Quick comparison
The fastest way to distinguish the products is to compare organizational scope rather than count overlapping features.
Contentsquare now brings together capabilities associated with the former Hotjar and Heap products. Hotjar's heatmaps, recordings, and surveys sit under Contentsquare, while Heap's capabilities are presented as Contentsquare Product Analytics.
Fullstory concentrates its commercial structure around Analytics. Replay, heatmaps, funnels, journeys, segmentation, metrics, and technical evidence sit in that comparison, while Mobile, Guides and Surveys, StoryAI, and multi-organization management are listed as additions.
The result is not advanced platform versus basic replay. Both are substantial analytics products. The choice is whether the organization wants to coordinate a broad experience-intelligence program or optimize a focused product-investigation workflow.
Enterprise experience intelligence, or focused investigation
Contentsquare
Broad enterprise experience intelligence
Shared, and close in depth
Fullstory
Focused product and UX investigation
A programme many teams run A tool one team investigates with
The shared middle is wide enough that capability lists will look similar. The deciding factor is how many teams need to operate the thing, and who governs it.
Replay, journeys, and behavioral analysis
Fullstory generally offers the more direct product-investigation loop, while Contentsquare connects comparable analysis to a broader journey and business-impact model. Both go beyond replay-only analysis, and neither turns a recording into proof of user intent or causality.
| Investigation task | Contentsquare | Fullstory | What it means |
|---|---|---|---|
| Find relevant sessions | Filter replays from journeys, pages, segments, frustration, feedback, performance, and errors. Eligible plans add AI summaries. | Behavioral search, user filters, events, segments, playlists, and the session event stream make retrieval central. | Fullstory has an edge for ad hoc session hunting; Contentsquare is strong when investigation begins elsewhere in its suite. |
| Compare successful and unsuccessful segments | Build behavioral segments and compare paths, zones, feedback, errors, and impact. | Create segments from properties, event sequences, funnels, metrics, and outcomes, then compare replay. | Both support comparative investigation instead of watching random sessions. |
| Analyze journeys | Journey Analysis visualizes movement through sites and apps and compares segments. | Journeys and Page Flow examine paths; some advanced conversion capabilities depend on plan. | Contentsquare emphasizes enterprise journey visualization; Fullstory keeps paths close to product analytics and replay. |
| Investigate users | User and segment context spans Experience Analytics and the temporarily separate Product Analytics application. | User profiles collect properties, sessions, events, and behavioral history in one investigation surface. | Fullstory's user investigation usually feels more direct within one application. |
| Model companies | Custom variables support segmentation; Product Analytics Pro and Enterprise add Account-Based Analytics. | Custom properties can carry account identifiers and traits. | Neither core experience workflow begins with account adoption, penetration, and usage distribution. |
| Move from metric to replay | Journeys, heatmaps, feedback, errors, performance, and impact analysis open relevant replay evidence. | Metrics, funnels, friction signals, technical events, and segments lead directly to matching sessions. | Both connect quantitative and qualitative evidence; Fullstory's tighter product loop is its main workflow advantage. |
| Interpret heatmaps | Click, tap, hover, scroll, zones, and business metrics provide page and commercial context. | Click, scroll, conversion, and element maps stay close to sessions and behavioral segments. | Heatmaps identify observable patterns, not intent or root cause. |
| Collaborate and share | Projects, teams, reports, exports, data feeds, and enterprise services support broad programs. | Spaces, templates, dashboards, alerts, sharing, integrations, and exports support investigation teams. | Test governance and object ownership with the real team structure. |
| Investigation question | Contentsquare | Fullstory | What this means |
|---|---|---|---|
| Funnels | Available in Experience Analytics and the deeper Product Analytics application. | Core Analytics capability linked to segments and replay. | Confirm whether the organization needs page-oriented conversion analysis, product-event funnels, or both. |
| Behavioral cohorts | Advanced segments and Product Analytics cohorts support behavioral comparison. | Segmentation, retention, trends, segment health, and event sequences support cohorts. | Either can compare onboarding, adoption, and drop-off groups when identity is trustworthy. |
| Frustration or issue signals | Frustration Score, repeated interactions, errors, performance, and impact prioritization. | Sentiment signals, rage clicks, errors, slow pages, and StoryAI opportunities where licensed. | Use signals to select evidence, not to declare a proven cause. |
| Research workflow | Replay connects to surveys and feedback. Interviews and User Tests remain only for existing paying customers. | Behavior-led research plus contextual surveys and guides through an add-on. | New Contentsquare buyers need specialist moderated-interview and usability-testing tools. |
Fullstory keeps a product designer in one analytical loop longer; Contentsquare extends the work into monitoring, feedback, ecommerce, and impact. Compare product analytics tools and session replay with product analytics.
