Alternatives to GameAnalytics logo

Alternatives to GameAnalytics

Firebase, Google Analytics, Google Tag Manager, Mixpanel, and Mixpanel are the most popular alternatives and competitors to GameAnalytics.
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What is GameAnalytics and what are its top alternatives?

GameAnalytics is a comprehensive game development platform that offers game developers insights into player behavior, monetization, and engagement. Key features include real-time analytics, player segmentation, custom events tracking, and ad revenue tracking. However, GameAnalytics has limitations in terms of customizability and may not cater to the specific needs of every game developer.

  1. Mixpanel: Mixpanel offers advanced analytics tools for web and mobile applications, with features like funnel analysis, cohort analysis, and A/B testing. Pros include a user-friendly interface and detailed event tracking, while cons include limited free tier features compared to GameAnalytics.
  2. Heap: Heap provides automatic event tracking and insights without requiring manual instrumentation, making it easy to use for beginners. Key features include retroactive event tracking and advanced user behavior analysis. However, Heap may be less customizable than GameAnalytics for specific tracking needs.
  3. Amplitude: Amplitude is a product analytics platform that helps businesses understand user behavior. It offers features like behavioral cohorts, retention analysis, and predictive analytics. Pros include easy setup and powerful event segmentation, while cons may include higher pricing for advanced features.
  4. Countly: Countly is an open source analytics platform that offers self-hosted and cloud-hosted solutions. Features include session tracking, segmentation, and push notifications. Pros include data ownership and control, while cons may include a steeper learning curve for beginners.
  5. Flurry Analytics: Flurry Analytics is a mobile analytics platform owned by Verizon Media that provides insights into user behavior and app performance. Key features include demographic data, crash analytics, and user acquisition tracking. Pros include detailed app metric tracking, while cons may include limited customization options.
  6. Leanplum: Leanplum is a mobile marketing platform that offers analytics, A/B testing, and engagement tools. Features include personalized messaging, automation workflows, and user segmentation. Pros include robust marketing capabilities, while cons may include higher pricing compared to GameAnalytics.
  7. Firebase Analytics: Firebase Analytics is a free app analytics solution provided by Google that offers user insights, conversion tracking, and user attribution. Pros include seamless integration with other Firebase services and easy event tracking setup, while cons may include limited customization options.
  8. Localytics: Localytics is a mobile engagement platform that provides user insights, engagement campaigns, and personalized messaging. Key features include funnel analysis, user profiling, and push notifications. Pros include strong customer support, while cons may include pricing based on monthly active users.
  9. CleverTap: CleverTap is a customer engagement platform that offers user segmentation, campaign optimization, and behavioral analytics. Features include real-time customer insights, AI-powered segmentation, and multichannel engagement. Pros include omnichannel marketing capabilities, while cons may include complex pricing structures.
  10. MoEngage: MoEngage is a customer engagement platform that provides analytics, automation, and personalization tools for mobile apps and websites. Key features include behavioral analytics, AI-powered recommendations, and omnichannel messaging. Pros include personalized communication channels, while cons may include limited reporting options compared to GameAnalytics.

Top Alternatives to GameAnalytics

  • Firebase
    Firebase

    Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds. ...

  • 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. ...

  • Google Tag Manager
    Google Tag Manager

    Tag Manager gives you the ability to add and update your own tags for conversion tracking, site analytics, remarketing, and more. There are nearly endless ways to track user behavior across your sites and apps, and the intuitive design lets you change tags whenever you want. ...

  • 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. ...

  • 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. ...

  • Optimizely
    Optimizely

    Optimizely is the market leader in digital experience optimization, helping digital leaders and Fortune 100 companies alike optimize their digital products, commerce, and campaigns with a fully featured experimentation platform. ...

  • Segment
    Segment

    Segment is a single hub for customer data. Collect your data in one place, then send it to more than 100 third-party tools, internal systems, or Amazon Redshift with the flip of a switch. ...

  • Crazy Egg
    Crazy Egg

    Crazy Egg gives you the competitive advantage to improve your website in a heartbeat without the high costs. ...

