Connect SendFox and TimescaleDB to Build Intelligent Automations
Enable Integrations or automations with these events of SendFox and TimescaleDB
Enable Integrations or automations with these events of SendFox and TimescaleDB
Triggers
New Unsubscribe
Triggered when a new contact is unsubscribed.
New Contact
Triggered when a lists the contacts.
New Campaign
Triggered when a lists the campaigns.
New List
Triggered when a lists the list.
Actions
Unsubscribe Contact
unsubscribes a contact
Create a Contact
Creates a new contact.
Create a List
Creates a new list
Remove a Contact from a List
Removes a contact from a specific list
Find Campaign
Retrieves the details of a campaign using its ID.
List all Campaigns
Lists all campaigns
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Frequently Asked Questions
To start, connect both your SendFox and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in SendFox triggers actions in TimescaleDB (or vice versa).
Absolutely. You can customize how SendFox data is recorded in TimescaleDB. This includes choosing which data fields go into which fields of TimescaleDB, setting up custom formats, and filtering out unwanted information.
The data sync between SendFox and TimescaleDB 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 SendFox and TimescaleDB. 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 SendFox
SendFox is an email marketing tool designed for content creators that combines automation and customization to help manage email lists and create engaging emails.
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About TimescaleDB
TimescaleDB is a powerful time-series database designed for fast ingest and complex queries, making it ideal for handling time-series data efficiently. It extends PostgreSQL, providing scalability and performance enhancements specifically for time-series workloads.
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