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• Unveiling GA4 Issues : 8 Questions from a Marketer That GA4 Can’t Answer

  8 janvier 2024, par Alex

  It’s hard to believe, but Universal Analytics had a lifespan of 11 years, from its announcement in March 2012. Despite occasional criticism, this service established standards for the entire web analytics industry. Many metrics and reports became benchmarks for a whole generation of marketers. It truly was an era.

  For instance, a lot of marketers got used to starting each workday by inspecting dashboards and standard traffic reports in the Universal Analytics web interface. There were so, so many of those days. They became so accustomed to Universal Analytics that they would enter reports, manipulate numbers, and play with metrics almost on autopilot, without much thought.

  However, six months have passed since the sunset of Universal Analytics – precisely on July 1, 2023, when Google stopped processing requests for resources using the previous version of Google Analytics. The time when data about visitors and their interactions with the website were more clearly structured within the UA paradigm is now in the past. GA4 has brought a plethora of opportunities to marketers, but along with those opportunities came a series of complexities.

  GA4 issues

  Since its initial announcement in 2020, GA4 has been plagued with errors and inconsistencies. It still has poor and sometimes illogical documentation, numerous restrictions, and peculiar interface solutions. But more importantly, the barrier to entry into web analytics has significantly increased.

  If you diligently follow GA4 updates, read the documentation, and possess skills in working with data (SQL and basic statistics), you probably won’t feel any problems – you know how to set up a convenient and efficient environment for your product and marketing data. But what if you’re not that proficient ? That’s when issues arise.

  In this article, we try to address a series of straightforward questions that less experienced users – marketers, project managers, SEO specialists, and others – want answers to. They have no time to delve into the intricacies of GA4 but seek access to the fundamentals crucial for their functionality.

  Previously, in Universal Analytics, they could quickly and conveniently address their issues. Now, the situation has become, to put it mildly, more complex. We’ve identified 8 such questions for which the current version of GA4 either fails to provide answers or implies that answers would require significant enhancements. So, let’s dive into them one by one.

  Question 1 : What are the most popular traffic sources on my website ?

  Seemingly a straightforward question. What does GA4 tell us ? It responds with a question : “Which traffic source parameter are you interested in ?”

  

  Wait, what ?

  People just want to know which resources bring them the most traffic. Is that really an issue ?

  Unfortunately, yes. In GA4, there are not one, not two, but three traffic source parameters :

  1. Session source.
  2. First User Source – the source of the first session for each user.
  3. Just the source – determined at the event or conversion level.

  If you wanted to open a report and draw conclusions quickly, we have bad news for you. Before you start ranking your traffic sources by popularity, you need to do some mental work on which parameter and in what context you will look. And even when you decide, you’ll need to make a choice in the selection of standard reports : work with the User Acquisition Report or Traffic Acquisition.

  Yes, there is a difference between them : the first uses the First User Source parameter, and the second uses the session source. And you need to figure that out too.

  Question 2 : What is my conversion rate ?

  This question concerns everyone, and it should be simple, implying a straightforward answer. But no.

  

  In GA4, there are three conversion metrics (yes, three) :

  1. Session conversion – the percentage of sessions with a conversion.
  2. User conversion – the percentage of users who completed a conversion.
  3. First-time Purchaser Conversion – the share of active users who made their first purchase.

  If the last metric doesn’t interest us much, GA4 users can still choose something from the remaining two. But what’s next ? Which parameters to use for comparison ? Session source or user source ? What if you want to see the conversion rate for a specific event ? And how do you do this in analyses rather than in standard reports ?

  In the end, instead of an answer to a simple question, marketers get a bunch of new questions.

  Question 3. Can I trust user and session metrics ?

  Unfortunately, no. This may boggle the mind of those not well-versed in the mechanics of calculating user and session metrics, but it’s the plain truth : the numbers in GA4 and those in reality may and will differ.

  

  The reason is that GA4 uses the HyperLogLog++ statistical algorithm to count unique values. Without delving into details, it’s a mechanism for approximate estimation of a metric with a certain level of error.

  This error level is quite well-documented. For instance, for the Total Users metric, the error level is 1.63% (for a 95% confidence interval). In simple terms, this means that 100,000 users in the GA4 interface equate to 100,000 1.63% in reality.

