Local operating-model alignment analysis
Best Franchise Opportunities in Gulfport, Mississippi, According to Our Study
Compare 13 franchise concepts in Gulfport and see how lower local labor costs and 55.1% owner-occupied housing share shaped local fit scores.
Summary
Pillar To Post Home Inspectors ranks first among the concepts assessed for Gulfport, Mississippi
We compared 13 franchise concepts against Gulfport's modeled operating realities. The mean wage across all occupations in the Gulfport-Biloxi, MS Metropolitan Statistical Area was $25.13/hour in May 2024, compared with $32.66/hour nationally. This created one of the strongest positive local signals for concepts whose operating models are sensitive to lower local labor costs. [3] Owner-occupied homes made up 55.1% of occupied housing in Gulfport in the 2020β2024 estimates. The model uses this measure when assessing exposure to homeowner customers. [1] [2]
Pillar To Post Home Inspectors scored 70.60. It leads Workout Anytime by 0.32 points. Pillar To Post Home Inspectors, Workout Anytime, and City Wide Facility Solutions produced the highest modeled scores of 70.60, 70.28, and 70.21 among the 13 franchise opportunities assessed for Gulfport, Mississippi conditions. 17.7% of Gulfport residents had moved within the previous year in the 2020β2024 estimates. For Pillar To Post Home Inspectors, this was the largest positive score adjustment, adding 0.65 points through housing turnover. [1] [2] Owner-occupied units made up 55.1% of occupied housing in Gulfport in the 2020β2024 estimates. For Pillar To Post Home Inspectors, this was the largest negative contribution, reducing the score by 0.53 points through lower owner-occupancy. [1] [2] The largest direct difference versus Workout Anytime came from Gulfport's 17.7% recent-mover share. This relationship contributed +0.65 points to Pillar To Post Home Inspectors, while Workout Anytime had no score-changing contribution from it. [1] [2]
- Local reality: 17.7% of Gulfport residents had moved within the previous year in the 2020β2024 estimates. [1] [2]
- Impact on our study: In the model, Pillar To Post Home Inspectors is associated with moves and property turnover. The operating assumption used here is: Demand scales materially with moves, leases, property transfers, household turnover, or occupancy changes across the housing stock.
- Modeled consequence: The model assigned +0.65 points through housing turnover.
What this means: this is a modeled study of documented local conditions against franchise-specific operating assumptions. It is not an investment recommendation.
Best franchise opportunities assessed
Top 10 franchises that scored best in our study
| Rank | Franchise | Local fit score | Largest advantage | Largest constraint | Evidence confidence |
|---|---|---|---|---|---|
| 1 | Pillar To Post Home InspectorsHome InspectionInvestment: $102,690β$134,290 Item 7 source | 70.60 | +0.65 pts17.7% recent-mover share | -0.53 ptsOwner-occupied housing: 55.1% | High evidence confidence |
| 2 | Workout AnytimeFull-Service FitnessInvestment: $1,060,850β$1,840,550 Item 7 source | 70.28 | +0.31 pts$35,058 retail sales per capita | -0.23 pts$700 per fixture commercial-project sewer tapping charge | High evidence confidence |
| 3 | City Wide Facility SolutionsIntegrated Facility Management | 70.21 | +0.21 pts$201.6 million transportation and warehousing receipts | -0.10 ptsGeneral operating challenge | High evidence confidence |
| 4 | FASTSIGNSSigns & GraphicsInvestment: $231,226β$386,285 Item 7 source | 70.18 | +0.18 pts$25.13/hour all-occupations mean wage vs. $32.66/hour nationally | -0.10 ptsGeneral operating challenge | High evidence confidence |
| 5 | Aire ServHVACInvestment: $113,308β$271,708 Item 7 source | 70.14 | +0.41 pts$25.13/hour all-occupations mean wage vs. $32.66/hour nationally | -0.53 ptsOwner-occupied housing: 55.1% | High evidence confidence |
| 6 | ZOOM DRAINPlumbing & Drain ServicesInvestment: $266,250β$570,500 Item 7 source | 70.13 | +0.40 pts$25.13/hour all-occupations mean wage vs. $32.66/hour nationally | -0.53 ptsOwner-occupied housing: 55.1% | High evidence confidence |
| 7 | HomeSmilesRecurring Property MaintenanceInvestment: $148,110β$201,800 Item 7 source | 70.07 | +0.32 pts$25.13/hour all-occupations mean wage vs. $32.66/hour nationally | -0.58 ptsOwner-occupied housing: 55.1% | High evidence confidence |
| 8 | Mr. RooterPlumbing & Drain ServicesInvestment: $152,900β$298,675 Item 7 source | 70.07 | +0.40 pts$25.13/hour all-occupations mean wage vs. $32.66/hour nationally | -0.53 ptsOwner-occupied housing: 55.1% | High evidence confidence |
| 9 | PuroCleanProperty RestorationInvestment: $54,575β$262,145 Item 7 source | 70.01 | +0.27 pts$25.13/hour all-occupations mean wage vs. $32.66/hour nationally | -0.35 ptsOwner-occupied housing: 55.1% | High evidence confidence |
| 10 | Rainbow International RestorationProperty RestorationInvestment: $185,336β$351,900 Item 7 source | 70.01 | +0.27 pts$25.13/hour all-occupations mean wage vs. $32.66/hour nationally | -0.35 ptsOwner-occupied housing: 55.1% | High evidence confidence |
How the ranking works
Scoring walkthrough for Gulfport, Mississippi
Follow the scoring workflow, then review the current results on this page.
