Build Your Best Outbound List with TAM Agent

Use the TAM Agent to find best-fit, highest-intent companies, build buying committees with AI, and push them straight to HubSpot and LinkedIn Ads.

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The Problem

Your inbound agent only works on people who already know you exist. But the biggest untapped pipeline is companies that should know about you and don’t. Building those lists manually means hours in spreadsheets, cross-referencing CRM data, pulling intent signals from five different tools, and still guessing which contacts to target. By the time you’ve built the list, the buying window has moved.

The Play

The TAM Agent automates the entire outbound list-building workflow: find best-fit companies, qualify them with AI, identify the buying committee, and push everything to HubSpot and LinkedIn Ads.

1. Import your target companies

Three sources feed your TAM: your CRM (we read every field you have), website visitors, and CSV imports by domain. Example: export every company running a competitor’s script tag from a tool like PublicWWW, paste the domains, and import them in seconds.

2. Score intent with ML

Every company gets an intent score powered by machine learning. It factors in sessions in the last 7 days, unique visitors in the last 30 days, session quality rate (filtering out bots), and visitor velocity. More buying committee members visiting in a short window = buy mode. The score is nonlinear and transparent — you can see exactly what’s driving it.

3. Qualify with AI-powered ICP tiering

Hit the ICP Tier easy button and the system generates a prompt to classify every company as Tier 1, Tier 2, Tier 3, or Non-ICP. You can test it against any company and see the reasoning. Filter out existing customers and open pipeline, then winnow down to just Tier 1 and Tier 2.

4. Find the buying committee

Another easy button: Generate Buying Committee. The agent defines buyer personas (head of marketing, demand gen leaders, SDR leaders, CRO), then for each company it checks your CRM first. Already have the contact? It labels them. Missing someone? It searches Warmly’s database of 220M+ contacts to find them. Each match gets a confidence score so you know when to tweak your prompts.

5. Push to HubSpot and LinkedIn Ads

Sync contacts to HubSpot manually or auto-push on new audience entries. Each contact gets tagged with their persona and source audience, so you can route them to the right SDR or sequence. Export as CSV for LinkedIn Ads — upload only buying committee members so every dollar targets someone who matters.

The Result

Instead of hours building lists manually, you go from a raw set of target domains to a fully qualified, buying-committee-enriched outbound list pushed to HubSpot and LinkedIn Ads. Every company is ICP-scored. Every contact is persona-classified. Your SDRs get lists they can actually work, and your ad spend only hits the people who matter.

Then the loop closes: these companies start visiting your site, your inbound agent picks them up with AI chat and retargeting, and outbound feeds inbound.

Questions?

Schedule a demo with our team to see our playbooks in action. Or, view more of our plays here.

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