WHAT IS WEB ANALYTICS

analítica web

Web analytics is the process of collecting, measuring and evaluating data used in the world of digital marketing to analyse the information collected regarding user behaviour on a website, in order to understand and optimise its use.

Web analytics allows to analyse recurring trends and behaviours over time, compare the performance of SEM, SEO, Social Media, among others.

In addition, web analytics makes it possible to evaluate the performance of the website and to know as accurately as possible the behaviour of users on it. In this way, online marketing professionals can make strategic decisions and propose performance improvements to ecommerce.

Somos Sinapsis, a strategic consultancy and SEO agency in Barcelona, helping companies to develop their business using the Internet as their main channel. Experts in web analytics, SEO and SEM, we offer a cost-effective and tailor-made service.

web analytics

Why is web analytics important?

Thanks to web analytics, you can analyse in much more detail all the results of your marketing actions and improve all aspects related to your website.

  • Optimise the website to sell more and attract more potential customers.
  • Improve and make marketing actions more profitable.
  • Identify the target audience and connect with them.

In web analytics, the most important variables to measure and analyse are the KPIs or key performance indicators. Key performance indicators refer to various aspects that directly and 

indirectly influence the functioning of the strategies and actions carried out on a website.

What data can be obtained with Web Analytics?

In addition to being able to make decisions based on contrasted data, web analytics also allows us to evaluate whether the decisions and strategies followed are giving the most appropriate and optimal results possible.

General data

  • Number of users
  • Number of sessions
  • Bounce rate
  • Session duration
  • No. of active users
  • Pages viewed per minute
  • Top active pages
  • User data
  • Users by time of day
  • Traffic channel
  • Source/Media
  • Referrer URLs
  • Sessions per country
  • Pages visited
  • Number of page views
  • Sessions per device (Desktop and laptops, Mobile and Tablet) 

General information

  • Model user profiles
  • User quality score
  • Loyalty level
web analytics
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