Erfolgreiche Google Analytics Migration in 6 Schritten

GA4: Successful Google Analytics migration in 6 steps

The future of data analytics

Deadline approaching: Google Analytics 4 revolutionises data analysis for companies

On 1 July 2023, Google changed its website analytics tool: Instead of Universal Analytics, all data will now be measured with Google Analytics 4 (GA4). But what happens to the historical data that was measured with Universal Analytics? Are they lost? Is it already too late to switch to GA4? What do we need to do now and what does GA4 bring us compared to the previous version? 

 

Find out in our blog why it still makes sense to switch to GA4 now and how you can benefit from the new functions.

Since 1 July 2023, only the new GA4 is available for website analytics.

This update offers breakthrough features and improved data analytics that are essential for businesses across a range of industries and sectors. Whether it's e-commerce, services or media, using GA4 allows you to make data-driven decisions and effectively optimise your digital presence. 

 

Find out why the switch to GA4 is inevitable and how you can benefit from the new functions.

Google Analytics

Google Analytics in a Nutshell: What you need to know

Erfolgreich auf Google Analytics 4 migrieren mit KPS!
Regardless of the industry or size of the business, Google Analytics provides valuable insights and data to help make fact-based decisions and drive digital success.
  • Understanding visitor behaviour: By analysing the data in Google Analytics, you gain insights into the behaviour of visitors to your website. You get information about which pages are visited most often, how long visitors stay on the website and how they interact with the content. This information helps optimise the website to improve the user experience and increase conversion rates.
  • Goal tracking and conversion optimisation: Google Analytics can be used to define goals and set up conversion funnels. A conversion funnel is the step-by-step process of converting website visitors into paying customers. It helps to identify bottlenecks and improve the conversion rate. You can measure the success of specific actions on your website, such as completing a purchase or filling out a contact form.
  • Measure the performance of online marketing activities: Using Google Analytics, you are able to monitor which channels generate the most traffic, which campaigns are successful and how visitors respond to different marketing messages. This helps to allocate budgets and optimise the marketing strategy to get the best result from the resources invested
  • Personalising the user experience: By using Google Analytics, you can personalise and tailor your website.

Google Analytics is an indispensable tool for businesses and website owners to understand visitor behaviour, increase conversion rates, measure online marketing effectiveness and improve user experience. Regardless of the industry or size of the business, Google Analytics provides valuable insights and data to help make fact-based decisions and drive digital success.

Die Vorteile von Google Analytics 4

Universal vs GA4

Google Analytics Migration: What are the main differences between Universal and GA4?

At a glance: Google Universal Analytics vs. Google Analytics 4 in comparison with regard to back-end, functionality and user-friendliness.

KPS Google Analytics Migration: Universal vs GA4

Universal vs GA4

The main differences

At a glance: How do Google Universal Analytics and the new version Google Analytics 4 differ? A comparison in terms of back-end, functionality and user-friendliness.
KPS Google Analytics Migration: Universal vs GA4

Google Universal Analytics will only record data until 30 June 2023! Therefore, switch to Google Analytics 4 promptly to benefit from the latest features and improvements and to continue managing your data. Moving to Google Analytics 4 allows for more comprehensive data collection and analysis, improved integration across platforms and enhanced support for privacy and consent.

In 6 steps to GA4

How to get started with the migration to GA4?

1. Defining the GA4 account structure

Universal Analytics uses views to create separate collections of data, such as geographic separations or separations by business unit. In GA4 you can perform this type of data separation in different ways, which may affect the account structure you create in GA4.

 

Effort level: Variable according to requirements

Definition der GA4-Kontostruktur

1. Determining GA4 characteristics

Use the GA4 (setup) wizard to set up your GA4 property(ies) alongside your existing Universal Analytics property.

 

Effort level: Very low

Erstellung GA4-Eigenschaften

1. Creating data streams

A data stream is a flow of data from your website or app to Google Analytics. There are 3 types of data streams: web (for websites), iOS (for iOS apps) and Android (for Android apps).

 

Effort level: Very low

Erstellung Datenströme

1. Activating the data capture

To see data in your new GA4 property, you need to add the Analytics tag to your web pages.

 

Effort level: Variable according to requirements

Aktivieren Sie die Datenerfassung

1. Activating Google signals

For enhanced remarketing as well as more comprehensive reporting, activate Google signals.

 

Effort level: Very low

Aktivierun der Google-Signale

1. Connecting with Google Ads

Use the Google Ads Link Migration tool to quickly import your Google Ads links from your Universal Analytics property to your connected GA4 property.

