Funnel & Drop-off Analysis

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Compare all software platforms supporting this capability.

16 tools supported

Updated:

Using the Fallout visualization within Workspace, analysts can build highly complex, multi-dimensional funnels that cross different sessions and device types.

Funnel analysis is executed through the deeply customizable "Fallout" visualization within Analysis Workspace. Analysts are not restricted to simple page sequences; they can build funnels mixing page views, custom events, specific link clicks, and complex audience segments at any step. A major differentiator is the ability to easily toggle between "eventual" progression (where steps happen anytime) and "immediate" progression (where steps must happen consecutively). Additionally, analysts can instantly right-click any drop-off point in the funnel to generate a segment of the users who abandoned the process or launch a trend report to see where they went instead. This provides an extraordinary level of diagnostic depth for conversion rate optimization, far exceeding the capabilities of standard out-of-the-box funnel reports.

Matomo

Supported

As a premium plugin, the funnel tool allows businesses to define strict step-by-step conversion paths to identify exact user drop-off points.

Funnel analysis is available, but it requires purchasing and installing a premium premium plugin (or having it included in the cloud tier). Once activated, analysts can build linear funnels by defining a sequence of page URLs or specific custom events that lead to a final goal. The resulting visualization clearly highlights the conversion rate at each stage and precisely where users abandon the process. A strong feature is the ability to retroactively apply these funnels to historical data, unlike some tools that only track funnels from the moment they are created. However, the funnels are strictly linear; the tool struggles to analyze highly complex, multi-directional user journeys or open funnels where users enter midway through the process.

Mixpanel

Supported

The platform offers an exceptionally powerful funnel engine, allowing analysts to track complex, multi-step conversions and measure time-to-convert natively.

Funnel analysis is a foundational strength of this platform. Analysts can construct intricate user journeys using any combination of custom events, with precise control over the conversion window (from minutes to months). It excels in flexibility, allowing teams to analyze exact-order funnels, any-order funnels, and even funnels that measure the conversion rate between multiple sessions. A standout feature is the "Time to Convert" distribution chart, which clearly visualizes the velocity of the user journey. Furthermore, analysts can seamlessly segment the funnel by any event property or use the "Find Insight" feature, which automatically highlights the specific user properties or behaviors that correlate highest with successful conversion.

Allows creation of custom funnel explorations to track user steps and drop-off rates.

Custom funnel explorations can be built to track sequential user steps and identify drop-off rates using any combination of events. Analysts can construct complex, multi-step user journeys with standard or custom events, pageviews, and user properties. The tool supports both closed and open funnels, enabling analysis of elapsed time between steps. This is effective for diagnosing conversion bottlenecks in e-commerce or lead generation forms. However, building accurate funnels requires understanding the event architecture, as poorly named or inconsistently fired events can distort results.

Piwik PRO

Supported

Enables creation of customizable, multi-step funnel reports to analyze user flow.

Customizable, multi-step funnel reports can be created to analyze user flow and identify drop-off points. Users can construct funnels using page views, custom events, and destination URLs. The visualization shows user volume entering the funnel, progression percentages, and exact drop-off points. A notable feature is the ability to segment funnel output, such as comparing mobile versus desktop checkout rates. While powerful for conversion optimization, it requires logically structured and consistently named tracking events.

Supports building simple, linear conversion funnels for tracking drop-off rates.

Simple, linear conversion funnels can be built to track step-by-step drop-off rates using predefined custom events and pageviews. Analysts can define sequential paths to visualize drop-off rates between steps, such as 'Landing Page -> Add to Cart -> Purchase.' This is useful for identifying abandonment points in standard conversion flows. However, the tool is limited to linear, closed funnels and lacks capabilities for complex journey analyses or deep audience segmentation. It meets basic conversion tracking needs but lacks depth for deep product teams.

Amplitude

Supported

Features a highly customizable funnel analysis engine for tracking conversion steps.

A highly customizable funnel analysis engine allows tracking of conversion steps across any timeline or sequence. Product teams can build complex funnels with control over the conversion window, such as requiring completion within specific timeframes. The tool supports unordered and exact-order funnels, instantly calculating conversion rates and enabling behavioral segment creation for users who drop off. The 'Time to Convert' visualization offers insights into user journey velocity, aiding optimization of complex onboarding flows.

