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Web analytics
Rating: 3.9 out of 5(9 ratings)
872 students

Web analytics

Web analytics tools improves the performance of the website and converts the visitors into leads.
Last updated 3/2022
English
English [Auto],

What you'll learn

  • Introduction to Web Analytics
  • Google Analytics and Web Analytics
  • What is Optimizely and KISS metrics?
  • Explain what is Crazy Egg?

Course content

1 section13 lectures46m total length
  • Web Analytics2:45

    Explore web analytics fundamentals and tools such as Google Analytics, Optimizely, Kissmetrics, Crazy Egg, and Hotjar, and use data sources, segmentation, and dashboards to improve page performance and conversions.

  • Introduction to Web Analytics4:08

    Explore how web analytics tracks visitor behavior, measures key performance indicators, and uses data-driven reports to monitor web traffic, track goals, and improve sales and leads.

  • Google Analytics and Web Analytics5:40

    Explore how Google Analytics and web analytics track website performance, audience demographics, traffic sources, goals, and e-commerce conversions, using audience, acquisition, and behavior analyses to optimize channels and user journeys.

  • What is Optimizely and KISS metrics?4:32

    Explore how Optimizely supports A/B, multipage, and multivariate testing with a deployable script and goal tracking, while KISSmetrics provides acquisition data, user activity, and customer lifetime value insights.

  • Explain what is Crazy Egg?2:35

    Explore how Crazy Egg provides eye-tracking analytics through heat maps, scroll maps, overlays, and confetti to show where visitors click, scroll, and how to improve conversions.

  • What are the key metrics in Web Analytics?5:26

    Discover key web analytics metrics like page views, bounce rate, and pages per session, plus demographic info and devices, with insights on acquisition sources.

  • What is Data Source in Web Analytics?3:16

    Discover how data sources power web analytics by collecting server logs, visitors data, and search engine statistics in one data stack. Analyze traffic and conversion funnels to improve performance.

  • Explain the process of segmentation?3:25

    Learn how to segment website traffic into acquisition segments such as organic, referral, direct, social, and paid traffic, and translate data into actionable insights through analysis.

  • Web Analytics and Dashboard2:11

    Explore web analytics dashboards that visualize key performance indicators and enable immediate decisions. Learn how widgets in Google Analytics drive content, website performance, real-time, e-commerce, social media, and pay-per-click dashboards.

  • Web Analytics Tools2:23

    Explore eight web analytics tools, including Google Analytics, Spring Metrics, Clicky, Chartbeat, Mint, and user testing, to gain real-time visitor insights, keyword data, and user behavior tracking.

  • What is A/B testing?0:55

    Compare two variants to improve conversion and revenue across pages, ads, and headlines. A/B testing uses split testing on images, CTAs, landing pages, and more to learn from existing traffic.

  • Web Analytics – Conversion2:25

    Explore how web analytics track conversions and goals in ecommerce, using destination goals, duration goals, event goals, and pages per session. Analyze funnels and multi-channel reports to improve conversions.

  • Emerging Analytics6:25

    Explore emerging analytics and social media analytics to gather and analyze data from platforms like Google Analytics and Facebook Insights, gaining customer insights, tracking engagement, and informing conversions.

Requirements

  • No prior knowledge is required

Description

A WONDERFUL COURSE SPECIALLY DESIGNED FOR THOSE WHO DO ONLINE BUSINESS, WEB-DEVELOPERS, BLOGGERS.  THIS COURSE GREATLY HELPS TO INCREASE THE FAME OF YOUR WEBSITE ON THE INTERNET.

Who Should Enrol in this course?

Anyone who is interested in developing their Website Analytical Skills, Students, Graduates, Website Developers, Bloggers, Content Creators and others in related fields can enrol in this course.

Why Should You Enrol in this course?

This course helps you to identify some of the essential web metrics we should keep important performance indicators at the beginning, and it can be compared to study customers response and can improve it accordingly.

What you will learn from this course?

You will learn the following from this course:-

•Introduction to Web Analytics

•Google Analytics and Web Analytics

•What is Optimizely and KISS metrics?

•Explain what is Crazy Egg?

•What are the key metrics in Web Analytics?

•What is Data Source in Web Analytics?

•Explain the process of segmentation?

•Web Analytics and Dashboard

•Web Analytics Tools

•What is A/B testing?

•Web Analytics – Conversion

•Emerging Analytics


How is this course structured?

This is a comprehensive course which teaches you all the basic and advanced concepts of Web Analytical Skills. The entire course is divided into 10+ modules all in video formats. The course begins with an interesting introduction part which emphasizes the need to learn this skill and covers all the basic points. As the course progress various important and advanced concepts are also covered.

Real life examples and case studies are used to explain the advanced concepts and to make the course interesting. The entire course is explained using simple English. Images/Icons and infographics are used to add value to the content and make the course interesting.

What are the prerequisites for joining this course?

No prior experience or qualification is required for enrolling in this course. You need uninterrupted internet connection to watch the videos and basic understanding of English.

How you will get benefitted from this course?

After learning this course, you will become a Master in this skill. You can get benefitted by using various Web Analytics Tools and Web Stats and convert all website visitors into customers.


ENROL SOON AND DEVELOP YOUR BUSINESS AND INCREASE CUSTOMER BASE!

Who this course is for:

  • Networking Engineers
  • Software professionals
  • Analytics
  • Management Staff
  • Employees
  • SEO Professionals
  • Technical Writers
  • Bloggers