Animation based on our earlier modelβs results but kept for illustrative purposes. Current model scores may differ.
Cross-concept impact analysis
The local conditions that moved scores most
A city condition changes a franchise score only when it intersects with a relevant operating-model exposure. The center shows average effect when applied; the surrounding ring shows how broadly that relationship reached across the concepts assessed.
Details for Owner-occupied housing: 55.1% Γ dependence on homeowner customers
Owner-occupied units made up 55.1% of occupied housing in Gulfport in the 2020β2024 estimates.
- Mississippi owner-occupied share
- 70%
- Difference
- -14.9 percentage points
Most relevant modeled attributes: homeownership dependency.
Details for $25.13/hour all-occupations mean wage vs. $32.66/hour nationally Γ labor-cost sensitivity
The mean wage across all occupations in the Gulfport-Biloxi, MS Metropolitan Statistical Area was $25.13/hour in May 2024, compared with $32.66/hour nationally.
- U.S. all-occupation wage
- $32.66/hour
- Difference
- -$7.53/hour
Most relevant modeled attributes: skilled trade labor, technical labor, and administrative labor.
Details for population change since 2020: 2.3% Γ demand sensitivity to population and household growth
Gulfport's population estimate is 2.3% above its 2020 baseline.
- Mississippi change
- -0.6%
- Difference
- +2.9 percentage points
Most relevant modeled attributes: scheduled residential service, recurring residential demand, and housing turnover dependency.
Details for 17.7% recent-mover share Γ demand associated with moves and property turnover
17.7% of Gulfport residents had moved within the previous year in the 2020β2024 estimates.
- Mississippi moved within prior year
- 10.9%
- Difference
- +6.8 percentage points
Most relevant modeled attributes: housing turnover dependency and real estate transaction dependency.
Details for Renter-occupied housing: 44.9% Γ renter and professionally managed residential demand
Renter-occupied units made up 44.9% of occupied housing in Gulfport in the 2020β2024 estimates.
- Mississippi renter share
- 30%
- Difference
- +14.9 percentage points
Most relevant modeled attributes: multi family housing dependency.
Conditions visualized
Some Gulfport conditions affect franchise models differently
See how local conditions affect modeled operating exposure, exact score contributions and the resulting differences. Click to open the images.
Why the ranking came out this way
#1 vs. #2
How the scores differ
Pillar To Post Home Inspectors vs. Workout Anytime
The scores are close enough to treat these franchises as a leading group rather than a decisive first and second place.
| Modeled relationship | Pillar To Post Home Inspectors | Workout Anytime | Difference |
|---|---|---|---|
| 17.7% recent-mover share [1] [2] | +0.65 pts | 0.00 pts | +0.65 pts |
| Owner-occupied housing: 55.1% [1] [2] | -0.53 pts | 0.00 pts | -0.53 pts |
| $35,058 retail sales per capita [1] [2] | 0.00 pts | +0.31 pts | -0.31 pts |
| $700 per fixture commercial-project sewer tapping charge [15] | 0.00 pts | -0.23 pts | +0.23 pts |
| $25.13/hour all-occupations mean wage vs. $32.66/hour nationally [3] | +0.29 pts | +0.15 pts | +0.14 pts |
| population change since 2020: 2.3% [1] [2] | +0.18 pts | +0.04 pts | +0.14 pts |
Selected material differences are shown; omitted drivers and rounding mean these rows need not sum to the final score gap.
Gulfport's 17.7% recent-mover share created the largest modeled gap in this head-to-head. It contributed +0.65 points to Pillar To Post Home Inspectors; Workout Anytime had no score-changing contribution. [1] [2]
Contribution path for Pillar To Post Home Inspectors
View the full scoring table for Pillar To Post Home Inspectors
Full score ledger
| Neutral model baseline | 70.00 |
|---|---|
| Customer demand | +0.31 |
| Repair and replacement demand | Candidate considerations |
| Local competition | Not included in the score |
| Hiring and staffing conditions | +0.29 |
| Driving, routing, and parking | Not included in the score |
| Finding and operating the right location | Not included in the score |
| Winning new customers | Not included in the score |
| Referral channels | Candidate considerations |
| Territory conditions | Not included in the score |
| Local rules and operating requirements | Not applicable to this operating model |
| Full-precision calculated score | 70.601 |
| Published local fit | 70.60 |
Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.
Inside the analysis workflow
The analytical system behind the report
Methodology-reference views of the research and QA workflow. Open any image for the full-size version.
Evaluation set
Why these franchises?
This is not an exhaustive list of available franchises.
We included brands with enough operating information to build local-sensitivity profiles, like Youtube transcripts, proprietary company interviews, and elaborate, public data sources. Our referral arrangements do not add points or change a brandβs position.
Pipeline Franchises working with a brand does not add points in the analysis.
