Pendo Features

Accurately measure total web traffic and present data elegantly.

Configure and accurately measure an appropriate measure of engagement, such as average session length, page views per session, amount of scrolling, etc.

Accurately determine where most people enter your site and where they leave and present data elegantly.

Software automatically tracks standard user actions.

Able to set up custom variables to track any user activity on the site.

Accurately measure bounce rate.

Track user return rates and related metrics.

Track what proportion of users convert via a certain action.

See how many users proceed down a certain path to conversion.

Configures and accurately measures an appropriate measure of engagement, such as average session length.

Accurately determines where users close the app during their sessions.

Accurately measures bounce rate.

Tracks user return rates and related metrics.

Tracks what proportion of users convert via a certain action.

Tracks metrics that provide insight into how a user interacts with any interface or product

Measure return on ad spend by tracking the actions people take such as sign up or download after engaging with ads

Identify the physical location of an individual, asset, device, etc.

Monitor conversion rates and analyze effectiveness and profitability of marketing efforts

Measures the retention rate and satisfaction of customers.

Track visitors and purpose of visits

Track visitors'/audience's responses across web pages and other optimized content

Obtain live data for who is currently accessing your site.

Report on how any user activity has changed over time.

Report on user activity in the past and set up predictive models for the future.

Break down a population of users by demographics, sequence actions, time, and able to build custom segments.

Analytic tools are also available for mobile and tablet versions of websites.

Able to unify user data across devices, recognizing returning users.

Allows users to easily build customized reports and dashboards.

Able to access user-specific data such as location, language, gender, and activity while on the site.

Report on keywords used in internal searches.

Track load times on different devices and systems.

Analyze inbound marketing traffic to identify which campaigns are working best.

Track revenue and transactions.

Able to deploy promotional or other pop-up messages based on user actions.

System can self-monitor critical metrics and alert administrators when they reach concerning levels.

Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc. with other software applications.

Able to test that event and variable setup are reporting data accurately.

Software is consistently available (uptime) and allows users to complete tasks quickly because they are not waiting for the software to respond.

Grant access to select data, features, objects, etc. based on the users, user role, groups, etc.

Identifies user demographics like gender or age.

Enables the view of analytic data based on user segment.

Identifies users locations.

Predict future data based on historical data sets

Enables you to define custom events for analysis.

Provides real-time reports.

Measures user acquisition analytics.

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Displays a users progress throughout specific paths in an application.

Displays a users activity history.

A set of rules that assigns credit for sales and revenue to touchpoints across the customer journey

Track user activities and events within an application.

Tracks where users are clicking on a web page.

Tracks mouse movement over a web page.

See where users experience the most difficulty on a web page.

Tracks sessions where users encountered errors and bugs.

Split web traffic to a page between two different URLs.

Offers insights into relationships between user information and user behavior.

Leave notes on sessions and bugs.

Collects user information (location, IP address, email, etc.).

Search sessions by keywords or IP address.

Allows you to deploy NPS surveys to users.

Analyzes user survey responses and information in the application.

Receive data and information in real time

Notifications that are delivered to users as soon as an event occurs

Organizes users into predefined groups and provides different responses based on group.

Supports multiple languages.

Provides responses based on user behavior and feedback.

Supports audio and video-based walkthroughs.

Supports text bubble walkthroughs.

Ability to see analytics at the account level.

Ability to see analytics at the user level.

Ability to compare usage across segments such as role, company size, etc.

See how users move though a product via grouped page sequences

Receive automated alerts and reports based on gains or losses in performance.

View analytics for multiple products in a single dashboard, including cross-product engagement

Scores customers and visitors to identify at-risk or thriving accounts.

Breadth and functionality of integrations with third-party products.

Track and interpret metrics on the usage of company resources

Enables integration with web-based software, websites, or other software applications.

Provides cued prompts, messages, tooltips, notifications and branded tutorials.

Manages user interactions and analyzes user behavior data within the software or application.

View and track pertinent metrics to find patterns and gain insights from data

Interact with data visualization elements, such as charts and graphs, to drill down into data

Analyze and gain insights into data in real-time

Supports self-service features like troubleshooting, form completion, or knowledge base access.

Provides in-app guidance on company-specific tools and workflows for onboarding.

Interprets what a user is doing based on context and helps guide them through the process.

Works across multiple software systems or databases

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Enable businesses to implement machine learning algorithms on business data such as sales and revenue

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Improves performance based on feedback and experience

Supports flexible learning at different times (i.e., learners can access course materials at their own pace)

Supports learning paths that combine in-person classes with online/virtual courses

Identifying your own learning needs, setting goals, finding the necessary resources, and evaluating your own knowledge

View analytics for multiple products in a single dashboard, including cross-product engagement

Ability to see analytics at the user level.

Ability to see analytics at the account level.

Ability to compare usage across segments such as role, company size, etc.

See how users move though a product via grouped page sequences

Scores customers and visitors to identify at-risk or thriving accounts.

View analytics for multiple products in a single dashboard, including cross-product engagement

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Receive automated alerts and reports based on gains or losses in performance.

