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Top 10 Best Social Media Listening Software of 2026

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Top 10 Best Social Media Listening Software of 2026

Compare social media listening software tools with factual notes on features, limits, and fit for brand, PR, and marketing teams.

20 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy

Social media listening software turns public posts into decision-ready signals for analysts, PR teams, and product operators. This roundup compares enterprise-grade analytics, media monitoring coverage, and integration depth so teams can weigh automation and data model fit against governance, throughput, and configuration needs.

Brandwatch is the best pick for research and operations teams that need monitored social signals plus governed collaboration, because unified projects tie monitoring and topic clustering to API-driven workflows with RBAC and audit visibility, while Hootsuite fits social operations that want listening-to-action routing through its streams and assignment views.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

Brandwatch

Brandwatch’s unified projects combine monitoring, topic clustering, and governed collaboration with API access for automated downstream workflows.

Best for: Fits when research and operations teams need monitored social signals plus governed integrations to Slack and ticketing systems.

2

Cision

Editor pick

Governance-focused listening configuration with RBAC and audit visibility across query setup and monitoring actions.

Best for: Fits when communications teams need governed listening plus workflow integration for ongoing monitoring and reporting.

3

Meltwater

Editor pick

Automated report scheduling paired with cross-channel dashboards for repeatable executive monitoring cycles.

Best for: Fits when communications, PR, or brand teams need recurring listening reports with internal workflow integrations.

Comparison Table

1
BrandwatchBest overall
enterprise
9.5/10
Overall
2
enterprise
8.9/10
Overall
3
enterprise
8.7/10
Overall
4
8.5/10
Overall
5
enterprise
8.1/10
Overall
6
7.7/10
Overall
7
7.6/10
Overall
8
7.3/10
Overall
9
6.8/10
Overall
10
6.5/10
Overall
#1

Brandwatch

enterprise

Enterprise social listening and consumer intelligence platform with deep analytics and historical data access.

9.5/10
Overall
Features9.5/10
Ease of Use9.5/10
Value9.5/10
Standout feature

Brandwatch’s unified projects combine monitoring, topic clustering, and governed collaboration with API access for automated downstream workflows.

Brandwatch’s core workflow starts with building Boolean query sets, then running monitoring for volume trends, sentiment polarity scoring, and conversational theme clustering across languages. Dashboard customization supports shared views for analysts and stakeholders, and automated report scheduling reduces manual status updates. Brandwatch’s extensibility is strongest when teams pair its web UI with the API for enrichment and downstream storage, then use Slack for alert delivery.

A key tradeoff is that high-quality results depend on careful query maintenance and spam and bot filtering rules, especially when tracking niche products or local markets. Brandwatch fits best for teams that need ongoing monitoring plus integration into existing analyst workflows like ticket creation or CRM webhook ingestion.

Pros
  • +API supports custom ingestion, enrichment, and reporting workflows
  • +RBAC plus audit log supports controlled project access
  • +Slack integration supports fast, role-based alert delivery
  • +Automated report scheduling reduces recurring analyst effort
Cons
  • –Query tuning is required to keep sentiment and themes accurate
  • –Automation quality depends on integration setup and alert routing rules
  • –Dashboard customization can add time for new users
  • –High throughput exports can hit query latency expectations
Use scenarios
  • Brand and communications teams

    Track campaign sentiment and themes

    Faster issue triage

  • Customer support ops teams

    Route social complaints into tickets

    Reduced response time

Show 2 more scenarios
  • Market research analysts

    Benchmark competitors and audiences

    Better competitive insights

    Build Boolean query sets to compare share of voice and sentiment across historical periods.

  • Data and automation teams

    Automate alerts into data stores

    Consistent downstream datasets

    Use the Brandwatch API to export filtered mentions and drive anomaly and alert workflows.

Best for: Fits when research and operations teams need monitored social signals plus governed integrations to Slack and ticketing systems.

#2

Cision

enterprise

PR and communications platform with social media monitoring through its Brandwatch integration.

8.9/10
Overall
Features8.9/10
Ease of Use8.9/10
Value8.9/10
Standout feature

Governance-focused listening configuration with RBAC and audit visibility across query setup and monitoring actions.

