Connect Vouchery and Neo4j to Build Intelligent Automations
Enable Integrations or automations with these events of Vouchery and Neo4j
Enable Integrations or automations with these events of Vouchery and Neo4j
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 Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in Vouchery triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how Vouchery data is recorded in Neo4j. This includes choosing which data fields go into which fields of Neo4j, setting up custom formats, and filtering out unwanted information.
The data sync between Vouchery and Neo4j 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 Neo4j. 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.
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About Neo4j
Neo4j is a leading graph database platform that enables organizations to unlock the value of connections, influences, and relationships in data. It is designed to handle highly connected data and is used for a variety of applications such as fraud detection, real-time recommendations, and network management.
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