Replay shows captured behavior, not intent or causality. See how to select recordings, what replay captures, and the UX research workflow.
Five steps from a signal to a validated conclusion
1
Measurable signal
A rate or step that moved, with its period and denominator
2
Affected segment
Which users, companies, devices or routes are involved
3
Replay evidence
Sessions selected from that segment, successes included
4
Technical or direct feedback
Errors and timing, or asking the people affected
5
Validation
Prevalence and outcome, measured against step 1
Sequence is not proof of causality
Both products cover steps 2 to 4 well. Starting at step 3 — opening recordings before defining the signal — produces vivid stories that no measurement supports.
Heatmaps, performance, and customer evidence
Contentsquare wins on adjacent experience breadth; Fullstory is strongest where behavioral evidence and technical replay remain in one focused workflow.
| Capability | Contentsquare | Fullstory | Practical boundary |
|---|---|---|---|
| Web performance | Strong Experience Monitoring connects slowdowns and web or app performance with journeys and business impact. | Available Page-speed context and replay help diagnose affected sessions. | Neither replaces complete infrastructure observability or distributed tracing. |
| Frontend errors | Strong JavaScript and API-related errors connect to affected behavior and impact. | Strong Errors and replay-linked DevTools support technical investigation. | Validate framework coverage and source-map behavior. |
| Console or network context | Available Technical details and network or error evidence sit within Monitoring and replay workflows. | Core Console, network, errors, and performance sit directly beside replay. | Fullstory has the more developer-familiar replay diagnostic workflow. |
| Form or journey analysis | Strong Journey Analysis, funnels, Form Analysis, zones, and impact. | Strong Funnels, Journeys, Page Flow, event sequences, and conversion analysis. | Both require stable page and event definitions. |
| Surveys | Strong Basic surveys in the free Experience Analytics entry plus the separate VoC product. | Available Guides and Surveys add-on. | Check response allowances, targeting, mobile coverage, and retention. |
| Feedback | Strong Feedback widgets, survey analysis, replay links, and wider VoC workflows. | Available Contextual in-app surveys and NPS through the add-on. | Fullstory feedback is useful but narrower than a broad VoC suite. |
| Voice of Customer | Core Surveys and feedback form a distinct area; Interviews and User Tests are legacy-only for existing paying customers. | Limited Contextual surveys do not equal a complete VoC and research platform. | New Contentsquare buyers need specialist tools for interviews and usability testing. |
| Mobile experience | Strong Web and mobile analytics, replay, errors, and unified SDK direction. | Strong, add-on Native mobile analytics and replay are commercially separate. | Run a framework-specific proof of concept. |
| Accessibility-related insight | Available or adjacent Accessibility-oriented segments, resources, and behavioral evidence exist. | Not primary Replay may support investigation but is not an accessibility-testing system. | Continue specialist automated and manual accessibility testing. |
| Merchandising or ecommerce | Strong, plan or add-on dependent Merchandising and revenue-oriented analysis are documented. | Available, not primary Ecommerce behavior, Shopify support, revenue properties, and integrations exist. | Contentsquare has the clearer dedicated merchandising surface. |
| Product analytics | Strong Former Heap capabilities, Account-Based Analytics on Pro and Enterprise, and cross-session analysis. | Strong Funnels, metrics, journeys, retention, segments, dashboards, and replay. | Contentsquare currently has a transitional application boundary. |
| Support and engineering integrations | Strong Integrations, APIs, data feeds, Monitoring, and professional support. | Strong Integrations, webhooks, APIs, Anywhere, exports, and support workflows. | Compare the exact ticketing, observability, warehouse, and identity systems. |
Fullstory should no longer be described as having no surveys. Its Guides and Surveys add-on connects in-product guidance, NPS or survey responses, behavioral targeting, and associated sessions. It remains narrower than a complete enterprise Voice-of-Customer platform.
