AppLovin and Array To Extend Alliance with OPPO To Deliver Best-in-Class Mobile App

CIOTechOutlook Team | Tuesday, 30 May 2023, 11:26 IST

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OPPO, a major smart device company worldwide, was added to the strategic relationship with Array, a suite of AppLovin solutions for OEMs and telecom carriers. By offering OPPO device users smooth on-device experiences and hyper-relevant app recommendations while searching for and installing apps, the firms are addressing the problem of mobile app discoverability.
 
In addition, Array will grant access to its technologies and the AppLovin app ecosystem. By offering access to and recommendations for apps, the partnership will benefit both customers and the makers of apps and games.
 
“Together, we can create a stronger device and app ecosystem, which creates opportunities for developers to engage with consumers,” said Colin Behr, General Manager of AppLovin Array. “In a world with 2 million apps, Array is helping OPPO generate value for the app ecosystem, while delivering a great user experience.”
 
With the help of the software solution Array, mobile device OEMs may take advantage of more lucrative revenue streams all along the device lifetime. Partners may boost sales and boost customer pleasure by utilising AppLovin's market-leading technology and mobile app network, which reaches two billion global monthly users and 140k+ apps. These features include personalised on-device app recommendations, direct downloads, and optimised experiences.
 
Delivering an outstanding user experience is OPPO's primary focus. Through a collaboration with Array, OPPO is providing users with access to a wide range of apps, from well-known games to productivity tools, all of which are catered to the individual preferences of each user. They stated that having the proper partner and solution in place was crucial as the business entered new areas so that they could not only meet but also surpass their consumers' expectations. OPPO can achieve this thanks to AppLovin's cutting-edge technology, unmatched scale, and potent recommendation engine.