structure built
Source tier
Tier 1 · government
Accessed
July 31, 2026
3
City of Phoenix Creates or Preserves 50,000 Housing Units 5 Years Ahead of Goal
Used for: Housing units reported as created or preserved under the Housing Phoenix Plan through December 31, 2024
Publisher
City of Phoenix
Published
February 5, 2025
Data period
Progress through December 31, 2024
Scope
City of Phoenix
Locator
Housing Phoenix Plan unit-count milestone
Source tier
Tier 1 · government
Accessed
July 31, 2026
4
Housing Phoenix Plan
Used for: Housing units reported as created or preserved under the Housing Phoenix Plan through December 31, 2024
Publisher
City of Phoenix
Data period
Quarterly reporting through January-March 2026; 2026 HUD fair-market-rent context
Scope
City of Phoenix and Maricopa County rent context
Locator
Latest quarterly report link and housing-need summary
Source tier
Tier 1 · government
Accessed
July 31, 2026
5
Extreme Temperature Facts for Phoenix, Yuma, and El Centro
Used for: Average annual days with a maximum temperature of at least 100°F under 1991-2020 normals
Publisher
National Weather Service Phoenix
Data period
Phoenix period of record 1896-2025; 1991-2020 climate normals
Scope
Phoenix Sky Harbor climate station and listed comparison stations
Locator
Phoenix 100°F day statistics and record-duration table
Source tier
Tier 1 · government
Accessed
July 31, 2026
6
Occupational Employment and Wages in Phoenix-Mesa-Chandler — May 2025
Used for: Mean hourly wage across all occupations compared with the national mean, Construction and installation-maintenance-repair mean wages compared with national means, and Selected frontline occupation-group mean wages compared with national means
Publisher
U.S. Bureau of Labor Statistics
Published
June 18, 2026
Data period
May 2025
Scope
Phoenix-Mesa-Chandler metropolitan statistical area
Locator
Table A major occupational groups and local-national wage comparisons
Source tier
Tier 1 · government
Accessed
July 31, 2026
7
Phoenix-Mesa-Scottsdale, AZ Economy at a Glance
Used for: Preliminary unemployment rate in June 2026 and Preliminary total nonfarm employment in June 2026
Publisher
U.S. Bureau of Labor Statistics
Data period
June 2026 preliminary labor force and payroll employment
Scope
Phoenix-Mesa-Scottsdale metropolitan statistical area
Locator
Unemployment rate and nonfarm employment tables
Source tier
Tier 1 · government
Accessed
July 31, 2026
8
Phoenix, AZ Traffic Report
Used for: Annual congestion and rush-hour time lost
Publisher
TomTom Traffic Index
Data period
Calendar year 2025
Scope
Phoenix central-city and metropolitan road networks, depending on selected view
Locator
Annual congestion, rush-hour travel time, speed, and time-lost metrics
Source tier
Tier 3 · credible industry
Accessed
July 31, 2026
9
Phoenix Industrial Figures Q2 2026
Used for: Phoenix industrial vacancy, asking rent, and construction pipeline
Publisher
CBRE
Published
July 10, 2026
Data period
Second quarter 2026
Scope
Phoenix metropolitan industrial market
Locator
Vacancy, asking rent, net absorption, construction, and large-tenant leasing summary
Source tier
Tier 3 · credible industry
Accessed
July 31, 2026
10
Phoenix Industrial Market Report Q2 2026
Used for: Industrial asking-rent range across named Phoenix submarkets for spaces of at least 10,000 square feet
Publisher
Kidder Mathews
Data period
Second quarter 2026
Scope
Phoenix metropolitan industrial market and named submarkets
Locator
Vacancy, availability, asking-rent, and submarket-rent FAQ
Source tier
Tier 3 · credible industry
Accessed
July 31, 2026
11
Phoenix Retail Market Report Q2 2026
Used for: Phoenix retail vacancy and asking rent
Publisher
Kidder Mathews
Data period
Second quarter 2026
Scope
Phoenix metropolitan retail market
Locator
Vacancy, asking-rent, absorption, and construction FAQ
Source tier
Tier 3 · credible industry
Accessed
July 31, 2026
12
Q1 2026 Phoenix Retail Report
Used for: Phoenix metropolitan retail vacancy in Q1 2026
Publisher
Cushman & Wakefield
Published
July 13, 2026
Data period
First quarter 2026
Scope
Phoenix metropolitan retail market
Locator
Phoenix MarketBeats page, Q1 2026 Phoenix Retail Report summary
Source tier
Tier 3 · credible industry
Accessed
July 31, 2026
13
Mayor Gallego Delivers 2025 State of the City Address
Used for: City-reported bioscience investment, primary-facility space, and jobs added over five years
Publisher
City of Phoenix
Published
May 20, 2025
Data period
Bioscience investment, facilities, and job growth described for the preceding five years
Scope
Phoenix bioscience sector
Locator
Bioscience investment, facility square footage, and jobs paragraph
Source tier
Tier 1 · government
Accessed
July 31, 2026
14
Downtown Phoenix Campus
Used for: Arizona State University Downtown Phoenix campus student and faculty population
Publisher
Arizona State University
Data period
Current campus statistics accessed July 2026; degrees awarded in 2024-2025
Scope
Arizona State University Downtown Phoenix campus
Locator
Undergraduate, graduate/professional, faculty, and campus-profile statistics
Source tier
Tier 2 · recognized institutional research
Accessed
July 31, 2026
15
Mayor Gallego, City Council Approve $50 Million Investment for ASU Health
Used for: Approved City of Phoenix investment in ASU Health at the Phoenix Bioscience Core
Publisher
City of Phoenix
Published
March 24, 2026
Data period
March 2026 approved investment
Scope
Phoenix Bioscience Core in downtown Phoenix
Locator
Approved investment and planned ASU Health uses
Source tier
Tier 1 · government
Accessed
July 31, 2026
16
Development Impact Fees
Used for: Development impact fees are limited to defined growth areas and vary by project characteristics
Publisher
City of Phoenix Planning and Development Department
Data period
Revised fees applicable to qualifying permits after June 23, 2025
Scope
Defined Phoenix development-impact-fee growth areas
Locator
Applicability, effective date, and growth-area fee guidance
Source tier
Tier 1 · government
Accessed
July 31, 2026
17
Development Impact Fee Estimates
Used for: Development impact fees are limited to defined growth areas and vary by project characteristics
Publisher
City of Phoenix Planning and Development Department
Data period
Current fee-estimation guidance accessed July 2026
Scope
Qualifying Phoenix development projects
Locator
Commercial and industrial estimate inputs, including building size and water-meter requirements
Source tier
Tier 1 · government
Accessed
July 31, 2026
18
2024 Phoenix Building Construction Code
Used for: Phoenix adopted the 2024 construction-code family effective August 1, 2025
Publisher
City of Phoenix Planning and Development Department
Published
June 18, 2025
Data period
Code effective August 1, 2025
Scope
City of Phoenix construction and covered alteration projects
Locator
Adoption and effective dates and incorporated model codes
Source tier
Tier 1 · government
Accessed
July 31, 2026
19
Signs
Used for: Business signs may require permit, placement, height, size, and design review under the Phoenix sign ordinance
Publisher
City of Phoenix Planning and Development Department
Data period
Current sign-permit guidance accessed July 2026
Scope
City of Phoenix, with sign type, placement, zoning, and design-review variation
Locator
Permit, design-review, temporary-sign, and zoning-ordinance links
Source tier
Tier 1 · government
Accessed
July 31, 2026
20
Adaptive Reuse Program
Used for: Adaptive Reuse Program offers process assistance and limited fee incentives for qualifying smaller pre-2000 buildings
Publisher
City of Phoenix Planning and Development Department
Data period
Current program rules accessed July 2026
Scope
Eligible Phoenix buildings permitted before 2000 and 25,000 square feet or less
Locator
Eligibility, streamlined process, regulatory relief, and fee-incentive sections
Source tier
Tier 1 · government
Accessed
July 31, 2026
21
License, Permitting and Certification Services
Used for: Phoenix does not issue a general business license, while specified regulated activities require licenses or approvals
Publisher
City of Phoenix
Data period
Current licensing guidance accessed July 2026
Scope
City of Phoenix
Locator
General-business-license statement and regulated-business categories
Source tier
Tier 1 · government
Accessed
July 31, 2026
22
Village Planning Committees
Used for: Phoenix is divided into urban villages with distinct subarea planning functions
Publisher
City of Phoenix Planning and Development Department
Data period
Current planning structure accessed July 2026
Scope
Fifteen urban villages within the City of Phoenix
Locator
Village count, committee role, and subarea planning description
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.

