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Table of Contents
• The Technology Behind the Data • Introduction: Business Models for Emerging
Markets • How Do You Monetize Users with Lower
Disposable Income? • Examples of Innovative Business Models • Conclusion
The Technology Behind the Data The information contained in this report was compiled from App Annie Intelligence, the leading market data solution for the app store economy. To see how our app store download and revenue estimates can help guide your critical business decisions, take a tour or request a demo today.
Introduction: Business Models for Emerging Markets
• The scale of mobile has become a hot topic among technology investors, and rightfully so, with the mobile industry dwarfing the size of other technology sub-verticals.
• The smartphone installed base is quickly approaching 2 billion and may have already overtaken PCs.
• This is incredibly impressive given that the smartphone revolution only began in 2007, whereas the PC paradigm took hold decades ago.
Market Group Performance Based on iOS and Google Play Data
As we mentioned in our 2014 Retrospective, emerging markets have seen sharp growth in downloads but remain far behind the developed markets like the US and Japan in revenue generated through iOS and Google Play.
How do you monetize users with lower disposable income?
As we showed in the IDC-App Annie Monetization Report, existing monetization models have proven to be very effective for the current smartphone user base because of their purchasing power. However, the “next 2 billion” may pose the following challenges: • Access to credit may be difficult.
• Purchasing power may not be strong enough for freemium or subscription models, even with support for alternate forms of payment, such as direct carrier billing.
• Advertisers might pay less to reach those with less disposable income. With these potential difficulties, developers will have to explore innovative business models that rely on volume to monetize. One example can be referred to as “crowdsourced by-products”. To implement this business model, companies start by developing a useful, engaging, and — most importantly — free app for consumers. The app acts as a crowdsourced labor pool that creates a by-product in exchange for the use of the app for free. That by-product can then be monetized by the company.
Examples of Innovative Business Models An example is Duolingo. The company’s business model relies on using its algorithm to convert user translation exercises into paid translations for customers like CNN and Buzzfeed. According to the company’s founder Luis von Ahn, these translations are of better quality than automated translations but are much cheaper than professional ones. By using this model, Duolingo has already been generating revenue from translations provided by 10% of its user base. This percentage is likely to grow as Duolingo’s user base expands and its algorithm continues to improve. With further improvement, its translations could become good enough for a much wider range of paying customers.
Examples of Innovative Business Models
A variant of this business model has even made its way to cancer research.
Play to Cure: Genes in Space looks like another space-themed arcade game, but it was actually developed by Cancer Research UK to help identify defects in real-world DNA microarray data.
In just one month, data from in-game paths charted by thousands of gamers helped make 1.5 million DNA classifications.
This saved 6 months of manual data analysis by cancer researchers and scientists. The results were so impressive that Cancer Research UK partnered with Channel 4 to launch another puzzle game called Reverse The Odds to help with research on bladder cancer.
Play to Cure: Genes in Space helps cancer researchers analyze data by tracking the routes taken by players to collect a valuable in-game resource.
Conclusion • These apps rely on user engagement to monetize (or reduce cost) and the
purchasing power of an individual user is no longer relevant, regardless of their income.
• As a result, this business model could be an effective way to monetize users in emerging markets and those with lower disposable incomes.
• As an investor, how do you assess the potential of such emerging business
models?
• Tracking user engagement is one of the few ways to accurately evaluate apps that monetize off-store. This is where App Annie’s Usage Intelligence comes in. Usage Intelligence provides insight into active users, engagement and retention metrics for thousands of apps. Precise app usage estimates could prove to be a valuable resource in understanding companies targeting “the next 2 billion” consumers.
Confidential l Property of App Annie l Do Not Disclose l © App Annie 2014
Confidential l Property of App Annie l Do Not Disclose l © App Annie 2014
Want to do some of your own analysis? Create a free App Annie Store Stats account today. For even more advanced analysis, check out our enterprise product App Annie Intelligence.
Notes: • The charts in this post are based on the download and revenue es6mates available through App
Annie Intelligence • All es6mates are for iOS and Google Play only and exclude revenue from in-‐app adver6sing. • Certain trademarks and/or images used in this report may belong to third par6es and are the
property of their respec6ve owners. App Annie claims no rights to such trademarks or images.
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