Gleice Kapobianco Hair Color, Body Shape, Family Members, Father, Mother, Brother, Sister, Marriage and Affairs

might be Alexa or Jupiter ratings. When dealing with less accurate measurements like that, simply increase your sample size or compare more distant extremes (Alexa rankings in the top 100 vs Alexa ranking in the 99,900-100,000 traffic rankings). More inbound links? Once again you can use open logs and look at referral entriesà or you can trust the link: command at MSNà or something less reliable like the link: command at Google (once again, just increase your sample size and/or compare more distant extremes in number of inbound links). How about profitability? This is my favorite. This is why most of us are here. I used this measurement for my Glyphius software and all of the copywriting statistical studies posted on my blog and in the Statistical Copywriting Online Home Study Course. How can you get the profitability figures for other web-sites? Are they just going to turn them over? Actually, public companies do just that. You could use something like that public data. Also, many affiliate networks give indirect profitability figures (the marketplace at Clickbank, the EPC rating on CJ are both less accurate profitability numbers). Or you could do what marketers have quietly done for decades before ecommerce and the Internet even existed. This is how Glyphius and the Statistical Copywriting course were created. It is really quite simple. Ask yourself these two questions: 1. If I was paying for advertising to a site that was profitableà would I continue to pay for that advertising month after month as long as it was profitable? 2. If I was paying for advertising to a site that wasnÆt profitableà would I continue to pay for that advertising month after month? The answer to #1 is clearly a ôyesö for a vast majority of people. The answer to #2 is clearly a ônoö for a vast majority of people. There are exceptions. Some large companies donÆt even track the profitability of their adsà so they will add some incorrect data if we use this measurement. The same thing happens in science all the time. Patients in medical studies lie or exagerate about their results (in both directions). People arenÆt completely predictable. They do things against their own self-interest sometimes. The solution? Same as with the other imperfect measurement techniquesà increase the sample size and/or compare more distant extremes. If people were 100% predictable, then we wouldnÆt need a very large sample size to look at these web-sites. So, letÆs take an example to see how this works. LetÆs

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