Growth

Watch: What Worked and What Didn't When Generating Leads With AI

In this short, Joshua Albanese, founder of Spearleaf, walks through how his use of AI for lead generation changed over the last year: generic AI-written blogs, then personalized prospect emails, then using AI to analyze the customer data businesses already keep in spreadsheets and building content from their top converting sales. Putting that existing data to work is the idea behind customer reactivation.

Read the full guide: How to Get More Customers: Every Channel Ranked →

Video Transcript

So I spent the last year generating thousands of leads with AI. Here's everything I did before getting there.

At first, I dabbled in all the new AI search with no strategy in mind. Then we started using AI to write blogs and content, but that content was generic and wasn't getting any leads.

Then we used AI to research prospects and send them personalized emails. But it took forever to lock in a system and start generating leads.

And that's when I realized that most business owners have thousands of potential customers just wasting away in spreadsheets. So we used AI to analyze that data and give us insights like these.

But when we started building content using the top converting sales data, we got results like this, this, and this, all without spending a dollar on ads. Do you want the same results? Follow along for more tips.

Read the full guide on how to get more customers →

Joshua Albanese

Founder of Spearleaf. He has built six businesses from zero with organic marketing and $0 ad spend, and now helps owners become the business Google and AI recommend. More about Joshua

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