Paid Media Account List
Build the account list for an ABM paid-media campaign — firmographic-fit, in-market, and sized to your platform's match-rate reality.
Demand Gen - Paid media
An ABM media list tiered by intent — with the match-rate truth attached
210
Target accounts
Tiered + honest
Tier 1: 70 in-market (high bid).
~50-70% will match on platform.
Tier 1: 70 in-market (high bid).
~50-70% will match on platform.
| Tier | Accounts | Bid |
|---|---|---|
| 1 - In-market + fit | 70 | High |
| 2 - Fit only | 140 | Lower |
Why it lands
Most ABM lists ignore that ad platforms only match half your accounts to deliverable audiences. This tiers the list by intent so the high bids land on the 70 in-market accounts — and tells you the real reach up front.
Overview
Assemble an account-based paid-media target list (for LinkedIn/programmatic ABM) scoped by firmographic fit and category intent, sized with a realistic match-rate caveat — so the media budget concentrates on accounts that fit and are in-market.
Use cases
Concentrate media on in-market accounts
Paid ABM spend is wasted spread evenly. Tiering by intent puts the high bids on accounts actively researching the category and lower bids on fit-only accounts.
No match-rate surprises
The deliverable audience is always smaller than the account list. Stating the match-rate reality up front keeps the campaign's reach expectations honest.
View workflow prompt
# Paid Media Account List
## Parameters
- `{{target_segment}}` *(required)* — Firmographic definition of the target. Example: `US enterprise financial services, 5000+ employees`
- `{{category}}` *(required)* — Category whose intent scopes the list. Example: `fraud analytics`
- `{{budget_context}}` *(optional)* — Budget/sizing context. Example: `$60k quarterly ABM media, want ~200 accounts`
## Purpose
Build a paid-media ABM account list for {{target_segment}} accounts in-market on the {{category}}, sized for the {{budget_context}} — and be honest that ad-platform match rates mean the deliverable audience is smaller than the account count.
## Process
1. **Firmographic core** — `search_companies` + `company_firmographic` for {{target_segment}}.
2. **Intent layer** — `intent_category` + `company_intent` for the {{category}} to prioritize in-market accounts (paid media is expensive; concentrate it).
3. **Tier the list** — split into Tier 1 (in-market + perfect fit, highest bid) and Tier 2 (fit but not yet in-market, lower bid).
4. **Match-rate caveat** — state that ad platforms match 40-70% of an account list to deliverable audiences; the usable reach is below the raw count.
5. **Sizing vs. budget** — check the tiered count against {{budget_context}} and recommend where to concentrate spend.
## Output Format
Markdown with:
- `# Paid Media Account List — {{category}}`
- `## Tier 1 — In-Market + Fit` (highest-bid accounts)
- `## Tier 2 — Fit, Not Yet In-Market`
- `## Match-Rate Reality` (deliverable-audience caveat)
- `## Spend Concentration Recommendation`
- `## Citations`
## Quality Checklist
- Tiering separates in-market from fit-only via `company_intent`
- Match-rate caveat is stated explicitly (raw count != deliverable reach)
- Spend recommendation references the budget context
- Counts cite `search_companies`/`intent_category`