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#musedata
Introduction to Google Analytics
MCN SIG Data & Insights
Brian Alpert (@balpert) & Elena Villaespesa (@elenustika)
#musedata
Our Workshop Today
2
• Introduction to digital analytics
• Navigating Google Analytics reports
• Setting goals and targets
• Google Analytics features
– Segmentation
– Custom reports
– Event tracking
– Views and filters
– Dashboards
– Resources & tools
• Q&A
#musedata 3
Introduction to digital analytics
#musedata
Search Engines
SEO
SEM (PPCcampaigns)
Optimization
Referring sites
Usual
Unusual
Trends/Insights
Createrelationships
Direct / Other
Email
Banners
Audience
Visits/Sessions
Demographics
Behaviour(time onsite, new
vs. returning,bouncerate,
loyalty, recency, browser,
mobile…)
Segmentation
Where are they comingfrom?Who they are? What are they visiting?
Content
Pageviews
Toppages, key areas,promopanel
success,click path,internal
search…
Test, customise
How are they converting/engaging?
Conversion(shop,tickets,membership,
donations…)
Email subscription
Comments
Sharingcontent
Downloads
Registration
Optimiseprocesses(funnels,page
optimisation)
What can wedo with Google Analytics?
#musedata 5
GA reports – User interface
#musedata 6
GA reports – Metrics
Users (Visitors) - measures the number of unique users that visit your site during a
certain time period. This metric is most commonly used to understand the overall size
of your audience.
Sessions (Visits) - are defined as a period of consecutive activity by the same user.
By default, in Google Analytics, a session persists until a user stops interacting with
the site for 30 minutes.
Average session duration - The time an average user spends on site in a given time
period. This is calculated as total time on site/sessions, where time on site for a
session is calculated by the time difference between when the first and last hits of the
session.
Average Pages/Session - The average number of website pages viewed by a user in
one session.
Bounce rate - A bounce is a one hit session. Bounce rate is simply the percentage of
all sessions that bounce.
#musedata 7
GA reports – Audience
#musedata 8
GA reports – Acquisition
#musedata 9
GA reports – Behavior
#musedata 10
GA reports – Conversions
#musedata 11
GA reports – Real time
#musedata
Universal Analytics
• Universal Analytics is the latest version of Google Analytics. It
replaces the asynchronous version (classic analytics)
• New features are only being developed for the new version
(Enhanced ecommerce, integrations of offline transactions, users
tracking across devices, new options for custom dimensions…)
• Google will disconnect the classic analytics but the date has not been
announced yet.
• To upgrade:
– Recommendation: use Google Tag Manager and run both codes in
parallel
– Change the GA code
– Update ecommerce, event tracking
Universal Analytics upgrade center
https://developers.google.com/analytics/devguides/collection/upgrade/#upgrade-guides
#musedata
Google Tag Assistant
#musedata 14
Web analytics is often about:
“So What?”
Getty Images
#musedata 15
What web analytics is really about:
#musedata
Your goal: use data to tell a story
 What was happening.
 What it meant.
 What you did.
 What’s happening
now.
16
forbes.com
#musedata
There is a systematic, step-by-step process
 Articulate your program’s goals.
 Decide strategies to achieve
those goals.
 Decide tactics to pursue the
strategies.
 Decide what and how to measure
to validate the tactics.
 Benchmark to get a sense of
what’s normal.
17
homedit.com
#musedata
Articulate specific goals
 Express what you’re trying to
accomplish.
 Make high-level goals more
specific:
 “Increase influence” - too broad.
 “Become the definitive source on
Smithsonian history” - more specific.
 Specificity makes it easier to
identify strategies and tactics.
 Not too many!
18
It’s a Wonderful Life
Start the conversation! Articulate
goals & next steps on your own;
work with management to finalize.
#musedata
Determine strategies & tactics
 Strategies – the plans you make to achieve the goals.
 Employing social media is a strategy.
 Tactics – the things you do to advance the strategy.
 Producing a specific type of content is a tactic.
 Individual channels (facebook, twitter) are tactics.
 Per the example:
 Goal: “Become the definitive source on Smithsonian history.”
 Strategy: Increase engagement with history of the Smithsonian
content.
 Tactic: Make SI-history content more findable and measureable.
19
#musedata
Decide how to measure your tactics
 Choose measurements to learn
if your tactics are succeeding.
 Choose a few measurements.
 Trend them over time.
 Per the example:
 Strategy: increase engagement with
SI history website content.
 Tactic: make website history
content more findable /
measureable.
 Make a “history-content” segment
and measure for engagement:
 Visit frequency
 Visit depth
 Bounce rate
20
History-
related visits
All
visits
“Deep history visits” were 94% higher!
#musedata 21
You can’t set targets w/o benchmarks
 You need at least six months of
data.
 Data is seasonal.
 Depends on your traffic.
 Balance targets with factors
beyond your control:
 Are the improvements you’re
seeking difficult to achieve?
 How much resources will you have
to implement tactics?
Drinks Enthusiast
#musedata 22
Keep it simple!
 Don’t do too much!
 Minimize the number of
measurements.
 If they turn-out to be
inconclusive, change up.
 It’s an ongoing process!
arvinddevalia.com
#musedata
 No actionable data
 Sessions (previously Visits)
 Users (previously Visitors)
 Pages (a.k.a. Pageviews)
 Establish scope / context.
 Measure growth / acquisition.
 You can’t improve your site by
measuring these.
 Reporting them out of context can be
misleading.
23
Satisfy your boss!
The inevitability of “Quantity of Stuff”
Source: Occam's Razor
“All data in
aggregate is crap.”
#musedata 24
 AAA wanted to make their
content more accessible to
younger students.
 They worked with Wikipedia
to expand their offerings.
 We compared segments of
Wikipedia visitors to other
visitors.
 Wiki-referred visitors were
increasingly less likely to
(need to) visit the AAA site
many times.
 This contrasts with the stable
trend of all visits.
All visits, high
frequency
Wikipedia visits,
high frequency
Validation!
Archives ofAmericanArt Wikipedia Case Study
#musedata
Here is the bottom line!
 Your measurements validate your
tactics (or not).
 To work the process and improve
your site, you need meaningful data:
 Engagement metrics
 Segments
 Goal completion / Conversion rates
 A-B tests
 Qualitative data (surveys)
 If your goal is purely audience
acquisition, you can use “quantity-of-
stuff” metrics to tell your story.
25
NY Daily News
#musedata 26
GA features
#musedata 27
Improve your program!
Segmentation: GA’s most powerful feature?
 Analyze subsets of traffic.
 Search engine visits
 Social media visits
 Demographics
 Import expert-made
segments from the “Gallery”!
 Google Blog
 Kissmetrics Overview
 Examples (Cutroni)
 Examples (Kaushik)
Segments are accessed
from this pull-down arrow.
#musedata 28
User segments are a big step forward
 “A user is the tool’s best-guess of an
anonymous person.”
 User segments represent all data
associated with a user.
 I.E., all session data the user generated
during the timeframe.
 Built-in segments:
 Single-visit users
 Multi-visit users
 Create your own:
 "Users in Massachusetts who spent > $100." User segment: facebook
mobile users who stayed
>30 seconds.
#musedata
There are various types of User Segments
 Under
 Demographics
 Traffic Sources
 Ecommerce
 Conditions
 Sequences
29
#musedata
 Create your own reports.
 Import expert-made
custom reports from the
“Gallery”!
 Reports can be scheduled
for delivery via email.
 Create and manage Custom
Reports (Google)
 12 Awesome Custom Reports
Created by the Experts
(Kissmetrics)
 3 Awesome, Downloadable,
Custom Web Analytics Reports
(Kaushik)
 5 Google Analytics Custom Reports
FTW! (Kaushik)
30
Create and access
Custom Reports from
the ‘Customization’ tab.
Improve your program!
Custom Reports can save you time & effort
Careful! Custom Reports make it easier to
mismatch dimensions and metrics!
#musedata
 More sophisticated Goals typically involve creating “Events”:
 External links
 Sign-ups, form submissions
 Downloads
 Many types of conversion goals
 To use Events:
 Define and categorize your events.
 Configure and add the javascript code, usually right in the link (not always).
 Many social-share widgets automatically add Events.
 Google Analytics Event Organizer (Michelle Herman)
 The Complete Google Analytics Event Tracking Guide Plus 10 Amazing
Examples (old code, good examples)
31
Improve your program!
‘Event Tracking’ is super-important
#musedata
Views (profiles) - Filtering your traffic
- Unfiltered
- Main profile
- Main profile showing full URLs (useful for microsites,
subdomains)
- Specific website section (e.g. Online Collection, Blog,
Visit, microsite…)
- Users using your website at the museum (filter via IP
address of the Wi-Fi)
- Mobile, Tablet, Desktop traffic
- SEO (filter organic traffic only)
#musedata
 Create a view that has no
filtering of any kind.
 Leave it alone – it is protection
against unintended
consequences.
 GA filters are powerful, but
irrevocable – if your data is
hosed by a bad or misapplied
filter you are out of luck.
33
Marquette Educator
An add’l ‘playground’ view is
a good idea too, to test those
new filters (and anything else)
You need an unfiltered backup view
#musedata
Filter – IP address (eg. Exclude internal
traffic, Wi-Fi at the museum…)
What is my IP address?
GA Create an IP address filter: https://support.google.com/analytics/answer/1034840?hl=en
#musedata
Filter – Website section
Example: Online collection http://www.metmuseum.org/art/collection
#musedata
Filter – Mobile traffic
#musedata
Building a dashboard
• Selection of metrics
• Type of dashboard: strategic, tactical, operational
• Automation and update process
• Share options (internal / external dashboard)
• Frequency of updates (real time, weekly, monthly, snapshot of the
year)
• Data sources (Google Analytics, Facebook Insights, Twitter Analytics,
Surveys…)
• API available?
• Type of widgets (number, graphs, text, real time feed, embeds…)
• User interface
• Design and brand
#musedata
Google Analytics dashboards
Examples: Overview, Ecommerce, Mobile, Social Media,
SEO, PPC, Content, Online Collection, Real Time
dashboard
#musedata
How to create a GA dashboard
#musedata
Adding widgets
#musedata
Adding widgets from the GA reports
#musedata
Google Analytics Solutions Gallery
#musedata
Share your dashboard
Share the template or give access
to the whole team > Shared
dashboards
Schedule emails to send the
dashboard in PDF format
#musedata
Resources & tools
 Google Analytics Academy
 Google Analytics Blog
 Absolute Beginner's Guide to Google Analytics (moz.com)
 Avinash Kaushik’s “Occam’s Razor”
 Analytics Talk (Justin Cutroni)
 Cardinal Path Training
 Kissmetrics
 Lunametrics blog
 Lunametrics Training
 Universal Analytics Upgrade Guide
 Supermetrics Data Grabber
 Automate Analytics (Supermetrics) Google Group
 Analytics Edge
 Discover the Google Analytics Platform (advanced tools)
44
#musedata
Dashboard and data visualization tools
• Data wrapper
• Google charts
• Raw
• Picktochart
• Canva
• Infogram
• Venngage
• Easelly
• Google Analytics apps
• Tableau
• Ducksboard
• Geckoboard
• Chartio
• Dash This
• Silk
• Power BI
#musedata
Google Tag Manager
• Tags: Google Analytics, third party tags, custom
html tags
• Trigger: when and where to activate the tag (e.g.
PDF download, purchase a product, share on
social media)
• Variables: information obtained from the web
page (e.g. URL, PDF clicked, element clicked,
page shared…)
#musedata
Omnibug: web metrics debugging tool
#musedata
Google’s “Analytics Academy”
 Free video-based courses
 Digital Analytics
Fundamentals
 Google Analytics Platform
Principles
 Ecommerce Analytics: From
Data to Decisions
 Mobile App Analytics
Fundamentals
 Google Tag Manager
Fundamentals
48
analyticsacademy.withgoogle.com
#musedata 49
Boston Dynamics
Automation
#musedata 50
Supermetrics
 Commercial Excel add-on.
 Easy-to-use and customize.
 Exceptional charting capabilities.
 Schedule reports to run
automatically.
 14 days free.
 $348 per year.
 Limited documentation and
support.
 Free version for Google
Sheets now available.
http://supermetrics.com
#musedata 51
Supermetrics Custom Dashboard
 The two spreadsheets work
together.
 ‘Engagement’ oriented metrics
 Visit Frequency
 Visit Length
 Visit Depth
 New vs. Returning Visits
 Bounce Rate
 Conversion Rate
 Search Engines
 A foundation to make data
actionable
 “Key Trends and Insights”
 “Impact on Site/Museum”
 “Steps Being Taken”
The easily updated, trended data is
what makes the dashboard powerful.
#musedata
All Visits data tells a nice story...
52
Minimal
frequency group
(purple)
downward trend
indicates
improving content
engagement
High frequency
group (blue)
upward trend
indicates same
Impact of this Data on the Site or Program
• This good-looking chart may indicate high content engagement and/or perceived value
• This data may correlate to increasing conversion behaviors
Acting on this Data
• Identify moderate and high loyalty pages as a means of duplicating, or improving others
• Examining conversion behaviors of these segments may yield add'l insights
• Correlating high bounce rate pages to one-time visits may yield add'l insights
• Test different content types in an attempt to move 'minimal' visitors into 'moderate' group
Key Trends
and Insights
#musedata 53
This Impact of this Data on the Site or Program
• Organic search listings are driving poorly-targeted traffic
• Will result in decreased organic search performance over time
Acting on this Data
• Refocus title tags, meta-description tags and page content for important pages
• Perform link analysis to see where other SEO improvements can be made
Minimal
frequency group
upward trend
indicates organic
listings are not
appropriately
targeted
Moderate
frequency group
downward trend
indicates same
High frequency
group trending
slightly downward,
in contrast to
previous chart’s
upward slope
Key Trends
and Insights
…But applying segmentation tells a different story
#musedata
Google Sheets Spreadsheet Add-on
 Create (simple) dashboards
and visualizations.
 Being well-versed in Google
Sheets’ data manipulation
features helps a lot.
 Schedule reports to run
automatically.
 Embed visualizations on
websites with automatic
refresh!
 Introductory video
 ‘Building a Dashboard’ video
 Google Group
54
Google Sheets spreadsheet add-on
#musedata
Analytics Edge Excel Add-on
 Wizard-driven interface is clean
and (relatively) intuitive.
 Auto-refresh and schedule reports.
 Import data from text files,
worksheets or other workbooks
 Support via online community.
 Free and paid versions:
 Free Social Shares connector.
 More features - $6/month.
 Optional connectors - $4/month.
55
http://www.analyticsedge.com
#musedata 56
Questions?
#musedata 57
Thanks!
 @balpert
 @elenustika

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Introduction to Google Analytics - MCN SIG Data & Insights

  • 1. #musedata Introduction to Google Analytics MCN SIG Data & Insights Brian Alpert (@balpert) & Elena Villaespesa (@elenustika)
  • 2. #musedata Our Workshop Today 2 • Introduction to digital analytics • Navigating Google Analytics reports • Setting goals and targets • Google Analytics features – Segmentation – Custom reports – Event tracking – Views and filters – Dashboards – Resources & tools • Q&A
  • 3. #musedata 3 Introduction to digital analytics
  • 4. #musedata Search Engines SEO SEM (PPCcampaigns) Optimization Referring sites Usual Unusual Trends/Insights Createrelationships Direct / Other Email Banners Audience Visits/Sessions Demographics Behaviour(time onsite, new vs. returning,bouncerate, loyalty, recency, browser, mobile…) Segmentation Where are they comingfrom?Who they are? What are they visiting? Content Pageviews Toppages, key areas,promopanel success,click path,internal search… Test, customise How are they converting/engaging? Conversion(shop,tickets,membership, donations…) Email subscription Comments Sharingcontent Downloads Registration Optimiseprocesses(funnels,page optimisation) What can wedo with Google Analytics?
  • 5. #musedata 5 GA reports – User interface
  • 6. #musedata 6 GA reports – Metrics Users (Visitors) - measures the number of unique users that visit your site during a certain time period. This metric is most commonly used to understand the overall size of your audience. Sessions (Visits) - are defined as a period of consecutive activity by the same user. By default, in Google Analytics, a session persists until a user stops interacting with the site for 30 minutes. Average session duration - The time an average user spends on site in a given time period. This is calculated as total time on site/sessions, where time on site for a session is calculated by the time difference between when the first and last hits of the session. Average Pages/Session - The average number of website pages viewed by a user in one session. Bounce rate - A bounce is a one hit session. Bounce rate is simply the percentage of all sessions that bounce.
  • 7. #musedata 7 GA reports – Audience
  • 8. #musedata 8 GA reports – Acquisition
  • 9. #musedata 9 GA reports – Behavior
  • 10. #musedata 10 GA reports – Conversions
  • 11. #musedata 11 GA reports – Real time
  • 12. #musedata Universal Analytics • Universal Analytics is the latest version of Google Analytics. It replaces the asynchronous version (classic analytics) • New features are only being developed for the new version (Enhanced ecommerce, integrations of offline transactions, users tracking across devices, new options for custom dimensions…) • Google will disconnect the classic analytics but the date has not been announced yet. • To upgrade: – Recommendation: use Google Tag Manager and run both codes in parallel – Change the GA code – Update ecommerce, event tracking Universal Analytics upgrade center https://developers.google.com/analytics/devguides/collection/upgrade/#upgrade-guides
  • 14. #musedata 14 Web analytics is often about: “So What?” Getty Images
  • 15. #musedata 15 What web analytics is really about:
  • 16. #musedata Your goal: use data to tell a story  What was happening.  What it meant.  What you did.  What’s happening now. 16 forbes.com
  • 17. #musedata There is a systematic, step-by-step process  Articulate your program’s goals.  Decide strategies to achieve those goals.  Decide tactics to pursue the strategies.  Decide what and how to measure to validate the tactics.  Benchmark to get a sense of what’s normal. 17 homedit.com
  • 18. #musedata Articulate specific goals  Express what you’re trying to accomplish.  Make high-level goals more specific:  “Increase influence” - too broad.  “Become the definitive source on Smithsonian history” - more specific.  Specificity makes it easier to identify strategies and tactics.  Not too many! 18 It’s a Wonderful Life Start the conversation! Articulate goals & next steps on your own; work with management to finalize.
  • 19. #musedata Determine strategies & tactics  Strategies – the plans you make to achieve the goals.  Employing social media is a strategy.  Tactics – the things you do to advance the strategy.  Producing a specific type of content is a tactic.  Individual channels (facebook, twitter) are tactics.  Per the example:  Goal: “Become the definitive source on Smithsonian history.”  Strategy: Increase engagement with history of the Smithsonian content.  Tactic: Make SI-history content more findable and measureable. 19
  • 20. #musedata Decide how to measure your tactics  Choose measurements to learn if your tactics are succeeding.  Choose a few measurements.  Trend them over time.  Per the example:  Strategy: increase engagement with SI history website content.  Tactic: make website history content more findable / measureable.  Make a “history-content” segment and measure for engagement:  Visit frequency  Visit depth  Bounce rate 20 History- related visits All visits “Deep history visits” were 94% higher!
  • 21. #musedata 21 You can’t set targets w/o benchmarks  You need at least six months of data.  Data is seasonal.  Depends on your traffic.  Balance targets with factors beyond your control:  Are the improvements you’re seeking difficult to achieve?  How much resources will you have to implement tactics? Drinks Enthusiast
  • 22. #musedata 22 Keep it simple!  Don’t do too much!  Minimize the number of measurements.  If they turn-out to be inconclusive, change up.  It’s an ongoing process! arvinddevalia.com
  • 23. #musedata  No actionable data  Sessions (previously Visits)  Users (previously Visitors)  Pages (a.k.a. Pageviews)  Establish scope / context.  Measure growth / acquisition.  You can’t improve your site by measuring these.  Reporting them out of context can be misleading. 23 Satisfy your boss! The inevitability of “Quantity of Stuff” Source: Occam's Razor “All data in aggregate is crap.”
  • 24. #musedata 24  AAA wanted to make their content more accessible to younger students.  They worked with Wikipedia to expand their offerings.  We compared segments of Wikipedia visitors to other visitors.  Wiki-referred visitors were increasingly less likely to (need to) visit the AAA site many times.  This contrasts with the stable trend of all visits. All visits, high frequency Wikipedia visits, high frequency Validation! Archives ofAmericanArt Wikipedia Case Study
  • 25. #musedata Here is the bottom line!  Your measurements validate your tactics (or not).  To work the process and improve your site, you need meaningful data:  Engagement metrics  Segments  Goal completion / Conversion rates  A-B tests  Qualitative data (surveys)  If your goal is purely audience acquisition, you can use “quantity-of- stuff” metrics to tell your story. 25 NY Daily News
  • 27. #musedata 27 Improve your program! Segmentation: GA’s most powerful feature?  Analyze subsets of traffic.  Search engine visits  Social media visits  Demographics  Import expert-made segments from the “Gallery”!  Google Blog  Kissmetrics Overview  Examples (Cutroni)  Examples (Kaushik) Segments are accessed from this pull-down arrow.
  • 28. #musedata 28 User segments are a big step forward  “A user is the tool’s best-guess of an anonymous person.”  User segments represent all data associated with a user.  I.E., all session data the user generated during the timeframe.  Built-in segments:  Single-visit users  Multi-visit users  Create your own:  "Users in Massachusetts who spent > $100." User segment: facebook mobile users who stayed >30 seconds.
  • 29. #musedata There are various types of User Segments  Under  Demographics  Traffic Sources  Ecommerce  Conditions  Sequences 29
  • 30. #musedata  Create your own reports.  Import expert-made custom reports from the “Gallery”!  Reports can be scheduled for delivery via email.  Create and manage Custom Reports (Google)  12 Awesome Custom Reports Created by the Experts (Kissmetrics)  3 Awesome, Downloadable, Custom Web Analytics Reports (Kaushik)  5 Google Analytics Custom Reports FTW! (Kaushik) 30 Create and access Custom Reports from the ‘Customization’ tab. Improve your program! Custom Reports can save you time & effort Careful! Custom Reports make it easier to mismatch dimensions and metrics!
  • 31. #musedata  More sophisticated Goals typically involve creating “Events”:  External links  Sign-ups, form submissions  Downloads  Many types of conversion goals  To use Events:  Define and categorize your events.  Configure and add the javascript code, usually right in the link (not always).  Many social-share widgets automatically add Events.  Google Analytics Event Organizer (Michelle Herman)  The Complete Google Analytics Event Tracking Guide Plus 10 Amazing Examples (old code, good examples) 31 Improve your program! ‘Event Tracking’ is super-important
  • 32. #musedata Views (profiles) - Filtering your traffic - Unfiltered - Main profile - Main profile showing full URLs (useful for microsites, subdomains) - Specific website section (e.g. Online Collection, Blog, Visit, microsite…) - Users using your website at the museum (filter via IP address of the Wi-Fi) - Mobile, Tablet, Desktop traffic - SEO (filter organic traffic only)
  • 33. #musedata  Create a view that has no filtering of any kind.  Leave it alone – it is protection against unintended consequences.  GA filters are powerful, but irrevocable – if your data is hosed by a bad or misapplied filter you are out of luck. 33 Marquette Educator An add’l ‘playground’ view is a good idea too, to test those new filters (and anything else) You need an unfiltered backup view
  • 34. #musedata Filter – IP address (eg. Exclude internal traffic, Wi-Fi at the museum…) What is my IP address? GA Create an IP address filter: https://support.google.com/analytics/answer/1034840?hl=en
  • 35. #musedata Filter – Website section Example: Online collection http://www.metmuseum.org/art/collection
  • 37. #musedata Building a dashboard • Selection of metrics • Type of dashboard: strategic, tactical, operational • Automation and update process • Share options (internal / external dashboard) • Frequency of updates (real time, weekly, monthly, snapshot of the year) • Data sources (Google Analytics, Facebook Insights, Twitter Analytics, Surveys…) • API available? • Type of widgets (number, graphs, text, real time feed, embeds…) • User interface • Design and brand
  • 38. #musedata Google Analytics dashboards Examples: Overview, Ecommerce, Mobile, Social Media, SEO, PPC, Content, Online Collection, Real Time dashboard
  • 39. #musedata How to create a GA dashboard
  • 43. #musedata Share your dashboard Share the template or give access to the whole team > Shared dashboards Schedule emails to send the dashboard in PDF format
  • 44. #musedata Resources & tools  Google Analytics Academy  Google Analytics Blog  Absolute Beginner's Guide to Google Analytics (moz.com)  Avinash Kaushik’s “Occam’s Razor”  Analytics Talk (Justin Cutroni)  Cardinal Path Training  Kissmetrics  Lunametrics blog  Lunametrics Training  Universal Analytics Upgrade Guide  Supermetrics Data Grabber  Automate Analytics (Supermetrics) Google Group  Analytics Edge  Discover the Google Analytics Platform (advanced tools) 44
  • 45. #musedata Dashboard and data visualization tools • Data wrapper • Google charts • Raw • Picktochart • Canva • Infogram • Venngage • Easelly • Google Analytics apps • Tableau • Ducksboard • Geckoboard • Chartio • Dash This • Silk • Power BI
  • 46. #musedata Google Tag Manager • Tags: Google Analytics, third party tags, custom html tags • Trigger: when and where to activate the tag (e.g. PDF download, purchase a product, share on social media) • Variables: information obtained from the web page (e.g. URL, PDF clicked, element clicked, page shared…)
  • 48. #musedata Google’s “Analytics Academy”  Free video-based courses  Digital Analytics Fundamentals  Google Analytics Platform Principles  Ecommerce Analytics: From Data to Decisions  Mobile App Analytics Fundamentals  Google Tag Manager Fundamentals 48 analyticsacademy.withgoogle.com
  • 50. #musedata 50 Supermetrics  Commercial Excel add-on.  Easy-to-use and customize.  Exceptional charting capabilities.  Schedule reports to run automatically.  14 days free.  $348 per year.  Limited documentation and support.  Free version for Google Sheets now available. http://supermetrics.com
  • 51. #musedata 51 Supermetrics Custom Dashboard  The two spreadsheets work together.  ‘Engagement’ oriented metrics  Visit Frequency  Visit Length  Visit Depth  New vs. Returning Visits  Bounce Rate  Conversion Rate  Search Engines  A foundation to make data actionable  “Key Trends and Insights”  “Impact on Site/Museum”  “Steps Being Taken” The easily updated, trended data is what makes the dashboard powerful.
  • 52. #musedata All Visits data tells a nice story... 52 Minimal frequency group (purple) downward trend indicates improving content engagement High frequency group (blue) upward trend indicates same Impact of this Data on the Site or Program • This good-looking chart may indicate high content engagement and/or perceived value • This data may correlate to increasing conversion behaviors Acting on this Data • Identify moderate and high loyalty pages as a means of duplicating, or improving others • Examining conversion behaviors of these segments may yield add'l insights • Correlating high bounce rate pages to one-time visits may yield add'l insights • Test different content types in an attempt to move 'minimal' visitors into 'moderate' group Key Trends and Insights
  • 53. #musedata 53 This Impact of this Data on the Site or Program • Organic search listings are driving poorly-targeted traffic • Will result in decreased organic search performance over time Acting on this Data • Refocus title tags, meta-description tags and page content for important pages • Perform link analysis to see where other SEO improvements can be made Minimal frequency group upward trend indicates organic listings are not appropriately targeted Moderate frequency group downward trend indicates same High frequency group trending slightly downward, in contrast to previous chart’s upward slope Key Trends and Insights …But applying segmentation tells a different story
  • 54. #musedata Google Sheets Spreadsheet Add-on  Create (simple) dashboards and visualizations.  Being well-versed in Google Sheets’ data manipulation features helps a lot.  Schedule reports to run automatically.  Embed visualizations on websites with automatic refresh!  Introductory video  ‘Building a Dashboard’ video  Google Group 54 Google Sheets spreadsheet add-on
  • 55. #musedata Analytics Edge Excel Add-on  Wizard-driven interface is clean and (relatively) intuitive.  Auto-refresh and schedule reports.  Import data from text files, worksheets or other workbooks  Support via online community.  Free and paid versions:  Free Social Shares connector.  More features - $6/month.  Optional connectors - $4/month. 55 http://www.analyticsedge.com