Pendo Analytics: In-Depth Review (+Better Alternative)25 min read

In today’s fast-paced digital landscape and digital products, making informed decisions based on data and analytics is essential for product teams. Pendo Analytics has risen to prominence as a significant player in the field of analytics and user engagement, drawing considerable attention.

In this comprehensive review, we’ll dig into the details of Pendo Analytics, examining its features, assessing its strengths and weaknesses, and introducing a compelling alternative that could potentially offer a more comprehensive solution for your analytical needs.

What is Pendo?

Pendo is a product adoption platform that lets teams monitor product usage, analyze user behavior, and publish in-app guides. The no-code solution focuses on increasing user engagement and driving feature adoption.

Additionally, Pendo also lets you survey users, segment customers, and see how many site visitors or MAUs your web app is getting. Certain features like product areas, data explorer, product engagement score, and resource centers are only available on paid plans.

Pendo for product analytics

Pendo has no shortage of product analytics capabilities, as the platform has rich native features and several third-party integrations. You’ll even be able to access the most important metrics like MAUs and feature use from the home dashboard itself.

Here’s a closer look at Pendo’s analytics features:

• Native Analytics: Because Pendo is a product adoption platform, most of its adoption and engagement analytics are native to the solution. This means you’ll be able to track the number of views, clicks, and interactions that specific in-app guides or product areas get.
• Paths: The Paths section of your Pendo account shows you which paths users take when coming from a specific page or which path they took to get to a particular page. You’ll also be able to sort this data by segment, and date, or see the paths taken by individual visitor IDs.
• Retention: Pendo’s retention analytics dashboard lets you see cohort retention data from month to month. You’ll also be able to toggle between visitors versus accounts, switch between weekly or monthly views, and measure retention for specific segments.
• Funnels: Pendo’s funnel analytics can tell you how many unique visitors have seen your funnels, how many attempts have been made to get through the funnel, and the average time it takes to complete the funnel. You’ll also be able to see completion rates and sort by date or segments.
• Analytics Widgets: Pendo’s home dashboard lets you choose which widgets you’d like to add or remove. You’ll be able to select from various analytics widgets that track product goals, feature adoption, guide views, time-on-app, and other core metrics.
• Third-Party Integrations: Pendo has integrations with tools like Salesforce, Intercom, Segment, Slack, and more. Linking your Pendo account with these third-party solutions will make syncing and sharing data seamless.

Pendo for funnel analysis

User funnels help you track the customer journey from the awareness stage to conversion or even advocacy. Pendo helps you track user funnels through a combination of funnel charts, path reports, and data export capabilities.

Here are the Pendo features you can use for funnel analysis and tracking:

• Funnel Charts: Pendo lets you generate funnel charts that help you visualize multi-step funnels, see which stages most users get stuck on, and view the average completion time for each funnel within your product. You’ll also be able to track the overall completion rate of funnels.

• Paths Reports: Pendo’s Paths reports help you view the paths that users take when coming from a specific page. You can also duplicate these reports, share them with other team members, or download the report as a CSV file with up to 10,000 rows.
• Step Breakdown: If the visual charts on Pendo aren’t the right fit for your use case then you could export your funnel data as a step breakdown CSV file. This will give you data on the total number of unique visitors a funnel got, the conversion rate on each step, and step duration.

Pendo for path analysis

Understanding the in-app paths your users take is just as important as being familiar with the conversion path they’re on before subscribing. Pendo lets you conduct thorough path analysis through its no-code path builder and visual charts but does have a few noteworthy limitations.

Here’s an overview of how you can use Pendo to conduct user path analysis:

• Path Builder: Pendo’s no-code path builder lets you create a new path by selecting the starting page, date range, and target segment. If you have a multi-app subscription, you can also enable cross-app path analysis.
• Visual Reports: Pendo’s path reports are generated in a chart format to help you visualize the paths that users take from a starting page. You’ll also be able to zoom in on each step of the path to get more detailed insights, share reports with teammates, and export it as a CSV file.

• Pendo Limitations: Like all other analytics dashboards on Pendo, data on paths only refreshes once per hour.

Pendo for product growth analysis

Monitoring growth analytics and extracting insights from product KPIs are crucial for any SaaS business. Pendo lets you monitor core metrics through your home dashboard, track adoption rates on an individual feature level, and divide data by different product areas if you upgrade your plan.

