GITNUXSOFTWARE ADVICE
Data Science AnalyticsTop 9 Best Click Analytics Software of 2026
Compare click analytics software options and what they track, with tradeoffs for teams choosing tools like Mouseflow, Clarity, and Mixpanel.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Mouseflow is the best choice for product and UX teams that need replay-backed proof for page and form fixes because its form analytics pinpoints where users drop off at specific fields, while Mixpanel fits enterprise teams that want clickstream funnels and automation since its event workflow ties clicks to cohorts and triggers actions via API conditions.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Mouseflow
Form analytics records field-level behavior so drop-off causes can be localized to specific inputs.
Best for: Fits when product and UX teams need replay-backed interaction evidence for page and form fixes.
Microsoft Clarity
Editor pickTherage-click detection highlights frustrated interaction clusters inside recorded sessions.
Best for: Fits when product teams need replay evidence and quick behavior summaries to guide UX fixes.
Mixpanel
Editor pickMixpanel automation rules that trigger actions from event and user property conditions via API extensibility.
Best for: Fits when product teams need clickstream event tracking, funnels, and API-driven automation in one workflow.
Comparison Table
Mouseflow
SMBWebsite behavior analytics software with click maps, scroll maps, session replay, and funnels.
Form analytics records field-level behavior so drop-off causes can be localized to specific inputs.
Mouseflow’s core workflow centers on session replay and page-level interaction overlays so analysts can jump from heatmap hotspots to the underlying sessions. Form analytics records user behavior inside multi-step and single-page forms, which helps isolate validation friction rather than treating forms as a single funnel step. The tool supports event capturing for click-level questions and can export collected data for offline analysis.
A common tradeoff is that deep replay review can create governance overhead when many teams need access to sensitive session content. Mouseflow fits best when product, UX, and growth teams run frequent landing-page and form iterations and need fast qualitative confirmation alongside quantitative signals.
- +Session replay plus heatmaps link behavior to exact on-page moments
- +Form analytics pinpoints drop-offs at specific fields and steps
- +Click tracking workflows support campaign tagging use cases
- +Data export supports handoff to analysis and reporting tools
- –Replay review needs access controls to avoid exposing sensitive interactions
- –Higher-volume traffic can make manual session triage time-consuming
- –Advanced event setups require careful configuration across pages
- –Some deeper analysis flows depend on exported datasets
Product UX teams
Debug landing page confusion
Faster design iteration cycles
Growth and marketing teams
Attribute CTA engagement by campaign
Clearer CTA performance decisions
Show 2 more scenarios
RevOps and analytics teams
Troubleshoot form conversion leakage
Reduced form abandonment
Form analytics highlights where users abandon fields and where validation blocks progress.
Customer support operations
Reproduce user-reported issues
Quicker issue root cause
Session replay captures the exact steps users took during a problematic flow.
Best for: Fits when product and UX teams need replay-backed interaction evidence for page and form fixes.
Microsoft Clarity
SMBFree behavioral analytics platform with click heatmaps, session recordings, and rage-click detection.
Therage-click detection highlights frustrated interaction clusters inside recorded sessions.
Microsoft Clarity is distinct for its focus on replay-driven qualitative review alongside quantitative page behavior views. The product captures interactions such as clicks, scroll movement, and errors so analysts can correlate confusion points with user friction. Its integration with Microsoft ecosystems is mainly practical through the tracking script and data handling options rather than deep workflow tooling.
A key tradeoff is governance and structured analytics depth compared with click analytics suites that emphasize heavier segmentation and multi-touch attribution work. Clarity fits well for teams that need fast feedback loops on landing pages and in-product pages where replay evidence helps prioritize fixes.
- +Session replay shows real click sequences with contextual page interaction
- +Heatmap views summarize engagement without building custom dashboards
- +Rage click indicators highlight frustration hotspots on specific page areas
- +Straightforward data export supports offline analysis workflows
- –Attribution depth for conversion paths is less granular than specialist suites
- –Structured event modeling needs careful tag discipline to stay consistent
- –Advanced segmentation can feel limited versus analytics-first products
Product designers and UX teams
Validate form friction during onboarding
Faster iteration on flow fixes
Marketing analysts
Diagnose landing page interaction gaps
Clearer landing page priorities
Show 1 more scenario
Web engineering teams
Debug broken UI event handling
Reduced regression time
Session evidence ties user actions to page behavior so teams can reproduce interaction failures quickly.
