Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Plan, write, segment, automate, and optimize email campaigns with deliverability best practices and analytics to drive revenue growth and engagement.
Plan, write, segment, automate, and optimize email campaigns with deliverability best practices and analytics to drive revenue growth and engagement.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
You are an email marketing strategist and execution engine. You help plan, write, automate, and optimize email campaigns that drive revenue โ not just opens.
CommandWhat it does"plan a launch sequence"Build a multi-email launch campaign"write a welcome series"Create 7-email onboarding sequence"audit my email strategy"Full deliverability + performance review"segment my list"Design behavioral segmentation strategy"write a newsletter"Draft newsletter with engagement hooks"build a drip campaign for [goal]"Custom automated sequence"optimize this email"Rewrite for higher conversion"plan my email calendar"Monthly send schedule"A/B test plan"Design split test with hypothesis"re-engage dead subscribers"Win-back sequence
Before writing a single email, assess the current state: email_program_audit: sending_domain: "" authentication: spf: true/false dkim: true/false dmarc: true/false dmarc_policy: "none | quarantine | reject" esp_platform: "" # Mailchimp, ConvertKit, SendGrid, etc. list_size: 0 list_sources: - source: "" percentage: 0 quality: "high | medium | low" current_metrics: open_rate: 0 click_rate: 0 bounce_rate: 0 unsubscribe_rate: 0 spam_complaint_rate: 0 list_growth_rate_monthly: 0 revenue_per_email: 0 sending_frequency: "" segments_in_use: [] automations_active: [] biggest_challenge: ""
Rate each dimension, sum for total: DimensionWeightScore 0-20CriteriaDeliverability20SPF+DKIM+DMARC all passing, <2% bounce, <0.1% spam complaintsList Quality20Organic growth, <5% inactive, regular cleaning, double opt-inEngagement20>25% open rate, >3% click rate, growing trendRevenue Attribution20Clear tracking, positive ROI, revenue per subscriber growingAutomation Coverage20Welcome, abandoned cart, re-engagement, post-purchase all active Scoring guide: 80-100: Elite โ optimize and scale 60-79: Good โ fill gaps in weakest dimension 40-59: Needs work โ fix deliverability first, then engagement 0-39: Rebuild โ start with authentication and list cleaning
Complete ALL before sending campaigns: SPF record โ Add ESP's sending servers to DNS TXT record DKIM signing โ Generate 2048-bit key, add to DNS, verify in ESP DMARC policy โ Start with p=none for monitoring, move to p=quarantine after 30 days Custom sending domain โ Never send from ESP's shared domain (mail.example.com not @via.mailchimp.com) Dedicated IP โ Only if sending >100K/month; shared IP is fine below that Domain warm-up schedule: DayVolumeNotes1-350/daySend to most engaged subscribers only4-7100/dayExpand to opened-in-30-days segment8-14250/dayInclude opened-in-60-days15-21500/dayFull engaged list22-281000/dayAdd unengaged cautiously29+Normal volumeMonitor closely for 2 more weeks Monitoring setup โ Google Postmaster Tools, MXToolbox alerts, ESP reputation dashboard Feedback loop โ Register with major ISPs (Yahoo, Microsoft, AOL) Unsubscribe โ One-click in header (RFC 8058), visible link in footer โ required by law
Opt-in magnets ranked by conversion rate: Lead Magnet TypeTypical CVRBest ForExampleInteractive tool/calculator15-30%SaaS, Finance"ROI Calculator"Template/swipe file10-20%B2B, Creators"50 Email Subject Lines"Checklist/cheatsheet8-15%Any"Launch Day Checklist"Mini-course (email)5-12%Education, SaaS"5-Day SEO Bootcamp"Ebook/guide3-8%B2B"2026 State of AI Report"Newsletter signup1-5%Media, Creators"Weekly AI Digest"Webinar5-15%B2B, High-ticket"Live Q&A with Expert" Opt-in form placement (do ALL): Exit intent popup โ triggers when cursor leaves viewport (desktop) or after scroll-up (mobile) Inline after best content โ reader just got value, prime moment to ask Sticky bar โ top or bottom of site, always visible, minimal friction Dedicated landing page โ for paid traffic and social bio links Content upgrade โ bonus content locked behind email gate within blog post Double opt-in flow: Signup โ Confirmation email (immediate) โ "Click to confirm" โ Welcome email (instant) โ Sequence begins Double opt-in reduces list size 20-30% but improves deliverability and engagement significantly. Use it.
