AI lead generator and personalized cold outreach
The problem
The client was paying thousands of euros a month for purchased B2B leads with a low response rate — the contacts were generic and the outreach read like mass spam.
Our approach
We built a custom Python pipeline that scrapes publicly available data about target companies, uses an LLM to enrich it with context (what the company does, what problem it likely has), and generates a personalized first message for each contact individually. Data is stored and managed in Airtable, where the sales team works directly from the outreach queue.
The result
The company stopped paying for purchased leads, and the cold-outreach response rate rose significantly thanks to personalization. The value of the replaced lead spend plus the uplift in conversions is roughly €9,000 a month.
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