여러분의 이메일은 모든 받은편지함에서 100개 이상의 다른 메일과 경쟁합니다. 이 프롬프트들은 열리는 제목을 쓰고, 귀찮지 않게 육성하는 시퀀스를 만들며, 실제로 클릭되는 CTA를 작성하도록 도와줍니다. ChatGPT, Gemini, Claude에서 테스트되어 청중이 무시하지 않을 이메일을 쓰는 최적의 모델을 알 수 있습니다.
| 하고 싶은 것 | 최적 용도 |
|---|---|
| Generate high-open-rate subject lines | ChatGPT |
| Create an onboarding email series | Claude |
| Win back inactive subscribers | Gemini |
| Design automated nurture sequences | ChatGPT |
| Create a repeatable newsletter template | Gemini |
| Design email experiments that produce clear winners | Claude |
프롬프트
Generate high-open-rate subject lines
I'm sending an email about [topic/offer/announcement]. Audience: [who they are and what they care about] Email type: [newsletter/promotional/transactional/re-engagement] Brand voice: [formal/casual/witty/urgent] Current open rate: [percentage if known] Generate: 1. 10 subject lines using curiosity gaps 2. 10 subject lines using specificity and numbers 3. 10 subject lines using personalization placeholders 4. 5 subject lines with matching preview text 5. Rank the top 5 overall with reasoning 6. 3 subject lines to AVOID (common mistakes in [industry])
최적 용도: CHATGPT
ChatGPT generates the widest variety of subject line styles and naturally incorporates personalization tokens. Its subject lines feel human-written rather than template-generated.
테스트 완료 Feb 15, 2026
프로 팁
Include your 3 best-performing past subject lines. AI will pattern-match what works for YOUR audience specifically, not just apply generic best practices.
Create an onboarding email series
Build a welcome email sequence for new [subscribers/customers/trial users]. Product/service: [what you offer] Main value proposition: [why they signed up] Desired end action: [purchase/upgrade/book a call] Sequence length: [5-7 emails over how many days] For each email, provide: 1. Send timing (days after signup) 2. Subject line and preview text 3. Full email copy (150-250 words each) 4. The single CTA for each email 5. The psychological principle behind each email's approach 6. Segmentation trigger: what to do if they click vs. don't click
최적 용도: CLAUDE
Claude builds the most psychologically sophisticated sequences with genuine progression. Each email builds on the last rather than repeating the same pitch with different words.
테스트 완료 Feb 15, 2026
프로 팁
Map your sequence to the buyer's awareness stages: unaware, problem-aware, solution-aware, product-aware, most-aware. Each email should move them exactly one stage forward.
Win back inactive subscribers
I have [number] subscribers who haven't opened an email in [timeframe]. What they originally signed up for: [lead magnet/offer] Last email topic they engaged with: [if known] What's changed since they went cold: [new features, offers, content] Build a 3-email re-engagement sequence: 1. Email 1: 'We miss you' approach with a compelling reason to return 2. Email 2: Best content/offer roundup of what they've missed 3. Email 3: Final email with clear stay-or-go choice 4. Subject lines for each (optimized for cold subscribers) 5. Win-back incentive recommendations 6. Sunset policy: when to remove unresponsive subscribers and exact criteria
최적 용도: GEMINI
Gemini creates re-engagement sequences with the right balance of urgency and respect. It avoids guilt-tripping language that other models default to and focuses on genuine value.
테스트 완료 Feb 15, 2026
프로 팁
Send your re-engagement sequence from a personal name (founder or team member), not your brand name. Cold subscribers are more likely to open an email from 'Sarah at [Company]' than '[Company Newsletter].'
Design automated nurture sequences
I need an automated drip campaign for [purpose: lead nurture / onboarding / upsell / event]. Trigger event: [what starts the sequence] Audience segment: [who enters this campaign] Campaign goal: [desired conversion] Timeline: [days/weeks the campaign runs] Existing content assets: [blog posts, case studies, webinars to reference] Design the complete campaign: 1. Campaign flowchart with decision branches (if opened/clicked vs. didn't) 2. Email copy for each node (subject, body, CTA) 3. Wait times between emails with reasoning 4. Branch logic: what happens at each decision point 5. Exit conditions: when someone leaves the campaign 6. KPIs to track at each stage and benchmarks to aim for
최적 용도: CHATGPT
ChatGPT excels at mapping complex branching logic and writing clear decision-tree sequences. Its campaign flowcharts are detailed enough to implement directly in tools like Mailchimp or ActiveCampaign.