Best for: Fits when product teams need replay evidence and quick behavior summaries to guide UX fixes.
Mixpanel
enterpriseEvent analytics platform that analyzes clicks, funnels, retention, cohorts, and user journeys.
Mixpanel automation rules that trigger actions from event and user property conditions via API extensibility.
Mixpanel fits teams that need clickstream event tracking plus product analytics workflows, not just session-level heatmaps. It centers on event-based instrumentation, funnels, and cohort-style analysis, with dashboards that update from tracked events.
Mixpanel also supports automation and an extensible API surface for exporting data and triggering external systems. For governance, it offers workspace controls that help manage access to properties and project activity.
- +Event-based tracking maps product behavior to funnels and cohorts
- +Automation rules can act on user and event criteria
- +API and webhooks support data export and external workflow triggers
- +Strong segmentation over tracked properties for targeted analysis
- –Instrumentation schema design requires upfront event and property planning
- –Attribution across complex journeys needs careful event taxonomy
Product managers and analytics teams
Retention cohorts by acquisition and lifecycle attributes
Clear view of group retention
Product teams and feature owners
Measure event-based feature adoption
Evidence of ongoing feature usage
Show 2 more scenarios
Lifecycle marketing and customer success
Track engagement from first action
Earlier at-risk user detection
Monitor behavior from initial tracked event to identify repeat usage and early churn signals.
Marketing and growth teams
Campaign-to-product conversion measurement
Behavior-based campaign performance
Connect campaign-linked entry events to later conversion actions using event-based tracking.
Best for: Fits when product teams need clickstream event tracking, funnels, and API-driven automation in one workflow.
Amplitude
enterpriseProduct analytics platform for click events, user paths, funnels, retention, and experimentation.
Amplitude’s event taxonomy and cohort analysis connect interaction clicks to product behavior changes over time.
Amplitude works best when click behavior must be analyzed with a broader product event vocabulary, not only measured as page and link interactions. Its segmentation and cohort analysis let teams compare groups over time, and its conversion funnel capabilities connect engagement to downstream actions. Configuration can stay in the analytics layer when event definitions and mappings are maintained as code-driven artifacts.
- +Event-centered analysis ties click interactions to product outcomes
- +Cohort and segmentation support multi-week behavior comparisons
- +API and webhook surfaces enable automated instrumentation pipelines
- +Replay helps correlate segment-level metrics to concrete sessions
- –Event modeling requires setup discipline to avoid inconsistent funnels
- –Link and page click workflows can feel heavier than click-only tools
- –Advanced governance and definitions increase admin overhead
- –Attribution outcomes depend on how events and identifiers are defined
Product analytics teams
Analyze UI click path changes
Pinpoints behavior changes by release
Growth marketing teams
Validate campaign-driven engagement
Improves conversion attribution decisions
Show 2 more scenarios
Web engineering teams
Automate instrumentation updates
Reduces instrumentation drift
Teams use API-driven event pipelines to keep analytics definitions aligned with deployments.
Customer experience teams
Investigate rage clicks and friction
Identifies friction causes in-session
Teams filter replay sessions by segment and event patterns tied to key flows.
Best for: Fits when product teams need click interactions analyzed with cohort and funnel context.
Matomo
enterprisePrivacy-focused analytics platform with click tracking, event reports, heatmaps, and session recording.
Analytics exports and reporting through a full API that supports automated data pulls and configuration for multiple properties.
Matomo pairs clickstream tracking with first-party analytics control through on-premise or self-hosted deployment options. It turns event collection into configurable dashboards, segmentation, and attribution reports tied to sessions and campaigns.
- +Self-hosted and on-premise deployment supports full data ownership workflows.
- +API enables automated report retrieval and integration with internal tooling.
- +Segment and attribution reports connect event data to sessions and campaigns.
