⚡ Promptolis Original · Marketing & Content
🚀 Go-To-Market Launch Plan — The 90-Day Product Launch That Actually Works
The structured 90-day GTM launch — covering pre-launch foundations (week -12 to -1), launch week execution, post-launch momentum (weeks 1-8), and the measurement framework that distinguishes successful launches from PR events with no lasting impact.
Why this is epic
Most product launches are 1-day PR events with 3-day decay. This Original produces 90-day launch campaigns: pre-launch preparation, launch week coordination, post-launch momentum, and measurement that ties launch to pipeline + adoption.
Names the 5 launch failure patterns (all-eggs-one-day / no pre-launch / no post-launch / misaligned audiences / no measurement) + structural fixes.
Produces complete 90-day plan: week-by-week timeline, cross-functional responsibilities, content + PR + sales enablement + partnership leverage, launch-week execution, post-launch cadence. Based on successful launches from Notion + Figma + Linear + Vercel.
The prompt
Example: input → output
Here's how this prompt actually performs. Real input below, real output from Claude Opus 4.
<launch-context>B2B SaaS company launching major new product: AI-powered customer support agent. Category-creating — not replacing existing support tools, augmenting them. Company has $25M ARR core product (separate). 12-week runway to launch.</launch-context> <target-audiences>Primary: VP Customer Support + Head of CX at mid-market companies (100-1000 employees). Secondary: CTO/CFO who fund tools. Tertiary: support agents (end users who'll evaluate).</target-audiences> <positioning>'The AI agent that handles 70% of tier-1 support tickets autonomously + escalates only real issues.' Unlike chatbots (which frustrate) or generic AI (which hallucinates), this is purpose-built for support with quality guarantees.</positioning> <team-resources>Marketing team: CMO + 4 marketers. Product: CPO + 8 engineers. Sales: 6 AEs + 2 SDRs. $150K launch budget.</team-resources> <budget>$150K launch budget ($50K PR agency, $40K paid ads, $30K events, $30K content, etc).</budget> <timeline>12 weeks pre-launch + Tuesday launch + 8 weeks post-launch = 20 weeks total cycle.</timeline> <goals>(1) 500 demo requests in first 4 weeks, (2) $2M ARR pipeline from launch in 90 days, (3) Establish category leadership in 'AI support agents', (4) 50+ press mentions.</goals> <risks>Competitors may launch similar offering. Regulatory concerns about AI customer interactions. 'AI agent' space is noisy — could get lost.</risks>
Launch Plan: AI Customer Support Agent, Category-Creating Launch, 12-Week Runway
A GTM launch plan produces 90-day campaign (pre-launch + launch window + post-launch) that turns splash into sustained pipeline + adoption. Based on successful B2B launches (Notion, Figma, Linear, Vercel), launches succeed when 3 things happen: pre-launch is 60% of work, multi-audience segmentation replaces one-size messaging, and post-launch 8 weeks sustains momentum rather than team moving on. Your situation — category-creating launch, clear target, $25M parent company credibility, 12-week runway — is ideal for disciplined execution. This plan produces: 12-week pre-launch timeline, Tuesday launch-day execution, 8-week post-launch cadence, and measurement framework tied to pipeline not vanity metrics.
Pre-Launch (Week -12 to -1)
Week -12 to -10: Foundation
Marketing:
- Finalize positioning + messaging cascade
- Design brand/visual identity for launch
- Draft website + landing page
- Begin PR agency engagement
- Content pipeline planning
Product:
- Beta program launch (target 20-30 beta users)
- Onboarding + feedback loops with betas
- Case study identification
Sales:
- Sales enablement planning (battlecards, demos, pricing)
- Early customer identification
- Pre-launch warm pipeline development
Week -9 to -7: Content + PR Prep
Marketing:
- Launch blog post drafting (Hub article: 'The AI Agent for Customer Support')
- Demo video production (main + 3 use-case-specific)
- Landing page copy finalization
- Paid ads creative (LinkedIn, Twitter)
- Analyst briefings scheduled (Forrester, Gartner, IDC)
PR Agency:
- Media list building (TechCrunch, The Information, Forbes, industry press)
- Launch embargo coordination
- Journalist briefings scheduled (weeks -2 to -1)
Product:
- Beta cohort generating testimonials + data
- Case study development (3 enterprise anchors)
- Product polish + performance optimization
Week -6 to -4: Beta Momentum
Marketing:
- Beta customer case studies complete (3 detailed + 10 short quotes)
- Sales enablement training for AEs
- Demo environment ready
- Landing page live (with 'coming soon' + email capture)
- Email sequence to existing customer base (teaser)
Product:
- Beta program shifts to 'pre-customers' (paid launch partners)
- Usage data aggregated for launch-day claims ('70% resolution rate achieved across beta')
Sales:
- Dedicated AI-agent sales specialist trained
- Pricing approved + packaging finalized
- Enterprise outreach begins to warm accounts
