audience-targeting

これはレビュー時に保存された抜粋です。完全で最新の内容は外部ソースを確認してください。

---
name: audience-targeting
description: Build a targeted contact segment by filtering on lifecycle, engagement, jobtitle, geography, or firmographics — then export it as JSONL for a campaign or downstream tool.
triggers:
  - "segment contacts"
  - "target audience"
  - "find prospects"
  - "build audience"
  - "contact segmentation"
  - "contacts in industry"
  - "decision makers"
  - "engaged contacts"
---

## Foundation

Read `bulk-operations/SKILL.md` first — pagination, JSONL piping, destructive-op safety. Reshape recipes in `bulk-operations/resources/json-patterns.md`. Resource: `resources/contact-segmentation-filters.md` is the filter-expression cookbook (lifecycle, lead status, email engagement, activity, deals, owner).

## Filter syntax cheat sheet

Source of truth: `hubspot objects search --help`.

- One `--filter` flag = one AND group: `--filter "lifecyclestage=lead AND !hubspot_owner_id"`.
- Multiple `--filter` flags are OR'd. Use for enum-OR-enum.
- Operators: `=`, `!=`, `>`, `>=`, `<`, `<=`, `~` (CONTAINS_TOKEN — whole-word, NOT substring).
- HAS_PROPERTY: bare `name` or `name?`. NOT_HAS_PROPERTY: `!name`. Dates: `YYYY-MM-DD`.

`~` gotcha: `jobtitle~director` matches the token "director", not arbitrary substrings. No regex operator — search broadly, post-filter with `jq`.

## Properties this skill turns on

Full live list: `hubspot properties list --type contacts`. Enum options aren't exposed by `properties get`; discover with `hubspot objects list --type contacts --properties <name> --limit 100 --format json | jq -r '.data[].properties.<name> // empty' | sort -u`.

Core fields used here: `lifecyclestage`, `hubspot_owner_id` (bare/`!` for owned/unowned; `hubspot owners list` for IDs), `hs_email_optout` (`!=true` excludes opted-out), `hs_email_last_open_date` / `notes_last_contacted` (recency), `jobtitle` / `country` / `city` (string `=` or `~`), `num_associated_deals` (0 net-new, `>=1` has-pipeline).

Firmographics (`industry`, `numberofemployees`, `annualrevenue`) live on **companies** — see cross-object section.

## Common segments

```bash
# Recent leads (this quarter, not yet owned)
hubspot objects search --type contacts \
  --filter "lifecyclestage=lead AND createdate>2026-01-01 AND !hubspot_owner_id" \
  --properties email,firstname,lastname,createdate

# Decision-makers by jobtitle (OR across tokens)
hubspot objects search --type contacts \
  --filter "jobtitle~director" --filter "jobtitle~vp" --filter "jobtitle~chief" \
  --properties email,jobtitle,company

# Engaged but not yet MQL (opened recently, still lead, opted in)
hubspot objects search --type contacts \
  --filter "lifecyclestage=lead AND hs_email_last_open_date>2026-04-01 AND hs_email_optout!=true" \
  --properties email,firstname,hs_email_last_open_date

# Geographic — US contacts opted in
hubspot objects search --type contacts \
  --filter "country=United States AND hs_email_optout!=true" \
  --properties email,state,city
```

More patterns (lead status, deals, owners, combined AND/OR) in `resources/contact-segmentation-filters.md`.

## Cross-object: companies-in-industry → their contacts

`industry`/`numberofemployees`/`annualrevenue` live on the company. Build the company set, then traverse — never `xargs -I{} hubspot objects get` per company. `associations list` emits `{"id":"...","type":"company_to_contact"}`, feeding directly into a single batched `objects get`.

```bash
# Step 1: target companies. Industry options are portal-specific — discover with:
#   hubspot objects list --type companies --properties industry --limit 100 --format json \
#   | jq -r '.data[].properties.industry // empty' | sort -u
hubspot objects search --type companies \
  --filter "industry=SOFTWARE AND numberofemployees>=100" \
  --properties name,industry,numberofemployees \
  > target_companies.jsonl

# Step 2: gather association IDs (associations list has no batch --from), then ONE batched
# objects get for all contacts.
while read -r cid; do hubspot associati