We've seen experiments bring back anywhere from undere million dollars to over forty million dollars in a single experiment. We're hitting multiple channels and multiple campaigns in one experiment occasionally. These are typically analyzing maybe one campaign or at the tactic level, where we can measure against a pretty big outcome. The pay off can be quite handsome. You will end up in a better place because of it. In our case, you know, the customers that are coming on to platform are benefiting from a lot of those lessons learned in the trenches, hot fought. Andt that's what keeps u about. I'm not motivated by reports and good looking reports. I'm always motivated by, how do we increase
Multi-touch attribution, media mix modeling, matched market testing. Are these the three Ms of marketing measurement (Egad! The alliteration continues!)? Seriously. What's with all the Ms here? Has anyone ever used experimentation to build a diminishing return curve for the impact of a media measurement technique based on how far along in the alphabet the letter of that technique is? Is "M" optimal?! Trust us. You will look back on this description after listening to this episode with John Wallace from LiftLab and find it… at least mildly amusing. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.