Your Guide to Using Data Forecasting for SEO
Patrick Stox from Ahrefs has published a comprehensive guide to titled ‘How to Use Data Forecasting for SEO’.
This comprehensive guide covers the following:
- Why forecasting is important
- Why use third-party data in forecasting?
- Forecasting with SEO data: use cases
- Adjusting script settings & details.
Stox says, “SEO forecasting lets you use data to make predictions, such as future traffic levels and the value of that traffic. It assumes that past patterns are likely to continue and can help you allocate resources, prioritize SEO efforts, and make adjustments before it’s too late.
The reasons why you’d want to do this vary depending on your situation.
If you work in enterprise SEO, you’ll usually have to make projections of how much you’ll grow SEO and increase revenue once or twice a year. The company will also set goals for you and your team. If there’s a discrepancy between your estimates and company goals, you can argue for more resources. Say you project an uplift of 15% year over year (YoY) at the current effort and resource levels, but your target is 25%. Your expected impact doesn’t align with expectations. In this case, you can push for a lower target or more resources to meet the company’s goal”.
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