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Referrals & Viral Growth

Robinhood-style queue position, Dropbox-style rewards, leaderboards, viral coefficient, and referral fraud prevention.

10 answers · Updated June 2026

How do referrals work in LaunchList?

Every signup gets a unique referral link the moment they join your waitlist. When a friend signs up through that link, the referrer's queue position improves and their referral count goes up.

The result is a built-in viral loop: each new signup is also a potential acquisition channel. The mechanic is opt-in for users (they decide to share) but rewarded automatically (the system tracks attribution and updates the leaderboard in real time). For the deeper theory, read The viral loop guide and the Dropbox referral case study.

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Is there a referral leaderboard?

Yes. Every waitlist gets an automatic public leaderboard at getlaunchlist.com/w/e/{your-public-key}/leaderboard showing top referrers by referral count and queue position. You can disable it from Waitlist → Settings if you would rather keep the list private.

A visible leaderboard is one of the strongest sharing motivators — competitors at positions 11–20 push hard to crack the top 10. This is the Robinhood-style mechanic that drove millions of signups for fintech, DTC, and SaaS launches.

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Can people skip the line by referring friends?

Yes — that is the headline mechanic. Each successful referral moves the referrer up in the queue by a configurable amount (the default is 10 positions per referral, but you can tune it).

The thank-you page reads: "You are #847 in line. Refer 3 friends to skip ahead." Sharing the link to socials, friends, or a Slack group costs the user nothing and visibly rewards them. This is the engine behind the famous Dropbox 3,900% referral growth — and it works for any pre-launch product, not just consumer apps.

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Does LaunchList offer Dropbox-style or Robinhood-style referral mechanics?

Both. LaunchList ships the two patterns that defined modern viral waitlists:

  • Dropbox-style rewards: signups earn a tangible reward (extra storage, free-tier unlocks, founding-member badges, swag) for each referral milestone — see Rewards & milestones.
  • Robinhood-style queue position: every signup sees their place in line and can move up by referring friends — the loop that turned Robinhood from a landing page into 1 million signups in a year.

You can run either pattern, or both at once. Most modern launches use the Robinhood mechanic by default and layer on a single milestone reward (e.g. "refer 5 friends → lifetime founding-member discount").

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Can I set custom referral rewards?

Yes. The reward is a single title + description pair you configure on the thank-you page (e.g. "Refer 3 friends → Skip the line and get founding-member pricing for life"). It is intentionally simple — one clear promise converts better than tiered fine print.

For ideas on what to offer, read Rewards & milestones. The most effective rewards activate users inside your product (free-tier unlock, extra seats, premium feature) rather than gift cards — they double as onboarding instead of leaking the user back out. You can also estimate the right reward size with the Referral reward calculator.

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How do I prevent referral fraud?

LaunchList runs a multi-layer defense against self-referrals and bot abuse:

  • IP reputation flags signups from known fraud / VPN ranges.
  • Browser fingerprinting detects the same device signing up multiple times under different emails.
  • Disposable-email blocking rejects throwaway addresses (10minutemail and friends).
  • Email verification (optional) requires confirming the inbox before the referral counts.
  • Rate limiting caps signups per IP / window so a script cannot flood your queue.

Together these block the majority of fraudulent referrals before they touch your dashboard. See spam protection FAQs for the full breakdown.

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What is a viral coefficient and how do I calculate mine?

The viral coefficient (k-factor) is the average number of new signups each existing user generates through referrals. A k-factor above 1.0 means the list grows on its own — every signup brings in more than one signup.

Formula: k = (% of users who share) × (avg invites sent) × (% of invites that convert). For pre-launch waitlists, k between 0.3 and 0.7 is healthy; k > 1.0 is rare and usually a sign of unusual product-market fit (or a strong reward).

Use the Waitlist growth simulator to model your own k-factor and forecast list size. For the underlying math and case studies, read The viral loop guide.

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Can each signup see their queue position in real time?

Yes. The default thank-you screen displays the user's exact position the moment they sign up (e.g. "You are #2,341 in line") along with their referral link and current referral count. The number updates live as more people sign up — and goes down (better position) as their referrals come in.

This visible counter is the single biggest driver of sharing behavior. You can disable it under Settings → Thank-you page if you prefer, but on a referral-driven launch we recommend keeping it on.

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Can I show "position inflation" to make the waitlist feel bigger?

Yes. Position inflation lets you start the queue at, say, position 1,000 instead of 1, so the first 100 real signups land at positions 1,001–1,100. It is a transparency tradeoff used by many high-profile launches to avoid the "you are #3" problem on day one.

Configure it under Waitlist → Settings → Position offset. We recommend keeping the offset modest (under 1,000) and dropping it once you have enough real signups — exaggerated inflation backfires when users notice. The mechanic is built in, optional, and off by default.

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How does LaunchList attribute referrals to the right person?

Each signup has a unique 6–8 character referral code appended to their share URL (yoursite.com/?ref=ABC123). When a friend lands on the page, LaunchList stores the code in a long-lived cookie. If the friend signs up — even days later, on the same device — the referral is credited automatically.

Attribution survives across pages on the same domain and across the embedded widget and hosted page. You can see who referred whom under Waitlist → Submissions → Referrer column and export the full attribution graph to CSV.

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