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Source TAM

Source TAM

Build a complete, verified list of every company that fits your ideal customer profile.

Build a complete, verified list of every company that fits your ideal customer profile.

of qualified accounts in your TAM are typically missing from existing CRM and list provider data.

of qualified accounts in your TAM are typically missing from existing CRM and list provider data.

THE brıef

Most revenue teams work from an incomplete picture of their addressable market. They know the accounts in their CRM and a list from Apollo or ZoomInfo — but those lists miss 20–40% of qualified accounts, have data that's 12–18 months out of date, and don't reflect the current state of each company's tech stack, funding, or headcount. The agent builds a complete TAM from scratch, verified across multiple sources, enriched with live signals, and ready to drive territory planning, ABM, and outreach prioritization.

Discovers every company that matches your ICP across all sources

The agent queries 150+ data providers in waterfall sequence to identify companies matching your ICP criteria: vertical, company size, revenue band, geography, tech stack, funding stage, and headcount growth rate. Each provider has unique coverage — Apollo finds companies others miss, Clearbit covers newer companies better than legacy databases, LinkedIn company data captures recent changes faster than firmographic DBs. The waterfall approach means a company isn't missed just because one data provider doesn't have it.

TAM build complete: 4,847 companies matching ICP. Sources: Apollo (2,100), ZoomInfo (1,400 new), Clearbit (900 new), LinkedIn (447 new). 18% previously unknown to CRM.

Discovers every company that matches your ICP across all sources

The agent queries 150+ data providers in waterfall sequence to identify companies matching your ICP criteria: vertical, company size, revenue band, geography, tech stack, funding stage, and headcount growth rate. Each provider has unique coverage — Apollo finds companies others miss, Clearbit covers newer companies better than legacy databases, LinkedIn company data captures recent changes faster than firmographic DBs. The waterfall approach means a company isn't missed just because one data provider doesn't have it.

TAM build complete: 4,847 companies matching ICP. Sources: Apollo (2,100), ZoomInfo (1,400 new), Clearbit (900 new), LinkedIn (447 new). 18% previously unknown to CRM.

Enriches every account with verified, multi-source firmographic data

A raw company list isn't a TAM — it's a spreadsheet. The agent enriches every identified account with verified data from multiple sources: revenue band, employee count, industry classification, known tech stack, funding history, and growth rate. Data conflicts between sources are resolved by confidence scoring — the most recently verified, most-source-confirmed value wins. The result is a single unified account record per company with the enrichment quality and recency information visible, so you know which fields to trust.

Ridge Systems: revenue $12–18M (verified: ZoomInfo + Bombora), employees 180 (confidence: high), stack: Salesforce + HubSpot + Outreach, funding: Series B (14 months ago), headcount growth: +18% YTD.

Enriches every account with verified, multi-source firmographic data

A raw company list isn't a TAM — it's a spreadsheet. The agent enriches every identified account with verified data from multiple sources: revenue band, employee count, industry classification, known tech stack, funding history, and growth rate. Data conflicts between sources are resolved by confidence scoring — the most recently verified, most-source-confirmed value wins. The result is a single unified account record per company with the enrichment quality and recency information visible, so you know which fields to trust.

Ridge Systems: revenue $12–18M (verified: ZoomInfo + Bombora), employees 180 (confidence: high), stack: Salesforce + HubSpot + Outreach, funding: Series B (14 months ago), headcount growth: +18% YTD.

Segments the TAM by ICP tier and prioritization criteria

A raw list of 5,000 companies isn't actionable. The agent segments the TAM into tiers based on ICP fit criteria you define: Tier 1 (best-fit, highest-priority outreach), Tier 2 (good fit, secondary motion), Tier 3 (longer-term, lower-priority). Segmentation criteria can include any combination of firmographic, technographic, and signal-based attributes — including accounts that are already showing intent signals or hiring surges. The tier model is recalculated as new enrichment data arrives, so accounts can graduate or drop based on current signals.

TAM segmentation: 312 Tier 1 accounts (Salesforce + HubSpot stack, 100–500 employees, growing), 1,847 Tier 2, 2,688 Tier 3. 45 Tier 1 accounts currently showing intent signals.

