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Contentsquare vs. Pendo: which is better for your team?
TL;DR
Pendo and Contentsquare are often compared with each other for their rivaling Product Analytics solutions. In this comparison, the customers that select Contentsquare often do so because of its more granular analytical capabilities, data governance features that make auto captured data more practical to use, and its digital experience analytics capabilities.
Autocapture in Contentsquare Product Analytics has been refined over 10 years of R&D investment.
- It is available for capturing in-page behavioral events for both websites and mobile apps
- It has proven itself over and over again to provide huge time and cost savings compared to traditional analytics tools which require pre-planning and deploying additional tags whenever teams want to answer new questions
- Unburdens engineering so they can focus on their main scope instead of tagging
- Reduces noise with data governance features that retain auto captured events in the background while surfacing only the events that matter
- Ultimately, provides a more complete data set which enables users to get better answers to questions, more quickly, and retroactively.
Examples of more granular analytical insights in Contentsquare Product Analytics include
- Funnels with automated data science algorithms to reveal hidden friction and opportunity in the user experience
- Engagement matrix: Charts features by volume and frequency of use to understand high value features
- Conversion impact of features clicked
- Automated data feeds into data warehouses via Connect
- And many more
The addition of Digital Experience Analytics in Contentsquare
- Provides not just basic session replay as many other Product Analytics vendors do, but a complete platform for digital experience analytics, monitoring, and voice of customer
- Enables companies to create content experiences that convert better by understanding how users see their sites and apps, what content elements attract them before they click, and why do they bounce or convert
- Enables friction-free experiences by surfacing frustrations and their root causes, ranging from technical errors to slow speeds and UX problems.
- Helps create happy users by collecting feedback directly via surveys, feedback, usability tests, and interviews using Contentsquare Voice of Customer.
At times, Pendo customers compare it directly to Contentsquare’s Experience Analytics product and find that there is very little overlap when comparing these two products. That’s why many companies use Pendo and Contentsquare Experience Analytics together to reap their synergies. In this combination, Pendo provides analytics for what is happening and Contentsquare Experience Analytics answers why it’s happening.
Beyond these core analytics capabilities, many Pendo customers value their platform for its native product walkthrough guides and user engagement orchestration capabilities. Contentsquare does not offer a comparable capability for guides natively but instead provides over 115 integrations with best-of-breed partners including also for product walkthrough guides, personalization, A/B testing, CDP, and many other use cases. When companies have their preferred ecosystem of solutions already in place, the ability to integrate with their existing tools is valued most highly.
What are the main differences between Contentsquare and Pendo?
Instead of jumping into a tool comparison, start from your business goals. What are your biggest business challenges? Choose the platform that’s designed to help you achieve your goals.
Here’s an overview of the main use case differences between Contentsquare and Pendo from our perspective
| Typical business goals and use cases | Contentsquare | Pendo |
|---|---|---|
| How do we create better products and drive user adoption and growth? | Very Strong | Strong, but relatively more limited on analytics and data governance |
| How do we improve marketing acquisition? | Very Strong | Medium |
| How do we improve content experiences and engagement? | Very Strong | Light |
| How do we surface obstacles and prioritize what to fix based on revenue impact? | Very Strong | Very light |
| How do we create happier customers by collecting their feedback and making sense of it? | Medium | Medium |
| Native products beyond analytics? | 100+ integrations with best of breed providers |
Very Strong, e.g. Guides, Orchestration, |
Use cases that both Contentsquare and Pendo do well
The use cases that both Pendo and Contentsquare support well are to
- Create better products and drive user adoption and growth with the help of data and experimentation.
- Create happier customers by collecting their feedback and making sense of it
How do we create better products and drive user adoption and growth?
Both Contentsquare Product Analytics and Pendo are market leaders for web, app, and product analytics capabilities.
On the analytics side of their Product Experience Platform, Pendo provides product analytics used by product teams to understand user behavior and make data-driven decisions.
Since acquiring Heap in 2023, Contentsquare is now a comparable Pendo alternative, with full product analytics capabilities plus additional tools for retention analysis and user segmentation.
Both Contentsquare and Pendo are popular alternatives to product analytics competitors like Amplitude and Mixpanel. Use either to
- Report on sign-ups and product usage
- Measure onboarding and feature engagement
- Stitch user behaviors across sessions and devices
- Track retention and run cohort analysis
- Create custom product analytics dashboards for different teams with templates for common use cases
- Measure the success of SaaS products and ecommerce stores
Retention analysis example in Pendo (top) vs. Contentsquare (bottom)
The biggest difference between Contentsquare Product Analytics and Pendo are the set-up and depth of analytical insights.
Contentsquare provides the marketing leading Autocapture.
Both Pendo and Contentsquare provide autocapture capabilities but Contentsquare has refined its auto capture capabilities for websites and mobile apps with a focus on data governance features that provide insights while reducing the noise.
