Success Of Four-Day Workweek: An Interview With SEJ CEO, Jenise Uehara via @sejournal, @MattGSouthern

A new study by 4 Day Week Global explores the feasibility and benefits of a four-day workweek.

The research follows 200 companies through year-long pilot programs to evaluate the impact of reduced hours on productivity, employee satisfaction, and business performance.

The findings suggest adopting a four-day schedule while maintaining pay can promote work-life balance, improve health, and even enhance productivity.

Jenise Uehara, CEO of Search Engine Journal, provides a unique perspective, sharing her company’s transition from doubt to success with a four-day week.

Under her leadership, the business saw increased sales with the same staffing, demonstrating the potential of a four-day schedule to sustain or improve results.

Her insights and broader study observations present a compelling case for rethinking traditional schedules favoring a more balanced, efficient, and sustainable approach.

About The Study

Beginning last year, 4 Day Week Global guided approximately 200 organizations through pilot programs and is running further quarterly global pilots in 2023.

The approach is based on the 100-80-100 model designed by Charlotte Lockhart alongside the Perpetual Guardian trial in 2018.

This model ensures 100% of the pay for 80% of the time in exchange for a commitment to delivering 100% of the output.

4 Day Week Global aims to make a four-day week the new default and reduced working time the new standard.

A Closer Look At The Result

The six-month trial of a shorter work week resulted in employees working nearly five fewer hours per week on average compared to the baseline of 38 hours.

By the end of the trial, the average work week had declined to just under 33 hours. Employees reported positive experiences during the shortened work weeks, rating their satisfaction a 9 out of 10 after the trial ended.

Over the 12-month study period, employees noted improvements in their self-assessed physical and mental health. They attributed these gains to an enhanced work-life balance enabled by the reduced hours.

According to lead researcher Professor Juliet Schor of Boston College, the continued reduction in hours didn’t come at the cost of increased work intensity.

Instead, she notes, “people operated more efficiently and continued to improve these capabilities as the year progressed.”

Impressive Outcomes Across The Board

The study looked at 41 companies in the US and Canada that tested out a four-day workweek for six months. The feedback on the trial was exceptionally positive.

None of the companies plan to return to requiring employees to work five days a week.

On a scale of 1 to 10, the companies rated the overall experience an 8.7. They were happy with business productivity, performance, and the new ability to bring in talented employees.

Throughout the pilot program, average revenue went up by 15%.

Employees had similar positive experiences during the four-day workweek trial. An overwhelming 95% of employees wanted to continue with the shortened week after the trial ended.

Additionally, 69% said they felt less burned out, and 40% reported decreased stress levels.

Further, 42% of workers engaged in more environmentally conscious behaviors during the trial, like recycling, purchasing eco-friendly products, and choosing to walk or bike instead of driving.

Search Engine Journal CEO Reflects On Success Of Four-Day WorkWeek

When Search Engine Journal shifted to a four-day work week last year, Uehara admitted she had reservations.

However, the shortened schedule exceeded expectations, improving employee satisfaction and boosting revenue.

The four-day schedule was implemented after extensive research and planning by staff. A committee of employees studied best practices for maintaining productivity while assessing workflow and time management.

Their efforts paid off. The company has seen a 22% increase in sales compared to the previous year, while headcount has remained steady.

Uehara states:

“I’m happy to report that today, we’re reaping the rewards. Sales have increased 22% this year, compared to the same period in 2022.”

Uehara credits improved productivity and streamlined work practices, enabling the same staff to take on increased demand.

“We have fulfilled the demand increase with little difficulty but roughly the same headcount. In 2022, when we had a 5-day week, this increase would have broken us.”

In an interview, we delve into how she kept productivity up while adopting a four-day workweek, the impact on work-life balance, and her advice to other companies.

Keeping Productivity Up

Uehara highlighted two significant strategies in addressing the challenge of sustaining productivity despite the shortened work time.

First, the team experimented with various productivity tools like Google Suite, Slack, Asana, and Loom videos.

“We adopted the ones we liked and built them into our accepted and encouraged work practices. Tools like scheduled focus time, asynchronous communication via Google Suite, Slack, Asana, and Loom videos in place of live meetings or huddles.”

The second strategy involved self-reflection to address control, power, and perfectionism issues.

She explains:

“Hoarding power and control is exhausting, time-consuming, and causes disengagement with your team members. Perfectionism is not the same as excellence; it’s a mask for control and leads to burnout.

I am so lucky to have a team willing to get introspective and experiment with letting go of control, pushing authority and empowerment downwards and outwards. Letting go in the right way gives you more time to do more productive things.”

Easing Clients’ Concerns

Initially, clients weren’t informed of the schedule change to avoid concerns.

She explains:

“Our advertisers had zero concerns because we made the decision not to tell them beforehand! Our goal was to seamlessly maintain our high standards for sponsor success as we transitioned.

It was a bit of a gamble, I admit. But we made it work, and our clients remained happy with the level of service we continued to provide on a four day week program.”

Changes In Work-Life Balance

For the Uehara personally, the shortened week has improved work-life balance.

She had to re-evaluate her work methods, transition from multi-tasking to a more prioritized approach, and implement changes to how she conducted meetings.

“Along with everyone else here, I had to take a critical eye on how I was spending my time. I realized that while my company had grown, my work methods had not scaled.

I was multi-tasking constantly, responding to every ad hoc request or message in real time. This worked okay when we were a small group of oldtimers but not so much in a team of 34.

When I discovered that interruptions are one of the top killers of productivity, I knew I needed to make changes.”

Using Time More Efficiently

Uehara outlines the changes she made to use her time more efficiently:

“Today, I take a prioritized approach to my inbox. I have asked that all requests go into our project management platform so I can keep track of them. I work off a list of to-dos each day. Taming the urge to address every notification or ask has made me more responsive to my team, not less.”

Additionally, Uehara became more mindful of how she scheduled her team’s time:

“I looked at how I showed up for meetings. I called meetings with minimal or no agendas communicated beforehand, saying we’d figure it out in real time.

When I started to notice that we were wasting the first part of the meeting defining why we were there, I knew I had to make a change. This became especially apparent with team members in 5 time zones and now, a 4 day week.

Today, I take a mindful approach to every meeting: if I’m the organizer, I put a lot of effort into selecting only must-have attendees, documenting “what success looks like” agendas, and keeping the meeting scope tight and on topic.

You know that moment at the end of the day when you take a quick mental survey of what you accomplished? And how great it feels when you can look back and say to yourself, “I got a lot done today.” I have a lot more of those days in a 4-day week.”

Benefits Of Fridays Off

Speaking about the effects of the new schedule on her life, she said:

“As far as the ‘life’ part of the balance, I feel great about that, too. I can do fun things or run errands on Fridays, and it feels great to know I still have the weekend, too.

Having said that, I still work here and there on off-days or off-hours. But I did that with a five-day week, too; the difference is that the work I’m doing is higher quality and more mindful because of the shift in mindset and how we work as a company.”

Sustainability

When asked about the long-term prospects of sticking to the four-day schedule, the Uehara is optimistic, stating:

“As long as we’re able to maintain productivity levels, I’m very optimistic that we will continue to make it work.”

Advice To Other Companies

For other companies considering a four-day week, Uehara advises involving staff early in the exploration process and allowing them to lead through implementation.

She also emphasizes setting a program goal and measuring success against that goal.

