IntegrationsORCIDfunnelytics
ORCID + funnelytics

Connect ORCID and funnelytics to Build Intelligent Automations

Choose a Trigger

ORCID

When this happens...

Choose an Action

funnelytics

Automatically do this!

Enable Integrations or automations with these events of ORCID and funnelytics

Enable Integrations or automations with these events of ORCID and funnelytics

Actions

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Get User Information

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Frequently Asked Questions

How do I start an integration between ORCID and funnelytics?

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

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

Absolutely. You can customize how ORCID 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 ORCID and funnelytics?

The data sync between ORCID 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 ORCID 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 ORCID and funnelytics?

Yes, you can set conditional logic to control the flow of data between ORCID 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.

ORCID

About ORCID

ORCID provides a unique identifier for researchers and scholars, enabling them to manage their professional information and track their research outputs across various platforms.

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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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