GITNUXSOFTWARE ADVICE
Data Science AnalyticsTop 9 Best Website Heat Map Software of 2026
Compare website heat map software options and their fit for usability testing, session insights, and UX research, including Plerdy and Lucky Orange.
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%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Plerdy is the best pick for SMB UX teams because its form analytics ties field friction to user behavior, letting you prioritize fixes by where people drop off, while Contentsquare is the enterprise alternative since its journey and segmentation analysis connects attention and clicks to funnel outcomes.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Plerdy
Form analytics ties input friction to user behavior so teams can prioritize fixes by field drop-off.
Best for: Fits when UX teams need heat maps and form insights without building custom tracking pipelines.
Lucky Orange
Editor pickRetroactive heat map generation turns earlier traffic into updated click and move maps after configuration changes.
Best for: Fits when teams need click and scroll heat maps tied to replay evidence for UX debugging.
Mouseflow
Editor pickReplay views show DOM-linked context so analysts can correlate exact UI element interactions with heat-map hotspots.
Best for: Fits when teams need heat maps plus session replays with GDPR controls for UI-focused debugging.
Comparison Table
Plerdy
SMBConversion rate optimization toolset with click heatmaps, scroll maps, and SEO auditing.
Form analytics ties input friction to user behavior so teams can prioritize fixes by field drop-off.
Plerdy’s core workflow starts with heat maps that show where people click and how far they scroll, then follows with playback so reviewers can verify whether recorded behavior matches the heat patterns. Form analytics surfaces field-level friction such as validation failures and abandonment points, which reduces the need to cross-check recordings manually. The configuration approach supports segmenting by device and page context, which helps isolate UX issues without building multiple tracking stacks.
A tradeoff is that advanced governance and extensibility depend more on UI configuration and tag placement than on programmable data controls. Teams that need fast instrumentation and quick UX triage usually fit best, while orgs expecting deep RBAC, audit log exports, or custom data schemas may find the admin surface limiting. Plerdy is a practical choice when the primary goal is improving conversion-critical pages like product forms or checkout steps using visual evidence.
- +Heat maps link to recordings for faster behavior validation
- +Form analytics highlights friction at specific fields and steps
- +Element-level selection improves mapping on dynamic layouts
- +Works within a tag-centric tracking setup for quick rollout
- –API and automation depth is limited for complex internal workflows
- –Advanced governance controls like RBAC and audit exports are not the focus
Conversion-focused product teams
Pinpoint checkout form abandonment
Higher completion rate on forms
UX research teams
Validate clicks with replays
Fewer misdiagnosed UI issues
Show 1 more scenario
Web analytics managers
Triage dynamic page interactions
Cleaner behavioral evidence for fixes
Configurable element mapping helps track interactions across changing DOM structures.
Best for: Fits when UX teams need heat maps and form insights without building custom tracking pipelines.
Lucky Orange
SMBConversion optimization suite featuring dynamic heatmaps, session recordings, and live chat.
Retroactive heat map generation turns earlier traffic into updated click and move maps after configuration changes.
Lucky Orange records mouse moves, clicks, and scroll behavior, then renders them as attention maps alongside session replays. The product also includes form and conversion-oriented analytics like funnel views and drop-off tracking to connect on-page friction to outcomes.
It supports retroactive analysis so earlier captured traffic can be revisited after tags and selectors are refined. Admin configuration focuses on tagging, consent controls, and governance options that affect what gets collected and how recordings are handled.
- +Retroactive heat maps and replays reduce re-tagging risk after selector fixes
- +Session replays include meaningful context to diagnose click and navigation issues
- +Form analytics surfaces field-level friction patterns without manual export steps
- +Attention map views make it easier to spot dead-click and rage-click clusters
- –Advanced event modeling for dynamic pages can require careful selector strategy
- –Audit-friendly administration relies on configuration discipline across environments
UX and product teams
Compare navigation behavior with session replays
Clear evidence for UX changes
Website owners and researchers
Match survey feedback to behavior
Fuller view of visitor needs
Show 2 more scenarios
Ecommerce product teams
Inspect click and checkout friction
Faster diagnosis of shopping issues
Teams review behavior across product, cart, and checkout steps to locate drop-offs in purchase paths.
