Connect YourGPT and GiftUp to Build Intelligent Automations
Ready to use YourGPT and GiftUp automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Message Received
Triggers when a new message is received in your YourGPT chatbot session.
User Message Sent
Triggers when a user sends a message to the YourGPT chatbot in an active session.
New Order
Trigger when a new order is placed.
Gift Card Redeemed
Trigger when a gift card is redeemed.
Gift Card Updated
Triggers on any changes to a gift card, including redemptions.
New Gift Card
Trigger when a new gift card is created.
Do thisActions
Action is the task that follows automatically within your YourGPT integrations.
Send Message
To send a new message.
Create New Session
To create a new Session
Create Order
Creates a order.
Redeem Gift Card
Will deduct the specified amount of remaining credit from a gift card.
Update a gift card
Update the properties for a gift card.
Create a new item group
Create a new item group.
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Frequently Asked Questions
To start, connect both your YourGPT and GiftUp accounts to viaSocket. Once connected, you can set up a workflow where an event in YourGPT triggers actions in GiftUp (or vice versa).
Absolutely. You can customize how YourGPT data is recorded in GiftUp. This includes choosing which data fields go into which fields of GiftUp, setting up custom formats, and filtering out unwanted information.
The data sync between YourGPT and GiftUp typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between YourGPT and GiftUp. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About YourGPT
YourGPT is an advanced AI tool designed to assist users in generating human-like text based on the input provided. It leverages state-of-the-art machine learning models to understand and produce text that is coherent and contextually relevant, making it ideal for content creation, customer support, and more.
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