
When this happens...

Automatically do this!
Create a Container Registry
Create a Template
Find a Container Registry Auth
Delete a Container Registry Auth
Delete a Template
Create Registry Authentication
Enable Integrations or automations with these events of Conversion Chats and RunPod
Sends WhatsApp message using template.
Add the contact details into the database and can select the specific group to add contacts in conversion chats.
Update the contact details into the database and can select the specific group to add contacts in conversion chats.
Create a new container registry auth
Create a new template.
Get a single container registry auth

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To start, connect both your Conversion Chats and RunPod accounts to viaSocket. Once connected, you can set up a workflow where an event in Conversion Chats triggers actions in RunPod (or vice versa).
Absolutely. You can customize how Conversion Chats data is recorded in RunPod. This includes choosing which data fields go into which fields of RunPod, setting up custom formats, and filtering out unwanted information.
The data sync between Conversion Chats and RunPod 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 Conversion Chats and RunPod. 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.
Conversion Chats is a platform designed to enhance customer engagement and boost conversion rates through interactive WhatsApp chat solutions. It provides businesses with tools to create personalised chat experiences that can help convert WhatsApp visitors into customers, improve customer support, and increase overall sales.
Learn MoreRunPod is a platform that provides cloud-based computing resources for running and managing machine learning models, data processing tasks, and other computational workloads. It offers scalable and efficient solutions for developers and data scientists to deploy and execute their projects seamlessly.
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