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BLUEROCK

BLUEROCK Research

Business decisions backed by observable evidence.

Our website and pricing studies provide documented methods, traceable evidence and downloadable data. Our desk reviews explain their source base and limits. Findings describe observed information, not business quality or causation.

Discuss your website

Market Study · September 2026

Social Media Management Pricing in 2026

Published U.S. agency offers: entry prices, content volume, video, community management and scope differences.

  • 31 U.S. providers
  • Primary sources
  • Downloadable pricing data
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Research Brief #4 · August 2026

Property Financing Website Research 2026

A guidance review of the decisions, disclosure boundaries, and secure handoffs a mortgage lender or broker website needs.

  • Consumer guidance
  • Advertising boundaries
  • No lending advice
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Desk Study #3 · August 2026

The Beauty Website Decision Study 2026

A qualitative study of the five decisions that turn a beauty website from a gallery into a usable booking and consultation environment.

  • Five-frictions model
  • Public-page audit
  • Primary guidance
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Flagship Study #2 · August 2026

100 Accounting and Bookkeeping Websites Analyzed

A 20-field review of prospect journeys, client portals, trust signals, service clarity, and mobile usability.

  • 100 websites
  • 20 coded fields
  • IRS-based frame
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Flagship Study #1 · August 2026

100 Trucking Company Websites Analyzed

A 51-field review of quote paths, driver recruiting, public proof, mobile UX, and conversion structure.

  • 100 websites
  • 51 coded fields
  • FMCSA-based frame
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How to use these studies

Use the findings to frame questions for your own website. Empirical studies publish methods, coded observations and downloadable data, with privacy choices explained for each dataset. Desk reviews provide their source base and limitations. Read each report’s definitions and scope before applying its findings.

What the research can and cannot show

A public-page review can show whether a visitor could find a stated service, a credible contact path, or an approved information source at the time of observation. It cannot verify private operations, legal or regulatory compliance, lead quality, revenue, service outcomes, or the reasons a business performs well. We therefore separate visible evidence from interpretation, name the observation period, and avoid turning a pattern into a promise.

The research is designed to help owners, operators, and teams ask more precise website questions: what must be clear before a visitor contacts us; what information belongs in an approved system; and which claims need evidence before publication. For project-specific decisions, the relevant operator remains responsible for facts, approvals, and outcomes.

Methods and definitions are part of every finding. Where a study cannot support a conclusion, the limitation is recorded instead of being filled with a confident assumption. That makes the work easier to audit, challenge, and reuse responsibly.

Read the dataset reuse terms