Marketplace Launch skill

Marketplace Launch is an agent skill for AI coding assistants (Claude Code, OpenClaw, Cursor, Codex). Launch and rank a SaaS/app/tool on marketplaces, review sites, and directories — Product Hunt, AppSumo, G2, Capterra, indie/AI directories — for visibility, reviews, and acquisition. Use when running a Product Hunt launch, an AppSumo lifetime deal, a G2/Capterra review campaign, a directory push, or a multi-channel launch calendar. Install with: npx skills-ws install marketplace-launch.

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Marketplace Launch

Launch products across marketplaces and directories for maximum visibility, backlinks, and customer acquisition.

1. Product Hunt Launch Playbook

Pre-Launch (2-4 Weeks Before)

Hunter selection:

  • Top hunters get more visibility but are flooded with requests
  • Self-hunting is fine now — PH algorithm no longer heavily favors known hunters
  • If using a hunter: reach out 3-4 weeks early with a personal pitch, not a template
  • Provide them: one-liner, tagline, description, media assets, your availability on launch day

Asset preparation checklist (field limits change — confirm against the live submit form / Product Hunt's launch guide before finalizing):

  • Tagline: ~60 characters, benefit-focused (not feature-focused)
  • Description: up to ~500 characters — lead with the outcome, then the differentiator
  • Thumbnail: 240×240px logo/GIF, under ~3MB, clear on white; this is the icon people see in the feed — make value legible in 3 seconds
  • Gallery: 2+ images required, aim for 4-6 at 1270×760px (first image is the most important — treat it as the hero)
  • Video: YouTube link only (PH does not host uploads). A 30-90s demo lifts engagement; embed the YouTube URL in the video field
  • Interactive demo (optional, 2026): PH supports embedded interactive demos (e.g. via tools like Arcade/Storylane) — strong for letting people try before they leave the page
  • Launch tags/topics: pick up to 3 relevant topics. In 2026 the high-traffic dev/SaaS topics include AI, AI Agents, Developer Tools, Productivity, and "vibe coding"-adjacent tags — choose the topic where you can realistically rank, not just the biggest
  • Launch URL: use your clean canonical homepage. Do NOT use a shortened or UTM-tagged link in the launch URL field — PH strips/penalizes these and it breaks the redirect. Track attribution via a referrer-based view or a dedicated /ph landing route instead
  • Account: launch from a personal maker account. Company/brand accounts as the submitter are not allowed — add the company as the product's maker/team
  • Maker comment: draft your first comment (see launch day section)

Community warm-up:

  • Build a launch list: email subscribers, Twitter followers, community members
  • Aim for 200+ people who'll show up on launch day
  • Notify them 1 week before: "We're launching on PH next [day]. Here's what we built and why."
  • Reminder the night before: "We go live at 12:01 AM PT. Here's the link."
  • Do NOT ask for upvotes — ask them to "check it out and share feedback"
  • Engage on PH discussions 2-3 weeks before (build profile karma)

Teaser campaign (optional but effective):

  • PH "Upcoming" page: list your product, collect followers
  • Twitter/LinkedIn teaser posts: "Building something new. Launching on PH [date]."
  • Behind-the-scenes content: share the build process, challenges, decisions

Launch Day

Timing:

  • The leaderboard day runs on Pacific Time and resets at 12:00 AM PT; a launch competes against everything posted in that same PT day
  • Posting at/near 12:01 AM PT maximizes hours on the board, but PH itself says timing should match your goals and team constraints — it is not mandatory
  • For non-US teams: midnight PT is brutal. Pragmatic options: (a) schedule the launch in advance so it goes live at 12:01 AM PT without you staying up, then be active during your own working hours; (b) deliberately pick a slower PT day where ranking #1-3 is achievable in your awake window. Sustained maker presence across the day matters more than the exact minute you post
  • Whatever you choose, block 8-12 focused hours to reply to comments while the post is live

First maker comment (post immediately after launch):

Hey PH! 👋

I'm [Name], [role] at [Product]. Here's the backstory:

[2-3 sentences: what problem you noticed, why existing solutions fail]

So we built [Product] — [one sentence value prop].

Here's what makes it different:
• [Differentiator 1]
• [Differentiator 2]
• [Differentiator 3]

[Special offer for PH community — discount, extended trial, etc.]