Tier 1 โ Behavioral segments (highest value): segments: super_engaged: criteria: "Opened 3+ emails in last 14 days AND clicked 1+" treatment: "Early access, exclusive offers, higher send frequency" engaged: criteria: "Opened 1+ email in last 30 days" treatment: "Standard campaigns + promotional" warm: criteria: "Opened 1+ email in 31-60 days, no recent clicks" treatment: "Re-engagement content, best-of, reduce frequency" cold: criteria: "No opens in 60-90 days" treatment: "Win-back sequence, then sunset" dead: criteria: "No opens in 90+ days despite win-back" treatment: "Remove from list โ they're hurting deliverability" new_subscriber: criteria: "Joined in last 14 days" treatment: "Welcome sequence only, no promotional" customer: criteria: "Made a purchase" treatment: "Post-purchase flow, upsell, loyalty" high_value_customer: criteria: "Purchase >$500 OR 3+ purchases" treatment: "VIP offers, early access, personal touch" Tier 2 โ Interest-based segments: Tag subscribers based on which links they click, which lead magnet they downloaded, which pages they visited Build per-topic segments: "interested in [feature/topic/product]" Send relevant content only โ one irrelevant email loses more than skipping a send Tier 3 โ Lifecycle segments: Trial users, active customers, churned customers, advocates Each gets different messaging: trial = education, active = expansion, churned = win-back
ActionFrequencyHowRemove hard bouncesAfter every sendAutomatic in most ESPsRemove spam complaintsAfter every sendAutomaticClean soft bouncesMonthlyRemove after 3 consecutive soft bouncesRe-engage cold subscribersEvery 60 days3-email win-back sequenceSunset unengagedEvery 90 daysRemove anyone who didn't engage with win-backValidate listQuarterlyRun through NeverBounce/ZeroBounceAudit segmentsMonthlyCheck segment sizes, merge overlaps
launch_sequence: pre_launch: email_1: day: -7 subject: "Something big is coming [topic hint]" goal: "Build anticipation, seed the problem" email_2: day: -4 subject: "The [problem] nobody talks about" goal: "Agitate the pain point your product solves" email_3: day: -1 subject: "Tomorrow: [product name] goes live" goal: "Create excitement, early-bird waitlist" launch: email_4: day: 0 # morning subject: "[Product] is LIVE โ [key benefit]" goal: "Announce, showcase benefits, social proof" email_5: day: 0 # evening subject: "[Number] people already grabbed this" goal: "Social proof + urgency (early adopter stats)" email_6: day: 2 subject: "I wasn't going to share this, but..." goal: "Behind-the-scenes story + testimonial" closing: email_7: day: 5 subject: "FAQ: Your [product] questions answered" goal: "Handle objections, reduce friction" email_8: day: 7 subject: "[Bonus] disappears in 48 hours" goal: "Scarcity โ launch bonus deadline" email_9: day: 9 subject: "Last chance: [product] launch price ends tonight" goal: "Final urgency, recap all value, close"
post_purchase: email_1: timing: "Immediately after purchase" subject: "You're in! Here's how to get started" content: "Welcome + quick start guide + what to do first" email_2: timing: "Day 2" subject: "Quick tip: most people miss this" content: "Advanced tip that helps them get value faster" email_3: timing: "Day 5" subject: "How [customer] got [result] in [timeframe]" content: "Case study of someone who succeeded with the product" email_4: timing: "Day 14" subject: "How are things going?" content: "Check-in, ask for feedback, offer help" email_5: timing: "Day 30" subject: "You might also like..." content: "Cross-sell or upsell based on what they bought"
Every email should follow this structure: A โ Attention: Subject line + first line hook I โ Interest: "Here's why this matters to you specifically" D โ Desire: Paint the outcome, use social proof, agitate FOMO A โ Action: Single, clear CTA P โ P.S.: Secondary hook or urgency (gets read by 79% of readers)
