Sales call recordings linked to deal outcomes

Recorded sales conversations, from discovery calls to demos and negotiations, with transcripts and the CRM outcome of the deal they belonged to. Labs use them to train sales and negotiation agents and to study which conversations lead to closed deals.

Last updated October 3, 2026

What a record contains

One call: recording, speaker-labeled transcript, the deal stage at the time, the linked opportunity and its final outcome, with amounts banded or removed.

FieldWhat it holds
call_idPseudonymous ID
participants[]Role (rep, prospect) with pseudonymous IDs
transcript[]Speaker-labeled turns with times
opportunity_refLink to the CRM opportunity
stage_at_callDiscovery, demo, negotiation and so on
final_outcomeWon, lost or no decision
Illustrative record. The values are made up to show the shape of the data.
{
  "call_id": "S-4471",
  "stage_at_call": "discovery",
  "participants": [{"id": "rep_12", "role": "rep"}, {"id": "p_908", "role": "prospect"}],
  "opportunity_ref": "O-2207",
  "final_outcome": "won",
  "deal_size_band": "50k-100k",
  "transcript": [
    {"speaker": "p_908", "start": 61.2, "text": "Our main issue is reconciling invoices across three entities."}
  ]
}

How AI labs use it

Sales and negotiation agents
Learn from conversations with known results.
Outcome prediction
Link what was said to whether the deal closed.
Call notes and next steps
Generate summaries and follow-ups from real calls.

Typical preparation requirements

Agreed with the supplier before any work begins. Typical requirements include:

  • Recording notices and prospects’ consent respected
  • Prospect names and companies pseudonymized; deal amounts banded
  • Contact data from enrichment vendors excluded where its license forbids reuse

Every dataset has a documented owner and confirmed licensing rights. See data governance on sourcex.si.

What makes a strong package

  • Every call linked to an opportunity
  • Multi-call deal histories
  • Screen-share video for demos, where consent allows

Compared with public datasets

Public sets such as CallCenterEN and Fisher English Training Speech are useful references, but limited as enterprise training data. The calls and meetings category page compares them with licensed data.

Who typically holds it

  • B2B software companies
  • Financial services firms
  • Staffing and recruiting firms
  • Freight brokers

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Questions

Is the CRM record included?

Packages can join calls to opportunity stages and outcomes. See CRM pipelines with won/lost outcomes for the CRM side.

Is video included?

Where it was recorded and consent covers it. Packages can also be scoped to audio and transcripts only.

Need this data for a model?

Describe what you need: domain, volume, history, format and licensing terms. SourceX looks for companies that hold it and can license it.