In her words:

“I think it’s absolutely critical to invite your staff into the exploration process early and let them lead all the way through implementation.

Your front-line folks know what it will take to make this work. They need to educate themselves on best practices so they can give recommendations and feedback and then help with the implementation. We could not have done this without our staff-led 4DW committee.”

Measuring Success

On measuring the success of a four-day workweek initiative, Uehara recommends the following:

“I highly recommend setting a program goal and measuring success throughout that goal. For us, it was maintaining the 100/80/100 rule: “100% of the productivity and the pay, in 80% of the time”.

It’s easy to get lost in the weeds occasionally with an unconventional shift like this. Most people do not have experience with a four-day week, and it’s not as easy as just closing the office on Fridays. You’ll need to remind your people periodically why you’re doing this, and you need a yardstick to measure whether the program is working or not.”

In Summary

While more research is needed, this study shows that transitioning to a four-day workweek can benefit employees and businesses.

Companies considering this change should thoroughly analyze their operations and workforce needs to determine if such a schedule is feasible.

If adopted, leadership must manage the transition carefully while monitoring productivity and morale.

With proper planning and execution, the four-day week presents a promising roadmap to a more sustainable future of work.


Featured Image: Dmitry Demidovich/Shutterstock

10 Great Google Analytics Alternatives via @sejournal, @JulieJoyce

Are you looking for an alternative (or addition) to Google Analytics?

Do you have concerns over privacy?

Are you looking for something simpler?

Do you just like trying new tools?

If so, here are 10 tools that offer a nice alternative.

They may not be as robust as Google Analytics, but sometimes you just want something quick and easy. All of these tools also have free trials and/or plans.

 1. Matomo

MatomoScreenshot from Matomo, June 2023

Matomo, formerly Piwik, lets you import historic Google Analytics data and serves as a full-service web analytics tool.

This system provides you with heatmaps, A/B testing, funnels and goals, session recordings, and many other conversion optimization features.

It promises 100% data ownership and user privacy protection.

Users can host Matomo on their own servers if they’re worried about sensitive data, but the company also offers cloud-based hosting on servers located in Europe.

At present, there are paid advertising integrations available for Google Ads, Microsoft Advertising, and Yandex Ads. There are also no data limits with Matomo.

There is a free trial with prices for the on-premise hosting product starting at $0 a month for lite use and $23 per month for using the cloud. Cloud use comes with email support.

With the on-premise plan, users can choose which features they want outside of the standard ones, which range from $29/year for an activity log to SAML integration for $579/year, and there are additional robust paid support subscriptions.

2. Woopra

WoopraScreenshot from Woopra, June 2023

Woopra is a tool providing information for product, marketing, sales, and support teams, as it tracks users throughout their journey on the site.

It has unique custom tracking capabilities and over 30+ integrations with products such as Salesforce, Google Ads, Zapier, Mailchimp, and more.

It can also do real-time, on-the-fly things like sending a message to a sales Slack channel right when a new user signs up.

There is a free trial and a free plan with more robust plans starting at $999 a month.

You can contact the company for a quote on an Enterprise solution.

3. GoSquared

GoSquaredScreenshot from GoSquared, June 2023

GoSquared provides analytics and a live chat to help boost sales. You can check the browsing activity that led a user to your site, and, if they give you their email address, see more of their social activity.

Pricing begins at $9/month for a starter package limited to three projects. Middle-tier packages are $24/month for the Standard and $49/month for the Pro, with a Scale package being $99/month.

Currently, new users can receive their free ebook on the fundamentals of web analytics.

GoSquared offers users unlimited team sharing, email reports, unlimited data retention, UTM campaign tracking, and much more.

It has integrations with Salesforce, Slack, Zapier, Twitter, Shopify, and Squarespace, among other companies.

It also has a climate-conscious email marketing tool that is purported to reduce and offset your carbon footprint called EcoSend – also available with a free trial.

4. Wide Angle

Wide AngleScreenshot from Wide Angle, June 2023

Wide Angle Analytics integrates with Wix, Ghost, Squarespace, WordPress, and more.

The platform is personal data ready – meaning you can process certain private information with user consent.

Pricing involves three levels: the Founder plan is €9.99 per month, the Team plan is €29.99 per month, and the Business plan is €89.99 per month.

While there is no set free plan, the brand is willing not to charge certain organizations that advance social causes.

5. Mixpanel

MixpanelScreenshot from Mixpanel, June 2023

Mixpanel lets you dive deep into your user’s behavior with live updates, all without using any SQL.

Current integrations include Braze, Convert, HubSpot, CallRail, and many more.

There is a free Starter package, a Growth package starting at $20/month, and an Enterprise package starting at $833/month.

For eligible startups less than 5 years old, it offers up to $50,000 in Mixpanel credits.

6. Heap

HeapScreenshot from Heap, June 2023

Heap shows you every single action by every user on your site and advises on what can be improved upon.

There are over 100 integrations available.

As more of a product analytics tool, Heap is designed to give data about products and how customers interact with them.

There is a free trial, a free plan, and Growth, Pro, and Premier plans that are custom priced.

7. StatCounter

StatCounterScreenshot from StatCounter, June 2023

StatCounter is a web analytics tool that can detect click fraud for paid ads. It also notifies you when an important visitor returns to your site.

With this tool, you can watch the entire user journey and identify possible issues with navigation, site structure, and flow. It integrates with Google Ads and tracks your landing page conversion rates.

It offers a free trial with a Free plan, a Premium plan for $18/month, and a Premium Plus plan for $28/month.

8. Publytics

PublyticsScreenshot from Publytics, June 2023

Publytics bills itself as the analytics tool for publishers, letting you easily monitor your editorial team to see which authors/categories are your best performing.

Its servers are hosted in Finland and Germany and boast an analytics script that is 45 times lighter than Google’s.

Pricing starts at €5 per month and is based on monthly page views.

9. Clicky

ClickyScreenshot from Clicky, June 2023

Clicky is a free web analytics platform offering a Pro version at $9.99 per month, a Pro Plus version at $14.99 per month, a Pro Platinum version at $19.99 per month, and a Custom version that the company will quote for you.

It says its bot detection is the best in the business and helps eliminate all the referral spam that can clog up data.

It also monitors your site and alerts you if it’s down. If you like old-school tools, this might be a winner for you.

Some premium features (heatmaps and uptime monitoring) are not available to lower-level plans.

Clicky also offers white-label analytics.

10. Leadfeeder

Lead FeederScreenshot from Leadfeeder, June 2023

Leadfeeder integrates your B2B marketing and sales data, tells you what pages companies are looking at, has a CRM, and can even email you when your dream company visits your site.

It looks like a great tool to help generate leads. It has live webinars and many downloadable guides and ebooks, which tell you how to maximize the use of its product.

There is a free trial and even a free basic plan, with pricing for bigger plans (for sales and marketing teams) starting at $199 a month. The free plan only retains a week’s worth of data, but the paid plan has no time limit.

Note: This product integrates with Google Analytics and uses that data, so it’s not a replacement but an enhancement that can help you hone in on the desired data you need.

You can use plug-and-play connectors or use its API to access LeadFeeder data in tools like Zapier, ZenDesk, Intercom, and Google Analytics.

The Takeaway

Google Analytics is powerful, and that’s not up for debate – but what do you have to lose by trying one, or some, of these tools out?