테스트 완료 Feb 15, 2026
프로 팁
Keep your drip campaigns to 3 decision branches maximum. Every branch doubles your maintenance burden. AI loves building complex trees — force it to simplify by setting a branch limit upfront.
Create a repeatable newsletter template
I want to launch a [frequency] newsletter for [audience]. Topics I'll cover: [3-5 content areas] Tone: [educational/entertaining/curated/opinionated] Time I can spend per issue: [hours] Monetization plan: [ads/sponsorships/premium/lead gen/none yet] Design my newsletter: 1. A name and tagline (5 options with reasoning) 2. A repeatable section structure (e.g. intro, main story, quick hits, CTA) 3. Word count targets for each section 4. A content sourcing system: where to find material each week 5. A sample first issue with full copy 6. Growth strategy for the first 1,000 subscribers
최적 용도: GEMINI
Gemini designs the most practical newsletter formats with realistic time estimates. It accounts for sustainability — building a format you can maintain weekly without burnout.
테스트 완료 Feb 15, 2026
프로 팁
Write 4 issues before you launch. If you can't produce 4 in advance, your format is too ambitious. Adjust sections and word counts until the newsletter takes 50% of the time you initially planned.
Design email experiments that produce clear winners
I want to A/B test my emails to improve [open rate/click rate/conversion rate]. Current metrics: [open rate, click rate, list size] Email platform: [Mailchimp/ConvertKit/ActiveCampaign/etc.] Send frequency: [how often you email] Biggest unknown: [what you're most unsure about] Build a 4-week testing plan: 1. Week 1 test: what to test, hypothesis, and how to measure 2. Week 2 test: building on week 1 results 3. Week 3 test: a more advanced element to test 4. Week 4 test: final optimization 5. Minimum sample size needed per test for statistical significance 6. A testing rules document: when to call a winner and when to keep testing
최적 용도: CLAUDE
Claude designs the most scientifically rigorous testing plans and correctly calculates sample sizes. It warns against common testing mistakes like calling winners too early or testing too many variables at once.
테스트 완료 Feb 15, 2026
프로 팁
Test one variable at a time, and test the highest-impact element first. Subject lines affect 100% of recipients; button color affects only those who already opened and read. Start at the top of the funnel.
실제 테스트 결과를 기반으로 합니다 — 추측이 아닙니다. 테스트 방법론 보기
Gemini
Best for re-engagement campaigns and newsletter design. Creates sustainable email formats with realistic production timelines. Less effective at emotional or story-driven copy.
결과 출처: Gemini 2.0 Flash · 테스트 완료 Feb 15, 2026ChatGPT
Best for subject lines, drip campaign logic, and platform-specific copy. Generates the most natural-sounding email copy but can over-optimize for clicks at the expense of authenticity.
결과 출처: GPT-4o · 테스트 완료 Feb 15, 2026Claude
Best for welcome sequences and A/B test design. Builds psychologically sophisticated email journeys and catches statistical errors in testing plans. Sometimes writes emails that are too long.
결과 출처: Claude 3.5 Sonnet · 테스트 완료 Feb 15, 2026Grok
Generates the punchiest subject lines and writes emails with a distinctive, scroll-stopping voice. Strong at creating urgency without sounding desperate. Less effective at building long-form nurturing sequences that require patience and gradual trust-building.
결과 출처: Grok 2 · 테스트 완료 Feb 15, 2026Write the PS line first. The PS is the second most-read part of any email after the subject line. Write it before the body and put your most important message there. Many people scroll straight to the bottom.
One email, one ask. Every email with multiple CTAs converts worse than one with a single clear action. If you have three things to say, send three emails. AI will try to stuff everything in — tell it to pick one CTA.
Send time matters less than you think. The difference between the 'best' and 'worst' send time is usually 2-3% open rate. Spend that optimization energy on better subject lines instead — they swing open rates by 20%+.