- +Consent-aware tracking options reduce exposure when consent states change.
- –Tracking implementation requires careful tag governance across properties.
- –Real-time interaction coverage is narrower than dedicated heatmap-first suites.
- –Advanced configurations can add operational overhead for analytics admins.
- –Dashboard customization takes longer than in UI-first click analytics tools.
Privacy-conscious organizations
Consent-aware click analytics with self-hosting
Higher control over data retention
Product and engineering teams
Cohort and funnel analysis on events
Behavioral insight on interactions
Show 2 more scenarios
Web and digital analytics teams
Traffic reporting by referrers and devices
Clear acquisition and usage patterns
Monitor visitors, sessions, content performance, and traffic trends across multiple sites.
Ecommerce and digital commerce teams
Ecommerce conversion attribution by source
Shopping behavior attribution reports
Track ecommerce actions and relate product interactions to acquisition sources for conversion reporting.
Best for: Fits when analytics teams need on-prem control, API-driven reporting, and deep segmentation without giving up governance.
Inspectlet
SMBWebsite analytics tool with session recordings, heatmaps, click tracking, and form analytics.
Rage-click and dead-click detection flags interaction failures inside the click analytics workflow.
Inspectlet records session replays and pairs them with click-level analytics to connect what users do with what users view. The product captures events like rage clicks and dead clicks, then overlays those signals on page-level performance views.
- +Click analytics tied to session replay context for faster root-cause review
- +Rage click and dead click detections surface interaction friction quickly
- +Segmentation and filter controls support targeted triage of user cohorts
- +Invalid traffic filtering reduces noise in replays and click counts
- –Advanced reporting depends on consistent event naming and tagging discipline
- –Automation and API depth are narrower than tools built around extensive event pipelines
Content, marketing, and web teams
Clicks and scrolling validated by replays
Better page effectiveness understanding
Ecommerce, web, and engineering teams
Debug forms and checkout multi-step journeys
Faster checkout problem identification
Show 2 more scenarios
Product managers and UX teams
Validate UX changes with before-after behavior
Behavioral proof of improvement
Compare session behavior and replay evidence after usability updates to confirm experience improvements.
Product operations and support teams
Find sessions matching a newly discovered issue
Broader view of incident frequency
Use retrospective filters and behavioral segments to locate sessions that match a problem pattern.
Best for: Fits when product and CX teams need click analytics plus session replay for rapid UX debugging without heavy data engineering.
Plausible Analytics
SMBPrivacy-friendly web analytics software with outbound link, download, goal, and custom event tracking.
Event and link tracking with first-class campaign tagging and a documented API for automation of click attribution data.
Plausible Analytics focuses on lightweight clickstream tracking that emphasizes clear, privacy-first reporting over heavy behavioral instrumentation. It captures link clicks and page views with event tags, then organizes reporting around campaign parameters so teams can measure landing-page performance and click-to-open patterns.
- +Quick to deploy with minimal JavaScript changes for core page tracking
- +Event and link tracking supports custom click attribution with campaign tagging
- +API and webhooks enable reliable export into internal dashboards and pipelines
- +Clear dashboards with fast filtering for landing pages and campaigns
- –Limited session replay and heatmap depth compared with dedicated UX tools
- –Advanced attribution and multi-touch workflows require careful manual event design
- –Automation depends on API and webhook consumers, adding operational overhead
- –Requires ongoing tag governance to keep event naming consistent
Website owners and marketing teams
Concise dashboards for landing page performance
Quick read on site performance
Product and growth teams
Event-based funnels for step conversion
Step-level drop-off visibility
Show 2 more scenarios
Marketing and product stakeholders
Share routine KPI dashboards without complex build
Faster access to KPIs
Use focused dashboards to review core web metrics for recurring decisions across teams.
Digital marketers
Referral analysis for traffic source clarity
Clear day-to-day source visibility
Check which referrers and acquisition sources bring visitors and view their landing-page activity.
Best for: Fits when teams want lightweight click attribution and campaign reporting without deploying heavy session replay tooling.
Crazy Egg
SMBWebsite optimization software with click heatmaps, scroll maps, recordings, and A/B testing.
