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Conducting Cohort Analysis With Google Analytics
Slide 1
Conducting Cohort Analysis With Google
Analytics
Conducting Cohort Analysis With Google Analytics
Slide 2
1) Cohort Analysis
2) An Example
3) Creating Cohorts in Google Analytics
Overview
Source: Higher Education Marketing – Conducting Cohort Analysis With Google Analytics
Conducting Cohort Analysis With Google Analytics
Slide 3
 Cohort analysis, sometimes referred to as longitudinal
analysis, focuses on the behavior of cohort groups (a group
of people who share similar characteristics or behavior)
within a predefined timespan.
 Cohort analysis usually involves clustering web audiences/visitors by
the time period in which they first interact with your web ecosystem.
 The key benefit of cohort analysis comes from allowing
analysts to compare and analyze the retention and
engagement of different user groups to make sure that
changes made during each period have a positive impact.
1. Cohort Analysis
Source: Higher Education Marketing – Conducting Cohort Analysis With Google Analytics
Conducting Cohort Analysis With Google Analytics
Slide 4
 If your school considers webpage views as a core
engagement metric, when looking over analytical data for
the last couple of months, you might find that the "Month 2"
cohort has consistently remained more engaged and viewed
more pages per visit than other monthly cohorts.
 Looking at cohort retention in the same manner, you can say that
the "Month 2" cohort remained intently loyal to your school’s website.
2. An Example
Source: Higher Education Marketing – Conducting Cohort Analysis With Google Analytics
Conducting Cohort Analysis With Google Analytics
Slide 5
 Google introduced new segmentation features for Google
Analytics that make it easier to isolate and analyze subsets
of visitors or app users (or cohort groups).
 Previously, Google Analytics was not supporting cohort analysis as a
standard feature, since segments were always based on individual
visits.
 There is a 90 day limit to the user segment and in the cohort
analysis, which may change with time.
 Keep an eye on the Google Analytics help site for the latest
information.
3. Creating Cohorts in Google Analytics
Source: Higher Education Marketing – Conducting Cohort Analysis With Google Analytics
Conducting Cohort Analysis With Google Analytics
Slide 6
 To create a new cohort, click the + New Custom Segment
button. Next, you will be able to name your cohort and
choose form the five different types of segments.
 Demographics: Filter your visitors by demographics information, i.e.
age, gender, language, location, etc.
 Technology: Filter your visitors by their browser, screen resolution,
browser version, operating systems, etc.
 Behavior: Segment your visitors by how often they visit and interact
with your school’s website.
 Date of first visit: Segment your visitors by when they first
interacted with your school’s website.
 Traffic Source: Filter your visitors by how they discovered your
website using medium, campaign, source and keywords.
3. Creating Cohorts in Google Analytics
Source: Higher Education Marketing – Conducting Cohort Analysis With Google Analytics
Conducting Cohort Analysis With Google Analytics
Slide 7
 If you want to add filters, click on the condition option under
Advanced. This will allow you to add up to 20 filters.
 Once you have created your first cohort, you can preview
the results and test it to make sure it works properly.
 Step 1: Click on the “Date of First Visit” tab and enter the applicable
date rang.
 Step 2: Enter “referral” under Medium and “Facebook” under
Source, then preview the results.
 Two criteria must be fulfilled when conducting any type of
cohort analysis:
 Analysis must take place over a meaningful period of time.
 All the members of the cohort should be analyzed over the
predefined period of time.
3. Creating Cohorts in Google Analytics
Source: Higher Education Marketing – Conducting Cohort Analysis With Google Analytics
Conducting Cohort Analysis With Google Analytics
Slide 8
 Cohort analysis is considered a highly effective form of
observational analysis (substitutes for true experimental
analysis).
 It can help your team to identify moments when engagement
on your school’s websites decline and facilitates decision
making processes to eradicate bottlenecks that may have
resulted in these drops.
 In the recent update, Google has really changed the way
people perform cohort analysis using Google Analytics.
3. Creating Cohorts in Google Analytics
Source: Higher Education Marketing – Conducting Cohort Analysis With Google Analytics
Conducting Cohort Analysis With Google Analytics
Slide 9
Questions?
