Flurry Analytics vs. Matomo Analytics

I would encourage a colleague to use Flurry Analytics. Incorporating Flurry Analytics in an app is a simple and straightforward task, and will take the average app developer less than 15 minutes to understand and apply. This amount of time is nothing in the grand scheme of the development of the app, and the return on time invested to incorporate it is great. New tracking features can be added at any time.

If you want to balance data-driven marketing and a privacy-minded approach to analytics, Matomo Analytics is for you. It's easy to be compliant with GDPR and other regulations while still having detailed (anonymized) analytics that help inform what content is resonating vs what content is not resonating. And of course you also get all of the rich referral, campaign, and goal conversion data to help you optimize your marketing.

Incentivized

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

• One of Piwik's strengths is the provision of customizable widgets for different bits of analytics data. The ability to add and remove them, change dates and more makes this a flexible way to visualize data.
• The visitor log section is also rich, providing date, keywords, actions and more in a single table, which makes it easy to identify your most effective content.
• And the visitor actions table includes both bounce rate and time on site, so you can quickly tell which pages have the most engagement.
• Data display is a strength for Piwik, as you have access to overview charts while simultaneously being able to drill deeper.

• 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.

Incentivized

• From a user security standpoint it would be useful to provide users the ability to have two-factor authentication. While stats data is not necessarily sensitive in aggregate, some users may feel that certain portions need to be more secure.
• It would be nice if there was a tighter integration with the Google search/referrer API so that "keyword not defined" would be replaced more often with the actual keyword that is being used to send a visitor to a site.
• An easier branding method, maybe in the form of an API function set, that pulled branding URLs from a set of database fields would be great as well.

Good user acquisition tracking
Sdk integration is super easy for both iOS and Android
Need it
Need to support more customized dashboards / reporting (example - set up a dashboard specifically to see users engaging with a new feature recently launched)

At this point, there is not a single conceivable reason as to why we would not renew and continue to use Piwik Analytics. Especially since it is a free program and open source. The product will only get better over time as more people look into it and donate to cause so that development can continue.

Piwik succeeds in presenting me (and my associates and my clients...) large amounts of data in a user friendly way. The interface and functionality can easily be customized. While some enhancements do need technical background (API calls by programming language from the webserver or javascript), others are easy to use (goal / event tracking)

The best thing about the Matomo support is that they have a forum which basically you can find the answer to almost all of your questions and most of the time you don't need to contact them regarding your questions and problems but if you need help they will answer in a reasonable time slots.

Incentivized

Only one hiccup when we were using a beta installation. Other than that, smooth sailing.

For my uses, Flurry is free which makes it way more attractive than the other platforms even on a very big number of monthly events. It also have set reports which are exactly the reports that a marketing person needs without any need of spending a developer time to create them for you, or holding an in-house BI person that works on creating reports.

Incentivized

We have used Google Analytics before for one of our online tools and we switched to Matomo for the other web applications we have. We did that because Matomo is free but mostly since we wanted us to own the data on these sensitive apps and not share it with third parties. Since we have the data locally, we can now apply machine learning techniques to improve the systems even more.

Incentivized

• 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.

• By using Piwik, we can better identify keywords used to search for the website and by targeting those keywords on search engine advertising (Google, Bing, Yahoo), it helps with conversion and also saves us money by cutting down guess work.
• By using Piwik graphs, it helps to save our employees time in creating pie charts and bar charts to present to upper management.
• Since Piwik is free to use, there is no reason not to implement it. Most likely, with your website, you will already have access to SQL and hosting package. There is minimal cost to implementing Piwik.