Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in Austin, Texas

We ranked 14 franchise concepts for Austin, Texas 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

23Sources used

14Primary sources

23Local 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

69.7 average across 2 concepts

Largest positive factorTarget-market demand

1.4 points average among 11 affected concepts

Largest negative factorTerritory quality

0.8 points average reduction among 14 affected concepts

Most assumption-sensitive rankFASTSIGNS

Tested rank range spans 9 positions

Executive conclusion

What the ranking means for Austin, Texas

Our Austin, Texas analysis favored concepts whose operating requirements matched the city’s strongest service-demand conditions without depending too heavily on inexpensive labor, easy routing, or low-cost commercial space. City Wide, ActionCOACH, and Jan-Pro International produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 11 concepts and added 1.4 points on average among them. Territory quality was the broadest negative pressure, reducing the 14 exposed concepts by 0.8 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	73.8Tier 2 · Favorable modeled alignment	+3.5 ptsTarget-market demand	-0.1 ptsTerritory quality	Moderate evidence confidence
2	ActionCOACHBusiness coaching	72.8Tier 2 · Favorable modeled alignment	+2.3 ptsTarget-market demand	-0.2 ptsTerritory quality	Moderate evidence confidence
3	Jan-Pro InternationalCommercial cleaning	72.3Tier 2 · Favorable modeled alignment	+2.9 ptsTarget-market demand	-0.6 ptsTerritory quality	Moderate evidence confidence
4	HomeSmilesProperty maintenance services	71.3Tier 3 · Mixed modeled alignment	+1.7 ptsTarget-market demand	-0.8 ptsTerritory quality	Moderate evidence confidence
5	FASTSIGNSSigns and graphics	71.1Tier 3 · Mixed modeled alignment	+2.7 ptsTarget-market demand	-1.0 ptsTerritory quality	Moderate evidence confidence
6	Tiger AdjustersPublic insurance adjusting	70.2Tier 3 · Mixed modeled alignment	+0.4 ptsReferral ecosystem	-0.5 ptsTerritory quality	Moderate evidence confidence
7	Pillar To Post Home InspectorsHome inspection	69.9Tier 3 · Mixed modeled alignment	+0.4 ptsReferral ecosystem	-0.7 ptsTerritory quality	Moderate evidence confidence
8	ZOOM DRAINDrain and sewer service	69.9Tier 3 · Mixed modeled alignment	+0.5 ptsTarget-market demand	-1.0 ptsTerritory quality	Moderate evidence confidence
9	Rainbow International RestorationRestoration	69.7Tier 3 · Mixed modeled alignment	+0.5 ptsReferral ecosystem	-0.9 ptsTerritory quality	Moderate evidence confidence
10	PuroCleanRestoration	69.6Tier 3 · Mixed modeled alignment	+0.5 ptsReferral ecosystem	-0.9 ptsTerritory quality	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: ^[5] ^[6] ^[7] ^[8] ^[10] ^[14] ^[15] ^[18] ^[4]Property replacement-cycle demand: ^[12] ^[13] ^[6] ^[7] ^[21] ^[2]Competitive environment: ^[8] ^[6] ^[11] ^[4]Labor and staffing friction: ^[8] ^[9] ^[10] ^[2]Transportation, routing, and parking: ^[20] ^[3] ^[4]Real estate and site feasibility: ^[14] ^[15] ^[16] ^[17] ^[18] ^[19] ^[23] ^[2] ^[3]Sales and customer acquisition: ^[11] ^[8] ^[10] ^[6]Referral ecosystem: ^[10] ^[8] ^[11] ^[6]Territory quality: ^[15] ^[18] ^[13] ^[20] ^[23] ^[4]Regulatory and operating friction: ^[19] ^[21] ^[22] ^[23] ^[11] ^[3] ^[4]

