
When this happens...

Automatically do this!
Enable Integrations or automations with these events of Segmetrics and Numerai
Returns the full customer journey of a single contact by email
Adds a contact to the specified SegMetrics integration.
Add Tags to given contact.
Adds a purchase to the specified SegMetrics integration.
Adds a subscription to the existing contact. If the subscription id already exist, it will be updated.
Remove Tags to Contact
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Segmetrics and Numerai accounts to viaSocket. Once connected, you can set up a workflow where an event in Segmetrics triggers actions in Numerai (or vice versa).
Absolutely. You can customize how Segmetrics data is recorded in Numerai. This includes choosing which data fields go into which fields of Numerai, setting up custom formats, and filtering out unwanted information.
The data sync between Segmetrics and Numerai 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 Segmetrics and Numerai. 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.
SegMetrics gives you clarity on where your leads come from, how they act, and how much your marketing is really worth.
Learn MoreNumerai is a unique hedge fund that leverages the power of data science and machine learning to make stock market predictions. It operates as a decentralized network where data scientists from around the world can contribute their models to improve the fund's performance. By using encrypted data, Numerai ensures privacy and security while fostering collaboration among its community of data scientists.
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