Alternatives to FullStory logo

Alternatives to FullStory

Hotjar, LogRocket, ClickTale, Google Analytics, and Mixpanel are the most popular alternatives and competitors to FullStory.
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What is FullStory and what are its top alternatives?

FullStory is a powerful digital experience analytics tool that allows users to track and analyze user interactions on their websites or apps. Its key features include session replay, heatmaps, funnel analysis, and error tracking. However, some limitations of FullStory include its pricing and the fact that it may not be suitable for all types of businesses or industries.

  1. Hotjar: Hotjar offers heatmaps, session recordings, and surveys to help businesses understand how users interact with their website. Pros include affordability and a variety of tools, while cons include limited customization options.
  2. Insightech: Insightech provides user behavior analytics and session replays to track and analyze customer actions. Pros include real-time data and customizable insights, while cons include limited integration options.
  3. Mouseflow: Mouseflow offers session replay, heatmaps, and funnels to help businesses visualize user behavior on their websites. Pros include advanced filtering options and real-time analytics, while cons include higher pricing compared to some competitors.
  4. Lucky Orange: Lucky Orange provides heatmaps, session recordings, and live chat features for analyzing user behavior. Pros include affordability and easy setup, while cons include limited customization options.
  5. Crazy Egg: Crazy Egg offers heatmaps, scrollmaps, and confetti reports to help businesses understand user interactions. Pros include user-friendly interface and detailed visualizations, while cons include limited integrations.
  6. Inspectlet: Inspectlet provides session recording, heatmaps, and form analytics to track user behavior on websites. Pros include customizable data analysis and advanced filtering options, while cons include limited data export capabilities.
  7. SessionCam: SessionCam offers session replays, heatmaps, and conversion funnels to analyze user behavior and improve website performance. Pros include comprehensive data insights and integration with major platforms, while cons include higher pricing for advanced features.
  8. Smartlook: Smartlook provides session recordings and heatmaps to help businesses visualize user interactions and improve website usability. Pros include affordability and easy integration, while cons include limited customization options.
  9. Matomo: Matomo is an open-source analytics platform that offers session recording, heatmaps, and user behavior tracking tools. Pros include data privacy and full control over analytics, while cons include the need for technical setup and maintenance.
  10. Freshmarketer: Freshmarketer offers conversion optimization tools including heatmaps, A/B testing, and session replay features. Pros include integrated marketing automation and CRM capabilities, while cons include limited customization options compared to specialized tools.

Top Alternatives to FullStory

  • Hotjar
    Hotjar

    See how visitors are really using your website, collect user feedback and turn more visitors into customers. ...

  • LogRocket
    LogRocket

    LogRocket combines session replay, performance monitoring, and product analytics – empowering software teams to create the ideal product experience. ...

  • ClickTale
    ClickTale

    ClickTale tracks every mouse move, click and scroll, creating playable videos of customers’ entire browsing sessions as well as powerful visual heatmaps and behavioral reports that perfectly complement traditional web analytics. As a fully hosted subscription service, ClickTale is cost-effective and quick to set up. ...

  • Google Analytics
    Google Analytics

    Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications. ...

  • Mixpanel
    Mixpanel

    Mixpanel helps companies build better products through data. With our powerful, self-serve product analytics solution, teams can easily analyze how and why people engage, convert, and retain to improve their user experience. ...

  • Inspectlet
    Inspectlet

    Inspectlet records videos of your visitors as they use your site, allowing you to see everything they do. See every mouse movement, scroll, click, and keypress on your site. You never need to wonder how visitors are using your site again. ...

  • Pendo
    Pendo

    Use Pendo to create more engaging products. With absolutely no coding, understand everything your customers do in your product and use in-app messages to increase engagement. ...

  • Heap
    Heap

    Heap automatically captures every user action in your app and lets you measure it all. Clicks, taps, swipes, form submissions, page views, and more. Track events and segment users instantly. No pushing code. No waiting for data to trickle in. ...

FullStory alternatives & related posts

Hotjar logo

Hotjar

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    Sometimes #ad-blocking addons can cause a real headache when working with JavaScript apps. Onboarding assistants (Appcues + elevio ), chat (Intercom) and product usage insight (Hotjar) have all landed on their blacklists. I guess there is a perfectly good reason for this that I just don't know.

    In order to fix this, we had to set up our own content delivery service. We chose Amazon CloudFront and Amazon S3 to do the job because it has a good synergy with Heroku PaaS we are already using.

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    Jason Barry
    Cofounder at FeaturePeek · | 7 upvotes · 165.9K views

    Segment has made it a no-brainer to integrate with third-party scripts and services, and has saved us from doing pointless redeploys just to change the It gives you the granularity to toggle services on different environments without having to make any code changes.

