GOOGLE ANALYTICS
by Tuhin Ghosh
MBA (XLRI), Guest Faculty (IIM-L), Digital Marketing
Strategist and Consultant
GOOGLE ANALYTICS
INTRODUCTION
Google Analytics
GOOGLE ANALYTICS > INTRODUCTION
John Wanamaker (1838-1922), department-store magnate, once said, “Half the money I spend
on advertising is wasted; the trouble is, I don't know which half".
That was almost a century back.
But now it is possible to know this. Lets see how Google Analytics helps in measurement,
analysis and improvement of all your digital marketing efforts.
GOOGLE ANALYTICS
OBJECTIVES
Display Advertising – Day 8
GOOGLE ANALYTICS > OBJECTIVES
At the end of this module, you will be able to:
o Understand importance of digital analytics and how Google
Analytics helps the cause
o Set goals as per business objective and track them
o Read, interpret and customise reports and dashboards
o Link Analytics to AdWords and optimise
o Understand the importance of ‘test and learn’ approach of digital
marketing, create experiments and choose the right attribution
model
GOOGLE ANALYTICS
BUILDING A CASE FOR DIGITAL
ANALYTICS
Why is this an Important Aspect
of Digital Marketing
GOOGLE ANALYTICS > DEFINITION
“Digital analytics is the analysis of
qualitative and quantitative data from
your business and
the competition
to drive a continual improvement of the online
experience that
your customers and
potential customers have which
translates to your desired outcomes (both online
and offline).”
GOOGLE ANALYTICS > WHY IS IT SO IMPORTANT?
Measure- what is working and what is not
Set Priorities- where to focus
Segmentation- what works for a particular segment
Optimisation- Insights to drive the optimum effort
Develop niche – beyond your imagination!
GOOGLE ANALYTICS
UNDERSTANDING GOOGLE
ANALYTICS
How does Google Analytics Work
GOOGLE ANALYTICS > PREFFERED PLATFORM
Widely used
Free (it has premium version too)
Supported by the most popular search engine
Constantly evolving
Source : mobilemarketing.com
GOOGLE ANALYTICS > WHAT GOOGLE ANALYTICS CAN DO?
What is the visitor doing in your site?
From where are they coming?
When are they coming?
How are they buying?
Reports and Dashboards
Experiment and Learn
GOOGLE ANALYTICS > SETTING GOALS AS PER YOUR BUSINESS OBJECTIVES
Types of Goal Objectives
Ecommerce To sell products and services
Lead generation
Content publishing To collect user information and test various strategies
Online information
To encourage repeat visits and engagement
Branding
Looking for information when they need it
Awareness and loyalty of the users to a particular
website. The extent of reach of the website especially in
social media.
GOOGLE ANALYTICS > COMMON TERMINOLOGIES
Dimension: Attribute of a visitor
Metric: Number to measure dimension
Visitor: The user who visits the website by clicking on the
URL.
Visits: The amount of times the Website is accessed by
different users
Session: is defined as the duration of time a visitor spends
on a website
Unique Visitor: “The number of individual (non-duplicate)
visitors to a site over the course of a specific time period”
GOOGLE ANALYTICS > COMMON TERMINOLOGIES
Pages/Session: gives information and displays the number
of pages that were accessed per session.
Average Session: duration is defined as the “total duration
of all sessions (in seconds) / number of sessions”.
Unique Page View: the number of sessions during which
that page was viewed one or more times
Conversion: when the goal is completed by a user
Bounce Rate: Percentage of visits in which the visitor only
views one page of your Website and leaves
GOOGLE ANALYTICS > FOUR COMPONENTS OF GOOGLE ANALYTICS
Data Collection
Data Processing
Data Configuration
Reporting
Source: https://brookchalmers.wordpress.com/2014/12/18/how-google-analytics-works/
GOOGLE ANALYTICS > ACCOUNT STRUCTURE OF GOOGLE ANALYTICS
Account
Property
View
Users
Permission (the ‘lock’)
Source: Google Analytics Guide
GOOGLE ANALYTICS
SETTING UP GOOGLE ANALYTICS
Getting Started
GOOGLE ANALYTICS > SETTING UP THE ACCOUNT
Sign up/in at https://analytics.google.com/
Enter details
Account Name
Website
Industry
Data Sharing
Get Tracking ID for the property
Add tracking code to your web/app
Java script for Website
SDK for Apps
GOOGLE ANALYTICS > SETTING UP THE ACCOUNT
Accounts- Apply users, configuration et al.
Property- Connect to website, app, social etc.
Profile
Master View
Test View
GOOGLE ANALYTICS
REPORTS AND DASHBOARDS
How to Read and Customise
GOOGLE ANALYTICS > DASHBOARD
View the main metrics in each property
Default is provided
Customise as:
Blank Dashboard
Starter Dashboard (preferred)
Items in dashboard includes page views, unique page
views, average time on the page, bounce rate, landing
page, sessions, new sessions, goals, goals conversion,
exits and page views exits.
GOOGLE ANALYTICS > CREATE REPORT
Use this feature to create custom reports with your own dimensions and metrics
GOOGLE ANALYTICS > SET GOALS
Measure some set criteria depending on the visitor’s
action
Three options:
Use Goal Template: already some templates
available
Create Custom Goals: specific to your business
Create Smart Goals
GOOGLE ANALYTICS > CREATE NEW GOALS
GOOGLE ANALYTICS > CREATE NEW GOALS
GOOGLE ANALYTICS > IMPORT GOALS
GOOGLE ANALYTICS > 4 TYPES OF GOAL TRACKING Source :
Leadpages
Destination Goal- Page on the website which visitors see after
they complete an action. Source :
gaiax.com
• Example: Thank you page
Event Goal- Triggered by an event like the visitor downloading
your white paper.