  Furthermore – but this is no surprise to anyone – GA4 samples data. This means that with too large a sample size or when using a large number of parameters, the application will assess your metrics based on a partial sample – let’s say 5, 10, or 30% of the entire population.

  It’s a reasonable assumption, but it can (and probably will) surprise marketers – the metrics will deviate from reality. All end-users can do (excluding delving into raw data methodologies) is to take this error level into account in their conclusions.

  Question 4. How do I calculate First Click attribution ?

  You can’t. Unfortunately, as of late, GA4 offers only three attribution models available in the Attribution tab : Last Click, Last Click For Google Ads, and Data Driven. First Click attribution is essential for understanding where and when demand is generated. In the previous version of Google Analytics (and until recently, in the current one), users could quickly apply First Click and other attribution models, compare them, and gain insights. Now, this capability is gone.

  

  Certainly, you can look at the conversion distribution considering the First User Source parameter – this will be some proxy for First Click attribution. However, comparing it with others in the Model Comparison tab won’t be possible. In the context of the GA4 interface, it makes sense to forget about non-standard attribution models.

  Question 5. How do I account for intra-session traffic ?

  Intra-session traffic essentially refers to a change in traffic sources within a session. Imagine a scenario where a user comes to your site organically from Google and, within a minute, comes from an email campaign. In the previous version of Google Analytics, a new session with the traffic source “e-mail” would be created in such a case. But now, the situation has changed.

  A session now only ends in the case of a timeout – say, 30 minutes without interaction. This means a session will always have a source from which it started. If a user changes the source within a session (clicks on an ad, from email campaigns, and so on), you won’t know anything about it until they convert. This is a significant blow to intra-session traffic since their contribution to traffic remains virtually unnoticed. 

  Question 6. How can I account for users who have not consented to the use of third-party cookies ?
  

  You can’t. Google Consent Mode settings imply several options when a user rejects the use of 3rd party cookies. In GA4 and BigQuery, depersonalized cookieless pings will be sent. These pings do not contain specific client_id, session_id, or other custom dimensions. As a result, you won’t be able to consider them as users or link the actions of such users together.

  Question 7. How can I compare data in explorations with the previous year ?

  The maximum data retention period for a free GA4 account is 14 months. This means that if the date range is wider, you can only use standard reports. You won’t be able to compare or view cohorts or funnels for periods more than 14 months ago. This makes the product functionality less rich because various report formats in explorations are very convenient for comparing specific metrics in easily digestible reports.

  

  Of course, you always have the option to connect BigQuery and store raw data without limitations, but this process usually requires the involvement of an advanced analyst. And precisely this option is unavailable to most marketers in small teams.

  Question 8. Is the data for yesterday accurate ?

  Unknown. Google declares that data processing in GA4 takes up to 48 hours. And although this process is faster, most users still have room for frustration. And they can be understood.

  

  What does “data processing takes 24-48 hours” mean ? When will the data in reports be complete ? For yesterday ? Or the day before yesterday ? Or for all days that were more than two days ago ? Unclear. What should marketers tell their managers when they were asked if all the data is in this report ? Well, probably all of it… or maybe not… Let’s wait for 48 hours…

  Undoubtedly, computational resources and time are needed for data preprocessing and aggregation. It’s okay that data for today will not be up-to-date. And probably not for yesterday either. But people just want to know when they can trust their data. Are they asking for too much : just a note that this report contains all the data sent and processed by Google Analytics ?

  What should you do ?

  Credit should be given to the Google team – they have done a lot to enable users to answer these questions in one form or another. For example, you can use data streaming in BigQuery and work with raw data. The entry threshold for this functionality has been significantly lowered. In fact, if you are dissatisfied with the GA4 interface, you can organize your export to BigQuery and create your own reports without (almost) any restrictions.

  Another strong option is the widespread launch of GTM Server Side. This allows you to quite freely modify the event model and essentially enrich each hit with various parameters, doing this in a first-party context. This, of course, reduces the harmful impact of most of the limitations described in this text.

  But this is not a solution.

  The users in question – marketers, managers, developers – they do not want or do not have the time for a deep dive into the issue. And they want simple answers to simple (it seemed) questions. And for now, unfortunately, GA4 is more of a professional tool for analysts than a convenient instrument for generating insights for not very advanced users.

  Why is this such a serious issue ?

