Data Tracking Plan Template

Enterprise-Grade Framework for CDP Implementation

$1,500 Value • Yours Free

How to Use This Template

Purpose: This tracking plan serves as the single source of truth for all customer data collection across your organization. It ensures consistency, maintains data quality, and facilitates collaboration between marketing, product, and engineering teams.

Instructions: Fill in each table with your specific events, properties, and user traits. Be as detailed as possible—future you (and your team) will thank you. Use the examples as guidance, then replace with your actual tracking requirements.

Pro Tip: Start with your top 10 most important events. Don't try to document everything at once. You can always add more as you expand your tracking.

📋 How to Use This Document:

Option 1 (Recommended): Save this as HTML and convert to Google Sheets or Excel for collaborative editing.

Option 2: Print this template and fill it out by hand, then digitize.

Option 3: Use this as a reference and create your own spreadsheet following this structure.

✅ Import-ready CSV (Google Sheets / Excel)

Use the companion file data-tracking-plan-template.csv (same folder as this HTML when hosted). Import via File → Import in Google Sheets. One row per event property (repeat event_name for multiple properties). Columns: plan_version, domain, event_name, trigger, event_description, property_name, data_type, required, allowed_values, example_value, pii_flag, downstream_systems, owner, last_verified.

🧩 Example events — SaaS / PLG
Event When it fires Key properties (types)
feature_used User completes a defined activation action feature_key (string, required), workspace_id (string, optional)
trial_started Trial entitlement begins plan_tier (enum: starter|growth|enterprise), utm_campaign (string, optional)
plan_upgraded Payment succeeds for higher tier new_mrr_cents (number, required), previous_plan (string, required)
🧩 Example events — B2B / pipeline
Event When it fires Key properties (types)
lead_scored Scoring model or rep updates qualification score_band (enum: hot|warm|cold), crm_lead_id (string, required)
pipeline_stage_changed Opportunity moves stage in CRM stage_name (string), amount_cents (number, optional)
meeting_booked Calendar / routing confirms meeting meeting_type (enum: demo|discovery|onboarding), owner_id (string, optional)
🔍 QA protocol (ship checklist)
Before each release:

1) Validate events in a staging property / dataset with real user flows (not only GTM preview). 2) Assert required properties are present — reject payloads missing event_name or required fields. 3) Compare counts: pageviews vs custom events ratio, and key funnel steps vs backend transactions for sample orders/leads. 4) Run duplicate detection on natural keys (order_id, lead_id) for 7 days post-launch.

Weekly: spot-check top 10 campaigns for UTM coverage; review error logs / validation rejections from your CDP or tag manager server container.

📌 Versioning & change management
Contract-first changes

Bump plan_version when you change required fields or semantics. Maintain a short CHANGELOG: date, author, breaking vs additive, consumers updated (GA4, ads, warehouse). For breaking changes, run overlapping fields for one release cycle before removing old properties. Tag each spec in Git with the deploy tag it shipped with.

📊 Project Overview
Field Details
Project Name E.g., "E-commerce Website Tracking"
Your Project: _________________________________
CDP Platform E.g., "Segment", "mParticle", "Tealium"
Your CDP: _________________________________
Owner/Team E.g., "Marketing Operations Team - sarah@company.com"
Your Owner: _________________________________
Last Updated E.g., "2025-09-29"
Date: _________________________________
📝 Naming Conventions & Standards
💡 Why Naming Conventions Matter Consistent naming prevents confusion, makes analysis easier, and ensures data quality. Define these standards BEFORE you start tracking, then enforce them religiously.
Convention Type Standard
Event Naming E.g., "Object + Action" format: Product Viewed, Cart Abandoned, Order Completed
Your Standard: _________________________________
Property Naming E.g., snake_case: product_id, order_total, user_email
Your Standard: _________________________________
User ID Format E.g., "UUID format: user_123e4567-e89b-12d3-a456-426614174000"
Your Format: _________________________________
Date/Time Format E.g., "ISO 8601: 2025-09-29T14:30:00Z"
Your Format: _________________________________
🎯 Event Tracking Plan
💡 What to Track Focus on business-critical events that help you understand customer behavior and measure success. Common categories: Acquisition (signups, registrations), Engagement (product views, feature usage), Monetization (purchases, upgrades), Retention (logins, return visits).
Event Name Category Priority When It Fires Required Properties Business Purpose Status
Page Viewed Navigation High Every page load page_url, page_title, referrer Track user navigation patterns ✅
Product Viewed Engagement High User views product detail page product_id, product_name, price, category Track product interest, personalization ✅
Add to Cart Monetization High User adds item to shopping cart product_id, quantity, price, cart_total Measure purchase intent, cart analysis ✅
Checkout Started Monetization High User begins checkout process order_id, cart_total, product_count Track conversion funnel, identify drop-off ✅
Order Completed Monetization High Order successfully placed order_id, revenue, products[], payment_method Track revenue, attribution, LTV ✅
User Signed Up Acquisition High New user registration user_id, signup_method, referrer Track acquisition channels, onboarding ✅
Email Opened Engagement Medium User opens marketing email email_id, campaign_name, subject_line Measure email engagement, optimize campaigns ⏳
Support Ticket Created Support Medium User submits support request ticket_id, category, priority Track support needs, product issues ⏳
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📝 Priority Definitions:

High: Must-have events critical for core business metrics. Implement first.

Medium: Important for analysis but not critical. Implement second wave.

Low: Nice-to-have for deeper insights. Implement when bandwidth allows.

Status: ✅ Live | ⏳ In Development | ❌ Blocked | 📋 Planned

👤 User Traits & Properties
💡 User Traits vs Event Properties User traits are attributes that describe WHO the user is (persistent characteristics). Event properties describe WHAT happened in that specific event (contextual data).
Trait Name Data Type Source When Updated Business Purpose Status
user_id String (UUID) Registration System At signup, never changes Unique identifier for tracking ✅
email String (email) User Profile At signup, when updated Communication, identity resolution ✅
signup_date Date (ISO 8601) Registration System At signup, never changes Cohort analysis, customer age ✅
customer_tier String (enum) Calculated Daily recalculation Segmentation, personalization ✅
lifetime_value Number (currency) Calculated After each purchase Value-based targeting, churn prevention ✅
last_purchase_date Date (ISO 8601) Order System After each purchase Re-engagement, churn prediction ✅
preferred_category String Calculated (ML) Weekly recalculation Product recommendations ⏳
_____________ _________ _________ _________________ _________________ __
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📥 Data Sources
Source Name Type Integration Method Data Volume Events/Traits Sent Status
Website Client-side JavaScript SDK ~500K events/month Page views, clicks, form submissions ✅
Mobile App (iOS) Client-side Swift SDK ~200K events/month Screen views, taps, app lifecycle ⏳
Backend Server Server-side Node.js SDK ~1M events/month Orders, user updates, system events ✅
Salesforce CRM Third-party Native Integration ~50K records/month Lead updates, opportunity changes 📋
_____________ _________ _________________ _____________ _____________________ __
_____________ _________ _________________ _____________ _____________________ __
_____________ _________ _________________ _____________ _____________________ __
📤 Data Destinations
Destination Name Category Integration Type Events Received Business Purpose Status
Google Analytics 4 Analytics Native Integration All page views, conversions Website analytics, attribution ✅
Facebook Ads Advertising Native Integration Purchase events, custom audiences Ad targeting, conversion tracking ✅
Braze Marketing Automation Native Integration All events + user traits Email/push campaigns, personalization ⏳
Snowflake Data Warehouse Native Integration All events (raw data) Advanced analytics, data science 📋
_____________ _________ _________________ _________________ _________________ __
_____________ _________ _________________ _________________ _________________ __
_____________ _________ _________________ _________________ _________________ __
🔒 Data Governance & Privacy
Policy Area Standard/Requirement
PII Handling E.g., "Email, phone number, address are encrypted at rest. Never sent to advertising platforms."
Your Policy: _________________________________________________________________
Data Retention E.g., "Event data retained for 2 years. User profiles retained while account is active + 30 days after deletion."
Your Policy: _________________________________________________________________
User Consent E.g., "Cookie consent required for analytics. Explicit opt-in for marketing communications."
Your Policy: _________________________________________________________________
Data Deletion Requests E.g., "Users can request deletion via support. Processed within 30 days per GDPR/CCPA requirements."
Your Policy: _________________________________________________________________

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