Your Marketing Success May Hinge on Gray Social Media

business2community.com

In the last year, a lot has been written about “dark social media” — the vast majority of content sharing you’ll never see because it’s occurring through email, direct messages, texting, and other private communication channels.

In a recent post, I pointed to research that shows that as much as 70 percent of social sharing is unknown to us. And perhaps we only know 2 percent of our non-lurking audience!

This presents a real problem for marketers. Getting content to move through a loyal audience is critical to business success. A study commissioned by Google shows that your most-loyal audience is more than 250 percent more likely to transmit your content and 200 percent more likely to make purchases from your company. These engaged customers don’t just buy your products again and again, but encourage others to do it, too.

In my upcoming book, The Content Code, I describe this elite group as the Alpha Audience – fervent supporters, and a rare breed we can rely on for loyalty, ignition, and most important, action. We urgently need to find more of those people for our businesses, but if most of this powerful audience lurks in the shadows, how do we know they’re there?

Gray social media

I would like to propose today that between dark social media and light social media, there is a third category that is rich in undiscovered marketing opportunity — Gray Social Media. These are the small, still voices who are clearly telling us they’re there, but we can’t detect their quiet signals and capture the data.

This idea was prompted through a conversation I had with Avtar Ram Singh, a digital marketing manager based in Singapore and one of the keenest minds I have come across in this space. He told this story:

After working on our company blog for a while, I found great value in diving into Google Analytics to see where the traffic was coming from.

I found a little app link in there that I hadn’t seen before and noticed that every week, this place would send us between 20-50 visits. Not a lot, but they were consistently coming from this source.

I found out that this app was an internal team communication tool. So I knew there was some group out there sharing links to my blog in an environment behind a firewall. This is “dark social media” … but there was also a clue for me to know they were out there.

I did some sleuthing to check if any agencies I knew in the city used this tool. I came up empty until after several weeks, one of them said through a LinkedIn message that they used it.

It turned out this was a group of marketers who are my exact target audience — loving my content! I would have never known unless I had seen this small signal and dug in to investigate. Now that I knew who they were, I was able to form a business relationship with them.

Avtar and I traded ideas about the many other small signals out there that simply aren’t picked up by the analytics programs which are optimized to give us broad trends, patterns, and large-scale shifts in sentiment. Perhaps much of our dark social media really isn’t that dark because we’re just not looking for their signals, or we’re focused in the wrong places. Innovation and insight don’t come from Big Data. They come from Little Data.

The small signals before us

Is it possible that you could somehow organize “small signal sleuthing” to discover a whole new category of passionate customers? Consider:

• Somebody I didn’t know left me an endorsement for “digital marketing” on LinkedIn. This might be the one and only time I hear from this person, their lone small signal to me that they’re a fan. What if I could determine that in fact this was no idle act — this person only gives out two endorsements per year. Wouldn’t that be meaningful to know?
• What if a woman among your followers only tweets a few times a month. Her level of tweeting is so obscure that she is invisible on the social analytics radar. But what if I could determine that 25 percent of her tweets were about my company? Isn’t that a “gray signal” that this person cares about my content in an extraordinary way?
• What if you knew that there is a person who ONLY comments on your blog? That means something, even if they only comment twice a year.

Chances are, these “gray” messages are not weak signals at all. These may be the equivalent of the vast, shy, silent majority virtually screaming their love for us.

If we had a way to scale this process and collect this important gray matter, what would I do with the information? Is there a way to connect the dots and form a more meaningful relationship with these important individuals? I’m convinced these signals from our quiet, yet essential, Gray Social Media audience are beaming to us all the time, but we’re missing them because there’s no easy process to track, quantify, and develop these subtle leads.

How do we measure the relative importance gray interactions?

Certainly CRM and automated marketing software are evolving in a way that can help us begin to discover these quiet voices, but there are a lot of conditions. A person would have to show themselves as a subscriber to our blog or newsletter before we can set an algorithmic “magnet” that will help us collect other small signals that can bring dark fans into the light.

Likewise, we can possibly communicate with people who visit our sites even when they’re “dark” through retargeted ads.

But even then, do we know their names? Is there an opportunity for real relationship-building with an IP address? I think a lot of people in the gray space are telling us they’re there. And I’m not sure I’ve seen software that can detect relative intensity or significance of an interaction. For example, the person who mostly tweets about me, but only tweets a few times a month, would be chalked up somewhere merely as an insignificant “mention,” not as an extraordinary sign of commitment from a shy person.

Quiet is not irrelevant!

This might be a business opportunity for somebody out there. Or, are there other ways to detect these folks you’re already using? This is a new idea, so let me hear from you. Have you thought about focusing on the very small signals of the Gray Social Media? Is this the future of social media metrics?