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What are the best practices in Mobile App marketing?

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There are millions of apps on app stores these days and only a few of them are popular with high rankings. It is important for businesses to assess what mobile app marketing strategy they are going to use. A good marketing plan can make all the difference in an app’s performance. Here are some of the best practices that mobile app marketing companies use to skyrocket their app to the top.

  • Target Audience
  • Competitors
  • Create Hype
  • Optimize SEO
  • Assess
  • Reviews
  • After Launch

Read also: Top 5 Common App Marketing Mistakes To Avoid

Beat all the hassles of having to market your app all by yourself, let the industry professionals handle it for you. AppDupe, a mobile app marketing agency with over 10 years of experience in the app industry provides you with mobile app marketing services like Mobile App Consultations, Mobile App Monetization, Pre-Launch Campaigns, App Audits, Public Relations, Post-Launch Marketing and more!


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Great topic! Mobile App Marketing has become very essential in current scenario because if you developed app but nobody knows about it then it becomes waste. So, some marketing techniques should be applied. 

I like your ways to do market an app but, I suggest another way to do this is Artificial IntelligenceArtificial Intelligence is going to change the way marketing done to date. 

Here are some facts for marekting an app using AI:

  • Revenues from the artificial intelligence (AI) found Mobile or Web-based application is going to be $89,847.26 million US Dollars.
  • The growth of artificial intelligence based application is phenomenal. In 2017, the global AI based application market was expected to grow approximately 150 percent from 2016 levels, reaching a forecast size of 4.8 billion U.S. dollars.
  • This statistics shows the global spending on automation and artificial intelligence (AI) business operations in 2016 and a forecast from 2017 to 2021. According to a survey, in 2018, 7.5 billion U.S. dollars will be spent on intelligent process automation. In this context, artificial intelligence is an autonomous decision – making by a system or system designed to simulate human thought process.

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