Austin, Texas-based Measured has launched a platform promising marketers the ability to view incremental ad performance across all paid media platforms, in one place, without the need to track users across the web.
Measured makes use of machine learning and data science to help marketers manage, test, plan and optimize a full-funnel media portfolio. The firm, which was established in 2017 and formally launched two years later as a 'cross-channel incrementality measurement and decisioning' platform, says the new platform 'solves advertising's walled garden problem and completely overhauls the industry's current approach to measurement'.
Measured says current methods rely on 'correlation', not causal measurement - they assume a link between an individual seeing an ad and making a purchase, even though a purchase may have occurred anyway - this makes such attribution 'a misleading or even reckless guide for marketers' media investments'. The new platform boasts three main features differentiating it from this:
All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.
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