Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in Minneapolis, Minnesota

We compared 14 franchise concepts for Minneapolis, Minnesota.

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 Read the methodology

14Concepts evaluated

18Sources used

14Primary sources

34Local 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

66.5 average across 2 concepts

Largest positive factorTarget-market demand

1.1 points average among 10 affected concepts

Largest negative factorLabor and staffing friction

2.1 points average reduction among 14 affected concepts

Most assumption-sensitive rankWorkout Anytime

Tested rank range spans 7 positions

Executive conclusion

What the ranking means for Minneapolis, Minnesota

Our Minneapolis, Minnesota analysis favored concepts whose operating requirements matched the city’s strongest service-demand conditions without depending too heavily on inexpensive labor, easy routing, or low-cost commercial space. City Wide, ActionCOACH, and FASTSIGNS produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 10 concepts and added 1.1 points on average among them. Labor and staffing friction was the broadest negative pressure, reducing the 14 exposed concepts by 2.1 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	72.8Tier 2 · Favorable modeled alignment	+2.4 ptsTarget-market demand	-0.5 ptsLabor and staffing friction	Moderate evidence confidence
2	ActionCOACHBusiness coaching	72.5Tier 2 · Favorable modeled alignment	+1.9 ptsTarget-market demand	-0.1 ptsTerritory quality	Moderate evidence confidence
3	FASTSIGNSSigns and graphics	70.3Tier 3 · Mixed modeled alignment	+2.2 ptsTarget-market demand	-1.2 ptsLabor and staffing friction	Moderate evidence confidence
4	Jan-Pro InternationalCommercial cleaning	69.2Tier 3 · Mixed modeled alignment	+2.1 ptsTarget-market demand	-2.2 ptsLabor and staffing friction	Moderate evidence confidence
5	Tiger AdjustersPublic insurance adjusting	69.2Tier 3 · Mixed modeled alignment	+0.5 ptsReferral ecosystem	-0.9 ptsLabor and staffing friction	Moderate evidence confidence
6	Pillar To Post Home InspectorsHome inspection	69.1Tier 3 · Mixed modeled alignment	+0.5 ptsReferral ecosystem	-0.8 ptsTransportation, routing, and parking	Moderate evidence confidence
7	HomeSmilesProperty maintenance services	69.0Tier 3 · Mixed modeled alignment	+1.3 ptsTarget-market demand	-2.1 ptsLabor and staffing friction	Moderate evidence confidence
8	Workout AnytimeFitness	67.8Tier 3 · Mixed modeled alignment	No material positive local adjustment	-1.2 ptsLabor and staffing friction	Moderate evidence confidence
9	Rainbow International RestorationRestoration	66.5Tier 3 · Mixed modeled alignment	+0.7 ptsReferral ecosystem	-2.9 ptsLabor and staffing friction	Moderate evidence confidence
10	PuroCleanRestoration	66.4Tier 3 · Mixed modeled alignment	+0.7 ptsReferral ecosystem	-2.9 ptsLabor and staffing friction	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] ^[7] ^[16] ^[17] ^[13] ^[14] ^[15]Property replacement-cycle demand: ^[2] ^[3] ^[4] ^[5] ^[7] ^[8] ^[17]Competitive environment: ^[1] ^[7] ^[13] ^[12] ^[16]Labor and staffing friction: ^[9] ^[8] ^[1] ^[7]Transportation, routing, and parking: ^[10] ^[11] ^[12]Real estate and site feasibility: ^[12] ^[13] ^[11] ^[14] ^[15] ^[18] ^[3]Sales and customer acquisition: ^[1] ^[13] ^[15] ^[16] ^[7]Referral ecosystem: ^[16] ^[17] ^[1] ^[7]Territory quality: ^[10] ^[11] ^[13] ^[12] ^[14] ^[15] ^[16]Regulatory and operating friction: ^[3] ^[4] ^[5] ^[6] ^[18] ^[9] ^[14] ^[7]

