Customer support ticket data
Support tickets with full threads, categories, priority, resolution codes, CSAT and linked help articles.
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.
- 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
- Export tickets with threads, metadata and outcomes; leave attachments out at first.
- De-identify customer details and replace them with consistent placeholders.
- Remove tickets about legal disputes, security incidents or regulated data.
- 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
De-identifying data for AI trainingDe-identification removes or replaces information that identifies people, so data can be licensed with lower privacy risk.BothHow to sell data to AI companiesAI companies license data they cannot get from the open web: private, well-structured records from real work, with clear rights.Data holders
Related data types
Sources
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