Deliverability Optimization Guide
Implement technical, reputational, and content strategies to achieve optimal inbox placement including authentication setup, list hygiene, sender reputation management, and compliance protocols.
Use This When
Campaign planning, content calendars, ad creative, copy tests, hooks, CTAs.
Inputs Needed
Business, offer, audience, budget, channel, target geography, competitor examples, success metric, current results.
Expected Output
Campaign plan with strategy, audience, creative angles, channel setup, budget allocation, KPIs, next actions.
The Workflow Prompt
You are a senior growth marketer and paid media strategist. Objective: Deliverability Optimization Guide Context: Implement technical, reputational, and content strategies to achieve optimal inbox placement including authentication setup, list hygiene, sender reputation management, and compliance protocols. Original task: **You are an email deliverability expert and inbox placement specialist.Create a comprehensive deliverability optimization guide for [COMPANY] sending [VOLUME] emails monthly to [AUDIENCE_TYPE]. Address all critical deliverability factors:(1) technical setup (SPF, DKIM, DMARC authentication)(2) sender reputation management (warm-up strategies, IP reputation)(3) list hygiene protocols (validation, suppression, engagement-based cleaning)(4) email content optimization (avoiding spam triggers, link strategy)(5) authentication and compliance (CAN-SPAM, GDPR, CASL). For each factor, provide:specific implementation steps, tools/services recommended, timeline to implementation, and success metrics. Include content guidelines: words/phrases to avoid, link density optimization, HTML structure best practices, image to text ratio.Develop a list management system: validation frequency, re-engagement cadence, hard bounce protocols, complaint handling.Create authentication setup documentation with step-by-step provider instructions for [CURRENT_EMAIL_PROVIDER]. Include monitoring dashboard recommendations: key metrics to track, alert thresholds, reporting cadence. Provide reputation repair protocols if starting from low IP/domain reputation. Format as an implementation guide with checklists, templates, and technical specifications to achieve [TARGET_INBOX_PLACEMENT]% placement rate.** Inputs I may provide: Business, offer, audience, budget, channel, target geography, competitor examples, success metric, current results. Operating instructions: - First, restate the objective in one clear sentence. - If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them. - Use a Detailed response style. - Be specific to the business, audience, channel, and constraints provided. - Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use. - When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources. - Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead. - End with a short QA checklist that helps me verify the output. Required output: Campaign plan with strategy, audience, creative angles, channel setup, budget allocation, KPIs, next actions. Caution: Do not treat output as professional legal, medical, financial, or compliance advice; verify with a qualified expert. Use live web research or source documents before finalizing claims.
QA Follow-Up Checklist
After the AI returns its output, verify against:
- Output is specific to the provided business/context.
- Assumptions are clearly labeled.
- No unsupported claims without source checks.
- Next actions are clear and usable.
- Hook, offer, audience, proof, objection, and CTA are addressed.
Follow-Up Prompt
Now turn the result for 'Deliverability Optimization Guide' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.
Avoid / Cautions
Do not treat output as professional legal, medical, financial, or compliance advice; verify with a qualified expert. Use live web research or source documents before finalizing claims.
How Different Verticals Use This Workflow
Restaurant & Hospitality
A hospitality SaaS company sending 80K emails monthly with declining open rates feeds in their inbox placement (62%), DNS records, and engagement segmentation. The guide identifies missing DKIM configuration plus 18K inactive subscribers needing suppression — inbox placement lifts to 89% and open rates recover 22% over 60 days.
Retail & E-commerce
A DTC brand sending 300K emails monthly with engagement collapsing feeds in their setup, inbox placement (54%), and recent send history. The guide identifies sender reputation damage from a recent over-send and missing DMARC — inbox placement recovers to 84% over 90 days with a controlled warm-up plan.
Professional Services & B2B
A consulting firm sending 12K emails monthly to a B2B list with rising spam complaints feeds in their inbox placement, DNS configuration, and segmentation. The guide identifies content-side issues (link density too high) plus authentication gaps — spam complaint rate drops from 0.5% to 0.08% over 45 days.
Beauty & Personal Care
A clean beauty brand sending 120K emails monthly with declining click rates feeds in their inbox placement (68%), DNS records, and segmentation. The guide identifies image-to-text ratio violations plus weak SPF — inbox placement lifts to 91% and click rates recover 31% over 60 days.
Local & Trade Services
A regional services company sending 18K monthly emails to a customer/prospect list with worsening deliverability feeds in their current state. The guide identifies missing DMARC plus engagement-based segmentation gap (no inactive cleaning in 3 years) — inbox placement lifts from 71% to 92% over 90 days.
Frequently Asked
What inputs make a deliverability fix actually land emails vs theoretically improve scores?
Three things: your current inbox-placement rate (use a tool like GlockApps or Sender Score), your DNS records (SPF, DKIM, DMARC — pull current values), and your engagement-based segmentation (when did you last clean inactive subscribers). Without those, the guide produces generic recommendations. With them, you get a sequenced fix list tied to your specific deliverability problem.
Should I use ChatGPT or Claude Sonnet for deliverability planning?
ChatGPT GPT-5.5 for the technical setup logic and DNS configuration. Claude Sonnet 4.6 for the content-side recommendations (subject line patterns, content structure, link density). For the actual DNS implementation, neither replaces your IT team or domain registrar; AI specifies what to configure, humans configure it. Test in a sandbox before pushing to production.
How is this different from following Klaviyo or Mailchimp's deliverability docs?
Platform docs are platform-agnostic best practices. This produces your specific fix sequence — what to address first based on your current state. Most teams follow generic deliverability checklists in order and fix things that aren't broken while ignoring the actual problem (usually engagement-based, not technical). The audit prioritizes by impact, not by checklist order.
When is deliverability optimization not the actual problem?
When your open rates are dropping but engagement on opened emails is fine — you have a sender reputation issue, not a content issue. When your unsubscribes spike — your content/frequency is the problem, not deliverability. And when you've recently migrated ESPs — you have a warm-up problem, not an optimization problem. Diagnose before prescribing.