1.514.312.3968
info@higher-education-marketing.com
Visit our Website: Higher Education Marketing
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Conducting cohort analysis with google analytics

  • 1. Conducting Cohort Analysis With Google Analytics Slide 1 Conducting Cohort Analysis With Google Analytics
  • 2. Conducting Cohort Analysis With Google Analytics Slide 2 1) Cohort Analysis 2) An Example 3) Creating Cohorts in Google Analytics Overview Source: Higher Education Marketing – Conducting Cohort Analysis With Google Analytics
  • 3. Conducting Cohort Analysis With Google Analytics Slide 3  Cohort analysis, sometimes referred to as longitudinal analysis, focuses on the behavior of cohort groups (a group of people who share similar characteristics or behavior) within a predefined timespan.  Cohort analysis usually involves clustering web audiences/visitors by the time period in which they first interact with your web ecosystem.  The key benefit of cohort analysis comes from allowing analysts to compare and analyze the retention and engagement of different user groups to make sure that changes made during each period have a positive impact. 1. Cohort Analysis Source: Higher Education Marketing – Conducting Cohort Analysis With Google Analytics
  • 4. Conducting Cohort Analysis With Google Analytics Slide 4  If your school considers webpage views as a core engagement metric, when looking over analytical data for the last couple of months, you might find that the "Month 2" cohort has consistently remained more engaged and viewed more pages per visit than other monthly cohorts.  Looking at cohort retention in the same manner, you can say that the "Month 2" cohort remained intently loyal to your school’s website. 2. An Example Source: Higher Education Marketing – Conducting Cohort Analysis With Google Analytics
  • 5. Conducting Cohort Analysis With Google Analytics Slide 5  Google introduced new segmentation features for Google Analytics that make it easier to isolate and analyze subsets of visitors or app users (or cohort groups).  Previously, Google Analytics was not supporting cohort analysis as a standard feature, since segments were always based on individual visits.  There is a 90 day limit to the user segment and in the cohort analysis, which may change with time.  Keep an eye on the Google Analytics help site for the latest information. 3. Creating Cohorts in Google Analytics Source: Higher Education Marketing – Conducting Cohort Analysis With Google Analytics
  • 6. Conducting Cohort Analysis With Google Analytics Slide 6  To create a new cohort, click the + New Custom Segment button. Next, you will be able to name your cohort and choose form the five different types of segments.  Demographics: Filter your visitors by demographics information, i.e. age, gender, language, location, etc.  Technology: Filter your visitors by their browser, screen resolution, browser version, operating systems, etc.  Behavior: Segment your visitors by how often they visit and interact with your school’s website.  Date of first visit: Segment your visitors by when they first interacted with your school’s website.  Traffic Source: Filter your visitors by how they discovered your website using medium, campaign, source and keywords. 3. Creating Cohorts in Google Analytics Source: Higher Education Marketing – Conducting Cohort Analysis With Google Analytics
  • 7. Conducting Cohort Analysis With Google Analytics Slide 7  If you want to add filters, click on the condition option under Advanced. This will allow you to add up to 20 filters.  Once you have created your first cohort, you can preview the results and test it to make sure it works properly.  Step 1: Click on the “Date of First Visit” tab and enter the applicable date rang.  Step 2: Enter “referral” under Medium and “Facebook” under Source, then preview the results.  Two criteria must be fulfilled when conducting any type of cohort analysis:  Analysis must take place over a meaningful period of time.  All the members of the cohort should be analyzed over the predefined period of time. 3. Creating Cohorts in Google Analytics Source: Higher Education Marketing – Conducting Cohort Analysis With Google Analytics
  • 8. Conducting Cohort Analysis With Google Analytics Slide 8  Cohort analysis is considered a highly effective form of observational analysis (substitutes for true experimental analysis).  It can help your team to identify moments when engagement on your school’s websites decline and facilitates decision making processes to eradicate bottlenecks that may have resulted in these drops.  In the recent update, Google has really changed the way people perform cohort analysis using Google Analytics. 3. Creating Cohorts in Google Analytics Source: Higher Education Marketing – Conducting Cohort Analysis With Google Analytics
  • 9. Conducting Cohort Analysis With Google Analytics Slide 9 Questions? 1.514.312.3968 info@higher-education-marketing.com Visit our Website: Higher Education Marketing FOLLOW US ON FACEBOOK FOLLOW US ON LINKEDIN FOLLOW US ON TWITTER FOLLOW US ON PINTEREST FOLLOW US ON GOOGLE+