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Best prompts for ChatGPT Marketing using email campaign optimization
13 practical, copy-ready prompts to optimize email marketing campaigns. Each entry includes a concise title, explanation, a realistic example you can paste, and the AI models that work best for the task.
Claude Opus 4
GPT-5
Claude Sonnet 4
Gemini 2.5 Pro
Gemini 2.5 Flash
You know that sinking feeling when you stare at a blank email campaign wondering if your subject line will get buried in the inbox graveyard. You've asked ChatGPT for help, but gotten generic advice that sounds like it came from a 2010 marketing textbook. What if you could skip the guesswork and get laser-focused prompts that actually move the needle on your email performance?
This collection hands you 13 battle-tested prompts that transform ChatGPT into your personal email optimization expert. From generating high-converting subject lines and crafting strategic A/B test plans to designing sophisticated nurture sequences and diagnosing campaign performance issues, these prompts solve the real challenges that keep email marketers up at night. Instead of struggling with vague AI responses, you'll get specific, actionable strategies that turn your email campaigns into revenue-generating machines.
1
Subject Line A/B Test Generator
You are an email marketing specialist. Create 8 distinct subject lines for A/B testing for an email promoting: {{offer_description}} to {{audience_description}}. Vary length (short, medium, long), tone (urgent, curious, playful, professional), and include one emoji option. Label each with a suggested test pair (A or B) and a 1-line rationale for expected performance.
Generate 8 subject lines for A/B testing that vary by length, tone, and value proposition for a specified audience and offer.
2
Segmentation & Subject Personalization Plan
Given the audience data fields: {first_name, last_purchase_date, last_product_category, avg_order_value, location, app_activity_score}, create 5 prioritized segments with brief inclusion rules and a subject line template personalized for each segment. Also list the top 2 tokens to use in preview text.
Provide segmentation buckets and subject personalization tokens to increase open rates based on behavioral and demographic signals.
3
Full A/B Test Plan (Hypothesis to Metrics)
Create an A/B test plan for testing: {{element_to_test}} in an email campaign promoting {{offer}}. Include hypothesis, required sample size per variant (with baseline conversion rate assumption), test duration, primary & secondary metrics, segmentation notes, and decision rules for declaring a winner.
Create a structured A/B test plan for an email element (subject, CTA, layout) with hypothesis, sample size, duration, primary metric, and success criteria.
4
Email Send Time Optimization Recommendation
We have an audience distribution by timezone: {{timezone_distribution}} and hourly app activity peaks: {{activity_peaks}}. Recommend optimal send windows per major timezone, a 3-week send-time test matrix, and rules for rolling send optimization based on open velocity and conversions.
Provide best-send-time recommendations based on timezone distribution and user activity windows with testing plan.
5
Personalized Preview Text & Preheader Optimization
Write 10 preview text (preheader) variations under 90 characters for an email about {{offer}} targeted to segments: {{segment_list}}. Indicate which preview suits mobile-first readers and which suits loyalty/high-AOV customers.
Produce 10 preview text variations tailored to segments and device types to maximize opens and convey urgency or value.
6
Re-engagement Campaign Flow
Create a 4-step re-engagement sequence for users who haven't opened any emails in {{months_inactive}} months. Include subject lines, primary CTA, suggested incentives (if any), timing between steps, and clear exit conditions for removal or suppression.
Design a 4-step re-engagement email flow with timing, subject ideas, content focus, and exit criteria.
7
Win-Back Email Copy + Subject Variants
Write a win-back email (subject, 3-sentence body, CTA) for customers who haven't purchased in {{inactive_months}} months. Provide 6 subject line variants grouped by offer type: no discount, small discount (10–15%), and personalized recommendation. Keep body friendly and concise.
Generate win-back email copy and 6 subject line variants with different offers (no discount, small discount, product recommendation) and a concise CTA.
Stop Losing Your AI Work
Tired of rewriting the same prompts, juggling ChatGPT and Claude in multiple tabs, and watching your best AI conversations disappear forever?
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