Contentsquare vs Heap: which is the best platform to grow your brand?

The information on this page is correct as at 26/05/2020 to the best of Contentsquare's understanding.

Good news: if you’re comparing Contentsquare vs Heap you can’t go wrong. 🥳

In fact, Contentsquare acquired Heap in 2023 and integrated its Product Analytics with Contentsquare so users can take advantage of both as a combined, integrated platform.

That means, the real questions to ask are not Heap vs. Contentsquare, but 

• Why do many teams combine both?

• How do Heap and Contentsquare complement each other?

• Which is the better starting point for you, based on your goals? 

Keep reading to see exactly how to use Contentsquare and Heap to solve critical business challenges, compare the different tools and features that come with each product, and decide which option is the best next step for your team based on your needs.

TL;DR

• Heap (now Contentsquare Product Analytics) is one of the top product analytics tools: use it to understand what’s happening on your websites and apps 

• Contentsquare is the leading all-in-one experience intelligence platform: use it to understand why users do or don’t complete their journeys and how you can best improve experiences 

• Whichever product you choose to start with, you’ll be able to

• Save time and money by automatically capturing digital behaviors without having to pre-plan or burden engineering with constant tagging (we call it Smart Capture)

• Get context about every user action with integrated session replay 

• Go beyond traditional analytics such as Google Analytics (GA4)

• Leverage AI to automatically pull impactful optimizations from across your data

Heap vs. Contentsquare autocapture

Unlike most Heap alternatives (like Mixpanel, GA4, or Amplitude), Contentsquare and Heap automatically collect all behavior data so you can answer questions retroactively. We call it Smart Capture.

💡 This means you get

• Lookback analytics data whenever you need it: for example, if you discover an unexpected spike in sign-ups, you can immediately investigate the source

• No need to loop in the engineering team whenever there’s an update: data teams, marketers and product managers get back control over their data without waiting for additional tags to be added

• Flexibility to ask new questions of historical data: uncover insights from past campaigns or feature launches

• Reduced risk of missing critical data: never worry about forgetting to track a specific event

• 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 fees that some analytics tools (like. GA4) charge for capturing additional event data

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 in both Heap and Contentsquare.

Autocapture event data in Heap and Contentsquare to simplify your analytics setup

What you get with Contentsquare Product Analytics 

Contentsquare Product Analytics (formerly Heap) is built for product, data, and marketing teams who need to understand usage, growth, and retention. It covers the everyday questions: which features get adopted, where users drop off, what drives repeat visits, how journeys complete across devices and sessions.

Here’s what you get:

• Funnels, paths, retention, and segmentation: complete product analytics across websites and apps with no manual event tagging

• Acquisition analytics: traffic and conversion by campaign, channel, and source (including LLMs)

• Cross-device and lifetime journeys: how users move between web, app, and sessions, and what drives long-term value

• Session replay: one-click replays to see the what and why behind the numbers

• Sense AI: talk to your data in simple language, get proactive insights, and automatic impact quantification (more on Sense below)

• Data Connect: sync autocaptured, AI-ready data directly into Snowflake, BigQuery, Redshift, and other warehouses

MCP: pull insights directly from AI agents like Chat GPT or Claude

Chat with your analytics data using Sense

Click to view relevant session replays to troubleshoot funnel dropoffs

What the rest of the platform adds 

Product Analytics gives you the wide view: how users move through your product over time, across sessions and devices. The rest of the Contentsquare platform zooms in: what's happening on a page, why something's failing, what users say about it, and why they're calling support.

Together, they give you full journey intelligence:

• Experience Analytics: visual context behind user actions 

  • Heatmaps: see which page elements drive clicks, revenue, and conversion

  • Journeys: a sunburst view of every path users take through your site, with side-by-side comparisons

  • Impact Quantification: rank UX issues by lost revenue and conversions

  • CS Live: overlay performance metrics on your live site as you browse

• Experience Monitoring: uncover obstacles and prioritize fixes

  • Error Analysis: JavaScript, API, and functional errors, ranked by conversion and revenue impact

  • Speed Analysis: Core Web Vitals and page load tracking

  • Frustration Scoring: AI detection of rage clicks, dead clicks, and form struggle