Contentsquare’s auto capture is market-proven to provide huge benefits for gathering a complete picture of in-page interactions so that teams can answer everyday questions without being stuck with manual tagging:
- No need to plan what click events to track in advance—Contentsquare automatically captures all in-page clicks, taps, field interactions, etc..
- No need to loop engineering in every time there’s a change—unburden engineering to focus on their own scope
- Flexibility to ask new questions of historical data— retroactive data means anyone can go back and troubleshoot or analyze any data point at any time
- Reduced risk of missing critical data needed for answering questions —never worry about forgetting to track a specific event. A more complete data set means better and faster answers to questions.
- Data governance features: Reduce the noise by surfacing only the behaviors that matter, while keeping the rest of the auto capture data in the backpocket. Rest assured that you can always retrieve additional events from the back pocket whenever needed, and mine it with Contentsquare’s automated data science algorithms
- Lower total cost of ownership – Save on the tremendous amount of effort and cost that is spent on traditional analytics for manual tagging.
- Lower fees – Save on the extra fees that some analytics tools that are priced on the number of captured events charge when you increase the number of events you tag.
This approach saves time, money, reduces technical debt, and ensures you always have the data you need to make informed decisions. And it works right out of the box.
Manual tracking vs. autocapture
More granular analytical insights in Contentsquare
Both Pendo and Contentsquare provide high level reports on product and feature adoption. However, as a best-of-breed solution focused purely on the needs for data and insights, Contentsquare Product Analytics goes deeper in regards to the types of questions it can answer. Examples of additional capabilities found in Contentsquare Product Analytics include
- Funnels with automated data science algorithms to reveal hidden friction and opportunity in the user experience, e.g. events that impact drop off at funnel steps
- Engagement matrix: Charts features by volume and frequency of use to understand high value features and how engagement varies across segments, such as mobile users versus web users
- Conversion impact of features clicked
- Automated data feeds into data warehouses via Connect
- And many more
Example: Engagement matrix report in Contentsquare Product Analytics that reveals the most valuable features, i.e. adopted by the most users and used repeatedly
“Within minutes of getting into Contentsquare Product Analytics (powered by Heap), we answered questions we had struggled to even approach with Pendo.” — Mike Siegel, Senior Product Manager – Splash
How do we create happier customers by collecting feedback and listening better?
Voice of Customer (VoC) feedback gives you direct access to what’s going on in the minds of your most important business asset—your customers and product users. For that reason, Pendo and Contentsquare, both provide native VoC tools.
Both Contentsquare and Pendo provide
- User Feedback Collection: Gather qualitative feedback directly from users via surveys and feedback widgets
- User testing: Set up tests for your users to understand how to improve features
- Integration with Product Analytics insights: allowing teams to combine feedback with behavioral data to create more personalized and data-backed product strategies.
Pendo is additionally expanding Pendo Listen with their recent acquisition of Zelta AI
- “Zelta will become part of Pendo Listen, enabling product teams to get AI-powered insights from troves of their user feedback data spread across 150+ sources, like Gong and Zoom calls, support tickets, social review sites, Salesforce records, email and more.”
With Contentsquare, you have the option to integrate with leading Voice of Customer tools or use Contentsquare’s built-in VoC tools. In both cases, the benefit of choosing Contentsquare for Voice of Customer use cases is the ability to make sense of feedback at scale with the help of
- Session replay: 1-click to replay experiences leading up to feedback
- Segmentation, e.g. for Journey Analysis and Heatmaps: Compare journeys and behaviors of users that rated experiences highly vs. poorly
- Root cause analysis: Combine Voice of Customer with Contentsquare Experience Analytics to reveal why users are running into frustrations, e.g. whether it is due to slow speeds, technical errors, UX confusion, or all of the above
- 1-click Impact Quantification from replay: Zoom out from any one feedback to all users to quantify how many other users ran into the same frustrations even if they didn’t leave feedback, and what was the impact on conversion and revenue.
Contentsquare gives you more ways to collect and analyze VoC feedback, powered by Hotjar
What Contentsquare does better than Pendo (and why it matters)
If you’re scrolling through the two vendor’s homepages, Contentsquare and Pendo could look pretty similar—collect data, put it in charts, use it to drive growth, rinse and repeat. But there are plenty of use cases where Contentsquare provides tools that are not a focus for Pendo’s product suite.
Here are the main things to know.
How do we improve marketing acquisition?
For marketers working on acquisition challenges, both Pendo and Contentsquare provide high-level metrics on campaign traffic and conversion, but Contentsquare Product Analytics does so with out of box capabilities, i.e. no need to set up custom events.
Contentsquare’s Product Analytics capabilities let you gain deep insight into your customer acquisition channels, e.g. traffic and conversion metrics by campaign..
A marketing acquisition overview dashboard in Contentsquare
With the addition of Contentsquare Experience Analytics, your firepower for increasing Marketing ROI goes up dramatically.
Visual analytics
With Contentsquare Experience Analytics added to your ecosystem, you also get comprehensive visual analytics for improving Marketing ROI:
- Zone-Based Heatmaps show exactly which elements are driving conversions and revenue, e.g. on campaign landing pages —use them to make a case for changes, demonstrate the success of an experiment, and compare side-by-side segment behavior
- Live Zoning overlays metrics directly onto your website—use the CS Live Chrome extension to visualize how people interact within your website pages in real-time
- Sunburst Journey Maps visualize customer journeys in a way that is more helpful for discovery of unexpected behaviors. It displays a top-down view of all user flow through the entire website or app at one glance. Similar pages are grouped into page types to reduce the noise It even lets you compare journeys side by side to understand differences in journeys for marketing acquired users that complete their journeys vs. those that bail along the way.
By combining visual analytics and traditional charts, Contentsquare gives you ways to understand why marketing acquired traffic is bouncing and what content A/B tests are most likely to improve results. That use case of informing the best A/B tests to run for reducing bounces and increasing conversions is one of the biggest value-drivers for companies using Contentsquare Digital Experience Analytics for improving marketing acquisition.
Visual, side by side insights for A/B testing programs in Contentsquare
Another example of Contentsquare’s value for improving Marketing ROI is through its integration with all leading A/B testing platforms, including Adobe Target, AB Tasty, Optimizely, Monetate, Kaneleoono, and VWO.
For Marketers looking to run A/B tests for reducing bounces and increasing marketing campaign conversions, these integrations help to improve results in 3 ways:
- Use Contentsquare’s AI-powered insights to identify new opportunities for experimentation, i.e. what are the best tests to run that are most likely to move the needle?
- See exactly what impacts conversions and revenue during the tests using side-by-side Zone-based Heatmaps
- Understand exactly why variants won (and lost) to iterate more effectively on future tests and design changes
Visualize the outcome of A/B test variants with side-by-side Zone-Based Heatmaps in Contentsquare
The result is a faster path to Marketing ROI, a win win.
Import Google Advertising Audiences into Contentsquare to visualize and troubleshoot their experiences
With Google’s dominance for digital marketing, many of your ad investments will naturally be through Google’s advertising products. That’s where Contentsquare’s integration with Google makes it easier to improve your ROI on Google ad campaigns.
As documented In Google Analytics 4 (GA4) help pages, “Audiences [in GA4] are groups of users […] who have generated similar behavioral data or who share demographic or other descriptive data (e.g., same age group, same gender, were acquired by the same campaign). You can share audiences with the advertising products you use, like Google Ads, so you can market to specific groups of users.”
Wouldn’t it be helpful if you could import those same Google Ads Audience definitions into Contentsquare to gain immersive visual insights into their behavior when they browse your site? What content attracts them vs. doesn’t? What is their intent? What are their experiences?
That’s exactly what you can do with the integration between Contentsquare Experience Analytics and GA4.
- Seamlessly bring your GA4 Audiences into Contentsquare to enhance your analysis and insights.
- Filter any heatmap or search for replays by selecting the imported GA4 Audiences
- Find improvement opportunities for journeys and content based on the audience’s wants and needs as demonstrated by their behaviors and struggles
- Apply those lessons learned back to your ad campaigns in the Google Marketing Platform
Import and selecting a GA 4 Audience to filter any report in Contentsquare
Perfect synergetic use case for a win win!
How do we surface obstacles and prioritize what to fix based on revenue impact?
No company can afford to lose customers and users because of frustrations on their sites and apps. That’s where session replay helps for stepping into the shoes of users and seeing what they are experiencing.
While Pendo has recently added session replay to its product offering, there is a lot more that seasoned Digital Experience Analytics and Monitoring tools such as Contentsquare provide for identifying points of friction, their root causes, and business impact.
Technical error analytics and resolution
Using Contentsquare you can also
- Combine Error Monitoring + Session Replays for websites and mobile apps —automatically detect errors, then view relevant session replays to see exactly what users experienced before, during, and after the error occurred, e.g. JS errors, API errors, app crashes, console logged errors, and custom defined errors such as form validations.
- Save time with Frustration Scoring + Session Replays – by ranking which sessions to replay that are most likely to be insightful
- Enable Advanced Support teams to resolve escalated issues by replaying the exact sessions related to customer service tickets, understanding root causes of issues down to errors, granular network details, request/response headers, and bodies.
- Ensure security by enabling only authorized personnel to decrypt customer data needed for handling the customer’s service tickets
- Enable engineers to see the full waterfall of network details behind every replay so they can understand what leads up to bugs and fix them quickly/
- Get customizable real-time error alerts and dashboards that rally your team around critical issues
- Make it easy to file tickets via Jira or rally teams to action via Slack and Microsoft Teams.
