Marketing Analytics and Reporting

Using GA4 Custom Dimensions and Segments to Build a Video Progress

Using GA4 Custom Dimensions and Segments to Build a Video Progress

Watch this video if you want to see how to create a GA4 Explorations report using the video_progress custom dimension and a custom segment to see all embedded YouTube video views on your site and how long they have been watched.

Here are some referenced and / or related resources:

GA4 Event Review (the 4 types of GA4 events):

GA4 vs. UA:

6 Important Set Up Tasks for GA4:

Google Analytics Link Click Tracking:

GA4 Problems (And What You Can Do About Them):

Some additional event and conversion tracking setups for GA4 are linked below with corresponding tutorials: – How to Set Up GA4 in 5 Minutes With GTM

– How to set up page timer event tracking:

– How to set up GA4 form submission tracking with a thank you page:

– How to set up GA4 form submission tracking with Contact Form 7:

– How to set up scroll depth tracking (UA):

– The Average Session Duration Metric Explained:

– How to set up YouTube video view tracking:

And here are some other GA4 specific resources that might be helpful: – Registering Custom Dimensions in GA4 Explained – How to Set Up Link Click Tracking in GA4 – How to Filter Out Internal Data in GA4 – How to sync Google Search Console data with GA4 – How to Set Up Site Search in GA4 and UA

Root and Branch offers free digital marketing training and tips focused on Google Analytics, Google Ads, Google Tag Manager, and SEO.

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Marketing Analytics and Reporting

Become a DATA ANALYST with NO experience[Video 31]Google Data Analytics Certificate - Course 1

The FASTEST WAY to Become a DATA ANALYST with NO experience as presented in this video, is to enrol in the Google Data Analytics Certificate program offered by Coursera, if you have not done so already. Please subscribe and comment: I subscribed. I will personally try might best to reply to youAlso, please dont fail to hit the NOTIFICATION BELL to get notified whenever a new video is posted.The Google Data Analytics Professional Certificate by Coursera is advertised as a Go-To Certificate to get you, your dream job as a data analyst with NO experience or college degree! Enrol for free here highly appreciate your kind donation(s) in producing more videos here you know that there are lots of great reasons to earn this certificate, now? Maybe you're thinking about starting a career in the exciting world of data analytics, or maybe you're just fascinated by the power of data as I am. No matter what brought you here, you're in the right place to kick-start a career and learn industry-relevant skills in data science & analytics. But first, what exactly is data? Well, I'll like to say that data is a collection of facts. This collection can include numbers, pictures, videos, words, measurements, observations. Once you have data, analytics puts it to work through analysis.Core duties of a Data Analyst as promoted by the Google Data Analytics Certificate program:The analysts organized tasks and activities around the six phases of the data analysis process: 1. Ask2. Prepare3. Process4. Analyze5. Share6. ActThe data analyst asked questions to define both the issue to be solved and what would equal a successful result. Next, the business analyst or data analyst prepared by building a timeline and collecting data with for example, employee surveys that were designed to be inclusive. The data scientist or analyst processed the data by cleaning it to make sure it was complete, correct, relevant, and free of errors and outliers. The data analysts analyzed the clean employee survey data. Then the analysts or people analysts as they are sometime called shared their findings by means of clean data visualization and recommendations with team leaders or top management. Afterward, top management acted on the results and focused on improving key areas of the data analysisKey data analytics terms explained in brief:Analytical skills: Qualities and characteristics associated with using facts to solve problems Analytical thinking: The process of identifying and defining a problem, then solving it by using data in an organized, step-by-step mannerAttribute: A characteristic or quality of data used to label a column in a tableBusiness task: The question or problem data analysis resolves for a business Context: The condition in which something exists or happensData analysis: The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-makingData analyst: Someone who collects, transforms, and organizes data in order to draw conclusions, make predictions, and drive informed decision-makingData analytics: The science of dataData design: How information is organizedData-driven decision-making: Using facts to guide business strategyData ecosystem: The various elements that interact with one another in order to produce, manage, store, organize, analyze, and share dataData science: A field of study that uses raw data to create new ways of modeling and understanding the unknown Data strategy: The management of the people, processes, and tools used in data analysisData visualization: The graphical representation of dataDatabase: A collection of data stored in a computer systemDataset: A collection of data that can be manipulated or analyzed as one unit Fairness: A quality of data analysis that does not create or reinforce bias Formula: A set of instructions used to perform a calculation using the data in a spreadsheetFunction: A preset command that automatically performs a specified process or task using the data in a spreadsheetGap analysis: A method for examining and evaluating the current state of a process in order to identify opportunities for improvement in the futureObservation: The attributes that describe a piece of data contained in a row of a tableQuery: A request for data or information from a databaseQuery language: A computer programming language used to communicate with a databaseRoot cause: The reason why a problem occursStakeholders: People who invest time and resources into a project and are interested in its outcomeTechnical mindset: The ability to break things down into smaller steps or pieces and work with them in an orderly and logical wayThis certificate program is a great first step in your journey to finding a job you love.NOTE: Databit365 does not in anyway claim ownership of this video.

Marketing Analytics and Reporting

How Cookie Extinction Has Made Data a Team Sport - MeasureSummit 2021 [Video]

MeasureSummit 2022 is soon to be here and to celebrate the third iteration of this online data-driven gathering, we have decided to give you a little taste of last year's presentations by streaming the best episodes from the conference.Want to attend this year's conference? Get your free ticket for MeasureSummit 2022 at Masters Membership: Tag Manager Course: Analytics Course: GTM Copy Paste - Our Chrome extension Hire us: Recommended Measure Books: Gear we used to produce this video: Our Live Streaming Software: FOLLOW USFacebook: