The Pre-Call Research Packs Playbook

The Pre-Call Research Packs Playbook is an automated briefing system that puts a full prospect dossier in the seller's hands 1 hour before every sales call. The best calls start with the seller knowing more about the prospect than the prospect knew was possible; the worst start with "so, tell me about your business." The difference is 30-60 minutes of research per call, and this play compresses it to 30 seconds.

Why are research packs the highest-leverage automation in sales?

A seller walking into a call armed with the prospect's recent LinkedIn activity, their company's news, their team's hiring patterns, their tech stack, the original outreach sequence they replied to, and the 3 most likely objections sells far more than one walking in cold.

Most sellers do not have 30-60 minutes to do that research before every call, so it simply does not happen. AI does in 30 seconds what used to take an hour. Multiply that across every call your team takes per week and the compound advantage is enormous.

What goes in a pre-call research pack?

Every pack has four sections, each answering one question the seller needs before the call starts:

Section	Question it answers	What it contains
The prospect	Who am I talking to?	Role, seniority, tenure, prior companies, 30-day LinkedIn activity, public statements
The company	What is happening in their world?	Funding, revenue indicators, growth, tech stack, launches, leadership changes, hiring
The relationship	How did we get here?	Outreach signal, full message history, prior CRM history, other contacts in pipeline
The strategy	How do I win this call?	Top 3 likely objections, 2-3 proof points, recommended call goal and next steps

1. The prospect

• Role, seniority, tenure, prior companies
• LinkedIn activity in the last 30 days (posts, comments, engagement)
• Notable career moves, public statements, podcast appearances

2. The company

• Recent funding, revenue indicators, employee growth
• Tech stack and known tools (from TheirStack or Sumble)
• Recent product launches, leadership changes, news
• Active hiring, especially in roles relevant to your offer

3. The relationship

• Original outreach signal (what triggered the campaign)
• Full message history (what they received, what they replied to)
• Any prior CRM history (past calls, churned trial, lost deal)
• Other contacts at the same account in your pipeline

4. The strategy

• Top 3 likely objections based on persona plus recent context
• 2-3 relevant case studies or proof points to cite
• Recommended call goal and next-step suggestions

How is the pack delivered?

The research pack lands in the seller's calendar invite as a single Notion page or PDF, automatically generated 1 hour before the call. They open it on their commute, scan it in 60 seconds, and walk in fully briefed. No portal to log into, no doc to hunt for.

What tools do you need to run this play?

Claude (via API or Cowork) as the orchestration layer. Perplexity or Gemini for real-time research. LinkedIn data via Sales Navigator and Findymail. CRM integrations (Close, HubSpot, Attio) for relationship history. Notion for delivery. n8n for the workflow.

What should you watch for?

• Pack length matters. 1 page max. Sellers will not read 5.
• Cite sources where possible so sellers can verify claims live on the call.
• Refresh the pack 1 hour before the call, not 24 hours before. Signals go stale fast.

FAQ

What goes in a pre-call research pack?

Four sections: the prospect (role, tenure, LinkedIn activity), the company (funding, tech stack, hiring, news), the relationship (outreach signal, message history, CRM history, other pipeline contacts), and the strategy (top 3 likely objections, 2-3 proof points, recommended call goal).

How long should a pre-call research pack be?

1 page max. Sellers will not read 5 pages. The pack should scan in 60 seconds and still cover the prospect, the company, the relationship history, and the recommended strategy for the call.

When should the research pack be generated?

1 hour before the call, not 24 hours before. Signals like LinkedIn activity, news, and hiring go stale fast, so the pack is generated fresh and attached to the seller's calendar invite as a Notion page or PDF.

How much time does automated pre-call research save?

Manual research that wins deals takes 30-60 minutes per call, which most sellers do not have. AI does the same work in 30 seconds. Multiplied across every call your team takes per week, the compound advantage is enormous.

What tools do you need to build pre-call research packs?

Claude as the orchestration layer, Perplexity or Gemini for real-time research, Sales Navigator and Findymail for LinkedIn data, TheirStack or Sumble for tech stack, your CRM (Close, HubSpot or Attio) for history, Notion for delivery, and n8n for the workflow.