A web analyst is a promising profession in internet marketing. This is a researcher who actually turns website visit data into profit. He knows the secrets does he do of people’s behavior on the internet and helps create effective strategies for developing buy phone number list online projects.
The main goal of his activity is to improve the quality of the resource. He collects information about the problems of the site or application, analyzes it and thinks over an improving concept. In accordance with the results obtaine, recommendations are made to developers, marketers, copywriters, etc.
Key tasks include:
- Defining key metrics and indicators;
- Setting up analytics systems on the website what is the trade term fcr? the difference between freight forwarding receipt and bill of lading and a practical guide and collecting information in Yandex.Metrica and Google Analytics;
- Search for systemic flaws;
- Conducting A/B tests and other experiments;
- Monitoring and evaluation of the conducte RK;
- Collecting and analyzing data on traffic, user behavior and conversions.
- Preparation of analytical reports;
- Interpreting data and reporting.
- Development of recommendations for does he do website optimization and marketing campaigns.
- Monitoring and analyzing the effectiveness of changes
Responsibilities
They can be divide into 3 groups:
- Collection of information.
Involves working with special services, advertising accounts and CRM systems. A web analyst performs:
- manual unloading and configuration of data import via API;
- their processing and verification from sms to data working services, as well as moving to special storage facilities;
- setting up an end-to-end analytics system;
- creation of reports and graphs containing key parameters;
- automation of processes to speed up your own activities.
Analysis of the obtaine data.
Includes work with reporting. The dynamics does he do of basic parameters are assess, the interrelations of their changes are identified taking into account advertising impressions and the situation on the site. For example, a web analyst sees that contextual advertising has brought in half as many leads compare to the previous month. While studying the reports, he notices that there was a 35% decrease in rates, and fewer ads are shown. Conclusion: the decrease in leads is associate with a decrease in the effectiveness of context.