---
title: "Google Analytics"
url: "https://help.magicblocks.ai/en/article/google-analytics"
language: "en"
last_updated: "2026-03-18T09:31:08.775Z"
---

# Google Analytics

The **Google Analytics integration** lets you measure how well your AI Agent performs against your business goals — such as completed signups, booked demos, or captured contacts.

Every time a goal is triggered in [MagicBlocks](https://magicblocks.ai/hc), a `goal_completed` event is automatically sent to Google Analytics.  
This means you can track conversion events, engagement behavior, and success trends right alongside your website analytics.

## **When to Use**

Use this integration when you want to:

-   Quantify your AI Agent’s **conversion rate** and **engagement performance**.
-   View AI-triggered goals in your **GA Events dashboard**.
-   Compare AI-led conversions with **website traffic or ad campaigns**.
-   Identify which user journeys contact to successful completions.

## **How It Works**

>  If you haven’t set up Google Analytics on MagicBlocks yet, follow this guide first:  
> [How to Track MagicBlocks AI Agent Goals in Google Analytics →](https://help.magicblocks.ai/en/article/how-to-track-magicblocks-ai-agent-goals-in-google-analytics)

Once connected, every time a MagicBlocks goal is triggered (e.g., “Demo Booked”, “Contact Captured”), your workspace automatically sends a `goal_completed` event to GA via the Measurement Protocol API.

In Google Analytics:

-   Go to **Reports › Engagement › Events.**
-   Search for **goal\_completed.**

Filter by **Goal Name** or **Conversion Value** to see:

-   Total completions
-   Active users involved
-   Engagement rate
-   Source or channel attribution

💡 *Tip:* Combine this with campaign filters (e.g., `utm_campaign`) to identify which ads or traffic sources contact to the highest AI conversions.

## **Example Metrics You Can Track**

| Metric | What It Tells You | Why It Matters |
| --- | --- | --- |
| **goal\_completed (count)** | Total number of AI goal completions | Measures AI conversion success |
| **User engagement time** | Average time users spend interacting | Helps assess engagement depth |
| **Source / Medium** | Origin of users who completed AI goals | Optimizes traffic targeting |
| **Goal value** | The conversion value sent from MagicBlocks | Quantifies business impact |
| **Sessions per user** | Average AI interactions per visitor | Identifies repeat engagement |

## **How to Analyze Performance**

#### 1\. Identify High-Converting Journeys

In GA, open **Events → goal\_completed → Conversions by Page Path.**  
This shows which pages or chat entry points deliver the most completions.

#### 2\. Compare Channels

Use **Traffic Source / Medium** reports to compare conversions from:

-   Website visitors
-   Paid ad traffic
-   Email campaigns
-   Social sources

#### 3\. Measure Impact Over Time

Use **Explore › Funnel Exploration** to visualize drop-off and completion trends over time.  
If conversions decrease, revisit your [MagicBlocks](https://magicblocks.ai/hc) **Journeys** or **Knowledge** to fix weak links.

#### 4\. Attribute ROI

When you set conversion values in MagicBlocks, those values appear in GA as part of the `goal_completed` event. Use **Revenue Reports** to assess the estimated ROI of AI-driven conversions.

## **Best Practices**

-   **Name goals clearly:** e.g., “Contact Captured”, “Trial Signup”, “Call Booked”.
-   **Use UTM tracking:** Combine GA source data with AI event data for complete attribution.
-   **Review weekly:** Check your GA event trend lines against campaign timelines.
-   **Sync insights:** Use Sessions + GA data together to match quantitative results with qualitative chat behavior.
-   **Filter by Goal Name:** In GA, create a custom event view for your most critical [MagicBlocks](https://magicblocks.ai/hc) goals.

## **Related Articles** 

How to Track MagicBlocks AI Agent Goals in [Google Analytics](https://help.magicblocks.ai/en/article/how-to-track-magicblocks-ai-agent-goals-in-google-analytics)