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Large Google Ads or PPC campaigns can be fun and lucrative. However, it can also be torture, to administer them. It would be helpful, if you were to summarize understanding from large amounts of data. In this way, you can take advantage of the information collected and make better use of it.
The first, what you need to recognize, is, which data is important and useful and which is a wild goose hunt. You spend money and time doing things, that do not achieve a better ROI. Every company, that does not use data, to make decisions, shows a large deficit. To precisely track down the performance and recognize the influence, that each of your endeavors has on the market.
When there isn't a lot of data available in campaigns, It is difficult, Gaining meaningful insights from such small data. Mit Points Moving Average (PMA) you can predict trends with just a few data.
By estimating the MA, the influences of an irregular, short-term fluctuations in value over a certain period of time.
The three-point moving average is the easiest to calculate and the fastest moving average, but it does not completely smooth the trendline, making it difficult to make tiny guesses.
With PPC we collect historical data, to describe and question the average with more points. This can get more complicated with larger campaigns.
Earnings of moving average points