View the chart data as a table

Concept	Target-market demand	Property replacement-cycle demand	Labor and staffing friction	Transportation, routing, and parking	Referral ecosystem	Territory quality
#1 City Wide	+2.4 pts	—	-0.5 pts	-0.1 pts	+1.0 pts	-0.1 pts
#2 ActionCOACH	+1.9 pts	—	-0.1 pts	-0.1 pts	+0.8 pts	-0.1 pts
#3 FASTSIGNS	+2.2 pts	—	-1.2 pts	-0.6 pts	+0.4 pts	-0.5 pts
#4 Jan-Pro International	+2.1 pts	—	-2.2 pts	-0.6 pts	+0.2 pts	-0.3 pts
#5 Tiger Adjusters	+0.3 pts	—	-0.9 pts	-0.4 pts	+0.5 pts	-0.2 pts
#6 Pillar To Post Home Inspectors	+0.2 pts	+0.3 pts	-0.7 pts	-0.8 pts	+0.5 pts	-0.4 pts
#7 HomeSmiles	+1.3 pts	—	-2.1 pts	-0.5 pts	+0.8 pts	-0.4 pts
#8 Workout Anytime	—	—	-1.2 pts	-0.2 pts	—	-0.9 pts
#9 Rainbow International Restoration	—	+0.4 pts	-2.9 pts	-1.3 pts	+0.7 pts	-0.4 pts
#10 PuroClean	—	+0.4 pts	-2.9 pts	-1.5 pts	+0.7 pts	-0.4 pts
#11 ZOOM DRAIN	+0.5 pts	+0.6 pts	-3.5 pts	-1.8 pts	+0.6 pts	-0.5 pts
#12 Mister Sparky Electric	—	+1.0 pts	-3.9 pts	-1.2 pts	+0.2 pts	-0.4 pts
#13 Aire Serv	+0.4 pts	+0.9 pts	-4.1 pts	-1.4 pts	—	-0.4 pts
#14 Mr. Rooter	+0.3 pts	+0.6 pts	-3.7 pts	-1.6 pts	+0.2 pts	-0.5 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 ActionCOACHStable · tested #1–#2

#3 FASTSIGNSModerately sensitive · tested #3–#5

#4 Jan-Pro InternationalHighly sensitive · tested #4–#8

#5 Tiger AdjustersModerately sensitive · tested #4–#6

#6 Pillar To Post Home InspectorsHighly sensitive · tested #3–#7

#7 HomeSmilesModerately sensitive · tested #5–#7

#8 Workout AnytimeHighly sensitive · tested #7–#14

#9 Rainbow International RestorationStable · tested #9–#10

#10 PuroCleanModerately sensitive · tested #9–#12

#11 ZOOM DRAINModerately sensitive · tested #11–#13

#12 Mister Sparky ElectricHighly sensitive · tested #8–#14

#13 Aire ServHighly sensitive · tested #9–#14

#14 Mr. RooterModerately sensitive · tested #12–#14

Neutralizing a factor removes it from every concept. A concept can move down even when its own score improves because competitors may benefit more.

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	+2.4
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.5
Transportation, routing, and parking	-0.1
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Not included in the score
Referral ecosystem	+1.0
Territory quality	-0.1
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	72.76
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.

Starting pointThe operating-model baseline shown in the first ledger row.

InteractionsAny interaction or gate is included in the relevant contribution or calibration row.

Confidence treatmentEvidence confidence is disclosed separately unless the model definition explicitly applies a calibration adjustment.

RoundingFull-precision contributions are summed before the final displayed score is rounded to one decimal place; whole-number results are shown without a trailing decimal.

Interpretation

How to interpret the result

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

Observed model effectPositive 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 10 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. Jan-Pro International moved from #4 to #8, the largest movement among concepts directly affected by this factor.

Concepts adjusted10 of 14

Average among affected+1.1 pts

Average across all concepts+0.8 pts

Concepts changing rank11

Concepts helped most

City WideFacility management

+2.4 pts

FASTSIGNSSigns and graphics

+2.2 pts

Jan-Pro InternationalCommercial cleaning

+2.1 pts

ActionCOACHBusiness coaching

+1.9 pts

HomeSmilesProperty maintenance services

+1.3 pts

Measured but not differentiating in this concept set

Competitive environmentNo material score adjustment
Real estate and site feasibilityNo material score adjustment
Sales and customer acquisitionNo material score adjustment
Regulatory and operating frictionNo material score adjustment

Category comparisons

Best franchise categories we assessed in Minneapolis, Minnesota

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 66.4 to 66.5. Rainbow International Restoration ranked highest at 66.5. Referral ecosystem added 0.7 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 2.9 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: 66.4–66.5
Category average: 66.5

Rainbow International Restoration66.5

PuroClean66.4

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 alignment72.8

City Wide

Facility management · B2B facility management and vendor coordination

Increase +2.4 pts Target-market demandReduction -0.5 pts Labor and staffing friction

