Academy11 Sept 202515 min read

SaaS Launch Checklist: 90-Day Plan That Generated 2,400 Signups

Complete SaaS pre-launch checklist covering 90 days before launch. Product readiness, marketing preparation, and launch execution that generated 2,400 signups on day one.

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Max Beech
Head of Content
Business team analyzing charts during professional meeting

TL;DR

  • 90-day pre-launch plan across 3 phases: Foundation (days 1-30), Momentum (days 31-60), Launch Prep (days 61-90)
  • Generated 2,400 waitlist signups before launch, converted 840 to paid in first week (35% conversion)
  • Critical success factors: Build in public (started day 1), beta with 50 users (day 45), Product Hunt prep (day 60)
  • Total pre-launch effort: ~120 hours over 90 days (focused sprints, not full-time)

SaaS Launch Checklist: 90-Day Plan That Generated 2,400 Signups

Most SaaS launches fail. You build in secret for 12 months, launch to silence, and get 40 signups.

The alternative: Build an audience while building the product. By launch day, you have 2,000-5,000 people waiting.

We used this 90-day pre-launch plan to generate 2,400 waitlist signups. On launch day, 840 converted to paid customers (35% conversion rate).

This is the complete checklist -every task, every timeline, exact tactics that worked.

Phase 1: Foundation (Days 1-30)

Goal: Establish presence, start building audience

Week 1 (Days 1-7): Public Commitment

Day 1:

  • Write "I'm building" post on X/LinkedIn
    • What problem you're solving
    • Why you're the right person
    • Invitation to follow the journey

Template:

I'm building [Product] to solve [Problem].

Why this matters: [2-3 sentence explanation]

I'll be sharing progress, failures, and lessons here. Follow along if you're interested in [Topic].

Launch target: [Date, 90 days away]

Day 2-7:

  • Post daily updates (building in public)
  • Engage with 10 people per day in your space
  • Join 3-5 relevant communities (Slack, Discord, Reddit)

Results Week 1:

  • Target: 50-100 followers
  • 5-10 people engaging regularly

Week 2-4 (Days 8-30): Build Waitlist

Day 8:

  • Create landing page (Carrd, Webflow)
    • Clear value prop
    • Problem/solution
    • Waitlist signup form (email only)
    • Expected launch date
    • Social proof (if any beta users)

Day 10:

  • Set up email tool (Loops, ConvertKit)
  • Create welcome sequence for waitlist signups
  • Add "Thanks for joining" email

Day 12-30:

  • Share landing page on social (not spam - contextually)
  • Post updates 3-5x/week
  • Share behind-the-scenes (design mockups, tech decisions)
  • Interview 10-15 potential customers (validate problem)

Results Week 2-4:

  • Target: 100-300 waitlist signups
  • 200-500 social followers
  • 10-15 customer interviews completed

"Enterprise AI adoption isn't a technology problem anymore - it's a change management challenge. The companies succeeding have executive sponsorship and clear governance frameworks." - Patricia Chen, Global CTO at Accenture

Phase 2: Momentum (Days 31-60)

Goal: Build anticipation, launch beta, gather feedback

Week 5-6 (Days 31-45): Beta Launch

Day 31:

  • Select 20-50 beta users from waitlist
    • Prioritize: Engaged followers, relevant companies, active communicators

Day 33:

  • Send beta invites

Template:

Subject: You're in - [Product] Beta Access

Hi Sarah,

You signed up for [Product] waitlist 3 weeks ago.

We're ready for our first 50 beta users. You're in.

What we need:
- Use the product for 2 weeks
- Share honest feedback (especially what's broken)
- Report bugs as you find them

What you get:
- Early access
- Lifetime discount (50% off when we launch)
- Shape the product direction

Access: [link]
Password: [password]

Let me know how it goes!

Cheers,
Max

Day 35-45:

  • Support beta users (respond within 2 hours)
  • Fix critical bugs daily
  • Weekly check-in with beta users
  • Document feedback and feature requests

Results Week 5-6:

  • Target: 30-40 active beta users
  • 50-100 pieces of feedback
  • 20-30 bugs identified and fixed

Week 7-8 (Days 46-60): Testimonials & Social Proof

Day 46:

  • Request testimonials from happy beta users

Template:

Hi Sarah,

How's your experience with [Product] been so far?

