which factor required adjustments
Even so, and knowing this, it is an indicator that I don't really use, because I don't find it useful with the current operation of Google Ads. The obsession with quality level A few years ago in Google Ads everything revolved around quality level, there was an obsession with this topic, it was a metric that all of us who ran campaigns were aware of. If you had a good level of quality in your campaign, it was assumed that it was well organized. Given the importance of this indicator in the management of Google Ads campaigns, many people ignored other more significant indicators such as conversions, CPA, ROI and ROAS of the account. Now these are the reasons why I think that the usefulness of this indicator has remained in the past.1 It is not an actionable indicator It does not provide Korea Phone Number Data useful information, reviewing the quality level column and seeing something like 3/10, 5/10, 7/10 has no context, it does not tell me what aspect of the account I should improve in the campaigns . I remember that before it did provide a little more information and when placing the mousse on this value, it mentionedin the campaigns, whether it was the landing of the ads or the CTR of the account. #2 Inconsistency in data. It is a defective system, it is very common to find accounts that have poor quality levels and still have a good volume of clicks, impressions, good CTR and even conversions.
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In those cases, should we worry why the quality level is not optimal, even if we are achieving good results? #3 Only available in search campaigns It is an indicator that only applies to search network campaigns, meaning that there is no way to know the quality level of Performance Max campaigns , Google Shopping, video campaigns, much less display campaigns. This is one of the clearest signs that the indicator is dead, if the Google Ads engineering team is not including this function in new types of campaigns, it is simply because for Google itself it is not a factor to take into account in optimization.
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