  The thing is – and this is crucial – over the past 10 years, Google has managed to create a sort of GA-bubble for marketers. Many of them have become so accustomed to Google Analytics that when faced with another issue, they don’t venture to explore alternative solutions but attempt to solve it on their own. And almost always, this turns out to be expensive and inconvenient.

  However, with the latest updates to GA4, it is becoming increasingly evident that this application is struggling to address even the most basic questions from users. And these questions are not fantastically complex. Much of what was described in this article is not an unsolvable mystery and is successfully addressed by other analytics services.

  Let’s try to answer some of the questions described from the perspective of Matomo.

  Question 1 : What are the most popular traffic sources ? [Solved]

  In the Acquisition panel, you will find at least three easily identifiable reports – for traffic channels (All Channels), sources (Websites), and campaigns (Campaigns). 

  

  With these, you can quickly and easily answer the question about the most popular traffic sources, and if needed, delve into more detailed information, such as landing pages.

  Question 2 : What is my conversion rate ? [Solved]

  Under Goals in Matomo, you’ll easily find the overall conversion rate for your site. Below that you’ll have access to the conversion rate of each goal you’ve set in your Matomo instance.

  

  Question 3 : Can I trust user and session metrics ? [Solved]

  Yes. With Matomo, you’re guaranteed 100% accurate data. Matomo does not apply sampling, does not employ specific statistical algorithms, or any analogs of threshold values. Yes, it is possible, and it’s perfectly normal. If you see a metric in the visits or users field, it accurately represents reality by 100%.

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

  Start for free

  No credit card required

  Question 4 : How do I calculate First Click attribution ? [Solved]
  
  You can do this in the same section where the other 5 attribution models, available in Matomo, are calculated – in the Multi Attribution section.

  

  You can choose a specific conversion and, in a few clicks, calculate and compare up to 3 marketing attribution models. This means you don’t have to spend several days digging through documentation trying to understand how a particular model is calculated. Have a question – get an answer.

  Question 5 : How do I account for intra-session traffic ? [Solved]

  Matomo creates a new visit when a user changes a campaign. This means that you will accurately capture all relevant traffic if it is adequately tagged. No campaigns will be lost within a visit, as they will have a new utm_campaign parameter.

  This is a crucial point because when the Referrer changes, a new visit is not created, but the key lies in something else – accounting for all available traffic becomes your responsibility and depends on how you tag it.

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

  Start for free

  No credit card required

  Question 6 : How can I account for users who have not consented to the use of third-party cookies ? [Solved]

  Google Analytics requires users to accept a cookie consent banner with “analytics_storage=granted” to track them. If users reject cookie consent banners, however, then Google Analytics can’t track these visitors at all. They simply won’t show up in your traffic reports. 

  Matomo doesn’t require cookie consent banners (apart from in the United Kingdom and Germany) and can therefore continue to track visitors even after they have rejected a cookie consent screen. This is achieved through a config_id variable (the user identifier equivalent which is updating once a day). 

  

  This means that virtually all of your website traffic will be tracked regardless of whether users accept a cookie consent banner or not.

  Question 7 : How can I compare data in explorations with the previous year ? [Solved]
  

  There is no limitation on data retention for your aggregated reports in Matomo. The essence of Matomo experience lies in the reporting data, and consequently, retaining reports indefinitely is a viable option. So you can compare data for any timeframe. 7

  

• The Ultimate List of Alternatives to Google Products

  2 août 2022, par Erin — Privacy

  For many businesses, Google products can play an integral part in the productivity, function and even success of the company. This is because Google has designed their digital ecosystem to infiltrate every aspect of your work and personal life at low-to-no cost.

  On the surface, this seems like a no-brainer. Why not have a cost-effective and seamlessly connected tech stack ? It’s the complete package. 

  From Gmail to Google Analytics, it becomes hard to untangle yourself from this intricate web Google has managed to spin. But like a web, you know there’s also a catch.

  This leads us to the big question… Why stop ?

  In this blog, we’ll cover :

  Why de-Google ?

  Google products are convenient and seemingly free. However, in recent years, Google’s name has become synonymous with privacy breaches, data leaks and illegal under the General Data Protection Regulation (GDPR).

  As their track record shows a glaring disregard for data protection, a growing list of EU member countries like Austria, France, Denmark and Italy have banned Google products, such as Google Analytics, Google Workspace and Google Chromebook.

