The same data looks like below when I consider different ad positions Quality Score vs. Position Note that at constant CTR there is a negative relationship between average position and account Quality Score as the regression shifts upward as position increases. This makes sense - if the ad in position 3 has the same click-through rate as the ad in position 3, then the ad in position 3 may be more relevant and therefore get a higher CTR. As before, there is a logarithmic relationship between improvement and diminishing returns; there will be a greater improvement from improvement to than from improvement to or more.
The chart above shows that returns decrease more rapidly chile whatsapp list the higher the position. So increasing the click-through rate for the third-place ad from 100 to 100 will increase approx. while the same improvement for the 3rd-place ad will only increase approx. For the first four positions the main indicator is that the correlation between the two variables is approx. At lower positions and below this correlation decreases to approximately 100% which suggests that other issues such as landing page relevance or poor ad relevance may have a greater impact on its poorer relevance.
I don't see any strong direct relationship between average position squared and average position squared indicating no correlation which means you can't get a higher quality score just by raising your keyword bid. Quality Score and Position Highlights The higher the CTR, the higher the CTR, although CTR is affected by Ad Rank, which is a by-product of Ad Rank. There are diminishing returns when it comes to increasing click-through rates and the returns diminish faster the higher the ad ranks. is the leading metric among the top four ad positions.