Support and product teams
Triage usability complaints with replays
Quicker root-cause identification
Teams use replay filters and feedback to reproduce issues reported by visitors and validate fixes.
Best for: Fits when teams need click and scroll heat maps tied to replay evidence for UX debugging.
Mouseflow
SMBSession replay and heatmap tool with funnel and form analytics.
Replay views show DOM-linked context so analysts can correlate exact UI element interactions with heat-map hotspots.
Mouseflow combines click heat maps, session replay, and move-style tracking into a single workflow for diagnosing on-page friction. Heat maps can be filtered by device and traffic source, which helps separate layout issues from channel-specific behavior.
Session replays include DOM-context overlays, so analysis can map a user’s path to UI elements rather than only timestamps. Built-in consent controls and PII masking support GDPR-focused deployments where replay visibility must be constrained.
- +Click and move maps connect directly to individual session replays
- +Consent controls and PII masking reduce exposure risk in replay data
- +Segmentation by device and source helps isolate where behavior changes
- +DOM context in replays speeds up root-cause checks for UI issues
- –SPA route tracking needs careful configuration to avoid fragmented sessions
- –Advanced governance requires consistent tagging and permissions discipline
- –Higher sampling reduces heat map stability for low-traffic pages
- –Some custom workflows depend on add-on instrumentation effort
Support and customer experience teams
Identify friction in help journeys
Improved self-service completion
Privacy-conscious operations teams
Control what recordings capture
More controlled session collection
Show 2 more scenarios
Product and UX teams
Debug recurring interface issues
Faster root-cause analysis
Teams analyze replay timing and interaction sequences to find causes of repeated UX failures.
Website analysts and PMs
Spot patterns across many recordings
Focused investigation of key issues
Teams use aggregated views and engagement reporting to prioritize high-impact pages and behaviors.
Best for: Fits when teams need heat maps plus session replays with GDPR controls for UI-focused debugging.
Crazy Egg
SMBHeatmap and A/B testing platform with scroll maps and click tracking.
Move overlays connect mouse behavior to on-page elements to interpret intent behind click hotspots.
Crazy Egg is built around pixel-based tracking that produces click heat maps and scroll depth maps tied to specific page URLs. Mouse tracking and move overlays help interpret whether interaction patterns are deliberate or incidental. Session replay is available to validate whether heat map hotspots reflect intended flows or accidental clicks. URL targeting and device-type segmentation help keep analysis focused on the pages and environments that matter most.
- +Heat map views combine clicks, scroll depth, and mouse tracking in one workspace
- +Session replay adds narrative context for hotspots and confusing navigation
- +Zone-based analysis makes it easier to compare page segments across devices
- +Project scoping uses URL targeting to keep data focused
- –Accurate results require stable URL capture, especially on client-side routed pages
- –Configuration overhead increases when multiple audiences share similar page templates
Growth marketers
Diagnose landing page engagement gaps
Faster iteration on page layout
Product analysts
Validate onboarding navigation friction
Clearer fixes for user journeys
Show 2 more scenarios
UX designers
Review form interaction problems
Higher form completion rates
Inspect interaction hotspots to locate confusing fields and reduce dead-click patterns.
Web developers
Triage UI changes after releases
Reduced regression risk
Scope by URL to compare behavior before and after UI updates on targeted pages.
Best for: Fits when teams need visual interaction diagnostics across landing pages and forms.
Microsoft Clarity
SMBFree user behavior analytics tool providing heatmaps and session recordings.
Session replay renders DOM context that speeds root-cause checks for what users actually saw.
Microsoft Clarity captures attention patterns with click heat maps and scroll-based visualization, then links them to individual session replays for root-cause review. Session replays include DOM-based context so teams can correlate user actions with what was rendered at the time of the session. Lightweight setup focuses on adding a client-side tracking script and validating the events in the dashboard rather than configuring a data pipeline.
- +Click heat map and session replay are linked for fast investigation
- +DOM-context replays reduce guessing about what the user saw
- +Consent and privacy features are built into the capture workflow
- +Setup relies on a client-side tracking script with minimal engineering
- –Custom event schemas and automation depth lag behind API-first tools
- –SPA route coverage can require extra care with tagging discipline
- –Export and integration options are less granular than event pipelines
- –Real-time collaboration features are limited compared with enterprise suites
Product design teams
Diagnose broken click paths
Fewer dead-end interactions
Customer support analytics
Trace confusion during key flows
Lower ticket volume
Show 2 more scenarios
Web engineering teams
Validate UX changes after deploys
Reduced regression risk
Engineers compare behavior patterns and replay evidence after UI releases to confirm fixes.
Marketing operations
Check landing page engagement
Higher lead intent
Teams use engagement visualizations to see which elements attract clicks and attention.
Best for: Fits when UX teams need quick heat map and replay feedback without building analytics pipelines.
Inspectlet
SMBSession recording and heatmap platform with eye-tracking and scroll analysis.
Move maps combined with session replay show how attention shifts across areas, not just where clicks land.
Inspectlet pairs click and attention heat maps with full session replay so teams can connect misclicks to the exact behavior that followed. Zone-based heat maps and move maps help isolate interaction patterns inside key page components.
- +Zone-based heat maps make component-level reviews faster
- +Move maps clarify navigation paths that standard clicks hide
- +Session replay links heat map anomalies to exact user actions
- +PII masking and consent controls reduce exposure risk during analysis
- –Advanced targeting needs careful selector and DOM stability planning
- –Replay usefulness drops when sampling rates miss key moments
- –Attribution across A/B variants is limited without external workflow glue
- –Large session volumes can increase review overhead for analysts
Frontend developers and QA
Reproduce browser UX defects
More reproducible defect evidence
Growth, product, and marketing teams
Explain funnel abandonment points
Clearer conversion loss explanations
Show 2 more scenarios
Product managers and UX teams
Compare behavior before and after updates
Behavioral proof of improvement
Teams contrast session behavior and heatmap evidence to verify whether usability changes improved experience.
Customer support, product, and engineering
Investigate support-reported problems
More concrete issue triage
Teams examine recordings and interaction context to validate reported problems and support handoffs.
Best for: Fits when product and UX teams need heat maps plus replay to diagnose interaction problems in specific page zones.
Contentsquare
enterpriseEnterprise digital experience analytics platform with zone-based heatmaps and journey analysis.
Journey analysis that links attention and click behavior to funnel drop-off patterns across segmented audiences.
Contentsquare pairs click heat maps and scroll views with session replay and journey-style analysis for teams that need behavioral evidence for product and UX decisions. Its distinct angle is aggregation around user behavior across flows, with segmentation and conversion-focused attribution that ties observed actions to outcomes.
- +Integrates heat mapping with session replay for element-to-session investigation
- +Supports segmentation and funnel analysis tied to conversion outcomes
- +Provides strong governance for multi-team rollout and controlled access
- +Handles SPA-style navigation with route-aware tracking when configured
- –Best results require careful event tagging and page coverage planning
- –Element-level mapping can be brittle for highly dynamic DOMs
- –Realtime responsiveness depends on collection volume and processing throughput
- –Advanced automation workflows need extra setup versus simpler viewers
Enterprise digital experience teams
Review friction across brands and regions
Coordinated visibility on friction
Digital marketing and growth teams
Evaluate landing page conversion support
Better understanding of conversion drivers
Show 2 more scenarios
Experimentation and optimization teams
Assess test results with behavioral journeys
More consistent UX evaluations
Teams connect hypotheses and experiments to behavioral metrics and journey outcomes for consistency.
Product and UX teams
Pinpoint onboarding activation drop-offs
Clearer onboarding root-cause evidence
Teams combine funnel patterns with replay evidence to locate where new users struggle during onboarding.
Best for: Fits when teams need heat maps plus journey and attribution analysis for UX and conversion decisions.
Zoho PageSense
SMBConversion optimization and heatmap tool within the Zoho product ecosystem.
Attribution views connect heatmap interactions to configured conversion events for action-to-outcome reporting.
Zoho PageSense collects click, scroll, and session-replay data to visualize where attention shifts across pages. It provides site tagging through a client-side script and supports segmentation by key visitor attributes and device type for heatmap comparisons.
- +Heatmaps plus session replay in one workflow
- +Segmentation supports device-type comparisons for attention differences
- +Attribution views link interactions to configured conversion events
- +Zoho-style RBAC supports controlled team access
- –SPA route tracking needs careful selector and event mapping
- –DOM element matching can break when layouts change rapidly
Marketing and web teams
Compare attention across visitor segments
More targeted page improvements
Conversion optimization analysts
Connect clicks and scroll to conversions
Actionable conversion insights
Show 2 more scenarios
Web analytics administrators
Manage access across workspaces
Governed analytics access
Admins use role-based access and workspace configuration to control who can view collected data.
Product teams
Validate content placement through engagement
Better-supported content decisions
Teams track click and scroll shifts to evaluate whether page layout supports desired engagement.
Best for: Fits when teams need click and scroll heatmaps with replay and attribution controls inside Zoho governance.
Glassbox
enterpriseEnterprise digital experience analytics with session replay and interaction heatmaps.
DOM-derived region mapping that preserves heat map context across SPA route changes during replay review.
Glassbox pairs website performance heat maps with session replay, using a page-centric instrumentation approach to connect visual behavior to recorded user sessions. Heat map views are built around DOM-derived regions, which helps teams interpret attention around dynamic UI elements and forms.
- +Heat maps link directly to session replay for faster root-cause validation
- +Zone-based regions align with DOM structure for interpretable attention and clicks
- +PII masking and consent-oriented handling support privacy-focused investigations
- +SPA route tracking keeps replay and heat map context across navigation
- –Dynamic element coverage depends on correct selector stability across releases
- –Advanced governance controls require careful setup to avoid data loss
Digital product and CX teams
Reconstruct cross-platform journeys
Behavior-based journey performance view
Product, UX, and engineering teams
Check whether fixes improved outcomes
Evidence fixes improved experiences
Show 2 more scenarios
Customer support and CX teams
Share reproducible experience evidence
Faster resolution of support cases
Teams review journey evidence to understand reported problems and speed up cross-team investigations.
Web engineers and site reliability teams
Correlate UX symptoms with backend activity
Improved diagnosis of production issues
Teams link user-facing issues with timing, errors, and backend request activity to diagnose real-user problems.
Best for: Fits when product and growth teams need click and attention heat maps tied to replay for SPA behavior diagnosis.
Conclusion
After evaluating 9 website heat map software, Plerdy 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 Website Heat Map Software
This buyer's guide covers website heat map software used for click heat map, scroll depth map, and mouse-tracking heat map workflows across Microsoft Clarity, FullStory, and Hotjar alongside eight other tools. The tool reviews that come before this guide focus on what teams can measure on real pages and what analysts can verify inside session replay views.
Microsoft Clarity is positioned as the top overall option for DOM-context session replay that speeds root-cause checks, while Hotjar and FullStory are evaluated for how their replay and heat views support investigation without brittle tagging. Each recommendation section also accounts for integration depth, automation surface, and governance controls when those capabilities are part of the reviewed product scope.
Website Heat Map Software for click, attention, and replay-based UX diagnostics
Website heat map software aggregates on-page interaction signals into attention heat maps and click density views, then ties those visuals to session replay so teams can confirm what users actually saw. Most tools also support scroll depth mapping and interaction overlays like move maps, which help explain navigation intent behind hotspots rather than treating clicks as isolated events.
Microsoft Clarity is a strong fit when DOM-context session replay is the priority because linked DOM context reduces guessing during root-cause checks. Hotjar and FullStory are considered in the same workflow because their heat and replay pairing determines how quickly teams can validate whether an attention pattern comes from a specific UI element or a SPA route behavior change.
Website heat map evaluation criteria
The category rewards heat maps only when they connect to session replay evidence so teams can validate what users actually saw. That connection determines how quickly click heat map or scroll depth map findings turn into root-cause checks.
This guide also weights governance and automation features when they exist in the reviewed scope. It matters because teams often run multiple sites, multiple SPA routes, and multiple experiment variants where tag discipline and replay consistency can break investigations.
DOM-context session replay linkage
Microsoft Clarity ties heat patterns to session replay views that render DOM context, which speeds root-cause checks for what users actually saw. Smartlook uses DOM snapshot-based replay that stays aligned across SPA navigation, which also supports route-level traceability.
Move maps and intent across hotspots
Inspectlet combines move maps with session replay so attention shifts across page zones are visible, not only click landings. Crazy Egg uses move overlays to connect mouse behavior to on-page elements, which helps interpret intent behind click hotspots.
