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At Google’s Marketing Next conference, the company is announcing a new beta for Google Attribution, a free tool for examining the role that different marketing strategies play in customer purchasing decisions. Regardless of device or marketing channel, Google wants Attribution to be a home for evaluating marketing campaigns. By creating a tight loop between strategy, ad spend and feedback, Google aims to make the tool attractive to marketers that feel last-click models don’t sufficiently explain customer behavior. A panacea for attribution is not a new construct in the world of marketing. Companies like Adobe and startups like BrightFunnel and Bizible have been developing tools for years that allow marketers to break the old last-click paradigm. Up until recently, most marketers would credit any sale to the last touchpoint a their company had with a customer. This flawed strategy allows marketers to quantitatively evaluate marketing campaigns, but its more of a heuristic than a ground truth. New machine learning-powered methods enable marketers to model the relative contribution of disparate advertising efforts. This is a much more informative method of evaluation. In the real world, video ads, banner ads, emails and other materials all work in consonance to drive conversions — it doesn’t make sense for the final social media ad to get all the credit.