By use case

Build your TAM with B2B data

Create target account lists using company filters, job signals, enrichment, and decision-maker discovery from one API infrastructure.

WORKFLOWBUILD TAM
LIVEBLITZ API · V2

Trusted by the best GTM teams

Create target account lists from better data

Build a TAM that your sales and growth teams can actually use: filtered, enriched, prioritized, and ready for CRM or outbound workflows.

Identify companies that match your ICP.
Add job and growth signals to your TAM.
Prioritize accounts before outreach.
ICP FILTERSLIVE
BLITZ API · V2

The playbook behind dynamic TAMs

  1. Define the market

    Start from your ICP and search companies by industry, size, location, keywords, website data, or business category.

  2. Add market movement

    Use job postings and hiring activity to spot accounts that are expanding teams, entering new regions, or investing in specific functions.

  3. Complete the accounts

    Enrich every company with structured profile data, website, industry, size, location, description, and context for qualification.

  4. Prioritize what sales should work

    Score and segment the market, then identify the best decision makers inside the accounts your team should contact first.

GTM LOOP · LIVE

Build a TAM your team can actually use

A static company list is not enough. BlitzAPI helps you create a target account market using company data, hiring signals, enrichment, and decision-maker discovery, so your team can focus on the accounts most likely to matter.

BUILD TAM

A market is not a static list, and the same endpoints rebuild it whenever your criteria move.

API Docs
MONTH 1NOW

Frequently asked questions

What data can I build a TAM from?

BlitzAPI's data layer covers 65M+ companies, 550M+ professional profiles, and 100M+ job postings. You filter companies by industry, size, location, keywords, and business category, then layer hiring signals and decision-maker discovery on top of the accounts that match.

How is a dynamic TAM different from a static list?

A static list decays the day you export it. A dynamic TAM is rebuilt from live queries: company filters, job postings tracked by company and month, and enrichment that refreshes account context, so the market your team works always reflects current data.

How do I integrate this playbook into my stack?

Every step is a REST API call returning structured JSON, so you can orchestrate the whole flow from your own code or from automation platforms like Clay, n8n, or Make. The API reference documents every parameter and response.

Can I try building a TAM before choosing a plan?

Yes. Create an account and start with 1,000 free credits, enough to run your first company searches, test job signals on real accounts, and preview decision-maker discovery before committing.

Data shouldn't be
the problem

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