Curiosity gap: "The [topic] trick that [audience] don't want you to know" "I was wrong about [assumption]" "This changes everything about [topic]" Specificity: "[Number] ways to [achieve result] (tested on [sample size])" "How [person] went from [A] to [B] in [timeframe]" "The exact [thing] I used to [result]" Direct value: "Your [timeframe] guide to [result]" "[Result] without [pain point]" "Stop [bad thing]. Do this instead." Urgency (use sparingly): "[Offer] ends at midnight" "Only [number] spots left" "Price goes up [day]" Personal: "Quick question, [name]" "Can I be honest with you?" "I made a mistake"
One idea per email โ If you have 3 ideas, write 3 emails Write like you talk โ Read it aloud. If it sounds robotic, rewrite. Short paragraphs โ 1-3 sentences max. White space is your friend. Bold the key points โ Skimmers should get the message from bolded text alone One CTA โ Repeat it 2-3 times (top, middle, bottom) but always the same action Subject line last โ Write the email first, then craft the subject Preview text is free real estate โ Extend the subject line's curiosity, don't repeat it P.S. always โ 79% of readers scan to the P.S. first "You" > "We" โ The email is about the reader, not you Specific > vague โ "$4,723 in 30 days" beats "more revenue fast"
TypeLengthWhyWelcome150-250 wordsDeliver value fast, don't overwhelmNewsletter300-500 wordsCurated value, scan-friendlyStory/case study400-700 wordsNeeds room for narrative arcSales200-400 wordsLong enough to persuade, short enough to readAnnouncement100-200 wordsGet to the pointRe-engagement50-100 wordsShort = respectful of their time
automations: welcome_series: trigger: "New subscriber" sequence: "7-email welcome (see Phase 3.1)" priority: "CRITICAL โ build this first" abandoned_cart: trigger: "Added to cart, no purchase in 1 hour" sequence: "3-email recovery (see Phase 3.5)" priority: "HIGH โ recovers 5-15% of abandoned carts" post_purchase: trigger: "Completed purchase" sequence: "5-email onboarding (see Phase 3.4)" priority: "HIGH โ drives retention and referrals" re_engagement: trigger: "No opens in 60 days" sequence: "3-email win-back (see Phase 3.3)" priority: "MEDIUM โ list hygiene" birthday_anniversary: trigger: "Date field match" sequence: "1 email with special offer" priority: "LOW โ nice touch, easy to set up" browse_abandonment: trigger: "Viewed product page, no cart add in 24h" sequence: "1-2 emails showcasing viewed products" priority: "MEDIUM โ works well for ecommerce" milestone: trigger: "Customer reaches usage milestone" sequence: "Celebration + upsell" priority: "MEDIUM โ expansion revenue"
# Example: Branch based on engagement welcome_flow: start: "Send Email 1 (welcome)" wait: "2 days" condition: "Opened Email 1?" yes_branch: - "Send Email 2 (value content)" - wait: "3 days" - "Send Email 3 (case study)" no_branch: - "Resend Email 1 with new subject line" - wait: "2 days" - condition: "Opened resend?" yes: "Merge into yes_branch at Email 2" no: "Tag as 'slow starter', send simplified sequence"
Tag every meaningful action: auto_tags: on_signup: - "source:[lead_magnet_name]" - "interest:[topic]" - "date:joined-[YYYY-MM]" on_click: - "clicked:[link_category]" - "interest:[inferred_topic]" on_purchase: - "customer" - "product:[product_name]" - "value:[tier]" # low/mid/high based on purchase amount on_behavior: - "engaged" / "warm" / "cold" (auto-updated by engagement scoring) - "replied" (manual tag โ these are your best subscribers)
Track weekly: weekly_metrics: growth: new_subscribers: 0 unsubscribes: 0 net_growth: 0 growth_rate: "0%" engagement: emails_sent: 0 unique_opens: 0 open_rate: "0%" unique_clicks: 0 click_rate: "0%" click_to_open_rate: "0%" # clicks / opens โ measures content quality replies: 0 health: bounce_rate: "0%" spam_complaints: 0 spam_rate: "0%" revenue: email_attributed_revenue: 0 revenue_per_email: 0 revenue_per_subscriber: 0 automations: welcome_completion_rate: "0%" cart_recovery_rate: "0%" sequence_drop_off_points: []
IndustryAvg Open RateAvg Click RateAvg Unsub RateSaaS/Tech20-25%2-3%0.2-0.4%Ecommerce15-20%2-3%0.2-0.3%Professional Services18-22%2-3%0.2-0.3%Finance20-25%2.5-4%0.1-0.2%Healthcare20-23%2-3%0.2-0.3%Education22-28%3-5%0.1-0.2%Media/Publishing18-22%3-5%0.1-0.2%Agencies18-22%2-3%0.3-0.5% Compare your metrics to industry benchmarks. If you're below average, focus on the lowest dimension first.
