How To Use Google Analytics 4 For Your Website

The digital landscape evolves at breakneck speed, and staying ahead means mastering your data. For any founder, startup team, digital marketer, or small business owner, understanding website performance isn’t just a luxury – it’s a fundamental requirement for survival and growth. That’s why knowing how to use Google Analytics 4 for your website isn’t just advisable; it’s non-negotiable.

For years, Universal Analytics (UA) was the bedrock of web analytics. But as the internet shifted towards cross-device experiences and privacy-centric browsing, a new paradigm was needed. Enter Google Analytics 4 (GA4) – a completely re-engineered platform designed for the future, centered around an event-driven data model rather than sessions. If you’ve been clinging to UA, it’s time to let go; Google officially sunset Universal Analytics on July 1, 2023, meaning historical data ceased processing in UA properties.

Let’s be blunt: Ignoring GA4 is like driving blind in a race. It means missing critical insights into user behavior, failing to optimize your marketing spend, and ultimately, leaving revenue on the table. This comprehensive guide from Eamped isn’t just about the technicalities; it’s about empowering you to harness GA4’s power to drive strategic decisions, identify growth opportunities, and ensure your website isn’t just a presence, but a potent profit center.

By the end of this article, you’ll not only understand the core mechanics of GA4 but also gain actionable strategies to implement it effectively. We’ll demystify its interface, clarify its unique data model, and show you how to extract the insights that matter most for your business.

The Unavoidable Shift to GA4: Why It Matters for Your Business Growth

The transition from Universal Analytics to Google Analytics 4 isn’t merely an update; it’s a fundamental shift in how we track and understand user behavior. If you’re running a modern business, your users interact with your brand across multiple touchpoints – your website, a mobile app, perhaps even a physical store. UA struggled to stitch these disparate interactions together seamlessly. GA4, built from the ground up, solves this by prioritizing a user-centric, event-driven data model.

Here’s the deal: GA4 is designed to answer complex business questions about the entire customer journey, not just individual website sessions. This means better attribution modeling, more accurate cross-platform tracking, and a deeper understanding of user engagement. For startups and growing businesses, this translates directly into:

• Smarter Marketing Spend: Understand which channels truly drive valuable actions, not just traffic.
• Optimized User Experience: Identify bottlenecks and points of friction in your user flows across web and app.
• Predictive Capabilities: GA4 uses machine learning to offer insights like churn probability and potential revenue, allowing you to proactively adapt your strategies.
• Privacy-Centric Design: Built with privacy regulations like GDPR and CCPA in mind, it’s designed to function in a cookieless future.

Ignoring this shift isn’t an option. Embracing GA4 now means future-proofing your analytics strategy and equipping your team with the data necessary to make informed, growth-oriented decisions. This is about staying competitive and understanding your customers better than ever before.

Getting Started: Setting Up and Navigating Your GA4 Property

Before you can truly learn how to use Google Analytics 4 for your website, you need to set it up correctly. This foundational step is critical for ensuring accurate data collection.

Step 1: Create a GA4 Property

1. Go to analytics.google.com.
2. If you have an existing Universal Analytics account, Google might prompt you to use the “GA4 Setup Assistant.” This is the easiest way to add a GA4 property to your existing account structure.
3. If starting fresh, click “Admin” (the gear icon at the bottom left).
4. In the “Property” column, click “Create Property.”
5. Follow the prompts: give your property a name (e.g., “YourCompanyName – GA4”), select your reporting time zone and currency.

Step 2: Set Up Data Streams

A data stream is the source of data for your GA4 property. You’ll typically set up a “Web” data stream for your website.

1. After creating your property, you’ll be directed to the “Data Streams” page. If not, go to Admin > Data Streams.
2. Click “Add stream” and select “Web.”
3. Enter your website URL (e.g., https://www.yourcompany.com) and give your stream a name (e.g., “YourCompany Website”).
4. Crucially, ensure “Enhanced measurement” is toggled ON. This automatically tracks events like page views, scrolls, outbound clicks, site search, video engagement, and file downloads without additional tag implementation – a huge time-saver for startups.
5. Click “Create stream.”

