Analyze your Klaviyo data with Google BigQuery
About Klaviyo
About Google BigQuery
Connect Klaviyo to Google BigQuery in 2023
It is very simple to connect Klaviyo to Google BigQuery, it can be done in a fast and easy manner with Windsor.ai.
First Step:
You need to select Klaviyo as a Data Source and Grant Access to Windsor.ai.
Second Step:
You will need to go to Google BigQuery as a Destination.
Third Step:
Make sure you follow the instructions on the screen. Once you complete the setup your data will start streaming in the interval you specify. You can always come back and change the settings at a later stage.
(Don’t forget to grant access to bq-upload@windsor-ai-bigquery.iam.gserviceaccount.com)
Fourth Step:
As a connector URL, you can use any URL providing a JSON. Either from the connectors or for example a URL with cached and transformed data from Charts.Windsor.ai
Klaviyo metrics and dimensions available for streaming into Google BigQuery
| Name | Type | Description |
|---|---|---|
| Account ID | TEXT | Klaviyo account ID |
| Address Line 1 | TEXT | The primary address line of the object |
| Address Line 2 | TEXT | The secondary address line of the object |
| Campaign Name | TEXT | Campaign name |
| Campaign Id | TEXT | Campaign id |
| City | TEXT | The city of the object |
| Click rate | NUMERIC | Click rate of e-mails |
| Clicks | NUMERIC | Number of unique e-mail clicks |
| Conversions | NUMERIC | Total Value of placed orders |
| Average Conversion Value | NUMERIC | Average value of placed orders |
| Country | COUNTRY | The country of the object |
| Created at | TEXT | Campaign creation time |
| Created Date/Time | DATE | The time stamp of the object creation |
| Date | DATE | Date of metric type data |
| Email address | TEXT | The email address of the object |
| First Name | TEXT | The first name of the object |
| From E-mail | TEXT | From e-mail |
| From Name | TEXT | From name |
| ID | TEXT | The ID of the object |
| Last Name | TEXT | The last name of the object |
| Latitude | TEXT | The latitude of the object |
| Longitude | TEXT | The longitude of the object |
| Members | NUMERIC | Total number of members in lists for the period |
| Object Type | TEXT | The type of the object (e.g. Person) |
| Open rate | NUMERIC | Open rate of E-mails |
| Opens | NUMERIC | Number of unique e-mail opens |
| Ordered Product | NUMERIC | Total amount of Ordered product |
| Ordered Product Average Value | NUMERIC | Ordered product average value |
| Ordered Product Value | NUMERIC | Ordered product value |
| Organization Name | TEXT | The organization of the object |
| Phone Number | TEXT | The phone number of the object |
| Received e-mails | NUMERIC | Number of e-mails received |
| Region | TEXT | The region of the object |
| Sent at | TEXT | Campaign sent time |
| Status | TEXT | Campaign status |
| Subject | TEXT | Campaign subject |
| Time Zone | TEXT | The time zone of the object |
| Title | TEXT | The title of the object |
| Total Clicks | NUMERIC | Total number of e-mail clicks |
| Total Conversions | NUMERIC | Total amount of placed orders |
| Total Opens | NUMERIC | Total number of e-mail opens |
| ZIP Code | TEXT | The zip code of the object |
Windsor.ai: Easily connect Klaviyo to Google BigQuery
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