1. AppLift’s Customer Lifetime Value Optimization Technology Yields 150 percent Return On Investment For Aeria Games
2/18/2014 10:47:41 PM
AppLift’s Customer Lifetime Value Optimization Technology Yields 150 percent Return On Investment For Aeria Games
Applift, LTV, Customer Lifetime Value
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App Developer Magazine

AppLift’s Customer Lifetime Value Optimization Technology Yields 150 percent Return On Investment For Aeria Games



Richard Harris Richard Harris in Marketing & Promotion Tuesday, February 18, 2014
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Mobile Games Marketing Platform AppLift announces that its proprietary Customer Lifetime Value Optimization Technology (LTV) yielded 150% return on investment after recouping the initial investment for Aeria Games’ user acquisition campaigns in over 15 countries. The acquired users achieved break-even in an average time of one and a half months. For the best performing traffic combinations, break-even was reached in less than a week.

Dr. Pascal Zuta, CEO of Aeria Games Europe comments: “We are very happy with the results obtained through AppLift's LTV optimization technology: with an ROI of 150% after recouping our initial investment, AppLift's marketing platform is one of our best user acquisition channels. We look forward to further growing our cooperation.”

Kaya Taner, CEO and Co-Founder of AppLift, adds: ”We are very pleased that our focus on LTV could generate highly valuable users for Aeria Games’ portfolio of great mobile games. We are committed to further provide technological innovation and services that drive value to the mobile games ecosystem.“

AppLift’s LTV technology focuses exclusively on the user acquisition and reactivation side of the business and optimizes campaign ROI through a data-driven focus on post-install events inside the game. Thereby, AppLift’s proprietary traffic quality index, a function of a set of variables based on early lifetime value proxies such as engagement, virality and monetization is deployed to achieve maximum ROI as well as the most efficient allocation of marketing budgets across traffic channels. The technology is not only able to determine the best-performing traffic sources but can also analyze which ad formats (video, banner, interstitial, native etc.) and which specific creatives bring users with the highest LTV.



Read more: http://www.applift.com/