Automated forecasting is something that has historically been difficult for SEOs because of the level of complexity + potentially disruptive factors like unpredictable algorithmic shifts & real world factors like Covid-19.
You also want to be able to be transparent about how much your SEO activities will contribute towards any growth outside of the current trajectory.
However that doesn’t mean it’s not worth trying and reviewing in a quarterly basis. There’s key technologies we can utilise that use time series data based on additive models like Facebook’s Phophet https://lnkd.in/dZnJqn_C
It will require a little bit of Python knowledge but here’s a few resources and templates about how to automate everything from rankings, traffic and revenue:
- Ahrefs & Patrick Stox – How to Use Data Forecasting for SEO
- JR Oakes – ForecastGA
- Andreas Voniatis – How to Use Python to Forecast Demand, Traffic & More for SEO
- Google Cloud – Single time-series forecasting from Google Analytics data
- Greg Bernhardt – Use Python and Google Trends to Forecast Your Top GSC Keywords
If anyone else has any other innovative ways of forecasting drop a comment 🕺🏻