Connect DeskTime and funnelytics to Build Intelligent Automations

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DeskTime

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funnelytics

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Enable Integrations or automations with these events of DeskTime and funnelytics

Enable Integrations or automations with these events of DeskTime and funnelytics

Actions

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Frequently Asked Questions

How do I start an integration between DeskTime and funnelytics?

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

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

Absolutely. You can customize how DeskTime 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 DeskTime and funnelytics?

The data sync between DeskTime 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 DeskTime 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 DeskTime and funnelytics?

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

DeskTime

About DeskTime

DeskTime is a time tracking and productivity app designed for teams and freelancers to enhance efficiency by automatically tracking time spent on tasks, applications, and websites. It provides detailed productivity analysis by categorizing activities and tracking idle time.

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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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