Fullstory's public mobile wording is transitional: the product page calls the overall Guides and Surveys product web-only while separately listing mobile Surveys for Flutter, React Native, native iOS, and native Android. Confirm each content type and framework in writing.
Enterprise implementation, governance, and privacy
Both products can meet serious enterprise governance requirements, but implementation quality—not vendor branding—determines whether replay, identity, and access are safe and useful.
| Area | Contentsquare | Fullstory | What to verify |
|---|---|---|---|
| SDK and implementation effort | Web tag and mobile SDK work, page groups, mappings, identity, product selection, privacy rules, and potentially several modules or applications. | Web snippet or SDK, Fullcapture, Pages, identity and properties, privacy rules, definitions, Mobile add-on, and integrations. | Test SPAs, iframes, canvases, WebGL, shadow DOM, mobile frameworks, cross-tab behavior, and releases. |
| Data model and taxonomy | Experience-oriented page groups, zones, journeys, Product Analytics events and profiles, and Account-Based Analytics on higher tiers. | Pages, events, elements, users, properties, segments, funnels, journeys, metrics, and spaces. | Define a canonical page, event, identity, and company model before rollout. |
| Likely owner | Central digital-experience, analytics, ecommerce, UX, or transformation team. | Product analytics, UX, product operations, support, or engineering-enabled analytics team. | Name one accountable owner and separate data, privacy, and research responsibilities. |
| Multi-team administration | Projects, teams, roles, regional project management, and enterprise services. | Spaces, roles, organization administration, and optional Multi-Org Management. | Test brand, product, region, agency, and least-privilege boundaries. |
| Role-based access | Project and team access with plan-dependent roles and advanced permissions. | Role-Based Access Control is listed in the plan comparison. | Verify object, data, export, replay, and administrative permissions. |
| SSO | SAML-compatible SSO is documented for Pro and Enterprise. | SAML SSO, JIT, role mapping, and Enterprise SCIM are documented; SCIM is currently Okta-only through a custom SAML application. | Verify identity provider, provisioning, deprovisioning, guest access, and break-glass administration. |
| Audit logs | Product Analytics Enterprise lists activity logs; a narrower audit log covers defined personal-data exposure actions. | Audit Trail APIs preserve privacy and settings changes; scope differs from a broad UI activity log. | Ask for event inventory, access method, retention, and export. |
| Data residency | Regional deployment and multi-region project management are documented; exact behavior depends on implementation. | US is default; an EU option is separate, requested, and does not automatically receive historical migration. | Confirm storage, processing, support access, subprocessors, migration, and recovery. |
| Retention | Analytics and replay access vary by product and plan; higher tiers can extend replay access. | FullstoryFree lists 12 months of analytics retention; paid replay and product-analytics retention are subscription-specific. | Put analytics history, replay history, exports, backups, and deletion timing in the order form. |
| Deletion | Data-subject and deletion workflows vary by product; confirm coverage across replay, analytics, surveys, profiles, and exports. | Admins can delete users, individual sessions, and supported segment or date-range session sets; exports need separate governance. | Test the complete deletion workflow and propagation. |
| Masking | Web and mobile masking, page exceptions, network URL masking, and plan-specific controlled exposure are documented. | Exclude, Mask, and Unmask rules, form privacy, consent-based capture, and mobile masking are documented. | Use stable selectors, code review, regression checks, and production validation. |
| Excluded routes | URL targeting and page-level masking rules can prevent or limit collection. | Domain restrictions, URL privacy rules, capture settings, and element rules can limit collection. | Inventory admin, billing, impersonation, authentication, health, and personal-data routes. |
| Support and professional services | Dedicated support and SLAs appear at Enterprise; implementation commonly forms part of the program. | Onboarding, Insights+, Data+, and Advantage services are listed. | Distinguish required onboarding from optional consulting in the quote. |
| Procurement complexity | Products, plans, sessions, responses, replay capture and retention, mobile, projects, exports, and services may be separate choices. | Analytics tier, captured sessions, retention, Mobile, Guides and Surveys, StoryAI, Multi-Org, Anywhere, and services affect the package. | Build a line-item bill of materials and renewal-growth model. |
A replay platform can be configured unsafely even when it offers strong privacy controls. Inventory credentials, free text, sensitive data, internal routes, query strings, console values, request bodies, identifiers, consent states, regions, retention, access, deletion, exports, and support impersonation.