  Google offers free products and services, but not out of altruism. There’s a trade-off. By using Google’s “free” products, your customers’ and your own online activity becomes a commodity that can be sold to advertisers.

  When the risks of using Google products are considered, it becomes clear the need to plot a pathway to de-Google your business. If you’re wondering how in the world to uncoil from this web, fortunately, there are plenty of privacy-friendly, secure alternatives to Google products that you can choose.

  Disclaimer : Below, we’ve tried our best to provide a comprehensive list of alternatives to Google products for businesses, but because you know your business best, we’d also encourage you to do your own research to ensure the tool will suit your unique needs.

  Best Google alternative tools for business

  Overall business tools

  Google Workspace alternatives

  Google Workspace isn’t GDPR compliant by default, so businesses are at risk of fines and reputational damage. More EU countries are reaching the same conclusion that Google products are violating EU law. Data Protection Authorities from Norway and Denmark have deemed Google Workspace illegal in accordance with the GDPR. 

  Nextcloud

  Nextcloud is an open-source and self-hosted productivity platform that offers a suite of services to replace the major features found in Google Workspace, such as Google Drive, Calendar, Docs, Forms and Tasks. 

  You can share files and collaborate without worrying about data being shared with unauthorised individuals or companies. As a self-hosted suite, you’re in full control of where your data is, who has access to it and can comply with the strictest of data protection legislations.

  

  Zoho

  Zoho is a Google Workspace alternative built on the same principles as Google’s productivity suite. It offers a suite of online office tools, including email, calendar and task management, but with an emphasis on privacy protection. Zoho doesn’t rely on advertising revenue to support their business which means your personal data will never be sold or used for targeted ads. 

  With over 75 million users globally, Zoho offers data encryption at rest and at transit, multi-factor authentication and complies with strict security standards set by HIPAA, the Cloud Security Alliance and the GDPR.

  

  Gmail alternatives

  Google only encrypts emails via STARTTLS. In other words, your data isn’t end-to-end encrypted and can be decrypted by them at any time. Gmail also has a history of allowing third-party app developers that work with Gmail to access private and personal Gmail messages for their own market research purposes.

  ProtonMail

  ProtonMail is a secure, open-source email service that provides end-to-end encryption, so only the sender and receiver can access the messages. Proton deliberately doesn’t possess the key needed to decrypt any part of the message, so you know your sensitive business information is always private. 

  To protect users from digital surveillance, they also provide enhanced tracking protections and don’t rely on ads, so your data isn’t mined for advertising purposes. Not only that, you can also sync ProtonMail with a host of other Google alternative products, such as Proton Calendar and Proton Drive.

  

  Mailfence

  Mailfence is a highly secure communications and planning platform that offers a complete email suite, as well as, Documents, a Calendar and Groups. It provides end-to-end encryption and comes with a built-in data loss prevention system that prevents unauthorised access to your sensitive information. 

  Mailfence is completely ad-free and promises to never commercialise its databases or share data with third parties for targeted ads.

  

  Tutanota

  Tutanota is an open-source email service known as one of the first to offer end-to-end encryption. It boasts a user-friendly interface and offers a fast, simple and secure email service that works on web and mobile platforms. Stringent security, in addition to TOTP and U2F for two-factor authentication means you control who has access to your email and messages. 

  It requires no phone number or personal information to register for a free account. In addition, Tutanota doesn’t earn money through ads, its servers are based in Europe and it is fully GDPR compliant.

  

  Google Calendar alternatives

  Calendars can contain a lot of personal information (who you are meeting, location, contact info, etc.), which is well worth keeping private. 

  Proton Calendar

  With Proton Calendar all event details – participants, locations, event names, descriptions and notes are end-to-end encrypted. It has a clean and easy-to-use interface, and you get a full set of advanced features to replace Google Calendar, such as the ability to create events and reminders, add multiple calendars and set up repeating events. You can easily sync all your calendars between mobile and desktop apps.

  

  Mailfence Calendar

  Mailfence Calendar lets you manage, schedule and track your events and meetings. Similar to Google Calendar, you can invite people to events using their Mailfence email IDs, but it doesn’t track your location or email address.

