Import data from Klaviyo[BETA]
Zoho DataPrep allows you to bring in data from Klaviyo, a marketing automation platform that combines marketing automation, analytics, and customer service into one unified solution, making it easy for businesses. With this integration, you can prepare data and gain deeper insights into campaign performance, customer behavior, and trends, enabling informed decisions and enhanced marketing strategies.
To import data from Klaviyo
1. Open an existing pipeline or create a pipeline from the Home Page, Pipelines tab or Workspaces tab and click the Add data option.
Info: You can also click the Import data 
Note: If you had already added a connection earlier, click the required connection and proceed to import. You can also find your saved connections under the Saved connections category from the left pane. To learn more about Saved connections, click here.To authenticate your Klaviyo account
To get the API key
- Click the profile icon from the bottom of the left pane and click Settings. Choose the API Keys option under the Account section.
- Bounced Email_Klaviyo
- Clicked Email_Klaviyo
- Opened Email_Klaviyo
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- Marked Email as Spam_Klaviyo
- ListsAndSegments
- EmailCampaigns
- EmailCampaignsVsListsIncluded
- EmailCampaignsVsListsExcluded
- Flows
- Profiles
- Bounced Email_Klaviyo
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- Opened Email_Klaviyo
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- Marked Email as Spam_Klaviyo
Schedule
Schedule configuration
1. Select the Schedule option in the pipeline builder.
2. Select a Repeat method (hourly, daily, weekly, monthly) and set frequency using Perform every dropdown. The options of the Perform every dropdown change with the Repeat method. Click here to know more.
Info: The range can be between 2-100. The default value is 2.Import configuration
Import all data
- Bounced Email_Klaviyo
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- Received Email_Klaviyo
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- Marked email as Spam_Klaviyo
Incremental data fetch
Only modified and new data
- Bounced Email_Klaviyo
- Clicked Email_Klaviyo
- Opened Email_Klaviyo
- Received Email_Klaviyo
- Dropped Email_Klaviyo
- Marked Email as Spam_Klaviyo
Use existing data if new data is not available:
When there are no new data in the source during incremental import,
If the checkbox is checked: The last fetched data will be imported again.
If the checkbox is unchecked: The import will be skipped and no data will be imported.
The modified and new data will be fetched using the Created_At and Updated_At columns from the last imported time.Do not import data
Note: If you have already configured a schedule from Klaviyo, data will be reloaded based on your earlier configuration under the Import configuration section when you click on the Edit schedule option and set a new schedule.
Schedule settings
Stop export if data has invalid values: Enabling this will stop the export when prepared data still has invalid values.
Order exports
If not enabled, export will run in the default order.
Note: This option will be visible only if you have added more than one destination in your pipeline.
To rearrange the order of your export destinations
1) Click the Order exports toggle
8. After you configure the schedule configuration, click Save to execute the schedule. This will start the pipeline.
Each scheduled run is saved as a job. When a pipeline is scheduled, the data will be fetched from your data sources, prepared using the series of transforms you have applied in each of the stages, and then data will be exported to your destination at regular intervals. This complete process is captured in the job history.
9. To go to the jobs list of a particular pipeline, go to the
10. Click the required job ID in the Jobs history page to navigate to the Job summary of a particular job.
The Job summary shows the history of a job executed in a pipeline flow. Click here to know more.
Info: You can also view the status of your schedules later on the Jobs page.
Note: If you make any further changes to the pipeline, the changes are saved as a draft version. Choose the Draft option and mark your pipeline as ready for the changes to reflect in the schedule.
After you set your schedule, you can choose to Pause schedule or Resume schedule, Edit schedule and Remove schedule using the Schedule Active option in the pipeline builder.
When you edit and save a schedule, the next job will be from the last schedule run time to the next scheduled data interval.
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