Rank sensitivity: Stable

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+2.4
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.5
Transportation, routing, and parking	-0.1
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Not included in the score
Referral ecosystem	+1.0
Territory quality	-0.1
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	72.76
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: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +2.4 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 alignment72.5

ActionCOACH

Business coaching · home-based B2B advisory

Increase +1.9 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	+1.9
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.1
Transportation, routing, and parking	-0.1
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.8
Territory quality	-0.1
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	72.50
Published local-market alignment	72.5

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

Largest absolute effect: Target-market demand +1.9 pts
Tested rank range: #1–#2

Most important next check

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

#3Tier 3 · Mixed modeled alignment70.3

FASTSIGNS

Signs and graphics · B2B production and installation center

Increase +2.2 pts Target-market demandReduction -1.2 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+2.2
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-1.2
Transportation, routing, and parking	-0.6
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
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	70.32
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: Strong
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +2.2 pts
Tested rank range: #3–#5

Most important next check

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

#4Tier 3 · Mixed modeled alignment69.2

Jan-Pro International

Commercial cleaning · recurring commercial route service

Increase +2.1 pts Target-market demandReduction -2.2 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+2.1
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-2.2
Transportation, routing, and parking	-0.6
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.2
Territory quality	-0.3
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.22
Published local-market alignment	69.2

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

Largest absolute effect: Labor and staffing friction -2.2 pts
Tested rank range: #4–#8

Most important next check

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

#5Tier 3 · Mixed modeled alignment69.2

Tiger Adjusters

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

Increase +0.5 pts Referral ecosystemReduction -0.9 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

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

Neutral model 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	-0.9
Transportation, routing, and parking	-0.4
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.5
Territory quality	-0.2
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.22
Published local-market alignment	69.2

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

Largest absolute effect: Labor and staffing friction -0.9 pts
Tested rank range: #4–#6

Most important next check

What local sales staffing and activity level are required for Tiger Adjusters to build its initial pipeline?

#6Tier 3 · Mixed modeled alignment69.1

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Increase +0.5 pts Referral ecosystemReduction -0.8 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	+0.2
Property replacement-cycle demand	+0.3
Competitive environment	Not included in the score
Labor and staffing friction	-0.7
Transportation, routing, and parking	-0.8
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.5
Territory quality	-0.4
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.11
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: Strong
Factor Research Coverage: Strong
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: #3–#7

Most important next check

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

#7Tier 3 · Mixed modeled alignment69.0

HomeSmiles

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

Increase +1.3 pts Target-market demandReduction -2.1 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+1.3
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-2.1
Transportation, routing, and parking	-0.5
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.8
Territory quality	-0.4
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.05
Published local-market alignment	69.0

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

Largest absolute effect: Labor and staffing friction -2.1 pts
Tested rank range: #5–#7

Most important next check

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

#8Tier 3 · Mixed modeled alignment67.8

Workout Anytime

Fitness · fixed-location membership fitness

No material positive local adjustment identifiedReduction -1.2 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	Not applicable to this operating model
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-1.2
Transportation, routing, and parking	-0.2
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not applicable to this operating model
Territory quality	-0.9
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	67.75
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: Strong
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Labor and staffing friction -1.2 pts
Tested rank range: #7–#14

Most important next check

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

#9Tier 3 · Mixed modeled alignment66.5

Rainbow International Restoration

Restoration · emergency property restoration

Increase +0.7 pts Referral ecosystemReduction -2.9 pts Labor and staffing friction

Rank sensitivity: Stable

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	Not applicable to this operating model
Property replacement-cycle demand	+0.4
Competitive environment	Not included in the score
Labor and staffing friction	-2.9
Transportation, routing, and parking	-1.3
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.7
Territory quality	-0.4
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	66.54
Published local-market alignment	66.5

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

Largest absolute effect: Labor and staffing friction -2.9 pts
Tested rank range: #9–#10

Most important next check

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

#10Tier 3 · Mixed modeled alignment66.4

PuroClean

Restoration · emergency property restoration

Increase +0.7 pts Referral ecosystemReduction -2.9 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	Not applicable to this operating model
Property replacement-cycle demand	+0.4
Competitive environment	Not included in the score
Labor and staffing friction	-2.8
Transportation, routing, and parking	-1.5
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.7
Territory quality	-0.4
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	66.40
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: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Labor and staffing friction -2.9 pts
Tested rank range: #9–#12

Most important next check

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

#11Tier 3 · Mixed modeled alignment65.8

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Increase +0.6 pts Property replacement-cycle demandReduction -3.5 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

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

Neutral model 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	-3.5
Transportation, routing, and parking	-1.8
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.6
Territory quality	-0.5
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	65.75
Published local-market alignment	65.8

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

Largest absolute effect: Labor and staffing friction -3.5 pts
Tested rank range: #11–#13

Most important next check

What after-hours drain and sewer technician coverage must ZOOM DRAIN maintain, and what staffing model protects response times?

