Posts tagged as:

data analysis

The Social Media Tortoise and the Hare – Part 3

by · June 26, 2013

This is the third and final post in a 3 part series which takes a deep look into the maturation of the social listening market. In Part 1, I discussed the value of balancing pushing content versus pulling data to garner insight.  I also introduced the concept of the 4 pillars of social listening: Features, Content, Accuracy and Infrastructure. In Part 2, I shared how these 4 pillars applied to the development of the listening market and how you can use this information to make decisions for your organization. Today I will share with you some questions to ask a potential social media listening partner as well as arm you with information to move your organization forward. 

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The Social Media Tortoise and the Hare – Part 2

by · June 20, 2013

The concept of social listening is an integral component of being able to produce measurable ROI from your social media strategy. In Part 1 of this 3 part series, I discussed the value of balancing pushing content versus pulling data to garner insight.  I also introduced the concept of the 4 pillars of social listening: Features, Content, Accuracy and Infrastructure. Today we will further discuss the 4 pillars and how an understanding of them will help you make decisions for your program.

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The Social Media Tortoise and the Hare – Part 1

by · June 13, 2013

The concept of social listening is not a revelation, but merely a fait accompli.  If you are able to push information somewhere, someone will eventually want to measure its effectiveness.  The business world’s bend towards the painful statement (at least to me), “Can you show me the ROI?” is as inevitable a question as the sun rising.  And while this type of thinking is often the death of new ideas (because sometime you just can’t see the ROI when culture is involved), I have to admit its importance to bringing people along in the change game.

So what is this series  all about? I thought it would be useful to take a step back and discuss the maturation of the social listening market, at least from one man’s point of view.  I am writing this series of posts to put out there one idea of how our space has developed and would love this to be a dialogue rather than simply a one-way conversation.  So here goes…please engage because if don’t learn from each other, then what they hell are we here for? 

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Want to Dominate Social Media Marketing?

by · May 24, 2013

Consumers are more active on social media than ever before, and not surprisingly, many marketers are struggling to keep up. It seems that, with an ever-evolving sea of data and technology, marketers don’t know where to start. Marketers are told what they need to do, but no one’s telling them WHY these tactics are important or HOW to execute a campaign around them. The WHY is just as important as the WHAT and WHERE.

In order to dominate, we have to remember the basics of social media marketing and management. So let’s get back to the basics:

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What You Need To Know About Big Data

by · December 12, 2012

Chances are, you’re not a data analyst for the federal government, McDonald’s, Wal-Mart, AT&T, NASA or Google. Provided my guess is right, here’s what you need to know about Big Data: Nothing. Ignore it. It won’t effect you … at least in your job.

Still, around every corner is another businesstech or social prognosticator saying that Big Data is the next big thing. Certainly, for international retailers needing to understand META trends in purchase behavior and governments (from local to Federal) around the world trying to understand infrastructure issues like transportation surface decay and crime rate fluctuations, Big Data is important. To think it isn’t would be ignorant. But for 99.9% of all professionals, especially marketers, Big Data is an infuriating waste of brain power. Don’t try to understand it or solve it or see how it applies to your business. It won’t.

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Relying On Research Or Data For The Sake Of Content?

by · January 16, 2012

There is often a major difference in data you see on blogs and websites presented as research, science or fact and actual research, science or fact. The problem is that content marketing has overcome the sensibilities of many content providers and the inbound link or catchy headline is held in higher esteem that presenting fair and accurate information that is truly helpful to the audience.

It’s the difference in producing data for content purposes and data for insight purposes.

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When is 31 flavors more than 11.5 million?

by · December 3, 2010

A while back I read a great post by web analytics master Avinash Kaushik.  He wrote a bit about data geeks and the mountains of information they routinely collect and build.  Information about traffic source overlain with pageviews,  special segmentation, abandonment rates and exit pages, ad nauseam.   Great piles of information that are watched daily and reported weekly.  It’s the stuff the big-wigs asked for once it became known that the web analytics package could surface the goods. All the company needs in order to get ahead is a little more information …

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