Connect Privyr and amazon sqs to Build Intelligent Automations

Choose a Trigger

Privyr

When this happens...

Choose an Action

amazon sqs

Automatically do this!

Enable Integrations or automations with these events of Privyr and amazon sqs

Enable Integrations or automations with these events of Privyr and amazon sqs

Actions

Create Client

Create Client

Creates a new client

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Frequently Asked Questions

How do I start an integration between Privyr and amazon sqs?

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

Can we customize how data from Privyr is recorded in amazon sqs?

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

How often does the data sync between Privyr and amazon sqs?

The data sync between Privyr and amazon sqs 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 Privyr to amazon sqs?

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 Privyr and amazon sqs?

Yes, you can set conditional logic to control the flow of data between Privyr and amazon sqs. 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.

Privyr

About Privyr

Privyr is a mobile CRM built for sales professionals who run their businesses from their phone. It works with WhatsApp, iMessage, SMS, email, and other popular chat apps.

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amazon sqs

About amazon sqs

Amazon Simple Queue Service is a simple but powerful services for generating and consuming messages. It can help decouple systems for improved scalability and robustness.

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