Part 1 of a two-part series

Turning Clicks into Clarity: Unlocking GA4 Event Data With Zinzu

GA4 captures everything, but extracting insights is painful. AI driven Zinzu makes it easy to find patterns, build funnels, and extract real insights without the pain.

author: Arif Khan

Written by Arif Khan, founder of Zinzu

1. Everything Is an Event

It’s not just about pageviews anymore. Or sessions.

Every action in business is an event in time; a customer signs up, a feature is used, a refund is issued, a campaign is clicked, a purchase is made.

Google recognized this shift in behavior and business needs, making a bold move: replacing Universal Analytics with GA4, a fully event-based model. This wasn’t just a product update, it was a clear signal: the future of analytics is event-driven.

Google Analytics powers 55.49% of all websites globally.
Its mobile analytics tools, powered by Firebase and integrated into GA4, are used in most Android apps and many iOS apps, estimated at over 70% adoption.

From Shopify stores to mobile apps to video games, Google Analytics is the largest event-based data store used by the majority of the businesses.

This series will explore why event-based behavioral insights matter, the challenges in extracting them, and how Zinzu is solving these problems, bringing our platform closer than ever to Google Analytics by working directly on raw events exported to BigQuery and processed in Zinzu’s query engine.

2. Why Events Matter

Tracking events means capturing behavior over time, not just clicks.

It lets you:

• See the sequence of user actions.
• Understand how behavior unfolds over time.
• Detect patterns that impact your business.

Sample real-world behaviors from event data:

• Checkout abandoned after applying a coupon (coupon not helping)
• Logins from two countries within 10 minutes, followed by password reset attempts (potential fraud)
• Coupon applied → more purchases (coupon upsell detected)
• 10+ support tickets in under an hour from the same account (confusion or friction)

With the right tools, you can turn raw events into a narrative, not just counts.

3. The Event Data Trap

Event-based analytics sounds like a dream; every click, tap, and action captured in detail.
But without the right tools, it quickly becomes a nightmare:

• Endless Raw Data: Millions of events stored as a complex hierarchical data in JSON, hard to work with.
• Complex Queries: SQL handles aggregations well, but sequencing nested event data is slow and error-prone, and even with AI assistance, it still requires expert skills. SQL simply isn’t built to handle complex event sequences in hierarchical structures.
• Out of Reach: For most analysts, marketers, and PMs, the data remains effectively locked away. Extracting deeper insights is slow, costly, and often out of reach for small to mid-sized teams.
• Vendor Lock-In: Many third-party vendors require SDK integration, store your data in their systems, and limit how you can access it, making it harder to switch or fully own your insights.

You can imagine events being generated over time for each user, like in the image below:

A timeline of user actions, a goldmine of behavior insights, if made easy to extract.

From these timelines, you might want to find a simple pattern like:

• page_visit → search

But in reality, the user might have done other activities in between, so you’d actually need something like:

• page_visit → [Any Events] → search

Or maybe you’re looking for sequences that were close to purchase but didn’t convert, like:

• item_added_to_cart → [Any Events Except Purchase]

Sequences can become far more complex. Expressing these patterns in SQL is difficult, and for non-technical users, it’s often impossible.

Millions of events. Thousands of patterns. Zinzu helps you find the one that matters.

4. Events Are the Raw Material: Zinzu Refines Them

Zinzu works directly with raw GA4 events exported to BigQuery, pre-processing them and integrated with AI for instant analysis. Users can express data needs in plain English through a natural-language prompt or with an intuitive selection interface built in the prompt.

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With Zinzu, you can ask questions as simple as the following, in plain English:

• Get me count of purchase events
• How many users visited in the past X days
• Show attributes from the purchase event
• Get count of users from USA

Behavior Analysis:

Zinzu lets you easily find behavior by expressing the sequence of actions exactly as you think of them as following:
Item added to cart → Coupon applied → More items added → Checkout

Funnel Analysis:

Funnels don’t need to be static, boxed-in, or predefined. They should be dynamic, something you create as you need, based on real behavior.
With Zinzu, building funnels is simple, flexible, and feels natural, not the complex chore most tools make it out to be.

You can create a funnel like this: page_visit → added_to_cart → purchase

Closer to Your GA4 Data:

• No data movement.
• No lock-in.
• Your data stays in your account, you own it.
• No SDK needed, Zinzu works directly on your GA4 export.

5. Zinzu’s Vision: Rethinking How We Understand Behavior

Zinzu’s vision is to connect scattered datasets as events on a timeline, regardless of schema and make complex behavioral insights easily accessible to both technical and non-technical users, all at low cost.

We’re currently integrating with Google Analytics 4 (GA4) as our first source. More platforms like Salesforce are on the roadmap, and customers will be able to bring their own data once we make our platform public.

Part 2 coming soon, with more on zinzu’s workings and release updates.

Want to unlock your GA4 data for deeper insights, whether you’re a marketer, analyst, PM, data scientist, or technical lead?

Contact team@zinzu.io, founder will connect with you personally and add you to the early adopters list.