This report presents findings from the 2026 MetroList® Services Broker-MLS Market Intelligence Survey, conducted by T3 Sixty. Scores are calculated on a 1.0–4.0 scale and rated using T3 Sixty’s national benchmarking thresholds. Overall composite score: 3.31 (Superior), n = 204 respondents.
MetroList® Services achieved an Overall Composite Score of 3.31 out of 4.00, earning a Superior rating in the 2026 T3 Sixty Broker–MLS Market Intelligence Benchmarking Survey. This result reflects strong broker confidence in MetroList's core value proposition — particularly its data quality and support services — while identifying technology modernization and partnership engagement as the clearest opportunities for improvement. The 204 responses collected represent a broad cross-section of the MetroList broker community, predominantly independent brokerages and broker-owners across the Northern California Central Valley. Three of the five scoring categories — Satisfaction and Value, Support and Services and Data — registered Superior scores, underscoring MetroList's foundational strength as an MLS. Category 4 (Technology) and Category 5 (Partnership and Trust) both scored in the Good range, signaling that while brokers view MetroList as a reliable and important partner, they are looking for a more modern user experience and a stronger voice in how the MLS evolves. The survey also surfaced meaningful broker perspectives on strategic questions around data governance, marketplace models and geographic expansion that will inform MetroList's planning conversations in the year ahead.
Scores across all five rated categories of the 2026 survey. 1–4 scale.
| Performance Category | T3 Score | T3 Rating | Score (1.0—4.0 scale) |
|---|---|---|---|
| 1. Satisfaction and Value | 3.45 | Superior | 1.02.03.04.0 |
| 2. Support and Services | 3.37 | Superior | 1.02.03.04.0 |
| 3. Data | 3.42 | Superior | 1.02.03.04.0 |
| 4. Technology | 3.17 | Good | 1.02.03.04.0 |
| 5. Partnership and Trust | 3.13 | Good | 1.02.03.04.0 |
| 1. Satisfaction and Value | 3.45 | |
| Overall MLS Performance Satisfaction | 3.27 | |
| Business Importance to Members | 3.64 |
| 2. Support and Services | 3.37 | |
| Overall Support & Services Satisfaction | 3.45 | |
| MLS Communications | 3.38 | |
| Agent Support & Training | 3.32 | |
| Broker Support & Training | 3.27 | |
| Compliance & Rules Enforcement | 3.18 | |
| Q5 Component Average | 3.29 |
| 3. Data | 3.42 | |
| Overall Data Satisfaction | 3.43 | |
| Accuracy & Reliability | 3.47 | |
| Enables Agents with Data | 3.42 | |
| Accessible & Usable | 3.37 | |
| Q6 Component Average | 3.42 |
| 4. Technology | 3.17 | |
| Overall Technology Satisfaction | 3.14 | |
| Reliable Platform | 3.16 | |
| Enables Agents | 3.19 | |
| Accessible & Usable | 3.22 | |
| Q7 Component Average | 3.19 |
| 5. Partnership and Trust | 3.13 | |
| Partnership Statements (avg) | 3.11 | |
| MLS as Partner in Brokerage Success | 3.38 | |
| Trust in MLS Decision-Making | 3.03 | |
| Input & Representation Opportunities | 2.93 | |
| Data Governance Confidence | 3.13 | |
| Technology Confidence | 3.13 | |
| Governance Statements (avg) | 3.13 | |
| Data Benefit to Brokers | 3.23 | |
| Transparent about Data Sharing | 3.13 | |
| Long-term Decisions Align w/ Broker Interests | 3.11 |
All survey questions are scored on a weighted 1–4 scale. Category scores are calculated as the average of their contributing question and component scores. T3 Sixty assigns performance ratings based on score thresholds established across the national broker survey program.
| Performance Category | Contributing Questions | Score Calculation |
|---|---|---|
| 1. Satisfaction and Value | Q2, Q3 | Average of Q2 (Overall MLS Performance Satisfaction) and Q3 (Business Importance to Members). |
| 2. Support and Services | Q5 | Average of Q5 Overall score and the mean of Q5 component scores(Broker Support & Training · Agent Support & Training · Compliance & Rules Enforcement · MLS Communications) |
| 3. Data | Q6 | Average of Q6 Overall score and the mean of Q6 component scores(Accuracy & Reliability · Enables Agents with Data · Accessible & Usable) |
| 4. Technology | Q7 | Average of Q7 Overall score and the mean of Q7 component scores(Reliable Platform · Enables Agents · Accessible & Usable) |
| 5. Partnership and Trust | Q8, Q9, Q10, Q11 | Average of Q8 Partnership Statements mean + Q9 (Data Governance Confidence) + Q10 (Technology Confidence) + Q11 Governance Statements mean.Q8: MLS as Partner · Trust in Decision-Making · Input & Representation · Q11: Manages Data Responsibly · Operations are Transparent |
| Overall Composite Score | All categories | Simple average of all five category scores (Categories 1–5 weighted equally). |
The comparables table displays MetroList® Services’s 2026 scores alongside benchmark placeholders. T3 Sixty national broker benchmarks will be populated as additional MLSs complete the survey program.
