Connect SandeshChat and Split CSV to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for SandeshChat
Choose an Action
Automatically do this!
- Request a new Action for Split CSV
Enable Integrations or automations with these events of SandeshChat and Split CSV
Enable Integrations or automations with these events of SandeshChat and Split CSV
Actions
Send Template Message
Send a SandeshChat template message to a recipient's phone number.
Send Session Message
Send a chat message (text, image, audio, video, document, or location) to a recipient via SandeshChat.
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Frequently Asked Questions
To start, connect both your SandeshChat and Split CSV accounts to viaSocket. Once connected, you can set up a workflow where an event in SandeshChat triggers actions in Split CSV (or vice versa).
Absolutely. You can customize how SandeshChat data is recorded in Split CSV. This includes choosing which data fields go into which fields of Split CSV, setting up custom formats, and filtering out unwanted information.
The data sync between SandeshChat and Split CSV 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 SandeshChat and Split CSV. 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 SandeshChat
SandeshChat is a dynamic communication platform designed to enhance team collaboration and streamline messaging. Ideal for businesses and teams looking to improve their internal communication, SandeshChat offers a range of features including instant messaging, file sharing, and group chats.
Learn MoreAbout Split CSV
Split CSV is the easiest way to split a CSV file: split a large file into multiple files by file size, number of files, number of lines per file, or number of records per file. You can also remove columns, eliminate duplicates and more!
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