Cision is a social media listening option built for communications teams that also run press workflows, using media intelligence and social monitoring in one governed environment. It supports boolean query building, sentiment polarity scoring, and theme clustering to turn streaming mentions into structured signals for tracking and reporting.

Integration depth matters because Cision connects monitoring outputs to newsroom and workflow ecosystems through APIs and messaging integrations. Governance controls include role-based permissions and admin auditing to manage who can configure queries and export results.

Pros
  • +Strong integration with communications workflows and reporting needs
  • +Boolean query builder supports precise topic and brand scoping
  • +Sentiment polarity scoring supports ongoing brand and issue monitoring
  • +Role-based access supports controlled configuration and exports
Cons
  • –Setup can be heavier than consumer dashboards due to governance requirements
  • –Automation breadth depends on configured integrations for each workflow
  • –Dashboard customization can take time to match team reporting styles
  • –Latency and data freshness vary by query complexity and ingest path
Use scenarios
  • Communications analysts

    Track brand and issue mentions continuously

    Ongoing visibility into mentions

  • Media relations teams

    Target journalist pitches with media context

    More organized journalist outreach

Show 2 more scenarios
  • PR reporting managers

    Report campaign coverage using monitoring

    Documented earned media activity

    Managers review coverage history and monitoring outputs to produce repeatable campaign and stakeholder reports.

  • Social media teams

    Connect social signals to press workflows

    Structured social signal understanding

    Teams structure streaming mentions into signals that fit newsroom and PR reporting workflows.

Best for: Fits when communications teams need governed listening plus workflow integration for ongoing monitoring and reporting.

#3

Meltwater

enterprise

Media intelligence platform combining social listening with PR and media monitoring.

8.7/10
Overall
Features8.7/10
Ease of Use8.8/10
Value8.6/10
Standout feature

Automated report scheduling paired with cross-channel dashboards for repeatable executive monitoring cycles.

Meltwater fits teams that treat monitoring as an always-on function and want consistent reporting outputs. Monitoring queries, alert-style workflows, and dashboard views are built to support ongoing competitive benchmarking and campaign health reviews rather than one-off research. Integration depth is a key differentiator, with connections that support downstream workflows and reduce manual copying from dashboards.

A tradeoff is governance overhead when multiple teams need different query sets, notification routes, and report schedules. Meltwater works best when a dedicated owner manages query definitions and dashboard configuration, then other stakeholders consume scheduled outputs for steady decision cycles.

Pros
  • +Scheduled reporting reduces manual dashboard export work
  • +Dashboards support ongoing share-of-voice and engagement review
  • +Workflow integrations help route insights into internal tools
  • +Monitoring setup supports recurring campaign and competitive tracking
Cons
  • –Query and notification management needs clear ownership
  • –Some advanced slicing requires extra configuration effort
  • –Dashboard customization can take time for large team views
Use scenarios
  • PR and communications teams

    Track brand mentions during product launches

    Faster escalation and status reporting

  • Marketing performance analysts

    Run weekly competitive benchmarking reviews

    More consistent campaign learnings

Show 2 more scenarios
  • Customer support leaders

    Route social complaints into case workflows

    Lower time to acknowledge

    Integrations help move high-signal mentions into support processes for faster response.

  • Executive teams

    Consume summarized monitoring updates

    Tighter visibility for decisions

    Scheduled reporting provides recurring visibility without requiring dashboard access.

Best for: Fits when communications, PR, or brand teams need recurring listening reports with internal workflow integrations.

#4

Hootsuite

mid

Social media management platform with integrated listening streams and mention tracking.

8.5/10
Overall
Features8.5/10
Ease of Use8.5/10
Value8.5/10
Standout feature

Unified Hootsuite streams and assignments let teams route mentions from listening views into action queues.

Hootsuite combines social listening with publishing and account management in a single workflow so listening results can move directly into moderation or replies. Its strengths center on cross-channel monitoring, custom searches, and scheduled reporting that feeds teams that already run social operations in Hootsuite.

