Customer support ticket data

Support tickets with full threads, categories, priority, resolution codes, CSAT and linked help articles.

Domain and enterpriseUpdated
SpecificationWhat buyers and sellers agree on
Measured in
Tickets, by product area, language and years.
Who buys
Support AI vendors, agent builders and labs.
Where it comes from
SaaS and ecommerce companies, IT service desks and managed service providers.
Rights to clear
Privacy notice at collection, B2B confidentiality clauses, help desk platform terms.
Privacy
Names, emails, phone numbers, order and account numbers, and attachments containing personal data.
Pricing signal
Priced on ticket volume, domain and outcome labels.
In short
  • Support tickets pair a real customer problem with the steps that solved it, which support agents and AI assistants learn from.
  • Tickets with resolution codes, satisfaction scores and linked knowledge base articles are worth the most.
  • Customer details in ticket text and attachments are removed before any sample is shared.
  • Business customers' contracts may treat support content as confidential, which needs checking first.

Why tickets are good training data

A resolved ticket is a worked example: symptom, diagnosis, fix and confirmation. Across thousands of tickets, a model learns a product's failure modes and the vocabulary customers actually use.

Preparing a ticket export

  1. Export tickets with threads, metadata and outcomes; leave attachments out at first.
  2. De-identify customer details and replace them with consistent placeholders.
  3. Remove tickets about legal disputes, security incidents or regulated data.
  4. Produce a sample of a few hundred tickets for buyer review.

See conversational data for live chat and call center recordings for voice.

Questions

Are tickets without resolutions useful?

Less so. Resolution notes and outcome codes are what turn tickets into training examples.

Related guides

Sources

  1. Frankfurt Kurnit Klein & Selz: Selling company data for AI training, what to know before you say yes

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