CCP — Customer/Client Context Profile

Walk into the meeting knowing what they said on the last earnings call, who they just hired, and what to lead with.

Account research · Executive meeting prep

Earnings-call quotes, recent hires, M&A — and three talk tracks

5
Quotes from filings
3
Talk tracks per brief
SectionSourceWhy the AE cares
Earnings voice10-Q · MD&AQuotes the exec actually said
Recent hirescontact_searchWhere their org is growing
M&A8-K · web_searchWhat's distracting them
Opening talk track
"You mentioned on the Q4 call that you're rationalizing your data estate after the [M&A]. How is your CIO org thinking about the integration timeline?"

Overview

Executive-meeting prep brief: what an exec at the target account said on the last earnings call, who they recently hired, what M&A signals are in flight, and the talk tracks tuned to each.

Use cases

  • Walk in mapped — not winging it

    Friday meeting with the CIO of a Fortune 500 account. Tuesday morning your AE runs CCP. Wednesday they have five quotes the CIO has said on the record, three hires the CIO just made, two M&A deals in flight, and three talk tracks tied to each. Friday the CIO realizes after 10 seconds this AE prepared. Conversion rates from CIO meetings to second meetings change.

  • Exec brief that survives the AE's manager re-reading it

    Every quote cites the SEC filing type + section. Every hire is named with start date and LinkedIn. Every M&A signal references an 8-K. When the AE's manager reviews the brief before the meeting, they don't push back on accuracy — they push on which talk track to lead with.

View workflow prompt
# CCP — Customer/Client Context Profile

## Parameters

- `{{domain}}` *(required)* — Target account domain HG Insights uses for lookup. Example: `fedex.com`
- `{{executive_title}}` *(required)* — Title of the executive you are meeting. Example: `CIO`
- `{{executive_name}}` *(optional)* — Name of the executive when known. Example: `Robert Carter`

## Purpose
Produce a pre-meeting brief for the {{executive_title}} at {{domain}} (named {{executive_name}} when provided). The AE walks in knowing the exec's last public commentary, their recent hiring + M&A patterns, and three talk tracks tied to those signals.

## Process
1. **Account anchor** — `company_firmographic` and `company_research` for {{domain}}: HQ, employees, revenue, fiscal-year end. Sets the scaffold for what filings matter.
2. **Earnings-call extracts** — `sec_filing_section` for the most recent 10-K, 10-Q, and 8-K (or proxy DEF 14A when relevant). Pull 5 verbatim quotes from the {{executive_title}} or about their function. Filing-type + section is cited per quote.
3. **Recent hires in the exec's department** — `contact_search` for senior hires tagged to the {{executive_title}}'s function in the last 12 months. Surface 3 with title + start date + LinkedIn.
4. **M&A signals** — `web_search` for M&A activity in the last 18 months + cross-reference with `sec_filing_section` 8-K filings. Surface 2 deals + verbatim deal-language from filings.
5. **Talk tracks** — close with 3 talk tracks, each tied to one of the signals above. Each track is one paragraph: the signal, the question to ask, the angle to lead with.

## Output Format
Markdown with:
- `# CCP — {{domain}} × {{executive_title}}`
- `## Section 1 — Account Anchor` (table)
- `## Section 2 — Earnings-Call Voice` (5 quotes with filing type + section)
- `## Section 3 — Recent Hires` (3 named rows)
- `## Section 4 — M&A Signals` (2 deals with 10-K/8-K language)
- `## Section 5 — Talk Tracks` (3 paragraphs)

## Quality Checklist
- Every quote cites the SEC filing type + Item / Section
- Recent hires are real, sourced from `contact_search`
- M&A signals tie to a filed 8-K when material
- Talk tracks lead with the signal, not the product