Archive for the ‘Analytics’ Category

You’re Just a Number to Me: What Advertisers Actually See About You

There’s a whole lot of hoopla when it comes to what Web advertisers see about the people that respond to their ads.  Just to dispel a myth the fact is most Web advertisers don’t care much about you as a person.  They care very much about you as a demographic.  There’s no profit in knowing what one person will do, but there are millions on the line to understand what masses of people will do.

Below is a snippet of what I receive from Facebook about the people that respond to my ads.  Please note that this is very useful information, but it’s not exactly something that says much about any one person.

Demographic Bucket 1 Bucket 2 % of Impressions % of Clickers CTR
country US   100.00% 100.00% 0.05%
gender_age F 18-24 16.61% 7.91% 0.03%
gender_age F 25-34 9.35% 10.79% 0.06%
gender_age F 35-44 8.72% 11.22% 0.07%
gender_age F 45-54 4.18% 6.52% 0.08%
gender_age M 18-24 26.36% 17.20% 0.03%
gender_age M 25-34 17.15% 16.56% 0.05%
gender_age M 35-44 12.90% 20.09% 0.08%
gender_age M 45-54 4.73% 9.72% 0.11%
region Unknown   6.80% 7.32% 0.05%
region us Alabama 1.02% 1.31% 0.07%
region us Alaska 0.18% 0.00% 0.00%
region us Arizona 1.31% 1.86% 0.07%
region us Arkansas 0.71% 0.77% 0.05%
region us California 8.70% 7.76% 0.05%
region us Colorado 1.27% 1.31% 0.05%
region us Connecticut 1.31% 0.87% 0.03%
region us Delaware 0.19% 0.00% 0.00%
region us District of Columbia 1.06% 0.66% 0.03%
region us Florida 5.15% 5.90% 0.06%
region us Georgia 3.41% 2.84% 0.04%
region us Hawaii 0.31% 0.00% 0.00%
region us Idaho 0.31% 0.00% 0.00%
region us Illinois 4.89% 4.37% 0.05%
region us Indiana 2.07% 2.08% 0.05%
region us Iowa 0.78% 0.55% 0.04%
region us Kansas 1.15% 1.31% 0.06%
region us Kentucky 1.29% 1.86% 0.07%
region us Louisiana 0.94% 0.87% 0.05%
region us Maine 0.53% 0.66% 0.06%
region us Maryland 1.84% 0.66% 0.02%
region us Massachusetts 2.68% 1.86% 0.04%
region us Michigan 4.02% 4.15% 0.05%
region us Minnesota 2.03% 1.42% 0.04%
region us Mississippi 0.51% 0.77% 0.08%
region us Missouri 2.22% 2.30% 0.05%
region us Montana 0.18% 0.00% 0.00%
region us Nebraska 0.60% 0.00% 0.00%
region us Nevada 0.47% 0.66% 0.07%
region us New Hampshire 0.51% 0.00% 0.00%
region us New Jersey 2.91% 3.17% 0.06%
region us New Mexico 0.27% 0.00% 0.00%
region us New York 6.86% 6.89% 0.05%
region us North Carolina 2.66% 3.83% 0.07%
region us North Dakota 0.23% 0.00% 0.00%
region us Ohio 3.76% 4.15% 0.06%
region us Oklahoma 0.88% 1.09% 0.06%
region us Oregon 1.15% 0.87% 0.04%
region us Pennsylvania 4.63% 5.90% 0.06%
region us Rhode Island 0.49% 0.00% 0.00%
region us South Carolina 1.19% 2.19% 0.09%
region us South Dakota 0.30% 0.00% 0.00%
region us Tennessee 1.98% 3.06% 0.08%
region us Texas 5.70% 6.01% 0.05%
region us Utah 0.80% 0.98% 0.06%
region us Vermont 0.25% 0.66% 0.13%
region us Virginia 2.63% 2.51% 0.05%
region us Washington 2.12% 1.75% 0.04%
region us West Virginia 0.44% 0.55% 0.06%
region us Wisconsin 2.17% 2.30% 0.05%
region us Wyoming 0.15% 0.00% 0.00%

I Don’t See Me: Use Incognito Mode When Viewing Your Own Web Site

One of the problems a web administrator runs into when they try to track visitors using web analytics is that they end up skewing the numbers due to their own visits to their site.  You would like to think  that you could somehow never visit your site, but that is simply not feasible.

One method I use to try to avoid this corruption to my stats is to use Google Chrome browser in Incognito mode.  By doing this I dramatically reduce the traces of my own visits, and if their is some contamination I can simply remove any records that track back to the Chrome browser.  So few people use Chrome that removing them from my overall reports doesn’t alter the results by much.