How to Use Python to Forecast Demand, Traffic, And More For SEO

Over the years, you\’ve probably done a lot of SEO work on the HVAC company that you work for. Given enough time, you will, more than likely, have to deliver a forecast to the higher ups.

But what exactly is a forecast you might ask?

SEO forecasting allows you to use data to make predictions, including future traffic levels and the value of that traffic.

In a column on Search Engine Journal, Andreas Voniatis will show us how to get data-driven answers about some potential trends by using Python.

The article will talk about some of the following:

• Pull and plot your data.
• Use automated methods to estimate the best fit model parameters.
• Apply the Augmented Dickey-Fuller method (ADF) to statistically test a time series.
• And more!

Check out the full article here!