Request a private franchise review

View methodology View source registry

Disclaimer and broker disclosure: This analysis is informational and does not constitute financial, legal, accounting, or investment advice. Market-alignment scores do not predict financial performance or business success. Offers are made only through the delivery of a Franchise Disclosure Document. We may receive referral compensation from participating franchisors; compensation is not an input to the scoring model.

Best Franchise Opportunities We Assessed in Phoenix, Arizona

Why these concepts were evaluated

What stood out in our assessment

What the ranking means for Phoenix, Arizona

Top 10 local-alignment scores from 14 concepts assessed

How each factor affected the highest-rated franchise concepts

Which positions depend most on individual assumptions?

How we calculated City Wide

Full score ledger

How to interpret the result

Which local conditions changed scores or rankings?

Target-market demand

Concepts helped most

Property replacement-cycle demand

Concepts helped most

Transportation, routing, and parking

Concepts challenged most

Real estate and site feasibility

Concepts challenged most

Referral ecosystem

Concepts helped most

Territory quality

Concepts challenged most

Best franchise categories we assessed in Phoenix, Arizona

Best Restoration franchise opportunities we assessed in Phoenix, Arizona

Explore the complete score calculations

City Wide

Full score ledger

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HomeSmiles

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Pillar To Post Home Inspectors

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ActionCOACH

Full score ledger

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Aire Serv

Full score ledger

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Jan-Pro International

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Tiger Adjusters

Full score ledger

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Mister Sparky Electric

Full score ledger

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Mr. Rooter

Full score ledger

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ZOOM DRAIN

Full score ledger

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Rainbow International Restoration

Full score ledger

Evidence confidence

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PuroClean

Full score ledger

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FASTSIGNS

Full score ledger

Evidence confidence

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Workout Anytime

Full score ledger