    It's also a great platform for discovering SaaS products that you could add to your own – just by browsing their catalog, I've discovered tools we now currently use to augment our main product. Here are a few:

    • Heap: We use Heap for our product analytics. Heap's philosophy is to gather events from multiple sources, and then organize and graph segments to form your own business insights. They have a few starter graphs like DAU and retention to help you get started.
    • Hotjar: If a picture's worth a thousand words, than a video is worth 1000 * 30fps = 30k words per second. Hotjar gives us videos of user sessions so we can pinpoint problems that aren't necessarily JS exceptions – say, logical errors in a UX flow – that we'd otherwise miss.
    • Bugsnag: Bugsnag has been a big help in catching run-time errors that our users encounter. Their Slack integration pings us when something goes wrong (which we can control if we want to notified on all bugs or just new bugs), and their source map uploader means that we don't have to debug minified code.
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    LogRocket logo

    LogRocket

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      Johnny Bell

      For my portfolio websites and my personal OpenSource projects I had started exclusively using React and JavaScript so I needed a way to track any errors that we're happening for my users that I didn't uncover during my personal UAT.

      I had narrowed it down to two tools LogRocket and Sentry (I also tried Bugsnag but it did not make the final two). Before I get into this I want to say that both of these tools are amazing and whichever you choose will suit your needs well.

      I firstly decided to go with LogRocket the fact that they had a recorded screen capture of what the user was doing when the bug happened was amazing... I could go back and rewatch what the user did to replicate that error, this was fantastic. It was also very easy to setup and get going. They had options for React and Redux.js so you can track all your Redux.js actions. I had a fairly large Redux.js store, this was ended up being a issue, it killed the processing power on my machine, Chrome ended up using 2-4gb of ram, so I quickly disabled the Redux.js option.

      After using LogRocket for a month or so I decided to switch to Sentry. I noticed that Sentry was openSorce and everyone was talking about Sentry so I thought I may as well give it a test drive. Setting it up was so easy, I had everything up and running within seconds. It also gives you the option to wrap an errorBoundry in React so get more specific errors. The simplicity of Sentry was a breath of fresh air, it allowed me find the bug that was shown to the user and fix that very simply. The UI for Sentry is beautiful and just really clean to look at, and their emails are also just perfect.

      I have decided to stick with Sentry for the long run, I tested pretty much all the JS error loggers and I find Sentry the best.

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      ClickTale logo

      ClickTale

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          Alex Step

          We used to use Google Analytics to get audience insights while running a startup and we are constantly doing experiments to lear our users. We are a small team and we have a lack of time to keep up with trends. Here is the list of problems we are experiencing: - Analytics takes too much time - We have enough time to regularly monitor analytics - Google Analytics interface is too advanced and complicated - It's difficult to detect anomalies and trends in GA

          We considered other solutions on a market, but found 2 main issues: - The solution created for analytic experts - The solution is pretty expensive and non-automated

          After learning this fact we decided to create AI-powered Slack bot to analyze Google Analytics and share trends. The bot is currently working and highlights trends for us.

          We are thinking about publishing this solution as a SaaS. If you are interested in automating Google Analytics analysis, drop a comment and you'll get an early access.

          We will implement this solution only if we have 20+ early adaptors. Leave a message with your thought. I appreciate any feedback.

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          Tim Specht
          ‎Co-Founder and CTO at Dubsmash · | 14 upvotes · 958.2K views

          In order to accurately measure & track user behaviour on our platform we moved over quickly from the initial solution using Google Analytics to a custom-built one due to resource & pricing concerns we had.

          While this does sound complicated, it’s as easy as clients sending JSON blobs of events to Amazon Kinesis from where we use AWS Lambda & Amazon SQS to batch and process incoming events and then ingest them into Google BigQuery. Once events are stored in BigQuery (which usually only takes a second from the time the client sends the data until it’s available), we can use almost-standard-SQL to simply query for data while Google makes sure that, even with terabytes of data being scanned, query times stay in the range of seconds rather than hours. Before ingesting their data into the pipeline, our mobile clients are aggregating events internally and, once a certain threshold is reached or the app is going to the background, sending the events as a JSON blob into the stream.

          In the past we had workers running that continuously read from the stream and would validate and post-process the data and then enqueue them for other workers to write them to BigQuery. We went ahead and implemented the Lambda-based approach in such a way that Lambda functions would automatically be triggered for incoming records, pre-aggregate events, and write them back to SQS, from which we then read them, and persist the events to BigQuery. While this approach had a couple of bumps on the road, like re-triggering functions asynchronously to keep up with the stream and proper batch sizes, we finally managed to get it running in a reliable way and are very happy with this solution today.

