AppsFlyer
Joined in
2018
AppsFlyer is the world’s leading mobile attribution & marketing analytics platform, helping app marketers around the world make better decisions.
AppsFlyer’s holistic approach allows advertisers to measure all media sources, including paid, organic, viral and social sources, without compromising user experience or accuracy. Integrated with dozens of media partners, AppsFlyer acts as the entry point for advertisers to promote and accurately measure their mobile app promotional campaigns. Our mobile SDK code runs on more than 95% of the world smartphone devices, sending billions of requests to our server every day!
Metrics such as installs, post-install attribution, engagement, retention, ROI (return on investment) and LTV (lifetime value) per source are built into AppsFlyer’s core analytics platform, allowing mobile marketers to reach, maintain and optimize for consistent profitability with great ease.
AppsFlyer’s holistic approach allows advertisers to measure all media sources, including paid, organic, viral and social sources, without compromising user experience or accuracy. Integrated with dozens of media partners, AppsFlyer acts as the entry point for advertisers to promote and accurately measure their mobile app promotional campaigns. Our mobile SDK code runs on more than 95% of the world smartphone devices, sending billions of requests to our server every day!
Metrics such as installs, post-install attribution, engagement, retention, ROI (return on investment) and LTV (lifetime value) per source are built into AppsFlyer’s core analytics platform, allowing mobile marketers to reach, maintain and optimize for consistent profitability with great ease.
Website:
https://www.appsflyer.com/
Software Engineer
AppsFlyer
$$$$
Hybrid Remote
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Ukraine
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3 years of experience
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English - B2
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Advertising / Marketing
The DataOS team at AppsFlyer is building and operating a reliable, high-scale data platform that powers analytics and product capabilities across the company.
We process more than 150 billion events per day and manage petabyte-scale historical data. Our team owns much more than a traditional “data lake” — including schema management, ETL pipelines, and interfaces to and from storage.
If you’re excited by scale, ownership, and building production-grade data systems, we’d love to meet you.
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