Marketers have a lot of data. Online, they know where you live, what you clicked on, and what page layout (among other things) is more likely is going to drive you to make a purchase. They know what you searched for, what ads you saw and how long you spent on their sites. Signs are pointing to an elevated sophistication of using that data – get ready, because with the ability to combine your activities in social media with your online behavior, targeted, personalized approaches to marketing to you could be what’s next.

Exhibit A: CMO’s want to read the tea leaves

Mark Taylor, colleague at Rosetta, recently mentioned a study from the CMO Council that highlighted some key insight as to how CMOs feel they are deficient at understanding and leveraging customer data. Some key findings:

Marketers were asked about their top three areas of focus. Among the responses cited:

* 47% want to leverage existing resources to enhance customer communications.
* 41% would like to explore new customized communications technologies.
* 39% want to move marketing investments to Internet and mobile channels.
* 33% wish to improve behavioral targeting of advertising and online marketing campaigns.
* 32% want to adopt and use CRM and sales automation applications.

Exhibit B: Online activities reveal customer emotions and behaviors

I had a conversation earlier in the week with Evan Schuman, former retail technology editor for eWEEK.com and PCMagazine and author of the retail industry blog StoreFrontBackTalk.com. Evan recently posted a provacative article about how semantic information about a user’s activities could lead to more targeted marketing activities, and I’ve had it on my mind since.

Extensive analysis of a consumer’s Web interactions has been used for years to try and target pitches more effectively. But new research suggests that…every digital comment made by consumers anywhere—in a product comment, an IM, on a social network site, in E-mail and via, exchanges with a live chat tech support person, coupled with Web traffic analysis—can be mined for hints as to emotions and other thoughts.

What it could mean

Imagine what organizations who are savvy enough to tie their CRM data to semantic, social media content left as breadcrumbs out there. Evan rightly suggests that every consumer responds differently to emotion. When you’re sad, so you seek out comfort food or buy some new music? When you’re happy do you surprise your spouse at home with a gift? Could your social media activity be somehow tied, through emotion, prior history, or simply by subject, to your purchasing or brand buying behavior?

Some examples

Consider some possibilities. I’m sure we could come up with better ones together but here’s a stab at some.

• In Twitter your posts could be mined for relevant information. Say, you have a cold and are under the weather, and you like to post about it as you are down in the dumps. Imagine a coupon for Advil Cold & Sinus showing up in your email shortly after you have a conversation about cold remedies, and a targeted ad on a news site gives you 20% off on a home humidifer.
• In Friendfeed, you show a pattern of mentions about football in blog posts and comments, and favorited Youtube videos – and your favorite team wins the next playoff game. Knowing that when you are on an emotional high you tend to make an online purchase, retailers start showing specific discounted offers pop up on eBay and Amazon related to your team. Beyond the fact that the team won, taking it to the next level targeted people whose buying behavior changes at these peaks.
• Imagine if in a Myspace posting you share the loss of a beloved pet. You start seeing ads and receiving offers for “comfort” items.

Evan responds,

What consumers receive is nothing bizarre: A pitch from Amazon or Borders or Walmart for a particular kind of product. But what they won’t likely know is that the pitch was prompted by … a MySpace posting the software thought “sounded sad.”

Technologically? This is quite do-able. Psychologically sound? If the software is done properly, yes, these predictive packages can be frighteningly accurate. But here are the big two questions: What about privacy and morality?

Sure there are many concerns about privacy, morality, and transparency. Is it going above and beyond using this type of data to target customers, or just the next logical evolution? It sure makes me think a little more about what I share on searchable outlets, but I am not so sure connecting me with the right products at the right time would be a bad thing. What do you think?

Photo credit: fenchurch via flickr