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!