Step 3: Implement the GA4 Tracking Code

Once your web data stream is created, you’ll get a “Measurement ID” (G-XXXXXXXXX). You need to place the GA4 tracking code on every page of your website.

• Google Tag Manager (GTM) – Recommended: If you use GTM, this is the most efficient method.
  1. In GTM, create a new Tag.
  2. Choose “Google Analytics: GA4 Configuration.”
  3. Enter your Measurement ID (G-XXXXXXXXX).
  4. Set the Trigger to “All Pages.”
  5. Publish your GTM container.
• Direct Website Code (Global Site Tag – gtag.js):
  1. In your GA4 Data Stream details, find “View tag instructions” and then select “Install manually.”
  2. Copy the entire gtag.js code snippet.
  3. Paste this code into the <head> section of every page on your website, immediately after the opening <head> tag.
• Website Builder Integrations: Many platforms (WordPress, Shopify, Squarespace) have dedicated fields or plugins to easily integrate your GA4 Measurement ID. Consult your platform’s documentation.

Step 4: Verify Installation

To ensure data is flowing correctly:

1. Go to your GA4 property and navigate to the “Realtime” report.
2. Open your website in a new tab and browse a few pages.
3. You should see your activity appear in the Realtime report within seconds.

Savvy Tip: Don’t forget to link your Google Search Console property to GA4 (Admin > Product links > Search Console). This integrates crucial organic search performance data directly into your GA4 reports, giving you a holistic view of your SEO efforts right alongside user behavior.

Understanding the Event-Driven Data Model: The Core of GA4

This is where GA4 truly distinguishes itself from its predecessor, and understanding it is key to unlocking its power. While Universal Analytics revolved around “sessions” and “page views,” GA4 operates on an “event-driven” model. Everything a user does on your website or app is considered an event.

Think of it like this: In UA, you’d track a page view, then perhaps an event for a button click, and another for a form submission – each as separate hits within a session. In GA4, a page view is itself an event. A button click is an event. A video play is an event. A purchase is an event. This unified approach provides a much more flexible and granular understanding of user interactions across various platforms.

Key Concepts:

• Events: A distinct user interaction or system occurrence (e.g., page_view, click, first_visit, add_to_cart, signup_successful).
• Parameters: Additional pieces of information that describe an event. For a page_view event, parameters might include page_location (the URL) and page_title. For an add_to_cart event, parameters could be item_id, item_name, and value.
• User Properties: Attributes that describe the user themselves (e.g., user_id, gender, country, is_subscriber). These remain constant or change slowly over time.

Types of Events in GA4:

1. Automatically Collected Events: These are collected by default once you install the GA4 base code. Examples include first_visit, session_start, and user_engagement. These provide foundational data about user interaction.
2. Enhanced Measurement Events: If enabled in your Web Data Stream settings (which you should always do!), GA4 automatically collects additional valuable events without needing extra code. These include:
   • page_view (every time a page loads)
   • scroll (when a user scrolls 90% down a page)
   • click (outbound clicks to other domains)
   • view_search_results (when a user performs a site search)
   • video_start, video_progress, video_complete (for embedded YouTube videos)
   • file_download (when a user clicks a link to download a common file type)
3. Recommended Events: These are predefined event names and parameters suggested by Google for specific industries or scenarios (e.g., `generate_lead` for lead generation, `purchase` for e-commerce). While not collected automatically, using Google’s recommendations ensures compatibility with future GA4 features and reporting.
4. Custom Events: For everything else specific to your business logic. These are events you define yourself, giving you ultimate flexibility. For a SaaS company, this might be trial_started, feature_used, or subscription_upgraded. For a content site, it could be article_read_complete or comment_posted.

Actionable Tip: Don’t just track events; plan them strategically. Before implementing custom events, map out your key user journeys and the crucial actions users take. What defines a successful interaction with your website? What are the micro-conversions leading to a macro-conversion? Define these events and their relevant parameters first. Use Google Tag Manager to implement custom events for better control and flexibility.

“In the world of startups, every user interaction is a data point. GA4 allows you to connect those dots like never before, building a full picture of your customer’s journey, not just snapshots.”

Key Reports for Strategic Decision-Making: What to Look For

Once data starts flowing, it’s time to dive into the reports. GA4’s interface is different from UA, focusing on a more streamlined, user-centric view. The default reports are categorized to help you understand the user lifecycle.

1. Life Cycle Reports: Understand Your Customer’s Journey

• Acquisition:
  • Overview: See top channels, campaigns, and sources driving new users and engaged sessions.
  • User acquisition: Focuses specifically on new users and the channels that brought them in.
  • Traffic acquisition: Looks at all sessions and where they came from.

  Practical Use: For a new SaaS product, you’d use this to see if your paid social campaigns (e.g., LinkedIn Ads) are bringing in high-quality new users who then engage with your site, versus just high traffic from a less relevant source.

• Engagement: This is a powerful section in GA4, reflecting the platform’s focus on actual user interaction.
  • Overview: Quick glance at engaged sessions, average engagement time, and events.
  • Events: A list of all events triggered on your site, showing counts and total users. Crucial for validating your custom events.
  • Conversions: Shows your defined conversion events and their performance. (More on this in the next section).
  • Pages and screens: Identifies your most popular content and the engagement metrics associated with them.

  Practical Use: If you run an e-commerce store, check “Pages and screens” to see which product pages have high engagement time but low “add_to_cart” events. This might indicate a content or UX issue on those specific pages.

• Monetization: (Primarily for e-commerce and app businesses)
  • Overview: Revenue, e-commerce purchases, total purchasers, average purchase revenue.
  • E-commerce purchases: Detailed product performance (items viewed, added to cart, purchased).
  • In-app purchases & Publisher ads: For mobile apps.

  Practical Use: An e-commerce business uses this to identify best-selling products, understand average order value, and track the impact of promotions on revenue.

• Retention: Crucial for subscription models and building loyalty.
  • Overview: New vs. returning users, user retention, user engagement by cohort.
  • User retention: Shows the percentage of users returning over time.

  Practical Use: A content startup needs to see if users acquired from a particular blog post are returning in subsequent weeks. Low retention from a specific source might mean you’re attracting the wrong audience or your content isn’t sticky enough.

2. User Reports: Who Are Your Customers?

• Demographics: Age, gender, interests (if data is available and consented).

  Practical Use: Confirming if your target audience aligns with your actual user base. If you’re targeting Gen Z but seeing mostly Baby Boomers, you have a marketing alignment problem.

• Tech: Device categories, browsers, operating systems.

  Practical Use: Identifying if your website performs poorly on a specific browser or mobile device, which could be impacting conversion rates for a significant segment of your audience.

3. Realtime Report: Immediate Impact Assessment

This report shows what’s happening on your website right now. It’s invaluable for:

• Verifying your GA4 implementation and event tracking after changes.
• Monitoring the immediate impact of a new campaign, content launch, or website change.
• Seeing where users are geographically and what events they’re triggering in the moment.

Actionable Tip: Don’t just passively view these reports. Ask questions. “Why did engagement drop on mobile for this page?” “Which acquisition channels bring in users who convert most frequently?” Use these reports as starting points for deeper analysis, which often leads to the Explore section.

Mastering Conversions and Custom Events for Growth Hacking

For any business, certain user actions are more valuable than others. These are your “conversions” – the goals that directly contribute to your business objectives. In GA4, every conversion is simply an event that you’ve marked as important.

Defining Conversions in GA4

Unlike UA goals, GA4 conversions are purely event-based. Any event can be marked as a conversion. This provides immense flexibility.

1. Go to “Admin” (gear icon).
2. Under “Property” settings, click “Events.”
3. You’ll see a list of all events being collected. For any event you deem a conversion (e.g., generate_lead, purchase, signup_successful), toggle the “Mark as conversion” switch to ON.
4. Wait a few minutes, and that event will start appearing in your “Conversions” reports.