Pros
  • +Listening-to-action workflows reduce time from mention to response
  • +Scheduled listening reports help distribute insights without manual exports
  • +Dashboard configuration supports multiple teams with different monitoring needs
  • +Third-party connectors support operational routing for mentions
Cons
  • –Advanced listening configuration requires careful query and permission setup
  • –Historical depth and retention vary by source and query scope
  • –High-volume streams can increase query latency during interactive filtering
  • –Some NLP features depend on add-ons or plan-level capability
Use scenarios
  • Multi-brand social operations teams

    Monitor mentions across multiple accounts and locations

    Consistent oversight across profiles

  • Governed social operations teams

    Route listening actions through approvals

    More accountable engagement workflows

Show 2 more scenarios
  • Social video distribution teams

    Schedule destination publishing from listening context

    Coordinated video release planning

    Pair monitoring with publishing workflows so teams coordinate video releases across social destinations and destinationspecific controls.

  • Marketing content production teams

    Draft and route reply copy from insights

    Faster approved short-form posts

    Create caption drafts and variations using brand voice settings, then send approved drafts into scheduling.

Best for: Fits when social operations teams need listening signals tied to publishing, moderation, and shared reporting.

#5

Sprout Social

enterprise

Social media management suite with built-in listening powered by Simply Measured technology.

8.1/10
Overall
Features8.1/10
Ease of Use8.1/10
Value8.1/10
Standout feature

Unified listening-to-response workflow with topic tagging that carries context into team actions.

Sprout Social’s listening workflow uses saved queries and structured filters to organize mentions by keyword, account, and engagement context. Topic tagging and post-level context make it easier to move from detection to action inside the same operational workspace. Integration depth is a key differentiator because mentions can be routed into collaboration and support systems instead of only being exported.

Pros
  • +Saved searches and topic tagging keep listening organized
  • +Conversation context links monitoring results to real responses
  • +Integrations support routing mentions into team workflows
  • +Role controls support multi-person governance
Cons
  • –Advanced analytics customization is limited for research-grade modeling
  • –Complex query coverage can require more query discipline
  • –Exports may not fit every downstream data schema expectation
Use scenarios
  • Community management teams

    Monitor brand topics daily

    Faster, consistent engagement

  • Social customer support

    Route urgent mentions to tickets

    Lower response backlog

Show 2 more scenarios
  • Marketing teams

    Track campaign share of voice signals

    Clearer campaign adjustments

    Listening reports summarize mention trends and theme signals tied to active campaigns.

  • Operations and governance leads

    Control access across shared workspaces

    Stronger accountability

    Administrative controls manage who can view, act, and review social interactions across teams.

Best for: Fits when community and support teams need listening to trigger repeatable workflows.

#6

Brand24

SMB

Real-time social media monitoring with sentiment analysis and influencer scoring.

7.7/10
Overall
Features7.7/10
Ease of Use7.7/10
Value7.7/10
Standout feature

Velocity-driven mention monitoring that surfaces spikes and potential crises faster than manual dashboard scanning.

Brand24 focuses on fast detection of brand mentions with an attention to mention velocity and contextual signals. The product tracks social conversations across platforms, aggregates trends into dashboards, and highlights spikes that can indicate PR issues or campaign momentum.

Pros
  • +Mention velocity views help spot sudden audience shifts quickly
  • +Automated report scheduling reduces monitoring overhead for recurring reviews
  • +API support enables custom data pulls into internal tooling
  • +Dashboards make it practical to monitor multiple brands and campaigns
Cons
  • –Query setup needs Boolean discipline to avoid noisy feeds
  • –Sentiment and theme clustering can misread sarcasm in mixed-language threads
  • –Export formats and data handling can require extra steps for long-term archiving
  • –High-volume tracking can increase query latency during spikes
Use scenarios
  • Social media and community teams

    Triage mentions needing moderation or replies

    Less manual scanning effort

  • PR and communications teams

    Track coverage across multiple publication sources

    Faster media coverage tracking

Show 2 more scenarios
  • Marketing and campaign teams

    Measure campaign conversation volume and sentiment

    Clearer audience response visibility

    Monitor campaign-related trends, sources, and sentiment spikes during and after launch.

