Export your test results to analyze order patterns, customer behavior, and conversion performance across your A/B test variants.

Export order feature is only available in ABConvert Plus plan.

How to Export Order Data

Navigate to your test's Analytics page
Click the Export Order button
Wait for the download to complete (may take 30-60 seconds for tests with many orders)
Open the ZIP file to access individual CSV files for each test group

Understanding Your CSV Files

Your export includes separate CSV files for each test group:

order-{shop}-{test-id}-group-0.csv Control group orders
order-{shop}-{test-id}-group-1.csv Variant A orders
order-{shop}-{test-id}-group-2.csv Variant B orders
And so on for additional variants...

For price tests, you'll also see visitor-order- files that track storewide conversion behavior.

Key Data Fields Explained

Order & Revenue Information

Field	What It Means	Example
orderId	Unique Shopify order number	`#1234`
revenue	Total order value in dollars	`129.99`
shippingRevenue	Shipping fees collected (shipping tests only)	`12.50`
discountCodes	Discount codes applied to the order	`[{"code":"SAVE10","amount":10}]`

Customer Insights

Field	What It Means	Example
country	Customer's country code	`US`, `CA`, `GB`
deviceType	Device used for purchase	`mobile`, `desktop`, `tablet`
visitorType	New vs returning customer	`new_visitor`, `returning_visitor`
userAgent	Browser and device details	`Mozilla/5.0...`

Traffic Source & Behavior

Field	What It Means	Example
landingPage	First page visitor saw	`/collections/sale`
pathName	Page where test was triggered	`/products/hoodie`
searchParams	URL parameters from traffic source	`{"utm_source":"google"}`

Product Information (Price & Content Tests)

Field	What It Means	Example
productId	Shopify product ID tested	`7891234567890`
variantIds	Product variants ordered	`["39123456789"]`

Timestamps

Field	What It Means	Example
createdAt	When the order was placed	`2025-01-15T14:30:22.000Z`
updatedAt	Last update to order record	`2025-01-15T14:30:22.000Z`

Test-Specific Data Fields

Shipping Tests

Shipping tests include unique data about delivery options:

destination - Shipping destination code
shippingRevenue - Revenue from shipping fees
shippingLines - Detailed shipping options shown

Use Case: Compare how different shipping rates or delivery options affect conversion and average order value.

Checkout Tests (UI, Payment, Delivery)

Checkout tests capture the complete checkout journey:

eventType - Will always be checkout_completed for order exports
paymentGatewayNames - Payment methods used
eventData - Detailed checkout event information

Use Case: Analyze how checkout UI changes affect completion rates across different payment methods.

URL Redirect & Page Tests (Template/Theme)

Page variation tests focus on visitor behavior:

sessionId - Links orders back to visitor sessions
from - Data source (webhook or webpixel)

Use Case: Track which landing pages or page designs drive more conversions.

Technical Fields (Usually Skip These)

These fields are included for technical reasons but rarely needed for analysis:

_id, storeName, experimentId, testGroup - Internal identifiers
clientId, sessionId, userSeed - Tracking IDs for our system
shopifyCookies - Browser cookie data
ip - Customer IP address (privacy consideration)
from - Internal data source flag
noAttribute - Internal tracking flag

Common Questions

What's the difference between "order" and "visitor-order" files?

There are two data types in price tests and each represents a data type.

order- product view based Data
visitor-order- store-wide data

Why do timestamps show UTC format?

All timestamps use UTC (Coordinated Universal Time) for consistency. Convert to your local timezone when analyzing.

Best Practices for Analysis

Compare Test Groups Side-by-Side

Open multiple group CSV files to compare metrics like:

Average order value
Orders by device type
Orders by traffic source
Discount code usage rates

Focus on Fields Relevant to Your Test

Price tests: Focus on revenue, productId, variantIds
Shipping tests: Focus on shippingRevenue, destination, shippingLines
Checkout tests: Focus on revenue, paymentGatewayNames, device/visitor patterns
Page tests: Focus on landingPage, pathName, session behavior

Segment Your Data

Use filters in Excel/Google Sheets to analyze:

Mobile vs desktop conversion
New vs returning customers
Different traffic sources
Geographic regions

Look for Patterns, Not Just Totals

Don't just count orders and look for patterns:

Does one variant perform better on mobile?
Do returning customers respond differently?
Does traffic from specific sources convert better?

How to Preview Shipping Tests with Cookie Filters

ABConvert Analytics Definition

ABConvert vs. Shopify: Why your analytics data looks different

Analytics metrics explained - price test (duplicate variant)

Understanding Your Exported Order Data