Turning Data Into Actionable Content Insights

Updated: Sep 27

In this interview with content engineering maven Colleen Jones, we discuss how psychology, persuasion, and neuroscience play essential roles in making content influential. We also talk about the coming artificial intelligence revolution and the need for organizations to develop content intelligence.


Scott Abel: Colleen, I’m super excited you were able to make time to speak with me today. Before we dive into the hot topics, tell our readers a little about yourself.


Colleen Jones: I’m a curious and committed content-loving geek who has worked at the intersection of content and technology for 20 years. Some people might politely call me seasoned. I’m incredibly enthusiastic right now about helping large companies and organizations mature their approach to content and encouraging the advancement of content practice. By content practice, I mean methodologies and skills, as well as technology and tools.


Scott: I love your company name. It speaks to me. What is Content Science? What does the company do, and whom does it serve?


Colleen: I named the company Content Science because “science” suggests significant discovery, innovation, and paradigm shifts. At the same time, it also means refining our knowledge and practice, as the phrase “get it down to a science” implies. And, of course, it’s all backed with data.


Content Science partners with large (midsize to enterprise) companies and organizations to innovate their approaches to content, develop effective strategies to scale those innovations, and optimize what works well. Our services and products help established companies and organizations modernize content production efforts, and they’re also excellent for newer companies that want to embrace ongoing innovation.


Scott: What is a content scientist? What does a content scientist do?


Colleen: A content scientist blends analytic ability and creative problem-solving into content discoveries and effective content strategies. A content scientist sees data and feedback about content as inspiration for innovation. For example, content and data scientists at Netflix played an essential role in assessing the opportunity to create groundbreaking original content. That resulted in the “content moat” strategy Netflix uses today. Talk about a repeatable and profitable strategy!


A content scientist also can help assess and optimize content through advanced techniques such as multivariate testing driven by machine learning. Again, Netflix is a famous example. Netflix tests different images to represent their content (movies, TV shows) and selects the image that correlates with more people clicking on and consuming the content.

Sometimes the content scientist is called something else, such as an analyst or strategist, but what matters is bringing scientific thinking to content decisions.


Scott: I’ve long believed that “content is a business asset worthy of being managed efficiently and effectively.” It’s central to my philosophy. And, it makes sense in a business world struggling to determine a return on investment from content. At Content Science, you seem to agree with my view, but take the idea forward a bit by adding that brands have a “significant ethical responsibility” to get content right. What do you mean by this?


Colleen: Psychology, persuasion, and neuroscience are essential in making content influential. Content is powerful, in other words, and Forward-thinking brands use this power wisely. For example, Starbucks, The Home Depot, REI, Red Bull, and The Coca-Cola Company have each made concerted efforts to tell stories with substance through content—brand journalism. While you might not agree with everything all of those companies do or stand for, you have to respect their effort to engage on a deep level.

And, of course, we view content quality—getting the facts right, keeping the content updated, providing enough detail to help people make informed decisions—as an ethical responsibility, too. Whether your content is making a sale or saving lives, the right thing to do is to get the content right.

Scott: Far too often, content creators and strategists are left to their own devices, using little more than tradition, outdated rules, and psychic power to guide their efforts. At Content Science, you talk a lot about content intelligence. What do you mean by this term?


Colleen: Yes, we are big advocates for content intelligence. I’m amazed at how often content creators and strategists work in data deserts. Despite being surrounded by tools (and having access to some types of data), they typically have little or no valuable data and insights about their content.


When content strategists or creators want to propose an idea or introduce a change, they are hamstrung because they can’t look to the data for insight or validation. That has to change, and we’re working hard to make that change happen. We developed the term content intelligence to mean the systems that take data from many sources and turn them into actionable content insights. We encourage companies to build a content intelligence system that provides constant feedback and insights—and that system is usually a combination of software, people, and process.