  • Marketing, PR, and reporting teams

    Send recurring updates to stakeholders

    More repeatable reporting cycles

    Schedule automated reporting and exports for weekly and incident-based stakeholder updates.

Best for: Fits when comms and marketing teams need mention-velocity alerts and scheduled reporting across multiple brands.

#7

YouScan

mid

AI-powered social listening with visual recognition for logos and scenes in user-generated content.

7.6/10
Overall
Features7.6/10
Ease of Use7.6/10
Value7.6/10
Standout feature

Inbox-style triage with per-mention tagging and assignment keeps social monitoring work inside one workflow.

YouScan collects and normalizes social mentions across major networks, then turns them into reviewable streams tied to defined keywords and brands. The workflow centers on tag, triage, and team assignment so mentions can move from detection to action without exporting everything to another system.

Pros
  • +Mention workflows support tagging and assignment for multi-person triage
  • +Slack notifications reduce time between detection and internal action
  • +Historical dashboards support trend checks across defined brand queries
  • +Exports support moving labeled mention sets into external reporting
Cons
  • –Advanced filtering needs careful query design to reduce noise
  • –Dashboard customization is limited compared with custom BI pipelines
  • –Throughput and query complexity can affect query latency for large brands
  • –Deep CRM routing requires additional integration work beyond basic ingestion
Use scenarios
  • Brand managers

    Review sentiment and topic shifts

    Brand perception tracking trends

  • Marketing and competitive intelligence teams

    Monitor competitor themes and share-of-voice

    Comparative competitor insights

Show 2 more scenarios
  • PR analysts and agency teams

    Publish recurring mention summaries

    Consistent coverage reporting

    Use saved views, dashboards, and exports to generate repeatable reports on volume, sentiment, and topics.

  • Brand and social media teams

    Find product mentions in images

    Improved image-based discovery

    Identify brand assets in social images, including posts without clear text mentions for broader visibility.

Best for: Fits when teams need governed mention triage with internal routing and Slack-based alerts.

#8

Mention

SMB

Real-time media monitoring tool for brand mentions across social and web sources.

7.3/10
Overall
Features7.3/10
Ease of Use7.3/10
Value7.3/10
Standout feature

Inbox-first workflow that blends monitoring results with response-ready routing controls for ongoing brand care.

Mention continuously monitors web and social channels for brand, product, and topic mentions, then groups results into a unified inbox for review and response.

Pros
  • +Unified inbox view for handling mentions across multiple sources
  • +Boolean query builder supports precise topic and competitor tracking
  • +Saved alerts and scheduled reports fit recurring monitoring cycles
  • +API supports programmatic ingestion into internal tooling and dashboards
Cons
  • –Query pagination can slow down backfills when historical depth is critical
  • –Advanced filtering depends on maintaining clean query definitions
  • –Dashboard customization is limited compared with teams that need bespoke layouts
  • –Large search volumes increase attention load for manual triage
Use scenarios
  • Content marketing and outreach teams

    Find relevant sharing for promoted content

    More distribution opportunities

  • Campaign and social media teams

    Track campaign hashtags over time

    Clearer campaign momentum

Show 2 more scenarios
  • PR and media relations teams

    Monitor coverage for announcements and campaigns

    Recurring coverage snapshots

    Teams track news, blogs, and forums to review coverage volume, sources, and sentiment trends.

  • Communications and reputation teams

    Watch brand sentiment across channels

    Earlier reputation visibility

    Teams track brand references to identify emerging positive or negative conversations early.

Best for: Fits when social teams need inbox-style monitoring with scheduled reporting and API access.

#9

Keyhole

SMB

Real-time hashtag and account analytics with social listening and event tracking.

6.8/10
Overall
Features6.8/10
Ease of Use6.8/10
Value6.8/10
Standout feature

Influencer and hashtag tracking that links creator activity to specific monitored campaign signals.

Keyhole is a social media listening tool focused on tracking branded keywords and campaign performance across major networks. Its core workflow centers on always-on monitoring, influencer and hashtag tracking, and time-based analytics for mentions and engagement.

Pros
  • +Query tracking centered on hashtags, keywords, and campaign URLs
  • +Influencer and profile monitoring geared toward brand attribution
  • +Mention analytics include growth over time for campaign readouts
  • +Reports can be scheduled and shared with stakeholders
Cons
  • –Advanced analysis depth is thinner than research-first listening suites
  • –Integration coverage beyond common workflow sharing is limited
  • –Less suitable for broad topic modeling across many concurrent themes
  • –Some insights depend on accurate query construction discipline
Use scenarios
  • Communications and PR teams

    Track defined brand terms over time

    Ongoing brand conversation visibility

  • Social media agencies

    Deliver recurring dashboard and exports

    Consistent client reporting

Show 2 more scenarios
  • Marketing teams

    Monitor hashtag campaigns by date window

    Time-based campaign performance

    Track hashtag engagement and visibility across the full campaign period.

  • Social media operations teams

    Receive alerts for engagement changes

    Faster spike identification

    Identify unusual mention and engagement movement across monitored queries.

Best for: Fits when marketing teams need ongoing hashtag and keyword monitoring for campaigns and creator-led tracking.

#10

Awario

SMB

Social listening and mention tracking with lead generation and sentiment analysis features.

6.5/10
Overall
Features6.5/10
Ease of Use6.5/10
Value6.5/10
Standout feature

Influencer identification built from resolved mention actors, so reporting can segment impact by people and not just keywords.

Awario focuses on social listening workflows that combine keyword tracking, sentiment scoring, and mention trend analysis for ongoing brand monitoring. It supports high-volume query monitoring with automated alerting, scheduled reporting, and integrations that push insights into team channels.

Pros
  • +Automated mention monitoring with alerting based on configured query rules
  • +Scheduled reports that reduce manual extraction for recurring stakeholder updates
  • +Entity resolution that improves attribution to people and accounts behind mentions
  • +Influencer identification workflows tied to mention data
Cons
  • –Advanced query refinement can take setup time for non-trivial boolean logic
  • –Dashboard customization requires careful configuration to match each reporting need
  • –Export and downstream formatting can require extra steps for standardized pipelines
  • –High throughput monitoring can increase query latency when many streams run together
Use scenarios
  • Operations and analytics teams

    Automate mention data into internal dashboards

    Faster data transfer workflows

  • Communications and social teams

    Prioritize issues using sentiment and alerts

    More structured review queue

Show 2 more scenarios
  • Support and customer response teams

    Route mentions into reusable reply flows

    More consistent customer handling

    Send fresh mentions into shared review views using alerts and templates for consistent public responses.

  • Brand and reputation managers

    Track reputation themes and complaints

    Earlier visibility into issues

    Monitor brand mentions and discussion themes to spot recurring concerns and complaints earlier.

Best for: Fits when teams need ongoing monitoring plus scheduled reporting with entity attribution for mention-driven workflows.

Conclusion

After evaluating 10 social media listening software, Brandwatch stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.

Our Top Pick
Brandwatch

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Social Media Listening Software