#12Tier 3 · Mixed modeled alignment65.6

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +1.0 pts Property replacement-cycle demandReduction -3.9 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	Not applicable to this operating model
Property replacement-cycle demand	+1.0
Competitive environment	Not included in the score
Labor and staffing friction	-3.9
Transportation, routing, and parking	-1.2
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.2
Territory quality	-0.4
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	65.60
Published local-market alignment	65.6

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

Largest absolute effect: Labor and staffing friction -3.9 pts
Tested rank range: #8–#14

Most important next check

Which licensed roles must Mister Sparky Electric hire or contract locally, and what recruiting timeline is built into the opening plan?

#13Tier 3 · Mixed modeled alignment65.4

Aire Serv

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

Increase +0.9 pts Property replacement-cycle demandReduction -4.1 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.4
Property replacement-cycle demand	+0.9
Competitive environment	Not included in the score
Labor and staffing friction	-4.1
Transportation, routing, and parking	-1.4
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not applicable to this operating model
Territory quality	-0.4
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	65.45
Published local-market alignment	65.4

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

Largest absolute effect: Labor and staffing friction -4.1 pts
Tested rank range: #9–#14

Most important next check

Which HVAC technician specialties must Aire Serv staff first, and what recruiting and training runway is built into the opening plan?

#14Tier 3 · Mixed modeled alignment65.4

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Increase +0.6 pts Property replacement-cycle demandReduction -3.7 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.3
Property replacement-cycle demand	+0.6
Competitive environment	Not included in the score
Labor and staffing friction	-3.7
Transportation, routing, and parking	-1.6
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.2
Territory quality	-0.5
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	65.41
Published local-market alignment	65.4

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

Largest absolute effect: Labor and staffing friction -3.7 pts
Tested rank range: #12–#14

Most important next check

What mix of scheduled-service plumbers and emergency-response capacity must Mr. Rooter staff for the proposed territory?

Metric registry

The 34 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	430,324people	July 1, 2025 population estimate; 2020-2024 household and housing estimates; 2022 economic receipts and sales	Minneapolis, Minnesota	Evidence for Target-market demand, Territory quality	^[1]
Population change from the April 2020 estimate base to July 2025	0.1percent	July 1, 2025 population estimate; 2020-2024 household and housing estimates; 2022 economic receipts and sales	Minneapolis, Minnesota	Evidence for Target-market demand	^[1]
Estimated households in 2020-2024	192,734households	July 1, 2025 population estimate; 2020-2024 household and housing estimates; 2022 economic receipts and sales	Minneapolis, Minnesota	Evidence for Target-market demand, Territory quality	^[1]
Owner-occupied housing-unit rate	47.7percent of occupied housing units	July 1, 2025 population estimate; 2020-2024 household and housing estimates; 2022 economic receipts and sales	Minneapolis, Minnesota	Evidence for Target-market demand, Property replacement-cycle demand	^[1]
Median gross rent	1,371usd per month	July 1, 2025 population estimate; 2020-2024 household and housing estimates; 2022 economic receipts and sales	Minneapolis, Minnesota	Evidence for Target-market demand, Labor and staffing friction	^[1]
Total retail sales in 2022	8,037,876,000usd	July 1, 2025 population estimate; 2020-2024 household and housing estimates; 2022 economic receipts and sales	Minneapolis, Minnesota	Evidence for Target-market demand	^[1]
Health care and social assistance receipts or revenue in 2022	10,259,785,000usd	July 1, 2025 population estimate; 2020-2024 household and housing estimates; 2022 economic receipts and sales	Minneapolis, Minnesota	Evidence for Target-market demand, Referral ecosystem	^[1]
Accommodation and food services sales in 2022	2,141,998,000usd	July 1, 2025 population estimate; 2020-2024 household and housing estimates; 2022 economic receipts and sales	Minneapolis, Minnesota	Evidence for Target-market demand, Labor and staffing friction	^[1]
Approximate count of 1-4 unit homes	88,000buildings approximate	Housing and energy conditions reported through 2022; climate-emissions data through 2021	Minneapolis 1-4 unit homes	Evidence for Property replacement-cycle demand, Target-market demand	^[2]
City reports many 1-4 unit homes were built before 1930	many homes pre 1930qualitative stock characteristic	Housing and energy conditions reported through 2022; climate-emissions data through 2021	Minneapolis 1-4 unit homes	Evidence for Property replacement-cycle demand	^[2]
City reports most 1-4 unit homes had inadequate insulation as of 2022	majorityshare category	Housing and energy conditions reported through 2022; climate-emissions data through 2021	Minneapolis 1-4 unit homes	Evidence for Property replacement-cycle demand, Regulatory and operating friction	^[2] ^[3]
Share of 1-4 unit homes reported to have enough power for rooftop solar or electric vehicle charging	20percent maximum	Housing and energy conditions reported through 2022; climate-emissions data through 2021	Minneapolis 1-4 unit homes	Evidence for Property replacement-cycle demand	^[2]
Declared construction value in 2025	1,072,174,289usd	Calendar year 2025 building permits and declared construction value	Minneapolis, Minnesota	Evidence for Target-market demand, Property replacement-cycle demand, Referral ecosystem	^[7]
Building permits issued in 2025	12,000permits approximate	Calendar year 2025 building permits and declared construction value	Minneapolis, Minnesota	Evidence for Target-market demand, Property replacement-cycle demand, Regulatory and operating friction	^[7]
Consecutive years with more than USD 1 billion in declared construction value through 2025	15years	Calendar year 2025 building permits and declared construction value	Minneapolis, Minnesota	Evidence for Target-market demand, Property replacement-cycle demand	^[7]
City minimum wage effective January 1, 2026	16.37usd per hour	Effective January 1, 2026	Work performed within Minneapolis city limits	Evidence for Labor and staffing friction, Regulatory and operating friction	^[9]
Mean hourly wage across all occupations in May 2025	local: 35.86; national: 33.54usd per hour	May 2025	Minneapolis-St	Evidence for Labor and staffing friction	^[8]
Mean hourly wages for selected frontline occupational groups in May 2025	food preparation and serving: 17.41; building and grounds cleaning and maintenance: 21.68; office and administrative support: 27; transportation and material moving: 27.08usd per hour	May 2025	Minneapolis-St	Evidence for Labor and staffing friction	^[8]
Mean hourly wages for selected skilled-trade occupational groups in May 2025	construction and extraction: 37.82; installation maintenance and repair: 33.63usd per hour	May 2025	Minneapolis-St	Evidence for Labor and staffing friction, Property replacement-cycle demand	^[8]
Snow emergencies impose rotating three-day curb-parking restrictions	day 1: no parking on either side of snow emergency routes until fully plowed; day 2: no parking on even sides of non-routes or either side of parkways; day 3: no parking on odd sides of non-routes until fully plowedrule sequence	Current rules, last updated June 30, 2026	Minneapolis streets and parkways	Evidence for Transportation, routing, and parking, Territory quality	^[10]
Many city businesses rely on curb or alley access for deliveries	widespread curb or alley loading reliancequalitative access characteristic	Implementation status and milestones through 2026; 2024-2027 action window	Minneapolis business and delivery locations	Evidence for Transportation, routing, and parking, Territory quality, Real estate and site feasibility	^[11]
Freight loading-zone demand and high-intensity delivery-zone studies are in progress	timeframe: 2024-2027; status: in progressprogram status	Implementation status and milestones through 2026; 2024-2027 action window	Minneapolis curb-management system	Evidence for Transportation, routing, and parking, Territory quality	^[11]
Minneapolis-St. Paul industrial vacancy rate in Q2 2026	4.4percent	Second quarter 2026	Minneapolis-St	Evidence for Real estate and site feasibility	^[12]
Average industrial asking rate in Q2 2026	9.12usd per square foot	Second quarter 2026	Minneapolis-St	Evidence for Real estate and site feasibility	^[12]
Average industrial lease size in Q2 2026	20,000square feet minimum approximate	Second quarter 2026	Minneapolis-St	Evidence for Real estate and site feasibility	^[12]
Retail vacancy by market segment at year-end 2025	metro: 6.1; suburban: 5.4; urban minimum: 13percent	Fourth quarter and full year 2025	Minneapolis-St	Evidence for Real estate and site feasibility, Target-market demand, Territory quality	^[13]
Citywide amendment reduces review friction for nonresidential-to-residential conversions	effective date: 2024-09-28; applies to: commercial and institutional buildings; main use: office conversionspolicy scope	Amendment effective September 28, 2024; page current through March 2026	Minneapolis, Minnesota	Evidence for Real estate and site feasibility, Target-market demand, Territory quality, Regulatory and operating friction	^[14]
City is implementing a plan to broaden downtown activity beyond office use	goal: 24 hour downtown; components: more housing, more resident services, all day activityprogram goal	Downtown Action Plan adopted in 2024; implementation context accessed July 2026	Downtown Minneapolis	Evidence for Target-market demand, Territory quality, Real estate and site feasibility	^[15]
University of Minnesota Twin Cities enrollment in fall 2025	57,879students	Fall 2025 final enrollment	University of Minnesota Twin Cities	Evidence for Target-market demand, Referral ecosystem, Territory quality	^[16]
University of Minnesota Twin Cities campus building count	348buildings	Fall 2024 enrollment and current campus profile	University of Minnesota Twin Cities	Evidence for Target-market demand, Property replacement-cycle demand, Referral ecosystem	^[17]
Commercial and multifamily energy-benchmarking size threshold	50,000gross square feet minimum	Policy overview for commercial and multifamily benchmarking and residential energy disclosure	Minneapolis commercial and multifamily buildings	Evidence for Regulatory and operating friction, Property replacement-cycle demand, Real estate and site feasibility	^[3] ^[4]
Annual energy-benchmarking submission deadline and first fine	deadline: June 1; initial fine: 200; repeat fines: up to four with each amount doublingusd and process	Current annual submission and enforcement rules accessed July 2026	Buildings subject to Minneapolis energy benchmarking	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[6]
Low-performing building energy-evaluation trigger	energy star score maximum: 75; additional condition: listed as low performing; evaluation validity years: 5score and duration	Current evaluation rules accessed July 2026	Low-performing benchmarked buildings in Minneapolis	Evidence for Regulatory and operating friction, Property replacement-cycle demand	^[5]
Building-mounted signs require a permit, licensed sign contractor, and zoning approval	permit required: yes; city licensed contractor required: yes; zoning approval required: yesrequirements	Current requirements, last updated June 30, 2026	Buildings with signs in Minneapolis	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[18]