View the chart data as a table

Concept	Target-market demand	Real estate and site feasibility	Referral ecosystem	Territory quality
#1 City Wide	+3.5 pts	—	+0.5 pts	-0.1 pts
#2 ActionCOACH	+2.3 pts	-0.1 pts	+0.7 pts	-0.2 pts
#3 Jan-Pro International	+2.9 pts	—	—	-0.6 pts
#4 HomeSmiles	+1.7 pts	—	+0.5 pts	-0.8 pts
#5 FASTSIGNS	+2.7 pts	-0.8 pts	+0.1 pts	-1.0 pts
#6 Tiger Adjusters	+0.3 pts	—	+0.4 pts	-0.5 pts
#7 Pillar To Post Home Inspectors	+0.2 pts	—	+0.4 pts	-0.7 pts
#8 ZOOM DRAIN	+0.5 pts	—	+0.4 pts	-1.0 pts
#9 Rainbow International Restoration	+0.1 pts	—	+0.5 pts	-0.9 pts
#10 PuroClean	—	—	+0.5 pts	-0.9 pts
#11 Aire Serv	+0.4 pts	—	—	-0.8 pts
#12 Mr. Rooter	+0.4 pts	—	+0.1 pts	-0.9 pts
#13 Mister Sparky Electric	—	—	+0.1 pts	-0.8 pts
#14 Workout Anytime	—	-1.8 pts	—	-1.8 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–#2

#2 ActionCOACHModerately sensitive · tested #1–#3

#3 Jan-Pro InternationalHighly sensitive · tested #2–#9

#4 HomeSmilesStable · tested #4–#5

#5 FASTSIGNSHighly sensitive · tested #4–#13

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

#7 Pillar To Post Home InspectorsHighly sensitive · tested #4–#9

#8 ZOOM DRAINModerately sensitive · tested #6–#8

#9 Rainbow International RestorationHighly sensitive · tested #7–#11

#10 PuroCleanHighly sensitive · tested #6–#13

#11 Aire ServHighly sensitive · tested #7–#12

#12 Mr. RooterModerately sensitive · tested #10–#12

#13 Mister Sparky ElectricModerately sensitive · tested #10–#13

#14 Workout AnytimeStable · tested #14–#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	+3.5
Property replacement-cycle demand	Depends on the specific site, territory, or operating condition
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
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	Depends on the specific site, territory, or operating condition
Full-precision calculated score	73.81
Published local-market alignment	73.8

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, Jan-Pro International led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to territory quality. The same city condition can help one operating model and constrain another, so score differences should be read through each concept's factor pattern rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for Jan-Pro International, FASTSIGNS, 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 environment56Positive local support

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 11 of 14 concepts. When we neutralized the factor and recalculated the table, 12 concepts changed position. FASTSIGNS moved from #5 to #13, the largest movement among concepts directly affected by this factor.

Concepts adjusted11 of 14

Average among affected+1.4 pts

Average across all concepts+1.1 pts

Concepts changing rank12

Concepts helped most

City WideFacility management

+3.5 pts

Jan-Pro InternationalCommercial cleaning

+2.9 pts

FASTSIGNSSigns and graphics

+2.7 pts

ActionCOACHBusiness coaching

+2.3 pts

HomeSmilesProperty maintenance services

+1.7 pts

Measured but not differentiating in this concept set

Property replacement-cycle demandNo material score adjustment
Competitive environmentNo material score adjustment
Labor and staffing frictionNo material score adjustment
Transportation, routing, and parkingNo 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 Austin, Texas

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 69.6 to 69.7. Rainbow International Restoration ranked highest at 69.7. Referral ecosystem added 0.5 points on average among the affected concepts. Territory quality reduced the exposed concepts by 0.9 points on average.

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: 69.6–69.7
Category average: 69.7

Rainbow International Restoration69.7

PuroClean69.6

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 2 · Favorable modeled alignment73.8

City Wide

Facility management · B2B facility management and vendor coordination

Increase +3.5 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	+3.5
Property replacement-cycle demand	Depends on the specific site, territory, or operating condition
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
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	Depends on the specific site, territory, or operating condition
Full-precision calculated score	73.81
Published local-market alignment	73.8

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

Largest absolute effect: Target-market demand +3.5 pts
Tested rank range: #1–#2

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 2 · Favorable modeled alignment72.8