Study conclusions
Notable observations from our study
70.10 average across 2 franchises
0.27 points added on average for 12 franchises
0.12 points subtracted on average for 12 franchises
Tested rank range spans 10 positions
Compare all assessed concepts
Local impact by franchise concept
13 franchises modeled. View a brand to see factors applied to its calculation. The full score ledgers list every factor category. Their numerical totals combine positive and negative effects; the individual adjustment tables show material increases and decreases separately, including those that offset one another.
Pillar To Post Home Inspectors
Initial investment: $102,690β$134,290
Rank sensitivity: Highly sensitive
View full franchise scores
3 advantages and 1 constraint used to calculate the score for Pillar To Post Home Inspectors.
Customer demand
Hiring and staffing conditions
| Scored local driver | Effect | Evidence |
|---|---|---|
| $25.13/hour all-occupations mean wage vs. $32.66/hour nationally | +0.29 pts | HighSource |
Franchise evidence
Source material assessed
See the full calculation
Audit layer
Full factor ledger
Full score ledger
| Neutral model baseline | 70.00 |
|---|---|
| Customer demand | +0.31 |
| Repair and replacement demand | Candidate considerations |
| Local competition | Not included in the score |
| Hiring and staffing conditions | +0.29 |
| Driving, routing, and parking | Not included in the score |
| Finding and operating the right location | Not included in the score |
| Winning new customers | Not included in the score |
| Referral channels | Candidate considerations |
| Territory conditions | Not included in the score |
| Local rules and operating requirements | Not applicable to this operating model |
| Full-precision calculated score | 70.601 |
| Published local fit | 70.60 |
Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Strong
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- High evidence confidence
- Largest absolute effect
- Customer demand +0.31 pts
- Tested rank range
- #1β#6
Workout Anytime
Initial investment: $1,060,850β$1,840,550
Rank sensitivity: Highly sensitive
View full franchise scores
2 advantages and 1 constraint used to calculate the score for Workout Anytime. 1 additional scored adjustment is below the display threshold and contributes +0.044 points to the total.
Customer demand
| Scored local driver | Effect | Evidence |
|---|---|---|
| $35,058 retail sales per capitaLargest driverRelationship test: Rank #2 to #10 without this driver. | +0.31 pts | HighSource |
Local rules and operating requirements
| Scored local driver | Effect | Evidence |
|---|---|---|
| $700 per fixture commercial-project sewer tapping charge | -0.23 pts | HighSource |
Hiring and staffing conditions
| Scored local driver | Effect | Evidence |
|---|---|---|
| $25.13/hour all-occupations mean wage vs. $32.66/hour nationally | +0.15 pts | HighSource |
Applicability depends on the selected site specific
Applicability depends on the selected floodplain
Franchise evidence
FDD screenshots
See the full calculation
Audit layer
Full factor ledger
Full score ledger
| Neutral model baseline | 70.00 |
|---|---|
| Customer demand | +0.36 |
| Repair and replacement demand | Candidate considerations |
| Local competition | Not included in the score |
| Hiring and staffing conditions | +0.15 |
| Driving, routing, and parking | Not included in the score |
| Finding and operating the right location | Not included in the score |
| Winning new customers | Not included in the score |
| Referral channels | Candidate considerations |
| Territory conditions | Not included in the score |
| Local rules and operating requirements | -0.23 |
| Full-precision calculated score | 70.277 |
| Published local fit | 70.28 |
Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Strong
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- High evidence confidence
- Largest absolute effect
- Customer demand +0.36 pts
- Tested rank range
- #2β#12
City Wide Facility Solutions
Rank sensitivity: Highly sensitive
View full franchise scores
2 advantages and 1 constraint used to calculate the score for City Wide Facility Solutions.
Customer demand
| Scored local driver | Effect | Evidence |
|---|---|---|
| $201.6 million transportation and warehousing receiptsLargest driverRelationship test: Rank #3 to #10 without this driver. | +0.21 pts | HighSource |
Hiring and staffing conditions
| Scored local driver | Effect | Evidence |
|---|---|---|
| $25.13/hour all-occupations mean wage vs. $32.66/hour nationally | +0.10 pts | HighSource |
Local rules and operating requirements
| Scored local driver | Effect | Evidence |
|---|---|---|
| General operating challenge | -0.10 pts | Moderate |
See the full calculation
Audit layer
Full factor ledger
Full score ledger
| Neutral model baseline | 70.00 |
|---|---|
| Customer demand | +0.21 |
| Repair and replacement demand | Candidate considerations |
| Local competition | Not included in the score |
| Hiring and staffing conditions | +0.10 |
| Driving, routing, and parking | Not included in the score |
| Finding and operating the right location | Not included in the score |
| Winning new customers | Not included in the score |
| Referral channels | Candidate considerations |
| Territory conditions | Not included in the score |
| Local rules and operating requirements | -0.10 |
| Full-precision calculated score | 70.206 |
| Published local fit | 70.21 |
Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Strong
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- High evidence confidence
- Largest absolute effect
- Customer demand +0.21 pts
- Tested rank range
- #3β#11
FASTSIGNS
Initial investment: $231,226β$386,285
Rank sensitivity: Highly sensitive
View full franchise scores
2 advantages and 1 constraint used to calculate the score for FASTSIGNS.
