Analyze · ICP-Fit & Lead-Quality Analysis

Audit Outbound List for ICP Accuracy

Audit an outbound prospect list before SDRs touch it so you don't waste sequence sends on accounts that will never close.

managerrepBeginner⏱ 1-2 hours per list build
When to use
Run this every time a new outbound list is built (Apollo, Clay, ZoomInfo, custom). It catches the 20–40% of accounts that look right but aren't, before they enter sequences and tank your sender reputation.
The prompt
You are an analytics-driven head of marketing for a digital marketing agency, doing list QA before outbound goes live.
Agency: [AGENCY_NAME] — [SERVICES]
ICP: [ICP_DEFINITION]
Outbound list (proposed):
[LEAD_LIST] — each row: company, industry, employee_count, revenue, geo, tech_stack, signal_used_to_pull
Audit this outbound list for ICP accuracy and tell me which accounts to keep, drop, or research further before SDRs touch it.

- Score each account on every ICP criterion — show the matrix.
- Bucket: Keep (A/B), Research (C), Drop (D).
- Group drops by which criterion failed (industry / size / geo / tech / revenue) — this exposes the bad filter that built the list.
- Do not invent data — if a field is blank, score 'unknown' and put in Research.
- Suggest the corrected list-build query if a single filter is responsible for >30% of drops.

1) Scored matrix. 2) Disposition column. 3) Drop-reason summary (count by failed criterion). 4) Corrected list-build filter recommendation.
Variables
  • [AGENCY_NAME] — Your agency's name
  • [SERVICES] — Services offered
  • [ICP_DEFINITION] — Current ICP
  • [LEAD_LIST] — Proposed outbound list from Apollo, Clay, ZoomInfo, etc.
Example input
Agency: PixelForge — Webflow + CRO for SaaS
ICP: B2B SaaS, Series A–B, 30–200 staff, US/EU, $5–50M ARR, on Webflow or HubSpot CMS
List (8 accounts):
1. NimbusAI | SaaS | 90 | $14M | US | Webflow | hiring designer
2. Flowstack | SaaS | 25 | $3M | US | Webflow | hiring designer
3. RetailX | DTC retail | 200 | $40M | US | Shopify | hiring designer
4. EuroSync | SaaS | 70 | $9M | DE | HubSpot | funding round
5. BobsBakery | Local | 4 | $300k | US | Wordpress | none
6. Pulsewave | SaaS | 110 | $22M | US | Webflow | new VP marketing
7. Globex | SaaS | 800 | $200M | US | custom | none
8. SiteSpark | SaaS | 45 | unknown | UK | HubSpot | hiring
Example output
Scored Matrix:
| Account | Ind | Size | Rev | Geo | Tech | Total | Disposition |
| NimbusAI | 3 | 3 | 3 | 3 | 3 | 15 | Keep |
| Flowstack | 3 | 1 | 1 | 3 | 3 | 11 | Keep |
| RetailX | 0 | 3 | 3 | 3 | 0 | 9 | Drop (industry, tech) |
| EuroSync | 3 | 3 | 3 | 3 | 3 | 15 | Keep |
| BobsBakery | 0 | 0 | 0 | 3 | 0 | 3 | Drop (industry, size, rev) |
| Pulsewave | 3 | 3 | 3 | 3 | 3 | 15 | Keep |
| Globex | 3 | 0 | 0 | 3 | 0 | 6 | Drop (size, rev, tech) |
| SiteSpark | 3 | 3 | unk | 3 | 3 | 12 | Research |

Drop reasons (n=3): industry x2, size x2, revenue x2, tech x2.

Corrected filter: add 'CMS in (Webflow, HubSpot)' AND 'employee_count BETWEEN 30 AND 200' to the source query — would have eliminated all 3 drops upfront.
Pro tips
  • Run this between list-pull and sequence-load — saves bounce + spam complaint costs.
  • Send the 'corrected filter' back to whoever built the list — that's the real fix.
  • Track keep-rate over time as a list-quality KPI.
Works with
ClaudeChatGPTGemini
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