Building a Tracking Strategy

Learn how to create a tracking plan that captures the right events and properties for meaningful analysis

Building a Tracking Strategy

A well-defined tracking strategy ensures your product data stays consistent and reliable, enabling teams to make data-informed decisions without wasting time on data cleanup.

This guide details how to create a tracking strategy that enables your team to capture the right events and properties, keep them consistent, and set them up for meaningful analysis.

What is a Tracking Strategy?

A tracking strategy is a plan for deciding which events and properties to capture, how to name them, and how to manage them over time.

In Mixpanel, this means using the data model (events, users, and properties) intentionally, so your data is structured for the KPIs that matter most to your business.

A tracking strategy is not just about what you log; it is about creating a shared framework so product, engineering, and analytics teams can trust the data and use it to answer business questions.

Building a Tracking Strategy

A good strategy is built step by step, not all at once. The practices below will help you move from a vague idea of “we should track more” to a clear, scalable framework your whole team can rely on.

Define the Events that Matter

Events are the backbone of Mixpanel. Start by mapping out the key user actions tied to your KPIs (e.g. sign-up started, checkout completed, feature used).

• Only track events that represent meaningful behaviors connected to business goals
• Don’t track every click or interaction simply because it is possible, since doing so can clutter your analysis

Focus on events that directly answer questions your team needs to solve. Every event should have a clear purpose.

Learn more about Events.

Use Event Properties to Add Context

Events tell you what happened, properties tell you how it happened. Properties give you the flexibility to keep your event list small while still allowing rich analysis.

Teams typically see the best results when they limit their schema to a manageable set of core events, enriched with properties for detail.

Capture User Profiles and Properties

Events capture behavior, while user profiles capture who the user is today (e.g. their email, location, and subscription level). When you pair event properties with user properties, you can compare past behavior with the current state.

For example, a user property for current_country = Singapore can be compared with an event geolocation property showing where they logged in previously. A user who travels often may track events in different locations despite their current location being somewhere else.

Learn more about User Profiles.

Tips for Choosing Properties

Properties, whether attached to events or stored on user profiles, add the context that makes your analysis meaningful. The right ones make it easy to answer business questions; the wrong ones add noise and confusion.

Use these guidelines to decide which properties to include.

Following these guidelines keeps your schema focused, while still giving you the flexibility to answer the questions that matter most.

Standardize Naming Conventions

Clear, consistent names make your data easier to use and trust. A naming convention prevents confusion, reduces duplicate events, and keeps your queries simple.

• Pick one convention and use it everywhere
• Don’t mix formats like SignUp, signup_started, and Signup Started

As a best practice, use snake_case for all event names, properties, and property values (for example: checkout_completed, payment_method = credit_card). Snake case works well with APIs and avoids ambiguity.

Write down your naming rules in your tracking plan so engineers and analysts always know what to follow.

Document and Govern Your Tracking Plan

Your strategy only works if it is shared and enforced. Keep a living tracking plan and lean on Mixpanel’s governance features.

1. Store your tracking plan in a shared location, such as a Google Sheet or Notion page
2. Keep your tracking plan updated as your product evolves
3. Share your tracking plan widely across product, engineering, and analytics teams

Tools to Help with Data Governance

• Tracking Plan Template: Organize event names, properties, and owners in one place
• Lexicon: Add descriptions, assign owners, and hide deprecated events right in Mixpanel

Learn more about Data Governance.

Example Tracking Plan

Here’s what a simple tracking plan might look like for an e-commerce site:

Core Events

Event Name	Description	Key Properties
product_viewed	User views a product detail page	product_id, product_name, category, price
add_to_cart	User adds item to shopping cart	product_id, quantity, cart_total
checkout_started	User begins checkout flow	cart_value, item_count
payment_info_added	User enters payment details	payment_method
purchase_completed	User completes purchase	order_id, total_amount, currency, item_count

User Properties

Property Name	Description	Type
email	User’s email address	String
signup_date	Date user created account	DateTime
plan_type	Free, Pro, or Enterprise	String
total_purchases	Lifetime purchase count	Number
ltv	Customer lifetime value	Number

Naming Conventions

• All events: snake_case (e.g., checkout_started)
• All properties: snake_case (e.g., payment_method)
• Property values: snake_case (e.g., credit_card, not Credit Card)
• Boolean properties: Prefix with is_ (e.g., is_premium)

Common Tracking Mistakes to Avoid

Tracking Too Many Events

Problem: Every click becomes an event, cluttering your schema.

Solution: Only track events that tie to business questions. Ask: “Will this help us make a decision?”

Inconsistent Naming

Problem: SignUp, sign_up, user_signup, and Signup all exist.

Solution: Document your naming convention and enforce it through code reviews and governance.

Missing Critical Properties

Problem: Events exist but lack context (e.g., purchase_completed without amount).

Solution: Define required properties for each event in your tracking plan.

Not Versioning Your Schema

Problem: You change what an event means, breaking historical analysis.

Solution: If an event’s meaning changes significantly, create a new event (e.g., checkout_started_v2) or use a version property.

No Ownership

Problem: Nobody knows who’s responsible for maintaining tracking.

Solution: Assign owners to events and properties in Lexicon. Make someone accountable for data quality.

Implementing Your Tracking Plan

Once you’ve documented your strategy, implement it:

Maintaining Your Tracking Plan

Your tracking plan is a living document. As your product evolves, so should your tracking:

Regular Audits

• Quarterly reviews of all events and properties
• Identify deprecated or unused events
• Check for naming inconsistencies
• Verify property data types

When to Update

• New product features launch
• User flows change significantly
• New business questions emerge
• Teams request additional context

Communication

• Announce tracking changes in team channels
• Update documentation immediately
• Train new team members on tracking standards

Treat your tracking plan like production code. Require reviews before changes, document updates, and communicate broadly.

Key Takeaways

• Only track events that tie directly to KPIs
• Use properties to keep your schema flexible
• Capture user profiles to combine “who” with “what”
• Standardize names using snake_case
• Document your plan and use governance features to keep data clean
• Treat your tracking plan as a living document
• Assign ownership for data quality

Next Steps

• Download the Tracking Plan Template
• Map your key user journeys to events
• Define required properties for each event
• Document your naming convention
• Set up Lexicon to govern your schema
• Review the Data Quality guide to learn how to QA your implementation