Transcript for:
Post Hog vs Mix Panel: Analytics Tool Comparison

post hoc or mix panel which one is the better Analytics tool hi my name is Shruti and in this video I'm going to compare two very similar product analytics tools namely post hog and mixed Bunny and help you decide which one is the best for your product teams [Music] this talk is an open source product analytics Suite which is focused on detailed event-based analytics post Hub was founded in 2020 and was built mainly for web application and mobile based digital products along with this self-hosted version postdog is also available as a cloud and Enterprise solution post talks Community version comes with an MIT expat license and it has 9800 stars and 134 contributors on GitHub mix panel on the other hand is a robust product analytics platform and also focuses on event-based analytics mixpanel started way back in 2009 as a business analytics Service Company mixpanel is meant for users who require thorough customer analytics to quantify user engagement and retention although mix panel is not open source it does provide a free version with slightly limited features mixpanel also comes with two other price points depending on how big your company is actually post hog and mix panel are very similar in their features it makes them the true alternatives to each other they both offer free versions of their analytics solution they both come with dashboard features which are comparable to visualization tools and both support unlimited number of users post hog and mix panel both provide first party tracking and server side setup to track user Behavior across web and mobile app both provide powerful features like heat Maps session recordings real-time event export and can add more Integrations with their custom plugins by this point you might have already guessed that there are very few subtle differences between post hog and mixed bag and these differences might just be the ones that help you decide one over the other so let's take a look at some of these differences [Music] post hog is clearly better at some things one of them being that it's an open source tool which comes with a huge Community open source means you can build as many Integrations and custom plugins on top of it to suit your requirements the fact that you can self-host post hog gives you complete control over your data and help you achieve gdpr and CCPA compliance postdocs event capture is automated which helps you quickly pick up on user Behavior analyze it and help you create better products in an agile manner post hoc also has an advantage of a mixed panel when it comes to social Integrations with platforms like Twitter and GitHub [Music] right out of the box mix panel comes with built-in plugins for e-commerce and CMS platforms which makes it easy to integrate with your marketing and sales teams mixpanel offers single and multi-channel behavioral attribution which ties together customer behaviors like opening an email or reading a blog post it also provides first touch and last touch attribution models making it useful not only to your product teams but also for your marketing teams with mixpanel data can be exported offline to Google ads and Facebook to optimize your ad spend mixpanel also comes with a Unity integration to track gaming data seamlessly with mixpanel you can answer complex questions without writing SQL queries just a few clicks here and there and you're good to go so you see post-talk and mix panel are very similar tools making it hard to choose between the two it comes down to who wants to use these tools if you want a tool for your marketing product or sales teams who may or may not have a coding background mixpanel is a good choice on the other hand if you want a tool that your engineers can integrate seamlessly with their Tech stack to analyze raw events data points or user Behavior to build better features postdoc is the way to go this was my take on post hog versus mix panel let me know your thoughts on these tools and as always subscribe to this channel for more videos on the world of data [Music] foreign [Music]