Are you ready for the transition to Google Analytics 4? This new tracking system affects all hotel businesses, so it's important that your hotel is prepared before the July 2023 deadline. In this video, we will show you how to get your hotel ready with Google Analytics 4 and how it will impact your direct bookings and reporting. We'll provide tips and advice on steps you can take now to ensure a successful transition. Learn how to get your hotel ready for Google Analytics 4 today!
Learn how the new GA4 tracking will impact your hotel's direct bookings and reporting, and what steps you can take to ensure a smooth transition before the July 2023 deadline.
Getting Your Hotel Ready for the Shift to Google Analytics 4.pptx
1. GETTING YOUR HOTEL READY
FOR THE SHIFT TO GOOGLE ANALYTICS 4
Presented by: Lyles Armour
2. LYLES ARMOUR
Marketing Director | 12 Years
I love long walks on the beach… jumping off rooftops, and swimming in
tunnels.
Other actual true fun facts:
• I believe ice cream tastes better slightly melted.
• I eat plain potato chips, sometimes with hot sauce!
• My kids are my joy… and knee pain, backs starting to hurt…
• I love marketing more than my wife. This is a joke, you can smile.
• The Dallas Cowboys are my favs, followed by the Denver Nuggets, and
then Lebron James.
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3. WHAT’S ON TAP FOR TODAY
• About rezStream
• Getting Your Hotel Ready for the Shift to Google
Analytics 4
1. Why Google Analytics 4 (GA4) was created
2. Differences in Universal vs. GA4
3. Out-of-the-box reports GA4 provides
4. Custom reports that you might want to create
5. Things to do before July 2023
• Webinar Special Offer
rezStream Better Lodging Simplified
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4. ABOUT
rezStream Better Lodging Simplified
rezStream simplifies day-to-day operations and helps business
attract travelers with digital marketing, reservation software,
online booking engine, and web site design services
Since 2005 we’ve partnered with small to
medium-sized independent lodging properties in
the US.
Our goal is to work WITH our customers to create
easier ways for them to manage their businesses
and improve their ability to increase revenue.
A small company of 24 caring and passionate
individuals and hospitality professionals.
View ourselves as an extension of your team.
100 years of combined industry experience.
Suite of solutions focused on helping
independently-owned properties.
TEAM | CARE | KNOWLEDGE | PASSION | TRUST
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6. rezStream Better Lodging Simplified
POLL QUESTION
Who is responsible for keeping your Google Analytics account up to date?
6
7. THE HISTORY
OF GOOGLE
ANALYTICS
1ST GENERATION
Urchin from Google (urchin.js) – This is
the origin on the utm parameters you see on
some URLs.
rezStream Better Lodging Simplified Images provided by onward.justia.com
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8. Google Analytics Synchronous Code (ga.js) – Now we’re
starting to track e-commerce transactions (reservations).
rezStream Better Lodging Simplified
Google Analytics Asynchronous Code (ga.js) – Allow pages
to load faster, improve data collection and accuracy.
Images provided by onward.justia.com
THE HISTORY
OF GOOGLE
ANALYTICS
2ND GENERATION
8
9. Analytics Tag (analytics.js) – In-depth information about user
behavior. Ability to track the same user across different devices.
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Global Site Tag (gtag.js) – Simplify code usage. Allowing you
to combine all forms of Google services under one script
(Google Analytics, Google AdWords).
Images provided by onward.justia.com
THE HISTORY
OF GOOGLE
ANALYTICS
3RD GENERATION
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10. So, why Google Analytics 4 (GA4)
?
1. To unify reporting of apps and
websites.
2. To simplify how events are
captured.
3. To enhance privacy controls
and cookieless measurements.
4. To help provide predictive
guidance without complex
models.
rezStream Better Lodging Simplified Images provided by onward.justia.com
THE HISTORY
OF GOOGLE
ANALYTICS
4TH GENERATION
10
14. SESSIONS
A session is a group of interactions with your website that take place within a given
time frame.
rezStream Better Lodging Simplified
What it WAS in
Universal Analytics
What it is NOW in
Google Analytics 4 (GA4)
Starts when a user
views a page on your website.
Ends (times out) after
30 minutes of user inactivity.
1
• Multiple pageviews, events, social
interactions, and booking transactions.