Hiring and staffing conditions
| Scored local driver | Effect | Evidence |
|---|---|---|
| $25.13/hour all-occupations mean wage vs. $32.66/hour nationallyLargest driverRelationship test: Rank stays #4 without this driver. | +0.18 pts | HighSource |
Local rules and operating requirements
| Scored local driver | Effect | Evidence |
|---|---|---|
| General operating challenge | -0.10 pts | Moderate |
Customer demand
| Scored local driver | Effect | Evidence |
|---|---|---|
| Renter-occupied housing: 44.9% | +0.10 pts | HighSource |
Franchise evidence
Source material assessed
See the full calculation
Audit layer
Full factor ledger
Full score ledger
| Neutral model baseline | 70.00 |
|---|---|
| Customer demand | +0.10 |
| Repair and replacement demand | Candidate considerations |
| Local competition | Not included in the score |
| Hiring and staffing conditions | +0.18 |
| Driving, routing, and parking | Not included in the score |
| Finding and operating the right location | Not included in the score |
| Winning new customers | Not included in the score |
| Referral channels | Candidate considerations |
| Territory conditions | Not included in the score |
| Local rules and operating requirements | -0.10 |
| Full-precision calculated score | 70.177 |
| Published local fit | 70.18 |
Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Strong
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- High evidence confidence
- Largest absolute effect
- Hiring and staffing conditions +0.18 pts
- Tested rank range
- #4β#9
Aire Serv
Initial investment: $113,308β$271,708
Rank sensitivity: Highly sensitive
View full franchise scores
3 advantages and 1 constraint used to calculate the score for Aire Serv.
Customer demand
Hiring and staffing conditions
| Scored local driver | Effect | Evidence |
|---|---|---|
| $25.13/hour all-occupations mean wage vs. $32.66/hour nationally | +0.41 pts | HighSource |
Franchise evidence
Source material assessed
See the full calculation
Audit layer
Full factor ledger
Full score ledger
| Neutral model baseline | 70.00 |
|---|---|
| Customer demand | -0.27 |
| Repair and replacement demand | Candidate considerations |
| Local competition | Not included in the score |
| Hiring and staffing conditions | +0.41 |
| Driving, routing, and parking | Not included in the score |
| Finding and operating the right location | Not included in the score |
| Winning new customers | Not included in the score |
| Referral channels | Candidate considerations |
| Territory conditions | Not included in the score |
| Local rules and operating requirements | Not applicable to this operating model |
| Full-precision calculated score | 70.137 |
| Published local fit | 70.14 |
Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Strong
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- High evidence confidence
- Largest absolute effect
- Hiring and staffing conditions +0.41 pts
- Tested rank range
- #1β#10
ZOOM DRAIN
Initial investment: $266,250β$570,500
Rank sensitivity: Highly sensitive
View full franchise scores
3 advantages and 1 constraint used to calculate the score for ZOOM DRAIN.
Customer demand
Hiring and staffing conditions
| Scored local driver | Effect | Evidence |
|---|---|---|
| $25.13/hour all-occupations mean wage vs. $32.66/hour nationally | +0.40 pts | HighSource |
Applicability depends on the selected submarket
Franchise evidence
FDD screenshots
See the full calculation
Audit layer
Full factor ledger
Full score ledger
| Neutral model baseline | 70.00 |
|---|---|
| Customer demand | -0.27 |
| Repair and replacement demand | Candidate considerations |
| Local competition | Not included in the score |
| Hiring and staffing conditions | +0.40 |
| Driving, routing, and parking | Not included in the score |
| Finding and operating the right location | Not included in the score |
| Winning new customers | Not included in the score |
| Referral channels | Candidate considerations |
| Territory conditions | Not included in the score |
| Local rules and operating requirements | Not applicable to this operating model |
| Full-precision calculated score | 70.131 |
| Published local fit | 70.13 |
Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Strong
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- High evidence confidence
- Largest absolute effect
- Hiring and staffing conditions +0.40 pts
- Tested rank range
- #3β#7
HomeSmiles
Initial investment: $148,110β$201,800
Rank sensitivity: Moderately sensitive
View full franchise scores
3 advantages and 1 constraint used to calculate the score for HomeSmiles.
Customer demand
Hiring and staffing conditions
| Scored local driver | Effect | Evidence |
|---|---|---|
| $25.13/hour all-occupations mean wage vs. $32.66/hour nationally | +0.32 pts | HighSource |
Franchise evidence
FDD screenshots
See the full calculation
Audit layer
Full factor ledger
Full score ledger
| Neutral model baseline | 70.00 |
|---|---|
| Customer demand | -0.25 |
| Repair and replacement demand | Candidate considerations |
| Local competition | Not included in the score |
| Hiring and staffing conditions | +0.32 |
| Driving, routing, and parking | Not included in the score |
| Finding and operating the right location | Not included in the score |
| Winning new customers | Not included in the score |
| Referral channels | Candidate considerations |
| Territory conditions | Not included in the score |
| Local rules and operating requirements | Not applicable to this operating model |
| Full-precision calculated score | 70.068 |
| Published local fit | 70.07 |
Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Strong
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- High evidence confidence
- Largest absolute effect
- Hiring and staffing conditions +0.32 pts
- Tested rank range
- #5β#7
Mr. Rooter
Initial investment: $152,900β$298,675
Rank sensitivity: Highly sensitive
View full franchise scores
2 advantages and 1 constraint used to calculate the score for Mr. Rooter.
Customer demand
Hiring and staffing conditions
| Scored local driver | Effect | Evidence |
|---|---|---|
| $25.13/hour all-occupations mean wage vs. $32.66/hour nationally | +0.40 pts | HighSource |
Franchise evidence
FDD screenshots
See the full calculation
Audit layer
Full factor ledger
Full score ledger
| Neutral model baseline | 70.00 |
|---|---|
| Customer demand | -0.33 |
| Repair and replacement demand | Candidate considerations |
| Local competition | Not included in the score |
| Hiring and staffing conditions | +0.40 |
| Driving, routing, and parking | Not included in the score |
| Finding and operating the right location | Not included in the score |
| Winning new customers | Not included in the score |
| Referral channels | Candidate considerations |
| Territory conditions | Not included in the score |
| Local rules and operating requirements | Not applicable to this operating model |
| Full-precision calculated score | 70.066 |
| Published local fit | 70.07 |
Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Strong
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- High evidence confidence
- Largest absolute effect
- Hiring and staffing conditions +0.40 pts
- Tested rank range
- #2β#11
PuroClean
Initial investment: $54,575β$262,145
Rank sensitivity: Moderately sensitive
View full franchise scores
2 advantages and 1 constraint used to calculate the score for PuroClean.
Customer demand
Hiring and staffing conditions
| Scored local driver | Effect | Evidence |
|---|---|---|
| $25.13/hour all-occupations mean wage vs. $32.66/hour nationally | +0.27 pts | HighSource |
Applicability depends on the selected submarket
Franchise evidence
FDD screenshots
See the full calculation
Audit layer
Full factor ledger
Full score ledger
| Neutral model baseline | 70.00 |
|---|---|
| Customer demand | -0.27 |
| Repair and replacement demand | Candidate considerations |
| Local competition | Not included in the score |
| Hiring and staffing conditions | +0.27 |
| Driving, routing, and parking | Not included in the score |
| Finding and operating the right location | Not included in the score |
| Winning new customers | Not included in the score |
| Referral channels | Candidate considerations |
| Territory conditions | Not included in the score |
| Local rules and operating requirements | Not applicable to this operating model |
| Full-precision calculated score | 70.006 |
| Published local fit | 70.01 |
Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Strong
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- High evidence confidence
- Largest absolute effect
- Hiring and staffing conditions +0.27 pts
- Tested rank range
- #7β#9
Rainbow International Restoration
Initial investment: $185,336β$351,900
Rank sensitivity: Moderately sensitive
View full franchise scores
2 advantages and 1 constraint used to calculate the score for Rainbow International Restoration.
Customer demand
Hiring and staffing conditions
| Scored local driver | Effect | Evidence |
|---|---|---|
| $25.13/hour all-occupations mean wage vs. $32.66/hour nationally | +0.27 pts | HighSource |
Applicability depends on the selected submarket
Franchise evidence
FDD screenshots
See the full calculation
Audit layer
Full factor ledger
Full score ledger
| Neutral model baseline | 70.00 |
|---|---|
| Customer demand | -0.27 |
| Repair and replacement demand | Candidate considerations |
| Local competition | Not included in the score |
| Hiring and staffing conditions | +0.27 |
| Driving, routing, and parking | Not included in the score |
| Finding and operating the right location | Not included in the score |
| Winning new customers | Not included in the score |
| Referral channels | Candidate considerations |
| Territory conditions | Not included in the score |
| Local rules and operating requirements | Not applicable to this operating model |
| Full-precision calculated score | 70.006 |
| Published local fit | 70.01 |
Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Strong
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- High evidence confidence
- Largest absolute effect
- Hiring and staffing conditions +0.27 pts
- Tested rank range
- #8β#10
Mister Sparky Electric
Rank sensitivity: Highly sensitive
View full franchise scores
2 advantages and 1 constraint used to calculate the score for Mister Sparky Electric.
Customer demand
Hiring and staffing conditions
| Scored local driver | Effect | Evidence |
|---|---|---|
| $25.13/hour all-occupations mean wage vs. $32.66/hour nationally | +0.34 pts | HighSource |
See the full calculation
Audit layer
Full factor ledger
Full score ledger
| Neutral model baseline | 70.00 |
|---|---|
| Customer demand | -0.43 |
| Repair and replacement demand | Candidate considerations |
| Local competition | Not included in the score |
| Hiring and staffing conditions | +0.34 |
| Driving, routing, and parking | Not included in the score |
| Finding and operating the right location | Not included in the score |
| Winning new customers | Not included in the score |
| Referral channels | Candidate considerations |
| Territory conditions | Not included in the score |
| Local rules and operating requirements | Not applicable to this operating model |
| Full-precision calculated score | 69.911 |
| Published local fit | 69.91 |
Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Strong
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- High evidence confidence
- Largest absolute effect
- Customer demand -0.43 pts
- Tested rank range
- #4β#13
ActionCOACH
Initial investment: $71,668β$303,513
Rank sensitivity: Highly sensitive
View full franchise scores
0 advantages and 1 constraint used to calculate the score for ActionCOACH.
