Convenient Reports for Analyzing Website Behavioral Factors

Share ideas, strategies, and trends in the crypto database.
Post Reply
subornaakter20
Posts: 283
Joined: Mon Dec 23, 2024 3:34 am

Convenient Reports for Analyzing Website Behavioral Factors

Post by subornaakter20 »

It is important for the resource owner to understand what visitors are unhappy with, why they spend little time on the pages and do not perform target actions. Search engines have created special services to analyze behavioral factors - "Webmaster" and "Metrica" ​​for Yandex and Analytics for Google. Let's consider their capabilities.

"Yandex.Metrica"
The most popular of the Russian-language services contains an impressive set of tools that allow you to study behavioral factors. Thanks to them, the necessary data is collected without professors edu email addresses any effort and accumulated in built-in reports.

"Webvisor"

Reports for analyzing site behavioral factors_Webvisor

Allows you to sort impressions by visitor activity or time spent on the site. It is considered the simplest and most visual report.

Pros: all user actions are captured.

Cons:

It may take a long time to view;

The data storage period is limited to two weeks.

Click map

An easy-to-use behavioral factors analysis tool.

Pros:

identifies the most popular site features;

it is possible to view data for each page of the resource;

high visibility of analysis results.

Cons: a lot of time is spent studying the situation.

Read also!

"MVP: tasks, errors and stages of development"
Read more
Scrolling Map

The tool allows you to understand how exactly users browse the pages of a website. Based on the analysis, it is easy to conclude whether a particular functionality is located correctly. Let's say you found out that most visitors do not go further than the top screen of the page and, as a result, do not see the form for ordering a call, located at the very bottom. Moving it will improve feedback and increase conversion.

Pros:

fast;

clearly.

Disadvantages: the object of analysis is exclusively internal behavioral factors.

Landing Pages Report

A tool for in-depth analysis, based on the results of which the resource owner understands which pages need urgent attention. We sort them by impressions and set filters: "More than 10" for visits and "More than 5 seconds" for viewing depth.

Reports for analyzing site behavioral factors_report on Yandex.Metrica landing pages

The report shows which pages have behavioral factors that are far from ideal.

Pros: identifying weak points of the resource for their correction.

Cons: obtaining reliable analysis results is possible when used together with Webvisor and Click Map.

Recommended articles on this topic:
Company Marketing Plan: Double the Company's Profits

KPI for the sales department: how to calculate and implement

How to get 3 times more clients for 2 times less

"Yandex.Webmaster"
Identifying pages that are presented in search results with unsuccessful snippets will help correct the shortcomings and thereby improve the behavioral factors on the site.

In "Webmaster" select "Search queries" and then "Recent queries". In the URL tab, run the CTR filter and get a list of problematic pages.

Pros:

fast;

there is no need for additional CTR calculation.

Cons: non-clickable links;

Google Analytics
Russian-speaking users dislike Google's behavioral factor analysis tools because of their complexity. However, those who have figured out Google.Analytics rightly consider this system to be more informative. It is enough to master two reports: the user behavior map and the landing page.

Landing Pages Report

First of all, let's start with the setup. Select search traffic (Organic) and the main indicator "Entry pages".
By setting up four segments, you will facilitate the work of analyzing behavioral factors.

We look at the average time and average depth of page views.

In the "Administrator" section, we create segments for analysis: time below + depth below, time above + depth below, time below + depth above, time below + depth below. We substitute the average values ​​of time and viewing depth.
Post Reply