This is an implementation and governance comparison, not a legal-compliance score. Use the session replay privacy checklist during technical and legal review.
Which teams the platform is expected to serve
Contentsquare
Fullstory
Hymetry
Product and UX
Core audience
Primary audience
Account-shaped questions
Marketing and content
Merchandising and content analysis
Narrower
Not offered
Engineering
Technical evidence available
Investigation handoff
Not the focus
Support
Case investigation
Case investigation
Visit lookup only
Enterprise governance
Wide multi-team programme
Present, narrower scope
Smaller surface to govern
Customer success
Needs a company-level model
Needs a company-level model
Companies, Users, adoption, Visits
The customer-success row is the shared gap: reliable company-level analysis depends on a data model, not on a replay feature. No vendor integration is implied between these products.
Pricing and customer feedback
Contentsquare has a more visible self-serve entry, while both become custom enterprise procurements once modules, traffic, mobile, retention, governance, and services matter.
Published entry pricing
Contentsquare pricing
$0 to custom
Currency is EUR in Europe and USD elsewhere. The 20% annual discount applies to in-app card or PayPal payment, not invoice payment.
Permanent free entry
Fullstory pricing
30,000 monthly sessions
Business, Advanced, and Enterprise prices are not public. Mobile, Guides and Surveys, StoryAI, Multi-Org, data products, and services can change the quote.
G2 snapshot
Contentsquare reviews
G2 snapshot
Fullstory reviews
| Product | Free plan or trial | Public entry model | Billing unit | Retention | Mobile packaging | Analytics packaging | Enterprise model | Main cost drivers | Customer rating |
|---|---|---|---|---|---|---|---|---|---|
| Contentsquare | Experience Analytics Free at $0; Voice of Customer Free; Product Analytics has a limited free tier behind a sales-led entry. | Experience Analytics Growth: 49/month monthly or 39/month equivalent paid yearly. Voice of Customer Growth: 99/month monthly or 79/month equivalent paid yearly. Currency is EUR in Europe and USD elsewhere. | Analytics sessions, replay-capture rules, VoC responses, products, projects, and services. | Experience Analytics lists one month on Free and 13 months on Growth, Pro, and Enterprise. Replay begins at one month Free and two months Growth, with longer options higher up. | Plan and product dependent; verify web, native-app, and SDK requirements. | Mix Experience Analytics, Voice of Customer, and Product Analytics; Product Analytics remains temporarily separate. | Custom pricing for Pro and Enterprise. | Sessions, products, replay capture and retention, projects, mobile, monitoring, merchandising, feeds, services, and support. | 4.6/5 · approximately 640 reviews — G2. |
| Fullstory | Permanent FullstoryFree with no card, 30,000 monthly sessions, 12 months of analytics retention, core replay/basic analytics/debugging, and up to 10 users. | No public paid starting price for Business, Advanced, or Enterprise. | Captured sessions and contracted package; verify server events, retention, activation, warehouse, and other quotas. | FullstoryFree lists 12 months of analytics retention; paid replay and product-analytics retention are contract specific. | Mobile Analytics is an add-on. | Analytics includes replay, heatmaps, funnels, journeys, segmentation, metrics, and DevTools. Guides and Surveys, StoryAI, Mobile, and Multi-Org are additions. | Custom pricing. | Captured sessions, retention, Mobile, Guides and Surveys, StoryAI, Multi-Org, Anywhere, exports, services, and support. | 4.5/5 · approximately 1,050 reviews — G2. |
Do not compare Contentsquare's 200,000 free analytics sessions with Fullstory's 30,000 free captured sessions as identical allowances. Contentsquare lists aggregate analytics for up to 200,000 monthly sessions but replay capture at 5%, capped at 10,000.
