Data Analytics for SEO
What is data analytics?
The primary goal of data analytics is to assist you in increasing the efficiency and performance of your marketing strategy. It allows you to detect trends and patterns in your data and gain a greater understanding of what works for your business. There are four main types of data analytics:
Descriptive Analytics
Descriptive analytics involves looking at past data in order to analyse what has happened over a certain period of time – for example, the amount of traffic your website has had in the past month.
Diagnostic analytics
Once you have performed a descriptive analysis to determine what has happened, for example, whether your engagement has gone up or down, diagnostic analytics can help you figure out why. For example, if your sales have decreased in the past month, a diagnostic analysis can look at your marketing efforts and determine what caused the decrease.
Predictive analytics
This focuses on what is likely to happen in the near future. Predictive analytics involves examining trends and data from previous time periods in order to form predictions about future results. For example, what happened to your sales this time last year? Did they increase or decrease? This can help you predict what your sales will look like in the near future. It can also be used to perform risk assessments and sales forecasting.
Prescriptive analytics
Prescriptive analytics suggests a course of action. It combines the information obtained through descriptive, diagnostic, and predictive analytics and allows you to determine a plan of action for your future marketing decisions.
Data Analytics for SEO
Gaining an understanding of the effectiveness of your SEO and the standing of your website in search engines allows you to determine what is working for your business and what needs to be modified. You are then able to make changes to improve your SEO and make predictions about what will happen in the future.
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