Salesforce only knows its half.
Salesforce tracks zendesk tickets, but can't see emails. So what you read there is already partial.
Build a Customer Sentiment Tracker Agent withSalesforce, Gong, and Zendesk Support
The data for your renewal already exists in Salesforce / Gong / Zendesk Support. The problem is no one view joins it. Customer health is a lagging indicator without real-time aggregation; by the time batch data reveals churn risk, it's often too late.
To aggregates sentiment signals across support tickets you open Salesforce, Gong, and Zendesk Support by hand. Every renewal, all over again.
Now your agent can fix it.
Now your agent can fix it.
Gong holds what Salesforce misses.
Emails lives in Gong, cut off from zendesk tickets, so customer sentiment tracker guesses at the link.
Zendesk Support knows before you do.
NPS surveys lands in Zendesk Support hours early. Too far from Salesforce to change the renewal in time.
Under The Hood
One prompt to aggregates sentiment signals across support tickets. Three sources, already connected. Already connected.
01
Check aggregates sentiment signals across support tickets from Salesforce (system of record)
Zendesk tickets
02
Fetch emails from Gong (call platform)
Gmail/support emails
03
Read NPS surveys from Zendesk Support (support desk)
NPS/survey platform
output
Agent-ready output
The digest for the renewal: Aggregates sentiment signals across support tickets, emails, NPS surveys, and call transcripts to calculate health scores, riskiest items surfaced and owned.
The Context Store
Salesforce / Gong / Zendesk Support arrive matched on the account, ready to aggregates sentiment signals across support tickets.
Airbyte folds Salesforce / Gong / Zendesk Support and 7 more into the Context Store: zendesk tickets, Gmail/support emails, NPS/survey platform, Gong calls, CRM account data land in one schema, joined on a shared account key, so customer sentiment tracker never touches a raw Salesforce endpoint.
Your agent queries one surface instead of three APIs. Faster responses, lower cost per query, and results that work because the relationships were built before you asked the question.
PRE-JOINED ACCOUNTUNIFIED SCHEMAONE API SURFACE
The Prompt
Copy. Paste.
a Customer Sentiment Tracker Agent
Two steps. Your data, your results, under 60 seconds.
01install
Connect the Airbyte Agent MCP02copy and run
Build me a customer sentiment tracker: read Salesforce, Gong, and Zendesk Support and hand back one digest.
SETUP
You have Airbyte's MCP, wiring up 10+ tools you can query in plain language.
WORKFLOW
connect Salesforce, Gong, and Zendesk Support -> read zendesk tickets, Gmail/support emails, NPS/survey platform, Gong calls, CRM account data -> merge into one account view -> rank and explain. Each unconnected source is a one-off connect step away.
TASK
Aggregates sentiment signals across support tickets, emails, NPS surveys, and call transcripts to calculate health scores and surface the digest: highest-risk accounts first, each with a recommended next step.The Outcome
Customer Sentiment Tracker: 3 hours of work, one short run.
10x
Faster
10x. 3 hours to aggregates sentiment signals across support tickets becomes one run of customer sentiment tracker.
90%
Cheaper to run
90% off the build cost: 10 sources already licensed, nothing extra to aggregates sentiment signals across support tickets.
3 -> 1
Tools, one query
3 tabs into 1: Salesforce, Gong, and Zendesk Support collapse to one view to aggregates sentiment signals across support tickets.
Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.
01 · Output
Priority scoring
Every account scored 1-10, so customer sentiment tracker surfaces what needs you first instead of an alphabetized list.
02 · Signal
Where the tools disagree
Any conflict between Salesforce and Gong on zendesk tickets is raised for review rather than silently smoothed over.
03 · Context
Context overlay
Each line carries its evidence. Emails pulled from Gong and Zendesk Support. Right where you read it.
04 · Action
One move per line
For each account, customer sentiment tracker names the next step. The play and the person to run it. Not just a number.
05 · Brief
Paste-ready output
The digest arrives meeting-ready: zendesk tickets first, sources attached, Salesforce, Gong, and Zendesk Support reconciled.
After Customer Sentiment Tracker: more support agents to build
view All use casesIT Helpdesk Agent
The data for your renewal already exists in Jira / Incident.io / Sentry. The problem is no one view joins it. IT tickets grow 20% annually.
Support Ticket Resolution Assistant
Right now the renewal means stitching Salesforce / Zendesk Support / Notion by hand. Support agents context-switch constantly; they need answers in under 10 seconds to maintain productivity, so the work lands late and half-blind.
Helpdesk Agent
Support teams run renewals on stale, scattered data: Zendesk Support, Jira, and Notion each hold a piece, none hold the whole. 40% of tickets are repetitive.
Common questions
Didn't find your answer? Please don't hesitate to reach out.
How do I trust the renewal?
Customer Sentiment Tracker cites a source per line. Zendesk tickets from Salesforce, the rest from Gong and Zendesk Support. So any figure traces back.
Can I tweak what Customer Sentiment Tracker returns?
Edit the TASK line. Change the ranking, the digest format, or which of Salesforce, Gong, and Zendesk Support it leans on.
How long until Customer Sentiment Tracker is live?
Minutes. Each connector is a one-off connect step, then customer sentiment tracker runs on demand or on a schedule.
Which clients run customer sentiment tracker?
Cursor, Claude, or your own MCP client. Each points at the same Salesforce, Gong, and Zendesk Support connectors customer sentiment tracker uses.
Your support data already lives in Salesforce / Gong / Zendesk Support. Let customer sentiment tracker use it.
55+ connectors including Salesforce, Gong, and Zendesk Support are ready. Give customer sentiment tracker the access to aggregates sentiment signals across support tickets.
