The big problem with PPC attribution modeling no one is talking about

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Recently, I was asked to comment on my favorite attribution model for paid advertising. Off the top of my head, I didn’t really have one — and the more I thought about it, the more I realized that all attribution models are fundamentally flawed in a way no one is thinking about. Or at least, not that I hear discussed regularly.

The issue isn’t with the actual models, per se, it’s that no model really nails what the “total value” being measured actually is.

Let me explain.

[Read the full article on Search Engine Land.]


Some opinions expressed in this article may be those of a guest author and not necessarily Marketing Land. Staff authors are listed here.


About The Author

Andreas Reiffen is an entrepreneur, marketing technologist and thought leader in data-driven advertising. Between 2006 and 2008 Andreas operated as a PPC super affiliate working for Zappos and other retailers. In 2008 he founded crealytics, the Berlin-based provider of camato, the leading Google Shopping Tool to automate PLA campaigns and improve performance. Several of the largest international Ecommerce retailers are using camato to manage Google Shopping in more than 100 markets across the globe, generating over $3B in revenues per year. camato has been shortlisted for numerous awards in 2016 including European Performance Marketing and Drum Search.


 

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