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- Map your event schema like this and stop losing customer data
Map your event schema like this and stop losing customer data
Fix your event tracking gaps in under 30 minutes
Happy Monday!
Ever stared at your analytics dashboard, puzzled by missing data points? You're not alone. Today, we're diving into fixing your event schema, a critical step toward more accurate tracking and better customer insights.
Here’s what you'll find in today's email:
What is an event schema
Why your event schema matters (and what happens when it breaks)
A simple framework to fix event tracking
Lifecycle Marketing quick hits
Today’s read time is 3 minutes
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Map your event schema like this and stop losing customer data
Deep Dive
"Where are all the checkout events?" I said, staring at our analytics dashboard.
Our tracking showed plenty of shoppers adding items to cart, but almost no completed purchases. Yet our revenue numbers told a different story, people were definitely buying.
After some digging, I found the issue. We were tracking the start of checkout, but not the actual purchase confirmation. One missing data point created a blind spot in our entire customer journey.
Sound familiar? Let me help you fix this common headache.
What's an event schema (and why it matters)
Your event schema is simply the blueprint for how you track customer behavior in your marketing platform:
What actions you track (like page views, email opens, purchases)
What details you collect with each action (like purchase amount or product name)
How consistently you name these events across your systems
Think of a purchase event in your schema:
Event name: "purchase_completed"
Properties: order_id, amount, products, coupon_code
When set up properly, this structured approach ensures you can see exactly how customers move through your experience. When incomplete, it creates frustrating blind spots that limit what your marketing automations can do.
The framework that fixed our tracking
You can use this simple framework for mapping customer events. Let's break this down into practical steps you can apply today.
Step 1 - Actions That Matter
First, map all customer touchpoints that indicate meaningful behavior. Check your platform, are you tracking?
Acquisition Events: Page/screen views, first visit, signup/registration
Engagement Events: Product views, searches, feature usage
Conversion Events: Add to cart, begin checkout, purchase
Retention Events: Return visit, repeat purchase, feature adoption
Step 2 - Consistent Naming
Next, establish a simple naming pattern and stick to it. I recommend:
Use snake_case for all events (product_viewed not ProductViewed)
Keep names in past tense (checkout_completed not complete_checkout)
Be consistent across platforms
Step 3 - Thorough Properties
Each event should carry properties that give you full context:
For all events: timestamp, user_id (if known), source (web, iOS, Android)
Specific event details for personalization
Step 4 - Implementation Testing
This is where I've seen many teams stumble. Define events and verify them:
Perform each key action yourself
Verify events fire correctly
Check all expected properties
Test on different devices
Step 5 - Ongoing Monitoring
Event tracking breaks… very often. Set up monitoring:
Weekly event volume checks
Monthly sample journey tests
Critical event alerts
Step 6 - Necessary Documentation
Document everything:
Event purposes
Required properties
Implementation ownership
Last verification dates
Your 30-minute event schema checkup
Ready to improve your tracking? Start with this quick audit:
List your 5 most critical business events.
Verify you're tracking these events in your platform.
Test a complete core flow (like signup-to-purchase).
Identify your biggest tracking gap.
The results you can expect
With complete, reliable event data, you can:
Build accurate segments
Trigger timely automations
Personalize effectively
Quickly identify conversion barriers
After fixing our event schema, targeted improvements increased our conversion rates by 15% in just two months.
Start with your most important journey
Pick your most critical triggered journey, audit it, and make improvements. Small fixes here can have substantial impacts on your revenue.
Which customer journey will you audit first? Your acquisition funnel? Onboarding sequence? Renewal process? Pick one path and dive in!.
Lifecycle quick hits?
Lifecycle emails triggered by user events see up to 8x higher open rates compared to generic blasts (Braze Benchmark Report 2024).
Run tests longer than one buying cycle, short tests can misrepresent true user behavior.
Tiny habit: Monthly, compare campaign results directly in your ESP and analytics dashboards to spot hidden tracking issues.
Braze now supports easy event testing directly within Canvas, run test users through journeys without coding.
Improving your event tracking today means better marketing results tomorrow.
Well, that’s all for today, folks. See you next Monday.
Feel free to discuss these ideas in your weekly team standup or in a 1-1 with your manager.
If you found even a tiny bit of value from this email, I’d appreciate sharing it with your team or on LinkedIn. You’ll get access to some Good karma if you do so 😇
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