Here are some Pendo features you can use to analyze product growth:

• Analytics Dashboard: Pendo’s home dashboard is fully customizable. You can choose from a broad library of widgets (MAU trends, Feature Adoption, NPS, time-on-app, stickiness, Retention, custom text blocks, and more) to surface the growth metrics that matter most.
• Feature Adoption: Pendo lets you track feature adoption to see the top features that drive 80% (percentage benchmark can be adjusted) of all click volume within your product. This helps you identify the few features that account for most of product growth so you can double down.

• Product Areas: Product areas let you sort analytics, monitor adoption, track events, and keep tabs on overall growth across each section. Do note that you’ll need to upgrade to a paid plan in order to use the product areas feature.

Pendo for retention analytics

Retention analysis is a crucial part of understanding the reasons why customers abandon your product so you can prevent further losses. Pendo has cohort dashboards, cross-app analytics, and retention reports that can help you get ahead of churn before it happens.

Here are the Pendo features you can use to conduct retention analysis:

• Cohort Analysis: Pendo’s analytics dashboard can be used to conduct cohort retention analysis by seeing what percentage of each cohort is retained on a month-to-month basis. You can also sort this retention data by segment, cohort size, segment, or date range to filter results.

• Cross-App Analytics: If you get Pendo’s Portfolio plan then you’ll be able to see retention analytics for all your products. Bear in mind that, like all of Pendo’s analytics dashboards, cross-app data is only refreshed once per hour so you can’t track these metrics in real-time.
• At-Risk Reports: Pendo allows you to build a segment of users or accounts whose engagement has dipped below your threshold (e.g. “no events in the last 30 days”) this makes it easy to identify and proactively win-back users at the risk of churn.

Pendo for churn analysis

Churn analytics help you uncover the reasons behind customers abandoning your product so you can increase retention rates moving forward. Pendo lets you identify the root issues driving churn through cohort data, cross-app analytics, and in-app polls.

Here are the Pendo features you can use to conduct churn analysis:

• Cross-App Reporting: Pendo has cross-app analytics that you can use to monitor churn on multiple products (or one product with multiple versions on different platforms).
• In-App Polling: Pendo’s in-app polls let you collect both qualitative and quantitative feedback from your users. You can also target specific segments or cohorts to gather actionable insights from the users who are at the highest risk of churning.

Pendo for predictive analytics

Pendo’s core Analytics product focuses on retrospective behavioral metrics (Data Explorer, Paths, Funnels, Retention).

There is no built-in “predictive analytics” feature in Pendo Analytics itself—you’d need Pendo Insights (a separate AI-driven offering) for predictive modeling.

Pendo for user segmentation analysis

Pendo has native segmentation capabilities that help you analyze insights and sort data by different user groups. You can analyze all your segments from a single dashboard, segment users based on their responses to surveys, or sort feedback by segment if you get the Pendo Feedback tool.

Here are some of the Pendo features you can use for user segmentation analysis:

• Segments Dashboard: The Segments dashboard lets you view all segments and filter by the teammate who created the segment. You’ll also be able to see when the segment was last updated, which user created it, and the rules associated with it.

• Survey Segmentation: Pendo’s segmentation features let you segment certain users based on their responses to a specific poll. You can then re-target users in these segments using in-app flows that are personalized to their responses (e.g. upselling users with positive responses).

• Segmented Feedback: Pendo lets you filter and report on feature-request data by any segment or user property, so you see which cohorts are upvoting which ideas.

Pendo for A/B testing

Pendo’s recent updates allow the platform to now natively support A/B (and A/B/C) tests through its Guides module. You can create two (or more) random user segments and compare outcomes in the Guide Metrics dashboard.

The platform also lets you define your key success metrics—whether that’s click-through rate on a call-to-action, guide completion percentage, or feature adoption lift—then monitor each variant’s performance. You can set statistical confidence thresholds to know exactly when a winner emerges, schedule experiments to run only during peak usage windows, and automatically roll out the top-performing guide to all users.

Pendo for user feedback analytics

Pendo’s survey analytics may not be as comprehensive as its product analytics but if basic feedback collection is all you need then it should be sufficient. Pendo lets you add poll widgets to your home dashboard, track poll response rates, and collect qualitative and quantitative feedback.

Here’s an overview of Pendo’s survey data analysis capabilities:

• Poll Widget: Pendo’s poll widget can be added to the home dashboard to track responses and metrics. Sadly, each widget can only track one poll and it only shows summarized data rather than showing you the full responses.

• Combined Insights: Pendo’s in-app polls let you collect a combination of qualitative and quantitative feedback. Combining these two types of survey data from Pendo polls can help you extract insights and dispel any interpretation bias. Every poll displays the overall response rate so you don’t have to manually calculate this metric. While Pendo doesn’t have any built-in A/B testing for polls, you can use the response rate metric to compare polls and see which ones get the most engagement.