          #ServerlessTaskProcessing #GeneralAnalytics #RealTimeDataProcessing #BigDataAsAService

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          Mixpanel logo

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          Max Musing
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          Functionally, Amplitude and Mixpanel are incredibly similar. They both offer almost all the same functionality around tracking and visualizing user actions for analytics. You can track A/B test results in both. We ended up going with Amplitude at BaseDash because it has a more generous free tier for our uses (10 million actions per month, versus Mixpanel's 1000 monthly tracked users).

          Segment isn't meant to compete with these tools, but instead acts as an API to send actions to them, and other analytics tools. If you're just sending event data to one of these tools, you probably don't need Segment. If you're using other analytics tools like Google Analytics and FullStory, Segment makes it easy to send events to all your tools at once.

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          Yasmine de Aranda
          Chief Growth Officer at Huddol · | 7 upvotes · 369.2K views

          Hi there, we are a seed-stage startup in the personal development space. I am looking at building the marketing stack tool to have an accurate view of the user experience from acquisition through to adoption and retention for our upcoming React Native Mobile app. We qualify for the startup program of Segment and Mixpanel, which seems like a good option to get rolling and scale for free to learn how our current 60K free members will interact in the new subscription-based platform. I was considering AppsFlyer for attribution, and I am now looking at an affordable yet scalable Mobile Marketing tool vs. building in-house. Braze looks great, so does Leanplum, but the price points are 30K to start, which we can't do. I looked at OneSignal, but it doesn't have user flow visualization. I am now looking into Urban Airship and Iterable. Any advice would be much appreciated!

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                Hello, We are a medical technology company looking to integrate an in-app analytics tool. We've evaluated Mixpanel, Pendo, and Heap and are most impressed that Heap will solve our issues. We'd like to be able to determine not only clicks (con of Pendo) but also swipes and other user gestures within our app. Not sold on all three of these, can also look at other tools. We use Cordova, so hoping to find something compatible with that. Any advice?

                Thanks

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                Shared insights
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                AmplitudeAmplitudePendoPendo

                Can either of these (Pendo, and Amplitude) also function as a data warehouse for data we want to retain? How well can they accept data from other systems? I know they focused on session behavior. I would like to hear if anyone took their implementation further than session behavior?

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                Heap logo

                Heap

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                Automatically capture every user action in your app and measure it all
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                  At Heap, we searched for an existing tool that would allow us to express the full range of analyses we needed, index the event definitions that made up the analyses, and was a mature, natively distributed system.

                  After coming up empty on this search, we decided to compromise on the “maturity” requirement and build our own distributed system around Citus and sharded PostgreSQL. It was at this point that we also introduced Kafka as a queueing layer between the Node.js application servers and Postgres.

                  If we could go back in time, we probably would have started using Kafka on day one. One of the biggest benefits in adopting Kafka has been the peace of mind that it brings. In an analytics infrastructure, it’s often possible to make data ingestion idempotent.

                  In Heap’s case, that means that, if anything downstream from Kafka goes down, we won’t lose any data – it’s just going to take a bit longer to get to its destination. We also learned that you want the path between data hitting your servers and your initial persistence layer (in this case, Kafka) to be as short and simple as possible, since that is the surface area where a failure means you can lose customer data. We learned that it’s a very good fit for an analytics tool, since you can handle a huge number of incoming writes with relatively low latency. Kafka also gives you the ability to “replay” the data flow: it’s like a commit log for your whole infrastructure.

                  #MessageQueue #Databases #FrameworksFullStack

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                  Jason Barry
                  Cofounder at FeaturePeek · | 7 upvotes · 165.9K views

                  Segment has made it a no-brainer to integrate with third-party scripts and services, and has saved us from doing pointless redeploys just to change the It gives you the granularity to toggle services on different environments without having to make any code changes.

                  It's also a great platform for discovering SaaS products that you could add to your own – just by browsing their catalog, I've discovered tools we now currently use to augment our main product. Here are a few:

                  • Heap: We use Heap for our product analytics. Heap's philosophy is to gather events from multiple sources, and then organize and graph segments to form your own business insights. They have a few starter graphs like DAU and retention to help you get started.
                  • Hotjar: If a picture's worth a thousand words, than a video is worth 1000 * 30fps = 30k words per second. Hotjar gives us videos of user sessions so we can pinpoint problems that aren't necessarily JS exceptions – say, logical errors in a UX flow – that we'd otherwise miss.
                  • Bugsnag: Bugsnag has been a big help in catching run-time errors that our users encounter. Their Slack integration pings us when something goes wrong (which we can control if we want to notified on all bugs or just new bugs), and their source map uploader means that we don't have to debug minified code.
                  See more