You might still need to use Google Analytics, but if you don’t need all that power, you may just find something that saves time getting the exact data you need.

More resources:


Featured Image: Andrey_Popov/Shutterstock

GA4 Migration Made Easy: 20 Resources For Google Analytics 4 via @sejournal, @kristileilani

Did you forget to complete your properties’ Google Analytics 4 (GA4) setup before the Universal Analytics (UA) deprecation on July 1?

GA4 Migration Made Easy: 20 Resources For Google Analytics 4Screenshot from Google Analytics, July 2023

If so, Google Analytics may have created a new GA4 property for you based on the settings from your UA properties. Or you may see a message at the top of your screen prompting you to complete the GA4 setup:

GA4 Migration Made Easy: 20 Resources For Google Analytics 4Screenshot from Google Analytics, July 2023

Either way, don’t panic. We’ve you covered!

Google Analytics 4 Guides

The following GA4 resources should help ease the forced migration from Universal Analytics to Google Analytics 4.

How To Properly Set Up, Read & Utilize Google Analytics 4

In this upcoming webinar on July 12, Drew Blumenthal, Founder & CEO of Digital Drew SEM, will teach you how to:

  • Set up GA4 correctly so you don’t miss out on crucial benefits.
  • Read and understand the new standard GA4 reports.
  • Apply this information to level up your strategy moving forward.

You will also get a detailed explanation of the new metrics that mean the most to your business.

Automatically Created Google Analytics 4 Properties

This article informs Google Analytics users that, due to the replacement of UA by GA4, they should transition before July 1, 2023.

Should users choose not to transition, Google offers to assist users by automatically creating a GA4 property and copying settings from Universal Analytics unless the user opts out.

However, it is recommended to migrate settings for more accurate configuration manually.

The page also provides detailed instructions on opting out of the automatic creation and managing settings if you have already created a GA4 property. It emphasizes that the automated GA4 properties will only have basic features, suggesting users explore and set up additional features according to their needs.

Make The Switch To Google Analytics 4

This page includes specific tips and tools for the GA4 migration, including the GA4 Setup Assistant and migration tools for goals, users, and Google Ads links.

It also addresses advanced setup needs that involve mapping custom events, migrating ecommerce measurements, importing data, linking to BigQuery, employing User-ID for cross-platform reporting, utilizing the measurement protocol, and referencing a guide to match Universal Analytics functionalities with GA4 features.

7 Common Google Analytics 4 Configuration Mistakes To Avoid

This article explores common GA4 configuration mistakes that could cause you to lose historical data, affect data reliability, and distort your conversion tracking.

By understanding the potential pitfalls now, you can ensure your website analytics will capture accurate data you can trust for business intelligence.

Introducing The Next Generation of Analytics

Here, Google introduces GA4 as the evolution of Analytics. In contrast to the session-based data used by the now deprecated UA, GA4 focuses on events and incorporates privacy features, including cookieless tracking and behavioral modeling.

Moreover, GA4 boasts predictive analytics without the need for intricate models and directly integrates with media platforms to facilitate targeted actions on your website or app.

Start by finding the best steps for getting started with Google Analytics 4. Then dive into guides about GA4 events, conversions, lead generation, reporting, ecommerce, and more.

Google Analytics 4 Event Tracking: How To Get Set Up

While GA4 automatically collects information about basic events like clicks, downloads, and page views, custom event tracking can be tailored to collect more comprehensive data about your website visitor activity.

This guide details what you need to know to set up custom event tracking in GA4 manually.

A Step-By-Step Guide To Creating Segments And Audiences In GA4 With Examples

The article provides a step-by-step guide to creating segments and audiences in Google Analytics 4, highlighting the improved audience creation capabilities and the ability to analyze user behavior across multiple devices.

It also explains the differences between segments and audiences and provides examples of user, session, and event segments.

GA4: The Good, The Bad, And The Alternatives

This analysis explores the pros and cons of using GA4, plus alternatives to Google that can help you track your website visitors to inform your marketing and advertising strategies.

The Latest Google Analytics News

In addition to the guides above, the following covers the latest news in Google Analytics 4 developments that could help you decide whether to switch to GA4 or look for alternatives.

Stay Calm, Track On

The transition to GA4 from UA may seem challenging, but it brings numerous advantages and enhanced features for marketers and analysts.

The more flexible audience builder, combined data from web and app views, and the ability to create comprehensive user profiles across devices offer valuable insights.

Despite the initial learning curve, embracing GA4 empowers businesses to gain a deeper understanding of user behavior, optimize marketing strategies, and make data-driven decisions for better results in the long run. We hope these resources help make the transition into the new version of Google Analytics easier!


Featured image: sdx15/Shutterstock

Try This ChatGPT Plugin To Learn About Your New GA4 Property via @sejournal, @kristileilani

As Google continues the countdown to deprecate Universal Analytics properties in less than 24 hours on July 1, Google Analytics users have little hope that there will be a reprieve.

Fortunately, there is a new way to get to know your new GA4 property and find your analytics data: ChatGPT plugins.

ChatGPT Plugin For Google Analytics 4

While searching for Google in the ChatGPT plugin store, I found a plugin that would interface with GA4.

google chatgpt pluginsScreenshot from ChatGPT, June 2023

The Avian plugin connects to analytics data from Google Analytics, Google Ads, Facebook Ads, Instagram Insights, and other digital marketing platforms. It enables users to retrieve, analyze, and interact directly with their advertising and analytics data through a ChatGPT.

According to Kyle Dayne, Founder, and CEO of Avian.io,

The Avian plugin allows small businesses to gain insights into their GA4 reporting without having to have enterprise-level data analysts to set up their dashboards on Google Analytics 4.

It reduces the technical expertise required to effectively use GA4 by allowing ChatGPT to do the hard work for the user.

How To Connect GA4 To ChatGPT

To get started, you will need a ChatGPT Plus account and an account with Avian.io (free for 14 days) to use the plugin to connect ChatGPT with your website and social analytics data.

When you install the plugin, you will be prompted to create one and authorize it with your ChatGPT account.

authorize chatgpt pluginScreenshot from Avian.io, June 2023

Once you’ve created your account and connected your GA4 property to it, you can start asking questions, like what does the plugin do?

chatgpt plugin for ga4 featuresScreenshot from ChatGPT, June 2023

Questions To Ask GA4 With The ChatGPT Plugin

From here, you can ask questions about visitor demographics, traffic acquisition, engagement, conversions, ecommerce purchases, and other data you can find in Google Analytics reports.

chatgpt analysis of ga4 dataScreenshot from ChatGPT, June 2023

Think of it like conversing with an assistant looking into your GA4 data with you, helping you get the answers you need about your website visitors without searching through the new user interface for the report or starting a new exploration.

AI-Powered Assistance For The New Google Analytics

As the deadline for deprecating UA properties looms, Google Analytics users may feel uneasy about switching to GA4. However, there is a glimmer of hope in the form of ChatGPT plugins.

By leveraging the power of ChatGPT plugins, users can retrieve, analyze, and interact directly with their advertising and analytics data without requiring extensive technical expertise.

While the responses may not always be flawless, the ChatGPT plugin simplifies obtaining information from multiple analytics sources. It can serve as a helpful assistant, aiding users in navigating their GA4 data.

In a time of transition and uncertainty, the ChatGPT plugin for Google Analytics offers a valuable tool to gain insights and make informed decisions about website and marketing strategies.

As more plugins are added daily, there will undoubtedly be further advancements for those who want to adjust to the evolving analytics landscape and fully utilize GA4 through ChatGPT.


Featured image: BigTunaOnline/Shutterstock

GA4: The Good, The Bad, And The Alternatives via @sejournal, @macuraa

In digital marketing, measuring success is all about the data – using a data-driven approach to track performance, identify developmental areas, and give you insight into your customer journey.

That’s the power of digital analytics, and more specifically, Universal Analytics – the free version of Google Analytics that currently dominates 86% of the market share.

Until now, that is.

That’s because Universal Analytics will be terminated as of 1 October 2023, making the new Google Analytics 4 (GA4) the only Google tool available for processing data and tracking website activity.

But what exactly is GA4?

Is it any better than Universal Analytics or worse, and are there any alternatives if you don’t want to migrate to it? Let’s take a look.

What Is Google Analytics 4?

While there are many guides to GA4 out there, we’ll give you a quick breakdown.

Up until October 2020, Universal Analytics was the default property type for websites – the go-to for digital analytics. However, this changed on 14 October 2020 when GA4 was released.

Now, a Google Analytics 4 property is the default when you create a property, making it the new generation of digital analytics.

But why? If Universal Analytics was so popular, why change it at all? Changes to online privacy policies for one, and changes in consumer behavior for another.

Add to that the need to view the customer journey in its entirety, and you have the basis for a new and improved analytics tool.

Now with all-new cross-platform tracking, you’ll be able to collect web and app data simultaneously, measuring user behavior across multiple platforms.

Add to this AI-driven predictive analytics, machine learning, data visualization, and a new focus on customer privacy, and you have the future of digital analytics.

What’s The Difference Between GA4 And Universal Analytics?

We know that GA4 can track activity across a web and app data stream, giving you a more complete view of user interactions than ever before. But in what other ways does the new Google Analytics differ from Universal Analytics?

A New Dashboard

Out with the old, in with the new – in this case, a new, more streamlined user interface or dashboard.

While it may take you a minute to come to grips with the new reporting interface, you’ll have more control, with buttons on the nav bar for the home page, reports, advertising, explore, configure, and library, with access to predictive-insights based on Google’s AI as well.

New Measurements

If Universal Analytics was all about page views, GA4 is all about events.

Instead of generalized data, you’ll have a more enhanced measurement that’ll give you a better understanding of how your users interact with your marketing campaigns, your mobile apps, and your website.

New Integration With Google Ads

If you’ve always wanted to measure your app and web integrations together, you’ll be pleased to see that’s one of the new insights GA4 provides.

You can track your app and web conversions across Google Ads and various other platforms, from social media to email. It’s an all-in-one analysis hub that’ll give you an at-a-glance picture of your performance across multiple channels, changing how you collect data.

New Metrics

From engaged sessions to engagement rate, engagement time, and more, GA4 uses new metrics to track your customer journey.

While there is a learning curve involved, having new data streams means having a complete guide to the behavior and interactions of your active users.

New Predictive Insights

With AI metrics like purchase probability, churn probability, and revenue prediction, you’ll be able to make more targeted, data-driven decisions based on the predicted behavior of your users.

You’ll be able to improve your performance, create new audiences, and customize your brand experience to your users’ wants and needs.

New Reporting

Want to track your customer lifecycle? Now you can with new reports for acquisition, engagement, monetization, and retention, giving you more visibility and in-depth analysis into your user interactions.

New Control

With a renewed focus on user privacy, GA4 offers more granular controls on user data, moving away from cookies and towards data modeling instead.

By using data modeling to close the gaps left by inaccessible data, GA4 places as much emphasis on privacy as on data collection.

New Cross-platform Tracking

From email to website to social media, mobile app, and more, GA4 now has the capability to track both app and web data at once.

This GA4 property allows you to track user behavior from start to finish, covering all interactions and touchpoints across multiple platforms and offering a complete view of the user experience in one.

New Updates To GA4

Since May 2023, Google has added the following updates to GA4:

  • Funnel reports: Create custom funnel reports that track the steps users take to complete a task, and evaluate user drop-off between each step.
  • Audience builder: More flexibility and control when creating new audiences.
  • Business objectives collection: The ability to create new reports tailored to your business, allowing you to source relevant data and information based on your goals.
  • Search Console recommendation: Link your Search Console to your Google Analytics account to access Google Organic Search Queries and Google Organic Search Traffic reports.
  • Improvements to reusing analytics.js website tags: If your website is tagged with  analytics.js, you can reuse your existing tags when migrating to GA4, making the process easier and more streamlined.
  • Integration with AdSense: Link your AdSense account to a GA4 property, and your AdSense data will be available in your GA4 reports, giving you new insights to help boost your ad revenue.

The Benefits Of GA4

Thinking about making the switch to GA4? You’re not alone.

As of March 2023, an estimated 8.4 million websites are using Google Analytics 4.

And it’s not just big organizations and companies that are benefiting – smaller WordPress sites and Shopify stores are also seeing the results.

How? Just take a look.

Combined Web And App Tracking

When it comes to the user journey, the more you can see of it, the better.

That’s what GA4 does – collects data across multiple platforms and presents it to you in one single data stream, giving you a complete, convenient view of your customer lifecycle.

By capturing user interactions as events, such as a conversion event, GA4’s new metrics allow you to view web and app data simultaneously, giving you an enhanced measurement that helps optimize your online and website performance.

Simpler Data Analysis

Success in the digital landscape is all about engaging your user, and that’s where GA4’s machine learning and AI capabilities come in.

Being able to predict your customer’s actions means you’ll be able to give your users more of what they’re looking for, which is a win for both of you.

Thanks to GA4’s simple data analysis, you’ll be able to improve your website performance, make more informed, data-driven decisions, and add more value to your business as a whole.

New Audience Creation

Having better tools and measurements means being able to create new, more impactful audiences, which ultimately boosts your bottom line.

Use GA4’s predictive metrics to optimize your audiences and your ad spend, and watch your return on investment (ROI) flourish.

More Sophisticated Privacy Features

Most businesses use cookies to track user interactions, which can cause concern with some users over exactly what kind of data is tracked and collected.

Now with the latest version of GA4, you’ll have more control than ever over the kind of data you collect.

Not only will this keep you in compliance with privacy regulations, but it’ll also make your business more flexible and agile, allowing you to adapt to a landscape where cookies are no longer used, and data modeling fills in the gaps instead.

The Limitations Of GA4

Of course, while Google Analytics 4 has very real benefits, it also has its limitations, not the least of which is the learning curve involved when migrating from Universal Analytics.

Learning to navigate an almost entirely new platform – one that’s still in development – isn’t without its challenges, which include:

Complex Data Migration

Moving from Universal Analytics to GA4 won’t be an easy task. If you don’t have data or tag migration, your historical data won’t be transferred over, and the bigger your business, the bigger your challenges will be.

A New User Interface

Universal Analytics has hit types, and GA4 has events – which could be the biggest challenge for marketers to overcome.

With a new reporting interface in place, users will need to adapt to the differences quickly to stay ahead, and some may not be willing to bother.

Fewer Attribution Models

While Google’s priority is to offer the most up-to-date attribution data, the loss of some of its attribution models from within GA4 could prove to be tricky for some to adapt to.

Only last-click and data-driven attribution models have made the cut for GA4, which could have an impact on data and tracking visibility.

