ChartMogul vs Flurry Analytics

• Data Ingestion - Because we use a payment processor that ChartMogul understands, they are able to ingest the data automatically and process it with almost no input from us.
• Analysis and Insights - Once we got our data into ChartMogul, we immediately started seeing some patterns in our data that hadn't previously been apparent to us.
• Customizability - ChartMogul makes it fairly easy to customize and extend the dashboard (and to enrich our data manually via the API).

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• Flurry can track in-depth metrics across your app. This allows us to see every type of interaction our app users are performing.

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• ChartMogul doesn't always integrate both ways well. When data is modified that has been previously pushed to ChartMogul, bugs can occur.
• I haven't seen an A/R turnover report but this would be helpful to have.

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• There is no option to choose a timezone which will allow me to compare their data over other systems in other time zones.
• Could be nice to have more reporting screening options.

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• We are able to see how our company is doing in terms of churn, sales, and overall health.
• It's a fantastic resource to drill down by customers and learn past subscription history and trends.

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• Tracking the number of times a user taps a help button can help to improve the app design. Perhaps the app is not as intuitive as first thought, and improvements based upon where in the help feature a user taps will lead to improvements in the app design to make it more intuitive.
• Tracking the number of times certain app features are used, or the amount of time spent within a given activity in the app can help to streamline an app - improve upon features that are used more frequently while eliminating less popular activities.
• Tracking time spent within an app can give an idea as to how popular the app is.

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