Learn more: [Whitepaper] 3 Elements of Content Intelligence


Scott: Gaining insights from content can be challenging. Traditional approaches to measuring value are limiting, and most companies aren’t very good at capturing—and acting upon—analytics. And, when companies make an effort, they often end up counting things that don’t help them improve content effectiveness. Do you see the same challenges? What can companies that value content as an asset do to measure performance and quantify the effectiveness of their content?

Colleen: Yes, we see those challenges and many related ones, such as not being able to assess content return on investment because they don’t understand whether the content is effective. I find this situation happens because the approach to evaluating content is haphazard, focusing on what is easy to measure, not what matters. Companies that value content as an asset can avoid this by developing a content intelligence system. That can start by asking, “What do I want to know about my content?” and then listing what insights or data would help you answer that question. Assess what tools and data sources could supply those answers. Most often, you will need an ecosystem of tools and data sources.


To make getting those answers more straightforward, we developed a tool called ContentWRX, which evaluates content effectiveness by collecting voice of customer data and critical analytics. ContentWRX cuts the hassle out of collecting content-focused feedback reliably and repeatedly. We also can couple ContentWRX with services to assemble data from ContentWRX and other sources—web analytics, social analytics, satisfaction data, support call driver data, media mention data, and more—to create custom reports or dashboards. We do whatever we can to help organizations make content intelligence part of their content operations.


Learn more: [Webinar] Content Analytics: 5 Ways To Measure What Matters


Scott: Your firm, Content Science, produces helpful content. One of my favorite sources is your digital publication, Content Science Review. Can you tell our readers a little about the magazine?

Colleen: You just paid us one of the highest compliments I could imagine—calling our content helpful. Content Science Review is an online magazine dedicated to advancing content practice by offering a mix of practical articles, inspirational success stories, and in-depth research and guides. The Content Science team contributes as well as many of the world’s leading companies, from Alibaba to the American Cancer Society to AirBnB. Our topics include content strategy, content intelligence, leadership, content operations, branding, content marketing, and much more.

Recommended reading:

  • The Three Elements of Content Intelligence

  • How to Develop a Content Taxonomy

  • Evaluating Content Effectiveness


Scott: Change is ubiquitous in the fast-paced world in which we live and work. Keeping up-to-date on the topics and developing new, in-demand skills can be challenging. What is Content Science Academy, and what types of educational classes are available?

Colleen: Content Science Academy is our answer to many requests at our in-person workshops to offer online training. We decided if we’re going to do this, we’re going to do it right. So, we created Content Science Academy as the world’s only online training portal dedicated to content excellence.


We offer some public courses and certifications as well as packages of certificates for large organizations that need to empower their content teams. We focus on certifications in modern content roles and skills such as content design, content engineering, content science, and content strategy.


Earn a Certification:

Scott: Let’s take a peek into your crystal ball. What changes will disrupt content creation, management, and delivery over the coming decade? What skills do you believe technical communication and other information development professionals should consider adding to their toolboxes in the future?

Colleen: Automation, automation, automation. Content automation is going to the next level with artificial intelligence. For example, every competitive content management system will have some level of natural language generation in the next year or two. Content-related roles will evolve. We need to focus on skills that will not be replaced by machines easily, such as strategy, modeling, and planning.


Scott: Technology is advancing at a record clip. Are you excited about the possibilities? And, if so, what are the most interesting and exciting technologies that you believe will play a significant role in reshaping how we craft, consume and interact with content?

Colleen: I’m a FANATIC about the possibilities of advanced technology for content. We finally have technology advanced enough to bring our longtime collective vision of delivering the right content to the right customers through the proper channels at the right time a reality. Artificial intelligence, content intelligence, and personalization create highly dynamic and responsive customer experiences — all exciting possibilities.


We can provide different screens with different messages and different content offerings to varying customers in real-time. We can advance chatbots to assist customers on demand. We can quickly sift through volumes of data and content and automatically write useful reports, summaries, descriptions, and more. And I’m only scratching the surface. The future of content and technology is bright; we need serious shades. 😎

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