Form analytics tied to friction and field drop-off
Plerdy’s form analytics highlights friction at specific fields and steps so UX teams can prioritize fixes by field drop-off. Contentsquare links attention and click behavior to funnel drop-off patterns across segmented audiences so form engagement can be tied to conversion outcomes.
SPA route coverage and replay continuity
Crazy Egg requires stable URL capture on client-side routed pages, which affects how reliably click and mouse tracking remains consistent across routes. Glassbox preserves heat map context across SPA route changes during replay review using DOM-derived region mapping, which reduces context loss during route transitions.
Consent controls and replay privacy controls
Mouseflow includes consent controls and PII masking so replay data exposure risk is reduced while debugging UI interaction. Microsoft Clarity prioritizes DOM-context replay for faster investigation, which reduces guesswork even when governance controls are not the primary differentiator.
How to choose Website Heat Map Software
Start with the investigation workflow because each product card describes a different speed path from heat pattern to verified user behavior. Then select the governance depth required for the team running tagging and replay.
The decision framework below uses product-specific differentiators drawn from the reviewed cards. Each step branches to a different product philosophy based on whether the workflow is DOM-context replay driven, replay privacy and consent driven, or funnel and attribution analysis driven.
Choose the replay style that matches the DOM variability on key pages
If the highest-value work needs DOM-context root-cause checks, Microsoft Clarity renders DOM context inside linked session replay views to reduce guessing about what users saw. If SPA navigation alignment is the deciding factor, Smartlook uses DOM snapshot-based replay that stays aligned across SPA route navigation in heat views.
Pick the interaction interpretation layer: move overlays or zone regions
If intent behind hotspots needs mouse-behavior interpretation, Crazy Egg overlays move behavior onto on-page elements so teams can connect pointer patterns to click hotspots. If component-level zone review needs faster attention reads, Inspectlet uses zone-based heat maps paired with move maps so attention shifts across areas are easier to compare.
Decide whether friction diagnostics must include field-level form drop-off
If UX teams need input friction prioritized by where users stop entering data, Plerdy provides form analytics that highlights friction at specific fields and steps. If teams must connect behavior to funnel drop-off across segmented audiences, Contentsquare links heat mapping with journey analysis for element-to-session investigation.
Select for SPA tracking discipline versus built-in continuity behavior
If tagging governance can ensure stable URL capture on client-side routed pages, Crazy Egg can produce accurate results with correct URL capture discipline. If route-to-route continuity must be preserved during replay review with fewer changes to selector strategy, Glassbox’s DOM-derived region mapping keeps heat map context across SPA route changes.
Apply the privacy and consent controls that match replay exposure risk
If replay data needs consent controls and PII masking for UI-focused debugging, Mouseflow includes consent controls and PII masking to reduce exposure risk. If replay-linked DOM context is the priority for fast investigation with linked evidence, Microsoft Clarity emphasizes DOM-context replays that reduce guessing about the observed interaction.
Match the analytics depth required: attribution views or retroactive re-tag resilience
If conversion attribution must be viewable directly from heat interactions, Zoho PageSense provides attribution views that connect heatmap interactions to configured conversion events. If the workflow includes frequent selector fixes and retag risks, Lucky Orange generates retroactive heat maps so earlier traffic gets updated click and move maps after configuration changes.
Who Website Heat Map Software is for
Website heat map software is best when the heat view can be validated against session replay evidence so teams can act on confirmed user behavior. The biggest differentiators in this list are DOM-context replay alignment, move or zone interpretation layers, and whether replay privacy controls are prioritized.
Teams also differ in whether they need journey and attribution analysis or field-level form friction. The best choice depends on how the team plans to run investigations and how strict replay governance must be.
UX and product teams running DOM-heavy investigation loops
Microsoft Clarity is designed for fast root-cause checks because linked DOM-context session replay reduces guessing about what users actually saw. Smartlook supports SPA-heavy journeys because DOM snapshot-based replay stays aligned across SPA navigation in the heat-linked views.
Landing page and funnel optimization teams focused on interaction intent
Crazy Egg uses move overlays that connect mouse behavior to on-page elements so intent behind click hotspots is easier to interpret. Contentsquare adds funnel drop-off context by linking attention and click behavior to journey patterns across segmented audiences.
Teams debugging form friction and conversion loss at specific inputs
Plerdy targets field drop-off with form analytics that highlights friction at specific fields and steps. Zoho PageSense supports action-to-outcome reporting by tying heat interactions to configured conversion events through attribution views.
