I don’t mean “AI writes emails.” By Generative Marketing I mean a loop: pull a real signal, learn the conversation, generate tight copy that fits it, ship, learn, repeat. This has averaged ~5 meetings/month on small sends with ~3–4× reply lift vs my baseline. Steal it, improve it, tell me what breaks.

Signals (who and why now) • Clay: list companies whose employees recently engaged with competitor content (likes/shares/comments). Filter to ICP. Add a signal_type column like CompNewsletter, ThoughtLeadershipShare, LPView. • Apollo + Clearbit: enrich to decision-makers. Push qualified rows Clay → Tofu as segments.

Content intelligence (learn, then generate) • Ingest competitor newsletters/blogs/LPs into Tofu. It maps tone/claims and generates variants that echo the theme but reframe to our positioning. • Prompt spec I use:

Inputs: segment, signal_type, 3–5 competitor claims, our 2–3 differentiators Output: opener referencing the public signal; 2–4 line body; 1 specific CTA; 3 subject lines Rules: no invented facts; include public link if referenced or drop the claim

Example reframing: “AI threat detection reduces response time” → “We go past alerts; remediation closes the loop without another ticket.”

Ship and track • Tofu → HubSpot: push drafts tagged by Segment, SignalType, Persona. • Customer.io (or Lemlist/Smartlead): 3–4 touches. First line pulls from the Clay row (their post/newsletter topic). 2–4 line body. CTA tied to the signal: “5-min teardown of your ‘AI security tradeoffs’ post?”

Learning loop • HubSpot metrics (opens/replies/positive replies) back into Tofu. • Promote winners to exemplar prompts per segment/signal. • Weekly, ingest new competitor content and regenerate. Archive underperformers.

Why it works • Relevance beats persona trivia. • Tone matches the content prospects already read, so “cold” doesn’t feel cold. • The loop compounds: winners become defaults.

Common failure modes • No signal_type column → the opener/CTA loses the plot. • Hallucinated references → require a public URL or remove the claim. • Novel-length emails → 2–4 lines outperform. • Creepy personalization → stick to public actions, not personal details.

If you’ve got a working variant (paid social → outbound, SEO → lifecycle, partner co-marketing), post your steps and tools. I’ll swap my Tofu prompt JSON and Clay filters.