Local rules and operating requirements
| Scored local driver | Effect | Evidence |
|---|---|---|
| General operating challengeLargest driverRelationship test: Rank stays #12 without this driver. | -0.10 pts | Moderate |
Franchise evidence
FDD screenshots
See the full calculation
Audit layer
Full factor ledger
Full score ledger
| Neutral model baseline | 70.00 |
|---|---|
| Customer demand | Not applicable to this operating model |
| Repair and replacement demand | Candidate considerations |
| Local competition | Not included in the score |
| Hiring and staffing conditions | Not applicable to this operating model |
| Driving, routing, and parking | Not included in the score |
| Finding and operating the right location | Not included in the score |
| Winning new customers | Not included in the score |
| Referral channels | Candidate considerations |
| Territory conditions | Not included in the score |
| Local rules and operating requirements | -0.10 |
| Full-precision calculated score | 69.900 |
| Published local fit | 69.90 |
Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Strong
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- High evidence confidence
- Largest absolute effect
- Local rules and operating requirements -0.10 pts
- Tested rank range
- #5β#13
Tiger Adjusters
Initial investment: $43,050β$159,500
Rank sensitivity: Moderately sensitive
View full franchise scores
2 advantages and 1 constraint used to calculate the score for Tiger Adjusters. 1 additional scored adjustment is below the display threshold and contributes +0.047 points to the total.
Customer demand
Hiring and staffing conditions
| Scored local driver | Effect | Evidence |
|---|---|---|
| $25.13/hour all-occupations mean wage vs. $32.66/hour nationally | +0.15 pts | HighSource |
Applicability depends on the selected submarket
Franchise evidence
Source material assessed
See the full calculation
Audit layer
Full factor ledger
Full score ledger
| Neutral model baseline | 70.00 |
|---|---|
| Customer demand | -0.35 |
| Repair and replacement demand | Candidate considerations |
| Local competition | Not included in the score |
| Hiring and staffing conditions | +0.15 |
| Driving, routing, and parking | Not included in the score |
| Finding and operating the right location | Not included in the score |
| Winning new customers | Not included in the score |
| Referral channels | Candidate considerations |
| Territory conditions | Not included in the score |
| Local rules and operating requirements | Not applicable to this operating model |
| Full-precision calculated score | 69.800 |
| Published local fit | 69.80 |
Factor calculations use full precision. Contributions and published scores are displayed to two decimal places; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Strong
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- High evidence confidence
- Largest absolute effect
- Customer demand -0.35 pts
- Tested rank range
- #10β#13
No franchise concepts match the selected filters.
Factor categories with the highest impact
Which local conditions had the biggest impact?
We removed one factor category at a time, recalculated everything, and measured movements.
Customer demand
We tested how much of the cityβs potential customer and business demand remained after accounting for operating challenges.
Why concepts react differently
We modeled a measurable customer demand impact on 12 of the 13 franchises in Gulfport. One underlying observation: 17.7% of Gulfport residents had moved within the previous year in the 2020β2024 estimates. [1] [2] Removing the entire customer demand category changed 13 positions. Workout Anytime moved from #2 to #12, the largest rank change among franchises directly affected by this category.
What we observed
- Population Change Since 20202.3%
- Owner Occupied Housing Share55.1%
- Renter Occupied Housing Share44.9%
Concepts helped most
Concepts challenged most
Hiring and staffing conditions
We compared each conceptβs frontline and specialist staffing requirements with the local labor environment.
Why concepts react differently
We modeled a measurable hiring and staffing conditions impact on 12 of the 13 franchises in Gulfport. One underlying observation: The mean wage across all occupations in the Gulfport-Biloxi, MS Metropolitan Statistical Area was $25.13/hour in May 2024, compared with $32.66/hour nationally. [3] Removing the entire hiring and staffing conditions category changed 8 positions. Aire Serv moved from #5 to #10, the largest rank change among franchises directly affected by this category.
What we observed
- Mean Hourly Wage Across All Occupations$25.13/hour
- Food Preparation/serving Mean Hourly Wage$13.28/hour
- Construction/extraction Mean Hourly Wage$26.57/hour
Concepts helped most
Local rules and operating requirements
We separated regulations that create operating burdens from those that may create demand for qualified compliance and retrofit services.
Why concepts react differently
We modeled a measurable local rules and operating requirements impact on 4 of the 13 franchises in Gulfport. Removing the entire local rules and operating requirements category did not change the ranking order.
Concepts challenged most
- Repair and replacement demandNo material score adjustment
- Local competitionNo material score adjustment
- Driving, routing, and parkingNo material score adjustment
- Finding and operating the right locationNo material score adjustment
- Winning new customersNo material score adjustment
- Referral channelsNo material score adjustment
- Territory conditionsNo material score adjustment
Rank stability
Which positions depend most on individual assumptions?
Pillar To Post Home Inspectors ranged from #1 to #6 across the recorded factor-category removal tests. Removing the customer demand factor produced the #6 result, 5 positions below its baseline rank of #1.
Neutralizing a factor category removes it from every franchiseβs calculation. Franchise-specific weighting helps explain differences in its impact.
Net factor impact
Net factor category totals across the listed brands
Within customer demand, Pillar To Post Home Inspectors received +0.84 points from positive adjustments and -0.53 points from negative adjustments, for a net effect of +0.31 points.