| Category | 2026 Score | 2026 Rating | T3 Benchmark Comparable | T3 Benchmark Score | T3 Benchmark Rating |
|---|---|---|---|---|---|
| Overall | 3.31 | Superior | Building | Building | Building |
| 1. Satisfaction and Value | 3.45 | Superior | Building | Building | Building |
| 2. Support and Services | 3.37 | Superior | Building | Building | Building |
| 3. Data | 3.42 | Superior | Building | Building | Building |
| 4. Technology | 3.17 | Good | Building | Building | Building |
| 5. Partnership and Trust | 3.13 | Good | Building | Building | Building |
T3 and Local Benchmark Coding (applied when comparables data is available):
| TP | Top Performer | Highest T3 scoring benchmark |
| EX | Excelling | 0.05+ above T3 benchmark |
| COM | Competitive | Within 0.04 above/below T3 benchmark |
| IO | Improvement Opportunity | 0.05+ below T3 benchmark |
| EX | Excelling | 0.05+ above the MLS’s scoring benchmark |
| COM | Competitive | Within 0.04 above/below the MLS’s benchmark |
| IO | Improvement Opportunity | 0.05+ below the MLS’s scoring benchmark |
| 2026 Score | 2026 Rating | T3 Broker Benchmark | T3 Benchmark Rating |
|---|---|---|---|
| 3.27 | Superior | Building | — |
Benchmark Note: Benchmark data is currently in the building phase; comparative norms will be reported beginning in Year 2 of the program.
| Score Breakdown by Respondent Demographics: Overall MLS Performance Satisfaction | ||||
| Cohort | Segment | T3 Score | T3 Rating | Comp |
| Brokerage Type | Independent Brokerage | 3.31 | Superior | COM |
| Franchisee Office | 3.12 | Good | IO | |
| Regional Brokerage Group | 3.00 | Good | IO | |
| National Brokerage Brand/Franchisor | 2.71 | Average | IO | |
| Broker Role | Broker-Owner | 3.36 | Superior | EX |
| Broker-Manager | 3.00 | Good | IO | |
| Broker-Sales Person | 3.07 | Good | IO | |
| No. of MLSs | One | 3.49 | Superior | EX |
| Two | 3.06 | Good | IO | |
| Three or more | 2.97 | Average | IO | |
| Brokerage Size | None-Just Myself | 3.60 | Exceptional | EX |
| 1–24 | 3.24 | Good | COM | |
| 25–99 | 3.11 | Good | IO | |
| 100–199 | 3.00 | Good | IO | |
| 200-499 | 2.25 | Deficient | IO | |
| 500–999 | 4.00 | Exceptional | EX | |
| 1,000 or more | 2.00 | Deficient | IO | |
Cohort: EX = Excelling (0.05+ above overall 3.27) · COM = Competitive (within 0.04) · IO = Improvement Opportunity (0.05+ below)
MetroList earned a Superior overall satisfaction score of 3.27 on the 4-point scale, with 87 percent of respondents indicating they were Very Satisfied or Satisfied with MLS performance. This is a strong result that reflects a broad base of broker goodwill. The qualitative responses reveal a picture of an MLS that is genuinely valued by its members — particularly for its data coverage, geographic reach and accessible staff — while also facing real pressure to modernize its platform and simplify the user experience. Frustrations were most commonly directed at the mobile app, search complexity, and a sense that the platform has become more cumbersome with successive enhancements rather than simpler.
| 2026 Score | 2026 Rating | T3 Broker Benchmark | T3 Benchmark Rating |
|---|---|---|---|
| 3.64 | Exceptional | Building | — |
Benchmark Note: Benchmark data is currently in the building phase; comparative norms will be reported beginning in Year 2 of the program.
| Score Breakdown by Respondent Demographics: Business Importance to Members | ||||
| Cohort | Segment | T3 Score | T3 Rating | Comp |
| Brokerage Type | Independent Brokerage | 3.64 | Exceptional | COM |
| Franchisee Office | 3.50 | Exceptional | IO | |
| Regional Brokerage Group | 3.75 | Exceptional | EX | |
| National Brokerage Brand/Franchisor | 3.57 | Exceptional | IO | |
| Broker Role | Broker-Owner | 3.64 | Exceptional | COM |
| Broker-Manager | 3.29 | Superior | IO | |
| Broker-Sales Person | 3.73 | Exceptional | EX | |
| No. of MLSs | One | 3.80 | Exceptional | EX |
| Two | 3.38 | Superior | IO | |
| Three or more | 3.47 | Superior | IO | |
| Brokerage Size | None-Just Myself | 3.70 | Exceptional | EX |
| 1–24 | 3.68 | Exceptional | COM | |
| 25–99 | 3.44 | Superior | IO | |
| 100–199 | 3.25 | Superior | IO | |
| 200-499 | 3.00 | Good | IO | |
| 500–999 | 3.50 | Exceptional | IO | |
| 1,000 or more | 3.67 | Exceptional | COM | |
Cohort: EX = Excelling (0.05+ above overall 3.64) · COM = Competitive (within 0.04) · IO = Improvement Opportunity (0.05+ below)
Business importance scored at an Exceptional 3.64 — the highest individual question score in the report. Virtually all broker respondents view the MLS as either Very Important or Important to their brokerage's success. This near-universal reliance is a significant asset for MetroList: it reinforces the cooperative's central role in the regional real estate ecosystem and establishes a strong foundation for strategic investment. At the same time, a handful of respondents noted that rising competition from consumer portals and changes to commission structures have begun to erode the MLS's perceived indispensability at the margins.
