Out-of-home (OOH) is in the middle of a technological and data-driven evolution that is changing the industry. One of the biggest changes is how we’re measuring and attributing OOH results. Companies are scrambling to come up with reliable models that they can count on.
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And it’s harder than it looks. Building a truly accurate measurement and attribution framework requires a thorough grounding in data science. In this webinar, we’re going to go over the requirements and theory for a dependable framework, including:
•Why observation measurement alone isn’t enough
•The difference between causality and correlation
•The importance of establishing KPIs and building integrated campaigns
•How to build a comprehensive system designed to accomplish your goals
If you want to know how to truly know what your advertising is doing, then this webinar is for you.