By Clare McDermott published September 15, 2016

What Is Content Intelligence?

content-intelligence

Jordan Koene, vice president of services and chief evangelist at Searchmetrics, answers our questions, explains what the term “content intelligence” means, and offers practical applications for marketers.

CCO: The subject of content intelligence spans many areas; when you describe it to marketers, how do you ensure that it’s not just understandable, but also relevant?

Koene: You’re dead on. Virtually every definition you see of content intelligence poses as many questions as it answers because it spans so many topics.

Fundamentally, the only way for a marketer to understand whether a specific content marketing strategy works is to start with the data. Take your historical data and compare it with competitive data to identify leading metrics. Then you produce content. Then you use data to analyze the effectiveness of that content and work from there.

Start with the data to understand whether a specific #contentmarketing strategy works says @jtkoene. Click To Tweet

Take the untimely death of Prince. There were hundreds, if not thousands of articles from news and entertainment outlets, blogs, Twitter, Facebook, and lots more. If you searched online about Prince in the days following his death, Google would present maybe four or five search results at the top of the page, then load up other Prince information from Wikipedia, Instagram, and elsewhere.

On the other hand Google News served up a lot more in-the-now information, but there you would see that the marquee main headline changed hands many times throughout the day, as Google decided one piece of content was more interesting than another. Examining that data later, you might decide that in a case like a famous person’s death, you shouldn’t go with a straight obit (where competition is fiercer) but dust off recollections of the individual.

In addition to simply analyzing historical data to find out what worked in the past, it’s also critical to understand the human side (i.e., user intent) to predict what may work. The better the tool set, the higher the probability you’ll have a winning outcome.

CCO: What particular marketing problem(s) most call out for a content-intelligence approach?

Koene: Content intelligence solves many problems. One solution we are exploring is analyzing content performance from multiple viewpoints. Historically, marketers have taken a very binary perspective (e.g., “How much traffic is my content receiving?”). Content intelligence must use a variety of methods and metrics to assess performance related to social media, search, paid advertising, desktop vs. mobile, and many other factors. At its core, content intelligence attempts to solve several problems: What to write? Why write it? How does it impact users?

CCO: Can you share some first steps for marketers?

Koene: No. 1 – data. No. 2 – data. No. 3 – more data. Marketers should have a lot of information about how content connects with their users. When I worked at eBay, we used data to understand what gaps we might have in our content output. We found that people want lots of information on products. To fill the gap, we created guides that attract informational searchers — things like how to buy a blender or what’s the best pair of running shoes. Starting with your own data very often can determine where you’re missing a key part of the puzzle.

Some other areas to consider: Examine performance metrics to identify dead content that needs to be removed from your website. Or compare what content works best for your competitors, and whether yours is superior or needs more work. The best content intelligence combines data and business strategy.

Examine performance metrics to identify dead content that needs to be removed from your website says @jtkoene Click To Tweet

CCO: How about examples of intermediate/advanced steps?

Koene: One of my favorite data projects is called content recall. Content recall uses the same fundamental practices of brand recall. Essentially, you’re examining users’ feelings and expectations related to your content. For example, you may study all the tweets about a particular piece of content. Within those tweets there is significant redundant terminology (e.g., words with similar meaning or words all related to a particular user intent). By aggregating specific terms, you can better understand what users are expecting. Say you track 10 branded, 40 product-related, 50 commercial-related, and 10 competitive terms. By grouping the terms, you may see that while commercial and product expectations are important to users, a particular page should use more competitive terms to attract buyers from your competition. (Without aggregating terms, you may not have detected that pattern.) This can dictate content edits and changes to improve the overall performance.

CCO: Are there missteps you see marketers making? What problems/risks face marketers embarking on some of the projects mentioned?

Koene: One of the biggest mistakes I’ve seen content marketers make is thinking all traffic is created equal and that generating traffic for your content is the primary objective. Simply looking at changes in traffic leaves you with little understanding of user expectations or the emotional response your content generates. Understanding user intent is increasingly important to overall success — if for no other reason than it’s a major focus for Google’s algorithmic efforts. If I reach a search page that has a shopping cart, one would assume my intent is transactional — that is, I’m buying something instead of window shopping. Google has identified similar patterns and associates your content with the expectations of the user. Reaching this level of understanding is far more difficult than the old days of simply understanding the need for content quality.

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CCO: What role does technology play? Is it a supporting role or a primary role?

Koene: Technology helps content owners and managers scale their efforts and become more efficient. Yet adopting new technology is challenging for content creators because it interrupts the content production flow. Technology can transform the content intelligence and content production environment, but it must not disrupt content creation in the name of delivering insights to the user.

