Fullstory alternatives: How the top competitors compare in 2026

Fullstory gives teams the complete picture of user behavior, powering everything from product analytics to . Still, teams evaluate Fullstory competitors for all kinds of reasons, from niche use cases to stack fit.

Below, we compare Amplitude, Contentsquare, Mixpanel, and other top platforms on capture, AI-powered insights, privacy, and mobile. You'll see where each one shines and where it falls short.

Fullstory alternatives at a glance

Here's a quick look at what each alternative to Fullstory does best and the features it's known for.

We've grouped these alternatives by what they do best and how each one compares to Fullstory.

Product analytics

Product analytics tools should show you how people move through your product and where events like drop-offs or conversions occur. Most now offer some form of autocapture, but what they capture and the required setup vary.

• Amplitude: Amplitude is an established event analytics platform, with strong experimentation features and a growing set of AI agents. Its autocapture covers frontend interactions on web and mobile, but server-side events and backend logic still require manual tracking.

• Mixpanel: Mixpanel automatically tracks clicks and page views on websites, showing where users drop off. In mobile apps, though, it mainly tracks which screens people visit, missing more context like taps or other actions.

• Pendo: Pendo pairs product analytics with in-app guides, which makes it a natural fit for onboarding and feature adoption. Session replay only comes with its higher-tier plans, so teams starting on the Base plan may need to upgrade or look at an alternative platform.

• Heap: Heap's autocapture and retroactive events let teams answer questions about interactions they never planned to track. Heap is now part of Contentsquare, meaning its roadmap and packaging are increasingly tied to that platform.

With most of these tools, some of the picture still takes extra setup. Fullstory captures it from the start. Fullcapture logs everything users do on your website and app from day one. StoryAI then looks across all of that data to spot where users struggle, like form abandonment or rage clicks, and answer your questions in plain language. Your team finds out why things happen without building reports by hand.

Wahi saw this firsthand. After switching to Fullstory, the real estate platform doubled its year-over-year conversion rate by identifying and fixing friction points in its user journeys.

"We knew the limitations of other platforms when it came to understanding the nuances of user behavior. Fullstory was a no-brainer—it allowed us to see exactly where our users were struggling and, more importantly, why." - Simon Trudeau,

- Head of Analytics & Optimization at Wahi

Capture every interaction automatically and act on user behavior.

Explore product analytics ➜

Enterprise analytics

Enterprise analytics platforms capture behavior at scale without draining your team's time or putting sensitive data at risk. Most offer deep features, but how they're packaged and how much work they take to run vary.

• Contentsquare: Contentsquare is built for large digital teams, with an AI agent called Sense Analyst and strong heatmap and journey analysis. It now includes Heap and Hotjar, so features and pricing are spread across several products.

• Quantum Metric: Quantum Metric automatically captures a wide range of behavioral and technical data, and its AI flags issues and estimates their revenue impact. It's built to catch problems fast, but it's narrower than a full behavioral data platform.

• Adobe Analytics: Adobe Analytics offers in-depth marketing analytics and is well-suited for teams already using other Adobe tools. It relies on manual setup to track events, which adds ongoing work for your developers.

Each of these platforms comes with a tradeoff, from juggling multiple products to ongoing manual setup. Fullstory gives enterprise teams complete data without the extra time or effort. Fullcapture indexes every interaction automatically, and Private by Default protects sensitive data from the start. StoryAI is backed by ISO 42001-certified AI governance.

For TBC Bank, complete behavioral data paid off quickly, increasing conversion rate by 145% by identifying and fixing friction in key journeys.

“Fullstory has transformed the way we do business; now we're able to pinpoint issues using data we can trust to optimise the user journey.” - Ana Ebanoidze, Team Lead for Business App & Customer Acquisition

- TBC Bank

Mobile app analytics

Mobile analytics tools should capture every tap and swipe without slowing your app down or exposing sensitive data. As more customer journeys happen in apps, you need that keep up. Unfortunately, not every tool tracks app behavior to the same extent.

