Analytics & Tracking

Yes. Every signup captures the page URL, referrer, and any UTM parameters in the link they clicked (utm_source, utm_medium, utm_campaign). View the breakdown under Waitlist → Analytics → Sources.

This is how you tell whether your Twitter post drove more signups than your IndieHackers thread — and whether your paid Reddit ads are converting cheaper than your Product Hunt teaser. Tag every share link with UTMs (we recommend a free Notion table to track them). Export the raw data via CSV for deeper attribution.

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Yes. The widget fires a standard submit event on successful signup that GA4 picks up automatically when GA4 is loaded on the page. You can mark it as a Key event in GA4 → Admin → Events to track waitlist conversion rate alongside other goals.

For more granular tracking (signup source, position bucket, referral count), use the LaunchList webhook to push events into GA4's Measurement Protocol or BigQuery. The hosted page also accepts a custom GA4 tag in Settings → Tracking.

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Yes. If you have Meta Pixel or TikTok Pixel installed on your site, the widget submit event will fire as a Lead (Meta) or Subscribe (TikTok) automatically — provided the pixel is loaded before the widget script.

For the hosted page, paste your pixel ID into Settings → Tracking → Conversion pixels and we'll inject the snippet for you. This is the cleanest way to attribute waitlist signups to paid Meta and TikTok ads, and to feed conversion data back to the platform's optimization algorithms.

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Conversion rate = signups ÷ unique landing-page visitors. The hosted page tracks this for you under Analytics → Conversion. For embedded widgets, you'll combine your site analytics (page views) with LaunchList signup count.

Healthy benchmarks: a polished waitlist landing page typically converts at 15–35% for warm traffic and 3–8% for cold paid. If you are below 5%, the page copy or value prop usually needs work — read Why is my waitlist not converting and benchmark yourself with the Waitlist benchmark tool.

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LaunchList does not have a built-in A/B testing engine, but you can run experiments two ways:

• Multiple waitlists, same brand — create two projects with different positioning, split traffic 50/50 with a tool like PostHog Experiments or Google Optimize, and compare conversion. Each project keeps its own queue.
• External tools on the embedded widget — Vercel A/B, Convert.com, VWO, and PostHog can swap copy / hero images around the LaunchList widget without touching the form itself.

For the test variables that matter most (headline, hero image, reward copy, CTA button), see Why is my waitlist not converting.

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Yes. Waitlist → Analytics → Referrals breaks down:

• Top referrers by referral count
• % of signups that came through a referral link vs. organic
• Average referrals per user (which feeds your viral coefficient)
• Conversion rate of referral links vs. cold traffic

Pair it with the Waitlist growth simulator to forecast how the current k-factor compounds over the days remaining until launch.

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