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outcomes-ledger

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Shared step of the marketing playbooks (research-audience, write-outreach, work-with-creators): keeps the brand's record of the prospects or creators that were handed over. Tracks a status for each person, permanent opt-outs, re-check dates and dated lessons, which the next run reads. Loaded by those playbooks; not for direct use.

skills/marketing/outcomes-ledger/SKILL.md

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# outcomes-ledger

Every list a playbook hands over gets acted on outside GooseWorks: the human emails the prospects, messages the creators. This atom is how what happened comes back, so the next run never repeats a person who said no and gets better from what worked. It never contacts anyone and never requires outcomes: no outcomes, carry on.

## Parameters (the loading playbook sets them)

| | `entity: person` | `entity: creator` |
|---|---|---|
| Loaded by | research-audience (writes rows when a list is shown), write-outreach (updates statuses from replies and results) | work-with-creators |
| Ledger file | `research/audience/ledger.csv` | `creators/roster.csv` |
| Lessons document (file → brand document) | `research/audience/lessons/<YYYY-MM-DD>.md` → `Outreach lessons — <Brand> — <YYYY-MM-DD>` | `creators/lessons/<YYYY-MM-DD>.md` → `Creator lessons — <Brand> — <YYYY-MM-DD>` |
| Entity columns (after the required ones) | `segment, tier, value_tier, signal_type, email_status, region_flag, email, email_candidate, profile_url, root_domain, route, sequence_id, opener_id, first_touch_date, last_touch, reply_category, recontact_after` | `role, tier, deal_structure, vetting_depth, wave, wave_criterion, wave_result, quoted_rate`, then the roster's own columns |
| Status values | `listed · contacted · replied · meeting · not-a-fit · bounced · unsubscribed · do-not-contact` | `shortlisted · contacted · replied · quoted · declined · signed · posted · never-again` |
| Suppressing statuses (permanent) | `bounced · unsubscribed · do-not-contact` | `never-again` |
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