UI Design: Using Machine Learning Thoughtfully

There are vast amounts of data available right now, and if you have any tracking on your website or app of clickstream data, chances are you are using analysis, data science, or machine learning to try making sense of it all. This is great! Whatever level of analysis you are using, moving to a data-informed […]

Goodhart’s Law: Additional Taxonomy, Applied to Digital Marketing

One of my favourite concepts is Goodhart’s Law: “When a measure becomes a target, it ceases to be a good measure.” Scott Garrabrant on LessWrong came up with a framework for four different ways proxy measures can fail when you are optimizing for them. To reinforce my learning I wanted to try finding examples in digital […]

What Attribution Doesn’t Measure

Attribution isn’t the only way to analyze media, and in some cases, it isn’t the most appropriate tool. Consider media mix modeling when you want to measure offline and branding initiatives more than the direct response to media: Attribution, whether rules based or data-driven, captures credit towards a conversion or purchase. So what doesn’t get credit? Attribution […]

Adding Context to Attribution Data

As with all things, without context, attribution data is hard to interpret.  I discuss on Cardinal Path’s blog why it’s so important to make sure your attribution analysis includes controlling for the cost of the media spent. As marketers continue to grapple with assessing every channel and marketing touchpoint, it’s important to note — attribution […]

Is your website helping drive conversions? Use Content Attribution to find out!

Read my post on Cardinal Path’s blog to learn more about content attribution. Attribution is used to determine which marketing events contribute the most (and most often) to sales conversions. But in almost all cases, customers will see more than just advertising before they convert. Oftentimes, they will be fed content across your website which […]