Limited Data Collection

Unlike its predecessor, GA4 is only able to collect limited data, meaning the picture that GA4 data gives of users’ interactions and behavior can be incomplete.

This, in turn, could limit marketers’ ability to adequately meet the needs and wants of their audience.

The Alternatives To GA4

Bearing these challenges in mind, is it necessary to move to GA4? If you don’t want to use cookies-free tracking or track user events, are there any alternatives that could be explored instead?

Luckily yes, with a range of options, including:

1. Adobe Analytics

When it comes to big business, Adobe Analytics is all over it – with its premium analytics package, that is.

With top-tier customization and flexibility, it offers similar data and measurements to that of GA4, although with a more advanced reporting structure.

The downside? Its high price tag. A premium product commands a premium price – one that you’ll need to contact Adobe directly to find out.

2. Matomo Analytics

Take control of your data with Matomo Analytics, a competitor of Google Analytics since 2007.

Used by over 1.4 million websites in 190 countries around the world, it’s by far one of the most popular analytics platforms out there.

Not only does Matomo adhere to privacy laws, but it also offers additional features to those available through GA4, including SEO keyword reporting, heatmaps, and A/B testing.

With easy migration from Universal Analytics, a (limited) free version, and paid versions starting at just $23 a month, it could be the GA4 alternative you’ve been looking for.

3. Fathom Analytics

If you’re all about user privacy, you’ll want an analytics platform that is too – and that’s where Fathom Analytics comes in.

Following a full set of data regulations from the GDPR to CCPA, ePrivacy, and PECR, Fathom offers web analytics without cookies and without storing users’ data.

With a privacy-first policy, single dashboard, and streamlined operations, Fathom is ideal for small businesses and offers a choice of 3 different plans, starting from $14 a month.

Making The Move To GA4

Is the move to GA4 right for your business? That’s a question only you can answer.

The one thing we do know with any certainty is that given the impending sunsetting of Universal Analytics, it’s a decision you’ll need to make sooner rather than later.

GA4 has its benefits, challenges, and alternatives, and you’ll need to bear all of them in mind when making your choice.

Do your research, ask the experts for advice, and use the power of digital analytics to take your business further.

More resources:


Featured Image: ra2 studio/Shutterstock

Trust In Online News Shifting From Reporters To Influencers via @sejournal, @MattGSouthern

The 2023 Digital News Report by the Reuters Institute sheds light on the complex relationship between the public, news outlets, and social media platforms.

As we navigate one crisis after another, the demand for reliable and independent journalism is higher than ever.

However, the news industry grapples with weak audience engagement, low trust, and an uncertain business environment.

Drawing data from 46 markets across six continents, the report paints a picture of an industry under duress that’s pivoting, innovating, and adapting.

Significant findings in the report include the following:

  • Legacy social networks like Facebook are seeing a dip in engagement. TikTok and other video-led platforms are on the rise.
  • There’s a growing dependence on influencers or celebrities for news over traditional journalists.
  • People are skeptical of news-selection algorithms, despite saying they prefer algorithmic news feeds.
  • Public participation in online news is down, and trust in news sources continues to fall.
  • Traditional media consumption, such as TV and print, continues to decline.
  • A significant number of people avoid reading the news at all.

The report offers a comprehensive examination of the news industry and highlights challenges and opportunities for publishers.

This article compiles the report’s most relevant findings.

Trust Shifting From Journalists To Influencers

The way people access news is changing.

There’s a decrease in the number of people who prefer to start their news journey with a website or app, down ten percentage points since 2018.

Younger audiences, in particular, prefer to access news via social media, search engines, or mobile aggregators instead of news brands’ websites and apps.

Trust In Online News Shifting From Reporters To InfluencersScreenshot from: reutersinstitute.politics.ox.ac.uk, June 2023.

Despite the widespread nature of digital and social media, weak audience engagement and low trust persist.

People increasingly turn to celebrities, influencers, and social media personalities for news rather than journalists.

Distrust In Algorithms

Despite the preference to receive news from social media influencers, people are wary of algorithms used to curate news feeds.

Trust In Online News Shifting From Reporters To InfluencersScreenshot from: reutersinstitute.politics.ox.ac.uk, June 2023.

Only 19% of those surveyed agreed that selecting news based on their friends’ consumption was a suitable way to get news.

Why?

There’s a worry that more personalized news could lead people to miss important information and challenging viewpoints.

When asked about selecting news stories based on past reading habits, the approval rate rose to 30%.

These numbers were more positive than the approval rate for news selected by editors and journalists, which stood at 27%.

Participation In Online News

The report finds a decrease in online news participation, with only about a fifth (22%) of respondents actively participating.

Trust In Online News Shifting From Reporters To InfluencersScreenshot from: reutersinstitute.politics.ox.ac.uk, June 2023.

In the past, the internet was seen as a platform for active participation, with users posting and commenting on news content.

Today, only 22% of the public participates actively, while 31% participate reactively—through reading, liking, or sharing news.

Meanwhile, 47% don’t engage with news at all.

Trust In Online News

Trust in news has decreased, with an average of 40% of respondents saying they trust news most of the time.

Public media brands enjoy high trust levels, but their reach among younger audiences is declining.

The dwindling trust could stem from rampant criticism of journalists and news media.

On average, about 53% of people across all markets report encountering criticism of journalists.

Levels of media criticism vary across different markets. In countries like Peru, approximately 71% of people report frequent exposure to news media criticism.

At the other end of the spectrum, only 22% of respondents in Japan reported the same.

The Rise Of News Avoidance

Another significant finding is the growing trend of news avoidance.

Trust In Online News Shifting From Reporters To InfluencersScreenshot from: reutersinstitute.politics.ox.ac.uk, June 2023.

About 36% of people surveyed across markets admit to avoiding the news, either periodically from all sources or restricting consumption to specific times or topics.

News avoiders prefer positive or solutions-based journalism and show less interest in the day’s major stories.

Research suggests that the public may now avoid sharing or participating in news due to viewing online debates as toxic.

In Summary

Key trends of the 2023 Digital News Report by Reuters Institute include declining engagement with news, growing skepticism towards algorithms, and a rise in news avoidance.

Declining trust in news is pronounced among younger audiences, who now favor influencers, celebrities, and social media personalities over journalists.

In this digital and social media age, nearly half of the public chooses not to engage with news, which calls for further exploration.

Whatever the solution for news avoidance and distrust, these shifts can’t be ignored if the industry hopes to thrive.


Source: Reuters Institute

How To Blend Data In Looker Studio With Practical Examples via @sejournal, @vahandev

Data blending in Looker Studio (formerly Google Data Studio) is a powerful technique that allows you to combine data from multiple sources in a single report or visualization.

You can create custom charts and reports that provide a comprehensive view of your data, bringing together insights from multiple data sources.

This technique can be particularly useful for SEO pros and digital marketers when you need to compare data from different sources.

How SEO Experts Can Use Data Blending

Since Google Search Console (GSC) and Google Analytics (GA) are different data platforms, you can’t see the social media traffic to articles and average position at the same time.

It can be particularly important to analyze if there is a correlation between social popularity and ranking position in search. With Looker Studio building, you can now build such correlation reports.

Blending data on website traffic, bounce rate, and time on site with keyword ranking data can help SEO pros gain a better understanding of how website performance affects search engine rankings.

