Contentsquare vs. Fullstory

Which is right for you?

Fullstory focuses on user behavior, helping companies understand what customers do on a website or app. Contentsquare has a broader range of features that reveal both what users do and why.

Image— Comparison > Quantum Metric
Contentsquare vs. Fullstory
Summary

Contentsquare gives you a deeper understanding of your customers than Fullstory

Only Contentsquare provides the combination of:

  1. An all-in-one platform. Instead of using multiple tools, you get Experience Analytics, Voice of Customer, Product Analytics, and more in one place.

  2. Practical AI assistance. Ask Sense any question about your data to get answers and recommendations.

  3. Flexible plans. You can start by using just one of Contentsquare’s products—like Experience Analytics—then add more capabilities later.

[Customer Story] [Clarins] Journey Analysis

How well do the platforms show you what customers are experiencing?

Both platforms include session replay and heatmaps, but only Contentsquare gives you in-depth visualizations of user journeys.

Image — Contentsquare Logo -Black
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Analyze interactions on individual pages with heatmaps
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Analyze how individual page elements affect outcomes
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Capture and analyze the full user experience
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Compare different journeys side-by-side
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Understand how user behaviors affect key outcomes
See how journeys and interactions affect conversion, acquisition, and return on investments
Image — Fullstory Logo
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Analyze interactions on individual pages with heatmaps
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Analyze how individual page elements affect outcomes
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Capture and analyze the full user experience
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Compare different journeys side-by-side
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Understand how user behaviors affect key outcomes

How well do the platforms help you troubleshoot errors and friction?

Like Contentsquare, Fullstory has a range of tools for detecting errors and other sources of friction and frustration. But Contentsquare also offers synthetic monitoring, which helps you proactively monitor site performance.

Image — Contentsquare Logo -Black
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Detect errors and friction
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Find where users are most frustrated
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Analyze speed with real user monitoring (RUM)
RUM helps you identify long-term trends in how users experience your website or app
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Analyze speed with synthetic monitoring
Synthetic monitoring allows you to proactively monitor key pages and workflows to identify issues before users are impacted.
Image — Fullstory Logo
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Detect errors and friction
Icon — Checkmark
Find where users are most frustrated
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Analyze speed with real user monitoring (RUM)
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Analyze speed with synthetic monitoring

How well do the platforms help you get input and feedback from real people?

Contentsquare gives you multiple ways to learn from your audiences—and even lets you run user tests on designs and prototypes. 

Image — Contentsquare Logo -Black
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Surveys and feedback collection
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User interviews
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User testing
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Integration with 3rd party Voice of Customer tools
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Surveys and feedback collection
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User interviews
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User testing
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Integration with 3rd party Voice of Customer tools

How well do the platforms analyze cross-platform, multi-session journeys?

Contentsquare’s Chat with Sense helps you get you a fast, complete picture of what drives retention and customer lifetime value.

Image — Contentsquare Logo -Black
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Analyze multi-session journeys
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Analyze cross-platform journeys
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Ask AI to analyze your data
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View feature engagement stats
See which features are used most so you can prioritize your roadmap
Image — Fullstory Logo
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Analyze multi-session journeys
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Analyze cross-platform journeys
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Ask AI to analyze your data
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View feature engagement stats

We knew that embedding Contentsquare as an integral tool in our trading rhythm was a key driver in achieving our goals. In order to do that, we needed to drive engagement and adoption up across our whole team in a sustainable way.

Claudene Scott
Ecommerce and Digital Lead
Contentsquare vs. Fullstory use cases

Contentsquare unites more of your teams around a single source of truth

Fullstory’s main strength is helping companies find and resolve conversion blockers. Contentsquare is strong in this area too, while also solving problems for marketing, product, design, analytics, and IT.

Use Case
Image — CSQ Logo - Red
Fullstory
Improve marketing acquisition
Very Strong
Medium
Create better products, experiences, and A/B tests
Very Strong
Medium
Collect feedback from customers
Medium
Run user tests and interviews
Medium
Empower and align all teams (not just technical ones)
Very Strong
Medium
Send AI-ready data to tools like Snowflake, Redshift, and Big Query
Very Strong
Strong
Find conversion blockers
Very Strong
Very Strong
Prioritize what to fix based on conversion impact
Very Strong
Very Strong
Provide extensive customer support and community
Very Strong
Very Strong
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Frequently asked questions

  • Product Analytics focuses on how users engage with features across your digital products by tracking adoption, retention, and user journeys. Experience Analytics, on the other hand, zooms in on user experience quality—like frustration signals and content performance. Together, they offer a full picture of what users do and how they feel, but Product Analytics is your go-to for feature-level decisions.