Connect Respond.io and Redis to Build Intelligent Automations
Choose a Trigger
When this happens...
New Contact
Choose an Action
Automatically do this!
- Request a new Action for Redis
Enable Integrations or automations with these events of Respond.io and Redis
Enable Integrations or automations with these events of Respond.io and Redis
Triggers
New Contact
Triggers when new contact created.
Actions
Assign/Unassign Conversation
Updates the assignee of a specific contact. You can unassign the contact by leaving the assignee value empty.
List All Users
Retrieves the list of all users
List All Contacts
List all available contacts. You can use filters in the request body to limit the results to only records with matching contact field values.
Add Comment
Adds a comment to a conversation
Add Space Tag
Adds a space tag
Add Tags
Add tags for a contact
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Frequently Asked Questions
To start, connect both your Respond.io and Redis accounts to viaSocket. Once connected, you can set up a workflow where an event in Respond.io triggers actions in Redis (or vice versa).
Absolutely. You can customize how Respond.io data is recorded in Redis. This includes choosing which data fields go into which fields of Redis, setting up custom formats, and filtering out unwanted information.
The data sync between Respond.io and Redis 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 Respond.io and Redis. 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 Respond.io
respond.io unifies customer communication across instant messaging, web chat, and email for organizations that market, sell, and support.
Learn MoreAbout Redis
Redis is an open-source, in-memory data structure store, used as a database, cache, and message broker. It supports various data structures such as strings, hashes, lists, sets, and more, making it highly versatile for developers looking to build high-performance applications.
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