Ideal Techniques For Every Mobile App Marketers
App marketing challenges are rapidly evolving with an increasing number of apps and app users. App marketers in various industries are getting to realize the potential of various app marketing strategies to increase the number of users downloading and using your app. App Store Optimization (ASO) is the most significant ways of optimizing the visibility and conversion of your app. There is no single winning strategy in ASO, but it involves various asset to the app store and even on several off-page channels.
Every successful app marketing strategy should be focused on an effective keyword, content, and review marketing strategy. The app store assets on which you should be implementing relevant keyword marketing strategy are app title, description, and keyword fields. When it comes to the visual content the app icon is the first ever thing that customers will get to see on their search results. Your brand logo should be highlighted in the app icon, thus making it outstanding among other apps that appear in the search results.
The reviews and ratings are one of the most influential factors for increasing conversion rate on your app. You have to implement effective strategies to avoid the chances of getting a negative review on your app. This can be achieved by ensuring better customer satisfaction with the features and experience of your app. Your app can ideally have an effective customer support or chatbot on which users can reach out with any concerns regarding your app. This will reduce that chance of customers giving a negative review for your app. You may also buy ios app Installs from your customers in order to ensure an impressive review to show up first for all filters.
Implement an effective testing
A/B testing wouldn’t be available for your App Store as in the web landing pages. However, there are several ready-to-use tools that will help you app store optimization by enabling effective testing solutions for your mobile app. You can make use of platforms like Store Maven to send you app traffic to an identical-looking webpage, thus classifying traffic variants to determine the best-performing ones.
How to test your ASO
While testing for your app and app store product page, it is important to have a clear insight into the process. Rather than random testing, you should be utilizing time and budgets to create an appealing video for the app store landing page. You should associate the video upon what helps customers to make an informed decision about your app. Instead of spending time for testing tiny things in the app store, the testing process you implement should revolve around your KPIs and ROIs in-app marketing.
You have to focus on testing a single element in the app store at a time, in order to make it easy for you to determine which part is causing a shift in your results. The testing of your app store should be continued for at least a week. Longer you go on with the app store testing more it can impact as success in your app. Leads to a page in your app should be sent in a way that converts traffic more efficiently. Traffic on your organic and paid marketing campaigns can also be put for testing. App stores will not all you to implement direct testing and it doesn’t share all your conversion data. For this reason, there won’t be any other ways to determine the performance of organic traffic. To overcome this challenge Store Maven suggest app marketers test with Facebook ads that are most significant in understanding consumer behaviours.
There is no need to pay for a sophisticated tool to test your app store product page. The content in the app store page can be changed one or two weeks after you see a significant influence in the number of your downloads. The greatest challenge that app marketer faces in the current marketing scenario so that your app will be getting higher performance, thus promoting successful press coverage and higher app store ranking. With effective testing for your app marketing performance, you will be able to gain highly trackable conversion data.