Would love your feedback. I'm here all day answering questions! 🙏

Engagement strategy:

  • Reply to EVERY comment within 15 minutes
  • Be genuine, helpful, and transparent (PH community values authenticity)
  • Share additional context, roadmap items, and honest limitations
  • Post 2-3 additional maker comments throughout the day with updates
  • Thank supporters publicly

Upvote ethics:

  • NEVER buy upvotes or use upvote services (PH detects and penalizes)
  • NEVER directly ask for upvotes — ask people to "check it out"
  • Don't send direct links to the upvote button
  • Don't use VPNs or fake accounts
  • PH penalizes products that get suspicious vote patterns
  • Organic engagement (comments, reviews) matters more than raw upvotes

Social amplification on launch day:

  • Tweet at launch with the PH link
  • LinkedIn post: personal story angle, not just "we launched"
  • Email your launch list with the link
  • Post in relevant Slack/Discord communities (where allowed)
  • Ask team members to share from personal accounts (not just company)

Post-Launch

Follow-up (days 1-7):

  • Thank everyone who commented and supported (DMs and public)
  • Publish a launch retrospective blog post with real numbers
  • Share results on social: "We hit #X on Product Hunt. Here's what we learned."
  • Respond to all PH reviews within 48 hours
  • Add PH badge to your website (social proof)

Content repurposing:

  • Blog post: "How we launched on Product Hunt and got X upvotes"
  • Twitter thread: launch lessons and tactics
  • LinkedIn post: the founder story angle
  • Newsletter: share with your subscriber base
  • Case study: if results are strong, use for sales

Product Hunt Orbit Awards:

  • PH sunset the annual Golden Kitty Awards and replaced them with the quarterly Orbit Awards (traction-focused, first edition December 2025)
  • Winners are selected from verified reviews, with extra weight on detailed reviews and founder reviews, so there is no vote campaign to run
  • Categories are dynamic and follow emerging spaces (AI dictation, vibecoding tools, coding agents, etc.), refreshed quarterly
  • Practical play: keep a steady stream of detailed verified reviews flowing to your PH product page all year; that is what feeds Orbit eligibility
  • Being Product of the Day/Week/Month still helps visibility; add any earned award badge to your site

2. AppSumo Launch

Deal Structure

Lifetime deal (LTD) tiers — standard model:

TierPriceWhat's includedCode stacking
Tier 1$49Single user, core features1 code
Tier 2$993 users, advanced features2 codes
Tier 3$14910 users, all features3 codes

Pricing strategy:

  • Tier 1 should be roughly 1-2x your monthly price (perceived 10-20x value)
  • Include features from your mid/pro plan (not just basic)
  • Cap heavy usage features (API calls, storage, team seats) to manage costs
  • Set a clear "LTD includes" scope to avoid future feature expectation creep

Revenue split — do not assume a fixed number:

  • The "AppSumo always takes 70%" framing is a myth AppSumo itself pushes back on. Revenue share is set per deal and varies by program (Select vs Marketplace), negotiated terms, deal performance, and refund volume — get YOUR number in writing before signing
  • Model the deal with the actual share in your contract, not a rule of thumb. Worked example, share assumed at X% to AppSumo: your_revenue = codes_sold × avg_price × (1 − X). At 2,000 codes × $49 avg, that's ~$98K gross; your take depends entirely on X and on refunds
  • Refunds eat into this — AppSumo's standard buyer refund window (often ~60 days) means a chunk of "sold" codes can reverse. Budget for it
  • Volume is the point of an LTD, not margin: you're buying users, reviews, and cash now in exchange for giving up recurring revenue from those seats forever

Due-diligence questions before signing (get answers in writing):

  • Program & share: Select or Marketplace? What is the exact revenue-share % to AppSumo, and does it change after the first promotion?
  • Refund window: how long, and who eats refunded codes' costs (hosting/support already consumed)?
  • Feature entitlement: exactly which features/limits are locked to LTD buyers "for life" — and what can you ethically gate to future paid tiers?
  • Support load: who handles support volume, and what's the expected ticket spike? LTD audiences are demanding
  • Exclusivity & duration: any exclusivity clause, deal length, code stacking rules, and ability to sunset the deal later
  • Unit economics: model worst-case LTD margin (heavy usage tier maxed out) to confirm you don't lose money per redeemed code

Listing Optimization

  • Title: Clear benefit, not just product name
  • Hero image: Show the product in action (not abstract graphics)
  • Video: 2-3 min demo covering top 3 use cases
  • Description: Problem → solution → proof → deal details → FAQ
  • Bullet points: 5-7 key features with benefit-oriented language
  • Comparison: Before/after or vs. alternatives table

