While Mark Twain was talking about his own death, there is another reported death that I am thinking about. Back in January 2009 I included a quote about banner ads being the next direct mail. I mean no offense to direct mail but the implication was that the value of a banner ad was diminishing. The belief was that banner ads were being replaced by social media, which is a disruptive technology much in the same way that e-mail marketing has replaced direct mail in many industries and situations. Direct mail still is a valuable channel but it is being used more selectively than it once was.
Well reports of the death of the banner ad might be premature. A recent study by eMarketer predicts that banner ad spending in 2010 will be up 8.2%.
| US Online Ad Spend Growth by Format (% Change) |
| Format |
2009 |
2010 |
2011 |
2012 |
2013 |
2014 |
| Video |
38.6% |
48.1 |
42.7 |
43.4 |
34.7 |
33.0 |
| Search |
1.4 |
15.7
|
8.6
|
10.1
|
5.9
|
7.0
|
| Banner ads |
3.8
|
8.2
|
6.7
|
11.8
|
7.7
|
4.8
|
| Lead generation |
-13.8 |
5.5 |
6.6 |
8.4 |
7.0 |
|
| Sponsorships |
-1.0 |
4.9 |
5.0 |
5.6 |
5.9 |
6.3 |
| Rich Media |
-8.3
|
4.7
|
3.5
|
4.7
|
3.0
|
3.1
|
| Email |
-27.9
|
-5.4
|
4.4
|
7.9
|
2.4
|
3.6
|
| Classifieds |
-29.0 |
-13.1 |
-8.3 |
3.6 |
2.2 |
3.0 |
| Total |
-3.4 |
10.8 |
8.4 |
12.1 |
8.9 |
9.3 |
| Source: eMarketer, May 2010 |
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I worked with a Greek statistician who would always try to correct my pronunciation of the Greek letter chi. I would say “kai” and he would say something similar to “he”. It was like he and key combined. I can’t do it justice so I continued to say kai.
Regardless of how you pronounce it, the chi square test can be very useful. In fact, one of my business school classes was spent discussing the uses and assumptions of the chi square test. I won’t try to summarize a semester’s worth of material into a blog post. Rather, I wanted to point out that chi square tests are used for categorical data and the only “gotcha” is that you have to use the actual counts (rather than percentages). It is sensitive to cell counts and requires that there be at least 5 observations per cell.
The chi square test is a powerful statistical tool as it can tell you if there are significant differences between categories and it is the foundation for CHAID. CHAID is an abbreviation for CHi-square Automated Interaction Detector. It is one of the many segmentation techniques used in marketing and, if you plot out the tree that results from CHAID, it is a wonderfully visual way to see differences within your customers and/or prospects. For CHAID you will need to define a dependent variable and undergo EDA (exploratory data analysis) similar to a modeling project.
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I was preparing for a meeting with a software company and found myself analyzing their industry using Porter’s five forces. This is a framework for understanding the dynamics within an industry. Also, the rigor of analyzing an industry makes you stop and first define the industry. It sounds simple but can often be complex. If there are multiple audiences or multiple products, you might want to do the analysis on each. Next, it requires that you consider vendors, customers, and competitors. In my first semester at business school, I must have done this exercise at least once a week.
Years later I could not believe that I was still using this framework but I found it useful in preparing for my meetings. One of the questions in the software business is who owns the customer? If the software is sold via a value added reseller (VAR), then they may own the relationship. Knowledge is power and the VARs may have all the power. The VAR may know when the customer is likely to want an upgrade, add new seats or licenses, or purchase additional software for related business processes.
If you are starting to work on a new industry or a new project, consider using the Porter five forces framework. It can help you get to the heart of the strategic challenges within an industry.
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