Save time focusing in high-impact optimizations with Contentsquare’s AI-powered insights such as Frustration Score
Error tracking in Contentsquare
Perhaps the two most popular capabilities in Contentsquare for technical teams tasked with ensuring friction-free experiences are text search and 1-click impact quantification.
- Only Contentsquare provides retroactive text search which enables teams to
- Surface and quantify all occurrences where site users encountered unexpected error messages of any kind, e.g. “Oops, something went wrong.”
- Visualize how users experience these messages,
- To learn things that technical teams didn’t already know from their APM tools such as Dynatrace, Datadog, etc.,
- Only Contentsquare enables 1-click impact quantification of behaviors and errors directly from session replay.
- Spot any issue or error? Simply select the issue or behaviors leading up to it and quantify with one click to see how many others experience the same problems
- Contentsquare automatically compares the segment of customers that experience the issue vs. those that don’t experience it at that point to calculate the true impact of the problem
- This is what enables teams to go from one to many and prioritize the issues that will actually move the needle for the business and for customers.
Example of error capture and impact quantification in Contentsquare
Speed Analysis
There is more than just errors, though, that causes users to abandon. Slow speeds will be enough to turn off users. So, Contentsquare helps you identify where the site is too slow so that users are losing interest.
- Contentsquare provides speed analysis based on real user monitoring (RUM) to identify performance issues affecting conversion. Most importantly, this lets you quantify the conversion impact of slow speeds.
- Contentsquare also provides additional Speed Analysis tools based on Synthetic Monitoring, i.e. lab testing. Teams use these to
- Speed test new product releases before launching them to avoid costly blunders.
- Automatically speed test production experiences to get alerted if performance degrades.
- Get automated tips for what is hurting performance and how to speed it up.
Example of quantifying the business impact of poor performance
UX Problems
Oftentimes, websites and apps work exactly as designed, but too many users are confused and frustrated anyways. Catching these issues requires data that goes beyond link click data captured by typical product analytics tools. For example, in Contentsquare you will also be able to visualize
- Clicks on un-clickable content where users think something should be clickable
- Recurring or rage clicks, a telltale sign that something is not quite right.
- Clicks leading to errors
- Multiple repeated form field interactions suggesting struggle and too much effort
- Automated form analysis with metrics such as drop-rates, refill-rates, blank rates
- Side by side journey analysis, e.g. to compare journeys where users rated their experience 5-stars vs. just 1 star.
- Replays of Voice of Customer feedback
- And much more
The depth and breadth of the capabilities for Experience Monitoring in Contentsquare makes it easy to see why technical teams flock to the solution for ensuring smooth operations, no matter whether they may use it alongside Pendo or Contentsquare Product Analytics.
Is Contentsquare or Pendo better for your team?
What’s your primary reason for using a platform like Contentsquare, Pendo or alternatives? If it’s primarily about product walkthrough guides and user engagement, Pendo will be the better choice.
But if it is about deeply understanding users and their journeys to answer everyday questions at scale, Contentsquare Product Analytics has proven itself to be providing those answers thanks to more granular insights and a superset of capabilities for autocapture combined with data governance.
If it’s whole-business growth, Contentsquare goes even further as the only all-in-one platform that combines product and comprehensive experience analytics, monitoring, and Voice of Customer feedback to tackle growth from all angles.
Ready to see which solution fits your team best? Take the 6-minute Contentsquare product tour to discover how we turn your data into growth-driving insights.
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FAQs about Contentsquare vs. Pendo>
What is Pendo?
Pendo is a product experience platform that helps companies optimize user engagement, improve product adoption, and drive business growth through data-driven insights. It offers tools for product analytics, in-app messaging, and user feedback collection to support product teams in making informed decisions. Founded in 2013, Pendo serves businesses across various industries, enabling them to create more personalized and impactful product experiences for their users.
What is Contentsquare?
Contentsquare is the leading all-in-one experience intelligence platform founded in Paris in 2012 by Jonathan Cherki. The company has raised over $1.4 billion in funding and acquired tools like Pricing Assistant and Clicktale (2019), Hotjar (2021), and Heap Analytics (2023). Today, Contentsquare has a team of 1,800+ across 16 global offices.
What are the top Pendo competitors?
The top Pendo competitors include
- Contentsquare
- Heap
- Amplitude
- Mixpanel
Net Promoter®, NPS®, NPS Prism®, and the NPS-related emoticons are registered trademarks of Bain & Company, Inc., NICE Systems, Inc., and Fred Reichheld. Net Promoter ScoreSM and Net Promoter SystemSM are service marks of Bain & Company, Inc., NICE Systems, Inc., and Fred Reichheld.
