Customer success records: onboarding, QBR transcripts and renewals

Summary

Seven years of customer success work at one vertical SaaS company: CSM email, onboarding and quarterly business review call transcripts, health scores, success plans and renewal outcomes for about 2,900 business accounts. Each account carries a timeline, so a model can see the warning signs months before a churn or an expansion. Customer and contact identities are replaced with consistent placeholders, call audio is dropped and contract values are removed.

Collected to order. We collect it from US companies for your order. Scope, volume and timing are confirmed in writing before you sign.

Pricing on request

Request scope and pricing

At a glance

  • Planned scope. Volume, sources and timing are confirmed in writing before you sign.
Records
3.3Memails, call transcripts and success records
Size
10 GB
Tokens, estimated
1.1B
Years
2019 to 2026
Firms
1
Owner profile
US vertical SaaS company selling property operations software to commercial landlords and managers, 150 to 300 staff
Industry
Software
Data type
Sales and CRM
Headcount
150 to 300 staff
Region
United States
Languages
English
Formats
JSONL, Parquet
Updated

Sources

SystemKindRecords
Google Workspace mailEmail2.84M emails
Zoom transcriptsCall transcripts38,600 call transcripts
GainsightCRM412K health scores, CTAs and success plan tasks
HubSpot record exportsCRM2,910 accounts with renewal history

Good for

  • predicting churn and expansion from account timelines months before renewal
  • training CSM agents to prepare QBR briefs from email, calls and health data
  • evaluating meeting summaries and action items against the CSM's own follow-up
  • learning onboarding playbooks that get a new account to first value

Fields

FieldTypeDescription
event_idstringDe-identified event id
account_codestringDe-identified customer account
segmentenumSMB, mid-market or enterprise
event_typeenumemail, call transcript, health change, CTA or renewal
occurred_attimestampWhen the event happened
csmstringDe-identified CSM
health_scoreintAccount health from 0 to 100 at the time of the event
textstringEmail body, transcript or note text
renewal_outcomeenumrenewed, expanded, contracted, churned or pending

Example record

{
  "event_id": "CS-0061177",
  "account_code": "[ACCOUNT_1408]",
  "segment": "mid-market",
  "event_type": "call transcript",
  "occurred_at": "2024-09-12T15:00:00Z",
  "csm": "[PERSON_19]",
  "health_score": 54,
  "text": "[PERSON_19]: Work order volume is down about a third since June. What changed? [PERSON_77]: We lost two buildings in [CITY_4] and the new site leads still log requests by email. [PERSON_19]: Let's get the three site leads on a 30-minute session next week and turn on the email-to-work-order inbox so nothing gets missed.",
  "renewal_outcome": "renewed"
}
One record, de-identified. Placeholders such as [PERSON_12] and [COMPANY_4] stay the same across the whole dataset, so threads still read correctly.

Licenses available

  • Exclusive

    One buyer. Nobody else can license it during the exclusive term, usually 2 years.

  • Non-exclusive

    Licensed to more than one buyer.

  • First look

    One buyer gets 2 to 4 weeks to make an offer before anyone else sees the dataset.

What ships with it

  • Datasheet: what it is, what it is good for, verified size, sources, years, format and limits.
  • Provenance file: the owner shown by code, staff notice and consent status, exclusions, mapped to the EU AI Act Article 53 training-data summary and California AB 2013.
  • Manifest with a hash for every file.
  • QC report and de-identification report.
  • Your own copy, with unique canary records.

How it is de-identified

Default exclusions removed, files flattened to text, identifiers found in three layers and replaced with consistent placeholders, and the result measured against a 99% bar for each identifier type in each source.

The full method

Request scope and pricing

We confirm scope, volume and timing in writing before you sign. Samples go out under evaluation terms after a short buyer check, once the first records are in.

Dataset: NK-16714

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