Users can build retroactive funnels to track conversion drop-offs, with direct links to session recordings of users who abandoned the flow.
The platform offers a highly intuitive Funnels feature designed to bridge the gap between quantitative metrics and qualitative behavior. Analysts can build multi-step conversion funnels using standard pageviews or custom events. The dashboard clearly visualizes the conversion rate and absolute drop-off at each step. Its most powerful advantage over standard web analytics tools is the immediate qualitative context: analysts can click directly on the "drop-offs" segment of any funnel step to instantly load a playlist of session recordings for those specific users. This allows product teams to not only see where users are leaving, but watch exactly why they abandoned the process.
This privacy safeguard strictly protects user privacy by suppressing keystrokes and automatically replacing text inputs with asterisks before data reaches its servers.
Privacy is heavily prioritized through robust, client-side data masking. By default, the tracking script suppresses all user keystrokes; any text entered into an input field, password box, or text area is automatically replaced with asterisks before it is ever transmitted to the vendor's servers. Additionally, the platform allows administrators to manually suppress specific HTML elements (like account balances or user profiles) by applying specific CSS classes to the website's code. This ensures that sensitive Personally Identifiable Information (PII) is never inadvertently captured in session recordings or heatmaps, mitigating significant legal and compliance risks for the business.
Heatmap analysis generates continuous, retroactive heatmaps based on clicks, mouse movements, and scrolling, allowing teams to visualize aggregate user attention.
The platform is widely renowned for its robust Heatmap generation. It tracks aggregate user behavior across three visual formats: Click Maps (showing exactly where users click or tap), Move Maps (tracking mouse movement to indicate where users focus their attention on desktop), and Scroll Maps (revealing how far down a page users scroll before leaving). A significant recent upgrade allows these heatmaps to be generated retroactively and continuously, meaning analysts no longer have to manually set up specific page tracking in advance. Users can filter the heatmaps by device type, date range, or specific user attributes, making it an essential tool for UX designers testing new page layouts.
The tool records continuous user journeys across multiple tabs and pages, providing playback of mouse movements, clicks, and scrolling.
Session Recordings (often called Replays) are a core pillar of the platform, providing high-fidelity video playbacks of how real users experience a website. It captures continuous journeys, seamlessly tracking users as they navigate across multiple pages and even multiple browser tabs within the same session. The playback interface includes a timeline that automatically highlights distinct actions (clicks, page changes) and flags periods of frustration, such as "rage clicks" or u-turns. Analysts can heavily filter these recordings by specific landing pages, exit pages, session duration, or triggered custom events, drastically reducing the time spent searching for relevant UX issues.
The vendor operates strictly as a data processor and provides comprehensive native tools to manage user consent and process data deletion requests.
The platform is fundamentally built to support compliance with strict global privacy laws like GDPR and CCPA. The vendor acts purely as a Data Processor, meaning the client retains full ownership of the collected data. It provides native tools like automated user lookup, allowing administrators to easily find and delete a specific user's data upon request to fulfill "Right to be Forgotten" mandates. Furthermore, the platform heavily relies on client-side PII masking to prevent the accidental collection of sensitive data. However, fully legal deployment still requires the business to fire the tracking script conditionally based on the user's input into a valid Consent Management Platform (CMP).
The platform does not offer raw hit-level event streaming; exports are limited to CSV files of heatmap data, survey responses, and recording metadata.
While the tool is excellent for visual, qualitative analysis within its own interface, it is highly restrictive regarding raw data extraction. Users cannot export a continuous, unsampled stream of raw hit-level events or session coordinates into external data warehouses like BigQuery, Snowflake, or Amazon S3. Export capabilities are strictly limited to downloading CSV files containing aggregated heatmap click coordinates, raw text responses from surveys, and high-level metadata regarding session recordings (e.g., duration, URL path). This means data engineering teams cannot effectively stitch the deep behavioral data captured by the tool into complex, centralized attribution models or proprietary BI dashboards.
Data retention policies are strictly limited to 365 days across all paid plans to ensure compliance with data minimization principles.
The platform enforces a strict, non-negotiable data retention limit of 365 days for all session recordings, heatmaps, and survey responses, regardless of the premium tier purchased. Free tier accounts face even shorter limits (typically 365 days for surveys but only 30-180 days for specific recordings depending on legacy plan structures). Once this time limit is reached, the behavioral data is permanently and irreversibly purged from the vendor's servers. This aggressive policy is deliberately designed to align with GDPR data minimization principles, ensuring that businesses do not stockpile sensitive behavioral recordings indefinitely. Organizations requiring longer historical archives must rely on a different tool.
Secure authentication is supported through SAML 2.0 Single Sign-On, available exclusively for organizations on the highest enterprise tiers.
To accommodate the security requirements of large organizations, the platform supports SAML 2.0 Single Sign-On (SSO). This allows IT departments to integrate the analytics tool with major identity providers like Okta, Azure Active Directory, and Google Workspace. By utilizing SSO, companies can enforce their own password policies, mandate multi-factor authentication, and automatically provision or revoke access based on corporate directories. However, this feature is gated behind the vendor's highest-tier Enterprise plans (often branded as "Scale" or "Observe Scale"), meaning smaller businesses on standard premium plans must rely on basic email/password authentication or Google/Microsoft social logins.
This capability features highly customizable, on-page survey widgets and feedback polls to capture qualitative user sentiment directly in the moment.
Beyond passive observation, the platform includes active Voice of Customer (VoC) tools, specifically targeted on-page surveys and feedback widgets. Marketers and UX researchers can trigger dynamic pop-up surveys or slide-in polls based on specific user behaviors, such as exit intent, scrolling halfway down a page, or viewing a specific product. This allows teams to capture contextual, qualitative feedback exactly when the user is experiencing friction (e.g., asking "What stopped you from buying today?" right as they abandon a cart). The survey logic supports complex branching, allowing follow-up questions based on the user's previous answer, making it an exceptionally powerful qualitative research tool.
The platform functionality automatically highlights periods of user frustration within session recordings, such as u-turns and rage clicks.
To accelerate qualitative research, the platform automatically flags specific behavioral patterns associated with user friction. During session playbacks, the timeline indicates events like "rage clicks" (repeatedly clicking an unresponsive element) and "u-turns" (navigating to a page and immediately returning). Analysts can explicitly filter their entire recording library to only show sessions containing these friction events. While highly useful for quickly spotting broken links or confusing UI elements, the friction detection is strictly tied to the recording module; it does not offer the complex, site-wide automated friction scoring or predictive drop-off modeling found in advanced enterprise digital experience platforms.