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Data Science AnalyticsTop 10 Best Enterprise Web Analytics Software of 2026
Ranked comparison of enterprise web analytics software for enterprise teams, with tradeoffs and top picks like Mixpanel in a top 10 list.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
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Moz Pro is the right enterprise choice when you need governed search visibility tracking with crawl-based technical issue reporting, whereas Mixpanel fits product teams that want controlled, API-driven event analytics for retention, funnels, and engagement.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Moz Pro
Moz Pro link analysis with competitor comparison metrics for directing outreach to specific pages and domains.
Best for: Fits when enterprise teams need search visibility tracking, link intelligence, and crawl-based technical issue reporting.
Mixpanel
Editor pickBehavioral analytics with event-based cohort and retention analysis tied to an extensible ingestion and automation API.
Best for: Fits when enterprise product teams need controlled event analytics and API-driven workflows for retention and funnels.
Pendo
Editor pickIn-app guidance workflows that target users using Pendo analytics segments.
Best for: Fits when product and UX teams want analytics-driven guidance tied to governance and automation.
Comparison Table
Moz Pro
SMBSEO analytics platform for tracking search rankings and site authority.
Moz Pro link analysis with competitor comparison metrics for directing outreach to specific pages and domains.
Moz Pro combines keyword discovery with ongoing rank tracking, so teams can connect content changes to search visibility movements. Link analysis provides historical link metrics and competitor comparisons that are used for outreach targeting and acquisition program reviews. Site crawls surface on-page issues with a repeatable crawl workflow that supports backlog management and regression checks after fixes. For many enterprise teams, the reporting outputs are structured for recurring stakeholder updates rather than ad hoc event interrogation.
A key tradeoff is that Moz Pro does not replace product analytics systems that track user journeys with event-level sessionization logic and funnel attribution. Moz Pro fits best when the enterprise goal is search performance governance across multiple websites or teams that need consistent SEO reporting artifacts. It is also a stronger choice when SEO workflows can be measured primarily through rankings, crawl findings, and backlink metrics.
- +Keyword research and rank tracking share a single workflow
- +Link analysis supports competitor benchmarking for outreach prioritization
- +Site crawls produce repeatable issue reports for fixing and verification
- +Exportable SEO reporting reduces manual slide rebuilding
- –Limited event analytics coverage compared with analytics suites
- –Automation requires external workflows for advanced data destinations
- –Multi-site governance is less detailed than dedicated enterprise analytics tools
SEO program managers
Track keyword movement after content releases
Faster iteration on content priorities
Technical SEO teams
Run recurring audits after site changes
Reduced regressions in crawl health
Show 2 more scenarios
Digital marketing analysts
Benchmark link metrics against competitors
More focused acquisition efforts
Backlink and domain comparisons help select outreach targets and evaluate progress against peers.
Content operations leads
Produce stakeholder-ready SEO reporting
Lower reporting overhead
Exportable dashboards streamline recurring reporting without rebuilding metrics for each meeting.
Best for: Fits when enterprise teams need search visibility tracking, link intelligence, and crawl-based technical issue reporting.
Mixpanel
enterpriseEvent-driven analytics platform for measuring user engagement and retention.
Behavioral analytics with event-based cohort and retention analysis tied to an extensible ingestion and automation API.
Mixpanel’s core model is event-based reporting built around conversion event taxonomy, which helps teams stay consistent across multiple product areas. Analysis workflows connect to operational use through automation and extensibility via documented APIs for event tracking, backfills, and metadata updates. Admin and governance are handled through RBAC controls and audit logs that track changes at the workspace level.
A tradeoff appears when data quality depends on discipline in event naming and property mapping, since reporting quality degrades when events drift. Mixpanel works well when the team already has stable client and server-side instrumentation and needs recurring funnel and retention reporting for multiple stakeholders. It is a weaker fit when the organization only needs basic pageview reporting without a clear event taxonomy.