Heatmap and click-map overlays tied to per-URL views make it fast to validate landing-page iteration outcomes.
Crazy Egg delivers click analytics built around heatmaps and click maps that visualize where users interact on specific pages. It pairs visualizations with session replay-style playback so teams can connect heatmap hotspots to individual behaviors.
- +Click maps highlight interaction hotspots at the page and element level
- +Session playback helps explain why clicks spike after specific UI changes
- +Campaign tagging and link tracking supports source comparisons with UTM parameters
- +Data exports make it easier to reuse click findings in internal reporting
- –Attribution depth stays limited compared with multi-touch models
- –Requires disciplined tagging because mis-tagged links distort click attribution
- –Event tracking coverage depends on what elements the tag can capture
- –API extensibility and automation surface are narrower than enterprise click analytics suites
Growth, marketing, and product teams
Detect form steps that cause abandonment
Specific steps to simplify
Web designers and UX researchers
Compare attention across page sections
Evidence for layout changes
Show 2 more scenarios
Ecommerce and conversion teams
Find checkout friction with recordings and click data
Clearer checkout friction signals
Review clicks, scrolling, recordings, and form behavior across checkout pages to pinpoint friction.
Digital marketing teams
Compare destination behavior by traffic source
Aligned campaign and landing insights
Tag campaigns and track link clicks to segment behavior by traffic source on destination pages.
Best for: Fits when mid-size teams need page-level click visualization and actionable session playback without advanced attribution modeling.
Lucky Orange
SMBConversion analytics platform with dynamic heatmaps, session recordings, live visitor views, and chat.
Lucky Orange combines click tracking with goal reporting so click patterns can be reviewed in the context of completed goals.
Lucky Orange captures on-site behavior with session replay, heatmaps, and click analytics that track unique and total clicks by page. It pairs visual feedback with event-based reporting so teams can connect interactions to targeted pages and funnels.
- +Session replay plus click heatmaps in one workflow
- +Click reporting distinguishes unique clicks from total clicks
- +Goal tracking supports funnel-style evaluation across key pages
- +API and webhooks support automation around captured events
- –Advanced click attribution setups can take iteration
- –High-volume sites may require careful event and retention planning
Ecommerce teams
Inspect product, cart, and checkout journeys
Better visibility into shopping problems
Growth and UX teams
Pinpoint where visitors fail form submission
More specific form drop-off fixes
Show 2 more scenarios
Website owners and research teams
Combine surveys with observed behavior
Fuller view of visitor needs
Collect survey, poll, form, or chat feedback and compare it against recordings and heatmaps.
Product and UX teams
Observe onboarding struggles during signup
Improved onboarding drop-off understanding
Follow recordings and event views to identify where users struggle during signup or early feature adoption.
Best for: Fits when product teams want click-level visibility tied to goals using replays, with automation via API and exports.
Conclusion
After evaluating 9 click analytics software, Mouseflow 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 Click Analytics Software
Click analytics software turns raw clicks and link interactions into usable visibility for UX, product, and marketing workflows, with session replay and heatmaps forming the most common path from metrics to fixes. This guide covers Mouseflow, Microsoft Clarity, and the rest of the top ten click analytics options to compare what each tool can record, how it attributes, and how it supports automation.
The shortlist also includes Amplitude, Matomo, Inspectlet, Mixpanel, Smartlook, Crazy Egg, Lucky Orange, and Plausible Analytics. The comparison focuses on integration depth through API and event configuration, plus operational control via admin governance patterns like access controls and tagging discipline.
Click Analytics Software that records interaction events and attributes clicks to outcomes
Click analytics software captures clickstream tracking signals such as unique clicks and total clicks, then maps those interactions to pages, elements, and sessions for debugging and optimization. Many tools also add session replay so teams can inspect real click sequences and contextual behavior rather than only reviewing aggregates.
Mouseflow pairs heatmaps with session replay and form analytics to localize drop-off causes to specific inputs, which fits teams that need field-level interaction evidence. Microsoft Clarity centers on frustrated interaction detection with therage-click detection so UX teams can triage clustered click friction inside recorded sessions while keeping page-level summaries available without heavy custom reporting.
