Case study
$12,500 in the first month, in each of two businesses
Two businesses were buying lists and sending the same message to all of them. The rebuilt system fills in missing addresses, then writes one opening line per prospect that references something actually true about that person, and rejects any line that reads like a template.
- Result
- $12,500 each
- Also
- In the first month
- Client
- Two independent businesses
- Year
- 2026
The problem
Cold lists arrive dirty and generic. Merge-field personalisation is transparent to the reader, so volume was being spent on messages that were never going to be answered.
What we built
- Missing addresses tracked down before anything else runs, so fewer rows get thrown away.
- Fifteen workers in parallel, because the slow part is the model call and not the logic.
- A first line per prospect, based on something actually true about them rather than a merge field.
- Automatic rejection of lines that read like a template, before a human ever sees them.
The result
- $12,500 of new revenue in each business, in the first month of working with us.
- A repeatable pipeline rather than a one-off campaign.
PythonClaudeInstantly
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