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Over 20,000 customers around the world use Mixpanel.
Open-source machine learning solution for enterprises that helps businesses by managing digital advertising, claims management, fraud detection, advanced analytics, and more.
Fantastic customer service - very responsive to any need. We had a couple of issues which have been solved pretty smoothly thanks to them.
Expensive and sometimes reports can have data missing. Could be user error though.
Easy to create Dashboards* Very intuitive UI that lets you create beautiful charts quickly* Easy creation of cohorts* Friendly support over on their slack* good documentation in general.
Very limited date range (2 weeks) for user flows. Dashboard feature isn't able to accommodate all of the reports that I have.
Overall, I have been very happy with my experience using Mixpanel. The ease of setup and powerful analytics have been invaluable to me in understanding my user base and making better decisions.
Duration tracking is a bit wrong sometimes on iOS. The panel sometimes has delays but I guess it's normal.
Amazing funnels, multichannel attribution, ease of use and customization. Mixpanel offers the next step from traditional analytics services like GA4.
No advanced feature for email tracking, which adds the need of other tools for more detailed marketing campaigns.
The major benefit of the product in the AutoMl. It's really useful when you are trying to optimize the parameters.
Lack of management and no accountability. It's hectic and unorganized to the point where you'll have no idea what you're doing, and what you should be doing.
It is really fast and run on really low memory like 2 GB. I have learn lotta new information about ML and deep learning thanks to H2O's help buttons.
Programmatically using the software is difficult because the documentation is lacking and it is hard to find the documentation that they do have.
Most of the ML algorithms are supported and available to use. It's easy to launch H2O from R and it noticeably increases the speed of algorithms and reduces time.
Notebook has its own shortcomings, which some operations seem less convenient. For instance, if the error output is too lengthy, I have to scroll all the way up to get where I need edit the code.
Notebook's nature of keeping things in one place. Some nice build-in features to interact with different data resources.
There is no feature engineering. Depending on your data size, H2O.AI can take up lots of memory.
Mixpanel
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