Brokers see MetroList through a multi-dimensional lens: 49 percent describe it primarily as a technology platform, 43 percent as a broker cooperative platform and 40 percent as a service organization and business resource. 6 percent indicated the value proposition was unclear. The fact that all three primary value descriptors received strong selection rates suggests that MetroList has built a genuinely broad-based value case — but also that there is no single, dominant narrative in how brokers perceive the organization. This diversity of perception is both an asset and a communication opportunity.
| Component | Score | Rating | Score | Rating |
|---|---|---|---|---|
| T3 Benchmark | ||||
| Category Score (Satisfaction + Components) | 3.37 | Superior | Building | — |
| Overall Satisfaction | 3.45 | Superior | Building | — |
| MLS Communications | 3.38 | Superior | Building | — |
| Agent Support and Agent-Focused Training | 3.32 | Superior | Building | — |
| Broker Support and Broker-Focused Training | 3.27 | Superior | Building | — |
| Compliance and Rules Enforcement | 3.18 | Good | Building | — |
| Component Average | 3.29 | Superior | Building | — |
Benchmark Note: Benchmark data is currently in the building phase; comparative norms will be reported beginning in Year 2 of the program.
| Score Breakdown by Respondent Demographics: Support and Services Satisfaction | ||||
| Cohort | Segment | T3 Score | T3 Rating | Comp |
| Brokerage Type | Independent Brokerage | 3.47 | Superior | COM |
| Franchisee Office | 3.38 | Superior | IO | |
| Regional Brokerage Group | 3.00 | Good | IO | |
| National Brokerage Brand/Franchisor | 3.43 | Superior | COM | |
| Broker Role | Broker-Owner | 3.48 | Superior | COM |
| Broker-Manager | 3.14 | Good | IO | |
| Broker-Sales Person | 3.50 | Exceptional | COM | |
| No. of MLSs | One | 3.52 | Exceptional | EX |
| Two | 3.47 | Superior | COM | |
| Three or more | 3.32 | Superior | IO | |
| Brokerage Size | None-Just Myself | 3.61 | Exceptional | EX |
| 1–24 | 3.42 | Superior | COM | |
| 25–99 | 3.50 | Exceptional | COM | |
| 100–199 | 3.25 | Superior | IO | |
| 200-499 | 2.50 | Average | IO | |
| 500–999 | 4.00 | Exceptional | EX | |
| 1,000 or more | 3.67 | Exceptional | EX | |
Cohort: EX = Excelling (0.05+ above overall 3.45) · COM = Competitive (within 0.04) · IO = Improvement Opportunity (0.05+ below)
Support and Services produced a category composite score of 3.37 (Superior), with overall support satisfaction at 3.45 and 93 percent of respondents expressing satisfaction. MLS communications scored highest among components (3.38), followed by agent support (3.32), broker support (3.27) and compliance enforcement (3.18). The positive results here reflect MetroList's genuine investment in human-centered service — brokers appreciate being able to reach a live person and receiving responsive support. However, compliance enforcement was the lowest-rated component, and qualitative responses suggest that the compliance experience is a meaningful source of broker frustration — particularly around perceived inconsistency and the use of member-reported violations rather than proactive enforcement.
| Component | Score | Rating | Score | Rating |
|---|---|---|---|---|
| T3 Benchmark | ||||
| Category Score (Satisfaction + Components) | 3.42 | Superior | Building | — |
| Overall Satisfaction | 3.43 | Superior | Building | — |
| Accuracy & Reliability | 3.47 | Superior | Building | — |
| Enables Agents with Data | 3.42 | Superior | Building | — |
| Accessible & Usable | 3.37 | Superior | Building | — |
| Component Average | 3.42 | Superior | Building | — |
Benchmark Note: Benchmark data is currently in the building phase; comparative norms will be reported beginning in Year 2 of the program.
| Score Breakdown by Respondent Demographics: Data Satisfaction | ||||
| Cohort | Segment | T3 Score | T3 Rating | Comp |
| Brokerage Type | Independent Brokerage | 3.43 | Superior | COM |
| Franchisee Office | 3.38 | Superior | COM | |
| Regional Brokerage Group | 3.50 | Exceptional | EX | |
| National Brokerage Brand/Franchisor | 3.14 | Good | IO | |
| Broker Role | Broker-Owner | 3.45 | Superior | COM |
| Broker-Manager | 3.43 | Superior | COM | |
| Broker-Sales Person | 3.33 | Superior | IO | |
| No. of MLSs | One | 3.55 | Exceptional | EX |
| Two | 3.39 | Superior | COM | |
| Three or more | 3.14 | Good | IO | |
| Brokerage Size | None-Just Myself | 3.57 | Exceptional | EX |
| 1–24 | 3.42 | Superior | COM | |
| 25–99 | 3.11 | Good | IO | |
| 100–199 | 3.00 | Good | IO | |
| 200-499 | 3.25 | Superior | IO | |
| 500–999 | 4.00 | Exceptional | EX | |
| 1,000 or more | 3.00 | Good | IO | |
Cohort: EX = Excelling (0.05+ above overall 3.43) · COM = Competitive (within 0.04) · IO = Improvement Opportunity (0.05+ below)
MetroList's Data category is its strongest performer, scoring 3.42 (Superior) with 92 percent overall satisfaction on data quality. All three data components scored in the Superior range: accuracy and reliability (3.47), data enabling agent success (3.42) and data accessibility and usability (3.37). Brokers expressed high trust in the integrity of MetroList's data and saw it as the clearest justification for their subscription. The most common enhancement requests centered on improved data accessibility — particularly on mobile — and expanded data types including ADU comparables and more robust commercial property data.