How PPC Marketers Can Use Data Blending

PPC marketers can compare data across multiple ad platforms such as Google Ads, Facebook Ads, and LinkedIn Ads.

By blending data from these platforms, marketers can compare metrics such as cost per click (CPC), conversion rates, and ROI to identify which platform is performing best.

Also, they can combine data from multiple campaigns, allowing them to gain a more holistic view of their overall campaign performance and identify patterns or trends that may not be visible in individual campaigns.

Now let’s dive and learn with use case examples.

How To Blend Google Analytics 4 And Google Search Console Data

We will build a blended data source to find out if social media traffic and Google Discover visibility are correlating.

This will be an interesting experiment, especially given Gary Illyes recently said that social media may play an important role in improving indexability.

To blend data from two sources in Looker Studio, we’ll need to add both sources to our project.

If you haven’t already added the sources, let’s learn how to do that step-by-step. If you already know how to do this, you can skip and continue below.

How To Add Google Analytics 4 Into Looker Studio

Go to Resources > Manage added data sources.

Manage added data sourcesScreenshot from GA4, May 2023

In the popup dialog, click the Add data source hyperlink and choose your Google Analytics 4 (GA4) property.

How To Add Search Console Data Into Looker Studio

Go to Resources > Manage added data sources as in the previous step and search for “search console” in the popup dialog to find a connector.

Select Google DiscoverScreenshot from Looker Studio, May 2023

Select URL impressions > Discover to add Google Discover data into Looker Studio.

Select Google Discover

Now, let’s add data tables to our dashboard from each source.

After all these steps, you will see data from each source, but you will notice that GSC has a full URL, whereas the GA4 table has only the path.

We should bring both data into the same format and set the same ID for the dimension field to be able to blend them.

It’s important to ensure that the IDs (or Names) and types of the fields you want to blend are consistent across all data sources.

(Looker Studio does also match by field name, but I highly recommend using the same Fields IDs, too.)

Overall, the fastest way to blend data is to select both tables, right-click on them, and choose “Blend data” from the menu.

Blend dataBlend data.

But if you try it with different sources, you will notice that the blended data doesn’t make sense, as shown below.

Wrong dataWrong data.

In some cases, this may work, for example, when you blend data from the same source – but when blending data from different sources, we need to create a new field adjusted “Page path,” which will have the same format and ID.

Let’s create a “Page path” in the GSC source as a new field that will use the REGEXP_REPLACE formula to remove the host from the URL.

The key point here is to set the field ID “path,” which will be the same when we create it in GA4.

Thus, Looker Studio is able to match dimensions and merge them.

Do the same with the GA4 source and create a “Page path” field with the ID “path.”

Page path new field in GA4 sourcePage path new field in GA4 source.

Now in the tables, we’ve added replace dimension with the newly created field “Page path” (you can name it anything to easily differentiate them, the key is to have the “Field ID” be the same).

Tables that use page path new field.Tables that use page path new field.

Now you have your data ready to be blended by using “Blend data” from the right click dialog shown above. But before that, we want to make sure we have only social traffic from GA4. For that, we need to apply a filter to the GA4 table by following these steps:

Add a Filter > Create a Filter, and in the popup dialog, set the filter name and condition Medium contains “social.”

Now you can blend data and have social traffic and Google Discover impressions side-by-side.

Impressions and sessions from social in one tableImpressions and sessions from social in one table.

If you come across “null” values in the impressions column for older URLs, it’s because GSC only has data available for newly published URLs.

As a result, data for older URLs may not show up in GSC, which can result in “null” values.

This is a common occurrence and not necessarily indicative of any issues with your data or tracking.

Below is a simplified diagram that shows what blending means.

Diagram which shows how data blending worksImage created by author, May 2023

But what if we want to see also how impressions and social traffic evolve over time?

For that, we need to edit the blended data source and drag it into a dimensions list and also a Date field.

(In other cases, you may need to replicate the step for converting dimensions into the same format and ID with the Date field, too. But in this case, since they are in the same format already and have the same name, it will work, as Looker Studio also matches using field name.)

Add a date fieldAdd a date field.

Now you can choose the Time Series chart type to see how Google Discover impressions and social traffic align with each other.

Since impressions are much higher than social media traffic, it helps to choose a logarithmic scale for better visualization.

After analyzing the data, it’s clear that there is a strong correlation between impressions in Google Discover and social traffic. The ups and downs of impressions align very closely with social traffic patterns, indicating that increased social media traffic leads to increase visibility in Google Discover.

(Please always remember correlation is not causation.)

Google Discover’s ranking algorithm is very different from Google Search.

Now, you may ask if there is a correlation between ranking and social traffic. Let’s explore that, too.

All the steps are the same with the difference being that you should add GSC’s web data table and include average position as a metric.

GSC web search data table GSC web search data table.

After creating a new field, “Page path,” with the same Field ID “path” and blending, we see that there is no correlation between social traffic and ranking position in the search engine results page (SERP).

You can see that the ranking position isn’t changing while social traffic goes up and down. Thus, we can conclude that ranking position doesn’t correlate with social media traffic.

Social traffic and ranking positionSocial traffic and ranking position. (Log scale)

Conclusion

With these examples, you can see how many useful data insights you can get by combining data from different data sources.

Many of you have access to Ahrefs, Semrush, on any other SEO tool, and you can try to blend backlink data with Google Analytics referral traffic data to understand the impact of your backlinks on your website traffic.

The key principle here is to create dimensions in two data sets with the same Field IDs, which will be used in blending.

More resources:


Featured Image: Andrey_Popov/Shutterstock

Google Analytics Event Tracking: How To Get Set Up via @sejournal, @vahandev

Universal Analytics is being sunset, and everyone is rushing to migrate from UA to Google Analytics 4 (GA4).

In this guide, we’ll help you migrate your custom events and walk you through how to set up GA4 custom events.

Types Of Events That GA4 Automatically Tracks By Default

Google Analytics 4 automatically tracks several events by default, without any additional configuration. Some of these events relevant to web property tracking include:

  • click.
  • file_download.
  • form_start.
  • form_submit.
  • page_view.
  • scroll.
  • session_start.
  • user_engagement.
  • video_complete.
  • video_progress.
  • video_start.
  • view_search_results.

It also collects the following parameters by default:

  • page_location.
  • page_referrer.
  • page_title.
  • screen_resolution.
  • language.

But in most cases, it is not enough for comprehensive tracking, and here is where custom event tracking comes into help.

Let’s look at how to set up custom event tracking in GA4.

How Does Google Analytics Event Tracking Work?

When you perform an action on a website or in the app, GA4 sends requests with detailed information about your activity, called events (formerly “hits” in Universal Analytics).

After receiving those requests, GA4 processes the submitted data, aggregating and organizing it to generate meaningful reports and insights.

How To Set up Custom Event Tracking Manually In GA4

First, I would like to share one of the most powerful sides of GA4: You can create custom events by using other events which meet certain criteria.

Navigate to Events in GA4 and click the Create Event blue button in the top right corner.

Create eventScreenshot from GA4, April 2023

In the popup dialog, click Create.

In the dialog, you can set criteria for when your new custom event should fire.

Here, we created a “newsletter_sign_up” event on the page_view event when the page_location parameter contains “newsletter-confirmation” in the URL (as you read above, GA4 tracks these by default).

Based on your newsletter thank you page URL specifics, it can be different.

