Connect Thankster and Causal to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Thankster
Choose an Action
Automatically do this!
- Request a new Action for Causal
Enable Integrations or automations with these events of Thankster and Causal
Enable Integrations or automations with these events of Thankster and Causal
Actions
Find or Create User
Find or Create User By Email
Create Card Project
Creates a New Card
Apply Image
Apply Your Image in your Template
Order Project
Order Your Project
Create Quick Project
Create and send a Thankster card project using a selected template, sender and recipient details, and optional custom text and images.
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Automate Expense Report Approvals via Slack & QuickBooks
- Send for Approval acceptCreate Entry of expensesAdd Step
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Automate Instagram DM Replies, Reactions, and Team Alerts
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- Notify teamSendMailAdd Step
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Frequently Asked Questions
To start, connect both your Thankster and Causal accounts to viaSocket. Once connected, you can set up a workflow where an event in Thankster triggers actions in Causal (or vice versa).
Absolutely. You can customize how Thankster data is recorded in Causal. This includes choosing which data fields go into which fields of Causal, setting up custom formats, and filtering out unwanted information.
The data sync between Thankster and Causal 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 Thankster and Causal. 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 Thankster
Thankster is an online platform that allows users to create and send personalized thank you cards and notes. It offers a variety of templates and customization options to help users express gratitude in a meaningful way. The service is ideal for both personal and business use, making it easy to maintain relationships and show appreciation.
Learn MoreAbout Causal
Causal is a modern tool designed to simplify financial modeling, forecasting, and data analysis. It allows users to create dynamic models with ease, offering a more intuitive and collaborative approach to handling complex data. With Causal, users can connect their data sources, visualize outcomes, and share insights seamlessly, making it an ideal solution for businesses and individuals looking to enhance their decision-making processes.
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