Connect touchSMS and Fivetran to Build Intelligent Automations
Choose a Trigger
When this happens...
New SMS Received
Choose an Action
Automatically do this!
- Request a new Action for Fivetran
Enable Integrations or automations with these events of touchSMS and Fivetran
Enable Integrations or automations with these events of touchSMS and Fivetran
Triggers
New SMS Received
Triggers when your touchSMS account receives a new SMS and provides the message details (sender, text, time).
Actions
Create Contact
Add a new contact in touchSMS using a mobile number and optional details (first name, surname, email, group). Can update the contact if the number already exists.
Send SMS
Send a text message to the specified phone number using your approved sender ID.
Send Verification SMS
Send an SMS verification code to a recipient using the touchSMS verification template.
Add Opt-Out Number
Adds a mobile number to the touchSMS opt-out list to stop SMS delivery.
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Frequently Asked Questions
To start, connect both your touchSMS and Fivetran accounts to viaSocket. Once connected, you can set up a workflow where an event in touchSMS triggers actions in Fivetran (or vice versa).
Absolutely. You can customize how touchSMS data is recorded in Fivetran. This includes choosing which data fields go into which fields of Fivetran, setting up custom formats, and filtering out unwanted information.
The data sync between touchSMS and Fivetran 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 touchSMS and Fivetran. 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 Fivetran
Fivetran is a leading data integration service that automates the process of connecting and syncing data from various sources into a centralized data warehouse. It simplifies the ETL (Extract, Transform, Load) process, allowing businesses to focus on analyzing their data rather than managing data pipelines.
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