Looker
Overview
Required plan
This feature or setting is available to all customers on any Recurly Engage subscription plan.
Prerequisites & limitations
Node.js >= 14
ReadMe CLI installed
Not supported on IE11
Requires internet connection
Definition
Configures a scheduled Looker data export to push CSV files of user traits into the Recurly Engage S3 bucket.
Key benefits
- Automated workflows: Eliminate manual CSV downloads by scheduling daily Looker exports directly into S3.
- Consistent data: Ensure your trait imports always use the latest data without human intervention.
- Secure transfer: Credentials are managed by Recurly Engage and only grant access to the designated S3 bucket.
Key details
Below is a step-by-step guide to configure your Looker schedules and connect them to your Recurly Engage S3 bucket.
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Retrieve S3 credentials in Pulse
- Go to Settings > Custom Traits in your Recurly Engage console.

- Click Click here for AWS S3 credentials and check Show Credentials to reveal your Bucket name, Access Key, and Secret Key.


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Log in to Looker
- Open a new browser tab and navigate to Looker.

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Locate your user data Look
- Select the folder containing your user trait data.

- Choose an existing Look that outputs all required trait columns.

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Ensure correct column ordering
- Make sure the first column is your customer ID (e.g.,
user_id). If not, edit the Look to reposition it.

- Make sure the first column is your customer ID (e.g.,
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Create a schedule
- Click Create Schedules on the Look.

- In the schedule modal, choose Amazon S3, then paste your Recurly Engage Bucket, Access Key, and Secret Key into the fields. Adjust the delivery time if needed.

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Save and verify
- Save the schedule. Looker will now push a CSV of your user traits to the S3 bucket each day at the scheduled time.
Once set up, your Recurly Engage instance will automatically ingest the daily CSV upload within a few hours, keeping your user traits up to date for segmentation and targeting purposes.
Updated 11 months ago