{"id":2621,"date":"2024-07-22T13:35:04","date_gmt":"2024-07-22T13:35:04","guid":{"rendered":"https:\/\/ewebtoolz.com\/blog\/can-you-spot-google-updates-with-xmr-charts\/"},"modified":"2024-07-22T13:35:04","modified_gmt":"2024-07-22T13:35:04","slug":"can-you-spot-google-updates-with-xmr-charts","status":"publish","type":"post","link":"https:\/\/ewebtoolz.com\/blog\/can-you-spot-google-updates-with-xmr-charts\/","title":{"rendered":"Can You Spot Google Updates with XmR Charts?"},"content":{"rendered":"


\n<\/p>\n

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Website traffic data normally looks like\u00a0this:<\/p>\n

\"\"<\/figure>\n

Ups and downs, peaks and troughs.<\/p>\n

If we\u2019re doing our job properly, we generally expect traffic to trend upwards over time, but in any given month, it\u2019s difficult to say whether a peak or a trough is worth paying attention to.<\/p>\n

Did we do something great and trigger a new phase of growth? Did we benefit from a new Google update? Or is it just normal variation, part of the natural ebb and flow of people finding our website?<\/p>\n

Or suppose you make a change to your content process\u2014you pruned and redirected a bunch of old content\u2014and then traffic dropped the next month. Was that drop caused <\/em>by the change, or was it just a coincidence?<\/p>\n

I\u2019ve been experimenting with a simple statistical tool designed to help answer these questions: XmR charts<\/strong>, also known as process control charts.<\/p>\n