Contentsquare's Product Analytics pricing page contains different history descriptions between its cards and detailed rows. Do not silently reconcile them; rely on the written order form for procurement.
| Product | Common praise | Common criticism | What the reviews suggest |
|---|---|---|---|
| Contentsquare | Granular visual analysis, heatmaps and zoning, journey insight, and useful UX and conversion evidence. | Complex features, mapping and setup effort, data or interface complexity, and a meaningful learning curve. | A mature program with defined questions, taxonomy, training, and ownership gets more value. |
| Fullstory | Session replay, intuitive behavioral access, troubleshooting context, support, and detailed interactions. | Advanced-workflow learning curve, configuration effort, limits or session management, and price sensitivity. | Basic replay is approachable; deeper analytics and enterprise use still require training and governance. |
Do not treat the rating decimal as the verdict. Customer mixes, review histories, plans, roles, and product eras differ. These themes are a qualitative sample, not a controlled sentiment analysis.
Pricing due-diligence checklist
Normalize currency, commitment, session definition, replay capture, overages, retention, projects, users, mobile, AI, feedback quotas, exports, support, services, discounts, and termination terms. Do not compare a starting price with an undefined enterprise quote.
Which one fits your scenario?
The deciding variable is usually the operating model, not a single feature checkbox. These recommendations are starting points for a proof of concept, not endorsements.
| Scenario | Recommended starting product | Companion tool if needed | Reason | Main caveat |
|---|---|---|---|---|
| Enterprise digital-experience program | Contentsquare | Observability, experimentation, warehouse, and research systems | Its wider platform connects journeys, replay, heatmaps, monitoring, VoC, mobile, and ecommerce. | Product and plan boundaries increase implementation and procurement complexity. |
| Product designer investigating onboarding | Fullstory | Experimentation or research repository | Segments, funnels, journeys, replay, heatmaps, and DevTools create a direct loop. | Direct feedback and wider research may require Guides and Surveys or another tool. |
| UX-research team | Contentsquare plus a specialist research platform | Research repository, interview, and prototype-testing tools | Surveys, feedback, replay, journeys, and enterprise experience evidence support a broad program. | New customers cannot purchase Contentsquare Interviews or User Tests; only existing paying customers may retain them. |
| Ecommerce organization | Contentsquare | Commerce analytics, experiments, and financial data | Zone analysis, journeys, impact, performance, VoC, and merchandising fit a broad ecommerce program. | Higher-value capabilities may sit in separate products, additions, or enterprise plans. |
| Team already using Amplitude or Mixpanel | Fullstory | Keep the trusted product-metrics system | Add replay, heatmaps, behavioral search, and technical context without replacing primary metrics. | Avoid duplicate funnels, definitions, identity logic, and conflicting numbers. |
| Engineering team needing technical evidence | Fullstory | Error monitoring, traces, logs, and APM | Console, network, errors, page speed, sessions, and user behavior sit close together. | It does not replace complete observability or backend diagnostics. |
| Mobile-app team | Fullstory for a product-led pilot | Crash reporting and mobile observability | Native replay and behavioral analytics support a focused mobile workflow. | Mobile is an add-on; verify SDK, framework, masking, fidelity, and performance impact. |
| B2B customer-success team needing company context | Contentsquare Product Analytics if Account-Based Analytics fits | Hymetry, warehouse, CRM, or CS platform | It is the closer starting point of the two. | Test multi-user adoption, penetration, concentration, company attributes, and CSM workflows rather than assuming completeness. |
Compact enterprise B2B scenario
AtlasCloud is a fictional illustrative company, not a Hymetry customer or vendor case study. It sells enterprise B2B SaaS through a public marketing site and authenticated web and mobile product. Several users work in each customer company; onboarding is complex; Reporting completion is declining; one region has performance problems; users repeatedly click one button; direct feedback exists; customer-success teams need account context.
