Cloud Security in 2018: The Data Behind Brand Storytelling

Cloud Security in 2018: The Data Behind Brand Storytelling

The data behind cloud security and which vendors from the CASB Magic Quadrant 2018 report are owning the narrative.

By: Michael Brito

Category: Social Data & Analytics

We just finished up a media and influencer analysis of the cloud security market as a part of a data series we are doing at Zeno. As I was mining the data to see which media outlets were leading the coverage in 2018, I started thinking about the security vendors in the space to better understand their overall contribution to the cloud security narrative.

I could have taken the easy way out with a basic share of conversation analysis of the top security vendors mentioned in the Gartner CASB Magic Quadrant 2018 report (see below), cross-reference that list with media mentions and created a fancy pie chart with bolded percentages. But that would have been too easy and not very valuable. Besides, share of conversation is a reflection on good or bad media relations among other factors–in my opinion. It also doesn’t represent any focused effort to building brand relevance in the space.

CASB Magic Quadrant 2018

Instead, I wanted to look at the data through the lens of owned media since all brands have 100% complete control over what they publish on the internet. And this is the most powerful element of brand storytelling–again, my opinion. Owned content has a shelf life of pretty much, forever. It also allows brands to own their narrative and help fill in the gaps when the media doesn’t tell the larger story.

The data below represents the total pieces of long-form content published in 2018 on each of the vendor websites that organically appeared in the data set, without any filtering. This included blogs, newsrooms, forums, white papers, eBooks, case studies, you name it. Content that doesn’t mention cloud security or related keywords (CASB, web application firewalls, etc.) and the CASB Magic Quadrant 2018 report are not included in the below data set.

I cross referenced the total articles published on each of the vendor websites with total interactions. In this case, an interaction is a social action (like, comment, share, retweet of the content), comments in forums like Reddit and 3rd party inbound links (which is a critical component of achieving high rankings in the Google search results).

Additionally, what you see here are some pretty large Fortune 500 companies and a few smaller challenger brands. And, sadly some vendors mentioned in the Quadrant aren’t publishing owned content at all, or if they are, it’s not very engaging or being shared on the social web.

So what does this all mean? Well, a lot. But I’ll try to sum up my thoughts quickly:

  1. Create a narrative. A universal truth, a story. One that is different than the others. Rally behind it, get your employees behind it. Make sure the media and analyst community are aware. If done right, your competitors will certainly be.
  2. Distribution. Put some paid media behind your long-form content. Use paid search, paid social and test content distribution platforms like Taboola. Optimize your content for organic search. Unleash employees and executives to be brand storytellers. Use platforms like Dynamic Signal to fuel the employee-driven content engine.
  3. Be agile. Listen to real-time conversations, in  … well, real-time. Monitor the media, influencers, your customers, prospects, competitors and be prepared to engage quickly. This means having an analyst, content person, creative, media buyer, and of course, a platform (I personally ❤️ Brandwatch). Essentially, build a newsroom. Easier said than done but it’s a great goal to aspire to.
  4. Data. The above is just one data point. It’s directional and further analysis should be included. Look at the media, your coverage, your audience (this should be your first step), influencers, web analytics, what’s converting, driving leads, engagement. All of that and more. Heck, even primary research is even good in some cases.

Be on the lookout for more data analysis in the near future.

In the meantime, for high-level media analysis on topics like artificial intelligence, blockchain, and digital transformation, check this resource for some great insights, Which Media Influenced the Technology Narrative in 2018?

Or, if you’re like me and are intrigued with audience intelligence, you can mosey on over to this post I wrote a while back, The Audience Behind Digital Transformation.

Enjoy and hit me back on Twitter to discuss, criticize, talk sports, hip hop, 90’s R&B or whatever.

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