View the chart data as a table
| Concept | Customer demand | Hiring and staffing conditions | Local rules and operating requirements |
|---|---|---|---|
| #1 Pillar To Post Home Inspectors | +0.31 pts | +0.29 pts | β |
| #2 Workout Anytime | +0.36 pts | +0.15 pts | -0.23 pts |
| #3 City Wide Facility Solutions | +0.21 pts | +0.10 pts | -0.10 pts |
| #4 FASTSIGNS | +0.10 pts | +0.18 pts | -0.10 pts |
| #5 Aire Serv | -0.27 pts | +0.41 pts | β |
| #6 ZOOM DRAIN | -0.27 pts | +0.40 pts | β |
| #7 HomeSmiles | -0.25 pts | +0.32 pts | β |
| #8 Mr. Rooter | -0.33 pts | +0.40 pts | β |
| #9 PuroClean | -0.27 pts | +0.27 pts | β |
| #10 Rainbow International Restoration | -0.27 pts | +0.27 pts | β |
| #11 Mister Sparky Electric | -0.43 pts | +0.34 pts | β |
| #12 ActionCOACH | β | β | -0.10 pts |
| #13 Tiger Adjusters | -0.35 pts | +0.15 pts | β |
Results
How to interpret the result
Pillar To Post Home Inspectors, Workout Anytime, City Wide Facility Solutions led because their operating requirements captured more of the local support from hiring and staffing conditions while remaining less exposed to customer demand. The same factor can help one franchise model and be a disadvantage to another. Scores should be interpreted through each concept's assumptions rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for Pillar To Post Home Inspectors, Workout Anytime, City Wide Facility Solutions; their ranks move more widely when individual factors are neutralized.
Local evidence assessed for modeling
Category comparisons
Best franchise categories we assessed in Gulfport, Mississippi
Summaries require at least 2 concepts in the same category for inclusion.
Limited comparison: Plumbing & Drain Services franchise opportunities assessed in Gulfport, Mississippi
2 Plumbing & Drain Services franchises qualified for comparison, with scores ranging from 70.07 to 70.13. ZOOM DRAIN ranked highest at 70.13. Hiring and staffing conditions added 0.40 points on average across the included franchises. Customer demand reduced scores across the included franchises by 0.30 points on average.
Interpret diligently: A 0.07-point spread is too small to support an unquestionable brand-level conclusion.
- Concepts compared
- 2
- Score range
- 70.07β70.13
- Category average
- 70.10
Limited comparison: Property Restoration franchise opportunities assessed in Gulfport, Mississippi
2 Property Restoration franchises qualified for comparison, with scores ranging from 70.01 to 70.01. PuroClean ranked highest at 70.01. Hiring and staffing conditions added 0.27 points on average across the included franchises. Customer demand reduced scores across the included franchises by 0.27 points on average.
Interpret diligently: A 0.00-point spread is too small to support an unquestionable brand-level conclusion.
- Concepts compared
- 2
- Score range
- 70.01β70.01
- Category average
- 70.01
Metric registry
The 24 metrics behind this study
View all local metrics
| Metric | Raw value | Period | Geography | Role in analysis | Source |
|---|---|---|---|---|---|
| Population estimate | 74.6 thousand persons | 2024 | Gulfport, Mississippi | Context only | [1] |
| Population change since 2020 | 2.3% | 2020 base to 2024 estimate | Gulfport, Mississippi | Used in scoring | [1] [2] |
| Population density | 1,310.9 people per square mile | 2020 | Gulfport, Mississippi | Context only | [1] |
| Household count | 29,287 households | 2020-2024 | Gulfport, Mississippi | Context only | [1] |
| Owner-occupied housing share | 55.1% | 2020-2024 | Gulfport, Mississippi | Used in scoring | [1] [2] |
| Renter-occupied housing share | 44.9% | 2020-2024 | Gulfport, Mississippi | Used in scoring | [1] [2] |
| Median owner-occupied home value | $174,600 | 2020-2024 | Gulfport, Mississippi | Context only | [1] [2] |
| Median household income | $49,919 | 2020-2024 | Gulfport, Mississippi | Supports modeled relationship | [1] [2] |
| Poverty share | 22.8% | 2020-2024 | Gulfport, Mississippi | Supports modeled relationship | [1] [2] |
| Recent-mover share | 17.7% | 2020-2024 | Gulfport, Mississippi | Used in scoring | [1] [2] |
| Under-65 disability share | 18% | 2020-2024 | Gulfport, Mississippi | Supports modeled relationship | [1] [2] |
| Labor-force participation | 56.9% | 2020-2024 | Gulfport, Mississippi | Context only | [1] [2] |
| Retail sales per capita | $35,058 | 2022 | Gulfport, Mississippi | Used in scoring | [1] [2] |
| Accommodation and food services sales | $603.5 million | 2022 | Gulfport, Mississippi | Context only | [1] |
| Health care and social assistance receipts | $948.5 million | 2022 | Gulfport, Mississippi | Supports modeled relationship | [1] |
| Transportation and warehousing receipts | $201.6 million | 2022 | Gulfport, Mississippi | Used in scoring | [1] |
| Mean travel time to work | 21.9 minutes | 2020-2024 | Gulfport, Mississippi | Context only | [1] [2] |
| Mean hourly wage across all occupations | $25.13/hour | May 2024 | Gulfport-Biloxi, MS Metropolitan Statistical Area | Used in scoring | [3] |
| Food preparation/serving mean hourly wage | $13.28/hour | May 2024 | Gulfport-Biloxi, MS Metropolitan Statistical Area | Used in scoring | [3] |
| Construction/extraction mean hourly wage | $26.57/hour | May 2024 | Gulfport-Biloxi, MS Metropolitan Statistical Area | Used in scoring | [3] |
| Installation/maintenance/repair mean hourly wage | $26.53/hour | May 2024 | Gulfport-Biloxi, MS Metropolitan Statistical Area | Used in scoring | [3] |
| Office/admin support mean hourly wage | $20.02/hour | May 2024 | Gulfport-Biloxi, MS Metropolitan Statistical Area | Used in scoring | [3] |
| Annual airport passengers | 868,419 passengers | 2025 | GulfportβBiloxi International Airport | Supports modeled relationship | [6] |
| Applicable statutory minimum wage floor | $7.25/hour federal floor for FLSA-covered employers; Mississippi has no state minimum wage law | effective 2026-07-01 | Mississippi | Context only | [13] |
How to use the study
Study limitations
- We modeled local fit, not financial performance.