Week -3 to -1: Launch Readiness
Marketing:
- Final content review
- Launch week runbook (day-by-day schedule)
- Coordination across channels
- Embargoed press briefings (week -2)
- Customer announcement strategy
PR:
- Media embargoes in place
- Launch-day press releases finalized
- Executive interviews scheduled launch week
Product:
- Launch-day product status: green
- Support + CS ready for volume
- Self-serve signup path tested
Launch Week Execution (Tuesday Launch)
Monday: Final Prep
- CEO announces internally at all-hands
- Team aligned + messaging sharp
- All launch materials staged
- Website changes scheduled for 6 AM Tuesday
TUESDAY: LAUNCH DAY (9 AM ET)
6 AM:
- Website updated with launch content
- Social channels activated
- Press release goes out
9 AM (peak email open time US):
- CEO launch announcement email to customer list
- LinkedIn post from CEO
- Twitter launch thread from CEO + CPO
10 AM:
- Blog post published
- YouTube launch video published
- Product Hunt launch (if applicable)
Throughout day:
- Embargoed press coverage breaks (TechCrunch, The Information, Forbes)
- Customer community activated (existing customers shared launch)
- Paid ads begin (LinkedIn + Twitter)
- Analyst firms publish coverage
5 PM:
- Day-one metrics: press mentions, signups, demo requests
- Team Slack celebration
- Any fires addressed
Wednesday-Friday: Amplification Week
Wednesday:
- CMO interview (if scheduled)
- Customer testimonial videos published
- AEs activate warm pipeline (outreach to prospects who engaged)
Thursday:
- Use-case-specific content drops (ecommerce AI support, B2B SaaS AI support)
- LinkedIn live Q&A with CPO
- Podcast interview scheduled
Friday:
- Week wrap-up blog post ('Launch Week: what we learned')
- Community AMAs
- Momentum sustainment
Post-Launch Momentum (Weeks 1-8)
Week 1-2: Content Wave
- 2 additional launch-related blog posts (specific use cases)
- Customer case studies published (1/week)
- Paid ad optimization based on launch-day learnings
- PR follow-up (journalists who passed on launch may pick up later)
Week 3-4: Partnership Amplification
- Co-marketing with complementary tools (helpdesk integrations)
- Integration announcements (Zendesk, Intercom partner stories)
- Webinars with customers
Week 5-6: Vertical Deep-Dives
- Industry-specific content (e.g., 'AI support for fintech')
- Vertical customer case studies
- Targeted vertical paid campaigns
Week 7-8: Momentum Check + Iteration
- 8-week launch retro
- Which channels worked? Optimize
- Content roadmap for ongoing demand gen
- Transition from launch mode to steady-state marketing
Cross-Functional Responsibilities
CMO:
- Overall launch ownership
- CEO coordination
- Launch budget
Marketing team (4 people):
- Content lead: website + blog + case studies
- Demand gen lead: paid ads + email campaigns
- PR lead: media relations + agency management
- Product marketing: sales enablement + messaging
CPO + Engineering:
- Product readiness
- Beta program + testimonials
- Launch-day stability
CEO:
- Executive positioning (LinkedIn, podcasts, media)
- Customer announcement
- Analyst conversations
Sales (6 AEs + 2 SDRs):
- Pre-launch warm pipeline
- Launch-day outreach to engaged prospects
- Post-launch conversion of demo requests
Channel Strategy
PR (30% of effort)
- Tier 1: TechCrunch, The Information, Forbes (exclusive embargoed)
- Tier 2: Industry press (Support-specific publications)
- Tier 3: Analysts (Forrester, Gartner briefings)
- Distribution: launch day + ongoing PR for 4 weeks
Content + Organic (30% of effort)
- Launch blog post (high-value hub)
- 4-5 supporting blog posts over 2 weeks
- LinkedIn (CEO + CPO daily for 2 weeks)
- Twitter (less emphasis, but active)
- YouTube launch video
Customer + Community (20% of effort)
- Email announcement to 400 customers of parent company
- Customer advocate program activation
- Slack communities + industry forums
- Referral program for launch period
Paid (15% of effort)
- LinkedIn ads to target personas
- Twitter ads to tech audiences
- Retargeting for landing page visitors
- Budget scaling based on performance
Partnership (5% of effort)
- Integration announcements (Zendesk, Intercom)
- Co-marketing with complementary tools
- Technology partner ecosystem amplification
Measurement Framework
Awareness (Week 1):
- Press mentions: target 50+ (strong for category-creating)
- Impressions: target 5M+ (organic + paid)
- Website traffic: target 3-5x baseline
- Social reach: track LinkedIn + Twitter
Interest (Week 1-4):
- Landing page conversion rate: target 5%+
- Demo requests: target 500 in first 4 weeks
- Email signups: target 3,000
- Product Hunt upvotes (if applicable)
Activation (Week 1-12):
- Free trial signups: target 1,000
- Trial-to-activated: target 40%
- Paid conversions: target 100 paying customers
- Pipeline generated: target $2M ARR
Brand (Qualitative):
- Analyst coverage tone
- Customer reactions
- Competitive response (signals positioning worked)
- Category conversation (are people calling this category 'AI support agents'?)
Risk Mitigation
Risk 1: Competitor launches similar
Mitigation: move faster, focus on differentiators, own the category language early
Risk 2: Product has issues launch day
Mitigation: load testing + staging environment + clear escalation path + sheltered beta
Risk 3: Press coverage underwhelms
Mitigation: diverse channels (not all eggs in press). Strong content + community backup.
Risk 4: 'AI' positioning gets lost in noise
Mitigation: specific differentiation ('70% resolution rate,' 'only AI built for support') + category language
Risk 5: Regulatory concerns on AI in customer-facing
Mitigation: clear AI transparency messaging, compliance certifications highlighted
Post-Launch Scaling (Weeks 9+)
- Transition from launch mode to ongoing demand gen
- Measurement shifts from launch metrics to pipeline/customer metrics
- Content cadence decreases but continues (1 blog/week vs. 3 during launch)
- PR shifts to ongoing thought leadership
- Sales + CS fully enabled for new product
- Customer success stories continue compounding
- Quarterly major announcements to sustain momentum
Key Takeaways
- 12-week pre-launch (60% of work) + 1-week launch + 8-week post-launch (20%). Launch day isn't the work — it's the culmination.
- Multi-channel, not PR-only: 30% PR + 30% content + 20% customer/community + 15% paid + 5% partnership. Diversification reduces launch-day risk.
- Tuesday 9 AM ET launch. B2B attention peaks mid-week. Avoid Mondays (inbox chaos) and Fridays (attention drop).
- Measurement: awareness (impressions, press) → interest (demos, signups) → activation (paying customers, ARR pipeline). Vanity metrics (likes) don't count.
- Post-launch 8 weeks is critical. Most teams move on week 2 — that's when momentum dies. Content + customer stories + partnership amplification sustain through week 8.
Common use cases
- Product launches (new feature, new product)
- Major product repositioning
- New market entry launches
- Brand relaunches
- Content + PR-heavy launches
- Enterprise product launches
Best AI model for this
Claude Opus 4 or Sonnet 4.5. GTM launch requires cross-functional orchestration + audience psychology + measurement. Top-tier reasoning matters.
Pro tips
- 12-week pre-launch minimum for major product. Rushed launches are theater.
- Pre-launch is 60% of work. Launch day is 20%. Post-launch is 20%.
- Multi-audience segmentation: enterprise vs. SMB vs. developers vs. analysts. Different messaging, same product.
- Beta cohort = launch-day testimonials + case studies. Recruit 20+ beta users 8 weeks pre-launch.
- PR distribution ≠ strategy. PR is one channel. Organic + content + customer + partnership = others.
- Launch day shouldn't be Monday. Tuesday-Wednesday preferred for B2B attention.
- Post-launch 8 weeks to turn splash into adoption. Most launches die in week 2 because team moves on.
- Measure: awareness (reach, impressions), interest (signups, demos), activation (usage), not just PR mentions.
Customization tips
- For major launches, hire PR agency. Good PR is network-dependent; in-house marketing teams often don't have media relationships. $40-80K for 3-month engagement is worthwhile for major launches.
- Embargo strategy requires trust. Media want exclusive access + coordinated timing. Violate embargoes = blacklisted by journalists for future launches.
- Don't launch into holiday weeks. Avoid Christmas/New Year + July 4 + major holidays. Attention compressed to narrow window.
- Have a 'day after' plan. Week 1 after launch is when stories of product issues emerge. Plan for rapid response.
- Track competitors' launch patterns. Learn from their successes + failures. Industry-specific launch patterns differ.
Variants
Major Product Launch
Net-new product launch.
Feature Launch
Major feature within existing product.
Category-Creating Launch
Launching into new category.
Pivot Launch
Repositioning existing product.
Frequently asked questions
How do I use the Go-To-Market Launch Plan — The 90-Day Product Launch That Actually Works prompt?
Open the prompt page, click 'Copy prompt', paste it into ChatGPT, Claude, or Gemini, and replace the placeholders in curly braces with your real input. The prompt is also launchable directly in each model with one click.
Which AI model works best with Go-To-Market Launch Plan — The 90-Day Product Launch That Actually Works?
Claude Opus 4 or Sonnet 4.5. GTM launch requires cross-functional orchestration + audience psychology + measurement. Top-tier reasoning matters.
Can I customize the Go-To-Market Launch Plan — The 90-Day Product Launch That Actually Works prompt for my use case?
Yes — every Promptolis Original is designed to be customized. Key levers: 12-week pre-launch minimum for major product. Rushed launches are theater.; Pre-launch is 60% of work. Launch day is 20%. Post-launch is 20%.
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