ActionCOACH

Business coaching · home-based B2B advisory

Increase +2.3 pts Target-market demandReduction -0.2 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	+2.3
Property replacement-cycle demand	Depends on the specific site, territory, or operating condition
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	-0.1
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.7
Territory quality	-0.2
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	72.75
Published local-market alignment	72.8

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

Largest absolute effect: Target-market demand +2.3 pts
Tested rank range: #1–#3

Most important next check

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

#3Tier 2 · Favorable modeled alignment72.3

Jan-Pro International

Commercial cleaning · recurring commercial route service

Increase +2.9 pts Target-market demandReduction -0.6 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	+2.9
Property replacement-cycle demand	Depends on the specific site, territory, or operating condition
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
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	-0.6
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	72.30
Published local-market alignment	72.3

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

Largest absolute effect: Target-market demand +2.9 pts
Tested rank range: #2–#9

Most important next check

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

#4Tier 3 · Mixed modeled alignment71.3

HomeSmiles

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

Increase +1.7 pts Target-market demandReduction -0.8 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	+1.7
Property replacement-cycle demand	Depends on the specific site, territory, or operating condition
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
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	-0.8
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.35
Published local-market alignment	71.3

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

Evidence confidence

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

Largest absolute effect: Target-market demand +1.7 pts
Tested rank range: #4–#5

Most important next check

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

#5Tier 3 · Mixed modeled alignment71.1

FASTSIGNS

Signs and graphics · B2B production and installation center

Increase +2.7 pts Target-market demandReduction -1.0 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	+2.7
Property replacement-cycle demand	Depends on the specific site, territory, or operating condition
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	-0.8
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.1
Territory quality	-1.0
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.09
Published local-market alignment	71.1

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

Largest absolute effect: Target-market demand +2.7 pts
Tested rank range: #4–#13

Most important next check

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

#6Tier 3 · Mixed modeled alignment70.2

Tiger Adjusters

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

Increase +0.4 pts Referral ecosystemReduction -0.5 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	+0.3
Property replacement-cycle demand	Depends on the specific site, territory, or operating condition
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
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	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.23
Published local-market alignment	70.2

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

Largest absolute effect: Territory quality -0.5 pts
Tested rank range: #3–#7

Most important next check

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

#7Tier 3 · Mixed modeled alignment69.9

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Increase +0.4 pts Referral ecosystemReduction -0.7 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	Depends on the specific site, territory, or operating condition
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
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	-0.7
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.92
Published local-market alignment	69.9

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

Evidence confidence

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

Largest absolute effect: Territory quality -0.7 pts
Tested rank range: #4–#9

Most important next check

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

#8Tier 3 · Mixed modeled alignment69.9

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Increase +0.5 pts Target-market demandReduction -1.0 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	+0.5
Property replacement-cycle demand	Depends on the specific site, territory, or operating condition
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
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	-1.0
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.90
Published local-market alignment	69.9

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

Evidence confidence

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

Largest absolute effect: Territory quality -1.0 pts
Tested rank range: #6–#8

Most important next check

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

#9Tier 3 · Mixed modeled alignment69.7

Rainbow International Restoration

Restoration · emergency property restoration

Increase +0.5 pts Referral ecosystemReduction -0.9 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	Depends on the specific site, territory, or operating condition
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
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	-0.9
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.73
Published local-market alignment	69.7

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

Largest absolute effect: Territory quality -0.9 pts
Tested rank range: #7–#11

Most important next check

Which territory boundaries allow Rainbow International Restoration to meet response-time expectations without excessive cross-city travel?

