audience-targeting
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.
How do I install this agent skill?
npx skills add https://github.com/hubspot/agent-cli-skills --skill audience-targetingIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill provides a set of instructional guides and templates for using the HubSpot CLI to filter and segment contact data. It focuses on legitimate CRM operations like search, association traversal, and data export to JSONL files.
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No alerts
- Snykpass
Risk: LOW · No issues
What does this agent skill do?
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
--filterflag = one AND group:--filter "lifecyclestage=lead AND !hubspot_owner_id". - Multiple
--filterflags are OR'd. Use for enum-OR-enum. - Operators:
=,!=,>,>=,<,<=,~(CONTAINS_TOKEN — whole-word, NOT substring),@=(IN),@!=(NOT_IN). - HAS_PROPERTY: bare
nameorname?. NOT_HAS_PROPERTY:!name. Dates:YYYY-MM-DD. - Limits (CRM search API): max 5
--filterflags, max 6 conditions per flag, max 18 conditions total. Prefer@=/@!=for enum lists —lifecyclestage@=lead,customeris one condition,--filter "lifecyclestage=lead" --filter "lifecyclestage=customer"is two groups. - "None of these, or empty" needs two groups —
@!=skips records where the property is unset, so OR in a!namegroup and repeat the shared conditions in both:--filter "hubspot_owner_id=123 AND lifecyclestage@!=customer,evangelist" --filter "hubspot_owner_id=123 AND !lifecyclestage"
~ 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: hubspot properties options-list --type contacts <name> | jq -r '.value'. As a fallback (e.g. to see which values are actually in use), read live records: 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
# 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":"...","labels":[...],"associationTypes":[...]} — {id} feeds directly into a single batched objects get.
# 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. Page each company with --limit/--after — a company with >100
# associated contacts truncates silently on a single call.
while read -r cid; do
after=""
while :; do
page=$(hubspot associations list --from "companies:$cid" --to contacts --limit 100 ${after:+--after "$after"} --format json)
echo "$page" | jq -c '.data[]?'
after=$(echo "$page" | jq -r '.meta.next // empty')
[ -z "$after" ] && break
done
done \
< <(jq -r '.id' target_companies.jsonl) \
| jq -c '{id}' | sort -u \
| hubspot objects get --type contacts --properties email,firstname,jobtitle,hs_email_optout \
> target_contacts.jsonl
# Optional: drop opted-out
jq -c 'select(.properties.hs_email_optout != "true")' target_contacts.jsonl > campaign_audience.jsonl
Saving and reusing a segment
A segment is a JSONL file. Re-use for updates, exports, or re-fetches:
# Save
hubspot objects search --type contacts \
--filter "lifecyclestage=lead AND hs_email_optout!=true" \
--properties email,firstname,lastname,jobtitle \
> segments/opted_in_leads.jsonl
# Assign owner (dry-run first per bulk-operations/SKILL.md)
jq -c '{id, properties:{hubspot_owner_id:"12345"}}' segments/opted_in_leads.jsonl \
| hubspot objects update --type contacts --dry-run
# Re-fetch with different properties later
jq -c '{id}' segments/opted_in_leads.jsonl \
| hubspot objects get --type contacts --properties email,lifecyclestage,hs_lead_status
Destructive ops on a saved segment follow the dry-run → digest → confirm flow in bulk-operations/SKILL.md.
Save as a HubSpot list or view
A JSONL segment is portable, but you can also persist an audience in HubSpot:
- List —
hubspot segments createsaves a list;segments get/listinspect it;segments members-listreads members;segments members-add/members-removemanage membership. Usesegments update-filtersto set a dynamic list's filter criteria. - View —
hubspot views create --type <t> --name "..." --columns a,b [--filters-file filters.json] [--sort prop:asc]saves a filter set as a reusable object view;views list/get/update/replace-field/deletemanage it. - Size it first —
hubspot objects count --type contacts --filter "..."returns{"object_type":"contacts","total":N}without paging, so you can size an audience before saving or exporting it.
Related read-only signals (context for targeting)
hubspot buyer-intent— visiting-company intent signals (read-only). Requires OAuth login (hubspot auth login); service keys are NOT supported.hubspot analytics traffic sources— where sessions/contacts came from, for source-based segmentation.hubspot marketing forms list— form definitions, to segment by which form a contact converted on.
Run each command's --help for the full surface.
Known limits
~is token-match, not substring. No regex operator.- Enum options:
hubspot properties options-list --type contacts <name>(fallback: read live records viaobjects list+jq). associations listhas no batch--from, and returns one page (default 100) per call. Loop to gather IDs and page each call with--limit/--afteruntil.meta.nextis null, then batch the downstreamobjects get— otherwise a company with >100 associated contacts truncates silently.- For >100 results, use the pagination loop in
bulk-operations/SKILL.md.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/hubspot/agent-cli-skills/audience-targeting">View audience-targeting on skillZs</a>