Review Management & Taco Rewards

  • AppSumo uses "Taco" ratings (1-5 tacos)
  • Reviews heavily influence future buyers — aim for 4.5+ average
  • Respond to every review, especially negative ones, within 24 hours
  • For negative reviews: apologize, offer direct support, update when resolved
  • Happy customers: ask them to leave a review in your follow-up email
  • Taco average affects your placement on AppSumo's featured page

Post-Deal Customer Retention

  • LTD customers are high-churn risk (bought on deal, not on value)
  • Onboard them aggressively: welcome email sequence, setup wizard
  • Set expectations early: what's included in LTD vs. what's future paid
  • Build a community (Facebook group or Discord) for LTD users
  • Convert LTD users to paid: offer annual upgrade with additional features
  • Track LTD customer NPS separately from regular customers

3. G2 / Capterra / TrustRadius

Profile Optimization

G2:

  • Complete every profile section (description, media, integrations, pricing)
  • Add 10+ screenshots and 1-2 videos
  • List all relevant categories (primary + secondary)
  • Add comparison alternatives (helps you show up in vs. pages)
  • Update quarterly with new features and screenshots

Capterra:

  • Detailed product description with keyword optimization
  • Feature list matching Capterra's taxonomy
  • Accurate pricing (buyers filter by price)
  • High-res screenshots of key workflows

TrustRadius:

  • Vendor profile with complete product information
  • TrustMap positioning (based on reviews)
  • Buyer intent data (TrustRadius shares this with vendors)

Optimizing for 2026 Buyer Intent & AI-Answer Visibility

Review sites are now both a buyer-intent funnel and a training/citation source for AI buyer assistants (G2's own AI, plus ChatGPT/Perplexity/Gemini that cite G2/Capterra/TrustRadius). Optimize for being quoted, not just listed:

  • Review recency & velocity: most platforms weight recent reviews heavily, and AI summaries pull from the latest ones. A steady trickle (5-10/month) beats a one-time burst that goes stale. Keep at least a few reviews from the last 90 days at all times.
  • Specific, structured reviews: coach reviewers to name the use case, the alternative they switched from, a quantified result, and one honest drawback. These get surfaced in generated pros/cons summaries and "what users say" snippets. Vague "great product!" reviews are filtered out of summaries.
  • Comparison & alternatives coverage: ensure your profile is attached to the right "vs." and "alternatives to [competitor]" pages — these are exactly the queries buyers (and their AI assistants) run. Accurate feature checklists feed the auto-generated comparison tables.
  • Category taxonomy hygiene: be in the precise sub-categories buyers filter by. AI assistants map a need ("HIPAA-compliant scheduling for clinics") to category + feature tags, so missing tags = invisible to that query.
  • Citation-friendly profile content: complete pricing, integrations, supported platforms, security/compliance (SOC 2, GDPR, HIPAA), and a crisp one-line positioning statement. These structured fields are what AI answers extract and cite — gaps mean the assistant says "pricing not listed" or skips you.
  • Respond to reviews: vendor responses are indexed and signal active support; they also give the model your framing on criticism.

Review Generation Campaigns (Ethical)

Email campaign template (send to happy customers):

Subject: Quick favor — 2 min review on G2?

Hi [Name],

You mentioned [specific positive result] with [Product].
Would you mind sharing that experience on G2?

It takes ~2 minutes: [direct review link]

Honest feedback only — good or bad, we genuinely want it.

[If using an incentive, use the platform's own incentive program where possible,
and disclose it: "G2 will send a $X gift card for completing a review — this is
for an honest review, regardless of rating."]

[Signature]

Do not route this only to fans, and do not promise more for a higher score — that's review gating and is against platform + FTC rules.

Rules (review solicitation — legal/ethical guardrails):

