Content curation is disrupting content creation. Are content marketers moving fast enough?

October 8th, 2014 & Filed under Industry Analysis

First published on LinkedIn.

A few weeks ago, I made the trip down to Content Marketing World, “the largest content marketing event on the planet” with over 2600 delegates representing 50 countries.

I wanted to explore how the activity of content curation—the process of collecting, organizing and displaying information relevant to a particular area of interest—was impacting this massive content marketing industry.

Content curation may be one of the most disruptive forces in marketing, with an impact crater particularly devastating to activities directly and indirectly linked to content creation.

Based on a review of the activities at Content Marketing World and a supporting data analysis of thousands of articles in the media, content marketers appear slow to respond to this change.

The activity of curation is perceived as subordinate to content creation, complementary but not disruptive. Content curation is a new engine of content marketing, but the industry is tightly coupling it to the old activity of content creation.

The response from marketers? “It’s not creation or curation, it’s both!” Yes, it’s both. I would have had a tremendously difficult time making the arguments in this post without creating the content for it.

However, to say it’s both misses the point of a disruptive change and raises your risks of ending up under that crater. Read more »

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Open Source Health and Primal Develop Personalized Health Discovery System

July 9th, 2014 & Filed under News

Women will benefit from the proactive delivery of personalized health information, using Primal’s proprietary artificial intelligence technology

Toronto, Canada / TNW-ACCESSWIRE / July 9, 2014 / Open Source Health Inc. (CSE:OSH), a cloud based patient engagement system that puts control in the hands of women to Educate, Advocate and Collaborate on their own healthcare, is pleased to announce a strategic partnership with Primal to power discovery of personalized health data, as part of the OSH integrative health platform.

“Conventional search technology is inadequate at providing the personalized information women need to take a pro-active role in their own health,” stated Sonya Satveit, Founder and CEO of Open Source Health Inc.  “By using Primal’s patented artificial intelligence technology, a detailed understanding of each woman’s needs is used to proactively deliver the right information at the right time. This accelerates the discovery of new information and the learning experience for every woman.” Read more »

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Adding Automation to Human Content Curation

May 8th, 2014 & Filed under Use Cases

Content curation, the activity of collecting, organizing, and presenting information of interest to a target audience, is an essential component of content marketing.

As in many areas of marketing, aspects of content curation are being automated. Marketers are exploring how smart machines can help improve their productivity and performance. Automated content curation, however, is a young field and it’s difficult to separate the promise from the hype.

At Primal, we’re well aware of the importance of curation, but constraints of time, money, staffing left us unable to pursue sustained campaigns in content curation. As such, we wanted to explore how automated systems could be used to improve our efforts.

In this post, we’ll outline how we incorporated automated content curation into our activities and what we learned about its impact on marketing professionals. Read more »

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Putting the Really Simple back in RSS

April 12th, 2014 & Filed under Product Updates

Introducing Primal’s intelligent content feeds

intelligent-rss

If you’re like us, RSS feeds are an essential part of your content pipeline. You use these feeds to keep track of the sources you care about, and share the best items with your customers and colleagues.

RSS is often referred to as Really Simple Syndication. The truth is, it’s really not that simple. And the more you use it, the more complicated it gets!

In this post, we unpack the problem with RSS and introduce you to Primal’s powerful yet simple solution. Read more »

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The simple way to add targeted Web content to your favorite app or website

February 28th, 2014 & Filed under Product Updates

Introducing Primal’s content service

Personalized Web content for your app or website

You need content that’s tailored to your unique perspective, supporting the topics and sources that make you stand out from the crowd. You need a superstore, not a corner store, and you don’t want to do a lot of work to get it.

Primal’s open interest graph is already the most comprehensive source of Web content targeted to your specific interests.

Today, we’re excited to announce that we’ve made the world’s largest open interest graph much simpler to use!

Read more »

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A Visual History of The Next Big Thing (and how to see The Next One coming)

December 14th, 2013 & Filed under Industry Analysis

First published on Medium.com.

In business, vision isn’t some mythical ability to see the future. It’s about being able to recognize a pattern and apply it to something new, before others see it coming.

In this post, we’ll introduce you to one such pattern, the gestation of new media within old media. We’ll then review some examples of how the pattern has repeated itself over the past 30-years, from one Big Thing to the Next.

We’ll then apply the pattern in the here-and-now, to see how it points to The Next Big Things. Read more »

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There’s a Graph for That!

December 3rd, 2013 & Filed under Industry Analysis

According to Murthy Nukala, “any marketer who doesn’t have a graph within the next twelve months will be at a permanent competitive disadvantage.” That’s a pretty ominous warning, particularly when most marketers have no idea what a graph is, let alone how to use it.

coloured-lines

Graphs are a useful way to represent relationships between things. And the World Wide Web is called a Web for a reason: it is a huge network composed of pieces of content and links among them. So it isn’t surprising that graphs are being used everywhere in IT these days to represent particular kinds of relationships among types of content living on the Web.

Since every kind of relationship among things on the Web seems to have its own graph, it can get a little confusing keeping them all straight. That also makes it hard to determine which of those many graphs could be important to you and your business.