Create custom eventScreenshot from GA4, April 2023

And what is even cooler: you can turn that event into a conversion and track sign-ups as conversions.

Pretty easy, isn’t it? This is one of the wonders GA4 brings with it; no coding skills are needed to make this magic happen.

You can use this feature in a bunch of different scenarios. But if you run into a situation where this is still not enough to meet your needs, you might need to set up events with custom parameters.

Below we will discuss advanced techniques for setting up custom events.

How To Set Up Custom Event Tracking With Custom Parameters In GA4

In Universal Analytics, there are four parameters for events you can track, and there is no option to add more parameters:

  • Event Category.
  • Event Action.
  • Event Label.
  • Event Value.

In GA4, there is no longer such a structure, but it comes with more flexibility, as you can define as many event parameters as you want.

The advantage is that you get highly customized event tracking with lots of data, but the downside is that it’s no longer a plug-in-and-play like UA.

Configuring custom event tracking in Google Analytics 4 (GA4) requires several steps.

In order to track events with custom parameters in GA4, you have to start by adding custom dimensions, and there are two ways of doing that: gtag and GTM-based.

First, we’ll discuss gtag-based implementation. If you prefer GTM-based, you can skip this first section and read that part below.

For implementation, follow the step-by-step guide below.

How To Add Custom Dimension In GA4

Navigate to Admin > Property > Custom definitions.

Custom definitions in GA4Screenshot from GA4, April 2023

Click the Create custom dimensions blue button and create an event-scoped custom dimension by entering the dimension name and event parameter.

Event scoped custom dimensionScreenshot from GA4, April 2023

For our guide, let’s start with custom events tracking analogical to Universal Analytics with custom parameters.

  • Event Category.
  • Event Action.
  • Event Label.

Suppose you want to track clicks on your main navigation menu.

In this case, you could set the Event Category to Menu Clicks, the Event Action to the anchor link, and the Event Label to the anchor text.

An example use case for this setup is to change the anchor text of menu items and track which ones attract more clicks, allowing you to optimize your navigation menu for better user engagement and conversion rates.

Per GA4 documentation, you should trigger a gtag event when one clicks on your menu items (we assume links are inside the

  • html tag, which have .menu-item class).  You can see the example code below.
  • The event name “menu_clicks” can be anything you want, and it will have three parameters you provide. This is one approach if you don’t have Google Tag Manager and prefer gtag implementation.

    You can use custom parameters to pass additional values to predefined events, for example, sign_up event. Per GA’s documentation, it supports only one parameter called “method” ( which can be anything, e.g., social login, email, etc. )

    gtag("event", "sign_up", {
    method: "Google"
    });

    By adding custom dimensions, you can also pass additional information such as sign-up subscription plan (for example, “free trial,” “basic,” “premium.”)

    You can add custom dimension”sign_up_plan” and pass along with “method.”

    gtag("event", "sign_up", {
    method: "Google",
    sign_up_plan: "basic",
    });

    To implement all these, you need basic JS programmer skills, which you can quickly learn by using ChatGPT. You can now test the prompt:

    JavaScript code that triggers a gtag custom event with the name ‘menu_clicks’ when a user clicks on a menu item with a parent li tag that has class ‘.menu-item’. Pass the following custom event parameters: ‘event_category’ should be set to ‘Menu Clicks’, ‘event_action’ should be set to the link of the clicked item, and ‘event_label’ should be set to the anchor text of the clicked item.

    Try this prompt, and you will see the magic happening.

    You can copy and paste that code into your CMS code editor, and voila!

    Now, let’s set up the same event tracking using the GTM tag.

    I assume you’ve already installed GA4 via Google Tag Manager and will proceed with the steps from there.

    You would need to add custom dimensions per the steps explained in the section above.

    How To Set Up Event Tracking In Google Tag Manager

    Create a new a new JavaScript variable in GTM that returns clicked anchor’s parent tag class name – because, in GTM, there is no built-in way to get parent DOM element attributes.

    Navigate to Variables > User-Defined Variables and click the New button on the top right corner. In the popup dialog, select Custom Javascript.

    Custom javascript variable in GTMScreenshot from GA4, April 2023

    Copy and paste this code into it.

    function() {
     'use strict';
     try {
           var clickElement = {{Click Element}}; // clickable element DOM object
           var clickParent = clickElement.closest('.menu-item'); //clickable element DOM object parent with class .menu-item
           if (!clickParent) return ''; 
           return clickParent.getAttribute('class'); // if element exist return class attribute
     } catch (err) {
           return '';
     }
    }
    Custom JavaScript variable which returns class name of parent tagScreenshot from GA4, April 2023

    This code returns the parent class attribute of a clicked element when there is a parent with class ‘.menu-item’, or it returns an empty value if there is no such parent element.

    We can use this to ensure that we only detect clicks on menu item links, not other links elsewhere on the page.

    Create a new trigger in GTM that fires on all clicks on elements with a parent

  • that has class of “menu-item”.
  • Navigate to Triggers and click the New button in the top right corner.

    From the popup dialog, select Click – Just Links.

    Add new click event GTM dialogScreenshot from GA4, April 2023
    Add new click event GTM dialog

    Choose Some Link Clicks > Configure it to fire on clicks where the parent element class contains the string “menu-item.”

    Some Link ClicksScreenshot from GA4, April 2023

    Navigate to Tags and add the GA4 Event tag.

    Choose tag typeScreenshot from GA4, April 2023

    Fill in as event name “main_menu_clicks” or whatever you want to name the event, and add custom parameters event_category, event_action, and event_label.

    GA4 - Menu ClickScreenshot from GA4, April 2023

    For event action and label, choose Click Text and Click URL build-in variables.

    Choose a serviceScreenshot from GA4, April 2023

    Choose the trigger of Menu Clicks we created before, and save the tag.

    Add triggerScreenshot from GA4, April 2023

    Publish changes and debug to ensure when you click on your menu items, the event is triggering with all parameters set correctly.

    GTM preview modeScreenshot from GA4, April 2023

    How To Implement Custom Event Tracking By Using dataLayer.push() Method

    If you still prefer custom coding and have GTM, you can use the datalayer.push() method.

    In that case, you would need to add event_category, event_action, and event_label parameters in GTM as dataLayer variables.

    GTM datalayer variableScreenshot from GA4, April 2023

    And on your website section, you should use the code below.

    How Do I Know If Google Analytics Event Tracking Is Working?

    It is also important to check if you see an event log with the same parameters in GA4 debug view. It may happen that GTM will fire, but because of misconfiguration, it will not be passed to GA4.

    GA4 debug viewScreenshot from GA4, April 2023

    In case you have gtag implementation, you should enable debug mode by installing the Chrome extension or by adding one line of code to your GA4 configuration.

    gtag('config', 'G-12345ABCDE', { 'debug_mode':true });

    Always debug and make sure that all custom parameters pass as expected.

    Conclusion

    GA4 is quite challenging and not a plug-and-play analytics tool like Universal Analytics; you need to spend a good amount of time learning it.

    On the other hand, it comes with plenty of new features you can use and enhance your analytics to an unprecedented level.

    By being able to customize the event tracking, you get a powerful skill that even can help you work around some of the attribution models that Google Analytics is sunsetting by tracking users’ first visit source in a custom dimension.

    With this in mind, I will be publishing a step-by-step guide on how to (partially) restore the first attribution model using custom event parameters.