#10Tier 3 · Mixed modeled alignment69.6

PuroClean

Restoration · emergency property restoration

Increase +0.5 pts Referral ecosystemReduction -0.9 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	Not applicable to this operating model
Property replacement-cycle demand	Depends on the specific site, territory, or operating condition
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
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	-0.9
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.62
Published local-market alignment	69.6

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

Evidence confidence

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

Largest absolute effect: Territory quality -0.9 pts
Tested rank range: #6–#13

Most important next check

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

#11Tier 3 · Mixed modeled alignment69.6

Aire Serv

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

Increase +0.4 pts Target-market demandReduction -0.8 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	+0.4
Property replacement-cycle demand	Depends on the specific site, territory, or operating condition
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
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	-0.8
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.58
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: Strong
Factor Research Coverage: Strong
Franchise-profile completeness: Adequate
Source-evidence confidence: Adequate
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Territory quality -0.8 pts
Tested rank range: #7–#12

Most important next check

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

#12Tier 3 · Mixed modeled alignment69.6

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Increase +0.4 pts Target-market demandReduction -0.9 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	+0.4
Property replacement-cycle demand	Depends on the specific site, territory, or operating condition
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
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	-0.9
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.56
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: Strong
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Adequate
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Territory quality -0.9 pts
Tested rank range: #10–#12

Most important next check

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

#13Tier 3 · Mixed modeled alignment69.3

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +0.1 pts Referral ecosystemReduction -0.8 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	Not applicable to this operating model
Property replacement-cycle demand	Depends on the specific site, territory, or operating condition
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
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	-0.8
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.25
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: Strong
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Adequate
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Territory quality -0.8 pts
Tested rank range: #10–#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 alignment66.4

Workout Anytime

Fitness · fixed-location membership fitness

No material positive local adjustment identifiedReduction -1.8 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	Not applicable to this operating model
Property replacement-cycle demand	Depends on the specific site, territory, or operating condition
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	-1.8
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not applicable to this operating model
Territory quality	-1.8
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	66.45
Published local-market alignment	66.4

