Tested parameters | Monitoring |
Number of unique users | V |
Number of views | V |
Breakdown of users by device type | V |
Breakdown of users by device brand | V |
Division of users by operators | V |
Division into new and returning users | V |
Average time spent on the site | V |
Number of visits from social media | V |
Breakdown of users by types of social media | V |
The number of comments under publications in social media | V |
Number of page content shares | V |
The number of likes of content on social media | V |
Breakdown of incoming users by source | V |
A scrolling graph of the entire project | V |
Percentage of users scrolling the page up | V |
Graph of the depth of user escape from the site | V |
Graph of user attention on the page | V |
Average number of content visited | V |
Content visibility on the website | V |
User location (province) | V |
User town size | V |
The dynamics of using the site – carefully, carelessly | V |
Scrolling the page up | V |
Type of content that attracts users’ attention (text, graphics, video) | V |
User activity (shares, comments, likes) | V |
Ways of sharing the content of the website (messaging, e-mail, social media) | V |
Weekly distribution of incoming traffic to the website | V |
Weekly distribution of traffic from social networks | V |
Hourly distribution of incoming traffic | V |
Crawler/googlebot presence percentage | V |
Scope of the study | Website audit | ||
Starter | Basic | Advanced | |
Number of pages in the study | unlimited | unlimited | unlimited |
Number of unique users | V | V | V |
Number of views | V | V | V |
Breakdown of users by device type | V | V | V |
Breakdown of users by device brand | V | V | V |
Division of users by operators | V | V | V |
Division into new and returning users | V | V | V |
Analysis of the average time spent on the website and comparison to the market average | V | V | V |
Analysis of inputs from social media and comparison to the market average | V | V | V |
Breakdown of users by types of social media | V | V | V |
The number of comments under publications in social media | V | V | V |
Number of page content shares | V | V | V |
The number of likes of content on social media | V | V | V |
Breakdown of incoming users by source and comparison to the market average | V | V | V |
Scrolling analysis of the entire project | V | V | V |
Scrolling the page up | V | V | V |
Analiza głębokości ucieczki użytkowników ze strony i porównanie do średniej rynkowej | V | V | V |
Attention concentration analysis and indication of the most attractive elements of the page | V | V | V |
Analysis of the number of visited content and comparison to the market average | V | V | V |
Co-viewing analysis | V | V | V |
Detailed behavior analysis on the homepage | V | V | V |
Life content in social media | V | V | V |
Research on the presence of bots (Googlebot) on the website and reference to the market average | V | V | V |
Analysis of individual articles in terms of reach | X | V | V |
Analysis of individual articles in terms of engagement | X | V | V |
Analysis of individual articles in terms of social power | X | V | V |
Domain analysis in terms of reach | X | V | V |
Domain analysis for engagement | X | V | V |
Domain analysis for social strength | X | V | V |
Analysis of selected user behavior | X | X | V |
Ranking of thematic categories | X | X | V |
Ranking of sites with high growth potential | X | X | V |
Recommendations | V | V | V |
Scope of the study | Store audit | |
Starter | Complex | |
Number of pages in the study | unlimited | unlimited |
Number of visitors | V | V |
Number of views | V | V |
Incoming traffic analysis | V | V |
Indication of where engaged customers come from | V | V |
Identifying typical customer behavior in the store | V | V |
Analysis of customer behavior on the store’s homepage | V | V |
Indication where most customers go | X | V |
Indication of product categories that arouse the greatest emotions | X | V |
Studying the mindfulness of browsing the store’s website | X | V |
Indication which shelf is at eye level | X | V |
Indication of which products have the greatest potential | X | V |
Indication of products that no one is interested in | X | V |
Indication of which products have the greatest potential | X | V |
Indication of products that no one is interested in | X | V |
Scope of the study | Campaign Report |
Number of unique users | V |
Number of views | V |
Breakdown of users by device type | V |
Breakdown of users by device brand | V |
Division of users by operators | V |
Division into new and returning users | V |
Analysis of the average time spent on the website and comparison to the market average | V |
Analysis of inputs from social media and comparison to the market average | V |
Breakdown of users by types of social media | V |
The number of page content comments | V |
Number of page content shares | V |
Number of page content likes | V |
Breakdown of incoming users by source (Display, Social, Search, E-mail) | V |
Study of scrolling the entire project | V |
Badanie scrollowania strony do góry | V |
Analysis of the depth of user escape from the website and comparison to the market average | V |
Attention concentration analysis and indication of the most attractive elements of the page | V |
Analysis of the number of visited content and comparison to the market average | V |
Article co-viewing analysis | V |
The life of articles in social media and messengers | V |
Examining the presence of bots (Googlebot) on articles during the campaign | V |
Analysis of individual articles in terms of reach | V |
Analysis of individual articles in terms of engagement | V |
Analysis of individual articles in terms of social power | V |