| Component | Score | Rating | Score | Rating |
|---|---|---|---|---|
| T3 Benchmark | ||||
| Category Score (Satisfaction + Components) | 3.17 | Good | Building | — |
| Overall Satisfaction | 3.14 | Good | Building | — |
| Reliable Platform | 3.16 | Good | Building | — |
| Enables Agents | 3.19 | Good | Building | — |
| Accessible & Usable | 3.22 | Good | Building | — |
| Component Average | 3.19 | Good | Building | — |
Benchmark Note: Benchmark data is currently in the building phase; comparative norms will be reported beginning in Year 2 of the program.
| Score Breakdown by Respondent Demographics: Technology Satisfaction | ||||
| Cohort | Segment | T3 Score | T3 Rating | Comp |
| Brokerage Type | Independent Brokerage | 3.18 | Good | COM |
| Franchisee Office | 2.88 | Average | IO | |
| Regional Brokerage Group | 3.00 | Good | IO | |
| National Brokerage Brand/Franchisor | 2.83 | Average | IO | |
| Broker Role | Broker-Owner | 3.18 | Good | COM |
| Broker-Manager | 2.86 | Average | IO | |
| Broker-Sales Person | 3.36 | Superior | EX | |
| No. of MLSs | One | 3.39 | Superior | EX |
| Two | 2.91 | Average | IO | |
| Three or more | 2.75 | Average | IO | |
| Brokerage Size | None-Just Myself | 3.43 | Superior | EX |
| 1–24 | 3.12 | Good | COM | |
| 25–99 | 2.88 | Average | IO | |
| 100–199 | 3.00 | Good | IO | |
| 200-499 | 2.25 | Deficient | IO | |
| 500–999 | 3.00 | Good | IO | |
| 1,000 or more | 2.00 | Deficient | IO | |
Cohort: EX = Excelling (0.05+ above overall 3.14) · COM = Competitive (within 0.04) · IO = Improvement Opportunity (0.05+ below)
Technology scored 3.17 (Good) — the weakest scoring category in the report — with 85 percent overall satisfaction but component scores reflecting broker reservations about the depth of technology performance. Reliability scored 3.16, agent enablement 3.19 and accessibility 3.22, all in the Good range. Qualitative responses paint a consistent picture: the platform is functional but not current with modern user experience expectations. Brokers frequently compared their MetroList experience unfavorably to Zillow, Redfin, and other consumer-facing platforms — not in terms of data quality, but in terms of speed, intuitiveness, and mobile experience. The AI-driven photo review tool specifically drew critical feedback as an example of a feature that adds friction rather than value.
| Statement | Score | Rating |
|---|---|---|
| MLS is a Partner in My Brokerage Success | 3.38 | Superior |
| I Trust the MLS to Make Decisions in Broker Interests | 3.03 | Good |
| My Brokerage Has Opportunities to Provide Input | 2.93 | Average |
Benchmark Note: Benchmark data is currently in the building phase; comparative norms will be reported beginning in Year 2 of the program.
| Score Breakdown by Respondent Demographics | ||||
| Cohort | Segment | T3 Score | T3 Rating | Comp |
| Brokerage Type | Independent Brokerage | 3.43 | Superior | COM |
| Franchisee Office | 3.00 | Good | IO | |
| Regional Brokerage Group | 3.00 | Good | IO | |
| National Brokerage Brand/Franchisor | 3.00 | Good | IO | |
| Broker Role | Broker-Owner | 3.40 | Superior | COM |
| Broker-Manager | 3.50 | Exceptional | EX | |
| Broker-Sales Person | 3.29 | Superior | IO | |
| No. of MLSs | One | 3.55 | Exceptional | EX |
| Two | 3.26 | Superior | IO | |
| Three or more | 3.03 | Good | IO | |
| Brokerage Size | None-Just Myself | 3.62 | Exceptional | EX |
| 1–24 | 3.33 | Superior | IO | |
| 25–99 | 3.22 | Good | IO | |
| 100–199 | 3.00 | Good | IO | |
| 200-499 | 3.00 | Good | IO | |
| 500–999 | 3.50 | Exceptional | EX | |
| 1,000 or more | 2.33 | Deficient | IO | |
Cohort: EX = Excelling (0.05+ above overall 3.38) · COM = Competitive (within 0.04) · IO = Improvement Opportunity (0.05+ below)
Partnership and Trust produced mixed results across its three components. The partner perception score (3.38) — whether brokers view MetroList as a partner in their brokerage success — was the highest and most positive, with 89 percent agreement. Trust in MLS decision-making scored 3.03 (Good), reflecting qualified confidence. Broker input into MLS priorities and decisions scored 2.93 — the only sub-score below 3.00 in the entire report — with 70 percent of brokers agreeing they have meaningful opportunities to provide input. This gap between feeling valued and feeling heard is the clearest call to action in Category 5, and the one most directly within MetroList's control to address.
| 2026 Score | 2026 Rating | T3 Broker Benchmark | T3 Rating | Regional Benchmark | Local Benchmark |
|---|---|---|---|---|---|
| 3.13 | Good | Building | — | Building | Building |
Benchmark Note: Benchmark data is currently in the building phase; comparative norms will be reported beginning in Year 2 of the program.