Pages per visit Goal- Specify a minimum threshold of pages
visited by the users
Duration goal- Triggered when a user’s visit duration exceeds
or falls below a set duration.
GOOGLE ANALYTICS > EMAIL REPORTS
Do not have time to check Analytics regularly- you can
automate it
You can email it to your colleagues as well
You can select the frequency
Reports are in form of Pdf, txt, CSV, TSV
GOOGLE ANALYTICS > CUSTOM TRACKING
Track any of your online marketing effort
Use Google UTM tracking to override any default
tracking.
Use Google URL Builder
Basic tags used
utm_campaign
utm_source
utm_medium
On a large scale use Google Tag manager to manage
custom tracking
GOOGLE ANALYTICS > SEGMENTATION
Isolate and analyse subset of your data
Creates a relevant context
Build online strategy accordingly
Segmentation examples:
Date and Time
Device
Marketing Channel
Geography
Customer characteristics
GOOGLE ANALYTICS > AUDIENCE REPORT
WHO-HOW-WHERE-WHEN
Demography
Geography
Behaviour
Technology
Mobile
Benchmarking
GOOGLE ANALYTICS > ACTIVE USER
What is the long term engagement with your audience.
GOOGLE ANALYTICS > DEMOGRAPHIC
Understand the age and gender composition of your audience and tailor the content.
GOOGLE ANALYTICS > INTEREST REPORT
Affinity: What are the topics they are interested in?
In-Market: What are they actively researching and comparing in GDN and YouTube?
GOOGLE ANALYTICS > BEHAVIOR REPORT
How many visitors are coming back?
How frequently and how often?
What is the engagement level?
GOOGLE ANALYTICS > GEOGRAPHIC REPORT
Where are they coming from?
GOOGLE ANALYTICS > TECHNOLOGY REPORT
What browsers are they using?
What Network are they using?
GOOGLE ANALYTICS > MOBILE REPORT
What devices and screen sizes are they coming from?
GOOGLE ANALYTICS > BENCHMARKING REPORT
Source: Kaushik.net
Provides valuable contexts and helps to set meaningful targets and gain insights into trends
that occurring across the industry
GOOGLE ANALYTICS > ACQUISITION REPORT
What are the different channels you acquire from?
AdWords- Tracks your AdWords campaign
Search Console- Monitors your SEO
performance
Social – Monitors your social media traffic
Campaigns- Tracks different online campaigns
you conduct
GOOGLE ANALYTICS > BEHAVIOUR REPORT
How visitors engage with your site content
Points out where site speed may be a problem
Tracks what have people searched for when they visited your site
through ‘site search’
Tracks events (this has to be set example video play time)
Tracks your AdSense and other publisher
Helps you to track experiments you set up for testing what works
and what does not
Show click distribution in your page
GOOGLE ANALYTICS > CONVERSION REPORT
Help you in understanding how a conversion has happened.
Before this you need to set up conversion tracking
Three main areas:
• Top conversion path: all top unique path leading to
conversion
• Time lag: number of days since the 1st interaction
• Path length: how many touch points before conversion has
happened
GOOGLE ANALYTICS
ADWORDS AND ANALYTICS
Linking and Optimising
GOOGLE ANALYTICS > LINKING AND OPTIMISING
You can link both ways
Once Linked you can use the reports for
optimisation(refer our AdWords module)
GOOGLE ANALYTICS
A/B TESTING WITH EXPERIMENTS
Using ‘Test and Learn’ Approach
GOOGLE ANALYTICS > WHY TEST AND LEARN Source: Teanler.com
You are never sure what will work and what won’t.
That’s why you make some assumption through a combination of
past data, intuition and feedback.
This assumptions form a hypothesis.
You test the hypothesis and make changes.
Two main types of tests are used:
• A/B testing: testing two parameters at a time
• Multivariate testing: testing multiple parameters at a time
GOOGLE ANALYTICS > DEPLOYING ‘CONTENT EXPERIMENT’
Choose an Experiment (A/B testing)
Name your experiment
Define the Objective
Determine traffic distribution (we suggest equal distribution)
Set the period
Add the code to the relevant pages
Review and start
GOOGLE ANALYTICS
ATTRIBUTION MODELLING
Who Gets the Credit
GOOGLE ANALYTICS > WHY ATTRIBUTION MODELLING
You need to know which channel is most effective for
your goals
But one visitor may come from different channels at
different points of time
So how do you solve this- use Attribution Modelling
“An attribution model is the rule, or set of rules, that
determines how credit for sales and conversions is
assigned to touch points in conversion path”
GOOGLE ANALYTICS > DIFFERENT ATTRIBUTION MODELS
MODEL WHEN IS IT USED
Last Interaction model attributes 100% of It is useful when we want to know the
the conversion value to the last channel with transactional details for a current moment.
which the customer interacted before buying
or converting This is the default model used by google
analytics.
The Last Non-Direct Click- This model
ignores direct traffic and attributes 100% of If you want to identify and credit the
the conversion value to the last channel that AdWords ads that closed the most
the customer clicked through from before conversions, use the Last AdWords Click
buying or converting. model.
The Last AdWords Click model- This mode
attributes 100% of the conversion value to
the most recent AdWords ad that the
customer clicked before buying or converting