- +Event-level reporting supports cohorts, funnels, and retention at scale
- +APIs enable custom event ingestion, metadata changes, and automation workflows
- +RBAC plus audit logs support controlled enterprise administration
- +Multi-property filtering supports precise dimension drilldown
- –Event naming and property mapping drift directly harms dashboard accuracy
- –Complex funnels need careful configuration to avoid misleading attribution
- –Some advanced setups require engineering involvement for reliable rollout
- –Cross-system attribution still depends on consistent instrumentation choices
Product analytics teams
Measure activation and retention by cohorts
Lower churn after releases
Growth engineering teams
Automate messaging on funnel progression
Higher conversion from triggers
Show 2 more scenarios
Data governance teams
Control access to analytics workspaces
Reduced risk from unauthorized edits
Use RBAC and audit logs to manage who can change tracking definitions and dashboards.
Customer success analytics
Track onboarding milestones across segments
More reliable onboarding outcomes
Use event properties to segment users and monitor milestone completion over time.
Best for: Fits when enterprise product teams need controlled event analytics and API-driven workflows for retention and funnels.
Pendo
enterpriseProduct experience platform combining analytics with in-app guides and feedback.
In-app guidance workflows that target users using Pendo analytics segments.
Pendo’s enterprise value centers on instrumenting user behavior events, then reusing those segments for in-app experiences and operational feedback loops. Analytics outputs support drilldowns by user and event dimensions, while governance features like role-based access and auditability help restrict who can view and act on sensitive product telemetry. The system also supports integration with external tooling through documented APIs for provisioning, data sync, and automation workflows.
A key tradeoff is that Pendo’s data-to-experience workflow expects teams to invest in consistent event taxonomy and mapping, or else guided targeting becomes unreliable. Pendo fits best when product managers and UX teams need analytics-driven experiences across releases, not only dashboards for stakeholders.
- +In-app experiences use analytics audiences for context-specific guidance
- +Admin controls combine RBAC with access scoping across workspaces
- +Automation and API access support integrations with enterprise systems
- +Event-based segmentation supports targeted reporting and operational workflows
- –Event taxonomy work is required to keep targeting accurate over time
- –Real-time answers can lag behind heavy instrumentation and complex segments
- –Advanced configuration adds overhead for multi-team governance
- –Some reporting customization depends on disciplined setup by analytics owners
Product analytics teams
Turn behavior events into audiences
Cleaner cohort analysis and actions
UX and onboarding teams
Guide users based on actions
Faster onboarding iteration cycles
Show 2 more scenarios
Enterprise IT governance teams
Control access across departments
Reduced data exposure risk
Use RBAC and workspace scoping to restrict who can view analytics and create experiences.
RevOps and customer success teams
Measure feature adoption by accounts
More consistent adoption tracking
Assess adoption signals per segment and trigger operational follow-ups from those insights.
Best for: Fits when product and UX teams want analytics-driven guidance tied to governance and automation.
Contentsquare
enterpriseExperience analytics platform providing visual behavior metrics and zone-based heatmaps.
Behavioral clustering that groups users by interaction patterns to generate prioritized UX friction findings linked to conversion impact.
Contentsquare combines session replay with journey analytics to map user behavior to business outcomes across web experiences. It uses behavioral clustering and annotated visualizations to speed root-cause analysis for UX friction and conversion drops.
- +Journey analytics connects behavior patterns to conversion impact across pages
- +Session replay and visual annotations make friction diagnosis faster than raw events
- +Behavioral clustering reduces manual segmentation effort for UX issue triage
- +Enterprise reporting supports multi-site rollups for consolidated leadership views
- –Full value depends on disciplined instrumentation and conversion event taxonomy
- –Real-time dashboard latency can be constrained by ingestion and processing schedules
- –Automation workflows require careful permissions to prevent noisy analyst churn
- –Advanced configuration breadth can increase time-to-first-measurement for new teams
Best for: Fits when enterprise UX and analytics teams need journey-driven insights with repeatable troubleshooting workflows.
Amplitude
enterpriseProduct analytics platform focusing on user behavior events and conversion funnels.
Amplitude’s workflow for event taxonomy and analytics configuration helps teams keep funnels and segments consistent across workspaces.
Amplitude captures web and product behavior as event-level data and builds user journey analysis from those events. It supports cohorting, funnel analysis, and segmentation designed for feature adoption and conversion debugging.