• Ends after a 30-minute period of inactivity
or when another qualifying event occurs.
3 =
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15. PAGEVIEWS = SCREENVIEWS (FOR APPS)
Page views in Universal Analytics translate to Page Views in Google Analytics 4 (GA4).
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16. EVENTS
HOW ARE THEY DIFFERENT
Universal Analytics events track a
Category, Action, and Label and
which is its own hit type.
Google Analytics 4 events have no
notion of a Category, Action, or
Label, and track everything as an
event!
View Google’s Recommended Events here!
Everyone gets an
event!
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17. PARAMETERS
What is a Parameter?
Parameters are additional
pieces of information that
share more specifics about
the action the user took.
By default, you can log up to 25 parameters with
each event and GA4 will record:
• Language
• page_location
• page_referrer
• page_title
• screen_resolution
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20. ENGAGEMENT RATE / BOUNCE RATE
An engaged session
Lasts longer than 10 seconds
Has a conversion event OR at least 2 pages or screen views.
Engagement Rate =
# of engaged sessions
Total #of sessions
In simple terms, if the
engagement rate in GA4 is
25%, then the bounce rate is
75%.
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21. CONVERSION TRACKING
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In GA4, a conversion is any interaction or occurrence that's valuable to your property.
For example, a traveler booking a room, submitting a form, or
subscribing to your newsletter are examples of common conversions.
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22. What about my UTM parameters on URLs?
Yes. These still work!
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23. rezStream Better Lodging Simplified
You guessed it, the rezStream booking engine supports GA4!
REVENUE
TRACKING
Just like all the other Google
Analytics script changes, your
booking engine provider must
support GA4 in order for you to track
your online reservations to the
source.
---
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26. REPORTS ACQUISITION OVERVIEW
The Google Ads campaigns report shows how effective your ads are at driving traffic and
conversions.
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27. REPORTS ACQUISITION USER
Shows how new users find your website for the first time.
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28. REPORTS ACQUISITION TRAFFIC
Shows where new sessions came from, regardless of if they are new or returning.
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30. REPORTS ENGAGEMENT EVENTS
Shows how many times each event is triggered.
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31. REPORTS ENGAGEMENT LANDING
PAGES
Shows you the first page a visitor lands on when they visit your website.
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35. REPORTS USER DEMOGRAPHICS
Shows users by age, location, language, gender, and their interests.
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36. REPORTS USER TECH
Shows the technology people use such as platform, operating system, and screen
resolution.
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38. HOW TO CREATE A
CUSTOMIZED DETAIL REPORT
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39. EXPLORE
Dynamic custom reports
A collection of advanced
techniques that go beyond
standard reports to help
you uncover deeper
insights about your
customer’s behavior.
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45. ADVERTISING ATTRIBUTION MODEL COMPARISON
Compare how different attribution models impact the valuation of your marketing channels.
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48. On July 1, 2023, Universal
Analytics will no longer
process your website data.
• Universal Analytics reports will be
available for a period after July 1,
2023.
• New data will only flow into
Google Analytics 4.
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49. OTHER THINGS TO LOOK OUT FOR…
[UA→GA4] UNIVERSAL ANALYTICS VERSUS GOOGLE ANALYTICS 4 DATA
rezStream Better Lodging Simplified
Data Changes
• In Universal Analytics, a new campaign will start a new session
regardless of activity. In Google Analytics 4, a new campaign does
not begin a new session. This may lead to lower session counts
in your Google Analytics 4 property.
• Late hits (aren't sent immediately) may also be a factor. In
Universal Analytics, hits are processed if they arrive within 4 hours
of the close of the preceding day. In Google Analytics 4, events are
processed if they arrive up to 72 hours late. Because Google
Analytics 4 events are processed across a wider time range,
you may see higher session counts in your Google Analytics 4
property.
• Logged Google Analytics 4 events are uploaded automatically
when iOS apps are backgrounded. This is not the case in Universal
Analytics. As a result, iOS-related metrics may be significantly
higher in your Google Analytics 4 reports.
Data Thresholds
49
50. 1. Setup GA4 account alongside Universal account
• Ensure revenue tracking is in place. Again, your PMS
provider determines if this is possible.
• Link your accounts; Google Search Console and Google
Ads for additional reporting.
• Use the Setup Assistance built-in Google Analytics.
2. Export Universal data while you can
• Think about pulling from 2019 due to the crazy years
we’ve had to get as close to an apples-to-apples
comparison.
3. Review your reports regularly
• Consult with your team, review reports, and outline what
you need to build to make better decisions.
4. Know what “conversions” mean to your property
• A room being booked, gift card purchased, newsletter
signup, etc.
rezStream Better Lodging Simplified
THINGS TO DO BEFORE
JULY 1, 2023
50
51. CHECK OUT OUR
EDUCATION
CENTER
rezStream Better Lodging Simplified
For upcoming and past webinars, industry
blogs, and downloadable resource guides.
www.rezStream.com/education/
51
52. WEBINAR SPECIAL
OFFER
DIGITAL MARKETING
rezStream Better Lodging Simplified
20% off Elite Level Marketing Plans
Work with our team and build a custom robust strategy to capture more guests
by incorporating your budget, goals, timeline, tactics, and more.
Tactics to select from include:
Search Engine Optimization (SEO)
Email Marketing
Metasearch
Pay-Per-Click (PPC)
Social Media
Blogging
Booking Abandonment
Remarketing
Offer Ends: June 2023
52
Get Started with a Free Marketing Analysis
53. THANK YOU
Please forward all questions
regarding this webinars to:
• Sales@rezStream.com
• (303) 872-0220
rezStream Better Lodging Simplified
Schedule a Demo
53
Editor's Notes
So today’s topic is Google Analytics 4 … yay reports… data…
And, why this can be a dry topic, I’ve tried to sprinkle some moments to hopefully put a smile on your face along the way.
So for today, here’s what’s on tap as I guide you through today’s session.
[Read slide]
[Read Slide]
#1 Why Google Analytics 4 (GA4) was created
Before the story, let’s take a quick poll… who is responsible for keeping your Google Analytics account up to date?
Answers
Me, that’s why I am here
rezStream’s marketing team
I hired an agency, not named rezStream
Wait, someone, is supposed to keep it updated
https://onward.justia.com/history-of-google-analytics/
Aweee… look at the cute baby!
Urchin began under the company Quantified Systems which was founded in 1995
in 2005, rebranded to “Urchin from Google”, and became a free service.
discontinued the product in 2012.
https://onward.justia.com/history-of-google-analytics/
Baby boy is growing up...
2007, ga.js.
The benefits were new tracking functionality,
Track e-commerce transactions in a more readable way and offering more control over tracking services.
https://onward.justia.com/history-of-google-analytics/
By 2012 the world has truly become data obsessed, and Universal Analytics offered new tracking codes for websites and tools that gave more in-depth information about user behavior in addition to various back-end improvements
https://onward.justia.com/history-of-google-analytics/
Other than Google changing things just because here are the reason to get excited about GA4.
Before we move on to the difference between UA and GA4, let’s take another poll.
Who is responsible for keeping your Google Analytics account up to date?
Answers
Yes, just want to see if I missed anything.
No, hope it isn’t too late!
Not sure, how do I find out?
I believe rezStream took care of this for me.
#2 Differences in Universal vs. GA4
Example…
Say Joe, arrives on your site, in UA it starts counting from that moment. If 30 minutes pass without any kind of interaction from Joe, the session ends. However, every time Joe interacts with an element (like an event, social interaction, or a new page), UA resets the expiration time by adding an additional 30 minutes from the time of that interaction.
Now in GA, its one continuous flow and regardless of what Joe does (engages with an event or goes to a new page) it all still counts as the same session. ONLY after 30-mins does this session end, and a new one could start Joe. So, if Joe comes back to your website in 29 mins and clicks back to your specials page (after being distracted with kids), it will count as the same session.
Sources:
https://support.google.com/analytics/answer/9964640
https://support.google.com/analytics/answer/2731565
[Read Slide]
In GA4 there are Types of events
Automatically collected events are events that are collected by default when you set up Google Analytics on your website or app.
Enhanced measurement events are events that are collected when you set up Google Analytics on your website or app and enhanced measurement is enabled.
Enhanced events include page views, scroll, outbound link click, site search, video engagement, file download and form interactions.
You must implement the following types of events in order to see them in Analytics:
Recommended events are events that you implement, but that have predefined names and parameters. These events unlock existing and future reporting capabilities.