Pros and cons of Pendo’s product analytics

Pendo’s product analytics offers many benefits in terms of ease of use, comprehensive tracking, and user engagement features. However, its pricing and customization complexity may be drawbacks for some organizations, and it might not be the ideal choice for those seeking advanced statistical analysis capabilities. Carefully consider your specific business requirements and budget when evaluating Pendo’s product analytics.

Pros of Pendo analytics

1. Ease of Use: Pendo is known for its user-friendly interface and ease of setup. Many users find it intuitive, which can save time and resources when implementing analytics solutions.
2. Out-of-the-Box Functionality: Pendo offers “out-of-the-box” analytics, requiring minimal setup and configuration. This means you can start gaining insights into your product usage quickly.
3. Comprehensive Tracking: Pendo provides a wide range of tracking capabilities, including user behavior, feature usage, and engagement metrics. This comprehensive tracking can offer valuable insights into how users interact with your product.
4. Segmentation and Targeting: Pendo allows you to segment your user base and target specific user groups with customized messaging and experiences. This can be a powerful tool for improving user engagement and conversion rates.
5. In-App Guides and Surveys: Pendo offers the ability to create in-app guides and surveys, which can help onboard new users, gather feedback, and drive specific actions within your product.

Cons of Pendo analytics

1. Cost: Pendo’s pricing can be relatively high, especially for smaller businesses or startups.
2. Limited Data Integration: While Pendo offers robust tracking capabilities, its data integration options may not be as extensive as some other analytics platforms. This could limit your ability to combine data from various sources for a more holistic view.
3. Learning Curve: Despite its user-friendly interface, Pendo may still have a learning curve, especially for users who are new to analytics platforms.
4. Customization Complexity: While Pendo is easy to set up initially, customizing it to suit unique business needs can be more complex. Advanced configurations may require technical expertise.
5. Limited Advanced Analytics: Pendo’s strength lies in tracking and user engagement rather than in-depth statistical analysis. If your organization requires advanced statistical modeling, you might need to complement Pendo with other analytics tools.

Why you might need a Pendo alternative

There are a few obvious instances where you’ll likely need an alternative solution to Pendo — such as these use cases:

• Over 500 MAUs: If your product has more than 500 MAUs then you’ll need to subscribe to a premium Pendo plan (which tends to be significantly more expensive than other competitors on the market).
• Real-Time Analytics Needs: Companies that operate in fast-paced work sprints will likely opt for product adoption solutions with real-time analytics since Pendo’s one-hour data lag can make data-driven decision-making difficult.
• Expensive Pricing Model: Pendo is more expensive than most solutions on the market and the subscription cost rises rapidly as your MAUs grow.

What do users say about Pendo analytics?

Most Pendo users seem to be quite happy with the solution despite a few personalization roadblocks and usability challenges:

I love the ability to see where our users are spending the bulk of their time. I love the ability to measure metrics quantitatively.

Other users were less satisfied with Pendo as a product adoption solution due to the amount of effort it takes to actually use the tool on a regular basis:

I’m giving a 1 so unfortunately I can’t give much love. It’s already my second job using Pendo and I’m not impressed. A/B testing numbers are different between the API export and CSV export in the UI, no 50/50 split between test and control, support is slow, event tracking doesn’t handle aliasing, only 7 days of historical data can be sent with Segment which make backfills impossible, NPS forms are shown in multiple tabs and doesn’t close once it’s been submitted in one of the tab.

Pendo pricing

Paid plans are custom-quoted (no public list prices), but customers frequently report entry-level quotes in the $30 K – $50 K per year range for a single product, with higher tiers costing significantly more.

Pendo also offers a Free plan (up to 500 MAU) and a 14-day trial of its paid tiers so you can test everything before you buy.

Userpilot: A better alternative to Pendo analytics

Why would you consider Userpilot as an alternative to Pendo?

As a product growth platform, Userpilot offers not only robust analytics features but also allows you to collect and analyze user feedback and act on the insights by triggering personalized in-app experiences.

With Userpilot’s native mobile SDK, you can onboard and engage mobile app users by creating personalized messaging, push notifications, and surveys.

And it’s so much easier to learn than Pendo.

Overview of Userpilot’s analytics functionality

Product analytics lets you collect and analyze data about how users interact with your product so you can extract actionable insights. Userpilot lets you look at granular product analytics such as which features have the highest adoption rates and big-picture insights like trend reports.

Here are Userpilot’s top product analytics features:

Uncover usage trends with powerful data analysis trends

Trend analysis allows you to visualize event data at the user and company levels.