- +Event-first analytics supports deep funnel and cohort analysis
- +Extensible schema management for event properties supports consistent taxonomy
- +Automation via API supports CI-style analytics releases and environment sync
- +Cross-team dashboards reduce time to diagnose feature adoption issues
- –Advanced modeling needs disciplined event naming and property mapping
- –Real-time dashboards depend on ingestion freshness and pipeline throughput
Best for: Fits when enterprise product analytics teams need event-level journey analysis with strong API integration and governance.
Google Analytics 360
enterprisePremium version of Google Analytics offering higher data limits and advanced tools for large enterprises.
Analytics 360 administration adds enterprise-focused RBAC and data controls for governed reporting across complex property structures.
Google Analytics 360 is positioned for enterprise web analytics teams that need tighter control of collection, governance, and reporting at scale. It extends the core Google Analytics data pipeline with additional admin capabilities, including role-based access, data retention controls, and enhanced support for large-property deployments.
- +Enterprise RBAC and administrative controls for multi-team access
- +Attribution and conversion reporting built around event-level measurement
- +Reporting and data APIs for scheduled exports and BI refresh
- +Supports large-scale rollups across multiple properties via account design
- –Modeling and governance require disciplined event taxonomy design
- –Real-time dashboards can feel limited for low-latency operational needs
- –Data exports and integrations add engineering effort for warehouse workflows
- –Debugging tracking issues depends on consistent tagging and naming conventions
Best for: Fits when enterprise teams need governed analytics at scale with API-driven exports and multi-team RBAC.
UXCams
vertical specialistMobile app analytics platform providing session replays and heatmaps.
Session and journey investigation workflows that connect behavioral segmentation directly to path and funnel outcomes.
UXCams is an enterprise web analytics product focused on session and user journey analysis plus recording-style investigations for web teams. Core capabilities include event tracking, funnel and path analysis, and behavioral segmentation for debugging UX issues and validating releases.
- +Strong journey analysis with session-centric views for UX troubleshooting
- +Funnel and path tooling supports faster diagnosis than basic dashboards
- +Multi-site configuration fits organizations running shared analytics programs
- +Event segmentation helps isolate behavior differences across cohorts
- –Event taxonomy work is needed to keep conversion reporting consistent
- –Advanced automation depends on external data pipelines for warehouse sync
- –Attribution logic requires careful configuration to match business definitions
- –Custom tracking changes can add friction without strict governance
Best for: Fits when product and marketing teams need session-level journey analysis with enterprise shared configuration.
Optimizely Web Experimentation
enterpriseEnterprise experimentation platform for web and server-side testing.
Project-level governance with environment separation that constrains who can publish which experiments to which surface.
Optimizely Web Experimentation focuses on A B testing workflows with governance controls geared for enterprise releases. It integrates experimentation with analytics measurement so teams can compare test cohorts, validate conversion event taxonomies, and route results into reporting pipelines.
- +Experiment workflows integrate with analytics measurement for consistent conversion attribution
- +Role-based project permissions support controlled publishing across teams
- +Environment separation reduces risk of cross-stage experiment configuration drift
- +Event and experiment linkage supports cohort comparison without manual dataset stitching
- –Experiment setup still requires disciplined event taxonomy and consistent dimension mapping
- –Advanced audience targeting can add complexity to release governance and QA cycles
Best for: Fits when enterprise teams need controlled A B testing releases with consistent measurement across multiple sites.
Glassbox
enterpriseDigital experience analytics platform offering session replay and customer journey mapping.
Experience investigation that links replay timelines to controlled event definitions for targeted debugging.
Glassbox captures user sessions across web applications and turns them into replayable behavior trails tied to analytics events. It combines experience analytics with performance visibility and root-cause investigation workflows for enterprise teams.
- +Session replays map to analytics events for faster root-cause triage
- +Admin controls support role separation for analytics and replay access
- +Event taxonomy controls reduce inconsistent reporting across teams
- +Extensibility via API supports warehouse and ticketing workflow integration
- –Governance setup requires disciplined event taxonomy design
- –Real-time reporting depends on instrumentation completeness across pages
Best for: Fits when enterprise teams need session replay investigation tied to controlled analytics events.