Click attribution coverage, replay linkage, and automation surfaces
Click analytics tools are only actionable when click attribution survives beyond page-level heatmaps into sessions and events. The best products connect interaction signals to either replay timelines or to event-based analysis so teams can move from “where users clicked” to “what changed and why”.
Evaluation should also account for how the product handles governance and throughput at scale. Tools vary sharply in how they expose automation through API, how they support report retrieval, and how much event and tag discipline they require to keep attribution consistent.
Replay depth tied to click sequences and form steps
Mouseflow records click interactions alongside session replay and adds form analytics so drop-off causes can be localized to specific fields and steps. Microsoft Clarity links real click sequences to its recorded session context using therage-click detection for fast UX triage.
Event taxonomy with cohorts and funnel analysis tied to clicks
Amplitude uses event-centered modeling so click interactions can be analyzed with cohort and funnel context across multi-week behavior changes. Mixpanel supports clickstream event tracking with funnels plus automation rules that trigger actions from event and user property conditions.
On-prem control with API-driven reporting and multi-property governance
Matomo supports self-hosted and on-premise deployment with analytics exports and a full API for automated report retrieval. That design suits teams that need deep segmentation without relinquishing data ownership workflows.
Friction signals for failed clicks using replay context
Inspectlet flags rage clicks and dead clicks so interaction failures surface as explicit friction indicators inside the click analytics workflow. Microsoft Clarity instead highlights frustrated interaction clusters inside recorded sessions using therage-click detection.
Event-synchronized replay plus heatmap and scroll diagnostics
Smartlook synchronizes session replay with tracked events so teams can jump from event metrics to the exact sessions. Lucky Orange pairs replay and click heatmaps with goal reporting so click patterns can be reviewed alongside completed goals.
Landing-page click-map validation with element overlays
Crazy Egg provides heatmap and click-map overlays tied to per-URL views so landing-page iteration outcomes can be validated quickly. Mouseflow complements replay-backed investigation with form analytics when the priority is field-level drop-off localization.
Pick by workflow fit: replay-first debugging, event-first product analytics, or governance-first analytics
The decision path starts with which artifact teams will operate on most. Replay-first teams need synchronized session timelines that surface click context and friction signals, while event-first teams need event modeling that stays consistent across funnels and cohorts.
The second fork is automation and data access. Tools with API and export mechanisms fit teams that automate reporting, build dashboards in-house, or integrate click attribution outputs into other systems.
Choose replay-first tools when the fix depends on what happened inside sessions
Mouseflow fits when product and UX teams need replay-backed evidence and form analytics that localizes drop-offs to specific fields and steps. Microsoft Clarity fits when therage-click detection helps summarize frustrated click clusters inside recorded sessions.
Choose event-first tools when clicks are an input to funnels and long-horizon behavior
Amplitude fits when click interactions must be tied to cohort and funnel behavior changes over time through event taxonomy. Mixpanel fits when clickstream event tracking must drive automation rules that act on user and event criteria via API extensibility.
Choose governance-first deployment when data ownership and automated reporting matter
Matomo fits when analytics teams need self-hosted or on-premise deployment with API-driven automated report retrieval across multiple properties. This path also reduces dependency on external data handling for internal governance workflows.
Pick friction detection features based on how failures show up in user behavior
Inspectlet fits when click failures appear as rage clicks and dead clicks that should be flagged directly inside the session review loop. Microsoft Clarity fits when clusters of frustrated interactions inside sessions are the most useful summary for quick UX fixes.
Match automation scope to integration expectations and event setup tolerance
Smartlook fits when event tracking and session replay must stay synchronized so teams can jump between metrics and sessions without manual log hunting. Amplitude and Mixpanel fit when teams accept event modeling and taxonomy planning to keep attribution consistent across funnels.
Select landing-page validation tools when rapid page iteration beats deep journey attribution
Crazy Egg fits when per-URL click-map overlays and element-level heatmaps are the fastest way to validate landing-page changes. Plausible Analytics fits when lightweight event and link tracking is enough for campaign reporting without deep replay and heatmap depth.
