Connect Ticket Tailor and livesession to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Ticket Tailor
Choose an Action
Automatically do this!
- Request a new Action for livesession
Enable Integrations or automations with these events of Ticket Tailor and livesession
Enable Integrations or automations with these events of Ticket Tailor and livesession
Actions
List All Products
Retrieve the list of all products
Create a Product
Create a new product
Create an Event Series
Creates a new event series
Create a Ticket Type
For the given event series ID, create a ticket type
Create a Discount
Creates a discount code that can be used on checkout.
List check ins
List check ins
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Frequently Asked Questions
To start, connect both your Ticket Tailor and livesession accounts to viaSocket. Once connected, you can set up a workflow where an event in Ticket Tailor triggers actions in livesession (or vice versa).
Absolutely. You can customize how Ticket Tailor data is recorded in livesession. This includes choosing which data fields go into which fields of livesession, setting up custom formats, and filtering out unwanted information.
The data sync between Ticket Tailor and livesession 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 Ticket Tailor and livesession. 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 Ticket Tailor
Ticket Tailor is an easy way to sell tickets online for events and attractions. We don't charge any per-ticket fees, and we let you integrate the booking process in to your website.
Learn MoreAbout livesession
LiveSession helps product teams analyze users’ behavior, improve UX, and increase conversion rates using session replays and event-based product analytics.
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