Connect Privyr and funnelytics to Build Intelligent Automations

Choose a Trigger

Privyr

When this happens...

Choose an Action

funnelytics

Automatically do this!

Enable Integrations or automations with these events of Privyr and funnelytics

Enable Integrations or automations with these events of Privyr and funnelytics

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 funnelytics?

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

Can we customize how data from Privyr is recorded in funnelytics?

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

How often does the data sync between Privyr and funnelytics?

The data sync between Privyr and funnelytics 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 funnelytics?

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 funnelytics?

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

About funnelytics

Funnelytics is a visual customer journey analytics tool that lets you map your journey on a whiteboard and overlay data to see how it's actually performing.

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