Initial orientation to Google Analytics terminology, an overview of marketing automation, and a perspective on dashboards to present your different data sources with a focus on Google Data Studio.
7. Kalamuna partners with socially impactful institutions,
associations, agencies, and governments to help them solve
today’s most pressing problems.
We do this by empowering them with the research, strategy,
design, and technology that will transform their
organizations so they can better serve the needs of their
audiences and communities.
28. What is Analytics?
Analytics is the discovery, interpretation, and
communication of meaningful patterns in data.
29. What is Digital Analytics ?
Digital analytics encompasses the collection,
measurement, analysis, visualisation and interpretation
of digital data illustrating user behaviour on websites,
mobile sites and mobile applications.
32. We tracked 746 Page Views and
597 Clicks
Top interactions included
Search, Directory of Services,
the News Carousel, and
Contact Us link
Not everyone scrolls down to
the bottom, but those who did
were quite active
Social links and newsletter
signup were largely ignored
Desktop: Clicks, Movement, and Scrolling
Clicks Mouse tracking Scrolling
34. Creating surveys to understand user behavior
How often do you visit the website?
35. Analytics help you understand what
works and what doesn’t, so you can
adjust your approach to your
audience and have a greater impact.
36. Data Collection
■ A web analytics script collects information about a user’s interactions
with your site as well as the:
■ technology they use (browser, device, OS)
■ geolocation
■ traffic source (email campaign, search engine)
39. Understanding time on your site
■ The quality of your content can be measured using several metrics.
One of them is time spent on site.
■ The longer you’re in the mall, the more likely you are to buy more stuff
40. Session
■ Begins when user visits a page with the tracking code
■ Each session is unique to a browser on a device
■ Typically ENDS after 30 minutes of inactivity
■ If visiting the site once an hour, a new session starts each time.
■ Google Analytics has no way to measure duration for the last page visited
within the session
41. Session Duration
Looks at the total time spent across the entire session. It includes exits on the last
page, so it is considered a less reliable metric since the last page will always have a
value of 0.
42. Bounce Rate
■ A Bounce = a single page session
■ Bounce Rate is the the % of sessions that only saw 1 page
■ There is NO relationship to time spent
■ Sometimes visitors find what they want and Bounce. Success.
■ Most time-based metrics within GA, such as Average Session Duration, only
include users who DID NOT bounce. If your Bounce Rate is 70%, that number is
calculated using only 30% your overall traffic.
43. Typical Sales Conversion Funnel
■ Acquisition: building awareness & acquiring user interest
■ Behavior: when users engage with your organization
■ Conversion: when they become a “customer” and transact
45. Segments
■ Customizable subsets of visitors based on user, session, or page info. Examples:
■ Mobile Traffic
■ Single Session Users
■ Female users 35-44 in California
■ Users who’ve returned this week
■ Can be added to any report and work retroactively
48. Filters
■ Use them to exclude your organization from
your traffic, to ensure you are only seeing data
on your real customers.
■ Remove query parameters that are polluting
your reporting
■ Once data is filtered out, you can’t get it back
49. Views
■ Only Data from point of creation forward
■ The default View is called “All Website Data.”
Rename this to “raw data” or “yoursite.org raw data”
■ Have at least 3 views for every account:
1. Raw Data
2. Master View
3. Test View
50. Site Search
Ensure that you have enabled site
search in each of your views. This the
most specific information about user
intent you are likely to get.
Look for the parameter after the
question mark.
ex:
https://www.yoursite.com/en/search
?query=best+charity&Search+Submit
51. UTM Parameters in URLs
Sending out emails and are active on social media but
your main source of traffic is Direct? Time to use UTM
parameters in all your links.
UTM codes help Google Analytics understand in a
standardized way where traffic is coming from and
what campaign it belongs to.
https://www.kalamuna.com?utm_medium=social&utm_source
=twitter&utm_campaign=Holiday
52. UTM links should seek to answer the following
1. Where is the traffic coming from?
2. How is it getting to me?
3. Why is it coming to me?
Required
55. Explain it
■ Outbound strategies for automated marketing
■ Multi-touch strategies like email drip campaigns
■ Robocalls
■ Direct mail campaigns
■ Fighting the spam/junk label
56. Example Email Series for New Non-Donors
Thanks for signing up Welcome to our
Community
Take a Survey
Attend an Event Support our Work
57. Types of Campaigns
BLAST DRIP NURTURE
■ Manual
■ Single Event
■ Automated
■ Passive Path
■ Pre-scheduled
■ Sequential
■ Educational
■ Automated
■ Active Path
■ Triggered by Engagement
■ Goal: Conversion
■ Content tailored to
interests/needs
https://www.slideshare.net/kleinerperkins/2016-internet-trends-report/124-KPCB_INTERNET_TRENDS_2016_PAGE124Hound
claim your Google My Business listing.
Emphasize structured data
Rethink keywords
https://www.slideshare.net/kleinerperkins/2016-internet-trends-report/124-KPCB_INTERNET_TRENDS_2016_PAGE124Hound
claim your Google My Business listing.
Emphasize structured data
Rethink keywords
AM
We organize, speak at, and sponsor events in the Drupal community
We organized a large scale Funeral with a New Orleans Jazz band through the city and to a ceremony where the Drupal founder and other key members spoke
We gave our money away to charity instead of producing conference land-fill - #drupal4good
Details forthcoming; don’t dive in to clients individually
I first got hooked on data visualizations in building http://directory.occupy.net to tell a story of how we were all connected in this struggle beyond borders. It was a huge international data project and volunteer run team project.
Tony Robbins
Once you are clear about what you want people to do on your site, and set up Google Analytics to track that behaviour, everything else about using this tool will make much more sense.
Experts have estimated that Google Analytics is used on 30+ million sites.
Poor CTAs loose donors
Crazyegg example
interactive map visualizes the Cash patient data spans the Bay (and beyond)
Google has let you set up dashboards for a long time, but sharing the information requires access to the account. That isn’t always possible, or sometimes people get lost finding the reports.
You can PDF the reports and even send them out monthly. But, what if your recipient wants specific information. You’re inevitably emailing screenshots back and forth.
Data gets stale, and is less actionable.
Sending someone to GA can be scary. Overwhelming. Confusing.
The interface keeps changing and so does the logo.
(note: change is good, and the product keeps improving, but it can be disorienting for c-level people)
You can create extra fields to merge and process data into a format that better suits your reporting needs
Here, we normalize the self-reported location data from Twitter profiles to better understand who is local vs not in our report.
GDS has a ecosystem of free and paid connectors to many services, and an API you can use to build you own.
Dimensions and Metrics are the building blocks of GDS report widgets
Here’s an example that uses a google spreadsheet to generate dynamic reports
https://datastudio.google.com/u/0/reporting/1FzACAskLEzrYU2LcyzNjN4OGH1FjfTBi/page/Q47F
Supermetrics = connections to put things in sheets
If GDS isn’t your thing, take a look at Databox (http://databox.com), you can do a lot on the free tier and there are many groovy templates to choose from. These are responsive too, unlike GDS reports, and will go full-screen to create peaceroom displays that can motivate your team’s performance.
Example analytics dashboard template from databox
Another example analytics dashboard template from databox
Example Twitter dashboard. You can password protect a report, like this one:
https://app.databox.com/datawall/0c1ee5c278557389ce15e8a7ede6275005a8d2dcc
And that doesn’t require a google powered email to access (kala)