| Score Breakdown by Respondent Demographics | ||||
| Cohort | Segment | T3 Score | T3 Rating | Comp |
| Brokerage Type | Independent Brokerage | 3.14 | Good | COM |
| Franchisee Office | 3.17 | Good | COM | |
| Regional Brokerage Group | 3.00 | Good | IO | |
| National Brokerage Brand/Franchisor | 2.86 | Average | IO | |
| Broker Role | Broker-Owner | 3.17 | Good | COM |
| Broker-Manager | 2.86 | Average | IO | |
| Broker-Sales Person | 3.33 | Superior | EX | |
| No. of MLSs | One | 3.36 | Superior | EX |
| Two | 2.94 | Average | IO | |
| Three or more | 2.86 | Average | IO | |
| Brokerage Size | None-Just Myself | 3.39 | Superior | EX |
| 1–24 | 3.10 | Good | COM | |
| 25–99 | 2.88 | Average | IO | |
| 100–199 | 3.00 | Good | IO | |
| 200-499 | 2.67 | Average | IO | |
| 500–999 | 3.50 | Exceptional | EX | |
| 1,000 or more | 2.67 | Average | IO | |
Cohort: EX = Excelling (0.05+ above overall 3.13) · COM = Competitive (within 0.04) · IO = Improvement Opportunity (0.05+ below)
Data governance confidence scored 3.13 (Good), with broadly positive results tempered by a vocal minority expressing concern about how broker-owned listing data is shared and monetized. Open-ended responses on this question were among the most pointed in the survey, with several respondents questioning whether the MLS truly acts as a steward of broker data or primarily serves its own interests. The most common concern centered on data flowing to third-party portals — Zillow in particular — and a sense that brokers have not been adequately consulted on these decisions. This perception challenge requires active communication and transparency to address effectively.
| 2026 Score | 2026 Rating | T3 Broker Benchmark | T3 Rating | Regional Benchmark | Local Benchmark |
|---|---|---|---|---|---|
| 3.13 | Good | Building | — | Building | Building |
Benchmark Note: Benchmark data is currently in the building phase; comparative norms will be reported beginning in Year 2 of the program.
| Score Breakdown by Respondent Demographics | ||||
| Cohort | Segment | T3 Score | T3 Rating | Comp |
| Brokerage Type | Independent Brokerage | 3.17 | Good | COM |
| Franchisee Office | 3.00 | Good | IO | |
| Regional Brokerage Group | 2.67 | Average | IO | |
| National Brokerage Brand/Franchisor | 2.57 | Average | IO | |
| Broker Role | Broker-Owner | 3.17 | Good | COM |
| Broker-Manager | 2.86 | Average | IO | |
| Broker-Sales Person | 3.31 | Superior | EX | |
| No. of MLSs | One | 3.41 | Superior | EX |
| Two | 2.82 | Average | IO | |
| Three or more | 2.71 | Average | IO | |
| Brokerage Size | None-Just Myself | 3.48 | Superior | EX |
| 1–24 | 3.11 | Good | COM | |
| 25–99 | 2.56 | Average | IO | |
| 100–199 | 3.33 | Superior | EX | |
| 200-499 | 2.00 | Deficient | IO | |
| 500–999 | 3.00 | Good | IO | |
| 1,000 or more | 2.00 | Deficient | IO | |
Cohort: EX = Excelling (0.05+ above overall 3.13) · COM = Competitive (within 0.04) · IO = Improvement Opportunity (0.05+ below)
Technology confidence scored 3.13 (Good), consistent with the broader technology category performance. Brokers are cautiously confident that MetroList's technology decisions are made with broker interests in mind, but many expressed the view that the pace of technology evolution is too slow and that some recent additions — particularly AI-driven features — have not been designed with the broker experience as the primary consideration. The desire for more practical, broker-specific technology — rather than consumer-facing enhancements — appeared consistently throughout the open-ended responses.
| Statement | Score | Rating |
|---|---|---|
| Data used primarily to benefit brokers and clients | 3.23 | Good |
| Transparent about data sharing and licensing | 3.13 | Good |
| Long-term decisions align with broker interests | 3.11 | Good |
| Exercises appropriate restraint on new technologies | 3.04 | Good |
| Should focus on core MLS functions | 3.15 | Good |
| Should leverage economies of scale for broker benefit | 3.14 | Good |
Benchmark Note: Benchmark data is currently in the building phase; comparative norms will be reported beginning in Year 2 of the program.
| Score Breakdown by Respondent Demographics | ||||
| Cohort | Segment | T3 Score | T3 Rating | Comp |
| Brokerage Type | Independent Brokerage | 3.27 | Superior | EX |
| Franchisee Office | 3.00 | Good | IO | |
| Regional Brokerage Group | 2.67 | Average | IO | |
| National Brokerage Brand/Franchisor | 2.86 | Average | IO | |
| Broker Role | Broker-Owner | 3.26 | Superior | EX |
| Broker-Manager | 2.71 | Average | IO | |
| Broker-Sales Person | 3.38 | Superior | EX | |
| No. of MLSs | One | 3.45 | Superior | EX |
| Two | 3.06 | Good | IO | |
| Three or more | 2.81 | Average | IO | |
| Brokerage Size | None-Just Myself | 3.57 | Exceptional | EX |
| 1–24 | 3.20 | Good | EX | |
| 25–99 | 2.89 | Average | IO | |
| 100–199 | 2.50 | Average | IO | |
| 200-499 | 2.75 | Average | IO | |
| 500–999 | 3.00 | Good | IO | |
| 1,000 or more | 2.33 | Deficient | IO | |
Cohort: EX = Excelling (0.05+ above overall 3.13) · COM = Competitive (within 0.04) · IO = Improvement Opportunity (0.05+ below)
The Q11 governance statements produced a mean score of 3.13 (Good), with individual items clustered tightly between 3.04 and 3.23. Brokers most strongly agreed that data is used primarily to benefit brokers and clients (3.23) and that the MLS should leverage economies of scale for broker benefit (3.14). The statements around long-term decision alignment with broker interests (3.11) and transparency about data sharing and licensing (3.13) scored in the middle — areas where intentional communication improvement could move the needle. The statement that the MLS should focus on core MLS functions scored 3.15, indicating meaningful broker support for a core-first strategic posture.
Broker sentiment about current market conditions reflects a market in transition. The largest share of respondents (29 percent) described conditions as Stable, while 30 percent characterized the market as Softening or Challenging — a meaningful combined signal of uncertainty. 12 percent described the market as Strong and Improving. Open-ended comments cited limited inventory, elevated insurance costs, interest rate headwinds, and macroeconomic uncertainty as primary factors affecting brokerage business. A notable subtheme was the impact of commission structure changes, with some brokers noting that their reliance on MLS cooperation is evolving. Despite the headwinds, most respondents indicated that people still need housing and that their brokerage continues to operate — a resilient if cautious posture.
Brokers expressed strong confidence in MetroList's directional evolution, with 85 percent agreeing the MLS is evolving appropriately from a technology perspective and 83 percent agreeing on geographic footprint. These are meaningfully positive readings that suggest MetroList's strategic trajectory is broadly endorsed by its membership. Open-ended responses added nuance: brokers generally support the direction of evolution but want to see execution keep pace. Requests for expanded geographic coverage — including integration with adjacent markets like Truckee/Tahoe and Tuolumne County — were the most common specific suggestions. A small but consistent subset expressed a preference for a unified statewide MLS model as the ultimate end state.
Opinions on a marketplace model for optional, usage-priced add-on tools were closely divided, with 51 percent agreeing and 49 percent disagreeing among those who expressed a view. This near-even split reflects a genuine tension in the broker community between those who want flexibility and those who value the equality of a flat-subscription model. Open-ended responses from both camps were instructive: proponents wanted to stop paying for tools they do not use, while opponents expressed concern about creating a two-tiered system where high-volume brokerages pay more for the same access. The principle of equal access — regardless of brokerage size or production volume — emerged as a core value that any future marketplace model would need to protect.
Subscription-based data access for complementary industries such as mortgage, insurance, and title was the most contentious strategic question in the survey, with 37 percent of respondents in agreement — the lowest agreement rate of any strategic question asked. Open-ended comments reflect deep concern about data sovereignty, with many brokers viewing third-party data monetization as a conflict of interest that benefits the MLS at the expense of broker-owned data. Respondents who were more open to the idea generally cited potential MLS revenue as a benefit that could be passed on to members. MetroList should approach this question with significant caution and extensive broker consultation before any policy changes are considered.
Expanding MetroList's property data scope to include rentals, commercial listings, and FSBOs received broad support, with 74 percent of brokers agreeing — the highest agreement rate among the three strategic expansion questions. Commercial and rental expansion were viewed most favorably, with multiple respondents noting that platforms such as CoStar and Crexi have established significant commercial data footholds — making this an area where early MetroList investment would be well-received. FSBO inclusion was more divisive, with several respondents expressing concern that it would undermine broker value. The overall signal is clear: brokers want MetroList to compete more fully for the broad real estate data market, particularly in commercial, but want FSBO handled with care.
Platform usability or complexity was the most commonly cited pain point among broker respondents, selected by 27 percent — the highest rate by a significant margin over the next most common item. Compliance requirements (18 percent) and broker training access (14 percent) followed, alongside technology keeping pace with market needs (13 percent). Notably, 24 percent selected 'None of the Above,' indicating that roughly one in four respondents does not experience a significant pain point with the MLS — a positive signal that should not be overlooked. The pain point data reinforces the technology category scores: brokers are most frustrated with how hard the platform is to use, not with the underlying data or the people behind the service.
The survey received 204 complete responses from MetroList® Services broker members across the Northern California Central Valley service area. The response pool represents a broad cross-section of the MetroList broker community, spanning all brokerage organization types, a range of brokerage sizes, and multiple broker roles. T3 Sixty collected responses in early 2026 as part of the National Broker–MLS Market Intelligence Benchmarking Survey program.