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

Largest absolute effect: Real estate and site feasibility -1.8 pts
Tested rank range: #14–#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 23 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	1,002,632people	July 1, 2025 population estimate and April 1, 2020 estimate base	Austin, Texas	Evidence for Target-market demand, Territory quality	^[5] ^[7]
Population change from the April 2020 estimate base to July 2025	4.6percent	July 1, 2025 population estimate and April 1, 2020 estimate base	Austin, Texas	Evidence for Target-market demand	^[5]
Estimated households in 2024	484,550households	2024 American Community Survey 1-year estimates; 2020 Decennial Census where identified	Austin, Texas	Evidence for Target-market demand, Territory quality	^[6]
Estimated total housing units in 2024	518,574housing units	2024 American Community Survey 1-year estimates; 2020 Decennial Census where identified	Austin, Texas	Evidence for Target-market demand, Property replacement-cycle demand, Territory quality	^[6]
Median household income and bachelor's-degree attainment	median household income usd: 90,430; bachelors degree or higher percent: 60.7mixed	2024 American Community Survey 1-year estimates; 2020 Decennial Census where identified	Austin, Texas	Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction	^[6]
Housing units added in Travis County from July 2024 to July 2025	units added: 16,197; percent change: 2.4housing units and percent	Population and housing-unit estimates for July 1, 2024 to July 1, 2025	Travis County, Texas	Evidence for Target-market demand, Property replacement-cycle demand, Territory quality	^[7]
Covered establishments, employment, and average weekly wages in Q4 2025	establishments: 76,604; employment: 1,316,516; average weekly wage usd: 1,878mixed	Employment through June 2026; QCEW establishments, employment, and wages for Q4 2025	Austin-Round Rock-San Marcos, Texas	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition, Labor and staffing friction	^[8]
Selected metropolitan sector employment in June 2026	professional and business services jobs: 293,100; government jobs: 212,300; private education and health services jobs: 171,600; construction and mining logging jobs: 99,700jobs	Employment through June 2026; QCEW establishments, employment, and wages for Q4 2025	Austin-Round Rock-San Marcos, Texas	Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction, Sales and customer acquisition	^[8]
Metropolitan and national unemployment rates in June 2026	austin metro percent: 4.1; united states percent: 4.4percent	Employment through June 2026; QCEW establishments, employment, and wages for Q4 2025	Austin-Round Rock-San Marcos, Texas and United States	Evidence for Labor and staffing friction	^[8]
University of Texas at Austin enrollment, faculty, and research scale	fall 2025 enrollment: 55,000; fall 2025 faculty: 4,693; fy2025 research expenditures usd: 1,370,000,000mixed	Fall 2025 enrollment and faculty; fiscal year 2025 research	University of Texas at Austin	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition, Territory quality	^[10]
City vendor and solicitation access requires use of formal procurement systems	vendor registration available: yes; solicitation search available: yes; nigp commodity codes used: yes; small business participation program: yesprocess features	Current procurement process accessed August 2026	City of Austin	Evidence for Target-market demand, Sales and customer acquisition, Referral ecosystem	^[11]
Austin spans distinct western and eastern ecological and soil regions	western region: Balcones Canyonlands and Edwards Plateau; eastern region: Northern Blackland Prairienamed regions	Current ecological-geography description accessed August 2026	Austin, Texas	Evidence for Property replacement-cycle demand, Territory quality	^[13] ^[2]
Houston Black soil has high shrink-swell behavior and deep seasonal cracking	clay content range percent: 40, 60; dry crack width range inches: 0.5, 4; shrink swell potential: highmixed	Current official soil-series description accessed August 2026	Houston Black soil series in Blackland Prairie areas	Evidence for Property replacement-cycle demand, Territory quality	^[12] ^[2]
