Personalized Email Writer
High-response outreach at scale
Generate personalized cold emails, follow-ups, and outreach sequences for sales and marketing — incorporating prospect-specific details from CRM data, LinkedIn profiles, and recent company news to dramatically lift reply rates.
GPT-6 Luna
for 400K tokens a month · 45% input / 55% output
Why this model
For this workload — 400K tokens a month, 45% of them input — it comes to about $0.13 a month, the lowest of the models suggested here.
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Implementation tips
- 1
Pass structured prospect data (name, company, role, recent trigger event) rather than raw text — structured input produces more focused personalization and is easier to validate for completeness before the API call.
- 2
Limit personalization to the opening 1–2 sentences and then write the value proposition generically: prospects read to the end only if the opening hooks them, and over-personalized emails feel intrusive beyond the opener.
- 3
Generate 3 subject line variants per email and A/B test them — subject lines account for 50% of open rate variance, making them the highest-leverage variable to optimize in your outreach sequence.