You might find it all befuddling enough to develop graphophobia and just ignore them all. That would be a shame, because leveraging these mysterious graphs could truly revolutionize your business.
Here I’ll connect some of the dots and help you understand what graphs are and why they are important. Read more »

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Big data’s creative and empathetic sibling (and why they struggle to get along)

November 13th, 2013 & Filed under Industry Analysis

Joyce Hostyn argues that Better Human Understanding, Not Big Data, Is the Future of Business. Some excerpts (with my emphasis):

Despite the best of intentions, we’re not data driven, we’re hypothesis driven. Our stories (our mental models) are merely hypotheses of how the world works. But we see them as reality and they influence what data we collect, how we collect it and the meaning we glean from it…

In a quest to become data driven, are marketers trapping themselves with outdated mental models of data and analytics? “Big data is being wasted on marketing. The true power of analytics is in revealing cultural dynamics.”

Many echo these concerns about data-driven marketing, and the need to be skeptical and hypothesis-driven. (1) (2) (3)

Hostyn concludes her thoughtful article with a number of questions, including:

  • Can we leverage big data to zoom out and understand patterns and trends, then zoom back in for a dive deep into the hearts and minds of individuals?
  • Are we willing to develop hypotheses with the potential to disrupt our old mental models? Create experiments to test those hypotheses. Prototype to think. Collect feedback. Iterate.

At Primal, we’ve invested years exploring this mode of hypothesis-setting as a lens into big data. It involves a collaboration between humans and machines across the full spectrum of analytical and synthetical thinking.

What follows is a summary of that exploration and what we’ve learned to this point.

Read more »

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Human-Guided Sentiment Analysis: Beyond the Cold Hard Stats

November 4th, 2013 & Filed under Industry Analysis

Call me sentimental, but perhaps some of you, too, are starting to miss the human side of sentiment analysis.
measurement

Machine-based statistical analysis is not the entirety of sentiment analysis – or at least it shouldn’t be. There is still an important role for humans to play in that process. In addition there are opportunities for other tools to assist humans in the process, working in complementary ways with statistical-based sentiment analysis tools. Read more »

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User Modeling for Personalized Content Services

August 27th, 2013 & Filed under Use Cases

usermodel

Developers have long created software that customers use directly. But now, we’re creating solutions that incorporate internal representations of end-users and adapt to individual needs.

In this post, we’re going to introduce you to the most important component in your solution stack, the user model, explain why it’s so important, and show you how to incorporate user modeling into your solution.

Read more »

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Confessions of a Twitter Bot

July 24th, 2013 & Filed under Industry Analysis

Bots have a bad reputation. Whether they’re sinister botnets, carrying out coordinated attacks, or annoying spambots, polluting our digital universe with crappy auto-generated content, bots are a much maligned bunch.

You might ask, if bots are bad and a huge portion of Twitter activity is already generated by bots, Why is Primal creating another one?

We believe that intelligent, well-intentioned bots can add a lot of value.

If we build a bot that truly understands you as an individual and can do useful work on your behalf, it might be a welcome addition to the social scene.

In this post, we’ll share some observations and insights into the question, Can a Twitter bot do good?
Read more »

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Adding Metrics to Spray

July 12th, 2013 & Filed under Developers

We’re using Spray for some products here at Primal. Spray is a really neat library, but it’s missing the ability to gather runtime metrics, and while you can instrument your app any way you’d like, we want to do things the Spray way.

Along with our upcoming Agent framework, which implements a pretty cool inter-actor protocol, we have other services that will be hosted in Spray. The guys that figure out whether or not people like our features, and the other guys that figure out how well they’re working, want to know what’s happening, and the guys that code it don’t want that stuff interfering too much with the way that they write their code.

In this post we’ll have a look at how we’re integrating the Coda Hale Metrics library with Spray. Eventually we’ll be making a pull request to the Spray project to integrate this thing for real.

Read more »

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How to Tell If Your Recommender Will Fail (Before You Spend All That Money On It)

July 10th, 2013 & Filed under Industry Analysis

Awhile back, we started exploring how individual interest graphs, powered by Primal’s data service, can be used to improve the performance of recommendation engines.

recommender-fail

Our surprising conclusion: Marketers and technology buyers are sold on the promise of personalized recommendations. Unfortunately, they don’t know how to tell recommenders apart, even when they’re built on radically different technical approaches. And the results are mixed, at best. End users are left frustrated, wondering when this promise of personalized recommendations will actually be delivered.

In this post, we’re going to show you how to ask the right questions of your technology provider, to make an informed choice based on business considerations, not technical jargon. We’ll highlight some of the common risks and pitfalls, and conclude with a statement of what to expect from your technology provider.  Read more »

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Content Assistants for Messaging and Social Media

June 26th, 2013 & Filed under Use Cases

Small conversational data such as tweets or text messages are a goldmine of individual interests. Millions of people everyday tweet about their favourite food, send a Kik or Facebook message about a recent TV episode, or take a photo on Instagram while attending a sporting event or concert.

However if you’re trying to recommend content or promote offers within a conversation, the ability to determine a user’s interests from these small data inputs is a huge challenge.

John Koestier in Venture Beat writes:

…tweets are difficult to register commercial intent…

If I tweet about my wife’s illness, are you going to target me with a random medicine? Or if you tweet about a great dinner you’re just about to eat, will you really be receptive to ads about a Greek restaurant just down the road?

In this post, we’ll show you an elegant solution for content recommendations, applied in messaging and social media platforms.
Read more »

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