Migration Automation Tool: Migrate Google Analytics GA3 / Universal Analytics(UA) to GA4 using Google Tag Manager

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Here is POC on Migrating GA3 / Universal Analytics to GA4 using Google Tag Manager. Demo Covers: Creation of GTM Account, Container and Workspace for tags  Adding GTM codes to webpages and enabling GTM Universal Analytics Property Creation in GA GTM UA / GA3 Pageview tag creation GA3 Event tag creation by capturing CSS selector for the button event trigger GA4 Property Creation and linking via GA Enabling GA4 pageview tag  Using GTM GA4 migrator tool to migrate GA3/UA event tags to GA4 Scanning though the GA4 event migration Validation using GTM debug mode Report validation

Web Analytics Tools to Measure Online Business Performance

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Web analytics is the study of online behaviour of visitors.

To know how successful is a website, web analytics tools are highly important. Only when you understand 'how your visitors interact with your website you can measure your online business performance.

For every online business there should be some actions they expect visitors to take to sustain and excellence. These actions could be mere clicks to the website, filling in online forms or purchasing products.

There are two types of web analytics tools available in the market. They are log file analysis softwares and page tagging tools. Irrespective of which type of web analytics tools you choose, you can measure your websites performance using the following e-metrics.

E-Metrics:

1) Visits
2) Unique visits
3) Pages/Visit
4) Avg. time on site
5) Bounce rate
6) Exit rate
7) Country, city
8) Keywords
9) Sources
10) Navigation path
11) Entrance path

Here are few steps to measure your websites performance:

1) Track all the pages that Visitors tread while moving towards the penultimate conversion pages.

2)Identify your checkout conversion page and observe the navigational path taken by your customers.Compare the actual conversions naviflow with the above stated step.Through this we can ascertain the successful path that lead to conversions.

3)Now you would be having the figures of "how many visitors moved to the penultimate conversion page and how many got converted into customers.

Segregate the visitors moved to just the penultimate sales conversion process and exited as group I. Segregate the visitors who completed the conversion process as group II.

Analyze group I to identify the stumbling blocks. Pick up each every page pursued by the visitors. Start your analysis using the following KPIs viz. bounce rate, exit rate, keywords, sources, navigational path, entrance path etc.

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