Who Click Analytics Software fits and which teams get the fastest value
Different teams use click analytics software as either a debugging instrument or an analytics input. Replay-first tools work best when the main question is why users behaved a certain way, while event-first tools work best when clicks must be an input to product performance measurements.
Governance requirements and integration targets also determine fit. On-prem and API-heavy implementations suit analytics teams with internal reporting pipelines, while replay-linked UX teams usually need faster interpretation of sessions and interaction friction signals.
Product and UX teams fixing form friction
Mouseflow adds form analytics that pinpoints drop-offs at specific inputs and steps while session replay and heatmaps connect those inputs to what users did before failure.
Product analysts running click-to-outcome measurement with funnels
Amplitude and Mixpanel both treat click interactions as event inputs, with Amplitude emphasizing cohort and segmentation for multi-week comparisons and Mixpanel enabling automation rules from event and user property conditions.
Analytics teams that need on-prem deployment and automated exports
Matomo supports self-hosted and on-premise deployment plus an API that enables automated report pulls and configuration across multiple properties.
CX teams triaging interaction failures quickly
Inspectlet surfaces rage-click and dead-click detection so failure modes show up as explicit indicators inside the session review loop.
Growth teams validating landing-page changes by visual click distribution
Crazy Egg ties heatmaps and click-map overlays to per-URL views so landing-page iteration outcomes can be validated against where clicks concentrate after UI changes.
Common click analytics mistakes that break attribution and slow down fixes
Click analytics fails most often when event and tag discipline is inconsistent or when teams overestimate how much attribution depth a tool can deliver. Many tools can show where users clicked, but only some provide deep conversion-path attribution without careful instrumentation.
Another recurring issue is replay review access control. Session replay improves debugging speed, but sensitive user interactions can become visible during triage when role-based access and workflow governance are not enforced.
Treating replay review as a free-for-all without access controls
Mouseflow’s replay-based investigation needs access controls to prevent sensitive interactions from being exposed during manual session triage.
Letting event modeling drift across teams so funnels no longer match
Amplitude requires event modeling discipline so interaction events map to consistent funnels rather than diverging into contradictory definitions over time.
Underestimating the setup burden of structured event schemas
Microsoft Clarity uses structured event modeling that requires careful tag discipline to keep interaction and attribution consistent across recorded sessions.
Expecting deep conversion-path attribution from tools that focus on page-level visuals
Crazy Egg’s click-map and heatmap approach provides fast landing-page validation, but attribution depth stays limited compared with multi-touch models for complex journeys.
Building automation on top of inconsistent naming and tagging
Inspectlet’s advanced reporting relies on consistent event naming and tagging discipline, or rage-click and dead-click detections will not align cleanly with downstream reports.
How We Selected and Ranked These Tools
We evaluated Mouseflow, Microsoft Clarity, and the other eight tools on feature coverage at the click-to-replay or click-to-event level, then measured ease of getting usable click analytics quickly. Features counted for 40% of the score and ease/value each counted for 30% to reflect how much setup and iteration time teams typically need.
Mouseflow separated itself through form analytics that localizes drop-offs to specific fields and steps, and that capability combines with session replay and heatmaps to support direct debugging instead of only aggregate inspection. The ranking also considered operational fit such as how review workflows depend on access controls and how higher-volume traffic changes the effort required to triage recorded sessions.
Frequently Asked Questions About Click Analytics Software
How do Hotjar-style replay tools compare with event-first platforms like Amplitude for click analytics?
Which products provide API integration suitable for automated reporting and data provisioning?
How does click attribution differ between link and campaign-tag approaches in tools like Plausible and Crazy Egg?
What breaks if click analytics relies only on heatmaps and ignores invalid traffic handling?
When does Smartlook’s event-to-replay synchronization matter for debugging funnels?
How do admin controls and access management differ across Smartlook and Mixpanel?
How should teams plan data migration when moving between self-hosted and cloud analytics setups?
What tradeoff appears when choosing a privacy-first lightweight tracker like Plausible instead of replay-heavy suites?
Where do Contentsquare-like journey investigations fall short if the event and taxonomy model is not configured?
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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