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How to Drive Insights from App Stores and Make Your App Go Viral

September 6, 2016Category : Blog
How to Drive Insights from App Stores and Make Your App Go Viral

There is an old saying, ‘incremental changes fuel innovation’. Probably, this is the best suited thematic phrase for big data and truly, these incremental changes are shaping neo-modern business ideas, generating actionable insights for every business vertical. Services like web scraping, web crawling have experienced a meteoric rise, especially, in the second half of the last decade due to the increasing demand of collecting the right chunk of the big data from the web and churning out the hidden insights within it.

‘Go viral’ is all about harnessing the right data insights from the app stores.

According to statista, within 2017 a staggering 268,692 million applications will get downloaded by the users across the globe and the total revenue in this particular niche will reach more than $41 billion. Application developers do know about this huge market potential and about the steely competition too.

Admittedly, this idea of going viral on the web has already gone viral but it’s for sure that your plan of making your app going viral without data-backed insights is not going to help you. You are an app developer and you need to stay focused throughout the way to make your app a grand success on the web. So, the idea?

You need one single thing. DATA.

App stores are beaming with information in the form of app reviews, social exposure of apps, user engagement, user ratings and small snippets of their thinking regarding most of the apps residing within them. You need to collect and integrate them to get the whole picture and this is the most scientific way to connect the dots.

Viral coefficient – The Math

According to Data analysts and marketing gurus, there is a definite formula by which you can measure how much potential your application carries to go viral or the possible future of the same. For the most of the app makers, this has been one of the most lucrative ways to forecast the viral coefficient of a particular application. It says,

‘viral coefficient = (average number of users invited by each active user who invites someone) × (proportion of invited users who actually join or become active) × (proportion of active users who invite others)’.

I bet, this is not something you hear every day. At the same time, no marketer can brand this formula with the ultimate ‘go- viral’ tag. The reason behind this is, user trends are changing and it is happening in a radical way.

So what? Why? How?

We all know that change is the only constant. I agree with this. 200%. But, the point is how is it traceable? How is it tradable? How can we design the right plan at the right time? How users want your app to appear?

These are valid questions are there are solutions. Only, the right data can make insights actionable. User generated datasets boast the ability to turn each user into a finite digital pattern which can be analyzed to construct a direct path towards their thinking. In a broader scale, this equals knowing the market potential and social value of a business with the invaluable information about necessary changes you need to bring in your application or service.

Statistics support data

Statistically, new and upcoming e-commerce applications depend chiefly on e-commerce data feeds from the giants in this arena to integrate important changes with their application design and flow. Moreover, app stores are not the only places where users look for apps on the web. Market researchers have already proven the fact that one in four app users discovers an app through search. It’s only 40% of the app users who discover and get engaged with an app through app stores.

When it comes to the factors that influence the number of app downloads, search ads on popular SERPs are still leading the herd with a 50% conversion rate. Social ads are in the second place with a 49% success rate followed by ads in other apps with a 47% success rate. Admittedly, data is the mother of these statistics and these can only bring out the true insights when that data is noise-free.

Going viral = Going social = Going mobile

Modern technology has encased the world within our smart handhelds and this single evolution of screen size has mothered two facets for marketers – challenge and opportunity. If the factors like screen size, portability are the challenges then the reward is obtaining a higher level of user penetration. Back in 2015, a USA adult spent 5.6 hours on the web, of which only mobile devices occupy 2.8 hours(51%). Thankfully, going mobile is the first element of going social. But, it’s not a great idea to focus your app marketing efforts only on popular app stores. For going viral an app should have the versatility to stay live on each surface of the web.

So, what you need is smart data at your disposal. It may be social data to measure the heat map of an issue from Twitter or mass crawling for aggregating news from all the web sources scattered over a finite geo-location. It’s your specific need that defines the type of data you need to crawl or crawl. For a long time, we have experienced a diversified demand of data assisting enterprises and businesses across different verticals. That’s why we know about the complexity in zeroing on the right chunk of the big data that can serve your singular purpose.

We do believe in the fact that there are no pre-defined ways which can make your app go viral overnight (although we do wish that to happen) but it is sure that data is one of them. Good luck.

Planning to acquire data from the web? We’re here to help. Let us know about your requirements.

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