    More resources:


    Featured Image: Andrey_Popov/Shutterstock

    Form Tracking With Google Analytics (Via WordPress And GTM) via @sejournal, @coreydmorris

    Tracking form submissions is a crucial aspect of marketing success, as it allows organizations to gather valuable data about their audience and their preferences.

    By keeping track of the forms submitted, companies can identify which marketing campaigns are most effective, what kind of content resonates with their target audience, and which channels drive the most conversions.

    Additionally, tracking form submissions helps organizations to understand the customer journey – from initial contact to conversion – providing insight into areas for improvement.

    While there are seemingly infinite ways to track form submissions on your website, I recommend using Google Tag Manager to do the leg work, so that it’s easier to send the right data to publisher platforms (think Google Analytics, Google Ads, Facebook, and LinkedIn).

    Why You Should Use Google Tag Manager

    Google Tag Manager is an essential tool for form tracking as it provides a centralized platform for managing tracking tags and marketing code snippets on a website.

    By integrating form tracking with Google Tag Manager, both individuals and businesses can easily track form submissions and gather valuable data without having to manually add code to their websites.

    This saves time and reduces the risk of errors that can arise from manual implementation.

    Additionally, Google Tag Manager provides a user-friendly interface that allows marketers to create, manage, and implement tracking tags without the need for technical skills.

    How To Track Form Submissions In Google Tag Manager

    Google Tag Manager listens for events on your website, called “triggers,” and runs code snippets with necessary data, called “tags,” when appropriate.

    There are a few different triggers that can be used to track forms, including the following, ranked by reliability:

    1. Confirmation Page Views.
    2. Success Message Visibility.
    3. Data Layer Events.
    4. Auto Event Listener.
    5. AJAX Event Listener.
    6. DOM Scraping.
    7. Custom Event Listener.

    While all of these triggers work, the one that I’ve seen the most success with is the first: Confirmation Page Views.

    Instead of having the form send a signal to Google Tag Manager when someone fills out a form, we can track when a user lands on a confirmation or “thank you” page after filling out that form.

    Step 1: Setting Up A Confirmation Page In WordPress

    If you’re using WordPress to manage your website content, there are plenty of plugins that you can use to integrate functional and good-looking forms on your website.

    My favorite, and the one my agency uses, is Gravity Forms.

    In Gravity Forms, you can set up a “Confirmation” for your form to send users to a page of your choosing, and even carry over form data to that page for more advanced tracking.

    Gravity Forms Settings ConfirmationsScreenshot from Gravity Forms, February 2023

    If Gravity Forms isn’t for you, there are an endless amount of plugins that can do the job, including WPForms, Ninja Forms, and HubSpot.

    Step 2: Setting Up A Trigger In Google Tag Manager

    After setting up a confirmation page, the next step is to set up a “trigger” in Google Tag Manager.

    Make sure that your trigger is listening for a page view event on only your confirmation page (like the configuration shown below).

    Google Analytics Trigger SettingsScreenshot from Google Tag Manager, February 2023

    Step 3: Setting Up A Tag For Google Analytics 4

    After confirming the right data is getting to Google Tag Manager, using a tool like GTM’s native debugger or GTM’s popular Chrome extension, you can start sending that data to marketing and reporting platforms like Google Analytics.

    With everyone switching from Universal Analytics to Google Analytics 4 (GA4), we figured this would be the most helpful example to demonstrate how easy form tracking is in GTM.

    Just be sure to use the “Google Analytics: GA4 Event” template tag, choose the right GA4 configuration tag (or type in your GA4 property ID directly) and choose the right event name.

    In most cases, “generate_lead” will be the best choice, but there are a ton of other native events in GA4 to choose from.

    GA4 Form Submission SettingsScreenshot from Google Tag Manager, February 2023

    Step 4: Start Seeing Results

    Now that Google Tag Manager is collecting data and sending it to Google Analytics 4, you should be able to see that data in your GA4 reports (it might take a day or two to see results if you’re checking in real-time).

    If you used the “generate_lead” event described above, page views to the confirmation page will automatically be flagged as a conversion.

    If not, you might need to mark the event name as a conversion first.

    Then, you can use GA4’s conversion report to see how many form submissions you’re collecting, and even layer in different dimensions and metrics for advanced acquisition and behavior insights.

    GA Conversions by EventScreenshot from Google Analytics, February 2023

    Conclusion

    Whether you are an experienced marketer or just starting out, form tracking in GTM and WordPress provides a straightforward and efficient solution for tracking form submissions and understanding where leads are coming from, how they’re interacting with the website, and why they’re interested in you.

    While the solution above is the most popular and reliable, there are plenty that are well-suited for websites that have more customized forms and website logic.

    Be sure to consult a developer if you run into any issues along the way!

    More Resources:


    Featured Image: G-Stock Studio/Shutterstock

    Google’s Q4 Report: The Challenges & Opportunities For Marketers via @sejournal, @MattGSouthern

    Google’s parent company, Alphabet Inc., reported its fourth straight quarter of declining profits.

    It made $76 billion in sales over the past three months, but it wasn’t enough to meet Wall Street’s expectations.

    Google’s revenue was down 9% compared to last year, and its biggest business, Google Search, saw a 1% drop in revenue. Even YouTube’s advertising sales fell by nearly 8%.

    Alphabet has decided to cut its workforce by 12,000 and expects to spend between $1.9 billion and $2.3 billion on employee severance costs.

    This latest earnings report shows tech giants like Google are facing challenges in the current digital advertising landscape.

    But Google’s CEO, Sundar Pichai, believes that the company’s long-term investments in AI will be a key factor in its future success.

    In a press release, Pichai says he expects major AI advancements to be soon revealed in Google search and other areas:

    “Our long-term investments in deep computer science make us extremely well-positioned as AI reaches an inflection point, and I’m excited by the AI-driven leaps we’re about to unveil in Search and beyond. There’s also great momentum in Cloud, YouTube subscriptions, and our Pixel devices. We’re on an important journey to re-engineer our cost structure in a durable way and to build financially sustainable, vibrant, growing businesses across Alphabet.”

    Alphabet’s CFO, Ruth Porat, reported that their Q4 consolidated revenues were $76 billion, a 1% increase from the previous year. The full year 2022 saw revenues of $283 billion, a 10% increase.

    Going forward, Alphabet is changing how it reports on its AI activities.

    DeepMind, which used to be reported under “Other Bets,” will now be reported as part of Alphabet’s corporate costs to reflect its increasing integration with Google Services and Google Cloud.

    What Does This Mean For Marketing Professionals?

    It’s important to stay updated on the latest developments in the tech industry and how they may affect advertising strategies.

    Google’s declining profits and decreased revenue in their search and YouTube platforms are reminders that the digital advertising landscape is constantly evolving, and companies must adapt to keep up.

    Marketers should consider diversifying their advertising efforts across multiple platforms to minimize the impact of market swings.

    Additionally, Google’s focus on AI and its integration with Google Services and Cloud is something to keep an eye on.

    As AI advances, it may offer new opportunities for marketers to target and engage with their audience effectively.

    By staying informed on the latest tech advancements, marketers can stay ahead of the curve and make the most of these opportunities.

    Despite Google’s recent financial setbacks, the tech giant is still a major player in the digital advertising landscape, and its investments in AI show its commitment to continued growth and innovation.


    Featured Image: Sergio Photone/Shutterstock

    Source: Alphabet