Austin office vacancy and asking rent in Q2 2026	cbre vacancy percent: 23.4; cushman vacancy percent: 26.9; cbre asking rent usd psf year: 50.51; cushman asking rent usd psf year: 49.27percent and usd per square foot per year	Second quarter 2026	Austin office market	Evidence for Target-market demand, Real estate and site feasibility, Territory quality	^[14] ^[15]
Office vacancy varies sharply across Austin submarkets	cbd vacancy percent: 31; central vacancy percent: 11.2; northeast vacancy percent: 49.8; east vacancy percent: 45; southwest vacancy percent: 17.1; cbd class a asking rent usd psf year: 69.27percent and usd per square foot per year	Second quarter 2026	Austin office submarkets	Evidence for Target-market demand, Real estate and site feasibility, Territory quality	^[15] ^[2]
Austin industrial vacancy remained elevated in Q2 2026	cbre vacancy percent: 19.4; cushman vacancy percent: 22.3; cbre asking rent usd psf year: 13.78; cushman asking rent usd psf year: 11.78; cbre yoy rent change percent: -2.8percent and usd per square foot per year	Second quarter 2026	Austin industrial market	Evidence for Real estate and site feasibility, Territory quality	^[16] ^[17] ^[2]
Austin metropolitan retail vacancy and asking rent in Q1 2026	direct vacancy percent: 3.3; average net asking rent usd psf year: 27.21; quarterly net absorption sqft: 52,984mixed	First quarter 2026	Austin metropolitan retail market	Evidence for Real estate and site feasibility, Target-market demand, Territory quality	^[18]
Retail vacancy and rent vary materially by Austin-area submarket	lowest named city submarket vacancy percent: 1.4; lowest named city submarket: Southeast; highest named city submarket vacancy percent: 11.6; highest named city submarket: Northeast; cbd vacancy percent: 1.6; cbd net asking rent usd psf year: 35percent and usd per square foot per year	First quarter 2026	Austin-area retail submarkets	Evidence for Real estate and site feasibility, Territory quality, Target-market demand	^[18]
Current Austin Water impact fees for lots platted after October 1, 2023	water fee per service unit usd: 4,800; wastewater fee per service unit usd: 2,900; combined fee per service unit usd: 7,700usd per service unit	Current impact-fee schedule accessed August 2, 2026; FY 2025-2026 rates effective November 1, 2025	Austin Water impact-fee boundary	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[19] ^[3]
I-35 Capital Express North construction creates active frontage-road and interchange disruption	construction start: 2023-03; anticipated completion: 2029-early; frontage road one lane in some areas: yes; increased frontage road activity through: 2,026; project limits: SH 45 North to US 290 Eastproject status	Construction status through May 2026	I-35 Capital Express North project limits	Evidence for Transportation, routing, and parking, Territory quality, Target-market demand	^[20] ^[3]
Commercial ECAD benchmarking and reporting threshold	minimum building size sqft: 10,000; annual reporting deadline: June 1; requires austin energy service: yes; requires city limits location: yesrule thresholds	Current ordinance guidance accessed August 2026	Commercial buildings in Austin city limits served by Austin Energy	Evidence for Regulatory and operating friction, Property replacement-cycle demand	^[21]
Freestanding-sign limits in Austin scenic roadway sign districts	maximum freestanding signs per lot: 1; maximum sign area sqft: 64; maximum sign height ft: 12rule thresholds	Current code accessed August 2026	Austin scenic roadway sign districts	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[22] ^[3]
Airport CCLUA development review evaluates aviation-compatible site conditions	review topics: height hazards, glare, wildlife attractants, exterior lightingreview topics	Current development-review framework described in September 2023 presentation	Austin-Bergstrom CCLUA and airport overlay zones	Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality	^[23] ^[3]