- Candidate-specific considerations are required, particularly for franchises requiring a physical presence.
Methodology
How the franchise scores are calculated
Assess city conditions
We reviewed local measures that could affect franchise operations and recorded their sources, geographic scope and evidence quality.
Model the operating assumptions
The mean wage across all occupations in the Gulfport-Biloxi, MS Metropolitan Statistical Area was $25.13/hour in May 2024, compared with $32.66/hour nationally. The general labor-cost effect contributed +0.29 points to Pillar To Post Home Inspectors and +0.15 to Workout Anytime, a 0.14-point difference from the same local input. [3]
Apply modeled effects
Apply fully supported relationships at full weight and otherwise scoreable research- or taxonomy-gated relationships at a reduced provisional weight.
Highlight candidate-dependent effects
Keep candidate-specific effects outside the baseline score.
Test rank sensitivity
Remove one factor category at a time from every franchise and recalculate scores and rankings.
Generate output
Generate the data displayed on this page.
How we start out from a baseline
Every concept starts out with 70.00 points, so score differences come only from modeled local impact. In Gulfport, Pillar To Post Home Inspectors reached 70.601. Customer demand netted to +0.31 points after 17.7% recent-mover share was partly offset by owner-occupied housing: 55.1%. [1] [2] Hiring and staffing conditions totaled +0.29 points, led by $25.13/hour all-occupations mean wage vs. $32.66/hour nationally at +0.29 points. [3]
Calculation controls
The current model caps total local movement at Β±18.00 points. The score is not a percentage, probability, or estimate of investment quality.
relationship_max_effect Γ city_condition_strength Γ operating_exposure Γ confidence_multiplier Γ provenance_multiplier Γ geographic_applicability Γ profile_effect_multiplier Γ eligibility_multiplier, followed by channel/modifier/correlation/family/factor/total controls
Score calibration
How relationship effects become score adjustments
Each factor starts with its maximum allowed effect. The city-specific weights and the franchise's attribute weighting determine the initial impact. Evidence confidence, provenance and other factors can impose multiplier effects. Fully supported factors are assigned full eligibility weight. Broadly applicable factors awaiting research or taxonomy review use an additional 0.80 eligibility multiplier. Candidate-specific factors remain outside the baseline score until the relevant choices are confirmed and the model is rerun. Correlation controls and score caps can reduce the final impact.
The model does not use one universal Minor/Moderate/Strong point table. Relationship-specific max_effect values are the actual point ceilings, so publishing generic point bands would misstate the scoring system.
How factor rows are classified
Model governance
How this report is calculated and corrected
Calculation controls
- Model designer
- Thomas Jepsen
No franchise score is manually raised or lowered after calculation.
Model history
Study updates are versioned and dated to show development and assumptions used in calculations.
Corrections policy
Corrections to source, geography or operating-profile evidence trigger a full compiler rerun so every dependent score is recalculated.
Source registry
External sources linked
- 1QuickFacts: Gulfport city, Mississippi
Used for: Population estimate, Population change since 2020, Population density, Household count, and Owner-occupied housing share
- 2QuickFacts: Mississippi
Used for: Population change since 2020, Owner-occupied housing share, Renter-occupied housing share, Median owner-occupied home value, and Median household income
- 3Occupational Employment and Wages in Gulfport-Biloxi, MS β May 2024
Used for: Mean hourly wage across all occupations, Food preparation/serving mean hourly wage, Construction/extraction mean hourly wage, Installation/maintenance/repair mean hourly wage, and Office/admin support mean hourly wage
- 4
- 5
- 6Statistics and Financials
Used for: Annual airport passengers
- 7
- 8
- 9
- 10
- 11
- 12
- 13State Minimum Wage Laws
Used for: Applicable statutory minimum wage floor
- 14
- 15
- 16
- 17
- 18
- 19
Apply the analysis to your situation





































































