Pendo Analytics is an integral part of the broader Pendo platform that offers comprehensive insights into user behavior across web and mobile applications. Through our reporting tools, Pendo Analytics facilitates informed decision-making to enhance user experiences and drive digital transformation.
If your subscription includes Pendo Analytics, you have access to all of our user behavior reporting in the Analytics module within the left-side menu. These reports are specifically designed to help you identify potential areas of user friction and reveal positive user interactions, enabling you to address critical issues and optimize the overall user experience within your apps.
Functionality
Pendo Analytics offers several reporting capabilities, each designed to address different analysis needs:
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Custom reporting. Create reports in Data Explorer to analyze user actions, segment activity, and compare user behavior over time.
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User journey analysis. Review how users navigate your application with workflow and path reports.
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Conversion and retention tracking. Use funnel reports to measure conversion rates at each step of a defined process, and retention reports to measure visitor returns over specific periods.
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Friction detection. Identify points of frustration using frustration metrics, such as rage clicks, error clicks, dead clicks, and U-turns.
Pendo Analytics integrates with other Pendo features, including tagging, segmentation, NPS, Session Replay, and in-app guides. These intersections allow you to connect quantitative data with qualitative feedback and interactions.
User behavior insights
Pendo Analytics supports several key activities throughout your product lifecycle:
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Discovery and validation. Determine which product areas users interact with most or least frequently.
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Optimization. Analyze user journeys, conversion rates, and retention to identify improvement opportunities.
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Engagement. Find and address user friction points to improve product experience.
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Feedback analysis. Combine analytics with user feedback to support product improvements.
Report types
Each Pendo Analytics report addresses specific questions about user activity:
| Report type | Description | Use cases |
| Data Explorer | Custom reporting tool for visualizing comparisons, breakdowns, and calculations. |
Analyze a set of events to understand usage, such as what the most-used or least-used feature is in your application. Compare usage by timeframe or segment for a subset of events, such as differences in behavior associated with an event, like feature usage by region. |
| Funnel | Shows conversion rate across a set of specified steps. |
Measure conversion rate and where visitors drop off in a flow. See how long visitors take between steps and the average time it takes to complete the entire flow. Compare different groups of visitors (using metadata) to understand how conversion rate differs and how long it takes visitors to complete a process. |
| Path | Displays actions that users take before or after a specific event. |
Identify the most commonly traveled paths from a starting event or leading to an ending event. You have an ending event in a flow and want to understand what visitors did before getting to that point in your application. You don't have a specific flow in mind and want to understand how visitors navigate your application or specific areas of your application. |
| Retention | Shows the percentage of users who return to an app or Feature. |
Measure retention over a defined period. Get insight into overall user loyalty and engagement. |
| Workflow | Displays process completion rates, and identifies optimal user journeys. |
You have a defined starting and ending event and want to understand how visitors navigate the steps in between. Your app has a starting and ending event that visitors navigate differently, and you want to understand the most common or quickest journey. View daily, weekly, or monthly completion and attempt rates over a specific date range. See if visitors have used your application but haven't started a process. You have a starting and ending event, but your visitors can customize the process between start and end in their own instance of your app. |
Workflows versus funnels
Funnels and workflows are similar but differ in use. Here's a breakdown of their differences:
- Funnels are ideal for processes with defined steps. Use funnels if you want to understand time between steps and drop-off points.
- Workflows are better for processes with optional or variable steps, non-linear user journeys, or visitor-defined steps. Use workflows to understand how visitors navigate through a process and uncover the most common or quickest journeys.
Their percentages and metrics also differ in the following ways:
- Workflows consider all visitors who have generated activity in your application, whereas funnels focus only on those who have initiated the first step of a funnel.
- Completion time is different for non-recurring workflows and unique visitor funnels. In workflows, completion time is determined by a visitor's most recent attempt to complete a flow. In funnels, completion time is measured by the full duration that starts with the visitor's initial attempt to enter the funnel.
- Workflows look at a visitor's most recent attempt to complete a flow, whereas funnels look at the full duration that starts with their very first attempt entering the funnel.
- The data for recurring workflows aligns more closely with a funnel measuring total attempts, but there's no true comparison unless you're looking at a two-step funnel, as you can only define two events for a workflow. If you have a two-step funnel, consider using a workflow to measure usage instead.