For example, you could visualize the total number of users who completed a particular event (including custom events), unique users, active users (DAUs, WAUs, and MAUs), as well as the count per user.

This is not limited to a single event either. You can use the feature to visualize multiple trends in one graph. For example, you could use it to track main activation events like ‘created a flow’ and feature usage.

Of course, the feature enables product managers to filter the event analytics data for more granular analysis. For example, you could filter data by company name or device type. You can also add custom formulas, and export the data into a CSV file.

The visualizations are easy to customize, and you can choose different graph and chart styles to display your product usage data:

• Time Series – Line, Stacked Line, Stacked Bar
• Total Value – Pie, Bar, Metric

Unveil conversions across key stages with funnel analysis

Funnel analysis is a tool that allows you to track conversion rates at key stages of the user journey. The feature also allows you to view the average conversion time.

Thanks to that, you will be able to easily identify friction points and drop-offs. If lots of users fail to progress from one stage to another, that’s the spot that needs optimizing.

Of course, identifying the exact source of friction will require further investigation. You could target the users who have dropped off with surveys or watch their session recordings.

Funnels in Userpilot will allow you to break down the data for detailed analysis of the conversion rates. For example, you could display conversion data across different price plans or user segments next to each other in one funnel chart.

Enhance app experiences through intuitive flow analytics

Flow analytics enables product teams to extract granular insights about user interactions with in-app experiences at the step level.

For example, if your onboarding flow consists of a number of in-app messages, you will be able to analyze in detail which users interacted with them and completed the step, and which of them dropped off.

Powerful A/B testing at your fingertips with different tests available

We’re expanding the A/B testing feature to allow you to conduct different experiments on your in-app flows. These are:

• Controlled A/B Test – to assess the effectiveness of a single flow by comparing its performance against a control group that doesn’t see the flow.
• Head-to-Head A/B Test – to compare the effectiveness of two different flows.
• Controlled Multivariate Test – to compare the performance of various flows against a control group.

Coming soon: Userpilot analytics features to watch out for

In addition to the above features to launch in September, there are more features coming by the end of this year.

• Retention analysis – to effortlessly track and analyze user retention trends over time. You will be able to view the retention rate for the last 7 days, 30 days, and 180 days, as well as custom data ranges via cohort analysis.

• Customizable dashboards – to easily spot user insights by tracking chosen metrics added to the dashboard as individual widgets.
• User profile analytics – for granular user behavior analysis of individual customers. Clicking on a specific user will display their profile with all the events and actions performed by them in a specific timeframe.

• AI-powered analytics – to supercharge qualitative user feedback analysis and leverage quantitative data for predictive analysis.

Userpilot pricing

Userpilot’s transparent pricing ranges from $249/month on the entry-level end to an Enterprise tier for larger companies.

Furthermore, Userpilot’s entry-level plan includes access to all UI patterns and should include everything that most mid-market SaaS businesses need to get started.

Userpilot has three paid plans to choose from:

• Starter: The entry-level Starter plan starts at $249/month and includes features like segmentation, product analytics, reporting, user engagement, user feedback, and customization.
• Growth: The Growth plan starts at $799/month and includes features like resource centers, advanced event-based triggers, unlimited feature tagging, AI-powered content localization, EU hosting options, and a dedicated customer success manager.
• Enterprise: The Enterprise plan uses custom pricing and includes all the features from Starter + Growth plus custom roles/permissions, access to premium integrations, priority support, custom contract, SLA, SAML SSO, activity logs, security audit, and compliance (SOC 2/GDPR).

Conclusion

Having read this article, you should now have a good understanding of the range of different analytics options that Pendo offers.

And what it offers is certainly respectable. I especially like the way that Paths shows you where users go after viewing a certain feature, and the retention rate graph is visually impressive. Top marks to the designers in both cases.

Nevertheless, one feels like Pendo is a bit more concerned with pretty graphs for their own sake, rather than providing data that is directly tied to the goals of product teams.

Pendo offers some qualitative analytics through in-app feedback and polls, though it may not be as feature-rich as platforms like Userpilot when it comes to advanced qualitative feedback. Where such options do exist, they require you to pay extra. So on the basis of this evidence, it seems like Userpilot’s analytics might be the better choice here.

Do you agree? If so, you can test out Userpilot’s analytics by booking a demo today.

Userpilot strives to provide accurate information to help businesses determine the best solution for their particular needs. Due to the dynamic nature of the industry, the features offered by Userpilot and others often change over time. The statements made in this article are accurate to the best of Userpilot’s knowledge as of its publication/most recent update on May 9, 2025.