Tracey Scheppach's new marketing and media practice leverages Tapad's device-level data to help clients achieve "marketing nirvana"
NEW YORK and CHICAGO, April 5, 2017 /PRNewswire/ -- Today, Tapad, the leading provider of unified, cross-screen marketing technology solutions, and Matter More, a next generation marketing and media practice with deep experience in the advanced TV space, announced a strategic partnership to bring together world class digital data and audience development expertise to help marketers improve how they connect with consumers.
As consumer behavior continues to expand across multiple devices, today's marketers need robust, comprehensive data solutions to accurately engage the people who matter most to their brands. At the same time, the TV industry has reached an advertising tipping point, capitalizing on the power of device-level data.
"Achieving unduplicated reach and frequency across all channels with true addressability, and the ability to measure outcomes, is marketing nirvana," says Tracey Scheppach, CEO and co-founder of Matter More, a new agency built for the modern age. "The best opportunity to deliver 'marketing nirvana,' at scale, is by partnering with Tapad and using their world-class Device Graph to help our clients simply matter more to the people they care about most."
"By leveraging our access to rich TV data, we can now measure the actual performance of media across channels," says Marshall Wong, SVP, TV for Tapad.
Tapad's proprietary Device Graph™ unifies consumer behavior data across all devices, uncovering the interests, passions and behaviors of the audiences who matter most. As with any data solution, privacy, transparency and trust are crucial to bringing marketers a solid offering that delivers results.
"Tapad is excited to partner with Matter More to tap into their knowledge base and experience working with some of the largest brands on TV today," says Kate O'Loughlin, SVP and GM of Tapad's media division. "The time has come to truly unleash the power of device-level data at scale."