Friendable Focuses on Machine Learning and AI for Mobile Advertising Campaign, Choosing “LiftOff” as Partner
Tapping a Database of Over 2 Billion Unique, Fraud-Free Mobile Profiles
Friendable, Inc. is pleased to announce its partnership with “LiftOff”, a Palo Alto, CA based company founded in 2012, with the mission of revolutionizing how mobile app marketers build and grow an active, engaged user base.
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Friendable plans to deliver a focused approach and strategy that employs a “Four-Phased” approach that has been designed to help the Company acquire users that engage in revenue producing events. These four phases break down as follows:
PHASE 1 – SET UP
- Gather the required graphics, messages and assets to build mobile ad creative: copy, logo, images and videos.
PHASE 2 – LEARN
- Data powers the Machine Learning platform — the more data accessed, the faster campaign goals can be reached
PHASE 3 – OPTIMIZE
- In this phase, the platform has processed enough data to start identifying users with the strongest likelihood of engaging in profitable actions.
PHASE 4 – SCALE
- The Machine Learning platform in tandem with the Creative team continues to optimize, A/B test and scale the Friendable campaigns, delivering industry-best install-to-action rates.
“Our choice to proceed with “LiftOff” as our advertising launch partner for the new Friendable dating app, was an easy one and I believe our strategy is solid for roll out. We now have a partner and a platform that, by design, was the first truly ROI-optimized mobile acquisition and retention platform for non-gaming apps,” said Robert Rositano, Jr, CEO, Friendable, Inc.
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“The Friendable team is now working with the team at “LiftOff” to complete and pass over our designs and assets that will be used to begin testing various campaigns. These campaigns will focus on finding users who will take meaningful actions beyond the initial download and actually make a purchase, which is exactly how mobile app marketing should work. We expect to announce the launch of our campaign in the coming days and look forward to reporting on the results as soon as they are available,” concluded Rositano, Jr.
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