 

Effort level: Very low

Verknüpfung mit Google Ads

1. Defining the GA4 account structure

Universal Analytics uses views to create separate collections of data, such as geographic separations or separations by business unit. In GA4 you can perform this type of data separation in different ways, which may affect the account structure you create in GA4.

 

Effort level: Variable according to requirements

Definition der GA4-Kontostruktur

1. Determining GA4 characteristics

Use the GA4 (setup) wizard to set up your GA4 property(ies) alongside your existing Universal Analytics property.

 

Effort level: Very low

Erstellung GA4-Eigenschaften

1. Creating data streams

A data stream is a flow of data from your website or app to Google Analytics. There are 3 types of data streams: web (for websites), iOS (for iOS apps) and Android (for Android apps).

 

Effort level: Very low

Erstellung Datenströme

1. Activating the data capture

To see data in your new GA4 property, you need to add the Analytics tag to your web pages.

 

Effort level: Variable according to requirements

Aktivieren Sie die Datenerfassung

1. Activating Google signals

For enhanced remarketing as well as more comprehensive reporting, activate Google signals.

 

Effort level: Very low

Aktivierun der Google-Signale

1. Connecting with Google Ads

Use the Google Ads Link Migration tool to quickly import your Google Ads links from your Universal Analytics property to your connected GA4 property.

 

Effort level: Very low

Verknüpfung mit Google Ads

We have already been able to accompany many of our clients during the changeover to Google Analytics 4. With targeted projects such as KPS Google Growth, the Google Analytics migration can be implemented in a focused manner.

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Start migrating to GA4 now. Update your tracking codes, migrate your data and make sure you comply with data protection regulations.

 

Do you have questions about the transition to GA4 or need support with the implementation?

 

Sign up now for a free GA4 consultation with KPS to realise the full potential of GA4 and adapt your analytics strategy. By taking these steps, you will remain competitive and continue to gain valuable insights into your online business.

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The end of third-party cookies

As part of its Instant Personalisation strategy, KPS has developed a four-step plan to successfully transition into the post-cookie era. The goal of the strategic reorientation is the implementation of a comprehensive personalisation strategy - networked, across all marketing channels.

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Cookie Name: hide-cookieinfo
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LinkedIn Tag

Cookie Name: li_oatml
Storage duration: 30 days
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Cookie Name: lidc
Storage duration: 24 hours
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Cookie Name: lissc
Storage duration: 365 days
Description: This cookie ensures that all cookies in this browser use the same SameSite attribute.

Cookie Name: s_sq
Storage duration: Session
Description: Adobe Analytics uses this cookie to store information about the previous link that a user clicked on.

Cookie Name: AMCVS_14215E3D5995C57C0A495C55%40AdobeOrg    Storage duration: Session
Description: For the Adobe Experience Cloud, this cookie indicates when a session began.

Cookie Name: lang
Storage duration: Session
Description: This cookie remembers the language setting of a user.

Cookie Name: s_cc
Storage duration: Session
Description: This cookie is used by Adobe Analytics to determine whether cookies are enabled.

Cookie Name: UserMatchHistory
Storage duration: 30 days
Description: This cookie is used to synchronize the IDs of LinkedIn Ads.

Cookie Name:  AMCV_14215E3D5995C57C0A495C55%40AdobeOrg   
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Cookie Name: bcookie
Storage duration: 730 days
Description: This cookie is a browser identification. It is used to uniquely identify devices accessing LinkedIn in order to detect misuse of the platform.

Cookie Name: _ga
Storage duration: 730 days
Description: This is a cookie for Google Analytics.

Cookie Name: _gid
Storage duration: 24 hours
Description: This is a cookie for Google Analytics.

Lead Forensic

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Storage duration: 10 years
Description: Allows a website to track visitor behavior on the sites.

HubSpot

Cookie Name: __hstc
Storage duration: 6 months
Description: It contains the domain, utk, initial timestamp (first visit), last timestamp (last visit), current timestamp (this visit), and session number (increments for each subsequent session).

Cookie Name: __hubspotutk
Storage duration: 6 months
Description: It contains an opaque GUID to represent the current visitor.

Cookie Name: __hssc
Storage duration: 30 minutes
Description: This is used to determine if HubSpot should increment the session number and timestamps in the __hstc cookie. It contains the domain, viewCount (increments each pageView in a session), and session start timestamp.

Cookie Name: __hssrc
Storage duration: expires at the end of the session
Description:Whenever HubSpot changes the session cookie, this cookie is also set to determine if the visitor has restarted their browser. If this cookie does not exist when HubSpot manages cookies, it is considered a new session.

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