Flurry Analytics delivers powerful insight into how consumers interact with your mobile applications in real-time. Over 60,000 companies have chosen Flurry Analytics to use in more than 150,000 applications across iOS, Android, Blackberry, Windows Phone, JavaME and HTML5.
Flurry Analytics helps mobile application developers make better apps, deepen consumer engagement and improve monetization of their applications. The service is free, cross-platform, easy to integrate, able to handle data loads of any size application and frequently updated with new, advanced features.
Understand how many new vs. active users you have, sessions, average session lengths, your app's frequency of use, how many consumers use each version of your app, retention over time, and even page views, if you'd like to measure your app that way. Cut all of these metrics by various time intervals and by app version.
The new users view shows you how well you're acquiring consumers for your app. You can cut this view over custom time ranges, by intervals such as days or weeks, by app version released and by defined custom segment (more on that later). We'll even show you how you're acquiring across different geographic territories.
Your app's true health is represented by active users, which combines new and returning users into one stat. Whether you can acquire quickly, retain well, or both, this is the number you want to see going up and to the right. As with new users, you can cut this metric by time range, time interval, segment and territory.
The sessions view tells you how many times your app is used over a time period. You can grow this stat several ways such as acquiring new users, getting existing users to use more often or retaining users longer. Especially if you have an ad supported app, this is a key audience metric. Once again, you can drill down by time range, time interval, segment and territory.
Session Length is a key engagement metric . Although different kinds of apps have different average session lengths, you'd like this stat to improve over time with each additional update. In addition to the session length distribution view in the screenshot, you'll get median length, total time spent and variance by geography and segment.
Is your app used several times per day, or only a few times per month? This stat reveals the intensity with which your app is used. Combined with session length, you'll know the total time consumers spend in your app. You can also use this stat, for example, to segment heavy vs. light users to gauge loyalty (see Custom Segmentation).
Retention is the true measure of how well your app drives repeat usage. In this chart we graph new users alongside retained users, those who have used your app in the last seven days. If you can get this stat to increase, through continuous app improvements and/or content additions, you have a bona fide hit. And if monetization is a goal you have for your app, healthy retention is the first step toward that end.
As you release a new version of your app, its adoption by your installed base signals whether your app update was compelling or uninspiring. You may also be releasing updates too often or infrequently. With this view, Flurry gives you the visibility to tune your strategy, ensuring your development team is keeping the right cadence for your app audience.
Add context and relevance to your own stats. While it's valuable to see how you might increase session lengths with each subsequent app update, it's even more valuable to compare your performance against that of an app category or the market average. Benchmarks are available for frequency of use, session length and retention statistics.
While its useful to know if you're increasing your app Session length per update, it's even more valuable to compare your performance to others. With its vast data-set, Flurry calculates category and market level benchmarks, against which you can compare your app's key engagement metrics. No longer must you wonder if 2.3 minutes is good or not. We'll just show you.
In addition to providing benchmarks for session length, Flurry also provides several different cuts for frequency of use. Compare your app usage frequency by day, week, month and against a lifetime usage benchmark to gauge whether your app is engaging consumers at the right level.
The final benchmark statistic Flurry provides is retention. As you know, not all apps are created equally, but we assume you aspire to offer one that is better than the rest. Now, with retention benchmarks, you'll know whether your app is sticky enough to keep consumers coming back for more, and more importantly, compared to any app category as well as the market.
Easily set-up and track user events most relevant to your app such as when a consumer makes a purchase, completes a level or uses a key feature. Additionally add parameters to events, giving you much finer detail. For example, after setting up an event that tracks the number of completed in-app purchases, next add a parameter to track which items are purchased, the level at which they are purchased and how many use sessions it takes to make a purchase.
