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3.4 Automating Prospecting -- From Website Research to Outreach

Automating Prospecting: From Website to Outreach

Lesson 3.4 — The complete prospecting pipeline in 2 minutes

Let us walk through the most powerful workflow in the CRM Toolkit — automated prospecting. What used to take 30 minutes of manual work now takes 2 minutes with a single command.

The Manual Process (Before)

1

Visit the Company Website

Open the browser, navigate to the prospect's site, read through pages to understand their business.

2

Take Notes

Write down what the company does, their size, location, tech stack, and any pain points you notice.

3

Search Your CRM

Check Odoo for existing contacts or companies that might match. Handle duplicates if found.

4

Create Records

Manually create the company, contact, and opportunity in Odoo. Fill in all fields.

5

Draft an Email

Write a personalized email referencing what you learned. Tailor the pitch to their specific needs.

30
Minutes manual
2
Minutes automated
15x
Faster

The Automated Process (After)

One Command
/create-lead https://example-company.com

That is it. One command. Claude handles everything else:

Visits and analyzes the company website
Extracts key business information and pain points
Checks Odoo CRM for existing contacts
Creates company, contact, and opportunity records
Generates a personalized outreach email
All in under 2 minutes

What Makes the Email Special

The email is not a generic template. Claude references specific details from the website research — the prospect's industry, recent news, their specific challenges — making the outreach genuinely personalized.

Human Review Still Matters

Always review the generated email before sending. Claude drafts it, you approve it. This keeps the human in the loop for quality control while still saving 90% of the work.

Key Takeaway

Automated prospecting compresses 30 minutes of manual work into a 2-minute workflow. The plugin handles research, CRM entry, and email drafting — letting you focus on the conversation, not the data entry.

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