The use case: how Cohley deploys Pendo
Cohley connected Pendo's MCP server to its internal AI assistant Dust, so Customer Success, Sales, and Support staff can ask natural-language questions about customer product behavior alongside data from other systems. This lets them prepare for client meetings and retention and upsell conversations without asking the Director of Product to pull data.
In the customer’s words
The MCP allows our employees to ask questions in natural language and get back custom charts. This is a game changer for upsells, retention, and ensuring smart questions are asked in every client meeting.Other companies using Pendo
Customers across industries, with public evidence.
See all Pendo customers
Go straight to the source
Based on Pendo’s published case study. We check the public evidence; the results are reported by the vendor.
pendo.io- Source published
- Mar 24, 2026
- Last checked
- Nov 12, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Cohley.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- Cohley uses PendoChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
CSMs now prepare for client meetings in minutes instead of waiting on product to pull data. One CSM independently built a personalized "year in review" for a client, no dev time required.