GameAnalytics alternatives & related posts

Firebase logo

Firebase

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    Fast and responsive
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    Easy setup
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    Real-time
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    JSON
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    Free
  • 128
    Backed by google
  • 83
    Angular adaptor
  • 68
    Reliable
  • 36
    Great customer support
  • 32
    Great documentation
  • 25
    Real-time synchronization
  • 21
    Mobile friendly
  • 19
    Rapid prototyping
  • 14
    Great security
  • 12
    Automatic scaling
  • 11
    Freakingly awesome
  • 8
    Super fast development
  • 8
    Angularfire is an amazing addition!
  • 8
    Chat
  • 6
    Firebase hosting
  • 6
    Built in user auth/oauth
  • 6
    Awesome next-gen backend
  • 6
    Ios adaptor
  • 4
    Speed of light
  • 4
    Very easy to use
  • 3
    Great
  • 3
    It's made development super fast
  • 3
    Brilliant for startups
  • 2
    Free hosting
  • 2
    Cloud functions
  • 2
    JS Offline and Sync suport
  • 2
    Low battery consumption
  • 2
    .net
  • 2
    The concurrent updates create a great experience
  • 2
    Push notification
  • 2
    I can quickly create static web apps with no backend
  • 2
    Great all-round functionality
  • 2
    Free authentication solution
  • 1
    Easy Reactjs integration
  • 1
    Google's support
  • 1
    Free SSL
  • 1
    CDN & cache out of the box
  • 1
    Easy to use
  • 1
    Large
  • 1
    Faster workflow
  • 1
    Serverless
  • 1
    Good Free Limits
  • 1
    Simple and easy
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    Can become expensive
  • 16
    No open source, you depend on external company
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    Scalability is not infinite
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    Not Flexible Enough
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    Cant filter queries
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    Very unstable server
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    No Relational Data
  • 2
    Too many errors
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    No offline sync

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Stephen Gheysens
Lead Solutions Engineer at Inscribe · | 14 upvotes · 1.8M views

Hi Otensia! I'd definitely recommend using the skills you've already got and building with JavaScript is a smart way to go these days. Most platform services have JavaScript/Node SDKs or NPM packages, many serverless platforms support Node in case you need to write any backend logic, and JavaScript is incredibly popular - meaning it will be easy to hire for, should you ever need to.

My advice would be "don't reinvent the wheel". If you already have a skill set that will work well to solve the problem at hand, and you don't need it for any other projects, don't spend the time jumping into a new language. If you're looking for an excuse to learn something new, it would be better to invest that time in learning a new platform/tool that compliments your knowledge of JavaScript. For this project, I might recommend using Netlify, Vercel, or Google Firebase to quickly and easily deploy your web app. If you need to add user authentication, there are great examples out there for Firebase Authentication, Auth0, or even Magic (a newcomer on the Auth scene, but very user friendly). All of these services work very well with a JavaScript-based application.

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Eugene Cheah

For inboxkitten.com, an opensource disposable email service;

We migrated our serverless workload from Cloud Functions for Firebase to CloudFlare workers, taking advantage of the lower cost and faster-performing edge computing of Cloudflare network. Made possible due to our extremely low CPU and RAM overhead of our serverless functions.

If I were to summarize the limitation of Cloudflare (as oppose to firebase/gcp functions), it would be ...

  1. <5ms CPU time limit
  2. Incompatible with express.js
  3. one script limitation per domain

Limitations our workload is able to conform with (YMMV)

For hosting of static files, we migrated from Firebase to CommonsHost

More details on the trade-off in between both serverless providers is in the article

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Google Analytics logo

Google Analytics

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Enterprise-class web analytics.
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    Easy setup
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    Data visualization
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    Real-time stats
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    Comprehensive feature set
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    Goals tracking
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    Powerful funnel conversion reporting
  • 139
    Customizable reports
  • 83
    Custom events try
  • 53
    Elastic api
  • 15
    Updated regulary
  • 8
    Interactive Documentation
  • 4
    Google play
  • 3
    Walkman music video playlist
  • 3
    Industry Standard
  • 3
    Advanced ecommerce
  • 2
    Irina
  • 2
    Easy to integrate
  • 2
    Financial Management Challenges -2015h
  • 2
    Medium / Channel data split
  • 2
    Lifesaver
CONS OF GOOGLE ANALYTICS
  • 11
    Confusing UX/UI
  • 8
    Super complex
  • 6
    Very hard to build out funnels
  • 4
    Poor web performance metrics
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    Very easy to confuse the user of the analytics
  • 2
    Time spent on page isn't accurate out of the box

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This is my stack in Application & Data

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Max Musing
Founder & CEO at BaseDash · | 9 upvotes · 378.9K views

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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Google Tag Manager logo

Google Tag Manager

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Quickly and easily update tags and code snippets on your website or mobile app
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      Iva Obrovac
      Product Marketing Manager at Martian & Machine · | 8 upvotes · 89.9K views

      Hi,

      This is a question for best practice regarding Segment and Google Tag Manager. I would love to use Segment and GTM together when we need to implement a lot of additional tools, such as Amplitude, Appsfyler, or any other engagement tool since we can send event data without additional SDK implementation, etc.

      So, my question is, if you use Segment and Google Tag Manager, how did you define what you will push through Segment and what will you push through Google Tag Manager? For example, when implementing a Facebook Pixel or any other 3rd party marketing tag?

      From my point of view, implementing marketing pixels should stay in GTM because of the tag/trigger control.