Conclusion

In summarizing his views, Jordan offers these five content intelligence tips to help your content marketing:

  • Look beyond internal data.
  • Understand what the user’s emotional expectations might be.
  • Use multiple data points to interpret the effectiveness of content (i.e., social data, search data, internal data).
  • Consider removing content before adding more content.
  • Leverage the content-recall model to understand what users are expecting in your content.

This article originally appeared in the August issue of Chief Content Officer. Sign up to receive your free subscription to our bimonthly, print magazine.

For more strategies that can help your content hit the right speed, sign up for our Content Strategy for Marketers weekly email newsletter, which features exclusive insights from Robert Rose, CMI’s chief content adviser. If you’re like many other marketers we meet, you’ll come to look forward to his thoughts every Saturday.

Cover image by Joseph Kalinowski/Content Marketing Institute

Author: Clare McDermott

Clare McDermott is the editor of Chief Content Officer magazine and owner of SoloPortfolio, a Boston-based content marketing provider for professional service firms.You can follow her @soloportfolio.

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  • http://www.ceralytics.com Brandon Andersen

    Content intelligence definitely comes with many definitions. I think you definitely hit on the point that the goal of content intelligence is to ultimately answer the question of “What do I write?”

    I think the key differentiator between content intelligence and marketing intelligence is that CI has a more granular emphasis on the topics that resonate at every level of the marketing funnel. Like you mention, it’s not just about getting page views, but seeing what content is really resonating with an audience from awareness through conversion.

    We often see advice that paints with broad brush strokes of “I want to create content that attracts and converts.” True content intelligence can show you that it takes different content to attract an audience than it does to convert them. The data will then show you what attracts, what converts, and give you insights on how to bridge that gap.

    This is what we’ve found with many of our clients. Content that attracts AND converts in a single visit is very rare. Rather, it’s more important to see what content, when used together, can attract, engage, and ultimately help convert your audience. That’s what content intelligence gives you – the content path from awareness to conversion and recommendations on how to increase its effectiveness.

  • http://consultantstohelp.co.uk/ Paul Alves

    In my view there is various ways to analyse extracted data. I agree that ” Content intelligence must use a variety of methods and metrics to assess performance related to … ” The issue is how to get it right, quick enough and provide value or wow factor all at the same time.

    For me content intelligence is all about seeing, understanding audience’s searches, needs, see what competitors are doing and what type of content is working better, content A/B testing is useful instead base ourselves on G.A – but above all, one should have the hability to collect valuable insight in real-time in order to produce, organise valuable content and of course innovate the offer accordingly. But there is a tiny problem, (unfortunately) these tools are out of reach for many of us. That’s why we’re seeing too much repetitive/similar content and getting less and less quality. So, I believe we’ll need more affordable SaaS or SCRM tools to helps us integrate and understand better how content is perceived by the end user. We’ll also need to analyse CI on a daily-basis. The content marketing strategy only works if you can offer value across channels, differentiate from the herd, whilst creating genuine engagement.

    Clare, thanks for bringing the topic up! I believe this could leads us to more Content Intelligence strategy topics. 🙂

  • Kidrock Karthik

    Hello Claire,
    It was an interesting read. But, how would CI be helpful in identifying the gaps in the existing content ? Could you throw a light on the tools.

    • http://www.jordankoene.com Jordan Koene

      Great question! Gaps are always important to identify. There are various tools which can be used to identify gaps. One of our (Searchmetrics) person favorites is shared vs. unique keywords. This is essentially the keyword ranking overlap between two websites. This provides a view of which keywords or topics are missing. Other great tools include Google Analytics, often overlooked Google Trends, QuickSprout and Similiarweb to better understand gaps.

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  • http://writology.com/ Writology

    Content intelligence has become a problem most modern bloggers do not even realize. Eventually, people will skip the content that doesn’t bring any value to the reader, so it’s better to think about it now.

    As it has been mentioned, converting readers into clients is another issue. Most often, interesting content is what gets most shares, whereas, commercial content is not the one readers are willing to repost, however, it contains selling keywords that help to rank by them.

    Also, you have mentioned, that it’s better to delete unpopular content that doesn’t bring traffic, however, some seo argue that it’s never good to do so. Instead, it is advisable to update, bring more value to it and insert new relevat keywords.

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    CCO: Can you share some first steps for marketers?

    Koene: No. 1 – data. No. 2 – data. No. 3 – more data. Marketers should have a lot of information about how content connects with their users. When I worked at eBay, we used data to understand what gaps we might have in our content output. We found that people want lots of information on products. To fill the gap, we created guides that attract informational searchers — things like how to buy a blender or what’s the best pair of running shoes. Starting with your own data very often can determine where you’re missing a key part of the puzzle.

    ….just a question.. So with all the hashtags being generated on key subjects that are geocoded during the election would be very valuable then? Who would sell or buy that?