Example: For a B2B SaaS website, typical conversion events might include:

• form_submit_contact (user submits a contact form)
• demo_requested (user clicks a “Request Demo” button and lands on a thank-you page)
• trial_signup (user completes the trial signup process)

For an e-commerce site, the primary conversion is usually purchase, but you might also track add_to_cart or begin_checkout as important micro-conversions.

Setting Up Custom Events for Granular Tracking

While Enhanced Measurement covers many basic interactions, your business likely has unique, critical actions that aren’t automatically tracked. This is where custom events, often implemented via Google Tag Manager (GTM), come into play.

Scenario: You want to track when users successfully download a specific whitepaper (a lead magnet) and distinguish it from other file downloads.

1. In GTM, create a new Tag:
   • Tag Type: “Google Analytics: GA4 Event.”
   • Configuration Tag: Select your GA4 Configuration Tag.
   • Event Name: Choose a descriptive name, like whitepaper_download.
   • Event Parameters: Add custom parameters to provide context. For example:
     • Parameter Name: whitepaper_title, Value: The Future of AI in Marketing
     • Parameter Name: whitepaper_id, Value: wp001
2. Create a Trigger for this Tag:
   • Trigger Type: “Click – All Elements” (or “Page View – Some Pages” if the download is on a specific thank you page).
   • Configure the trigger to fire only when the whitepaper download link is clicked (e.g., “Click URL contains /downloads/ai-marketing-whitepaper.pdf”) or when the thank-you page URL matches.
3. Publish your GTM container.
4. In GA4, go to “Admin” > “Custom definitions” > “Custom dimensions.”
   • Click “Create custom dimension.”
   • Name: Whitepaper Title (User-friendly name)
   • Scope: Event
   • Event parameter: whitepaper_title (The exact parameter name you used in GTM).
   • Repeat for Whitepaper ID.

   Why Custom Dimensions? By registering your event parameters as custom dimensions, you can use them in standard GA4 reports (like the Events report) and Explorations to filter, segment, and get more detailed insights. Without this step, you can only see the raw event count.

5. Mark whitepaper_download as a conversion in GA4 (as described above).

Actionable Tip: Regularly review your conversion events. Are they still relevant to your business goals? Are there new actions users are taking that should be tracked as conversions? As your business evolves, so should your conversion strategy.

Unlocking Deeper Insights with GA4’s Explore Section (formerly Analysis Hub)

While the standard GA4 reports provide excellent overviews, the “Explore” section is where the magic truly happens for data-driven entrepreneurs and marketers. This powerful feature allows you to build custom reports, drill down into specific user segments, and uncover insights that might be hidden in aggregate data.

Think of the standard reports as pre-made dashboards, and the Explore section as your fully customizable data laboratory.

Key Exploration Types and Their Practical Applications:

Access the Explore section by clicking “Explore” in the left-hand navigation.

1. Free-form Exploration:

   This is your most versatile tool. It’s a drag-and-drop canvas where you can build custom tables and charts using any combination of dimensions (like “Source,” “Page title,” “Device category”) and metrics (like “Active users,” “Engaged sessions,” “Conversions,” “Event count”).

   • Practical Use: Compare engagement metrics for users coming from different marketing channels on specific landing pages. For a startup, you might want to see users acquired via “LinkedIn Ads” vs. “Organic Search” and how they interact with your “Pricing” page. Create a table with “Session acquisition channel” as rows, “Page path” as columns, and “Engaged sessions” as values.
2. Funnel Exploration:

   Absolutely critical for understanding user journeys and identifying drop-off points in multi-step processes (e.g., signup flow, checkout process, lead generation funnel).

   • Practical Use: A SaaS company’s onboarding funnel:
     1. Step 1: page_view (path: /signup)
     2. Step 2: form_start (custom event when user begins filling form)
     3. Step 3: form_submit_success (custom event when form is completed)
     4. Step 4: email_verified (custom event after email verification)

     The funnel visualization will immediately show where users are abandoning the process, allowing you to prioritize UX improvements.

3. Path Exploration:

   Unlike Funnel Exploration which is predefined, Path Exploration helps you discover the actual paths users take. It visualizes the sequence of events and pages visited, both forwards and backwards from a specific event or page.

   • Practical Use: Discover unexpected user journeys after a user lands on a key feature page. You might find that many users, after viewing your “Integrations” page, go to “Contact Us” rather than “Pricing,” suggesting a need for clearer pricing information on the integrations page. Or, conversely, identify common successful paths that lead to conversion.
4. Segment Overlap:

   Helps you understand how different user segments interact and overlap. For example, how many users who viewed a certain product also interacted with your blog, and how many did both?

   • Practical Use: Identify commonalities between users who convert and users who engage with specific content. For an EdTech platform, this could be seeing the overlap between “users who completed a course” and “users who downloaded a study guide.” This informs content strategy and lead nurturing.
5. User Exploration:

   Allows you to examine the individual activities of specific users (anonymized by default). You can filter down to a specific user and see their entire event stream.

   • Practical Use: Debugging. If a user reports an issue, you can filter by their User-ID (if collected) to see their exact sequence of events leading up to the problem. It’s also great for qualitative research to understand specific user behaviors.
6. Cohort Exploration:

   Groups users with a common characteristic (the cohort) and observes their behavior over time.

   • Practical Use: Track the retention of users acquired during a specific marketing campaign. Did users from the Black Friday sale have better long-term retention than users from a typical week? This helps assess the quality of different acquisition efforts.

Actionable Tip: Don’t be intimidated by the Explore section. Start with a specific business question. “Where are users dropping off in my checkout process?” (Funnel Exploration). “What are users doing immediately after signing up for a trial?” (Path Exploration). The more focused your question, the easier it is to build the right report and get actionable answers.

Integrating GA4 with Other Google Products for a Holistic View

Your website data doesn’t exist in a vacuum. The true power of GA4 shines when integrated with other tools in your marketing and analytics stack, especially those from Google. These integrations provide a comprehensive view of your digital performance, closing the loop on campaigns and enriching your data for advanced analysis.

1. Google Ads: Close the Loop on Campaign Performance

How to Integrate: Admin > Product links > Google Ads links.

Why it’s Crucial:

• Better Attribution: Import GA4 conversions into Google Ads for more accurate campaign optimization. GA4’s data-driven attribution model can give a more nuanced view of credit across touchpoints than last-click.
• Audience Sharing: Share GA4 audiences (e.g., “users who added to cart but didn’t purchase”) with Google Ads for highly targeted remarketing campaigns.
• Campaign Performance in GA4: View your Google Ads campaign data (cost, clicks, impressions) directly within GA4 reports (e.g., Acquisition reports), allowing you to correlate ad spend with on-site engagement and conversions.

Actionable Example: A startup running Google Ads campaigns for a new feature can see which ad groups lead to the highest feature_used custom events in GA4, allowing them to shift budget towards more effective ads.

2. Google Search Console (GSC): SEO Insights Meet User Behavior

How to Integrate: Admin > Product links > Search Console links.

Why it’s Crucial:

• Organic Performance: See organic search queries, clicks, impressions, and average position alongside user behavior metrics (engagement rate, conversions) within GA4.
• Content Optimization: Identify which keywords bring users who then convert or engage deeply, and conversely, which high-impression keywords lead to low engagement, signaling a content mismatch.

Actionable Example: An Eamped content writer sees that specific long-tail keywords are bringing users with a high scroll event rate and long average engagement time on particular articles. This indicates strong content-keyword alignment and informs future content strategy.

3. Google Tag Manager (GTM): The Unsung Hero of Implementation

How it Integrates: GTM is not a direct “link” in GA4 but rather the recommended method for implementing GA4 tags and events.

Why it’s Crucial:

• Flexibility & Control: Deploy and manage all your GA4 events (enhanced measurement, recommended, custom) and custom dimensions without touching your website’s code.
• Efficiency: Make changes to your tracking strategy rapidly, test them, and publish, reducing reliance on developers and speeding up your iterative analytics process.
• Reduced Errors: GTM’s preview and debug modes help catch tagging errors before they go live, ensuring cleaner data.

Actionable Example: When launching a new product, a marketer can quickly set up custom events in GTM to track clicks on product features, video views of the product demo, and add-to-cart actions, all without needing a developer for each tag.

4. Google BigQuery: For the Data Power Users

How to Integrate: Admin > Product links > BigQuery links.

Why it’s Crucial:

• Raw Data Access: GA4 automatically exports raw event data (not sampled) to BigQuery (there’s a generous free tier for smaller datasets).
• Advanced Analysis: Perform complex SQL queries, combine GA4 data with other datasets (CRM, ERP), build custom machine learning models, and create highly specific dashboards using tools like Looker Studio (formerly Data Studio).

Actionable Example: A growth hacker could use BigQuery to analyze the customer lifetime value (CLTV) of users acquired from different marketing channels, beyond what GA4’s standard reports can provide, combining it with CRM data to understand true profitability.

Savvy Tip: Don’t try to integrate everything at once. Start with Google Ads and Search Console, as they provide immediate and tangible benefits for most businesses. As your analytics maturity grows, explore GTM for custom events and BigQuery for advanced data science.

Actionable Strategies: Turning GA4 Data into Business Growth

Data without action is just numbers. The real value of GA4 lies in its ability to inform strategic decisions that drive measurable growth. Here’s how founders, marketers, and business owners can leverage their GA4 insights:

1. Optimize Your Conversion Funnels

Leverage: Funnel Exploration, Path Exploration, Conversions Report.

Strategy: Identify where users are dropping off in critical processes (e.g., lead forms, checkout, signup). A high drop-off between “Add to Cart” and “Begin Checkout” might indicate issues with shipping costs or an overly complex first step. A high drop-off during a multi-step signup suggests friction in the user experience.

Action:

• Use Funnel Exploration to pinpoint the exact step with the largest abandonment.
• Run A/B tests on elements of that step (e.g., button copy, form fields, page layout).
• Review Path Exploration to see if users are getting sidetracked or leaving your site altogether at that stage.

Example: An EdTech startup finds 60% of users abandon after the “Course Selection” step in their enrollment funnel. They use Path Exploration to see if users are navigating to blog posts or FAQs instead, indicating confusion. They then add clearer course descriptions and an “Enrollment FAQ” directly on the selection page, reducing abandonment by 15%.

2. Personalize User Experiences and Content Delivery

Leverage: User Properties, Audiences, Engagement Reports, Free-form Exploration.

Strategy: Understand who your most engaged users are, what content they consume, and what features they use. Segment your audience based on behavior and demographics to deliver more relevant experiences.

Action:

• Create audiences in GA4 (e.g., “High-Value Blog Readers,” “Customers Who Purchased X,” “Users Who Viewed Demo Video but Didn’t Convert”).
• Export these audiences to Google Ads for highly targeted remarketing.
• Analyze the “Pages and screens” report to identify top-performing content and double down on similar topics or formats.

Example: An e-commerce brand identifies an audience of “Repeat Purchasers (3+ orders).” They share this audience with Google Ads and create a special ad campaign offering exclusive discounts on new arrivals, resulting in a higher conversion rate for this segment.

3. Improve Campaign Performance and Attribution

Leverage: Acquisition Reports, Conversion Reports, Google Ads Integration, Custom Dimensions.

Strategy: Don’t just track clicks; track the quality of traffic. Use GA4’s data-driven attribution (default model) to understand the true impact of each touchpoint in the conversion path, not just the last one.

Action:

• Compare conversion rates and engagement metrics across different acquisition channels (Organic Search, Paid Social, Email).
• Use “User Acquisition” report to see which channels bring in users with the highest average engagement time or lowest churn probability (predictive metric).
• Ensure all marketing campaign URLs use proper UTM tagging so GA4 can attribute traffic correctly.

Example: A software company notices that while “Direct” traffic has a high conversion rate (last touch), their “Display Ads” often serve as the first touchpoint for many conversions, as revealed by GA4’s data-driven attribution. They adjust their budget to increase brand awareness through display ads, knowing its early-stage influence.

4. Identify and Capitalize on High-Value User Segments

Leverage: Cohort Exploration, User Lifetime, Segment Overlap, Custom Dimensions.

Strategy: Discover groups of users who exhibit particularly desirable behaviors (e.g., high engagement, frequent purchases, low churn risk) and analyze their characteristics to attract more like them.

Action:

• Create a cohort of users who converted within their first 7 days. Use “Segment Overlap” to see common characteristics (e.g., device, initial landing page, demographic).
• Use “User Lifetime” to identify high-CLTV users and analyze their initial acquisition channels and engagement patterns.

Example: A mobile app identifies that users acquired through a specific influencer marketing campaign (tracked with custom UTMs and a custom dimension for ‘influencer_source’) have significantly higher retention rates after 30 days than average. They then double down on partnerships with similar influencers.

Final Word: GA4 is a powerful instrument, but it’s only as good as the questions you ask and the actions you take. Embrace experimentation, continuously monitor your data, and use these insights to iterate, optimize, and ultimately grow your business.

FAQ: Using Google Analytics 4 for Your Website

Q: What is the main difference between Universal Analytics (UA) and Google Analytics 4 (GA4)?

A: The main difference lies in their data models. UA is “session-based,” meaning it organizes data around user visits. GA4 is “event-driven,” where every user interaction (including page views) is an event. This allows GA4 to provide a more unified view of the user journey across websites and apps, handle cross-device tracking better, and offer more flexible reporting capabilities, especially with machine learning insights.

Q: Do I lose my historical Universal Analytics data when I switch to GA4?

A: Yes and no. Your historical UA data remains accessible in your UA property for a limited time (Google has announced a minimum of 6 months after the July 1, 2023 sunset, but this is subject to change). However, GA4 starts collecting data from scratch. There’s no direct migration of historical UA data into GA4 reports because the data models are fundamentally different. It’s crucial to download or export your historical UA data if you need it for long-term comparisons.

Q: Can I use both Universal Analytics and GA4 simultaneously?

A: Yes, and this was actually the recommended best practice during the transition period. By running both in parallel (often called “dual tagging”), you ensured continuous data collection with UA while building up historical data in your new GA4 property. Now that UA has sunset, new data will only be processed in GA4.

Q: How do I track conversions in GA4, and is it different from UA goals?

A: Yes, it’s different. In UA, you set up “goals” based on page views, events, or duration. In GA4, any event can be marked as a conversion. You simply navigate to “Admin” > “Events” and toggle the “Mark as conversion” switch for any event you consider a valuable action (e.g., generate_lead, purchase, a custom signup_complete event). This offers greater flexibility and aligns better with the event-driven model.

Q: What is Google Tag Manager (GTM), and why is it important for GA4?

A: Google Tag Manager is a tag management system that allows you to easily update measurement codes and related code snippets (tags) on your website or mobile app. For GA4, GTM is incredibly important because it provides a flexible way to implement the GA4 configuration tag, track enhanced measurement events, and, most critically, set up custom events and their parameters without needing to modify your website’s code directly for every change. This empowers marketers and reduces reliance on developers.

Q: How can I access raw data from GA4?

A: GA4 offers a free BigQuery integration, allowing you to export raw, unsampled event data directly into Google BigQuery. This enables advanced analysis, custom queries, combining GA4 data with other datasets (like CRM), and building custom dashboards using tools like Looker Studio. While GA4’s interface provides powerful reporting, BigQuery is for those who need deep, granular access to their data.

Q: What should be my next step after setting up GA4?

A: After initial setup and verifying data collection, your next immediate steps should be:

1. Define and mark your key conversion events.
2. Link your Google Search Console and Google Ads accounts (if applicable).
3. Familiarize yourself with the core reports (Acquisition, Engagement, Monetization, Retention).
4. Start planning and implementing custom events for unique, critical user actions relevant to your business goals, preferably using Google Tag Manager.
5. Begin exploring the “Explore” section to build custom reports and answer specific business questions.

The key is to move from data collection to data interpretation and, most importantly, action.

Eamped is committed to helping startups and growing businesses navigate the complexities of digital marketing and analytics. For more insights and actionable strategies, stay tuned to eamped.com.