How to use the ranking

What the model can and cannot establish

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

Methodology

How the local-alignment ranking is calculated

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.

How the common baseline becomes a city-specific score

Every concept starts from the same 70.0 reference point, so differences come only from modeled local interactions. The current model caps total local movement at ±18.0 points. The score is not a percentage, probability, or estimate of investment quality.

Precision and materiality

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

Score tiers

Tier 1 · Strongest modeled alignment80.0–100.0

Tier 2 · Favorable modeled alignment72.0–<80.0

Tier 3 · Mixed modeled alignment64.0–<72.0

Tier 4 · Higher-friction modeled alignment0.0–<64.0

How factor rows are classified

Positive local adjustmentNegative local adjustmentMeasured; no meaningful local adjustmentEffect below the publication thresholdNot applicable to this operating modelDepends on the specific site, territory, or operating conditionNot included in the score

What “best” means here

“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page.

Model 0.9.0 · Compiler 0.9.10-nonzero-markers-only · Report generated August 5, 2026 (site timezone)

Model governance

How this report is calculated and corrected

Calculation controls

Model designer: Thomas Jepsen

No concept’s final score is manually raised or lowered after calculation. Before this template is activated, the report is reviewed for source scope, classification, arithmetic, unsupported claims, duplication, and readability.

Model history

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: Minneapolis city, Minnesota
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Estimated households in 2020-2024, Owner-occupied housing-unit rate, and Median gross rent
Publisher
U.S. Census Bureau
Data period
July 1, 2025 population estimate; 2020-2024 household and housing estimates; 2022 economic receipts and sales
Scope
Minneapolis city, Minnesota
Locator
Population, housing, households, education, labor-force, and economy tables
Source tier
Tier 1 · government
Accessed
July 31, 2026
2
Healthy Homes
Used for: Approximate count of 1-4 unit homes, City reports many 1-4 unit homes were built before 1930, City reports most 1-4 unit homes had inadequate insulation as of 2022, and Share of 1-4 unit homes reported to have enough power for rooftop solar or electric vehicle charging
Publisher
City of Minneapolis Climate Equity Tracker
Data period
Housing and energy conditions reported through 2022; climate-emissions data through 2021
Scope
Minneapolis 1-4 unit residential buildings
Locator
How our homes use energy and why it matters; climate impact; equity impact
Source tier
Tier 1 · government
Accessed
July 31, 2026
3
Residential Energy Disclosure
Used for: City reports most 1-4 unit homes had inadequate insulation as of 2022 and Commercial and multifamily energy-benchmarking size threshold
Publisher
City of Minneapolis
Data period
Policy overview for commercial and multifamily benchmarking and residential energy disclosure
Scope
Minneapolis commercial properties, multifamily buildings, rental properties, and homes
Locator
Pages 1-2, Residential Benchmarking, Time-of-Rent Energy Disclosure, and Time of Sale Energy Disclosure
Source tier
Tier 1 · government
Accessed
July 31, 2026
4
Energy Benchmarking
Used for: Commercial and multifamily energy-benchmarking size threshold
Publisher
City of Minneapolis
Data period
Current program requirements accessed July 2026
Scope
Large commercial and multifamily buildings in Minneapolis
Locator
Must comply lists, submission deadline, energy evaluations, and funding links
Source tier
Tier 1 · government
Accessed
July 31, 2026
5
Energy Evaluations
Used for: Low-performing building energy-evaluation trigger
Publisher
City of Minneapolis
Data period
Current evaluation rules accessed July 2026
Scope
Low-performing benchmarked buildings in Minneapolis
Locator
Required evaluation triggers, five-year validity, and exceptions
Source tier
Tier 1 · government
Accessed
July 31, 2026
6
Deadlines and Fines
Used for: Annual energy-benchmarking submission deadline and first fine
Publisher
City of Minneapolis
Data period
Current annual submission and enforcement rules accessed July 2026
Scope
Buildings subject to Minneapolis energy benchmarking
Locator
June 1 deadline and escalating fine process
Source tier
Tier 1 · government
Accessed
July 31, 2026
7
City's Top 2025 Construction Value Projects Include Historic Redevelopment
Used for: Declared construction value in 2025, Building permits issued in 2025, and Consecutive years with more than USD 1 billion in declared construction value through 2025
Publisher
City of Minneapolis
Published
March 2, 2026
Data period
Calendar year 2025 building permits and declared construction value
Scope
City of Minneapolis
Locator
Construction value, permit count, and top-project list
Source tier
