Zendesk Support analytics, without the export
Tickets, satisfaction scores and the queue behind them.
What teams ask of Zendesk Support
Typed the way you would say them. Each answer comes back with its chart, its numbers and the SQL that produced them, so it can be checked before anyone acts on it.
- “Which product areas generate the most tickets, and did that track a release?”
- “What is first response time by tier, and which accounts sit worst?”
- “Which customers raised tickets in the month before they churned?”
- “How does ticket volume per account correlate with account size?”
What it gets joined with
The questions that matter rarely live in one system. Supaboard writes the query across every source you have connected, so the join happens when the question is asked rather than in a pipeline project that has to be scoped first.
- Salesforce — support load against account value.
- PostgreSQL — the ticket against what the user was doing in the product.
How the connection works
Zendesk Support is one of the 123 sources you can connect yourself, out of a catalogue of 700+. Setting up a first analysis takes about 5 minutes.
- Read-only by construction: the query layer rejects DDL and DML — DROP, CREATE, ALTER, TRUNCATE, INSERT, UPDATE, DELETE, GRANT, REVOKE and CALL — before a statement reaches your source.
- Credentials are encrypted at rest, scoped per workspace, never logged and never returned to a client.
- On the Enterprise plan the whole platform runs inside your own VPC, with no data egress at all. See Enterprise.
- From $83 per user per month billed annually, with a 14-day free trial and no credit card — see pricing.
More sources
Other connectors with a guide:
Also in Sales Marketing & Customer: ActiveCampaign, Adobe Analytics, Adobe Commerce, Aircall, Akeneo, Amazon Ads, Apple Search Ads, Attio, BigCommerce, Bigin by Zoho CRM, Brevo, Clearbit — and the rest of the 700+ source catalogue.
Weighing this against another tool? See the sourced comparison of 14 BI platforms, or what an AI data analyst does with a connection like this one.
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