How do Brandwatch and Meltwater differ in how monitoring becomes scheduled executive reporting?
Meltwater centers recurring executive updates with automated report scheduling tied to cross-channel dashboards. Brandwatch focuses on governed projects with configurable topic clustering and API access for downstream workflow automation.
Which tools support API-based ingestion for custom pipelines and external analytics?
Brandwatch and Mention provide API access for extracting mention records into custom pipelines. Cision also supports integration depth through APIs, but its setup usually aligns with communications workflow ecosystems.
How do Slack and ticketing integrations show up in daily listening workflows?
Brandwatch routes monitoring outputs via Slack integration and Zendesk ticketing workflows. Sprout Social and Hootsuite also connect listening signals to support or moderation actions through internal channels and connected tools.
When does mention velocity matter more than keyword-only dashboards?
Brand24 emphasizes mention velocity to surface spikes that can indicate PR risk or campaign momentum. Awario still supports alerts and trend analysis, but its workflow typically emphasizes ongoing monitoring with entity-level processing over spike detection.
What breaks if a team needs governed access and audit trails across multiple users and exports?
Cision includes RBAC and admin auditing for query configuration and monitoring actions, which suits multi-team governance. Brandwatch also supports RBAC and audit trails, but teams that require approvals and controlled exports will still need consistent project permission practices.
Where does triage differ between YouScan and Mention when teams must act on individual mentions?
YouScan runs an inbox-style triage workflow with per-mention tagging and team assignment so actions can stay inside the listening tool. Mention also uses an inbox-first workflow, but it blends saved alerts and sentiment views to support scale and response-ready routing.
How does topic clustering compare with pure sentiment views for turning raw mentions into structured signals?
Brandwatch uses NLP-driven topic clustering paired with sentiment polarity scoring inside configurable dashboards. Cision similarly uses theme clustering with sentiment polarity scoring, while Mention focuses more on sentiment views and reviewable inbox grouping.
Which tools are better suited to campaign and hashtag tracking with query scoping?
Keyhole is built around branded keyword and campaign monitoring with influencer and hashtag tracking tied to specific monitored signals. YouScan and Brandwatch are stronger when research requires broader boolean query building and topic clustering across structured projects.
What tradeoff appears when listening must stay tightly coupled to publishing, moderation, and assignment?
Hootsuite connects listening streams to moderation and action queues inside its account management workflow. Sprout Social ties listening to a listening-to-response workflow with topic tagging that carries context into team actions, which can reduce flexibility for teams that need standalone research pipelines.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Social Media Listening Software

Options differ most in how they turn raw social mentions into usable insight—especially through historical data depth, sentiment coverage, and the way results move via API and automation. In practice, these choices decide whether you can trust findings and keep workflows current.

Historical data depth for investigations

Why it matters

Historical data depth matters when you need trend baselines, campaign comparisons, or root-cause checks after a change. If the backfill is thin, your conclusions can drift with time.

How to check

In a demo, ask for an example query and set the date window to the farthest lookback they support. Export or view results and confirm whether older posts appear consistently, not just recent spikes.

Multilingual sentiment coverage

Why it matters

Multilingual sentiment coverage matters if your audiences post in multiple languages or mix languages in one thread. Weak coverage produces misleading “positive/negative” patterns.

How to check

Provide a short set of example posts in the languages you care about and compare the sentiment labels shown by the product. Then filter by language (or location) and verify whether sentiment changes align with the sample text.

Data retention window and re-access

Why it matters

Data retention window affects whether saved projects stay reproducible during reporting cycles and audits. If data drops after a period, past reporting may not match current views.

How to check

Ask what happens to old results after months, using a saved query or dashboard view. Request a demonstration of reloading an older date range and confirm you can still export the same dataset.

API throughput and rate limits

Why it matters

API throughput and rate limits matter if you plan automation, scheduled pulls, or near-real-time dashboards. Hidden throttling can break workflows when mention volume rises.

How to check

In a demo, ask for a documented example API workflow and how it behaves under heavy mention volume. Use the product’s own sample settings (or propose a schedule) and confirm how it returns when results are large.

Automated report scheduling controls

Why it matters

Automated report scheduling controls matter when stakeholders expect consistent cadence without manual exports. If scheduling is limited or exports are inconsistent, the automation becomes fragile.

How to check

Create a scheduled report from the demo query and verify recipients, format, and time zone handling. Then change the date range or filter and confirm the next run uses the updated settings.

Dashboard configuration and saved views

Why it matters

Dashboard configuration and saved views matter because teams revisit the same monitors for weeks. If saved views are clunky or don’t keep the exact filters, day-to-day decisions get inconsistent.

How to check

Ask the demo to set up a saved view with specific filters (language, source, topic keywords) and then reload it later. Confirm the displayed metrics match the underlying query and that you can export the same view.

Red flags

  • It only shows strong results for recent dates, not older baselines.
  • Sentiment labels look inconsistent across the languages you use.
  • Exports or scheduled reports don’t reproduce the same filtered dataset.

Fit by situation

  • If you need multi-month trend baselines and retroactive checks, prioritize Historical data depth for investigations.
  • If your community posts in several languages, prioritize Multilingual sentiment coverage.
  • If you run scheduled reporting and want repeatable exports, prioritize Data retention window and re-access.
Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

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