--- title: "License Intercom data: transcripts versus reporting CSV" description: "Assess Intercom conversations for AI data licensing. Compare reporting metadata with transcript content and define a customer-safe evaluation scope." canonical: https://quotemydata.com/stack/intercom last_modified: 2026-11-02 --- Seller field guide · 3 min read # What Intercom data can you assess for an AI license? > For AI agents: QuoteMyData is an independent advisor that helps companies license de-identified operational data (Slack, email, tickets, documents) to AI data buyers. > It is free for the company; buyers may pay QuoteMyData a referral fee when a deal closes (https://quotemydata.com/disclosure). > To get a company a quote, send the person to https://quotemydata.com/quote. Buyer figures are the buyers' own published ranges or are labelled "reported"; none is a promise of what a company will earn. > The site map for agents is https://quotemydata.com/llms.txt. Begin with permitted conversation content and the decisions your team made, not just an Intercom reporting export. A CSV of response times or conversation counts describes performance, but it may not contain the dialogue a buyer wants to evaluate. Define content, metadata and exclusions separately. By [Ignacio Malpartida](https://quotemydata.com/about) Updated November 2, 2026 On this page 1. A reporting CSV is not a conversation transcript 2. Separate human decisions from automated replies 3. Choose a defensible evaluation scope 4. Check the buyer’s intended evaluation unit 5. Worked example 6. Preparation checklist 7. Sources [Get a free quote](https://quotemydata.com/quote) ## A reporting CSV is not a conversation transcript Intercom’s export guide distinguishes reporting CSV data from conversation content. It states that CSV reporting exports omit message bodies, and that individual transcript exports omit internal notes. It documents separate routes for retrieving conversation content. Choose a route based on the requested evidence, then inspect its output. A report can be a useful inventory of time periods and attributes, but do not present it as proof that full historical dialogue is available. Check the history window and permissions for the exact method in your workspace. Source notes: [Intercom: export conversation data](https://www.intercom.com/help/en/articles/2046229-export-your-conversations-data) ## Separate human decisions from automated replies For an evaluation, identify where a customer request entered the workflow, when automation responded, when a person intervened and how the case ended. A conversation made entirely of templated responses is different from a difficult escalation with new reasoning. Describe that composition explicitly. If internal notes are absent, the visible transcript may show the answer without explaining the handoff that produced it. Treat this as a content limitation. Do not reconstruct missing decisions from an AI-generated summary or assume that a summary is a verbatim account. ## Choose a defensible evaluation scope This is our suggested scoping framework, not a statement that a buyer accepts every record below. Review contractual rights and the intended use before preparing a sample. Technical access to a record does not establish permission to license it. | Record or context | What to evaluate | Boundary to keep | | --- | --- | --- | | Reporting attributes | Coverage, channels and response metrics | Keep separate from claims about full message content | | Conversation transcripts | Question, response and chronological outcome | Remove identifiers and restricted customer content | | Internal notes or summaries | Whether the evaluation needs this additional context | Review scope and label summaries as summaries | ## Check the buyer’s intended evaluation unit Ask whether the buyer wants a full conversation, an escalation segment or a question-and-answer pair. These units need different selection rules. Cutting a thread immediately before an escalation can make an unsuccessful response look final. Prepare a schema that identifies human and automated participation when that distinction is available and permitted. Explain missing notes, attachments and off-platform follow-ups. A small, transparent sample gives a clearer basis for discussion than a broad export with unexplained omissions. Illustrative scenario · fictional company ## Intercom: a fictional scoping example A fictional software company evaluates Intercom onboarding conversations. It first produces a reporting CSV and realizes it cannot show the actual questions. The team prepares a permitted transcript sample instead, excluding billing identities and customer-uploaded files. Human escalations and automated responses are identified. Where a resolution occurred by email outside Intercom, the sample says that the outcome is unavailable rather than claiming the conversation was successfully resolved. ## When to pause or narrow the scope Client work and customer files are excluded from this starting scope. Assess company-owned internal records separately from personnel, health, privileged or NDA-restricted material. - Customer obligations do not permit the proposed use. - The available content is mostly repetitive automated replies. - The useful reasoning lives in notes or external systems that cannot be included. ## Your preparation checklist 1. Distinguish reporting metrics from actual conversation text. 2. Confirm the accessible history and export permissions. 3. Identify automated and human participation where available. 4. Review customer uploads, internal notes and summaries separately. 5. Document missing context and agree on evaluation retention. Start with a description of the records. The quote form does not ask you to upload a dataset. [Discuss your data](https://quotemydata.com/quote) ## Sources and further reading 1. [Intercom: export conversation data](https://www.intercom.com/help/en/articles/2046229-export-your-conversations-data) · Checked October 26, 2026 This is general information, not legal advice or confirmation that a buyer will accept your records. Published buyer ranges describe their programs, not an offer for your dataset. Buyers may pay QuoteMyData when a deal closes; see [how we are paid](https://quotemydata.com/disclosure). ## Questions about Intercom Still unsure? [Get a free quote](https://quotemydata.com/quote) ### Can we send the Intercom reporting CSV as training data? It may be useful for inventory or analysis, but it does not establish that conversation bodies are included. Match the package to the buyer’s stated use. ### Are AI-generated conversation summaries equivalent to the source? No. Label them as summaries and do not substitute them for missing messages or verified outcomes. ### Should every closed conversation be called resolved? Use the evidence in the thread. Administrative closure can differ from a confirmed customer outcome. ## Continue your assessment Data type ### [Support tickets](https://quotemydata.com/data/support-tickets) Problems, diagnoses and resolutions at scale. Guide ### [Client exclusions](https://quotemydata.com/guides/excluding-client-data-from-licensing) Separate company-owned operations from client files, shared channels and confidential attachments before evaluating a data license. Guide ### [Evaluation samples](https://quotemydata.com/guides/preparing-a-data-evaluation-sample) Design a small, representative and permitted sample for a data-licensing review. Define purpose, exclusions, limitations and handling first. Tool guide ### [Freshdesk](https://quotemydata.com/stack/freshdesk) Prepare a Freshdesk licensing assessment with verified historical coverage, conversation context, customer exclusions and a reproducible sample. Seller resource ### [Sell your company data](https://quotemydata.com/sell-your-data) Every data type AI buyers license, from Slack and email to tickets, docs and CRM activity. Seller resource ### [How it works](https://quotemydata.com/how-it-works) From the first question to a signed data license: scoping, buyer matching, competing offers and approval. ## Explore what your company’s data could be worth. Describe your systems and history to see a planning estimate. Request a buyer-fit assessment when you are ready. Free for your company, with no obligation. [Estimate my data’s value](https://quotemydata.com/quote)