  • Reach out broadly to real users; do NOT screen so that only happy customers can review (review gating). It's fine to time outreach to engaged users (active in-app, support CSAT 4+), but the ask must be open to honest feedback of any rating. Gating to suppress negatives violates platform policy and FTC guidance
  • Never condition an incentive on a positive (or 5-star) review, and never offer more for a higher rating. Incentivize the act of leaving an honest review only
  • Prefer platform-run incentive programs over DIY gift cards. G2's own incentivized-review program (G2-managed gift cards) is the safe path: G2 controls the reward, moderates the review, and labels it as incentivized. Incentive eligibility, amount, payout method, and geography are set and can change by G2 — don't hardcode a "$25 max" rule; confirm current terms in your G2 vendor dashboard. Capterra/Gartner Digital Markets runs its own visa-gift-card incentive program with similar moderation; TrustRadius likewise manages incentives
  • Disclose any incentive. If you run your own thank-you (swag, charity donation), reviewers should state they were incentivized, and you must still accept negative reviews. This is an FTC endorsement-disclosure requirement, not just a platform rule
  • Don't post reviews from employees, family, or yourself, and don't bulk-ask the same week (moderation flags spikes). Space requests out
  • Target: ~10 reviews/month until you hit 50+, then ~5/month for freshness (recency is itself a ranking and trust signal)

Review generation funnel:

  1. Identify happy customers (NPS 8+, CSAT 4+, active users)
  2. Personal email from their account manager (not marketing blast)
  3. Follow up once after 5 days if no review
  4. Thank them personally when review appears
  5. Track who's reviewed where to avoid duplicate asks

Category Selection Strategy

  • Primary category: Where your closest competitors are (even if it's competitive)
  • Secondary categories: Adjacent categories with less competition
  • Check each category: how many competitors, review volume, leader quadrant positions
  • Smaller categories = easier to become a "Leader" badge holder
  • Leader/High Performer badges are powerful sales tools (add to website, email signatures, sales decks)

Comparison Page Optimization

  • G2 auto-generates comparison pages ("Product A vs Product B")
  • You can influence these with: more reviews, complete profile, feature checklist accuracy
  • Create your own comparison pages on your website targeting "[Competitor] vs [You]" keywords
  • Link to your G2 profile from comparison pages for authority

4. Indie Directories & Niche Listings

Directory List

All numbers below are unverified as of Jun 2026 and drift constantly. Domain Rating (DR/DA) moves, listing fees change, and link treatment (dofollow vs nofollow/ugc/redirect) is frequently changed by the platform. Treat this as a starting shortlist, not a fact sheet — run the verification workflow below before submitting, and re-check anything load-bearing to your SEO plan with a live SEO tool (Ahrefs/Moz) and your own eyes on the rendered profile.

High-priority shortlist (verify each before submitting):

DirectoryAuthority (≈, verify)Cost (verify)Notes
Product Huntvery highFreeHuge launch-day traffic; profile links are often rel="nofollow"/ugc — value is referral + brand, not raw link juice
AlternativeTohighFreeStrong for "alternative to X" intent
G2very highFree (paid tiers exist)Buyer-intent + AI-citation value (see §3)
Capterra / GetAppvery highFree (PPC options)Gartner Digital Markets network
SaaSHubmediumFree
BetaListmediumFree or paid skip-the-linePre/early-launch audience
IndieHackershighFreeCommunity post, not a passive listing
Hacker News (Show HN)very highFreeLinks typically nofollow; value is the audience, not SEO
dev.tohighFreeArticle links commonly nofollow; value is reach

Medium-priority (verify each): ToolFinder, SaaSWorthy, Crozdesk, SourceForge, Slant, StackShare, There's An AI For That, Futurepedia. Costs and link treatment vary and several offer paid "featured" placement — confirm before paying.

Niche directories (submit based on your category):

  • AI tools: There's An AI For That, Futurepedia, AI Tool Directory
  • Developer tools: StackShare, LibHunt, Awesome lists (GitHub)
  • No-code: NoCodeList, NocodeHQ (this niche churns fast: confirm each site is still live and still accepts listings before spending time on it)
  • Remote work: RemoteTools, Remote.tools
  • Startups: Crunchbase, AngelList, StartupBase

Submission Template

Product name: [Name]
Tagline: [One-line benefit statement, under 60 chars]
URL: https://[product].com
Description (short): [150-200 chars — what it does + for whom]
Description (long): [500-800 chars — problem, solution, key features, differentiator]
Category: [Primary category]
Pricing: [Free/Freemium/Paid — starting price]
Alternative to: [Competitor 1], [Competitor 2]
Platforms: [Web, iOS, Android, Mac, Windows, Linux]
Screenshots: [3-5 key workflow screenshots]
Logo: [Square logo, 512×512 minimum]
Founder: [Name, title]
Launch date: [Date]

Directory Submission: Verification Workflow (do this per directory, before submitting)

Don't assume SEO value — most large marketplaces use nofollow/ugc links, JS-rendered or redirected profile links, or gate the listing behind moderation. A directory can still be worth it for referral traffic and brand, but verify before you spend time or money:

  1. Link treatment: open a live listing on that directory, View Source, and check the outbound link to the vendor site. Is it dofollow, nofollow, ugc, a /redirect?url= wrapper, or JS-injected (won't pass equity)? Don't trust a 2024 blog claim.
  2. Indexability: is the profile page itself indexed? Search site:directory.com "your competitor". If their profiles aren't in Google's index, yours won't be either — SEO value ≈ 0.
  3. Cost & ROI: what's the real fee today (free / one-time / "featured" upsell)? For any paid directory, estimate referral value (their traffic × plausible CTR to you × your conversion) before paying. Paid "featured" slots on low-traffic AI-tool directories are usually poor ROI.
  4. Category relevance: is there a category/tag that actually matches you and has real traffic? An off-category listing is dead weight.
  5. Moderation requirements: manual review? Required fields, screenshots, founder verification, waiting period? Note turnaround so it fits your launch calendar.
  6. Referral value, not just links: the durable wins are (a) referral traffic from category pages, (b) "alternative to [competitor]" pages that capture competitor intent, and (c) brand presence. Treat any dofollow link as a bonus, not the goal.

Quality over quantity: a focused set of relevant, indexed, on-category listings beats 30 thin, duplicate submissions. Reusing the exact same description across dozens of low-quality directories creates duplicate boilerplate and adds little; vary copy and prioritize directories your buyers actually use. Track which listings are indexed and which actually send signups (UTMs, §6) and drop the dead ones.

5. Launch Timing & Sequencing

Recommended Sequence

WeekPlatformWhy this order
1-2Indie directories (a curated 8-15, not a spray of 30)Initial visibility + referral; quality-filter via the §4 workflow first
3BetaListEarly adopter audience, momentum
4Product HuntPeak visibility, biggest audience
5Hacker News (Show HN)Technical audience, if relevant
6-7G2/Capterra/TrustRadius profilesStart review collection
8-10AppSumo (if applicable)Revenue spike, user acquisition
11-12Review campaignsBuild social proof on G2/Capterra

Seasonal Considerations

  • Best months for PH: January-March (new year energy, high engagement), September-October (post-summer)
  • Avoid: Late December (low traffic), major holidays, big Apple/Google events
  • Best day for PH: Tuesday-Thursday (highest engagement). Avoid Friday-Sunday.
  • AppSumo: Best in Q1 and Q4 (deal-buying season)
  • G2 reviews: Best to collect in Q1/Q3 (before G2's quarterly report cycles)

Avoiding Launch Fatigue

  • Don't launch everywhere in the same week — spread over 8-12 weeks
  • Each launch should have a slightly different angle or message
  • Rotate your launch list: don't email the same supporters for every platform
  • Save your biggest push for Product Hunt (most competitive, most reward)
  • Track engagement per channel — if a community stops responding, take a break

6. Metrics & Tracking

What to Track Per Platform

PlatformKey Metrics
Product HuntUpvotes, comments, rank (#X of day), website traffic spike, signups from PH, referral traffic (30 days)
AppSumoCodes sold, revenue, refund rate, taco rating, review count, LTD-to-paid conversion
G2Review count, average rating, category rank, comparison page views, buyer intent leads
CapterraReview count, rating, clicks to website, lead form submissions
DirectoriesReferral traffic per directory, backlink status (indexed?), signup attribution

Attribution Setup

UTM convention for marketplace launches:

# Use these on links YOU control (your tweets, LinkedIn, launch email, partner posts):
https://yourproduct.com/?utm_source=producthunt&utm_medium=marketplace&utm_campaign=launch-2026-q1
https://yourproduct.com/?utm_source=appsumo&utm_medium=marketplace&utm_campaign=ltd-feb-2026
https://yourproduct.com/?utm_source=g2&utm_medium=review-site&utm_campaign=profile
https://yourproduct.com/?utm_source=betalist&utm_medium=directory&utm_campaign=launch-2026
https://yourproduct.com/?utm_source=saashub&utm_medium=directory&utm_campaign=listing
  • Use unique UTMs for every link you control pointing at directories/marketplaces
  • Exception: do NOT put a UTM (or shortened) URL in the Product Hunt launch URL field — keep it clean (see §1). To attribute the traffic PH sends directly, use a referrer-based GA4 segment or a dedicated /ph landing route instead
  • Track in GA4: create a "Marketplace" channel group
  • Set up conversion events: signup, trial start, purchase
  • Monitor 30-day post-launch cohort (marketplace users vs. organic)

ROI Calculation Per Channel

Channel ROI = (Revenue from channel - Cost of channel) / Cost of channel × 100

Cost includes:
- Listing fees (if any)
- Time spent preparing and managing (value your hours)
- Special discounts or deals offered
- Creative/asset production costs

Revenue includes:
- Direct signups attributed to channel (UTM)
- LTV of acquired customers (not just first purchase)
- SEO value of links — count only links you've verified as dofollow + indexed (most marketplace links are nofollow/ugc; value those as referral traffic, not link equity)
- Brand awareness (harder to quantify — use branded search volume as proxy)

Tracking dashboard (update monthly — fill in your own verified numbers):

ChannelCostUsers AcquiredPaying CustomersRevenueVerified dofollow linksROI
Product Hunt$0 + ~40h(verify; often nofollow)
AppSumorev share per contract + support h(verify)
G2$0 + ~10h(verify)
Directories (curated set)fees + ~15h(count indexed dofollow only)
BetaListfee + ~5h(verify)
Total

7. Launch Asset & Readiness QA (run the day before)

A great launch dies on a broken signup form or a 240px logo that looks like mush. Walk this list before you go live.

Creative assets (confirm exact specs against each platform's live form — see §1 for PH):

  • Logo/thumbnail exported at the platform's required size (PH thumbnail 240×240, under ~3MB), legible at small size on a white AND dark feed
  • Gallery images at correct dimensions (PH 1270×760), first/hero image carries the value prop as text-on-image (many viewers never read the description)
  • Demo video uploaded to YouTube (PH only embeds YouTube), unlisted-or-public, captioned, 30-90s, links work
  • Filenames are descriptive, not IMG_4821.png (e.g. productname-dashboard-1270x760.png) — helps your own asset hygiene and any platform that uses the filename
  • Alt text written for every gallery image (accessibility + some platforms index it)
  • Copy proofed: tagline ≤ ~60 chars, description within the platform limit (PH ~500), no typos, no broken links

Launch content drafted & scheduled:

  • First maker comment written and saved (paste-ready) — see §1
  • Launch-day social posts drafted (X/Twitter, LinkedIn) with the clean product URL
  • Email to your launch list drafted (no "please upvote" — "we're live, take a look")
  • Internal note to team with do's/don'ts (no upvote-asking, reply from personal accounts)

Attribution / UTM plan:

  • UTMs defined for every channel EXCEPT the platform field that forbids them (PH launch URL must stay clean — see §1). Use them on your own tweets/emails/landing links
  • GA4 (or your analytics) has a "Marketplace" channel grouping and conversion events (signup, trial, purchase) firing
  • A way to attribute the no-UTM PH traffic: referrer-based segment, or a dedicated /ph landing route

Product / infra readiness (the part most launches forget):

  • Signup, OAuth, and payment flows tested end-to-end on a clean browser/incognito today
  • Onboarding works for a brand-new user with zero prior context (you are about to send your worst-case cold traffic)
  • Servers/quotas can take a traffic spike; rate limits, free-tier caps, and email-sending limits checked
  • Any special launch offer (PH discount code, AppSumo entitlement) is created, tested, and not expired
  • Rollback plan: if onboarding/checkout breaks mid-launch, who is on call, how do you hotfix or feature-flag the broken step, and what's the holding message? Decide this before launch day, not at 3am PT.

Staffing:

  • Owner assigned to reply to every comment/review within ~15 min during the live window
  • Support coverage for the inbound spike (LTD/PH audiences ask a lot of questions fast)

Post-launch (day 1-30):

  • Thank supporters; respond to all reviews/comments within 48h
  • Add the platform badge to your site once earned (PH "Product of the Day", G2 Leader/High Performer)
  • Run a 30-day cohort analysis: compare marketplace-acquired users vs organic on activation %, paid conversion %, and retention/churn. LTD and deal-site cohorts typically convert and retain worse — measure it so you know the channel's real LTV, not vanity signup counts
  • Publish a retrospective with real numbers (great content + credibility), and drop channels that didn't pay off

Related skills: for the overall go-to-market and MVP readiness see mvp-launcher; for ongoing acquisition loops see product-led-growth; for press/founder outreach around the launch see pr-media-outreach; for ranking the resulting pages (incl. AI-answer/GEO visibility) see seo-geo; for outbound/partnerships see business-development.