| Investigation step | Contentsquare | Fullstory | Additional evidence or system |
|---|---|---|---|
| Identify the affected journey | Compare the Reporting path by region, device, segment, and outcome with Journey Analysis or Product Analytics. | Build a Reporting funnel or Journey and compare completion by platform, region, property, and event sequence. | Stable definition, release timeline, and trusted denominator. |
| Find relevant sessions | Filter replay from the failed journey, errors, slowdowns, frustration, feedback, or affected segment. | Open sessions from failed funnels, segments, rage clicks, errors, page speed, or user profiles. | Confirm capture coverage and retention. |
| Compare successful and failed users | Compare journeys, zones, cohorts, segments, and impact between completers and non-completers. | Compare behavioral segments across metrics, journeys, heatmaps, and replay. | Identity rules plus plan, role, region, and lifecycle attributes. |
| Inspect heatmaps | Examine the Reporting button, content, and conversion impact with zone heatmaps. | Use click, scroll, or conversion maps for the relevant page and segment. | Current DOM or screen fidelity and stable element definitions. |
| Inspect performance | Connect regional slowdowns and errors to journeys and business impact with Experience Monitoring. | Use replay-linked page speed, console, network, and error evidence. | APM, traces, logs, infrastructure, and release data. |
| Collect direct feedback | Use surveys and feedback widgets. Existing paying customers may use legacy Interviews or User Tests; new buyers need a specialist tool. | Use Guides and Surveys for contextual questions and linked sessions. | Support cases, research notes, specialist interviews, and explicit consent where required. |
| Identify affected companies | Use Account-Based Analytics and company attributes if licensed and correctly modeled. | Attach company identifiers or properties to users and segment or export affected activity. | CRM or warehouse company master, contracts, owners, and identity reconciliation. |
| Measure prevalence | Calculate affected users, sessions, accounts, conversion loss, region distribution, and trend in the relevant product. | Use funnels, metrics, segments, users, and exports; model accounts separately where needed. | Complete active-company denominator and rules for multi-user adoption. |
| Coordinate action | Share behavioral, monitoring, feedback, and account evidence through projects and exports. | Share sessions, segments, dashboards, technical evidence, and exported context. | Product tracker, support desk, CRM or CS platform, experiment plan, owner, and validation date. |
Neither platform proves why Reporting completion declined. Use the pattern to select evidence, then validate it with errors, performance data, feedback, support cases, interviews, and a controlled change. Company-level analysis requires reliable Company and User identity plus an account denominator that is not distorted by one champion.
Can one replace the other?
Each can replace the other's core replay-and-behavior workflow, but not every adjacent capability without compromise.
| Question | Short answer | Main compromise |
|---|---|---|
| Can Contentsquare replace Fullstory? | Yes, when the organization wants the broader suite and its teams can work within that operating model. | A heavier implementation, more complex packaging, and a less concentrated daily product-investigation surface. |
| Can Fullstory replace Contentsquare? | Often, yes for product and UX investigation across replay, funnels, journeys, segmentation, heatmaps, and technical evidence. | Companion tools may be needed for broad VoC, specialist interviews and tests, merchandising, accessibility, and enterprise monitoring. |
| Should a company use both? | Usually not. Use both only for distinct, non-overlapping requirements with clear ownership. | Duplicate SDKs, privacy rules, data models, session costs, training, procurement, and sources of truth. |
Before running both, test whether one platform plus a specialist companion covers the complete decision workflow. Two overlapping replay collectors should be an intentional architecture choice, not the default response to uncertain ownership.
For wider context, compare product analytics tools, Fullstory versus LogRocket, and Microsoft Clarity versus Hotjar versus Fullstory.
Where Hymetry fits
Hymetry is relevant when a B2B investigation begins with the customer company. It connects grouped pages and product areas to Companies, Users, adoption, penetration, usage concentration, and Visits.
Start with a company whose Reporting adoption is falling, find the users and workflows behind it, then open session evidence. This supports product usage by company and reveals whether activity is broad or champion-dependent.
| Hymetry is relevant for | Hymetry does not replace |
|---|---|
| Connecting product areas and grouped pages to account-level adoption across customer companies. | Contentsquare's broad enterprise experience suite. |
| Distinguishing company adoption from penetration among users inside the account. | Fullstory's mature behavioral analytics and replay-investigation workflow. |
| Identifying usage concentration, missing workflows, affected companies, and users worth reviewing. | Broad Voice of Customer, merchandising, or conversation-intelligence programs. |
| Moving from an account or user signal to relevant Visits and session evidence. | Enterprise performance monitoring, application observability, or dedicated ecommerce analysis. |
Hymetry is newer, with fewer integrations, no mature independent rating, and narrower experience analysis. It is not part of the primary verdict.
