NEEDHAM, Mass.–(BUSINESS WIRE)–Visual IQ, the leading cross channel marketing attribution software provider, today announced that Getty Images, the world’s leader in visual communications, has selected its advanced attribution solution. Getty Images will implement Visual IQ’s IQ Intelligence Suite to understand how consumers interact with its digital media across channels and devices and drive efficiencies in its marketing spend.
“We’re pleased to be working with a world-class organization like Getty Images and look forward to a prosperous and engaging partnership.” Tweet this
Prior to selecting Visual IQ, Getty Images had been seeking to optimize the impact of each digital touchpoint on conversions, and needed an advanced measurement solution that would not only provide clearer insights into how prospects, customers, contributors, and followers interact with its paid, owned, and earned media, but also predict the performance impact of reallocating spend across different channels and tactics. Ultimately, Getty Images singled out Visual IQ for its multi-dimensional algorithmic approach, flexible model refresh cadence, predictive analytics capabilities, and reputation within the industry.
“We sought a robust measurement solution that would provide us with deeper insight into how different channels and devices work together to drive conversions,” said Jason Widup, Senior Director, Marketing Operations at Getty Images. “We were not only impressed with Visual IQ’s experience and client roster, but also with its scenario-planning capabilities, which will enable us to test different strategies for achieving our goals.”
Visual IQ’s advanced attribution solution provides brands and their agencies with a science-backed understanding of how each marketing channel, campaign, and tactic contributes to overall marketing objectives, leading to better performance and higher return on marketing spend. Getty Images will utilize the IQ Envoy product and its cross-device attribution add-on to quantify the impact that each marketing touchpoint has on conversions, and the IQ Sage product to incorporate optimal spend recommendations into its digital and mobile media planning efforts.
“Getty Images is a pioneer and leader in the visual content industry, and they needed an advanced measurement solution that would help them better understand their marketing performance and assess optimization opportunities in an objective, granular, and actionable way,” said Manu Mathew, CEO and co-founder of Visual IQ. “We’re pleased to be working with a world-class organization like Getty Images and look forward to a prosperous and engaging partnership.”
About Visual IQ
Visual IQ produces the world’s most powerful cross channel marketing attribution software products. As a pioneer in the space, the company has been offering products since 2006. Its SaaS-based IQ Intelligence Suite reveals cross channel performance insights hidden deep within companies’ marketing data, providing actionable recommendations and optimized media plans to improve marketing effectiveness. These recommendations enable marketers and agencies to adjust their advertising strategies and tactics to significantly increase marketing ROI across their entire marketing mix – both online and offline. The functionality behind these products combines a powerful, user-friendly interface with multi-dimensional fractional attribution science and predictive analytics that clearly and accurately show marketers where opportunities exist for improvement.
Visual IQ was named a leader in cross channel attribution in 2014 by a leading market research firm, won The Drum’s 2015 Digital Trading Award for Best Attribution Solution, won the 2014 ASPY Award for Best Data or Analytics Solution, and was a finalist in theDigital Analytics Association Excellence Awards in 2013, 2014, 2015 and 2016. The company is a member of the IAB in the US, UK, France and Italy and sits on the association’s Advertising Technology, Data, Public Policy and CFO councils, as well as on the Standards Committee of the Digital Analytics Association.
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