Connect Wizu and fraudlabs pro to Build Intelligent Automations

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Wizu

When this happens...

Choose an Action

fraudlabs pro

Automatically do this!

Enable Integrations or automations with these events of Wizu and fraudlabs pro

Enable Integrations or automations with these events of Wizu and fraudlabs pro

Actions

Create Invitation

Create Invitation

Create and optionally send a survey invitation to a customer.

Request a new Action for Wizu

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Frequently Asked Questions

How do I start an integration between Wizu and fraudlabs pro?

To start, connect both your Wizu and fraudlabs pro accounts to viaSocket. Once connected, you can set up a workflow where an event in Wizu triggers actions in fraudlabs pro (or vice versa).

Can we customize how data from Wizu is recorded in fraudlabs pro?

Absolutely. You can customize how Wizu data is recorded in fraudlabs pro. This includes choosing which data fields go into which fields of fraudlabs pro, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Wizu and fraudlabs pro?

The data sync between Wizu and fraudlabs pro typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Wizu to fraudlabs pro?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Wizu and fraudlabs pro?

Yes, you can set conditional logic to control the flow of data between Wizu and fraudlabs pro. 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.

Wizu

About Wizu

Wizu is a platform designed to enhance user engagement and feedback collection through interactive surveys and forms, helping businesses understand their audience better.

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fraudlabs pro

About fraudlabs pro

FraudLabs Pro helps merchants to protect their online stores from payment frauds.

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