Synthetic-persona outbound engine
Business problem
Every outbound campaign took days of manual copywriting — and still sounded generic. What actually convinces a CIO versus a CFO versus a Head of Procurement lived only in scattered sales calls. That knowledge never reached the emails prospects received, and campaign reviews showed it: generic first messages got ignored.
The solution
I took transcripts from the team's real sales conversations — pain-point calls with 7 AEs and SDRs — and synthesised them into 5 synthetic buyer personas: pains, buying triggers, objections and counters, per role, size band and industry. Not guessed from a whiteboard; drawn from what buyers actually said. New sales-call transcripts sync from Google Drive hourly and refresh the personas automatically. Upload a contact CSV and every lead is matched to a persona, enriched, and handed a unique email + LinkedIn sequence written in that persona's language (German Sie-form and English), grounded in real transcript quotes. A human review queue, a compliance blocklist and a canary test-send gate every campaign before a one-click push to Lemlist.
Business impact
Every first line opens with the recipient's role-specific pain in their own language — a CFO reads about budget predictability, a CIO about ticket volume. Per-campaign effort collapses from days to a 15-minute review, scaling the team's best hand-written outreach to 500+ contacts. The playbook compounds: every new call makes the next campaign sharper, even as people move on.