Gain deeper insight with our custom events feature, the ability to track any unique action a user completes in your app. For example, this screenshot shows a game that tracks when users complete in-app purchases. With this custom event now tracked, this developer can measure the impact of a number of things, including: whether different acquisition campaigns raise revenue equally; what price points to set for virtual goods items; and even whether adding player missions that are more easily completed by purchasing power-ups leads to more in-app purchases.
Continuing with the example from the previous screen, tracking an in-app purchase event, this developer also added a parameter called "type of purchase." This enables them to understand purchase behavior in finer detail. Not only can they see the rate at which specific items sell, but also test how individual item price changes affects quantity sold. Additionally, they can measure the impact on the quantity of sold items that adding different items has on the quantity sold of all items.
Beyond measuring what consumers purchase, this developer also tracks at which level consumers purchase. Doing so, they can further optimize revenue. For example, most users in this game buy at level 1, but not again until level 8. Among this developer's goals should be to increase purchases before level 8 and/or to maximize engagement until players reach level 8, since that's when they'll likely purchase again.
Flurry automatically provides demographic, geographic and user interest data about your app audience. This kind of information can be used to plan your next acquisition campaign (since you know the kind of consumers your app best retains), package your audience as a publisher to market to advertisers or gain a better understanding of your audience to develop more targeted features.
Understanding your audience composition provides you an advantage when communicating to advertisers, deciding new features and planning acquisition campaigns. Beyond the ability to marry your own demo data with the Flurry data set, Flurry now automatically offers estimates on the age distribution of your app audience.
Combining gender with age gives you two key ways Madison Avenue cares about describing audiences. In addition to allowing you to pass gender information into your data set for further analysis, Flurry also provides you automatic estimates for gender. Now armed with age and gender, you open your world to brand advertising.
While having age and gender is powerful, once you add geography to the mix, you have the trifecta for how any audience is described. Now your audience is even better described to package up to advertisers. Flurry Analytics gives you all three, automatically.
But we didn't stop with just the trifecta. We also added interests to provide you a veritable superfecta. Flurry shows you what other apps your consumers use, by category, further comparing it to average app category interest. Green bars indicate your audience's interest level by app category, while blue bars show the market's average interest across app categories. Comparing the differences shows you whether your audience over- or under-indexes against the market.
Beyond audience segmentation, Flurry empowers companies to create any custom segment they can imagine. If we can track it, you can turn it into a segment. Powerful examples include segmenting your audience by paying vs. non-paying consumers and creating time-based cohorts.
Time-based cohorts are invaluable for tracking how well you retain batches of newly acquired users. Now you can measure exactly how a specific app update is reducing churn. Also use this when you want to test how well an acquisition channel retains users or as a general health check on the engagement of your app.
Creating segments based on frequency of use allows you to identify heavy users, your most loyal segment. Study how their behavior differs to the norm so you can find and convert more of these kinds of users, continue to increase their engagement and move them toward monetization.
Creating segments based on whether consumers have completed paid transactions allows you to "segment and seal," that is, make unique offers to each group in a way that only that group can act on. For example, make discounted purchase offers only to payers, and serve ads only to non-payers.
Flurry frequently adds advanced features to its service – all for free – ensuring the most comprehensive mobile app analytics platform available. Two examples include User Paths and Conversion Tracking. User Paths reveal the order in which consumerscomplete actions in your app, and Conversion Tracking allows you to measure up-sell and cross-sell conversions. More new power features are always coming soon!
The user path feature connects all of your tracked events together into a dynamic, interactive flow chart. This view provides you the path your users most commonly "walk" within your app, from start to finish. Use this to understand what features they use most, in what order, and even whether they discover certain areas of your app. And if your app is ad supported, you can pinpoint the highest traffic flows where your most premium ads should be placed.
Track up-sell and cross-sell conversions among your own portfolio of apps. Converting consumers from free to paid versions of your app is a science, and now you can track exactly how well you're performing. At the same time, if you have a portfolio of products, cross-selling to your installed base is among your best marketing alternatives. Flurry helps you track this too.