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
Franchise-to-city operating-fit modelInternal or supplied research; not publicly accessible.
Publisher
User-supplied controlling model
Data period
model version 0.9.0-calibration
Scope
Model-wide
Locator
model.json retrieved from File Library
Source tier
Tier 1 · controlling internal taxonomy
Accessed
August 2, 2026
2
The Utility Delta: A Structural Audit of Ten U.S. MarketsInternal or supplied research; not publicly accessible.
Used for: Austin spans distinct western and eastern ecological and soil regions, Houston Black soil has high shrink-swell behavior and deep seasonal cracking, Office vacancy varies sharply across Austin submarkets, and Austin industrial vacancy remained elevated in Q2 2026
Publisher
Supplied research material
Data period
Underlying sources cited as accessed through February 24, 2026
Scope
Austin, Texas section within a ten-market research docket
Locator
Austin section, document paragraphs 92-100 and Austin Real Estate Divergence table
Source tier
Tier 5 · supplied bespoke research
Accessed
August 2, 2026
3
Structural Constraints and Hidden Costs: A Forensic Municipal AuditInternal or supplied research; not publicly accessible.
Used for: Current Austin Water impact fees for lots platted after October 1, 2023, I-35 Capital Express North construction creates active frontage-road and interchange disruption, Freestanding-sign limits in Austin scenic roadway sign districts, and Airport CCLUA development review evaluates aviation-compatible site conditions
Publisher
Supplied research material
Data period
Underlying sources cited as accessed through February 20, 2026
Scope
Austin, Texas section within a ten-jurisdiction research docket
Locator
Section 8, paragraphs 56-62 and Austin Utility Impact Fee table
Source tier
Tier 5 · supplied bespoke research
Accessed
August 2, 2026
4
Franchise data - 2 - riverside through charlotteInternal or supplied research; not publicly accessible.
Publisher
Supplied internal dataset
Data period
Undated supplied neighborhood records
Scope
Mueller, South Lamar, Zilker, Rosedale, Allandale, and Crestview in Austin, Texas
Locator
Six rows where city equals Austin
Source tier
Tier 5 · supplied internal data
Accessed
August 2, 2026
5
QuickFacts: Austin city, Texas
Used for: Resident population estimate on July 1, 2025 and Population change from the April 2020 estimate base to July 2025
Publisher
U.S. Census Bureau
Published
May 14, 2026
Data period
July 1, 2025 population estimate and April 1, 2020 estimate base
Scope
Austin city, Texas
Locator
Population estimates table
Source tier
Tier 1 · government
Accessed
August 2, 2026
6
Austin city, Texas Census Bureau Profile
Used for: Estimated households in 2024, Estimated total housing units in 2024, and Median household income and bachelor's-degree attainment
Publisher
U.S. Census Bureau
Data period
2024 American Community Survey 1-year estimates; 2020 Decennial Census where identified
Scope
Austin city, Texas
Locator
Housing, households, income, educational attainment, and employment highlights
Source tier
Tier 1 · government
Accessed
August 2, 2026
7
Austin Population Milestone: One Million and Counting
Used for: Resident population estimate on July 1, 2025 and Housing units added in Travis County from July 2024 to July 2025
Publisher
City of Austin Planning Department
Published
May 14, 2026
Data period
Population and housing-unit estimates for July 1, 2024 to July 1, 2025
Scope
Austin city, Travis County, and Austin metropolitan area, separately identified
Locator
City population milestone and county/metropolitan housing-unit additions
Source tier
Tier 1 · government
Accessed
August 2, 2026
8
Austin-Round Rock-San Marcos, TX, Metropolitan Area Data Tables
Used for: Covered establishments, employment, and average weekly wages in Q4 2025, Selected metropolitan sector employment in June 2026, and Metropolitan and national unemployment rates in June 2026
Publisher
U.S. Bureau of Labor Statistics
Published
July 29, 2026
Data period
Employment through June 2026; QCEW establishments, employment, and wages for Q4 2025
Scope
Austin-Round Rock-San Marcos metropolitan statistical area and component counties
Locator
Industry employment, unemployment, establishments, employment, and weekly-wage tables
Source tier
Tier 1 · government
Accessed
August 2, 2026
9
May 2025 Metropolitan and Nonmetropolitan Area Occupational Employment and Wage Estimates
Publisher
U.S. Bureau of Labor Statistics
Published
May 15, 2026
Data period
May 2025
Scope
Austin-Round Rock-San Marcos metropolitan statistical area
Locator
Area occupational-employment and wage data access page and methodology
Source tier
Tier 1 · government
Accessed
August 2, 2026
10
Facts & Figures
Used for: University of Texas at Austin enrollment, faculty, and research scale
Publisher
The University of Texas at Austin
Data period
Fall 2025 enrollment and faculty; fiscal year 2025 research
Scope
University of Texas at Austin main campus
Locator
UT at a Glance and Research sections
Source tier
Tier 2 · recognized institution
Accessed
August 2, 2026
11
Procurement and Small Business Procurement Program
Used for: City vendor and solicitation access requires use of formal procurement systems
Publisher
City of Austin Financial Services
Data period
Current procurement process accessed August 2026
Scope
City of Austin procurement
Locator
Vendor registration, solicitations, NIGP commodity codes, contracts, and small-business participation resources
Source tier
Tier 1 · government
Accessed
August 2, 2026
12
Official Soil Series Description: Houston Black Series
Used for: Houston Black soil has high shrink-swell behavior and deep seasonal cracking
Publisher
USDA Natural Resources Conservation Service
Data period
Current official soil-series description accessed August 2026
Scope
Houston Black soil series in Texas Blackland Prairie settings
Locator
Range in characteristics, clay content, cracking, and shrink-swell behavior
Source tier