  

  Tutanota Calendar

  Tutanota Calendar offers built-in encryption, so no one else can decrypt and read your information.

  You can keep track of your appointments and meetings in a secure environment that only you have access to. You get features, such as day/week/month view, all-day events, recurring events, upcoming events view and shared calendars. You can also sync it with other apps such as Outlook.

  

  Nextcloud Calendar app

  Nextcloud also offers a Calendar app which easily syncs events from different devices with your Nextcloud account. You can integrate it with other Nextcloud apps like Contacts, Talk and Tasks.

  

  Google Drive alternatives

  The GDPR emphasises end-to-end encryption as a safeguard against data leaks, but Google Drive isn’t end-to-end encrypted, so Google has access to the data on its servers. 

  In their privacy policy, they also state that this data can be analysed for advertising purposes, so although you’re using “free” Cloud storage, users need to be aware that they’re paying for this by giving Google access to any and all data stored in Google Drive.

  Proton Drive

  Proton Drive is a secure and private Cloud storage service that provides you with an easy-to-use, customisable and secure file management system.

  It uses end-to-end encryption to secure your data and keep it safe from prying eyes. As you have full control over your data, you can decide how long it’s stored and who has access to it. You can also choose how much of your information is shared with other users.

  

  Nextcloud

  Nextcloud works on your own server, so you can access and share your data wherever you are. It’s a file hosting service that lets you store files, sync them across your devices and collaborate with others on projects. 

  It also provides encryption for all the files that you store on its servers, so you can rest assured that no one can see your information without your permission.

  

  Syncthing

  Syncthing is a free, open-source file synchronisation program that allows you to store and access your files wherever you are. It’s designed to be fast, secure and easy to use, making it a great alternative to Google Drive. 

  With Syncthing, you can sync files across multiple computers and mobile devices at once. So if you create, delete or modify files on one machine, they will automatically be replicated on other devices. Data is saved directly to a location you choose, so you can securely backup your data without needing a third-party cloud service.

  Google Docs alternatives

  Google states they can “collect information” from Google-hosted content such as Docs by means of automated scanning. 

  Not only does this stoke spying fears, it also raises concerns over who holds power over your content. If they look through your docs and decide that you’ve violated their terms of service, you can get locked out of your Google Docs – as was the case when a National Geographic crime reporter had her story “frozen” by Google.

  LibreOffice

  LibreOffice is a free, open-source office suite with all the features you need to create and edit documents, presentations and spreadsheets. It’s compatible with many different languages and all Microsoft Office file formats. 

  Unlike Google Docs, LibreOffice doesn’t store your documents on the Cloud. As it runs on your own computer, you maintain complete control and the data is kept as private and as secure as you wish. LibreOffice also has an online version that works with most web browsers and can be used on Windows, Mac and Linux operating systems. 

  The open-source nature ensures security as the code is constantly improved and scouted for vulnerabilities.

  

  Nextcloud Office

  Like Google Docs, Nextcloud Office lets you create new documents and spreadsheets and collaborate with teammates or colleagues. But unlike Google Docs, Nextcloud doesn’t collect any data on who is using its platform, or what they’re doing on it. You can even encrypt the files you store in Nextcloud, so no one else can see them unless you give them access to your account.

  

  Google Keep alternative

  Standard Notes

  Standard Notes is an open-source online notebook app that offers a variety of useful features, such as tasks, to-dos and spreadsheets. 

  Unlike Google Keep, which has access to your notes, Standard Notes is end-to-end encrypted, which protects all your information and keeps it securely synced across all your devices. Standard Notes supports text, images and audio notes. As open-source software, they value transparency and trust and don’t rely on tracking or intrusive ads.

  

  Google Chrome alternatives

  Google Chrome is notorious for stalking users and collecting information for their own gains. Their browser fuels their data gathering infrastructure by being able to collect info about your search history, location, personal data and product interaction data for “personalisation” purposes – essentially to build a profile of you to sell to advertisers.

  Firefox

  Firefox is one of the most secure browsers for privacy and is trusted by 220 million users. It easily compares with Chrome in terms of ease of use and performance. 

  On top of that it offers enhanced privacy protections, so you get a browser that doesn’t stalk you and isn’t riddled with ads.

