Trends in Content Marketing 2017 and Beyond:
Measure Content Success
Data Science and Data Analytics not only helps measure the success of your content marketing, it also informs your content strategy and planning. As the massive data induced business insights and predictive analytics become mature, we will converge into three categories of metrics to help measure success of your content marketing. More quality focused vs quantity. In this article I present to you what key performance indicators to look after. Here are Trends in Content Marketing 2017 and Beyond: Measure Content Success.
Quality Metrics
This is where we measure the effectiveness of content, engagement , the look-n-feel, and copy. We also track the marketing data quality, CRM data quality, reach/open/click through metrics.
Engagement Metrics
What is the best week of the month, day of the week, hour of the day to distribute each type of content. We track response rates, replies, shares, form fills, video watches, webinar attendance, engagement during webinar, and much more.
Revenue Metrics
At the end of the day, this is the most important set of metrics. Here we track leads generated, revenue generated, net market contribution, cost per lead, and other critical business metrics that measure the hard success of your business.
The other two articles in this series of three articles are:
- Trends in Content Marketing 2017 and Beyond: Content Creation
- Trends in Content Marketing 2017 and beyond: Content Delivery
