web analytics

We can list the importance of web analysis and data analysis in 5 points:

1) Measuring Performance: Web analytics and data analysis are used to measure the effectiveness of digital marketing strategies. In this way, we can evaluate and improve how successful the campaigns, content and advertisements are.
2) Understanding Customer Behaviour: Web analytics helps us understand visitors' interests, preferences and needs by tracking their behaviour on your website. This information allows us to create more targeted and personalised marketing strategies.
3) Improving Conversion Rates: Web analytics and data analytics help us identify where there are gaps at each stage of the funnel. In this way, we can take the necessary corrective measures to increase conversion rates.
4) Competition Analysis: Data analysis helps us analyse our competitors' digital marketing strategies and adjust our own strategies accordingly. By tracking competitor performance, we can identify trends and best practices in the industry.
5) Supporting Decision Making Processes: Web analytics and data analysis enable us to adopt a data-driven approach when making decisions about digital marketing strategies. This enables us to make more accurate, effective and strategic decisions.

Web analysis is performed using various methods. Visitor analysis is one of these methods. Data such as the number of visitors to your website, their sources, geographical location and behaviour are examined. Visitor analysis is performed with tools such as Google Analytics, Hubpost. Heat maps are visual maps that show which areas visitors click on a web page. In this way, it is determined whether the website is user-friendly and which content attracts the most attention. Thanks to the analysis of the conversion funnel, which follows the process of your customers' actions until conversion, it is determined in which steps your website visitors reach conversion and in which steps they give up. A/B tests, where different alternatives are presented to different users, are used to compare different designs, content or features. This method is used to determine which version performs better. Another important method is behavioural analysis. With behavioural analysis, we take a closer look at the behaviour of your website visitors. This method examines how visitors navigate between pages, how much time they spend and what actions they take. The combination of these methods is used to comprehensively evaluate and improve the performance of a website. Each method provides data from different angles and is used together to identify the strengths and weaknesses of the website.