Breadth and functionality of integrations with third-party products.

Enables step-by-step inspection of agent reasoning, tool calls, and intermediate outputs to identify failure points.

Displays agent execution paths, decision trees, and tool call sequences in a visual, navigable format.

Traces multi-step AI agent workflows including LLM calls, tool invocations, retrieval steps, and intermediate reasoning states.

Detects behavioral regressions by comparing agent performance across model versions, prompt changes, or configuration updates.

Identifies instances where the agent generates factually incorrect or unsupported content.

Assesses agent output quality using methods such as LLM-as-judge, rule-based checks, or custom evaluators.

Notifies teams of quality degradations, error spikes, or anomalous agent behavior in production.

Tracks response times across agent steps, LLM calls, and tool invocations to identify performance bottlenecks.

Monitors token consumption and attributes costs across models, agents, and workflows.

Maintains comprehensive logs of agent actions, decisions, and data access for compliance and governance purposes.

Automatically identifies and inventories AI agents deployed across environments, including their configurations and dependencies.

Monitors agent behavior against defined organizational policies, guardrails, and regulatory requirements.

Observe and track the demand, usage, progress or quality of a system, product, or user

Trigger clickable pop-up messages

Define levels of authorization for access to specific files or systems

Create a collection of marketing actions to complete specific goals and plan and analyze campaign results

Conceptual model of how data items relate to each other

Method of analysis that visualizes the series of events that lead towards a defined goal.

For the intention to be used by marketing teams

Allow users to access multiple services after entering their login credentials once

Create, design and manage workflows for repetitive tasks

Track and understand a customer's overall satisfaction with a product or service to identify areas of improvement.

Review data from past periods to reveal recurring tendencies and predict future performance

Access software remotely via mobile devices

Set up connections to third-party platforms to improve business processes

System alerts about the need to escalate an issue or request

Import and export data to and from software applications

Provides a channel for team members to share media files, communicate, and work together

Record active support and chat sessions for auditing and training

Graphical representation of data

Identify and analyse the reasons behind accidents

Assemble applications and processes by dragging over and arranging pre-built components

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Use AI to generate content in the form of text, images, videos, etc.

Analytics that breaks the data in a data set into related groups/categories.

Identify and respond to unexpected problems or failures (ie. "negative events")

Track and manage adherence to policies for any service, product, process, or supplier

A visual display that uses a color spectrum to show how visitors interact with areas of a web page

Add customized logos and colors to align with company branding

Search and filter data across systems to locate required information by entering keywords or certain criteria

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Predefined actions automatically performed on the occurance of specific events

Application programming interface that allows for integration with other systems/databases

View and track pertinent metrics to find patterns and gain insights from data

Test multiple versions of emails, forms, content, or other campaign elements to gauge effectiveness

Measure return on ad spend by tracking the actions people take such as sign up or download after engaging with ads

Method of analysis that visualizes the series of events that lead towards a defined goal.

Capture, organize and track product-specific data and information in a centralized location

Tracks metrics that provide insight into how a user interacts with any interface or product

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Analytics that breaks the data in a data set into related groups/categories.

Record active support and chat sessions for auditing and training

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Graphical representation of data

Visualize and analyze customer experience across all touchpoints and channels

Use AI to generate content in the form of text, images, videos, etc.

Edit and personalize data view as needed

Test multiple versions of emails, forms, content, or other campaign elements to gauge effectiveness

Track and understand a customer's overall satisfaction with a product or service to identify areas of improvement.

Use AI to generate content in the form of text, images, videos, etc.

Create, design and manage workflows for repetitive tasks

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Create, manage and track all task activities and progression

Reporting on how each user, task or process has advanced since its initiation

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Track visitors'/audience's responses across web pages and other optimized content

Games or game-like elements to track progress and reward accomplishments

Manage a repository of information that includes articles, FAQs, or tutorials used for self-service support

Identify a particular segment of population based on specific criteria and customize your efforts to attract their attention

Customize data fields to support various needs and use cases

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Alter the layout and content of reports

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Centralized repository to store content and assets

Application programming interface that allows for integration with other systems/databases

Guide new users to understand and become proficient in using a product or service

Add customized logos and colors to align with company branding

Predefined actions automatically performed on the occurance of specific events

Tracks metrics that provide insight into how a user interacts with any interface or product

Online portal through which end users can access the system, manage tasks, or obtain information

Establish guidelines about how much and what kind of data can be stored in the repository

Import and export data to and from software applications

Process of familiarizing new employees with the company, their position, and responsibilities

Create and administer polls and surveys

Organize and track educational activities

Handles digital content throughout its lifecycle, from creation and storage to distribution and archiving

Pre-designed layouts that can be customized to match preferences and requirements

Allow the audience to interact or engage with the content

Track and document all activities across devices, networks, and other systems

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Observe and track the demand, usage, progress or quality of a system, product, or user

Track employee/learner's progression through training programs

Manage and track all internal and external communication conducted via calls, email, text, or chat

Gauge satisfaction and receive information for improvement and success

The ability to create unique content