Tier 1 · government
Accessed
July 31, 2026
8
Occupational Employment and Wages in Minneapolis-St. Paul-Bloomington — May 2025
Used for: Mean hourly wage across all occupations in May 2025, Mean hourly wages for selected frontline occupational groups in May 2025, and Mean hourly wages for selected skilled-trade occupational groups in May 2025
Publisher
U.S. Bureau of Labor Statistics
Published
July 29, 2026
Data period
May 2025
Scope
Minneapolis-St. Paul-Bloomington, MN-WI metropolitan statistical area
Locator
Table A major occupational groups and metropolitan-area definition
Source tier
Tier 1 · government
Accessed
July 31, 2026
9
Minneapolis Minimum Wage Increases to $16.37 for All Employers
Used for: City minimum wage effective January 1, 2026
Publisher
City of Minneapolis
Published
December 19, 2025
Data period
Effective January 1, 2026
Scope
Employees performing work within Minneapolis city limits
Locator
2026 hourly rate, coverage rule, and employer notice obligations
Source tier
Tier 1 · government
Accessed
July 31, 2026
10
Snow Emergency Parking Rules
Used for: Snow emergencies impose rotating three-day curb-parking restrictions
Publisher
City of Minneapolis
Data period
Current rules, last updated June 30, 2026
Scope
Minneapolis streets, parkways, and snow emergency routes
Locator
Overview and Day 1-Day 3 parking restrictions
Source tier
Tier 1 · government
Accessed
July 31, 2026
11
Transportation Action Plan, Freight Strategy 5: Dynamic Freight Loading Zones
Used for: Many city businesses rely on curb or alley access for deliveries and Freight loading-zone demand and high-intensity delivery-zone studies are in progress
Publisher
City of Minneapolis
Data period
Implementation status and milestones through 2026; 2024-2027 action window
Scope
Citywide Minneapolis freight-loading and curb-management system
Locator
Loading reliance, Freight 5.1-5.5 actions, timeframes, and status
Source tier
Tier 1 · government
Accessed
July 31, 2026
12
Minneapolis Industrial Figures Q2 2026
Used for: Minneapolis-St. Paul industrial vacancy rate in Q2 2026, Average industrial asking rate in Q2 2026, and Average industrial lease size in Q2 2026
Publisher
CBRE
Published
July 8, 2026
Data period
Second quarter 2026
Scope
Minneapolis-St. Paul industrial market
Locator
Net absorption, construction, vacancy, asking rate, and average lease-size summary
Source tier
Tier 3 · credible industry
Accessed
July 31, 2026
13
Minneapolis Q4 Retail Market Report 2025
Used for: Retail vacancy by market segment at year-end 2025
Publisher
Colliers
Published
January 26, 2026
Data period
Fourth quarter and full year 2025
Scope
Minneapolis-St. Paul retail market with urban and suburban submarket distinctions
Locator
Metro, suburban, and urban vacancy; rent and format commentary
Source tier
Tier 3 · credible industry
Accessed
July 31, 2026
14
Office to Residential Conversions Amendment
Used for: Citywide amendment reduces review friction for nonresidential-to-residential conversions
Publisher
City of Minneapolis
Data period
Amendment effective September 28, 2024; page current through March 2026
Scope
Commercial and institutional buildings throughout Minneapolis, mainly office conversions
Locator
Background, citywide applicability, goals, and effective date
Source tier
Tier 1 · government
Accessed
July 31, 2026
15
Downtown Reimagined
Used for: City is implementing a plan to broaden downtown activity beyond office use
Publisher
City of Minneapolis
Data period
Downtown Action Plan adopted in 2024; implementation context accessed July 2026
Scope
Downtown Minneapolis
Locator
24-hour downtown goals, Downtown Action Plan, and conversion initiative
Source tier
Tier 1 · government
Accessed
July 31, 2026
16
College of Science and Engineering Makes Progress Toward Growth
Used for: University of Minnesota Twin Cities enrollment in fall 2025
Publisher
University of Minnesota Twin Cities
Published
October 30, 2025
Data period
Fall 2025 final enrollment
Scope
University of Minnesota Twin Cities campus
Locator
Fall 2025 total campus enrollment and first-year enrollment
Source tier
Tier 2 · recognized institutional research
Accessed
July 31, 2026
17
University of Minnesota System Campuses: Twin Cities
Used for: University of Minnesota Twin Cities campus building count
Publisher
University of Minnesota System
Data period
Fall 2024 enrollment and current campus profile
Scope
University of Minnesota Twin Cities campus in Minneapolis and St. Paul
Locator
Twin Cities campus enrollment, acreage, buildings, and school mix
Source tier
Tier 2 · recognized institutional research
Accessed
July 31, 2026
18
Sign Permit
Used for: Building-mounted signs require a permit, licensed sign contractor, and zoning approval
Publisher
City of Minneapolis
Data period
Current requirements, last updated June 30, 2026
Scope
Building-mounted signs in Minneapolis
Locator
Permit requirement, licensed-contractor requirement, and zoning approval
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 Minneapolis, Minnesota