Privacy-sensitive UI teams reviewing session replay at scale
Mouseflow includes consent controls and PII masking that reduce replay exposure risk for UI-focused debugging. Lucky Orange supports retroactive heat map generation so teams can correct selector strategy without immediately re-tagging every session.
Common mistakes when buying Website Heat Map Software
Teams often buy heat map features and then fail to validate whether the tool preserves evidence quality across the actual pages that matter. SPA navigation, dynamic DOM behavior, and replay governance discipline can turn heat maps into misleading visuals.
The pitfalls below are tied to specific behaviors described in the reviewed product cards. They show what breaks investigations and how to prevent it with the right selection path.
Choosing a tool for heat visuals while underestimating SPA route breakage during replay review
Crazy Egg can require stable URL capture on client-side routed pages to keep accurate tracking and results. Glassbox reduces heat context loss during replay review by using DOM-derived region mapping across SPA route changes.
Assuming retroactive re-tag resilience covers dynamic selector issues without additional selector strategy work
Lucky Orange can regenerate retroactive heat maps after selector fixes, but advanced event modeling for dynamic pages can still require careful selector strategy. Smartlook also needs dynamic element selector configuration to stay aligned across frequently changing UIs.
Relying on click heat maps alone when field-level friction is the real conversion blocker
Plerdy provides form analytics that connects input friction to user behavior by field drop-off so teams can target specific inputs. Contentsquare is better when friction must be tied to funnel drop-off patterns across segmented audiences rather than just field behavior.
Ignoring replay privacy constraints and then discovering that governance controls are not aligned with review workflows
Mouseflow includes consent controls and PII masking to reduce exposure risk in replay data. Microsoft Clarity emphasizes DOM-context replays for investigation speed, so it does not replace the need to confirm replay governance controls when privacy requirements are strict.
Overfocusing on advanced governance controls when the main bottleneck is automation and event design depth
Plerdy’s cards highlight limited API and automation depth for complex internal workflows, so automation-heavy teams can hit integration ceilings. Microsoft Clarity’s cards note that custom event schemas and automation depth lag behind API-first tools, so automation needs should be checked against the team’s integration plan.
How We Selected and Ranked These Tools
We evaluated Microsoft Clarity, Hotjar, FullStory, and the other reviewed heat map tools on features, ease, and value using the observed heat map and session replay workflows described in the tool cards. Features account for 40% of the ranking because click and scroll heat maps become actionable only when linked evidence supports element-level or route-level investigation.
Ease/value each account for 30% of the ranking because teams need fast heat-to-replay feedback loops that do not stall on brittle configuration. Microsoft Clarity separated on the specific ability to render DOM context in session replay so UX teams can confirm what users saw during root-cause checks.
Frequently Asked Questions About Website Heat Map Software
How do Hotjar and Microsoft Clarity differ in how teams move from click hotspots to what users actually saw?
Which tool handles SPA navigation better for session replay alignment during route changes?
When should a team choose FullStory over session-replay-only workflows for attention analysis?
What data model differences affect whether move maps or attention maps stay readable on dynamic pages?
Where does Crazy Egg fall short compared with Contentsquare for attribution and journey analysis?
How do Zoho PageSense and Glassbox handle governance for multi-team deployments?
Which tool provides form analytics tied to user behavior drop-off and dead clicks?
What tradeoff appears when using event sampling controls like those in Inspectlet?
How do teams typically deploy tracking snippets and tag-based instrumentation across multiple sites with Hotjar and Smartlook?
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 →
- Data Science AnalyticsTop 10 Best Website Heat Mapping Software of 2026
- Data Science AnalyticsTop 10 Best Geographical Heat Map Software of 2026
- Manufacturing EngineeringTop 10 Best Heat Maps Software of 2026
- Data Science AnalyticsTop 10 Best Website Tracking Services of 2026
- Customer Experience In IndustryTop 10 Best Website Chat Services of 2026
Keep exploring
Comparing two specific tools?
Software Alternatives
See head-to-head software comparisons with feature breakdowns, pricing, and our recommendation for each use case.
Explore software alternatives→In this category
Data Science Analytics alternatives
See side-by-side comparisons of data science analytics tools and pick the right one for your stack.
Compare data science analytics tools→