Connect Vouchery and TimescaleDB to Build Intelligent Automations
Choose a Trigger
When this happens...
Voucher Created
Choose an Action
Automatically do this!
- Request a new Action for TimescaleDB
Enable Integrations or automations with these events of Vouchery and TimescaleDB
Enable Integrations or automations with these events of Vouchery and TimescaleDB
Triggers
Voucher Created
Triggered when a new voucher is created.
Actions
Create Customer
Create a Customer
Create Redemption
Pass redemption data and get discount data back to your app.
Find Voucher
Find voucher by campaign metadata.
List Customers
Get a list of customers.
Get Not Cancelled Redemptions
Get not cancelled redemptions
List Invalid Redemptions
Get a list of all invalid redemptions.
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Frequently Asked Questions
To start, connect both your Vouchery and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Vouchery triggers actions in TimescaleDB (or vice versa).
Absolutely. You can customize how Vouchery 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 Vouchery 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 Vouchery 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 Vouchery
Vouchery is a comprehensive platform designed to streamline the creation, management, and optimization of promotional campaigns and vouchers. It offers businesses the tools to enhance customer engagement and drive sales through targeted promotions.
Learn MoreAbout 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.
Learn More
