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Beginning of this article - people do not want to watch the same advertisement over and over again or the message used in the creation no longer properly reaches the recipient even though it was like that before. How to recognize itThe Meta system itself is able to indicate that the advertising material is tired - using a notification that appears next to the Facebook ad. However, you should not believe every recommendation you receive. It is worth checking for yourself whether this is really the case and the creation started generating worse results than before.


Analysis of the "frequency" column. This is the estimated number of times a given ad has been viewed by accounts on the platform. It tells us how many times someone viewed a given content within a selected time window. Typically, the Middle East Mobile Number List correct frequency from the last  days is a maximum of .-. in the context of targeting new recipients, and .- to people who have previously had contact with the company remarketing. Controlling the costs and results of a given campaign. Using the charts available inside the Meta Ads system, you can see how the cost per result clicksadding to cartpurchase of the selected creation has changed over the days. It is worth analyzing such data on a ,  and -day basis. creation-fatigue Figure . Costresult analysis chart in Meta Ads Combining frequency and costresult columns. The above two points only have significant application when compared simultaneously.





To draw significant conclusions, you need to look and look for correlations. If the frequency and costs increase, you may come to the conclusion that the creative is actually displayed too often to users and they are no longer interested in the content. Comparing specific time periods. Worse advertising results are not always the result of advertising creative fatigue. Seasonality is also important, especially in industries characterized by it. Additionally, during periods of increased intensity of activities, such as Black Week or Christmas. Therefore, when comparing the above-mentioned columns, it is good to compare them with the same period one ago.

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