Adobe Analytics
enterpriseEnterprise-grade web analytics platform for tracking customer journeys across digital touchpoints.
Attribution built on Adobe Analytics conversion event taxonomy with multi-step reporting drilldown tied to Adobe measurement architecture.
Adobe Analytics fits enterprises that need regulated governance for high-volume web and app measurement with deep integration into Adobe’s marketing stack. It provides an attribution model built around Adobe Analytics’ event taxonomy, plus segmentation and drilldown for dimension-level analysis.
- +Enterprise RBAC and audit-friendly operational workflows for report and configuration control
- +Advanced attribution support based on Adobe Analytics conversion and event mapping
- +Strong segmentation and dimension drilldown for diagnosing funnel drop-off and variation impacts
- +Tight integration paths into Adobe Experience Platform for broader analytics and activation
- –Harder to operate without disciplined event taxonomy governance across teams
- –Some workflows require additional Adobe components to reach full automation coverage
- –Real-time dashboard latency can lag on heavy calculated metrics and large rollups
- –Implementation effort is higher when event structures must be retrofitted into existing reporting
Best for: Fits when large enterprises need governed attribution and deep segmentation across web and app data.
Conclusion
After evaluating 10 enterprise web analytics software, Moz Pro 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.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Enterprise Web Analytics Software
Enterprise web analytics software gives large organizations a governed way to measure user behavior, attribute conversions, and connect operational teams through integrations and automation. This guide covers Moz Pro, Mixpanel, Pendo, Contentsquare, Amplitude, Google Analytics 360, UXCams, Optimizely Web Experimentation, Glassbox, and Adobe Analytics. Each tool review focuses on integration depth, event and funnel configuration, and the admin controls teams use to prevent inconsistent measurement across workspaces.
Enterprise Web Analytics Software for governed, event-driven measurement and attribution
Enterprise web analytics software collects structured user interactions and turns them into governed reporting for multiple teams and properties. Mixpanel centers event-first configuration for funnels, cohorts, and retention, and it supports an automation and ingestion API that teams use to keep workflows consistent. Amplitude also emphasizes event-level journey analysis with schema management so event properties stay aligned across workspaces, which affects funnel correctness and segmentation accuracy.
Beyond event analytics, enterprise platforms often add governance controls for multi-team access and project separation. Google Analytics 360 delivers enterprise RBAC and administrative controls for reporting across complex property structures. Products like Contentsquare and Glassbox shift investigation toward journey or replay workflows, where disciplined conversion event taxonomy determines whether friction findings tie back to conversion impact.
Enterprise governance, integration, and event configuration that hold up at scale
Enterprise web analytics software becomes usable across teams only when configuration stays consistent after onboarding, releases, and measurement changes. The tools below were selected for integration depth, automation and API surface, and admin governance controls that reduce drift between workspaces.
Event-level analytics also needs predictable configuration mechanics so funnels, cohorts, and attribution calculations remain comparable over time. Mixpanel and Amplitude focus on event-first workflows that make taxonomy discipline a functional requirement, while Contentsquare and Glassbox shift the day-to-day work toward journey and replay investigation tied back to those controlled events.
API and automation surface for controlled ingestion
Mixpanel provides an extensible ingestion and automation API that supports custom event ingestion and automation workflows, which matters when multiple teams submit events. Amplitude also pairs deep event-first configuration with an API integration path so schema and analytics configuration can stay aligned across workspaces.
Event taxonomy and schema management to prevent funnel and cohort drift
Amplitude includes schema management workflow steps that teams use to keep funnels and segments consistent across workspaces. Mixpanel relies on event naming and property mapping accuracy, because event naming and property mapping drift directly harms dashboard correctness.
RBAC and workspace scoping for multi-team governance
Google Analytics 360 provides enterprise-focused RBAC and admin controls that support governed reporting across complex property structures. Pendo adds admin controls combining RBAC with access scoping across workspaces so in-app targeting and analytics audiences match the permissions model.
Journey and friction investigation workflows tied to conversion impact
Contentsquare generates prioritized UX friction findings using behavioral clustering and then links those insights to conversion impact through journey analytics. UXCams pairs session and journey investigation with funnel and path tooling so teams can connect session-level behavior to path and funnel outcomes.