FAQ, methodology, and sources
Match the product to the scope and owner of the investigation rather than searching for one universal winner.
Is Contentsquare better than Fullstory?
Contentsquare is better for a broad enterprise experience program; Fullstory is better for a focused product, UX, replay, and technical workflow. Choose the required operating model.
Can Contentsquare replace Fullstory?
Yes, when consolidating journeys, replay, heatmaps, performance, feedback, and ecommerce outweighs a broader implementation and procurement model.
Which has stronger session replay?
Both are mature. Fullstory is more direct for behavioral search and replay-linked DevTools; Contentsquare excels when replay opens from journeys, zones, feedback, performance, or impact.
Which is better for UX research?
Fullstory is a strong starting point for behavior-led UX investigation. Contentsquare offers broader surveys, feedback, journeys, and enterprise experience evidence, but new customers need a specialist platform for interviews and user tests; only existing paying customers retain those legacy features.
Which is better for a large enterprise?
Contentsquare fits multi-department experience intelligence. Fullstory fits an enterprise deliberately limiting scope to product behavior, replay, conversion, and technical evidence.
Should a company use both?
Usually not: collection, privacy rules, metrics, training, and spend can duplicate. Use both only for distinct requirements with clear ownership.
Where does Hymetry fit?
Hymetry connects B2B customer companies, users, product areas, adoption, concentration, and Visits. It complements rather than replaces either platform.
Sources
Publisher disclosure: Hymetry publishes this comparison and is included only where account-centric B2B product intelligence and session evidence create a materially different requirement.
No Contentsquare or Fullstory sponsorship, affiliate relationship, customer relationship, or product endorsement is implied. Capabilities, packaging, pricing, ratings, review counts, and video availability may change after publication.
Methodology and evidence limits
Research and final verification were completed 12 August 2026. Official product, pricing, technical, privacy, access-control, retention, and implementation documentation received priority. G2 supplied the common customer-rating source; review pages informed recurring praise and criticism.
No hands-on comparative deployment was performed. No vendor demo was presented as an independent review. Contract-dependent, add-on, separate-product, and transitional capabilities remain labeled.
G2 blocked direct automated access during the final check. Rounded counts were cross-checked against indexed product pages and fresher seller pages; the seller-wide Contentsquare aggregate was excluded because it combines products.
Capability labels summarize product emphasis, not numerical scores. Replay shows observable behavior; it cannot directly reveal intent, attention, emotion, satisfaction, causality, or a guaranteed root cause.
Official product documentation — Contentsquare
- Contentsquare platform
- Experience Analytics
- Product Analytics
- Experience Monitoring
- Voice of Customer
- Mobile capabilities
- Merchandising
- Surveys
- Interviews availability notice
- User Tests availability notice
- Product Analytics web documentation
- Hotjar is now part of Contentsquare
- 2026 releases and updates
- Single Sign-On
- Audit Log
- Current data masking
- Legacy insights.hotjar.com data suppression
- Replay URL targeting
Official product documentation — Fullstory
- Fullstory Analytics
- Session Replay
- Funnels and conversions
- Mobile analytics
- Guides and Surveys
- Private by Default
- Fullstory Anywhere
- DevTools guide
- Network view
- Page-speed metrics
- Privacy settings
- SAML SSO and role mapping
- Okta SCIM through a custom SAML application
- Privacy setup and audit trails
- Data residency
- Data retention
- Session deletion
- Exclude, Mask, and Unmask controls
Official pricing
Customer reviews
Official video material
- Fullstory Guides and Surveys official walkthrough, published 18 February 2026 and used only to demonstrate the current workflow.
No current neutral direct comparison video met the usefulness and evidence standard. The vendor walkthrough is labeled accordingly.
