4 Attribution Models in the Age of Big Data
For marketers, attribution is the Holy Grail. For those unfamiliar with the term, attribution means determining what marketing channel or budget was responsible for generating a particular action. Without proper attribution, it's pretty darn difficult to perform any kind of meaningful ROI calculations on your marketing spend. In fact, I wrote another post about attribution earlier this year or so ago titled "The 'A' Word—Learn It, Love It, Live It!," which pointed out that in today's marketing world, attribution isn't always what it's cracked up to be.
Now it's no secret that attribution analysis is rather difficult to perform in an age of proliferating media, multichannel customers and, drum roll … Big Data. Think about it, how do you gauge which marketing channel was responsible for generating a sale when a customer was sent and read an email, received a direct mail piece and visited a microsite, Googled the company name and found the homepage, but clicked on a sponsored link leading to a landing page, went to and Liked a Facebook page, became a follower on Twitter, tweeted about it to his friends … and ultimately made a purchase using an App on an iPhone. Which channel gets credit? Email, direct mail, organic SEO, mobile, social? All of them? None of them? Some of them? It's enough to make your head spin.
Now enter Big Data. In this column, I've written extensively about the challenge to marketers posed by Big Data. I know, it's the meme du jour … seems like you read about it everywhere you go these days. Basically, Big Data is the massive accumulation of information that's taking place across organizations as they market and engage with their customers and prospects across an ever-expanding proliferation of channels.
As customers and prospects interact with firms across different channels, the data continue to pile up. It's this deluge of information and how to make sense out of it that is being referred to as Big Data. But, as I've written before, Big Data is really the problem—not the solution, per se. The fact that organizations are collecting all of this information is great. It's what they are doing (or not doing, as you're about to see) with it that's most important.
Who’s Your Data? is a blog that aims to disseminate thought-provoking tips and techniques involving the use of data and database marketing to direct marketing professionals. Why should you care? Because implementing data best practices has been shown to lift response rates, improve analytics and enhance overall customer experience. Reader participation is encouraged!
Rio Longacre is a Sales & Marketing Professional with more than 10 years of experience in the direct marketing trenches. He has worked closely with businesses across many different vertical markets, helping them effectively leverage the use of data, personalization technologies and tracking platforms. Longacre is currently employed as a Managing Consultant, Marketing, Sales & Service Consulting at Capgemini Consulting, a premier management consulting firm. He is based in the company's New York City office, which is located in Midtown Manhattan. He has also previously worked as an online media buyer and digital marketing strategist.
Email Longacre below, or you can follow him on Twitter at @RioLongacre. Any opinions expressed are his own.