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What is Google Analytics and what is Google Tag Manager? What’s the
difference between them? How do they work together? (Use maximum of 46 sentences to answer the question)
Answer: Google Analytics is a website traffic analysis application that
provides real-time statistics and analysis of user interaction with the website.
Google Tag Manager (GTM) is a free tool that enables you to install, store, and
manage marketing tags without modifying website code.
Google Analytics collects, stores, and analyzes data. Google Tag Manager sends
the data from your website to Google Analytics (or other tools) in the form of
Tags.
• Describe the three main components of Google Tag Manager: Tag, Trigger,
Variable. What are they and how do they work? (Use 3-4 sentences to
answer the question)
Answer: Tags are tracking codes and code fragments that tell GTM what
action to take on that page. Triggers specify the conditions under which a Tag
should fire. Variables are values used in triggers and tags to filter when a
specific tag should fire.
In Google Tag Manager, the term variable is used to denote a helper function
that your tags, triggers, and other variables can invoke to retrieve values
from.
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What is a data layer? What are the benefits of using a data layer? (Use 3-4
sentences to answer the question)
Answer: A data layer is an object that contains all the information you want
to pass from your website to a tag manager
a data layer can make your data more reliable and enhance functionality
and optimization efforts.
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What are conversions? How can you measure them with Google Analytics
and Tag Manager? Which events would you consider as conversions for an
e-commerce site? (Use 3-4 sentences to answer the question)
Answer: We call it a Conversion when the recipient of a marketing message
performs a desired action.
The primary way to measure a Google Analytics conversion is to create or
identify an event that measures the important user interaction and then mark the
event as a conversion.
Events: View Product, Proceed to Checkout, Add-to-Cart Errors, Home Page
Promotions: Click-throughs to Product Pages, Site Search Results, Site Searches
without Results, 404 Errors, Payment Method Selection, Social Media Shares.
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What is a session and what is a pageview? What’s the difference between
them? (Use 3-4 sentences to answer the question)
Answer: In Google Analytics, a session is a group of hits recorded for a user in a
given time period. Pageviews is the total number of pages viewed.
Sessions and pageview are pretty closely related. A pageview is when a page on
your website is visited by a user. A session is a collection pageviews by a user.
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Describe the key differences between Universal Analytics (GA3) and
Google Analytics 4 (GA4). State 3 differences you find the most important.
(Use 5-7 sentences to answer the question)
Answer: Google Analytics 4 is event-based: All interactions in GA4 are
captured as an event. Data models are differentGA4 is using a more flexible
data model where things like “event category”, “event action”, etc. Data from
apps and websites in a single property; View & data stream setup: With GA4,
you do not have an option to create views.
GA3 vs GA4 Conversion Count: In GA3, a conversion counts only once per
user session but in GA4, a can be counted multiple times per user session.
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What are Google Tag Manager custom templates? What’s the benefit of
using them? (Use 3-4 sentences to answer the question)
Answer: The costume templates in Google tag manager allows you to create your
own Tag are variable templates that you can share with other in your
organization.
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What is Google Data Studio ? What are some benefits of using it? (Use 3-4
sentences to answer the question)
Answer: Google Data Studio is a Business Intelligence (BI) tool, which
transforms raw data into strategic information for companies.
Advantages:
• FREE Tool
• Customizable Report Dashboards
• Modern & Interactive Data Visualizations
• Automated Reports with Real-Time Data
• Shareable Dashboards
• Data Studio Exports
• Drill Down Capabilities
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What is dimension and What is metric? What is the difference between
them in Google Data Studio? (Use 3-4 sentences to answer the question)
Answer: A dimension is the attribute of visitors to your website. A metric is a
quantitative measurement in Google Analytics.
Dimensions group data, with each dimension in a chart providing more and more
granular detail. Metrics in charts are always aggregated numbers: the level of
aggregation depends on the dimensions present, if any.
• What is a calculated field in Data Studio? When do we use it ?(Use 3-4
sentences to answer the question)
Answer: Calculated fields allow you to apply calculations and other functions to
your data to create new metrics and dimensions.
We use calculated field if the result of your calculation will always be dependent
on the other fields you select in a PivotTable. If you need to do more complex
calculations, like calculate a count based on a filter of some sort, or calculate a
year-over-year, or variance, use a calculated field.
•
What is data blending in Data Studio? What is a join key? (Use 3-4
sentences to answer the question)
Answer: Data blending is a feature in Google Data Studio, which lets you
create charts based on multiple data sources.
In a blended data source, each component data source must share one or
more dimensions, known as a join key. To blend data in Google Data
Studio, the data sources need to share a common dimension, known as a
“join key”.
• What kind of sharing methods do we have in Data Studio? Describe them.
(Use 5-7 sentences to answer the question)
Answer:
• You can invite specific people or Google Groups to view or edit reports and
data sources.
• You can send a PDF of your Looker Studio report to yourself and your
stakeholders on a regular basis by setting up an email delivery schedule.
• You can generate a short URL to a Looker Studio report to share, use in
web pages, or do anything else you can do with links.
• Embedding your reports lets you integrate your data stories into a broader
context.
• You can share Looker Studio reports on social media platforms like Twitter,
LinkedIn, Facebook, or Slack, or on chat applications like Hangouts, and
iMessage.