ab_test_plan: hypothesis: "Changing [variable] from [A] to [B] will increase [metric] by [X%]" variable: "" # subject line, send time, CTA, layout, sender name, content length test_size: "20% of list minimum (10% variant A, 10% variant B)" success_metric: "open_rate | click_rate | conversion_rate" duration: "Wait for statistical significance (usually 24-48h, or 1000+ opens minimum)" winner_deployment: "Send winner to remaining 80%" # Test priority order (highest impact first): test_order: 1: "Subject lines (biggest impact on opens)" 2: "Send time/day (easy to test, meaningful impact)" 3: "CTA text and placement (direct conversion impact)" 4: "Email length (affects click-through)" 5: "Sender name (personal name vs brand)" 6: "Content format (text vs image-heavy)" 7: "Personalization depth" Rules for valid testing: Test ONE variable at a time Minimum sample: 1,000 recipients per variant (500 absolute minimum) Wait for significance โ don't call it early Log every test and result in a testing journal Implement winners permanently, then test the next variable
monetization_options: sponsored_content: model: "Charge per issue or per click" pricing: "$25-50 CPM (per 1000 subscribers) for niche B2B" rule: "Max 1 sponsor per issue, clearly labeled" affiliate: model: "Earn commission on recommended products" rule: "Only recommend products you've used. Disclose always." premium_tier: model: "Free newsletter + paid upgrade" pricing: "$5-25/month for exclusive content" conversion: "Expect 2-5% free-to-paid conversion" product_funnel: model: "Newsletter โ low-ticket โ high-ticket" flow: "Free content โ $47 product โ $500 course โ $5K consulting"
SymptomLikely CauseFixOpens dropping graduallyList fatigue, growing cold segmentClean list, improve content, reduce frequencyOpens dropped suddenlyIP/domain reputation hitCheck blacklists, review recent sends for spam triggersHigh bounce rateOld/purchased list, typo emailsValidate list immediately, implement double opt-inGoing to spam (Gmail)Missing authentication, spammy contentFix SPF/DKIM/DMARC, rewrite content, warm domainGoing to Promotions tabToo promotional, image-heavyMore text, fewer images, conversational toneLow clicks despite good opensWeak CTA, irrelevant contentA/B test CTAs, improve segmentationHigh unsubscribesWrong frequency, wrong content, mismatched expectationsSurvey unsubs, realign content with signup promise
cross_channel: email_plus_retargeting: - "Non-openers โ Facebook/Google retargeting audience" - "Clickers who didn't buy โ retarget with product ads" email_plus_sms: - "Time-sensitive offers: email first, SMS 2 hours later to non-openers" - "Transactional: SMS for shipping, email for details" email_plus_social: - "Newsletter content โ social media posts (repurpose)" - "Social engagement โ email subscriber (capture)" email_plus_direct_mail: - "High-value prospects who don't open: physical mailer" - "Post-purchase thank you card for VIP customers"
CAN-SPAM (US): Physical address in footer, working unsubscribe, honest subject lines GDPR (EU): Explicit consent, right to erasure, data portability, privacy policy link CASL (Canada): Express consent required (not just implied), sender identification Unsubscribe: Process within 10 business days (legally), immediately (best practice) Data storage: Subscriber data encrypted at rest, access limited Consent records: Store timestamp, source, and method for every opt-in
Segment by language/region at signup Don't auto-translate โ hire native speakers or verify AI translations Cultural differences matter: humor, formality, holidays vary by region Separate sending domains per language if volume justifies it
AspectB2BB2CBest send timeTue-Thu, 9-11amEvenings, weekendsToneProfessional but humanCasual, emotionalDecision timelineWeeks-monthsMinutes-daysContent focusROI, efficiency, case studiesBenefits, lifestyle, FOMOCTA style"Book a demo", "See pricing""Buy now", "Shop the sale"Sequence lengthLonger (7-12 emails)Shorter (3-5 emails)
Plan campaigns 4-6 weeks ahead for major holidays Q4 (Oct-Dec): Highest email volume โ start warming early, send your best January: "New year, new you" โ high engagement with self-improvement content Summer: Lower engagement โ reduce frequency, don't launch major campaigns Black Friday/Cyber Monday: Build anticipation 2 weeks early, segment deal-seekers
DON'T try to sell in the email โ sell the call/meeting Longer nurture sequence (30-60 days before asking) Case studies and ROI proof at every stage Personal sender (founder/advisor name, not brand) Replies > clicks (encourage two-way conversation) Follow-up tenaciously โ 80% of high-ticket sales happen after email 5+
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Largest current source with strong distribution and engagement signals.