Segments the TAM by ICP tier and prioritization criteria

A raw list of 5,000 companies isn't actionable. The agent segments the TAM into tiers based on ICP fit criteria you define: Tier 1 (best-fit, highest-priority outreach), Tier 2 (good fit, secondary motion), Tier 3 (longer-term, lower-priority). Segmentation criteria can include any combination of firmographic, technographic, and signal-based attributes — including accounts that are already showing intent signals or hiring surges. The tier model is recalculated as new enrichment data arrives, so accounts can graduate or drop based on current signals.

TAM segmentation: 312 Tier 1 accounts (Salesforce + HubSpot stack, 100–500 employees, growing), 1,847 Tier 2, 2,688 Tier 3. 45 Tier 1 accounts currently showing intent signals.

Syncs the TAM to your CRM and keeps it current

A TAM that lives in a spreadsheet is a static artifact that becomes outdated immediately. The agent syncs the TAM to your CRM as account records, maintaining ownership, tier, and enrichment data. New companies that match ICP criteria are added automatically as they're discovered. Companies that no longer match (acquisition, pivot, shutdown) are flagged for review. The TAM is a live, maintained dataset — not a quarterly exercise that's outdated the day it's exported.

CRM sync: 4,847 accounts active. 23 new accounts added this week (ICP match confirmed). 4 accounts flagged: 2 acquired, 1 shutdown, 1 ICP criteria drift. Tier 1 list: 312 accounts, fully enriched.

Syncs the TAM to your CRM and keeps it current

A TAM that lives in a spreadsheet is a static artifact that becomes outdated immediately. The agent syncs the TAM to your CRM as account records, maintaining ownership, tier, and enrichment data. New companies that match ICP criteria are added automatically as they're discovered. Companies that no longer match (acquisition, pivot, shutdown) are flagged for review. The TAM is a live, maintained dataset — not a quarterly exercise that's outdated the day it's exported.

CRM sync: 4,847 accounts active. 23 new accounts added this week (ICP match confirmed). 4 accounts flagged: 2 acquired, 1 shutdown, 1 ICP criteria drift. Tier 1 list: 312 accounts, fully enriched.

Today vs. with

Today vs. with

Source TAM

Source TAM

Today

TAM is defined by what's in the CRM and one or two list providers — missing 20–40% of qualified accounts.

Firmographic data is 12–18 months stale by the time it's used for territory planning or ABM campaign setup.

TAM is a quarterly spreadsheet export — outdated the day after it's pulled, and requiring manual cleanup before any outreach.

With ABM Strategist

150+ providers are queried in waterfall sequence to build a complete, verified TAM with minimal overlap and no gaps.

Every account in the TAM is enriched from recently verified sources, with data recency and confidence visible at the field level.

The TAM is a live, CRM-synced dataset maintained continuously — new matches added, dormant accounts flagged automatically.

Three layers, one platform by Lantern

Three layers, one platform by Lantern

Every agent runs on three layers: a unified data model, 150+ enrichment providers, and an open-source engine where every decision is auditable.

Every agent runs on three layers: a unified data model, 150+ enrichment providers, and an open-source engine where every decision is auditable.

Data Waterfall

150+ enrichment providers. Sequential routing optimized per segment. The best answer wins. No vendor lock-in.

Agent Engine

Open-source execution engine. Workflows defined in code. Human-in-the-loop checkpoints. Full audit trail on every action.

Revenue Ontology

Every data source normalized into one model. Entity resolution across systems. Relationships stored, not inferred. Schema that evolves with your business.

FAQ

FAQ

How is this different from just buying a list from Apollo or ZoomInfo?

How long does it take to build an initial TAM?

What happens to accounts that don't match our ICP anymore — acquisitions, pivots, etc.?

Can we start with our existing CRM data and fill in the gaps?

You can't prioritize a market you can't fully see. Start with the complete picture.

You can't prioritize a market you can't fully see. Start with the complete picture.

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USE CASES

Revenue Team

Marketing Team

Customer Success

PRICING

Pricing

RESOURCES

Blog

About Lantern

Status

Support

© LANTERN 2025

Terms

Privacy

Linkedin

USE CASES

Revenue Team

Marketing Team

Customer Success

PRICING

Pricing

RESOURCES

Blog

About Lantern

Status

Support

© LANTERN 2025

Terms

Privacy

Linkedin