All posts in “Mobile Analytics”

Predictive analytics can improve user experience and boost ROI.

How to Use Predictive Analytics for Mobile App Development

It’s among the most common wishes: the ability to predict the future. You’re probably one of the millions to think, “If only I’d invested in stock in 1984 when Apple first became a publicly-traded company!” The power of prediction is something we’ve been dreaming about and attempting throughout history, as evidenced by Nostradamus’ eerily prophetic quatrains in the 1500s.

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How are mobile analytics different than web analytics?

How Do Mobile App Analytics Work? Are They Different From Web Analytics?

You’ve been tasked with finding a new app developer for an upcoming project. Throughout the process, you’ve heard the term “mobile analytics” on several occasions. You’re familiar with website analytics, but mobile analytics are outside your comfort zone. So what are mobile app analytics all about? How do they differ from website analytics? What type of info is gathered, and do you really need that data? These are all common questions that might arise during the development process, and it’s important that you get answers. After all, analytics play a vital role when it comes to your mobile app’s success…or lack thereof.

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User path analytics are a crucial element in any app development project.

User Behavior Flow in Mobile Apps: How to Mine Analytics for User Path Data

You spent months perfecting your mobile app, working with developers, QA testers, beta testing groups and dozens of others to ensure a streamlined, engaging user experience (UX). You thought your development team created a user-friendly app and that you knew which features would be most popular. But now, you’re getting negative feedback about the app’s user-friendliness and its architecture. Comments like, “It’s hard to navigate,” or “the app’s architecture is confusing,” are vague yet important to understand. So how do you dig deeper and work to identify specific problem areas?

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Mobile App Analytics Best Practices: How to Improve UI, UX, and Performance

Mobile App Analytics Best Practices: How to Improve UI, UX, and Performance

It took a bit of exploration, but you finally found an app with the specific functionality that you need. You were excited to explore the UI, but now, you can’t seem to find—much less master—the feature that originally prompted you to click the “install” button. Oh, and there it goes. It just crashed. Forget it; you don’t have time for this. You quit the app for the first and last time as you embark upon another search for a new app. Read More

SevenTablets Explores How to Track Uninstall Data to Improve Your Mobile App Retention Rate

How to Track Uninstall Data to Improve Your Mobile App Retention Rate

In 2017, it’s expected that over 268 billion apps will be downloaded. But the reality is that a vast majority of those apps will be uninstalled shortly thereafter—within a matter of hours for most. The industry standard for app retention is around 20 percent at 72 hours post-install. That means 8 out of 10 people will uninstall your mobile app at some point in the three days after they downloaded it. By the time the 90-day mark rolls around, that 20 percent figure is slashed to just five percent. Read More

Mobile Analytics - SevenTablets

Understand Your Customers with Mobile Analytics

Have you tracked daily active users of your app? OR some similar metric? That information can provide valuable insight into your app’s growth, but taking a deeper look at mobile analytics can give you actionable information about what your users really want — so you can provide that too. Here are the types of activities you can track through comprehensive mobile analytics, as well as some of the ways you can use the information to make your app better. Read More

Big Data Analytics Discrimination

Do Big Data and Analytics Fuel Discrimination?

Big Data and analytics (and especially predictive analytics) are powerful inventions of modern technology. Inventions that influence our lives by assigning our credit scores, protecting us from fraudulent credit card charges, showing ads relevant to our interests and more. But, these tools are not innately objective. In fact, if they are not developed correctly, they can reinforce discriminatory stereotypes, creating massive disadvantages for affected individuals. Read More

Predictive Analytics in Healthcare

Healthcare’s Perfect Match: Predictive Analytics

A single hospital can store more than 3 petabytes of data at any given time. That’s equal to the contents of the entire Library of Congress. Considering that the United States has 5,546 registered hospitals, you can imagine the massive amounts of data created by our country’s healthcare system. Obviously, the need for data storage and processing is unavoidable, but data is not just a cumbersome side-effect of modern healthcare. It’s a massive opportunity for us to discover, understand and improve, with predictive analytics as the excavator.
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The Importance of Mobile Analytics for Your App

Companies that have developed a mobile app for their business are constantly gathering data from these apps, but how do they analyze that data and turn it into useful information that can be used to meet business goals? The need for analytics tools is real, but what changes should be made in light of the data a company receives from its mobile apps? There are several sets of data that an analytics tool can collect and present to a company for use in their mobile app strategy. Read More