| Category | Count | % |
|---|---|---|
| Independent Brokerage | 174 | 85.3% |
| Franchisee Office | 12 | 5.9% |
| National Brokerage Brand/Franchisor | 7 | 3.4% |
| Regional Brokerage Group | 6 | 2.9% |
| Metrolist Committee Member | 1 | 0.5% |
| Agent | 1 | 0.5% |
| Broker Associate | 1 | 0.5% |
| REMAX Gold | 1 | 0.5% |
| Category | Count | % |
|---|---|---|
| None-Just Myself | 52 | 33.5% |
| 1–24 | 81 | 52.3% |
| 25–99 | 9 | 5.8% |
| 100–199 | 4 | 2.6% |
| 200-499 | 4 | 2.6% |
| 500–999 | 2 | 1.3% |
| 1,000 or more | 3 | 1.9% |
| Category | Count | % |
|---|---|---|
| Broker-Owner | 128 | 82.6% |
| Broker-Sales Person | 15 | 9.7% |
| Broker-Manager | 7 | 4.5% |
| Brokekr-Realtor | 1 | 0.6% |
| Team leader | 1 | 0.6% |
| agent | 1 | 0.6% |
| Category | Count | % |
|---|---|---|
| One | 91 | 58.7% |
| Two | 34 | 21.9% |
| Three or more | 30 | 19.4% |
Organization Note: Independent brokerages dominate the MetroList subscriber base, representing 87 percent of respondents. Franchisee offices (6 percent), national brokerage brands/franchisors (4 percent) and regional brokerage groups (3 percent) account for the remainder. This heavy independent concentration is consistent with MetroList's market geography and suggests that the survey results are most representative of small-to-mid-sized independent operator perspectives — a group that places particular value on cost efficiency, core MLS functionality, and equitable access regardless of brokerage size.
Agent Count Note: The respondent base skews strongly toward smaller brokerages: 25 percent report operating with no agents beyond themselves, 40 percent have 1–24 agents, and 4 percent have 100 or more active agents. This size distribution reflects the composition of MetroList's participant base and means T3 Sixty recommends reading the survey results primarily through a small-brokerage lens. It also reinforces the themes around cost sensitivity, usability simplicity, and the importance of flat-fee pricing that appeared consistently across open-ended responses.
Role Note: Broker-Owners account for 83 percent of respondents — a strong signal that the survey captured the most engaged and influential segment of the MetroList broker membership. Broker-Sales Persons (10 percent) and Broker-Managers (5 percent) round out the respondent population. The high concentration of Broker-Owners ensures that the results reflect the perspectives of individuals who have both the most at stake in MLS performance and the clearest view of how MetroList's services translate into brokerage business outcomes.
T3 Scores for each respondent segment. Cell shading = T3 rating tier. Overall column is the benchmark reference.
| Question / Category | Overalln=204 | Independent Brokerage | Franchisee Office | Regional Brokerage Group | National Brokerage Brand/Franchisor |
|---|---|---|---|---|---|
| 1. Satisfaction and Value | |||||
| Q2 — Overall Satisfaction | 3.27 | 3.31 | 3.12 | 3.00 | 2.71 |
| Q3 — Business Importance | 3.64 | 3.64 | 3.50 | 3.75 | 3.57 |
| 2. Support and Services | |||||
| Q5 — Support & Services | 3.45 | 3.47 | 3.38 | 3.00 | 3.43 |
| 3. Data | |||||
| Q6 — Data Quality | 3.43 | 3.43 | 3.38 | 3.50 | 3.14 |
| 4. Technology | |||||
| Q7 — Technology & Tools | 3.14 | 3.18 | 2.88 | 3.00 | 2.83 |
| 5. Partnership and Trust | |||||
| Q8 — Partnership Statements | 3.38 | 3.43 | 3.00 | 3.00 | 3.00 |
| Q9 — Data Governance | 3.13 | 3.14 | 3.17 | 3.00 | 2.86 |
| Q10 — Technology Confidence | 3.13 | 3.17 | 3.00 | 2.67 | 2.57 |
T3 Scores for each respondent segment. Cell shading = T3 rating tier. Overall column is the benchmark reference.
| Question / Category | Overalln=204 | Broker-Owner | Broker-Manager | Broker-Sales Person |
|---|---|---|---|---|
| 1. Satisfaction and Value | ||||
| Q2 — Overall Satisfaction | 3.27 | 3.36 | 3.00 | 3.07 |
| Q3 — Business Importance | 3.64 | 3.64 | 3.29 | 3.73 |
| 2. Support and Services | ||||
| Q5 — Support & Services | 3.45 | 3.48 | 3.14 | 3.50 |
| 3. Data | ||||
| Q6 — Data Quality | 3.43 | 3.45 | 3.43 | 3.33 |
| 4. Technology | ||||
| Q7 — Technology & Tools | 3.14 | 3.18 | 2.86 | 3.36 |
| 5. Partnership and Trust | ||||
| Q8 — Partnership Statements | 3.38 | 3.40 | 3.50 | 3.29 |
| Q9 — Data Governance | 3.13 | 3.17 | 2.86 | 3.33 |
| Q10 — Technology Confidence | 3.13 | 3.17 | 2.86 | 3.31 |
T3 Scores for each respondent segment. Cell shading = T3 rating tier. Overall column is the benchmark reference.
| Question / Category | Overalln=204 | One | Two | Three or more |
|---|---|---|---|---|
| 1. Satisfaction and Value | ||||
| Q2 — Overall Satisfaction | 3.27 | 3.49 | 3.06 | 2.97 |
| Q3 — Business Importance | 3.64 | 3.80 | 3.38 | 3.47 |
| 2. Support and Services | ||||
| Q5 — Support & Services | 3.45 | 3.52 | 3.47 | 3.32 |
| 3. Data | ||||
| Q6 — Data Quality | 3.43 | 3.55 | 3.39 | 3.14 |
| 4. Technology | ||||
| Q7 — Technology & Tools | 3.14 | 3.39 | 2.91 | 2.75 |
| 5. Partnership and Trust | ||||
| Q8 — Partnership Statements | 3.38 | 3.55 | 3.26 | 3.03 |
| Q9 — Data Governance | 3.13 | 3.36 | 2.94 | 2.86 |
| Q10 — Technology Confidence | 3.13 | 3.41 | 2.82 | 2.71 |
T3 Scores for each respondent segment. Cell shading = T3 rating tier. Overall column is the benchmark reference.
