The use case: how Jellyvision deploys Tray.io
Jellyvision's revenue team built a custom workflow between Marketo and Salesforce, using Bizible and RingLead, to match leads to accounts, de-dupe and segment leads, and route them to the right sales team member. It replaced reliance on out-of-the-box Marketo and Salesforce features and handled a lead database too large for Marketo alone.
In the customer’s words
We got our lead response time down from 30 minutes to 10. Tray is powerful and flexible enough to rapidly manage huge amounts of data at enterprise scale.Other AI tools used by Jellyvision
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Other companies using Tray.io
Customers across industries, with public evidence.
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Go straight to the source
Based on Tray.io’s published case study. We check the public evidence; the results are reported by the vendor.
tray.ai- Source published
- Jan 12, 2025
- Last checked
- Oct 31, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 30 minutes to 10Checked
Printed word for word on the page, near the name of Jellyvision.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Jellyvision.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- Jellyvision uses Tray.ioChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Previously, pushing so much data through Marketo meant delays in our lead qualification process as we verified the integrity and accuracy of leads before routing them to sales.