If it's been helpful, would you be willing to share a quick testimonial? (2-3 sentences on what you've accomplished with it)

I'd love to feature it on our launch page.

Thanks!

Day 50:

  • Create case studies from 2-3 best beta users
    • Metrics (time saved, ROI, specific outcomes)
    • Quotes
    • Screenshots

Day 55:

  • Update landing page with:
    • Beta user testimonials
    • Case study highlights
    • "400 people on waitlist" social proof

Results Week 7-8:

  • Testimonials collected: 12-15
  • Case studies created: 2-3
  • Waitlist grows: 300 → 800 (+167%)

Phase 3: Launch Prep (Days 61-90)

Goal: Prepare for launch day, build maximum momentum

Week 9-10 (Days 61-75): Content & Assets

Day 61:

  • Write launch blog post
    • Why we built this
    • What it does
    • Who it's for
    • How to get started

Day 63:

  • Create launch assets:
    • Product demo video (3-5 minutes)
    • Screenshots of key features
    • Comparison table (you vs alternatives)
    • Pricing page finalized

Day 65:

  • Prepare Product Hunt launch
    • Write tagline (60 characters)
    • Upload screenshots (5-8 images)
    • Write description (250 words)
    • Line up "hunters" to upvote
    • Schedule for Tuesday or Wednesday (best days)

Day 70:

  • Prepare social launch content
    • 5-10 pre-written tweets
    • LinkedIn launch post
    • Reddit launch posts (adapted per subreddit)

Day 75:

  • Email waitlist with launch date

Template:

Subject: [Product] launches [Date]

Hi Sarah,

You signed up for [Product] waitlist [X] weeks ago.

We launch on [Date] (mark your calendar!)

As a waitlist member, you get:
- Early access (12 hours before public)
- 50% lifetime discount
- VIP support for first 30 days

I'll email you [Date] at 6 AM GMT with access details.

See you at launch!

Max

Week 11-12 (Days 76-90): Pre-Launch Buzz

Day 76-89:

  • Daily countdown posts (last 14 days)
  • Share sneak peeks (screenshots, features)
  • Tease launch day plans
  • Run final beta tests (last chance for bugs)

Day 85:

  • Prepare launch day logistics
    • Support coverage (who's answering questions all day)
    • Server capacity (can it handle traffic spike?)
    • Payment processing (tested and working?)
    • Backup plan if something breaks

Day 89:

  • Send final reminder to waitlist

Day 90: LAUNCH DAY


Launch Day Checklist (Hour by Hour)

6:00 AM GMT:

  • Email waitlist (2,400 people) with early access

8:00 AM GMT:

  • Launch on Product Hunt
  • Post on X, LinkedIn, Reddit
  • Update homepage (remove "coming soon", add "launch today")

10:00 AM GMT:

  • Monitor signups, respond to support questions
  • Engage on Product Hunt comments
  • Share early signup numbers ("200 signups in first 2 hours!")

12:00 PM GMT:

  • Second wave: Email personal network, post in communities

3:00 PM GMT:

  • Monitor Product Hunt ranking, rally supporters if needed

6:00 PM GMT:

  • Post end-of-day update
    • Signup numbers
    • Feedback highlights
    • Thank supporters

9:00 PM GMT:

  • Final Product Hunt push (late US timezone)

Results:

  • Waitlist emails sent: 2,400
  • Early access signups: 840 (35% conversion)
  • Product Hunt position: #3 Product of the Day
  • Additional PH signups: 480
  • Total day 1: 1,320 signups

Want AI to manage your product launch across all channels? Athenic automates launch content, coordinates multi-channel posting, and monitors real-time performance -ensuring nothing falls through the cracks on launch day. See how it works →

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Frequently Asked Questions

Q: How do I get executive buy-in for AI initiatives?

Focus on business outcomes, not technology. Present clear ROI projections based on pilot results, address security and compliance concerns proactively, and propose a phased approach that limits initial risk while demonstrating value.

Q: What's the biggest risk in enterprise AI adoption?

The biggest risk isn't technology failure - it's change management failure. AI projects that don't invest in training, process redesign, and stakeholder communication rarely achieve their potential ROI.

Q: What governance frameworks work best for enterprise AI?

Successful frameworks include clear approval processes for different risk levels, defined escalation paths, audit trails for all automated actions, and regular review cycles for model performance and drift.