Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
Real User
Top 10
Mar 18, 2026
My main use case for Tray.io is to conduct A/B testing for marketing initiatives that the company has undertaken. We test the deployment of different campaigns across similar cohorts and evaluate which one performs better. Tray.io fits into my A/B testing process by analyzing the number of words used by consumers in comments and the number of times they stopped campaign videos at specific points. Through this analysis, we can investigate the attention levels of users and determine what thoughts are elicited by the campaign. I have found that the error management in my main use case with Tray.io is not as effective as we would prefer. We would appreciate having a way to recycle cases that do not carry much value. Every user is precious in their own way, and even if a user does not provide much information, we would still value the ability to extract some information from those boundary cases.
Operations Analyst at a tech vendor with 51-200 employees
Real User
Top 20
Mar 12, 2026
We run automation workflows with Tray.io to take data from our internal databases and update a third-party software that we use. Specifically, my company offers digital trade credit, and we use that software to support our collections processes. At a high level, our systems call a webhook in Tray.io. The workflows in Tray.io then triage and process the incoming data, and finally makes API calls to the third-party service to modify objects.
Tray.io is an advanced integration platform that allows seamless connectivity between applications, designed to automate workflows and streamline business processes.
Tray.io provides an extensive library of pre-built connectors and powerful automation tools, making it easy for businesses to boost efficiency. Its drag-and-drop workflow builder enables integration without code, catering to both technical and non-technical users. Being highly customizable and scalable, Tray.io helps...
My main use case for Tray.io is to conduct A/B testing for marketing initiatives that the company has undertaken. We test the deployment of different campaigns across similar cohorts and evaluate which one performs better. Tray.io fits into my A/B testing process by analyzing the number of words used by consumers in comments and the number of times they stopped campaign videos at specific points. Through this analysis, we can investigate the attention levels of users and determine what thoughts are elicited by the campaign. I have found that the error management in my main use case with Tray.io is not as effective as we would prefer. We would appreciate having a way to recycle cases that do not carry much value. Every user is precious in their own way, and even if a user does not provide much information, we would still value the ability to extract some information from those boundary cases.
We run automation workflows with Tray.io to take data from our internal databases and update a third-party software that we use. Specifically, my company offers digital trade credit, and we use that software to support our collections processes. At a high level, our systems call a webhook in Tray.io. The workflows in Tray.io then triage and process the incoming data, and finally makes API calls to the third-party service to modify objects.