The success of an AdWords campaign should not be measured by cost per click, CTR, impression share, or a number of other available data. The most important data I use are the conversion rate and the total number of conversions. These are actually the results from which my client - the advertiser lives, and if his coffers are full, mine is not empty either. Recently, colleague Jason Tabeling published an article describing the interrelationship between ad position and conversion rate from that position.
I summarized the most important in this graph: Relationship UK Phone Number Data between conversion rate and ad position Relationship between conversion rate and ad position It can be seen that the highest degree of conversion (the same) ad had when it was displayed in the first position and with each lower position, conversion rate decreases so that for position 4 it would be 'only' around Since the key to the success of a campaign in Internet marketing is based on measurements and searching for the optimum, I "missed" that data through our mathematical tools.
I used the Method of Least Squares to find the curve that passes through the measured points with the least deviation. If approximated linearly, the direction matches the data Linear correlation of conversion rate by position The best correlation with the data published by colleague Jason Tabeling is the curve: Best match of conversion rate and position Best match of conversion rate and position Formula of that curve is published with the graph match of I found it interesting to compare.