Controlled replay investigation connected to analytics events
Glassbox ties session replays to controlled analytics events so root-cause triage can start from a measurable definition. Glassbox admin controls support role separation for analytics and replay access so investigation workflows do not broaden beyond the intended audience.
Search and crawl visibility plus competitor page link intelligence for web teams
Moz Pro is the outlier in this set because it targets search visibility tracking with link analysis and competitor comparison metrics. Moz Pro supports outreach direction by combining keyword research, rank tracking, and link analysis in a single workflow, which suits teams that need page-level visibility signals alongside behavioral analytics.
Experiment release governance and measurement alignment for multi-site teams
Optimizely Web Experimentation focuses on project-level governance with environment separation that constrains who can publish experiments to which surface. Optimizely Web Experimentation integrates experiment workflows with analytics measurement for consistent conversion attribution across teams and sites.
Choose based on how measurement configuration and governance work inside the product
The selection decision should start with how the organization manages event and conversion definitions across workspaces. Tools that center event-first configuration require disciplined event naming and property mapping, while tools centered on investigation workflows still depend on controlled conversion event definitions for correct attribution.
Next, governance should match the operating model for releases, experiment publishing, and replay or guidance access. Google Analytics 360 and Pendo emphasize RBAC and workspace scoping, while Optimizely Web Experimentation emphasizes project separation and permissions that constrain publication scope.
If teams must ingest custom events through automation, prioritize an API-first ingestion workflow
Select Mixpanel when the event ingestion and automation needs rely on an extensible ingestion and automation API with custom event ingestion and metadata changes. Select Amplitude when event-first analytics and schema management must stay consistent across workspaces while also supporting integration-driven workflows.
If measurement drift is the main risk, choose a tool that operationalizes schema or workflow governance
Select Amplitude when the organization needs schema management workflow steps that keep funnels and segments consistent across workspaces. Select Mixpanel when the organization can enforce event naming and property mapping discipline because drift directly harms dashboard accuracy.
If multi-team reporting access is the bottleneck, choose RBAC and admin controls built for enterprise structures
Select Google Analytics 360 when governed reporting needs enterprise RBAC and administrative controls across complex property structures. Select Pendo when governance must combine RBAC with access scoping across workspaces so analytics audiences and in-app guidance permissions align.
If the main job is friction diagnosis tied to outcomes, choose journey analytics or replay-first tooling
Select Contentsquare when teams need journey analytics that connects interaction patterns to conversion impact and then accelerates friction diagnosis using session replay and visual annotations. Select Glassbox when session replay investigation must map directly to controlled analytics events and when role separation for replay versus analytics must be enforced.
If the operating model includes governed experimentation releases, select a tool that constrains publishing scope
Select Optimizely Web Experimentation when release governance requires environment separation and role-based project permissions that limit which experiments can be published to which surfaces. Pair that governance model with analytics measurement alignment so conversion attribution stays consistent during experiment execution.
If search visibility and link intelligence drive the web program, keep Moz Pro in scope
Select Moz Pro when enterprise needs search visibility tracking and competitor link analysis for outreach prioritization, because Moz Pro concentrates on keyword research, rank tracking, and link intelligence rather than deep product event funnels. Use Moz Pro alongside event analytics when web teams need page-level visibility signals that behavioral analytics does not measure by itself.
Teams that benefit from governed enterprise measurement and investigation workflows
Enterprise web analytics software fits organizations where multiple teams share instrumentation responsibility and where dashboards must remain comparable across workspaces. It also fits teams that must connect behavior measurement to outcomes using funnels, cohorts, and conversion event definitions.
The set below maps tool behavior to specific operating roles so governance and configuration work match how work actually gets done.
Product analytics and growth teams running event-level funnels, cohorts, and retention programs
Mixpanel supports event-level reporting for cohorts, funnels, and retention at scale through APIs and event-based configuration. Amplitude supports deep funnel and cohort analysis paired with schema management workflows that keep segmentation consistent across workspaces.
