Opinion: With a text-based analytics mindset, you can free yourself from the optimization hamster wheel
Sigmund Freud once wrote, “Dreams are the royal road to the unconscious.” If he were alive today, he might say the same of our social media posts.
Through language, we broadcast to the world what we love, what we hate, what we wish for, what’s bothering us—even why we buy certain products and why we don’t.
To a social media marketer, all of this noise should be a virtual goldmine.
Yet we still see brands and agencies creating social content based on a flimsy hunch about what their dream audience might want or might feel. Sure, they may tap into market research, analyze past campaign performance data and pay attention to industry trends, but most marketers tend to use these “insights” to justify chasing after some generic target persona or demographic.
To me, the whole process is backwards. Instead of trying to woo people who you think might want to buy your product, why not go out and find every person who has clearly expressed a need for what you’re selling?
Every second of every day, your most valuable future customers are dropping clues about how they want to be marketed to. The key is learning how to tune in and act on it. This practice, in a nutshell, is the basis of an emerging social media marketing discipline called advanced text-based analytics.
The real challenge is learning how to recognize patterns in the data, draw insights from it and use those insights to create the kinds of content that will get people to think, do or say what you want them to.
So how do you get started? Here are two ways text analytics can help amp up your social listening game, improve your content strategy and better inform every social campaign.
Text analytics helps you dial it back to the basics
I recently asked a room full of social media marketers what they thought their job was. When I asked if it was to “convince your target audience to buy your product,” nearly every hand shot up.
Au contraire: Your job isn’t to try to convince your “dream customer” to believe in something they don’t believe in or want something they don’t need. Your job is to be an un–marketer: Find people who have the problem that your product solves, connect them with the product and show them how it solves their problem.
The beauty of integrating some form of text-based analytics into your social strategy is that it allows you to do just that.
For example: One of my clients sells anti-dandruff shampoo. It smells good and it does the job. The problem? In order to come up with a social content framework that would resonate with people who suffered from dandruff, we needed to understand how people truly felt about their scalp issues.
So we listened to what people were saying on Go to the full article.