Month: November 2013
Black Holes plus Superstars in the App UniversePosted by Mary Ellen Gordon, PhD about Wed, Mar 13, 2013������Just as a firm would look to metrics including their Net Promoter Score or individuals could look to their Klout Score to judge their social media influence, app programmers wish benchmarks to evaluate how their apps are doing relative to other apps.To offer benchmarks, you studied apps by their retention and size of consumer base. We additionally compared these 2 dimensions to see how they relate to one another. As an example, do apps with more consumers have stronger retention than those with fewer consumers due to network effects? Do apps with smaller viewers see high retention because they focus more found on the interests of the particular segment?Apps By Number of UsersWe started our investigation by identifying the apps which Flurry tracks which had at least 1,000 active users at the begin of November 2012. That eliminated apps that have been being tested or were no longer being supported. We then split apps into 3 equal-sized groups based on their total amount of active users. To be in the best third of apps, an application needed to have 32,000 active users. To be inside the top two-thirds, it needed to have 8,000.Apps By RetentionWe followed a synonymous procedure to categorize apps based about retention. For this analysis, retention was defined because the % of individuals who first utilized an application throughout November 2012, whom furthermore used it again at smallest once over 30 days following their first use. To be in the best third for retention, an application required to have at minimum 37% of those whom started utilizing the app in November do so again over 25 days later. To be in the best two-thirds, 22% of brand-new consumers inside November required to utilize the app again more than 30 days later.
That Eliminated Apps That Were Being Tested Or Were No Longer Being Supported.
Combining User Numbers with RetentionHaving classified apps into 3 groups based about both active users and retention, we then compared how the 2 metrics relate to 1 another. The proportion of apps which fall into each of the 9 categories which result from considering retention and active consumers jointly is shown inside the table under. If active users and rolling retention were completely independent, then around 11% of apps will be in every of the 9 categories. As shown inside the table, the mid level categories for every metric follow which general pattern, however the categories in the corners of the table don?t. The variations between what the distribution over the nine categories is, plus what it will be when the 2 dimensions were completely independent, is statistically extensive.Fifteen percent of apps are inside the enviable position of being the best third for active consumers plus also in the best third for rolling retention. We refer to those because Superstar apps because they perform effectively about both dimensions. These apps are right positioned to generate revenue regardless of their monetization model. Another 17% of apps are at the opposite extreme: they are in the bottom third for both consumer numbers and retention. We refer to this category because a Black Hole. Apps in this ?cell? may be fairly modern apps that are still striving to establish a consumer base, older declining apps or apps that are of poor standard.Possibly the many interesting apps are inside the bottom appropriate and top left corners of the table. We refer to the 6% of apps inside the bottom right category as Red Dwarfs because they have a reasonably little consumer base yet are doing effectively on retention. Those are likely to succeed long tail apps. In the opposite corner from that are 6% of apps you refer to because Shooting Stars because they have a great deal of consumers, however, may fade away fast due to bad retention.Time Spent by Retention and Active UsersUnsurprisingly, the average amount of minutes per month users spend inside high retention apps is greater than in low retention apps. This may be watched going from left to right inside every row of the table. For example, Superstar apps have almost twice the average number of minutes per consumer than Shooting Star apps, 98 minutes versus 50 minutes. This correlation between average time per user plus retention is statistically substantial.Average time per user monthly is furthermore absolutely correlated with the amount of active consumers. This can be seen by hunting from the bottom to the top of each column in the table. For instance, users spend over 50% longer inside Superstar apps than in Red Dwarfs. Once again, this correlation is statistically significant; but the correlation between time per consumer and retention is stronger than which between time per consumer plus active consumers.Retention, Retention, Retention �These results imply which programmers require to make retention their top focus. �Developers may impact retention by shaping and modifying the app experience. It?s in their control. Additionally, the association between retention plus time spent implies that retention drives revenue. More repeat usage signifies more chances to create revenue from in-app purchase and advertising. Finally, the more worthwhile and compelling an application, the better it retains users, making acquisition efforts better. Acquiring aggressively before an app retains well could be a costly mistake. On the flip side, an application which retains well may generate powerful word of mouth, that is the ultimate (plus free) promotional machine. The more a developer masters retention, the better their chances of turning their Red Dwarfs into Superstars.
For more info: http://blog.flurry.com/bid/95072/Black-Holes-and-Superstars-in-the-App-Universe
iPhone 5S, iPhone 5C head to Boost Mobile on Nov. 8 The company says it will offer no-contract iPhone 5S starting at $549 and the iPhone 5C at $449. The iPhone 4S will be available for $299. November 1, 2013 6:21 AM PDT (Credit: Apple) Apple is bringing its iPhone lineup to contract-free provider Boost Mobile. The carrier announced the news Friday, saying that it will offer the iPhone 5S , iPhone 5C , and iPhone 4S . The iPhone 5S will start at $549.99 for the 16GB model contract-free. The iPhone 5C will start at $449.99, while the iPhone 4S will set customers back $299.99 at the carrier’s stores. Boost Mobile is by no means the first prepaid carrier to offer the iPhone 5S. Virgin Mobile, for example, started selling a contract-free iPhone 5S last month . Boost Mobile will start selling the iPhones on November 8. The devices will come with Boost’s no-contract $55 Monthly Unlimited plan. Topics: