Connect Google Analytics 4 (GA4) to Lovable

Once your GA4 data is in Lovable, you can:

• Analyze traffic by source and channel: See which channels (Organic Search, Paid Search, Paid Social, Direct, Referral) drive the most sessions, engaged users, and conversions.
• Track revenue and e-commerce performance: Monitor purchase revenue, transactions, add-to-cart rate, checkout completions, and purchase-to-view rate by product or campaign.
• Understand user behavior: Analyze engagement rate, bounce rate, average session duration, pages per session, and scrolled users to see how visitors interact with your site.
• Monitor conversion performance: Track key events and conversion rates by traffic source, campaign, device, or landing page.
• Identify top landing pages: See which pages bring in the most sessions and which convert best, so you know where to invest in content and CRO.
• Compare new vs returning users: Understand acquisition vs retention health and track first-time purchasers separately from returning buyers.
• Build live GA4 dashboards: Turn your analytics data into shareable Lovable dashboards for clients, stakeholders, or your growth team, updated automatically.

Yes. Windsor pulls the full GA4 e-commerce funnel: product views, add-to-carts, checkouts, purchases, items purchased, gross item revenue, purchase revenue, and refunds. Ask Lovable to map the funnel, identify drop-off points, compare conversion rates by traffic source, or surface your top-revenue products by item name and category.

Yes. Windsor pulls GA4’s new vs returning user dimension alongside sessions, engagement rate, purchase revenue, and first-time purchaser data. Ask Lovable to compare acquisition vs retention metrics and track how well your site converts first-time visitors into buyers.

Yes. Windsor.ai supports custom dimensions and metrics defined in your GA4 property, things like user type, membership tier, or loyalty points. To retrieve custom dimensions, you need to include at least one metric in your request. Custom metrics can be requested without a dimension. You can test field compatibility using the GA4 Dimensions & Metrics Explorer.

Beyond basic performance summaries, you can use more advanced, specific prompts to uncover deeper insights. For example:

• Analyze my paid vs organic traffic for the last 30 days. For Paid Search and Organic Search channels, compare sessions, engaged sessions, bounce rate, average session duration, key events, and purchase revenue. Calculate cost per key event for Paid Search using Google Ads spend data.

• Show me my e-commerce conversion funnel for the last 30 days. For each step (product views, add to carts, checkouts, purchases), show the absolute number and drop-off rate between steps. Identify the step with the highest drop-off and which traffic source has the worst funnel completion rate.

• Analyze landing page performance for the last 30 days. For each landing page with more than 500 sessions, show bounce rate, engagement rate, average session duration, and purchase revenue. Rank by revenue per session and flag pages where bounce rate exceeds 70%.

• Break down purchase revenue by traffic source and device category for the last 30 days. Which source/device combinations generate the most revenue, and which have the highest average purchase value? Flag any combination with high sessions but zero purchases.

• Analyze cohort retention for the last 8 weeks. Show weekly active users as a percentage of cohort total users for each week after acquisition. Identify which acquisition week had the strongest retention and what channel drove those users.

Windsor.ai offers a free forever plan with 1 data source and 1 account; no credit card required. If you need more data sources, paid plans start at $19/month. Lovable requires a paid plan to use Custom MCP connectors.

Yes, we have helpful resources to help you get started. You can explore our official documentation and tutorials for seamless GA4 to Lovable integration with Windsor.ai:

• Google Analytics 4 Field Reference
• Lovable Integration Video Tutorial
• Lovable Integration Documentation