  • Alerts: real-time notifications when conversions or errors spike

• Voice of Customer (VoC): what users tell you, tied to what they do

  • In-product surveys and feedback widgets: capture sentiment in the moment, without breaking the journey

  • AI sentiment analysis: surface themes across thousands of responses

  • Feedback tied to behavior: link a comment to the exact session that prompted it

• Conversation Intelligence: why customers contact support and what it means for your product

  • Support conversation analysis: turn tickets, chats, and calls into product insight

  • Issue prioritization: surface the issues driving the most contact volume, ranked by impact

What makes Contentsquare powerful isn't having a collection of different tools, it's combining them to get better insights, faster. “Instead of abstract data and numbers in columns, [Contentsquare shows us] what people are doing on our website. We can see their experience. It’s visual." - Jan-Willem Wilmsen, Digital Specialist at E.ON

Here are a couple of ways that might work in your company: 

• Live browsing heatmaps (CS Live) + Impact Quantification: identify which CTAs bring the most clicks, then quantify how much revenue they’re driving

• Error Monitoring + Session Replay: automatically detect errors, then view relevant session replays to see exactly what users experienced before, during, and after the error occurred

• Frustration  Scoring + Session Replay: save time by skipping straight to the most relevant sessions

• Funnel Analysis + Journeys: identify dropoffs in your funnel, then see alternative paths users take to optimize goal conversion

Use the complete Contentsquare platform to combine Product Analytics with full journey intelligence 

Of course, combining insights is even easier when you’re leveraging AI to do the hard work for you. Which brings us to:

Sense AI: expert-level analysis, on autopilot

Sense is the AI layer that works across Contentsquare, running multi-step analysis and summarizing what matters. You’ll get:

• Sense Analyst: runs deep, multi-step analyses on demand and in the background

• Sense Chat: ask questions in simple language (like "why are users dropping off at checkout?") and get an answer in seconds, backed by data and next steps

• Summaries: instant overviews of heatmaps, errors, session replays, and journeys to skip to the juicy bits

• Mapping: automatic page mappings, even when you make updates

And if your team prefers asking questions inside ChatGPT, Claude, or Microsoft Copilot, our MCP connects Contentsquare directly to whichever AI agent you already use.

Which is better for your business use cases, Heap or Contentsquare? 

So how do you know if you only need Contentsquare Product Analytics (formerly Heap) or the wider platform? Here’s how Heap and Contentsquare complement each other for common digital use cases.

Does your team need Contentsquare or Heap? 

While there’s some overlap between core features (for example, you’ll get session replays in both Product Analytics and Experience Analytics), different parts of the Contentsquare platform cater to different use cases. 

Here's how to choose the best starting point:

📈Start with Product Analytics if 

• Your existing product analytics tool is making it too hard to answer everyday questions due to constant gaps in the data and the effort of complex tagging 

• You’re looking for alternatives to traditional analytics such as GA4

• You want to better understand journeys and conversion funnels across devices and user lifetime

• You want to track product and feature adoption, what drives loyalty and what causes churn

• You want to answer everyday questions and prioritize what features of your sites and apps to keep, which to drop, and which to enhance, all based on business impact

🔥 Choose Contentsquare as your starting point if

• You want to know where customers abandon your journeys, why it’s happening, and how to improve results

• You want to step into the shoes of your users to see how they experience your sites and apps with the help of immersive visualizations

• You want to surface the root causes behind struggles with robust error tracking, speed analysis, and UX frustration scoring

• You want to use these insights to prioritize how to innovate better experiences, how to improve them, and how to fix them based on business impact

🎯 Regardless of whether you start with Heap or Contentsquare, you’ll benefit from 

• Advanced AI-powered insights to quickly identify and prioritize high-impact optimizations

• Enterprise-level features including advanced security, privacy controls, and dedicated support

• Smart Capture automatic data collection across websites and apps

• Generous free plans to get started with 

 Ultimately, you need to see inside each product yourself to get a feel for which meets you where you’re at right now. 

Get it done today by taking a product tour or requesting a demo to see how both platforms turn your data into growth-driving insights.

FAQs about Contentsquare vs Heap