  

• Google Analytics 4 (GA4) vs Universal Analytics (UA)

  24 janvier 2022, par Erin — Analytics Tips

  March 2022 Update : It’s official ! Google announced that Universal Analytics will no longer process any new data as of 1 July 2023. Google is now pushing Universal Analytics users to switch to the latest version of GA – Google Analytics 4. 

  Currently, Google Analytics 4 is unable to accept historical data from Universal Analytics. Users need to take action before July 2022, to ensure they have 12 months of data built up before the sunset of Universal Analytics

  So how do Universal Analytics and Google Analytics 4 compare ? And what alternative options do you have ? Let’s dive in. 

  In this blog, we’ll cover :

  What is Google Analytics 4 ? 

  In October 2020, Google launched Google Analytics 4, a completely redesigned analytics platform. This follows on from the previous version known as Universal Analytics (or UA).

  Amongst its touted benefits, GA4 promises a completely new way to model data and even the ability to predict future revenue. 

  However, the reception of GA4 has been largely negative. In fact, some users from the digital marketing community have said that GA4 is awful, unusable and so bad it can bring you to tears.

  

  

  Google Analytics 4 vs Universal Analytics

  There are some pretty big differences between Google Analytics 4 and Universal Analytics but for this blog, we’ll cover the top three.

  1. Redesigned user interface (UI)

  GA4 features a completely redesigned UI to Universal Analytics’ popular interface. This dramatic change has left many users in confusion and fuelled some users to declare that “most of the time you are going round in circles to find what you’re looking for.”

  

  2. Event-based tracking

  Google Analytics 4 also brings with it a new data model which is purely event-based. This event-based model moves away from the typical “pageview” metric that underpins Universal Analytics.

  3. Machine learning insights

  Google Analytics 4 promises to “predict the future behavior of your users” with their machine-learning-powered predictive metrics. This feature can “use shared aggregated and anonymous data to improve model quality”. Sounds powerful, right ?

  Unfortunately, it only works if at least 1,000 returning users triggered the relevant predictive condition over a seven-day period. Also, if the model isn’t sustained over a “period of time” then it won’t work. And according to Google, if “the model quality for your property falls below the minimum threshold, then Analytics will stop updating the corresponding predictions”.

  This means GA4’s machine learning insights probably won’t work for the majority of analytics users.

  Ultimately, GA4 is just not ready to replace Google’s Universal Analytics for most users. There are too many missing features.

  What’s missing in Google Analytics 4 ?

  Quite a lot. Even though it offers a completely new approach to analytics, there are a lot of key features and functions missing in GA4.

  Behavior Flow

  The Behavior Flow report in Universal Analytics helps to visualise the path users take from one page or Event to the next. It’s extremely useful when you’re looking for quick and clear insight. But it no longer exists in Google Analytics 4, and instead, two new overcomplicated reports have been introduced to replace it – funnel exploration report and path exploration report.

  The decision to remove this critical report will leave many users feeling disappointed and frustrated. 

  Limitations on custom dimensions

  You can create custom dimensions in Google Analytics 4 to capture advanced information. For example, if a user reads a blog post you can supplement that data with custom dimensions like author name or blog post length. But, you can only use up to 50, and for some that will make functionality like this almost pointless.

  Machine learning (ML) limitations

  Google Analytics 4 promises powerful ML insights to predict the likelihood of users converting based on their behaviors. The problem ? You need 1,000 returning users in one week. For most small-medium businesses this just isn’t possible.

  And if you do get this level of traffic in a week, there’s another hurdle. According to Google, if “the model quality for your property falls below the minimum threshold, then GA will stop updating the corresponding predictions.” To add insult to injury Google suggests that this might make all ML insights unavailable. But they can’t say for certain… 

  Views

  One cornerstone of Universal Analytics is the ability to configure views. Views allow you to set certain analytics environments for testing or cleaning up data by filtering out internal traffic, for example. 

  Views are great for quickly and easily filtering data. Preset views that contain just the information you want to see are the ideal analytics setup for smaller businesses, casual users, and do-it-yourself marketing departments.

  

  There are a few workarounds but they’re “messy [,] annoying and clunky,” says a disenfranchised Redditor.

  Another helpful Reddit user stumbled upon an unhelpful statement from Google. Google says that they “do not offer [the views] feature in Google Analytics 4 but are planning similar functionality in the future.” There’s no specific date yet though.

