Load Klaviyo profiles, events, campaigns, flows, lists, and segments into BigQuery for SQL analytics and joins with store and ads data. SyncRange writes structured tables on your schedule so email marketing reporting stays fresh.
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Connect, choose data, open the report
When spreadsheets are not enough, SyncRange loads Klaviyo into Google BigQuery. Tables inherit the column layout from your export tabs, so SQL models and dbt projects can depend on predictable names.
BigQuery becomes the place to join marketing, ecommerce, and finance sources, run large historical queries, and power BI tools that expect a warehouse instead of a sheet.
Send your Klaviyo data directly to Google BigQuery for enterprise-grade data warehousing. Build a central analytics repository, run SQL across massive datasets, and power large-scale reporting without managing pipelines or writing ETL code.
What we can export, and how it lands
Each row is a field you can include or omit in the app before export. Column headers match the labels below; SyncRange writes them as the first row in your destination(worksheets in Google Sheets or Excel, or BigQuery columns) when you choose BigQuery.
Authenticated Klaviyo account metadata
| Columns |
|---|
| Account ID |
| Type |
| Test Account |
| Public API Key |
| Locale |
| Currency |
| Timezone |
| Preferred Currency |
| Contact Information |
| Industry |
| Date Exported |
Customer profiles (email, phone, location, properties)
| Columns |
|---|
| Profile ID |
| Type |
| Phone Number |
| External ID |
| Anonymous ID |
| First Name |
| Last Name |
| Organization |
| Title |
| Image |
| Created |
| Updated |
| Last Event Date |
| Location Address 1 |
| Location Address 2 |
| Location City |
| Location Region |
| Location Country |
| Location Zip |
| Location Timezone |
| Location Latitude |
| Location Longitude |
| Location IP |
| Properties |
| Subscriptions |
| Predictive Analytics |
| Relationships |
| Date Exported |
Static lists of profiles
| Columns |
|---|
| List ID |
| Type |
| Name |
| Created |
| Updated |
| Opt-In Process |
| Profile Count |
| Relationships |
| Date Exported |
Dynamic profile segments
| Columns |
|---|
| Segment ID |
| Type |
| Name |
| Created |
| Updated |
| Is Active |
| Is Processing |
| Is Starred |
| Definition |
| Relationships |
| Date Exported |
Email campaigns (channel filter applied)
| Columns |
|---|
| Campaign ID |
| Type |
| Name |
| Status |
| Archived |
| Audiences |
| Send Options |
| Tracking Options |
| Send Strategy |
| Created At |
| Scheduled At |
| Updated At |
| Send Time |
| Relationships |
| Date Exported |
SMS campaigns (channel filter applied)
| Columns |
|---|
| Campaign ID |
| Type |
| Name |
| Status |
| Archived |
| Audiences |
| Send Options |
| Tracking Options |
| Send Strategy |
| Created At |
| Scheduled At |
| Updated At |
| Send Time |
| Relationships |
| Date Exported |
Automated flows
| Columns |
|---|
| Flow ID |
| Type |
| Name |
| Status |
| Archived |
| Created |
| Updated |
| Trigger Type |
| Relationships |
| Date Exported |
Event metrics available in the account
| Columns |
|---|
| Metric ID |
| Type |
| Name |
| Created |
| Updated |
| Integration |
| Relationships |
| Date Exported |
Tracked events (date-filtered by datetime)
| Columns |
|---|
| Event ID |
| Type |
| Timestamp |
| Datetime |
| UUID |
| Event Properties |
| Profile ID |
| Metric ID |
| Relationships |
| Date Exported |
Catalog products / items
| Columns |
|---|
| Item ID |
| Type |
| External ID |
| Title |
| Description |
| Price |
| URL |
| Image URL |
| Published |
| Created |
| Updated |
| Custom Metadata |
| Relationships |
| Date Exported |
Catalog item variants
| Columns |
|---|
| Variant ID |
| Type |
| External ID |
| Title |
| Description |
| SKU |
| Inventory Policy |
| Inventory Quantity |
| Price |
| URL |
| Image URL |
| Published |
| Created |
| Updated |
| Custom Metadata |
| Relationships |
| Date Exported |
Catalog categories
| Columns |
|---|
| Category ID |
| Type |
| External ID |
| Name |
| Updated |
| Relationships |
| Date Exported |
Coupon definitions
| Columns |
|---|
| Coupon ID |
| Type |
| External ID |
| Description |
| Relationships |
| Date Exported |
Individual coupon codes
| Columns |
|---|
| Coupon Code ID |
| Type |
| Unique Code |
| Expires At |
| Status |
| Relationships |
| Date Exported |
Signup / embeddable forms
| Columns |
|---|
| Form ID |
| Type |
| Name |
| Status |
| A/B Test |
| Created At |
| Updated At |
| Relationships |
| Date Exported |
Uploaded images
| Columns |
|---|
| Image ID |
| Type |
| Name |
| Image URL |
| Format |
| Size |
| Hidden |
| Updated At |
| Date Exported |
Account tags
| Columns |
|---|
| Tag ID |
| Type |
| Name |
| Relationships |
| Date Exported |
Email / message templates
| Columns |
|---|
| Template ID |
| Type |
| Name |
| Editor Type |
| HTML |
| Text |
| Created |
| Updated |
| Date Exported |
Product reviews (when Reviews is enabled)
| Columns |
|---|
| Review ID |
| Type |
| Status |
| Verified |
| Created |
| Updated |
| Rating |
| Title |
| Content |
| Product |
| Author |
| Relationships |
| Date Exported |
See how teams export clean ecommerce and marketing data to BigQuery, Google Sheets, or Excel without manual work.
Shopify Store and Food delivery
Super easy to use and has been extremely useful in getting the real time data we need from our Shopify store. Ryan was super helpful in getting started, and responded to questions within minutes. Highly recommend.
Multi-brand Shopify Plus Operator
We run multiple Shopify stores and needed brand-level exports into BigQuery without custom pipeline maintenance. SyncRange gave us reliable scheduled exports and removed hours of manual QA.
Large marketplace
We struggled to find a Shopify extraction tool that went beyond basic product, order, and customer data until we found SyncRange. It effortlessly pulls everything we require, including metaobjects and custom fields. SyncRange's hands-on guidance has given us complete confidence.
Large Shopify Store
SyncRange was very helpful setting up Report Automation for my store. Highly recommend, Ryan made it as simple as possible and was very easy to work with. I recommend.
Connect your account, then follow the configuration guide for your first export.
Other data sources you can sync to BigQuery