Adding personalization to your cold calling

Hey everyone! If you're working on scaling your cold calling outreach you've probably heard the advice to lead with something specific about the prospect rather than a generic pitch, showing you've done your homework before you dial.

The problem is doing this research manually for every lead really adds up at scale. If you have time to research every prospect individually that's great, but you can also use AI to generate personalized call openers automatically across your entire lead list.

Basically you do the following:

Pull a lead record (including contact info and property/company details) from your lead list
Use a data source to pull relevant intel on the prospect. For real estate this could be recent transaction history, current listings, or company news rather than just a website scrape
Route that into an LLM, instruct it to find something relevant that matches your pitch angle, and generate a personalized call opener or talk track for that specific prospect. Write it back to your CRM.

You can use different software, but I've attached a pic of what the automation looks like in n8n, using Airtable for the CRM (with leads from Apollo), OpenAI for the LLM, and Firecrawl for scraping any available web presence. (Also have a few nodes for data transformations that are needed to implement these high level steps.)

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