      If you are using Segment and GTM together, I would love to learn more about your best practice.

      Thanks!

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      Mixpanel logo

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        A wide range of tools
      • 15
        Powerful Graph Search
      • 11
        Responsive Customer Support
      • 2
        Nice reporting
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        Messaging (notification, email) features are weak
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        Paid plans can get expensive
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        Limited dashboard capabilities

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      Max Musing
      Founder & CEO at BaseDash · | 9 upvotes · 378.9K views

      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 · 394K 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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      Mixpanel logo

      Mixpanel

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      Powerful, self-serve product analytics to help you convert, engage, and retain more users
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      PROS OF MIXPANEL
      • 144
        Great visualization ui
      • 108
        Easy integration
      • 78
        Great funnel funcionality
      • 58
        Free
      • 22
        A wide range of tools
      • 15
        Powerful Graph Search
      • 11
        Responsive Customer Support
      • 2
        Nice reporting
      CONS OF MIXPANEL
      • 2
        Messaging (notification, email) features are weak
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        Paid plans can get expensive
      • 1
        Limited dashboard capabilities

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      Max Musing
      Founder & CEO at BaseDash · | 9 upvotes · 378.9K views

      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 · 394K 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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      Optimizely logo

      Optimizely

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        Shared insights
        on
        SegmentSegmentOptimizelyOptimizely

        Hey all, I'm managing the implementation of a customer data platform and headless CMS for a digital consumer content publisher. We're weighing up the pros and cons of implementing an OTB activation platform like Optimizely Recommendations or Dynamic Yield vs developing a bespoke solution for personalising content recommendations. Use Case is CDP will house customers and personas, and headless CMS will contain the individual content assets. The intermediary solution will activate data between the two for personalisation of news content feeds. I saw GCP has some potentially applicable personalisation solutions such as recommendations AI, which seem to be targeted at retail, but would probably be relevant to this use case for all intents and purposes. The CDP is Segment and the CMS is Contentstack. Has anyone implemented an activation platform or personalisation solution under similar circumstances? Any advice or direction would be appreciated! Thank you

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        Segment logo

        Segment

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          Multiple integrations
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          Cleanest API
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          Easy
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          Free
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          Mixpanel Integration
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          Segment SQL
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          Flexible
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          Google Analytics Integration
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          SQL Access
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          Clean Integration with Application
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          Own all your tracking data
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        Principal Software Engineer at Tophatter · | 16 upvotes · 3.2M views

        Back in 2014, I was given an opportunity to re-architect SmartZip Analytics platform, and flagship product: SmartTargeting. This is a SaaS software helping real estate professionals keeping up with their prospects and leads in a given neighborhood/territory, finding out (thanks to predictive analytics) who's the most likely to list/sell their home, and running cross-channel marketing automation against them: direct mail, online ads, email... The company also does provide Data APIs to Enterprise customers.

        I had inherited years and years of technical debt and I knew things had to change radically. The first enabler to this was to make use of the cloud and go with AWS, so we would stop re-inventing the wheel, and build around managed/scalable services.

        For the SaaS product, we kept on working with Rails as this was what my team had the most knowledge in. We've however broken up the monolith and decoupled the front-end application from the backend thanks to the use of Rails API so we'd get independently scalable micro-services from now on.

        Our various applications could now be deployed using AWS Elastic Beanstalk so we wouldn't waste any more efforts writing time-consuming Capistrano deployment scripts for instance. Combined with Docker so our application would run within its own container, independently from the underlying host configuration.

        Storage-wise, we went with Amazon S3 and ditched any pre-existing local or network storage people used to deal with in our legacy systems. On the database side: Amazon RDS / MySQL initially. Ultimately migrated to Amazon RDS for Aurora / MySQL when it got released. Once again, here you need a managed service your cloud provider handles for you.

        Future improvements / technology decisions included:

        Caching: Amazon ElastiCache / Memcached CDN: Amazon CloudFront Systems Integration: Segment / Zapier Data-warehousing: Amazon Redshift BI: Amazon Quicksight / Superset Search: Elasticsearch / Amazon Elasticsearch Service / Algolia Monitoring: New Relic

        As our usage grows, patterns changed, and/or our business needs evolved, my role as Engineering Manager then Director of Engineering was also to ensure my team kept on learning and innovating, while delivering on business value.

        One of these innovations was to get ourselves into Serverless : Adopting AWS Lambda was a big step forward. At the time, only available for Node.js (Not Ruby ) but a great way to handle cost efficiency, unpredictable traffic, sudden bursts of traffic... Ultimately you want the whole chain of services involved in a call to be serverless, and that's when we've started leveraging Amazon DynamoDB on these projects so they'd be fully scalable.

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        Robert Zuber

        Our primary source of monitoring and alerting is Datadog. We’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.

        We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.

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