Site's web analytics: traffic analysis, tools, systems, site traffic analysis
Web analytics (з англійської "Web analytics") - is the measurement, collection, analysis, and organization of web data reports to understand and optimize web resources.
Web analytics allows you to understand how many visitors are in the web resource and which pages they are viewing. This information helps assess traffic trends and content popularity and optimize the budget.
Web analytics can be used to evaluate and improve website effectiveness and as a tool for researching business and the market in general.
Web analytics services allow companies to measure the results of traditional print or broadcast advertising campaigns. It helps you evaluate how traffic to your site changes after launching a new ad campaign.
History of world web analytics
Origin began in 1990, with the advent of HTTP protocol (Hypertext Transfer Protocol), making it possible to record user-server interactions in log files (a log is a file with records of events in chronological order).
Each time the network user called the HTML element (basic structural page unit), a hit line was added to the log file.
Over time, owners of web resources began to receive «tons» of hits, and log files have increased too much in size. A system for analyzing such data was needed.
In 1995, the first free log file analysis system was created and called Analog. Thus began the era of web analytics. Subsequently, the process was commercialized, and analytics could be done not only by programmers but also by marketing specialists.
In 2004, the American Web Analytics Association (WAA) was founded, now known as the Digital Analytics Association. There was also a new method of collecting data on page visits — JavaScript tags.
In 2005, Google created the web analytics service Google Analytics. As a result, it became possible to analyze the behavior of visitors on web resources: counters, click cards, recorded conversions, and scrolling.
In 2012, Google Analytics for mobile applications was launched, collecting analytics via SDK («software development kit») for Android and iOS.
Machine learning and cognitive computing are at the heart of modern web analytics development, and analytics providers continue to create innovations in this area.
The profession of web analyst is similar to the work of a pathfinder. Such a specialist can digitally find out who was on the site and what he did.
Web analytics tasks:
With the help of statistics, you can
Common business mistakes:
Most of all, web analytics processes are reduced to the following stages:
There are such web analytics methods:
Web analytics categories
On-site web analytics
Off-site web analytics
Important indicators of web analytics:
Average page depth
Page time viewed
Bounce rate
Conversion
Achieving goals
Services prices
Service | Agency fee (UAH) | Media budget (UAH) |
---|---|---|
Web analytics of a site | from 5000 | - |
Teaser advertisement | from 6000 | from 16000 |
Working with the reputation of a site | from 15000 | from 10000 |
Writing articles to order | from 400 | - |
LSI texts for SEO | from 600 | - |
Usability audit (UX) | from 10000 | - |
Improvement of an online store conversion | from 10000 | - |
Commercial advertising in price aggregators | from 8000 | from 20000 |