Tier 1 · government
Accessed
August 2, 2026
13
Natural Resources and Nature-Based Programs
Used for: Austin spans distinct western and eastern ecological and soil regions
Publisher
City of Austin Parks and Recreation Department
Data period
Current ecological-geography description accessed August 2026
Scope
City of Austin ecological regions
Locator
Balcones Canyonlands/Edwards Plateau and Northern Blackland Prairie descriptions
Source tier
Tier 1 · government
Accessed
August 2, 2026
14
Austin Office Figures - Q2 2026
Used for: Austin office vacancy and asking rent in Q2 2026
Publisher
CBRE
Published
July 9, 2026
Data period
Second quarter 2026
Scope
Austin office market
Locator
Vacancy, absorption, construction pipeline, and asking-rent summary
Source tier
Tier 3 · credible industry
Accessed
August 2, 2026
15
Austin Office MarketBeat Q2 2026
Used for: Austin office vacancy and asking rent in Q2 2026 and Office vacancy varies sharply across Austin submarkets
Publisher
Cushman & Wakefield
Published
July 1, 2026
Data period
Second quarter 2026
Scope
Austin office market and named submarkets
Locator
Pages 1-2, market fundamentals and submarket statistics
Source tier
Tier 3 · credible industry
Accessed
August 2, 2026
16
Austin Industrial Figures - Q2 2026
Used for: Austin industrial vacancy remained elevated in Q2 2026
Publisher
CBRE
Published
July 9, 2026
Data period
Second quarter 2026
Scope
Austin industrial market
Locator
Vacancy, absorption, construction, and asking-rent summary
Source tier
Tier 3 · credible industry
Accessed
August 2, 2026
17
Austin Industrial MarketBeat Q2 2026
Used for: Austin industrial vacancy remained elevated in Q2 2026
Publisher
Cushman & Wakefield
Published
July 1, 2026
Data period
Second quarter 2026
Scope
Austin industrial market
Locator
Pages 1-3, market fundamentals and submarket statistics
Source tier
Tier 3 · credible industry
Accessed
August 2, 2026
18
Austin Retail Market Q1 2026
Used for: Austin metropolitan retail vacancy and asking rent in Q1 2026 and Retail vacancy and rent vary materially by Austin-area submarket
Publisher
Transwestern
Published
April 1, 2026
Data period
First quarter 2026
Scope
Austin metropolitan retail properties of 10,000 square feet or larger, with named submarkets
Locator
Pages 1-5, market observations and submarket table
Source tier
Tier 3 · credible industry
Accessed
August 2, 2026
19
Rates and Fees
Used for: Current Austin Water impact fees for lots platted after October 1, 2023
Publisher
Austin Water
Data period
Current impact-fee schedule accessed August 2, 2026; FY 2025-2026 rates effective November 1, 2025
Scope
Austin Water impact-fee boundary and service territory
Locator
Impact Fee Schedule for lots platted after October 1, 2023 and prior platting cohorts
Source tier
Tier 1 · government
Accessed
August 2, 2026
20
I-35 Capital Express North Project
Used for: I-35 Capital Express North construction creates active frontage-road and interchange disruption
Publisher
Texas Department of Transportation
Data period
Construction status through May 2026
Scope
I-35 from SH 45 North to US 290 East in the Austin area
Locator
Project overview, major impacts/activity, and schedule
Source tier
Tier 1 · government
Accessed
August 2, 2026
21
ECAD for Commercial Buildings
Used for: Commercial ECAD benchmarking and reporting threshold
Publisher
Austin Energy
Data period
Current ordinance guidance accessed August 2026
Scope
Commercial buildings within Austin city limits served by Austin Energy
Locator
Commercial building size, service-territory, and annual reporting requirements
Source tier
Tier 1 · government
Accessed
August 2, 2026
22
Austin Land Development Code Chapter 25-10: Sign Regulations
Used for: Freestanding-sign limits in Austin scenic roadway sign districts
Publisher
City of Austin via Municode
Data period
Current code accessed August 2026
Scope
Scenic roadway sign districts in Austin
Locator
Scenic roadway sign district freestanding-sign area, count, and height requirements
Source tier
Tier 1 · government
Accessed
August 2, 2026
23
Controlled Compatible Land Use Area and Airport Overlay Zones
Used for: Airport CCLUA development review evaluates aviation-compatible site conditions
Publisher
City of Austin Aviation Department
Published
September 1, 2023
Data period
Current development-review framework described in September 2023 presentation
Scope
Austin-Bergstrom International Airport controlled compatible land-use and overlay areas
Locator
CCLUA development review for height, glare, wildlife attractants, and exterior lighting
Source tier
Tier 1 · government
Accessed
August 2, 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 Austin, Texas

Why these concepts were evaluated

What stood out in our assessment

What the ranking means for Austin, Texas

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

Real estate and site feasibility

Concepts challenged most

Referral ecosystem

Concepts helped most

Territory quality

Concepts challenged most

Best franchise categories we assessed in Austin, Texas

Best Restoration franchise opportunities we assessed in Austin, Texas

Explore the complete score calculations

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FASTSIGNS

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Tiger Adjusters

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ZOOM DRAIN

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Rainbow International Restoration

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PuroClean

Full score ledger

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Aire Serv

Full score ledger

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Mr. Rooter

Full score ledger

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Mister Sparky Electric

Full score ledger

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Workout Anytime

Full score ledger

Evidence confidence

Most important next check

The 23 local metrics behind this analysis

What the model can and cannot establish