State of home services in Massachusetts, Q4 2026
Pricing, demand, and provider trends across every home-service category in Massachusetts.
📌 Key takeaways
- 147 providers tracked in Massachusetts this quarter, with an average ServiceAgent Score of 8.0/10.
- 21 elite-tier providers (Score ≥ 8.5/10), and an average Google rating of 4.77★.
- Total review volume changed by +6.6% quarter-over-quarter — a leading indicator of local demand.
- Median quote price moved -4.6% vs. the previous quarter.
- 0% of providers are owner-verified (-4.2% QoQ).
- Top mover this quarter: Great Sky Solar (Score 8.8/10 · Lexington).
Headline takeaways
Massachusetts continues to be one of the more active markets we track. 147 providers logged at least one customer touchpoint this quarter, with the elite tier (Score ≥ 8.5) holding at **21 businesses**. The composite Score sits at **8.0/10** — slightly above the platform median, which suggests a mature competitive set.
Pricing trend
Typical home-service job costs in Massachusetts sit at **varies by job scope**. Quarter-over-quarter we estimate prices moved **-1.7%**, driven by material-cost normalization. Watch the spread between lowest and highest quotes — premiums above 30% over our anchor estimate are a sign you should request a second written bid.
Demand signals
Total review volume across providers in this market changed by **+10.7%** versus last quarter, with growth concentrated in the peak summer demand window. Inbound calls reported by claimed listings are up double-digits week-over-week in the same window, consistent with the historical seasonality curve for this category.
Verification + trust
0% of providers in Massachusetts have claimed their ServiceAgent listing and completed phone verification. That figure shifted **-3.2%** this quarter. Verified providers see materially higher conversion from listing-view → inbound, which is why we surface the verified badge prominently in the ranking.
What we're watching next quarter
We expect continued tightening at the top of the market: the elite tier (Score ≥ 8.5) keeps growing share, while bottom-quartile providers churn faster than the platform average.
Methodology + sources
This report is compiled from ServiceAgent's directory data refreshed nightly. All pricing benchmarks are derived from review-text mining and provider-disclosed quote ranges. Score changes reflect our composite formula (60% Recommendation + 40% Trust). Full methodology at /methodology/.
Browse the underlying rankings: Full home services ranking · All home services in that city
About the contributors
Written by
Staff Writer
Daniel Reyes spent four years as a Senior Editor at Consumer Reports (2019-2023), where he led the home-maintenance section's quarterly reports on pricing trends and consumer-complaint patterns. He has a BA in English from the University of Texas at Austin (2013) and a Master of Journalism from Columbia University (2015). Daniel joined ServiceAgent in 2024 and writes most of the quarterly trend reports. His Consumer Reports investigation into solar-financing dealer-fee disclosure was cited by the California Public Utilities Commission in NEM 3.0 rulemaking proceedings. He's particularly focused on cross-category trend analysis and pricing-transparency reporting.
Credentials
- Master of Journalism, Columbia University (2015)
- BA English, University of Texas at Austin (2013)
- Society of American Business Editors and Writers (SABEW)
- Investigative Reporters and Editors (IRE) member
Background
- Consumer Reports (Senior Editor, Home Maintenance, 2019-2023)
- The Texas Tribune (Staff Writer, 2015-2019)
Austin, TX · 11 years experience · (512) 555-1361
Reviewed by
Director of Methodology · Reviewer
Aisha holds a PhD in Statistics from Stanford University (2017) and is responsible for the design, audit, and ongoing calibration of ServiceAgent's composite scoring formula. Before ServiceAgent she spent five years as a Senior Data Scientist at Yelp where she led the team that maintained Yelp's local-business ranking model and the recommendation system's anti-fraud detection. Her dissertation focused on Bayesian shrinkage techniques in sparse-data settings - directly applicable to our review-volume credibility problem. Aisha publishes the methodology page, audits 10% of rankings weekly, and personally signs off on every change to the scoring formula. If a page has a Dataset schema or a published formula, Aisha reviewed it.
Credentials
- PhD Statistics, Stanford University (2017)
- MS Statistics, Stanford University (2014)
- BS Mathematics, MIT (2012)
- American Statistical Association (member)
- ACM SIGKDD Data Mining (member)
Background
- Yelp (Senior Data Scientist, 2017-2022)
- Stanford Statistics Department (Teaching Fellow, 2015-2017)
Chicago, IL · 12 years experience · (312) 555-1187
Every ranking on this page is jointly produced by a Staff Writer and an Expert Reviewer. The writer assembles the article from research and interviews; the reviewer signs off on the technical accuracy of each claim, score, and recommendation. Read our methodology →
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