Connect Eventzilla and Highcharts to Build Intelligent Automations
Choose a Trigger
When this happens...
Attendee Check-In Changes
New Registration
Registration Is Updated
Choose an Action
Automatically do this!
- Request a new Action for Highcharts
Enable Integrations or automations with these events of Eventzilla and Highcharts
Enable Integrations or automations with these events of Eventzilla and Highcharts
Triggers
Attendee Check-In Changes
Runs when attendee check-in changes
New Registration
Runs when new registration occurs
Registration Is Updated
Runs when registration is updated
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Frequently Asked Questions
To start, connect both your Eventzilla and Highcharts accounts to viaSocket. Once connected, you can set up a workflow where an event in Eventzilla triggers actions in Highcharts (or vice versa).
Absolutely. You can customize how Eventzilla data is recorded in Highcharts. This includes choosing which data fields go into which fields of Highcharts, setting up custom formats, and filtering out unwanted information.
The data sync between Eventzilla and Highcharts typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Eventzilla and Highcharts. 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.
About Eventzilla
Eventzilla is a do-it-yourself event ticketing and marketing platform that helps event organizers to sell tickets online, process credit card payments and promote events across social media channels.
Learn MoreAbout Highcharts
Highcharts is a popular JavaScript charting library that enables developers to create interactive and responsive charts for web applications. It offers a wide range of chart types and is highly customizable, making it suitable for visualizing complex data sets.
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