Custom events are events that you define. Make sure you only create custom events when no other events work for your use case. Custom events don't show up in most standard reports so you need to set up custom reports or explorations for meaningful analysis.
Sources
https://support.google.com/analytics/answer/9322688
So Events no longer track hit types, but do allow for you to send over parameters!
Sources:
https://developers.google.com/analytics/devguides/collection/ga4/event-parameters?client_type=gtag
https://stuifbergen.com/2022/01/making-sense-of-event-parameters-in-ga4/
So, Parameters are basically like a “Category, Action, and Label” but not ….
https://developers.google.com/analytics/devguides/collection/ga4/event-parameters?client_type=gtag
Tell your house keepers they won’t fine them under the sheets.
The HIGHER THE ENGAGEMENT RATE the better your reach is with your target audience.
What does it tell us?
High engagement rate can lead to increased conversion rates, such as more sign-ups, reservations, or other desired actions (planning guide downloads).
Engaged visitors find your content valuable and are interested in what you offer. In other words, how happy does your website make them?
Low engagement rates provide opportunities to identify areas for improvement. Are you providing valuable information and meeting expectations?
Sources
https://support.google.com/analytics/answer/12195621?hl=en
https://www.dataflo.io/metricbase/engagement-rate-in-google-analytics-4
So, anytime you want to record a conversion, simply mark an event that measures the interaction as a conversion.
Purchase a gift certificate
Downloads an itinerary guide
Submits a wedding RFP
UTMs are for tracking data on traffic coming to your website or landing page from external sources (like your social profiles), directory listings, GMB profile, etc.…
The reports we’ll be reviewing will show revenue numbers.
It is important to note that your WEBSITE and BE/PMS must support GA4 in order for you to have the ability to track revenue.
#3 Out-of-the-box reports GA4 provides
Before we jump into the reports, let me remind you of a few things:
Reports to monitor traffic, investigate data, and understand your users and their activity.
Once Analytics starts to receive data, the data appears in the Realtime report and then in your other reports shortly after.
Buckle up everyone, it’s going to be a long ride.
Like he’s just going to keep sharing screenshots of reports…?
Answers
Yup, glad someone said it.
Do I have to answer…
No, this is great, keep going!
What about #4 Custom reports? Let’s take a quick look…
Graphic for creating a Custom Report in GA.
Source:
https://support.google.com/analytics/answer/10445879
Go further with customer reports using the build in Workspaces GA4 has built-in to is platform.
When you want to explore data in more detail, you can use explorations to:
quickly perform ad hoc queries
easily configure and switch between techniques
sort, refactor, and drill down into the data
focus on the most relevant data by using filters and segments
create segments and audiences
share your explorations with other users of the same Google Analytics property
export the exploration data for use in other tools
Source:
https://support.google.com/analytics/answer/7579450
Let’s take a look an example…
In this example you can see I highlighted a path… Homepage BE Search BE Select BE Confirm BE Thank You
In just this example and path alone, this property is seeing a
1402/9161 = 15% conversation rate homepage to BE, Step 1 BE Search
50/1402 = 3.56% conversion rate from, Step 1 BE Search Step 4 BE Thank You
While this is a snapshot of just one customer journey it shows you in a clear way what folks are doing on your site and how they are converting.
The conversion rate for a BE should be 3%+ (once the enter they should never leave). Hopefully you’re using booking abandonment tools to recapture those folks falling out of the BE and push offers to them down the road.
Source:
https://hoteltechreport.com/news/we-need-to-talk-about-conversion
https://www.hotel-spider.com/en/insights/optimizing_hotel_booking_engine
Another report, showing you overlap of segments.
Source:
https://support.google.com/analytics/answer/9304353
The new section known as the “Advertising” workspace, provides a deeper understanding of the “guest journey”.
The Advertising snapshot report allows you to quickly check your business metrics and then dig deeper into the areas you want to explore.
Your GA4 account must be linked to Google Ads in order to access these additional reports.
Source:
https://support.google.com/analytics/answer/10607798
Use these reports to answer questions like:
What roles did referrals, searches, and ads play in conversions?
How much time passed between a customer's initial interest and their reservation?
What are the most common paths customers take leading up to completing a booking?
Source:
https://support.google.com/analytics/answer/10607798
An attribution model is the rule, or set of rules, that determines how credit for sales and conversions is assigned to touchpoints in conversion paths. Learn more about the available attribution models.
