Google Sheets integration with Pipeless Recommendations
How to Add events in Pipeless Recommendations for new spreadsheet rows in Google Sheets
Steps to automate
Use Nekton workflow automation service.Preparation
Create Nekton account. You can also use your existing Google account
to sign in.
Create automation
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Click on the "Create new workflow" button, and then add "Automated step".
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Set the step description to "Add events in Pipeless Recommendations for new spreadsheet rows in Google Sheets" and then click on "Automate".
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Provide the necessary parameters and click on the "Test it" button to check your automation. If you had issues with it, you can click on "Automate" again to try a different one.
Create a schedule (optional)
If you want to run this automation on a schedule, click on the gear button on the workflow editor
screen
to configure it. For example, you can run this flow every hour or every day.
Automate Pipeless Recommendations integrations
Pipeless Recommendations actions
Nekton can use any feature that is available in Pipeless Recommendations API.
Using our advanced AI, you can easily create custom automations for Pipeless Recommendations.
Here are some typical actions you can do in your automated workflows.
Create Event
Create a Pipeless Event
Get Activity Actions Feed
Fetch the activity feed for a user (or any other object type). This activity feed format will return acted upon entities as the main result. Ex. one item per post, article, product, etc. Each single item has associated actions.
Get Activity on Object
Gets recent activity on any object
Get Recommended Users to Follow (For User)
For a given user (or any object type), get a list of recommended users for the target user to follow, based on their behavior/tastes.
Get Related Tags
Gets related tags for a given tag (or any other object type, ex. category).
Create Events (With Line Item Support)
Create up to 10 events in one API call. If there are more than 10 events provided, the excess events will be truncated.
About Pipeless Recommendations
Power real-time personalized recommendations and activity feeds using a simple API.