Apollo Persona Coverage Analyzer
Monthly AI analysis of your Apollo prospect lists for buying committee coverage — identifies single-threaded accounts, missing decision-maker roles, and title concentration gaps with per-account recommendations.
Monthly AI analysis of your Apollo prospect lists for buying committee coverage — identifies single-threaded accounts, missing decision-maker roles, and title concentration gaps with per-account recommendations.
Four Agents. Monthly Persona Intelligence. Zero Manual Mapping.
Step 1 — The Fetcher
Code-only
Retrieves contacts with titles, seniority, and department from configured Apollo list IDs using paginated API calls.
Step 2 — The Assembler
Code-only
Maps each contact title to a buying committee persona (champion, economic_buyer, technical_evaluator, end_user). Computes per-account coverage classification (FULL/PARTIAL/SINGLE-THREADED/EMPTY) and 4-dimension scores with per-account gap recommendations.
Step 3 — The Analyst
Classification
Performs AGGREGATE buying committee coverage analysis across 4 dimensions: per-account coverage, segment analysis, title concentration, and coverage trends. Identifies single-threaded accounts and missing decision-maker roles.
Step 4 — The Formatter
Creative
Generates a Notion persona coverage brief with dimension breakdowns, a Google Sheets gap list with per-account recommendations sorted by priority, and a Slack executive summary with health score and top actions.
What It Does NOT Do
Does not score overall list quality — use Apollo List Quality Scorer (#31) for completeness and enrichment scoring
Does not audit data freshness — use Apollo Data Freshness Auditor (#54) for email deliverability and title staleness
Does not refine your ICP — use ICP Refinement Agent (#36) for ideal customer profile analysis
Does not enrich or update contacts — this is an analysis tool, not a data enrichment pipeline
Does not provide real-time alerts — monthly batch analysis runs on the 1st of each month
Does not work with non-Apollo contact databases — this is Apollo.io-specific
The Complete Customer Success Bundle
6 files.
Tested. Measured. Documented.
Monthly 4-dimension buying committee coverage analysis with per-account gap recommendations and triple-channel delivery (Notion brief + Google Sheets gap list + Slack executive summary).
Model
Sonnet 4.6 (SINGLE-MODEL)
Nodes
28+3
Agents
4
Pattern
AGGREGATE (monthly batch)
Trigger
Schedule (monthly 1st 9:00 UTC) + Webhook
LLM Calls / Run
2 per run
Apollo Persona Coverage Analyzer v1.0.0───────────────────────────────────────────────Nodes 28 (main) + 3 (scheduler)Agents 4 (Fetcher, Assembler, Analyst, Formatter)LLM Calls 2 per run (Analyst + Formatter)Model Sonnet 4.6 (SINGLE-MODEL)Trigger Schedule (monthly 1st 9:00 UTC) + WebhookPattern AGGREGATE (monthly batch)Tool A Apollo.io (httpHeaderAuth) — contact data with titles, seniority, departmentTool B Notion (httpHeaderAuth) — persona coverage briefTool C Google Sheets (googleSheetsOAuth2Api) — gap list with per-account recommendationsTool D Slack (httpHeaderAuth) — executive summaryITP 8 variations, 14 milestonesBQS 12/12 PASSCost $0.03–$0.10 per run
What You'll Need
Platform
n8n 2.7.5+
Est. Monthly API Cost
~$0.03-0.10 per monthly run + Apollo subscription ($49+/mo).
Credentials Required
- ▪Anthropic API
- ▪Apollo.io (httpHeaderAuth, X-Api-Key)
- ▪Notion (httpHeaderAuth Bearer)
- ▪Google Sheets (googleSheetsOAuth2Api)
- ▪Slack (Bot Token, httpHeaderAuth Bearer)
Services
- ▪Apollo.io Basic plan+ with API access
- ▪Anthropic API key
- ▪Notion workspace
- ▪Google Workspace with Sheets API
- ▪Slack workspace (Bot Token with chat:write)
Setup Track
Quick Start
~15 min
All credentials live, n8n running
Full Setup
1–2 hrs
Needs API config + tables
From Scratch
2–4 hrs
No n8n, no credentials
Apollo Persona Coverage Analyzer v1.0.0
$199
one-time purchase
What you get:
- ✓28-node main workflow + 3-node scheduler
- ✓Monthly buying committee coverage analysis for every Apollo list
- ✓Configurable persona taxonomy (champion, economic_buyer, technical_evaluator, end_user)
- ✓Per-account coverage classification: FULL, PARTIAL, SINGLE-THREADED, EMPTY
- ✓4-dimension scoring: per-account coverage, segment analysis, title concentration, coverage trend
- ✓Per-account gap recommendations with missing role identification
- ✓Notion persona coverage brief with dimension breakdowns
- ✓Google Sheets gap list sorted by priority with actionable recommendations
- ✓Slack executive summary with health score and top actions
- ✓Configurable buying committee roles, minimum roles threshold, and list IDs
- ✓Full technical documentation + system prompts
Frequently Asked Questions
What buying committee roles does it track?+
Four configurable roles by default: champion (internal advocate — Directors, VPs), economic_buyer (budget authority — CFO, CEO, CRO), technical_evaluator (technical decision maker — CTO, VP Engineering, IT Director), and end_user (daily user — Managers, Specialists, Coordinators). You can customize the role taxonomy and title keyword mappings in the scheduler Build Payload node.
How does coverage classification work?+
Each account is classified based on the number of unique buying committee roles present: FULL (>= MIN_ROLES_FOR_FULL unique roles, default 3), PARTIAL (2+ roles but below threshold), SINGLE-THREADED (exactly 1 contact), EMPTY (0 contacts). Single-threaded accounts are flagged as high-risk — a single point of failure in your deal.
What are the 4 coverage dimensions?+
Per-account coverage (role presence and missing roles per account), segment analysis (coverage patterns by industry and company size), title concentration (over-reliance on specific roles measured via diversity index), and coverage trend (month-over-month changes when historical data is available). Each dimension is scored 0-100.
How does it differ from Apollo List Quality Scorer?+
ALQS (#31) scores overall list quality — completeness, enrichment coverage, and data patterns. Apollo Data Freshness Auditor (#54) audits data staleness and email deliverability. ICP Refinement Agent (#36) refines your ideal customer profile. This product uniquely maps contacts to buying committee personas and identifies coverage gaps at the account level.
Can I customize the persona mapping?+
Yes. The BUYING_COMMITTEE parameter accepts a JSON object mapping role names to title keywords and seniority levels. You can add roles (e.g., "legal_reviewer"), remove roles, or adjust title keywords to match your sales process. The MIN_ROLES_FOR_FULL parameter controls how many roles are needed for FULL classification.
Does it use web scraping?+
No. All data comes from the Apollo.io API (contact search endpoint with list filtering). No web scraping, no page parsing.
Is there a refund policy?+
All sales are final after download. Review the Blueprint Dependency Matrix and prerequisites before purchase. Questions? Contact support@forgeworkflows.com before buying. Full terms at forgeworkflows.com/legal.
Related Blueprints
Apollo List Quality Scorer
Score and clean prospect lists before you sequence them.
Apollo Data Freshness Auditor
Monthly AI audit of your Apollo enrichment data — scores email deliverability risk, title staleness, coverage gaps, and prioritizes re-enrichment weighted by Pipedrive deal value.
ICP Refinement Agent
Turn closed-won deal patterns into a living ICP that evolves with your market.