App ratings and reviews help identify what’s working and what isn’t, from an app’s user interface design to bugs in the software. Every developer starts out by creating the best possible product they can with the hopes of getting high app ratings and reviews early on in order to attract future business. By gathering feedback from users, your team can use the information shared through ratings and reviews to improve the app, bolster conversion rates and increase ROI.
Unearthing user feedback in your mobile app can be a tricky endeavor, but it goes a long way towards optimizing your application. The feedback stage is critical, as gathering responses from users enables you to fix any problems both during the app’s beta testing phase and after public release. Collecting feedback is particularly important if you are revamping an application that did not perform as you’d hoped. Just as important is deciding how you will implement this feedback in your app without disrupting the user experience.
Flurry’s annual mobile technology round-up report revealed a surprising fact: the amount of time spent using apps grew by just 6% in 2017. This figure reflects a significantly smaller margin of growth than the 11% increase observed in 2016.
Apple is in the midst of a first-of-its-kind firestorm surrounding its iconic iPhones, following the company’s recent decision to intentionally “slow down” earlier iPhone models with older batteries. The move came on the heels of the latest iOS update. But iPhone users were so enraged that they filed a class action lawsuit against the tech giant. This leaves many wondering, why did Apple slow down older iPhones?
Seven seconds. That’s the average amount of time it takes to form a first impression. Unfortunately for apps that fumble their first introduction, a Harvard University study found that it takes an average of seven positive exposures to change a negative first impression.
You’ve developed the perfect app concept. The market research has revealed promising data, and you’ve come up with some killer branding. You feel pretty confident going into the development process—except when it comes to the predictive analytics engine. That’s a region of uncharted territory, as you’ve never integrated this technology into a mobile app interface before. So, how do you ensure you’re on a path toward success?
After months spent planning your company’s app development project, you’ve finally received the green light to proceed. But after speaking with some development companies, you’ve discovered that the cost and timeframe of the project will depend on the application’s specs. Now, you’re tasked with determining exactly which features and functions to include; only then can you get an accurate price quote and timeframe.
It’s estimated that around 65% of mobile apps use advertisements as part of their monetization strategy. While B2B and enterprise apps have clear value as useful business tools and assets, the financial benefit of a public-facing B2C app is often less apparent. This leaves many companies wanting to learn more about app monetization, which, when done properly, is quite profitable.
Now that the excitement of your company’s mobile app launch has worn off, you’ve started focusing on install stats. Feeling underwhelmed by the results, you queried some key search phrases and discovered your app isn’t showing prominently for those terms. Now you’re wondering, “Did I pick the wrong app name?”
It took months of hard work and collaboration with your developer, but your B2C app is finally finished! But there’s a problem. You assumed users would be eager to download your new mobile app as soon as you shared the announcement via your email newsletter and social media. You’ve only had a few dozen downloads, though. A far cry from the thousands you expected. So what gives?