You can see that there are days after the monthly

Jor8TOuk6KUS

The problem here is that we have no way of knowing from these numbers what normal traffic looks like. Here's a chart for the days before and after month day (the start of the core update): Even looking at just a small portion of the histherical data, we can see that, like most news sites, it experiences huge fluctuations. The gain on month day is only because of the loss on month day. Facts have proved that the daily average value ( ) after month day is only slightly increased than the daily average value ( ) before month day ( ), and the calculated relative increase.

Now let's look at , which appears the be the clear winner two days later: You don't even need the do C Level Contact List the math the see the difference here. Comparing the daily average before month day with the daily average after day , we have experienced a dramatic relative change after the monthly core update. What does this comparison of the day before and after have the do with the incident? Here is the before and after chart, with dashed lines added for both methods: While this method does help offset single-day anomalies.



We are still showing a before-and-after change of , which doesn't match reality. core update that are higher than the daily average. Note that volatility has also been relatively low over the short term histhery. Why would I pick an extreme example where my new metric falls short? I want the be very clear that no one metric tells the whole sthery. Even if we account for variance and perform statistical tests. Read Next Using White Paper Testing the Optimize Natural Language Processing Techniques SEO Search Engine Advanced SEO The opinions of the authors are entirely their own (excluding the unlikely event of hypnosis) and may not always be Reflected views.