UX research and conversion optimization teams using journey and friction diagnostics
Contentsquare links journey analytics to conversion impact and accelerates diagnosis with session replay and visual annotations. UXCams provides session-centric path and funnel tooling that supports faster troubleshooting than raw dashboards.
Enterprise governance owners who must control access to reporting and in-product targeting
Google Analytics 360 delivers enterprise RBAC and administrative controls that support governed reporting across complex property structures. Pendo combines RBAC with access scoping across workspaces so analytics segments and in-app guidance stay aligned with permissions.
Teams debugging customer behavior where replay must map back to controlled event definitions
Glassbox connects replay timelines to controlled analytics events so troubleshooting starts from measurable definitions. Glassbox admin controls separate replay access from analytics access to control who can investigate which sessions.
Enterprise experimentation programs that need environment separation and publishing permissions
Optimizely Web Experimentation constrains who can publish experiments to which surface using project-level governance with environment separation. Optimizely Web Experimentation also integrates experiment workflows with analytics measurement for consistent conversion attribution.
Common governance and configuration failures in enterprise web analytics deployments
Most enterprise failures stem from measurement drift, inconsistent conversion event definitions, and governance that does not match how teams actually publish or manage configurations. The mistakes below map directly to tool behaviors that require discipline.
When event taxonomy and configuration workflows are treated as optional setup work, dashboards degrade even when data collection is technically present. When replay or guidance access is not permissioned, investigation and targeting can bypass the controlled measurement model.
Allowing event naming and property mapping drift without enforcing a single taxonomy workflow
Mixpanel makes drift visible because event naming and property mapping drift directly harms dashboard accuracy. Amplitude also depends on disciplined event naming and property mapping for advanced modeling, because inconsistent properties break funnel and segment correctness.
Treating journey or replay outputs as independent from conversion event taxonomy work
Contentsquare depends on disciplined instrumentation and conversion event taxonomy for friction findings to tie back to conversion impact. Glassbox similarly relies on governance setup that requires disciplined event taxonomy design so replay investigation maps to the intended analytics events.
Using governance access patterns that do not align with workspace and role separation
Pendo requires admin controls that combine RBAC with access scoping across workspaces so in-app guidance targeting does not leak across groups. Google Analytics 360 also requires disciplined governance setup because modeling and governance depend on disciplined event taxonomy design for correct reporting.
Running experiment publishing without constrained environment separation and permissions
Optimizely Web Experimentation enforces project-level governance with environment separation, and ignoring that model leads to inconsistent releases across teams. Experiment setup still requires disciplined event taxonomy and consistent dimension mapping so conversion attribution remains correct.
How We Selected and Ranked These Tools
We evaluated Moz Pro, Mixpanel, Pendo, Contentsquare, Amplitude, Google Analytics 360, UXCams, Optimizely Web Experimentation, Glassbox, and Adobe Analytics across feature depth, enterprise usability, and operational governance. Features accounted for 40% of the score, and the remaining 30% was split between ease and value so both configuration effort and day-to-day usability affected the ranking.
Moz Pro received the highest overall score because link analysis and competitor comparison metrics for directing outreach to specific pages and domains formed a distinct enterprise workflow compared with event-first analytics tools. Mixpanel and Amplitude ranked highly when extensibility through API-driven workflows and controlled event configuration matched enterprise needs for consistent funnels, cohorts, and retention analysis.
Frequently Asked Questions About Enterprise Web Analytics Software
Which enterprise analytics tool handles event-level journey analysis with strong cohorting and funnel support?
When does Contentsquare’s journey analytics outperform pure event funnels for diagnosing conversion drops?
What breaks if analytics event taxonomies are inconsistent across sites and teams in enterprise deployments?
How do enterprise teams typically integrate web analytics data with warehouses and downstream reporting?
What tradeoff appears when organizations depend on session replay for root-cause analysis instead of event-only reporting?
How does SSO and RBAC show up in enterprise admin controls for analytics governance?
What data migration workflow matters most when moving measurement setups from one platform to another?
Which tool is best suited for web teams that need in-app or on-site guidance driven by analytics segments?
Where does measurement configuration governance fail if environments are not separated during release and experimentation?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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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