Big names like IBM, Microsoft, and Google have embraced and have witnessed the benefits of analytics-driven culture to help in decision making. Analytics tend to help you answer questions which are very critical to the projects, like "Can we track delivery of the next release on schedule?" and "Of the newly added features, which are more prone to defects?" by giving fact-based views about projects.
Nowadays most of the apps utilize at least one qualitative analytics development kit, and the app companies don't doubt if to use qualitative analytics or not. Over the last decade, with a change in users expectations and evolving technologies studies found that qualitative analytics is the main tool of recent times.
In simple words, this is a group of tools which enables mobile professionals to understand user experience. The tools permit mobile app companies to attain proper knowledge of user functionality. Some use cases to mention:
With several Android apps in the Google Play store having more than 5 million downloads, and among the top ranked categories, it has been found that almost 64% of the Android apps and 68% of iOS apps use qualitative app analytics. To say, about 65.7% of top-ranked apps, are presently using technology apps.
Most of the mobile applications for enterprises have adopted qualitative analytics. How do they distinguish themselves from others in ranking and ratings?
Some studies revealed that among the top apps, Apps which uses qualitative app analytics have 20 percentage more installs. Also, they have 22% higher ratings.
Experts say that qualitative analytics has been evolving from complementary tools to necessary ones and giving the apps reasons to rate, rank and be installed.
How these findings help enterprise apps?
There is an industry shift from a stage of early use of qualitative analytics to the early majority. There is a shift of focus from vanity app metrics to user-centric. With giving priority to user experience the key to making a successful app is to attain actionable and qualitative data.
Qualitative analytics reduces guesswork and allows the mobile teams to provide better product experience and regular KPI improvement. Studies that included companies like Samsung, eBay and AIG reveal about 20% extra R&D hours, reduced launch risks, and enhanced product workflows. The studies show betterment in app ranking, rating, and count of installs.
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