• Microsoft Clarity: Clarity is free and unlimited, with session replay and heatmaps for mobile apps. It's a solid starting point for smaller teams, but it misses parts of the app experience, like navigation bars and notifications. Its heatmaps also cap out on high-traffic screens.

• Smartlook: Smartlook is quick to set up and records mobile sessions across native and cross-platform apps. By default, though, it builds recordings from screenshots of the app screen. That can capture sensitive data and add load on the device unless your team switches to its wireframe mode.

Fullstory captures app behavior without screenshots, keeping sensitive information protected without extra setup. Its ultralight SDK keeps your app fast, and frustration signals like dead taps are flagged automatically. Since mobile and web data live in one place, your team sees the complete customer journey without switching between tools.

When CINC brought Fullstory to its native mobile apps, the real estate platform cut time to resolution for mobile issues by 25% and raised overall customer satisfaction by 20%.

“Solving mobile issues can be extremely difficult. With other analytics platforms, we could only get a fraction of the story—but Fullstory makes decision-making easier by grouping all of our mobile data together in one place. Since implementing Fullstory on our native mobile apps, we’ve been able to resolve significant mobile issues in days rather than months, and decrease churn associated with frustrating mobile experiences.” - Joshua Lowe,

- Product Manager, CINC

Capture every tap without slowing your app down.

Explore mobile analytics ➜

Technical monitoring

Technical monitoring tools help your team find and fix bugs fast, with context on how far the issue has spread. Most catch errors well, but fewer show how users experience the error.

• LogRocket: LogRocket pairs session replays with network, console, and app state logs, enabling developers to reproduce bugs quickly. Its Galileo AI summarizes sessions and answers questions in plain language, though some detection features, like dead clicks, aren't available on mobile.

• PostHog: PostHog bundles analytics, session replay, error tracking, and feature flags into one open-source toolkit. It's popular with developer-led teams that want to self-host and customize their setup, which means more hands-on configuration.

• Datadog: Datadog is a leader in infrastructure and application monitoring, and its RUM product links front-end sessions to backend traces. Its strength is system health, and behavioral analysis sits in separate products rather than at the core of the platform.

• Dynatrace: Dynatrace offers broad, automated observability across complex enterprise systems. Its depth comes with a steeper learning curve, which can slow down teams that just need quick answers about user-facing issues.

These tools are strong at flagging that something broke, but they don't always show what it means for your users. Fullstory connects every error to the user behavior around it, so your team can fix the worst issues before they spread. StoryAI flags issues like rage clicks, failed network requests, and app crashes automatically, and it sends alerts straight to Slack or Jira.

Faster detection makes a measurable difference. Within weeks of adopting Fullstory, Jumbo Interactive, which runs Australia's largest online lottery site, found a shopping cart bug that was impacting conversions. Their error monitoring tool had missed it for months, and fixing it saved tens of thousands of dollars in revenue.

"Within weeks of the Fullstory code being installed, we identified a major bug that was impacting our conversions and wasting tens of thousands of dollars in revenue. Our error monitoring tool never surfaced the issue, and even if it had, we would not have had the context or the total impact of users affected. Without Fullstory we may never have found this issue.” Patrick Gordon,

- Principal Product Manager, Jumbo Interactive

Why teams choose Fullstory

If your team needs the full context behind users’ actions, Fullstory is built for exactly that. Here's what sets us apart.

• Faster action enablement: With one source of behavioral data truth for product, engineering, data, and CX teams all work to solve problems fast.

• Lower development costs: While other tools require a fragile and engineering-dependent implementation, FS enables full and 100% retroactive data collection with no manual event tagging.

• Clearer root cause analysis: AI analysis is only as accurate as the data feeding it. FS’s more comprehensive website analytics enables more precise action on the root causes.

“Before Fullstory, we had a lot of data like dashboards, segments, and funnels. We knew what was happening, but we didn't really understand why it was happening. Fullstory made behavioral data so easy to use. Anyone, like a PM, an analyst, a fraud analyst, an engineer, can experience what the consumer is actually experiencing. And that is what made us much more data-first and much more experimental.”

- Josefine Rapti Harrskog, Business Operations Manager Klarna

See what complete behavioral data can do for your team.

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