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Personalize LinkedIn messages and emails using prospect’s recent thought leadership

Personalize LinkedIn messages and emails using prospect’s recent thought leadership

Write personalized emails referencing your prospect's past blog posts, interviews, podcasts, or thought leadership, and watch reply rates skyrocket.

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Before we begin

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Standing out in your prospect’s inbox requires timing, relevance, and personalization. 

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But how do you scale and automate all three without sounding like an AI-powered robot? By balancing research, signal, and prompt engineering. 

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Good news: this Claybook uses Claygent, Clay's AI research assistant, to find relevant topics most interesting to your prospects, and Anthropic (natively integrated with Clay) to write eloquent messaging that references those topics. 


The result? Timing, relevance, personalization—at scale. 

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What you can do with this Claybook: 

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  1. Find and scrape blogs, articles, interviews, podcasts, or any element of thought leadership from your prospects
  2. Generate personalized emails and LinkedIn messages that references this data
  3. Include AI snippets of former college traditions for even greater personalization
Information
Follow the step by steps here in Clay
Download the free template
1

First, copy this template in Clay.

If you’re already a user, you’ll be directed to your workspace. If not, you’ll be prompted to create a free Clay account.

The interactive demos on the right will walk you through each step of this Claybook. 

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Step 2:

Customize prompts and formulas 

This table includes Claygent research prompts, Anthropic LLM prompts, and two formulas. 

You likely won’t need to edit the Claygent and Anthropic prompts, though you can. But you will need to customize the two formulas in the last two columns (LinkedIn message and Final email formulas) since they specifically reference Clay. 

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Step 3:

Run the Claybook

Last, simply add first names, last names, emails (optional), and company names into the first four columns of the table and Clay will automate the entire process.

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