Skip to main content

1.Google Analytics Home

In the last 28 Days, 105 Users have read this blog, creating 184 sessions with a bounce rate of 38.04% and session duration of 2m 17s.

FIG.1

1.1. Active Users

The below image gives an analysis of page views per minute. For instance, six active users are viewing four different blogs for the given minute.
FIG.2
1.2. How do you acquire users?  

There are three different ways to acquire users, namely:

1.2.1. Traffic Channel

The below histogram indicates maximum traffic is caused by direct and social channels.
FIG.3
1.2.2. Source/Medium

Views have been escalated through the use of Direct and Instagram.
FIG.4
1.2.3. Referral 

FIG.5
1.3. How are your active users trending over time?

The line graph displays the number of active users over 90 days. 
FIG.6
1.4. How well do you retain users?

The below statistic gives the percentage of returning users for 6 different weeks.
FIG.7
1.5. When do your users visit?

The below analysis shows that maximum users have visited the blog between 4pm-7pm.

FIG.8
1.6. Where are your users?

The below geographical map indicates that maximum users are from India followed by Ireland for the last 7 days.
FIG.9
1.7. What are your top devices?

The below pie chart indicates that 85% of users have visited the page using a mobile device and the rest using a desktop.
FIG.10
1.9. What pages do your users visit?

The below report indicated the number of page views per site.
FIG.11



2. Real-Time Overview
The below Dashboard gives detailed information about the active users.
FIG.12



3. Audience Overview
The Below dashboard gives a statistical view about users and their function on the Blog page.

FIG.13
3.1. Active Users
FIG.14


3.2. Demographics Overview
Below is the Density chart for age and pie chart for gender.
FIG.15



3.3. Geo



3.3.1. Language
Below report gives a comparative study of literature on the basis on acquisition, behaviour and conversion.
FIG.16

 3.3.2. Location
Below report gives a comparative study of location on the basis on acquisition, behaviour and conversion
FIG.17

3.4. Behaviour



3.4.1. New and Returning Users
The below chart gives a detailed report on the different types of users.
FIG.18
3.4.2. Frequency and Recency
This Dashboard gives a comparative study of pageviews created per session.

FIG.19
3.4.3. Engagement
The below report gives session durations on per sessions, causing the changes in the number of pageviews.
FIG.20
3.5. Technolgy



3.5.1. Browsers and OS
Below report gives a comparative study of different browsers on the basis on acquisition, behaviour and conversion.
FIG.21




3.5.2. Network
Below report gives a comparative study of the different network on the basis on acquisition, behaviour and conversion.

FIG.22




3.6. Mobile Overview
Below report gives a comparative study of different devices used to view the blog
FIG.23




3.6.1. Devices used in detail

FIG.24



4.1.Behaviour Overview

FIG.25




Comments

Popular posts from this blog

Value of Big Data in Marketing

Big data gives us eyes and ears on our marketing activities. It captures insights into our prospects and customers at a level of detail that has never been possible before. At the moment, we can respond to audience actions in real-time and drive customer behaviour. Big data is changing marketing and sales in areas that only a few years ago seemed unachievable. Types of Big Data for Marketers 1. Customer Data Data from consumers allow advertisers to consider their target audience. This type of apparent data is facts such as names, email addresses, purchase history, and web searches. Just as important are indications of the attitudes of your audience, which can be gathered from social media activity, surveys, and online communities. (Pearlman, 2019) 2. Financial Data Financial information allows us to assess and improve performance. The numbers, expenditures, and earnings of your company on sales and marketing fall into this category. Pricing can...

Benefits and Challenges of Using Customer Data for Marketing

All personal, behavioural, and population data that the marketing companies and departments collect from their customised databases refer to customer data or consumer data. (Wikipedia Contributors, 2020) Types of Customer Data 1. Identity Data The first type of customer data analysis looks at the heart of database marketing, the most essential information to identify a person. It gathers the name, gender, age, telephone number, email address, occupation, social media handles, and account information of a customer. (Connext Digital, 2019) 2. Descriptive Data Your understanding is beyond the names, age, and email addresses of your customers. To get the right feeling of your customers, you must dig deeper. Here descriptive data comes into play. The goal is to collect quantifiable data on your customers so that their actions, seasonal increases, and buying practices can be accurately predicted. For maximum effect, your predictive analysis can be aligned with y...