  Bounce rate

  Those that rely on bounce rate to understand their site’s performance will be disappointed to find out that bounce rate is also not available in GA4. Instead, Google is pushing a new metric known as “Engagement Rate”. With this metric, Google now uses their own formula to establish if a visitor is engaged with a site.

  Lack of integration

  Currently, GA4 isn’t ready to integrate with many core digital marketing tools and doesn’t accept non-Google data imports. This makes it difficult for users to analyse ROI and ROAS for campaigns measured in other tools. 

  Content Grouping

  Yet another key feature that Google has done away with is Content Grouping. However, as with some of the other missing features in GA4, there is a workaround, but it’s not simple for casual users to implement. In order to keep using Content Grouping, you’ll need to create event-scoped custom dimensions.

  Annotations 

  A key feature of Universal Analytics is the ability to add custom Annotations in views. Annotations are useful for marking dates that site changes were made for analysis in the future. However, Google has removed the Annotations feature and offered no alternative or workaround.

  Historical data imports are not available

  The new approach to data modelling in GA4 adds new functionality that UA can’t match. However, it also means that you can’t import historical UA data into GA4. 

  Google’s suggestion for this one ? Keep running UA with GA4 and duplicate events for your GA4 property. Now you will have two different implementations running alongside each other and doing slightly different things. Which doesn’t sound like a particularly streamlined solution, and adds another level of complexity.

  Should you switch to Google Analytics 4 ?

  So the burning question is, should you switch from Universal Analytics to Google Analytics 4 ? It really depends on whether you have the available resources and if you believe this tool is still right for your organisation. At the time of writing, GA4 is not ready for day-to-day use in most organisations.

  If you’re a casual user or someone looking for quick, clear insights then you will likely struggle with the switch to GA4. It appears that the new Google Analytics 4 has been designed for enterprise-scale businesses with large internal teams of analysts.

  

  Unfortunately, for most casual users, business owners and do-it-yourself marketers there are complex workarounds and time-consuming implementations to handle. Ultimately, it’s up to you to decide if the effort to migrate and relearn GA is worth it.

  Right now is the best time to draw the line and make a decision to either switch to GA4 or look for a better alternative to Google Analytics.

  Google Analytics alternative

  Matomo is one of the best Google Analytics alternatives offering an easy to use design with enhanced insights on our Cloud, On-Premise and on Matomo for WordPress solutions. 

  

  Matomo is an open-source analytics solution that provides a comprehensive, user-friendly and compliance-focused alternative to both Google Analytics 4 and Universal Analytics.

  The key benefits of using Matomo include :

  • Easy to use – Matomo provides a simpler interface and understandable KPIs. See for yourself with our live demo. 
  • Compliance – Future-proof your tech stack for looming privacy regulations. Matomo covers all of your ePrivacy, GDPR, HIPAA, CCPA, and PECR data compliance requirements. 
  • Data privacy and ownership – Your analytics data is 100% yours to own, with no external parties looking in.
  • Flexible, all-in-one solution – Get features like A/B Testing, Heatmaps, Session Recordings, SEO Web Vitals, Tag Manager, Media Analytics, Search Engine Keyword Performance, custom reports and much more. 
  • Integrations galore – Expand your Matomo capabilities by adding integrations from over 100 leading technologies.

  Plus, unlike GA4, Matomo will accept your historical data from UA so you don’t have to start all over again. Check out our 7 step guide to migrating from Google Analytics to find out how.

  Getting started with Matomo is easy. Check out our live demo and start your free 21-day trial. No credit card required.

  In addition to the limitations and complexities of GA4, there are many other significant drawbacks to using Google Analytics.

  Google’s data ethics are a growing concern of many and it is often discussed in the mainstream media. In addition, GA is not GDPR compliant by default and has resulted in 200k+ data protection cases against websites using GA.

  What’s more, the data that Google Analytics actually provides its end-users is extrapolated from samples. GA’s data sampling model means that once you’ve collected a certain amount of data Google Analytics will make educated guesses rather than use up its server space collecting your actual data. 

  The reasons to switch from Google Analytics are rising each day. 

  Wrap up

  The now required update to GA4 will add new layers of complexity, which will leave many casual web analytics users and marketers wondering if there’s a better way. Luckily there is. Get clear insights quickly and easily with Matomo – start your 21-day free trial now.