Why these concepts were evaluated

What stood out in our assessment

What the ranking means for Minneapolis, Minnesota

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

Labor and staffing friction

Concepts challenged most

Transportation, routing, and parking

Concepts challenged most

Referral ecosystem

Concepts helped most

Territory quality

Concepts challenged most

Best franchise categories we assessed in Minneapolis, Minnesota

Best Restoration franchise opportunities we assessed in Minneapolis, Minnesota

Explore the complete score calculations

City Wide

Full score ledger

Evidence confidence

Most important next check

ActionCOACH

Full score ledger

Evidence confidence

Most important next check

FASTSIGNS

Full score ledger

Evidence confidence

Most important next check

Jan-Pro International

Full score ledger

Evidence confidence

Most important next check

Tiger Adjusters

Full score ledger

Evidence confidence

Most important next check

Pillar To Post Home Inspectors

Full score ledger

Evidence confidence

Most important next check

HomeSmiles

Full score ledger

Evidence confidence

Most important next check

Workout Anytime

Full score ledger

Evidence confidence

Most important next check

Rainbow International Restoration

Full score ledger

Evidence confidence

Most important next check

PuroClean

Full score ledger

Evidence confidence

Most important next check

ZOOM DRAIN

Full score ledger

Evidence confidence

Most important next check

Mister Sparky Electric

Full score ledger

Evidence confidence

Most important next check

Aire Serv

Full score ledger

Evidence confidence

Most important next check

Mr. Rooter

Full score ledger