Tag Archives: Social analytics

Angry Tweeter? Social media is so much more….

Let’s talk social – internet data is abundant and growing every single day.  As marketers, we have got to find a way to take advantage of it.  Social NoiseBut the reality is there is a LOT of information just waiting for us to take advantage of.  With that said there is a heck of a lot of noise in that information and we need to find an effective and efficient way to find the signal through the noise.

As a marketer I always looked at social data as the typical things we think about social information – twitter, facebook, pinterest, Instagram etc… traditional data sourcesMany marketers like myself view social media as about engaging the angry tweeter…..getting to that person who loves/hates my products to address their needs.   This approach is most often used for demand generation or customer service. These traditional data sources are best used for that type of approach – engagement.

Most of the marketers I speak to want to use the traditional data sources for:

  • Metrics – how many followers or likes to I have
  • Engagement – how do I market to the angry tweeter using social

 

While these two items are important and those data sources helpful, they are not the end all be all!  There is a third way we can look to social data and it will expand your ability to TRULY understand your market and audience:

  • Listening – how do I understand broad target segments to develop a communication strategy, develop the right messaging?

It is this THIRD area we are starting to see take off.  Listening is about finding the right data at scale and automatically classifying it to find patterns.

The ability to listen and to hear what people are saying means that marketers can make customer driven decisions leading to increase revenue, decrease cost and mitigate risk.  But if you are going to do TRUE listening to customer sentiment, you are going to have to expand our horizons beyond the traditional data sources and in some cases ignore the traditional data sources as they are often full of junk.

Social Data has moved beyond the realm of  just the traditional channels.traditional plus non traditional  We need to consider information on the internet as a source – this will include the traditional channels – facebook, twitter, pinterest etc….But it will also include things like news stories  – Market Watch, Thomson Reuters, AP etc.  It delves in to the areas of BLOGS – WordPress, WIX, MEDIUM etc…It will also include reviews from forums and review sites…Think about the wealth of information that can be found on the Amazon reviews alone…..And seriously consider REDDIT.  (I was blown away by the richness of the data on REDDIT!! – Follow up blog post on this to come!)

If we have the foresight to expand our thinking about social data to be “All internet information” ….social media can guide your overall marketing strategy, feed your messaging, enable you to identify broad target segments for your campaigns.   To do this we need to think beyond just the typical sources of information to help expand our use case scenarios…..

How to plan the BEST office party!

So, it is that time of year again….the holiday season from Thanksgiving (in the US), to Chanukah, Christmas, Festivus and New Years.  It is during this season when many companies decide to throw an office party.  If you are tasked with finding the “perfect” location to host your party, you know you have your hands full in pleasing everyone…

There is a way you can hedge your bets and find the “perfect” location which will please most people. How about using social media and your social network to understand peoples opinions and sentiment about certain locations.

Check out the steps below to get started!!!

Click here to register for a free trial of Watson Analytics for Social Media.

office-party

 

Would you have married your spouse if you only knew his or her address?

Marketers claim to know their customers because they have captured demographic and historical transaction information about them but would you have married your spouse based on age, height, address and the fact that they bought shoes once?  I think not.  Why should marketers think this enough to truly address the needs of today’s customers?

Many marketers are doing a very good job an incorporating traditional data critical to being able to target marketing efforts.

Data such as:

  • Self-declared demographic information
  • Marketing inquiries
  • Sales leads
  • Orders, payment history

This information is a great place to start.  There is no doubt that applying advanced analytics help marketers find patterns and trends while also predicting what is likely to happen next.  

Think about being on your first date with you spouse.  The conversation starts with the basics:

First Date

  • Where are you from?
  • Where do you live now?
  • Where did you study?

But quickly moves to:

  • What is your opinion of the President?
  • What do you do for fun?
  • What do you really dislike?

Now think about applying this in a business context.  As a marketer, I would like nothing more than to put an offer in front of customers and prospects that would not only speak to their business need but would also speak to personal likes.  How can you do this?

digital thumb print

Every interaction is an opportunity to get to know your buyers better.

Traditional interaction data from a marketing automation system such as Unica, Eloqua, Marketo or Neolane is a valuable source of information about  buyers’ behavior.  By capturing all interactions, regardless of channel, allows marketing organizations to apply predictive models to predict which customers are likely to respond to marketing offers via which channel and how frequently.    Using predictive models as part of a broader  customer analytics initiative helps marketing organizations identify which buyers to target and personalize offers for cross and up-sell opportunities

Great, we now know which offers my buyers will likely respond to and how frequently!  Now, go back to my first example – the date.  Getting to know your buyers personal preferences allows you to gain a deeper understanding of customer attitudes, preferences and opinions to make them part of the decision making process. Think about collecting customer opinions, attitudes and interest via surveys or data collection.  Use the interaction opportunity to capture a hobby or other personal activity.  Then apply this in your marketing activities.  If your buyer likes golf, find a way to incorporate it into your outreach (e.g. my marketing team has used direct mail/dimensional mailers giving away a free driver!).  

Social Media is another data source which can provide tremendous insight into customer opinions, both positive and negative.  Apply social media analytics to get the real opinion of your products to ultimately engage brand advocates and detractors in a conversation. CI Social media analytics allows organizations to capture consumer data from social media to understand attitudes, opinions and trends.

They key here is not to look at each of the pieces of data as stand alone pieces of information.  It is about combining them to get a “thumb print” which identifies the uniqueness of an individual.

Please feel free to connect with me on Twitter to discuss further @BrendanRGrady