| Question / Category | Overalln=204 | None-Just Myself | 1–24 | 25–99 | 100–199 | 200-499 | 500–999 | 1,000 or more |
|---|---|---|---|---|---|---|---|---|
| 1. Satisfaction and Value | ||||||||
| Q2 — Overall Satisfaction | 3.27 | 3.60 | 3.24 | 3.11 | 3.00 | 2.25 | 4.00 | 2.00 |
| Q3 — Business Importance | 3.64 | 3.70 | 3.68 | 3.44 | 3.25 | 3.00 | 3.50 | 3.67 |
| 2. Support and Services | ||||||||
| Q5 — Support & Services | 3.45 | 3.61 | 3.42 | 3.50 | 3.25 | 2.50 | 4.00 | 3.67 |
| 3. Data | ||||||||
| Q6 — Data Quality | 3.43 | 3.57 | 3.42 | 3.11 | 3.00 | 3.25 | 4.00 | 3.00 |
| 4. Technology | ||||||||
| Q7 — Technology & Tools | 3.14 | 3.43 | 3.12 | 2.88 | 3.00 | 2.25 | 3.00 | 2.00 |
| 5. Partnership and Trust | ||||||||
| Q8 — Partnership Statements | 3.38 | 3.62 | 3.33 | 3.22 | 3.00 | 3.00 | 3.50 | 2.33 |
| Q9 — Data Governance | 3.13 | 3.39 | 3.10 | 2.88 | 3.00 | 2.67 | 3.50 | 2.67 |
| Q10 — Technology Confidence | 3.13 | 3.48 | 3.11 | 2.56 | 3.33 | 2.00 | 3.00 | 2.00 |
All scored survey questions use a four-point scale. Responses are converted to numeric values as shown below. No Opinion responses are excluded from score calculations.
| Response Option | Numeric Value | Notes |
|---|---|---|
| Very Satisfied / Strongly Agree | 4 | |
| Satisfied / Agree | 3 | |
| Dissatisfied / Disagree | 2 | |
| Very Dissatisfied / Strongly Disagree | 1 | |
| No Opinion | — | Excluded from all calculations |
Every T3 Score — category or overall — maps to one of five performance tiers based on the thresholds below.
Five categories contribute equally to the Overall Composite T3 Score. Each category score is the mean of its constituent question scores, as defined below.
| Category | Questions | Score Formula |
|---|---|---|
| 1 · Overall Satisfaction | Q2, Q3 | Mean of Q2 (Overall Satisfaction) + Q3 (Net Promoter proxy — recommend to colleague) |
| 2 · Core MLS Services | Q5 | Mean of all Q5 component items (MLS data quality, listing tools, search functionality, etc.) |
| 3 · Member Support & Communication | Q6 | Mean of all Q6 component items (responsiveness, staff helpfulness, communication clarity, etc.) |
| 4 · Education & Resources | Q7 | Mean of all Q7 component items (training quality, resource availability, onboarding support, etc.) |
| 5 · Governance & Industry Leadership | Q8, Q9, Q10, Q11 | Mean of: Q8 Partnership Statements mean + Q9 (Data Governance Confidence) + Q10 (Technology Confidence) + Q11 Governance Statements mean.Q8 items: MLS as Partner · Trust in Decision-Making · Input & Representation · Q11 items: Manages Data Responsibly · Operations are Transparent |
| Overall Composite T3 Score | Simple mean of the five category scores (equal weighting) | |
The following example traces a hypothetical respondent set through the full scoring chain — from raw survey responses to the final Overall Composite T3 Score and rating tier.
| Step | Calculation | Result |
|---|---|---|
| Q2 Overall Satisfaction | 8 valid responses: 4, 4, 3, 4, 3, 3, 3, 4 Sum = 28 ÷ 8 respondents | 3.50 |
| Q3 Recommend to Colleague | 9 responses; 1 “No Opinion” excluded → 8 valid: 4, 3, 3, 4, 4, 3, 4, 3 Sum = 28 ÷ 8 | 3.50 |
| Category 1 Overall Satisfaction | Mean of Q2 (3.50) + Q3 (3.50) 6.00 ÷ 2 | 3.50 Superior |
| Category 2 Core MLS Services | Q5 component mean (hypothetical) | 3.15 Good |
| Category 3 Support & Comm. | Q6 component mean (hypothetical) | 3.40 Superior |
| Category 4 Education & Resources | Q7 component mean (hypothetical) | 2.90 Good |
| Category 5 Governance & Leadership | Mean of Q8 + Q9 + Q10 + Q11 (hypothetical) | 3.28 Superior |
T3 Sixty maintains a national benchmark database drawn from all MLS organizations that participate in the Broker–MLS Market Intelligence Survey program. Benchmarks are reported at both the overall composite and individual category level.
The following questions are part of the national benchmarking framework and generate T3 Scores. Question wording is standardized across all MLS participants; [MLS Name] is substituted per client.
The following questions provide local market context and MLS-specific intelligence. They do not contribute to T3 Score calculations.
Sample Comments