The top of the data visualization shows how much conversion credit each segment of the conversion path receives using the selected attribution model. The segments are defined as follows:
Early touchpoints: The first 25% of touchpoints in the path rounded to the nearest whole number. This segment is empty if the path has only one touchpoint.
Mid touchpoints: The middle 50% of touchpoints in the path. If the path has <3 touchpoints, this segment is empty.
Late touchpoints: The last 25% of touchpoints in the path rounded to the nearest whole number. If the path consists of just one touchpoint, this segment gets all the conversion credit.
Model Examples
Data-driven: Data-driven attribution distributes credit for the conversion based on data for each conversion event. It's different from the other models because it uses your account's data to calculate the actual contribution of each click interaction. Attribution uses machine learning algorithms to evaluate both converting and non-converting paths. The resulting Data-driven model learns how different touchpoints impact conversion outcomes. The model incorporates factors such as time from conversion, device type, number of ad interactions, the order of ad exposure, and the type of creative assets.
Paid and organic channels last click: Ignores direct traffic and attributes 100% of the conversion value to the last channel that the customer clicked through (or engaged view through for YouTube) before converting. See examples below of how conversion value is allocated:
Paid and organic channels first click: Gives all credit for the conversion to the first channel that a customer clicked (or engaged view through for YouTube) before converting.
Paid and organic channels linear: Distributes the credit for the conversion equally across all the channels a customer clicked (or engaged view through for YouTube) before converting.
Paid and organic channels position-based: Attributes 40% credit to the first and last interaction, and the remaining 20% credit is distributed evenly to the middle interactions.
Paid and organic channels time decay: Gives more credit to the touchpoints that happened closer in time to the conversion. Credit is distributed using a 7-day half-life. In other words, a click 8 days before a conversion gets half as much credit as a click 1 day before a conversion.
Google paid channels last click: Attributes 100% of the conversion value to the last Google Ads channel that the customer clicked through before converting. If there is no Google Ads click in the path, as in Example 6, the attribution model falls back to paid and organic channels last click.
The top of the data visualization shows how much conversion credit each segment of the conversion path receives using the selected attribution model. The segments are defined as follows:
Early touchpoints: The first 25% of touchpoints in the path rounded to the nearest whole number. This segment is empty if the path has only one touchpoint.
Mid touchpoints: The middle 50% of touchpoints in the path. If the path has <3 touchpoints, this segment is empty.
Late touchpoints: The last 25% of touchpoints in the path rounded to the nearest whole number. If the path consists of just one touchpoint, this segment gets all the conversion credit.
Model Examples
Data-driven: Data-driven attribution distributes credit for the conversion based on data for each conversion event. It's different from the other models because it uses your account's data to calculate the actual contribution of each click interaction. Attribution uses machine learning algorithms to evaluate both converting and non-converting paths. The resulting Data-driven model learns how different touchpoints impact conversion outcomes. The model incorporates factors such as time from conversion, device type, number of ad interactions, the order of ad exposure, and the type of creative assets.
Paid and organic channels last click: Ignores direct traffic and attributes 100% of the conversion value to the last channel that the customer clicked through (or engaged view through for YouTube) before converting. See examples below of how conversion value is allocated:
Paid and organic channels first click: Gives all credit for the conversion to the first channel that a customer clicked (or engaged view through for YouTube) before converting.
Paid and organic channels linear: Distributes the credit for the conversion equally across all the channels a customer clicked (or engaged view through for YouTube) before converting.
Paid and organic channels position-based: Attributes 40% credit to the first and last interaction, and the remaining 20% credit is distributed evenly to the middle interactions.
Paid and organic channels time decay: Gives more credit to the touchpoints that happened closer in time to the conversion. Credit is distributed using a 7-day half-life. In other words, a click 8 days before a conversion gets half as much credit as a click 1 day before a conversion.
Google paid channels last click: Attributes 100% of the conversion value to the last Google Ads channel that the customer clicked through before converting. If there is no Google Ads click in the path, as in Example 6, the attribution model falls back to paid and organic channels last click.
We don’t have a GA4 exclusive offer as we believe it is a small piece of your marketing strategy pie, so today’s offer is about helping you add real value through the utilization of our marketing services.