Content marketing is all about making things personal. It’s about providing the information consumers need in a way that helps them see the benefits of your goods and services. It’s about reaching both an advertising executive in Utah and a mommy blogger on the West Coast. It takes a lot of work, and after all your time and effort is put into personalizing and optimizing content marketing strategies, how do you know if any of it is paying off?
What’s the Deal With Metrics?
Content marketing metrics allow marketers from Utah and around the world to quantify and visualize the success of each piece of content. There’s just one glitch. A recent McKinsey survey shows that only a third of marketers report they really are able to quantitatively show how effective their marketing is.
How to Dive Deeper Into Analytics
This dilemma is creating an industry-wide call for deeper content marketing metrics. These forms of deep analytics don’t just show return on investment. Deep analytics enable marketers to improve future content. In order to get this type of information, marketers must invest in emergent content technologies that turn consumers into active participants by delivering each consumer a custom, interactive experience.
How does this differ from traditional content marketing approaches? Well, most content marketers work under a distribution point model, meaning they try to collect consumer data when the content is delivered to the user, like selecting ads based on search history. This is all good, but too many marketers stop there. There’s limited personalization, so you get limited engagement and limited insights into the consumer.
We’ll Say It Again: Give the Customers What They Want
To continue to improve and develop, content marketing professionals need to bridge the gap between creating personal content and improving data analysis and collection. This means investing in a personalized customer experience, or simply put, giving the customer the content they actually want. It doesn’t matter if you’re in Utah or in the Big Apple. Increasing personalization means more insights into each customer and deeper metrics overall.
