Order Conversion Rate (Visitors)
Overview
Formula
Platform Implementation
- GA4:
purchase,OOTB Metrics - Adobe Analytics:
purchase,OOTB Metrics - Amplitude:
Order Completed,Session Start
Business Context
Industry: Retail, eCommerce, Subscription, Travel
Category: Conversion
Priority: High
Core Area: Conversion Funnel Performance
Scope: User
Technical Details
KPI Type: Rate / Ratio
Metric: Ratio of orders to total users
Aggregation Window: Daily, Weekly, Monthly
Data Mappings
Data Layer Mapping
XDM Mapping
Implementation
Dependencies: Requires both purchase and User tracking consistency. Ensure Order_id is unique and Users are properly counted.
BI Source System: GA4, Adobe Analytics, Adobe Customer Journey Analytics, Amplitude, BigQuery, Query Service
Report Attribute: Order ID, Session ID, Traffic Source, Device, Campaign, Country, Date
Usage & Analytics
Dashboard Usage: Shown in eCommerce Funnel, Conversion, and Marketing dashboards to gauge sales funnel performance and optimize campaign efficiency.
Segment Eligibility: All users with a purchase event. Used to segment conversion by channel, device, or user cohort.
Related KPIs: Orders, Revenue, Add-to-Cart Rate, Checkout Conversion Rate, Cart Abandonment Rate
SQL Examples
SQL Query Example
Documentation
Calculation Notes: 1️⃣ Ensure both orders and users are from the same date range. 2️⃣ Remove test traffic. 3️⃣ Segment by channel or device where applicable. 4️⃣ Keep consistency in attribution windows.
Details: The Order Conversion Rate reflects the proportion of sessions (or users) leading to at least one purchase. It is a top-level KPI for assessing website effectiveness, marketing efficiency, and UX performance. Ensure alignment of session counting logic between GA4 and Adobe (visit scope) and remove internal/test activity for accuracy.
Contributed By: Devyendar Maganti
Owner: Digital Analytics / Growth Optimization Team
Governance
Validation Status: Validated
Version: v1.0
Last Updated: 2025-10-09 00:45:25.450000
Data Sensitivity: Low
PII Flag: false
Comments & Discussion
Share your thoughts, questions, or feedback about this item. Sign in with GitHub to join the discussion.