PostHog

Supported

Offers complex funnel creation with features like strict step-ordering and session links.

Complex funnel creation is supported with features like strict step-ordering, time-to-convert metrics, and direct session recording links. Analysts can define funnels using pageviews, custom events, or frontend clicks. The tool accommodates exact-order and unordered funnels, with specified conversion time windows. A competitive advantage is its integration with Session Replay, allowing instant access to recordings of users who dropped off. This provides qualitative explanations for quantitative drop-offs, a rare capability in analytics suites.

Enables building basic, retroactive conversion funnels with session recording integration.

Basic, retroactive conversion funnels can be built by combining page URLs and predefined click events. The tool visualizes drop-off percentages between steps and applies funnels to historical data. Integration with the core product allows users to click on drop-off points to watch session recordings of users who abandoned the process. This provides qualitative context to the quantitative data. While not a dedicated product analytics platform, it offers straightforward funnel analysis for tracking customer journeys.

Hotjar

Supported

Allows creation of retroactive funnels with direct session recording links for drop-offs.

Retroactive funnels can be created to track conversion drop-offs, with direct links to session recordings of users who abandoned the flow. Multi-step conversion funnels are built using pageviews or custom events, with dashboards visualizing conversion rates and drop-offs. A key advantage is the ability to load session recordings for drop-off segments, providing qualitative insights into user behavior. This bridges the gap between quantitative metrics and qualitative analysis, helping product teams understand abandonment reasons.

FullStory

Supported

The platform provides robust, retroactive funnel analysis that seamlessly connects conversion drop-offs directly to session replay videos.

Funnel analysis on this platform is incredibly powerful due to its "autocapture" technology. Because every interaction is logged automatically, analysts can build complex, multi-step funnels retroactively without having to instrument custom events in advance. Users can define funnels based on pageviews, CSS selector clicks, or text inputs. The most significant advantage is the immediate qualitative context: clicking on the drop-off segment of any funnel step instantly pulls up the specific session recordings of the users who abandoned the flow. This allows product teams to not only quantify a conversion problem but visually diagnose the exact UI/UX issue causing it.

Mouseflow

Supported

Offers a funnel reporting tool linking user progression to drop-off recordings.

A native funnel analysis tool measures conversion drop-offs by defining page sequences or custom events. The visualization shows user progression and abandonment at each stage. A key feature is the integration with session replays, allowing analysts to view recordings of users who did not convert. This shifts analysis from quantitative identification to qualitative observation.

Lucky Orange

Supported

Supports building basic, multi-step funnels with session recording integration for drop-offs.

Basic, multi-step funnels can be built to track user movement through conversion paths, with session recording integration for drop-offs. Funnels are defined using page URLs or clicked elements, with the interface displaying conversion and abandonment rates. The integration with session recording allows analysts to filter and watch recordings of users who abandoned the funnel. This visual tool aids immediate UX diagnostics but lacks complex behavioral event logic found in dedicated analytics suites.

Identifies user journey bottlenecks, enhancing conversion insights.

Visualizing and analyzing the user journey through websites, this feature identifies drop-off points and conversion bottlenecks. It provides actionable insights to enhance user experience and improve conversion rates. Users can set up and customize funnels to track specific goals, making it versatile for businesses of all sizes. However, companies with highly complex funnel requirements might need additional tools for multi-channel analysis. While effective, it may not cover every intricate need without further integration.

Basic funnel analysis lacking deep segmentation.

Basic funnel analysis allows tracking and visualization of visitor steps on a website. Necessary insights into user journeys and conversion paths are provided, but functionality is limited compared to deep platforms. Users can define funnels to identify drop-off points, but integration with complex behaviors is limited. Businesses with straightforward funnels can find this feature useful, but deeper insights may require additional tools. The feature serves basic analysis needs but is limited for detailed insights.

LogRocket

Supported

Offers visual tracking of user journeys, may need extra setup for full integration.

Funnel analysis meticulously tracks user journeys through various stages of their conversion paths. Visual representations of user engagement at each step help pinpoint drop-off points and optimize conversion rates. While the feature is reliable, additional configuration may be required to fully integrate with all types of digital platforms. Insightful metrics provided can be important for teams looking to enhance their sales funnels and improve user retention.