Product Launch Analytics: What to Track and When

Launch day is the most information-dense day your product will ever have. You will never again have so many first-time visitors arriving with no prior context. Your analytics captures that moment — if you have set it up correctly.

Pre-launch setup

Do this before you announce:

Install analytics on your landing page and product app. If they are separate, both need the tracking snippet.
Set up one conversion goal for your primary action — signup, waitlist join, or whatever your launch CTA is.
Test the goal: go through the conversion flow yourself and confirm the goal fires in your dashboard.
Set up UTM parameters for every link in your announcement posts. If you are posting on HN, Twitter, and Product Hunt, each link should have distinct UTMs so you can compare which source drove more signups.
Have your dashboard open and ready.

What to watch on launch day

Real-time visitor count — This tells you whether your announcement is getting traction as it spreads. A rising number confirms the launch is alive.

Top referrer — Within the first hour, you will know which announcement drove the most traffic. This is the signal to amplify.

Conversion goal count — How many people are converting? Compare this to total visitors to get a rough conversion rate.

Top pages — What are people looking at after they land? If they are all going to /pricing and then leaving, that tells you something. If they are going to /docs and staying, that is a strong signal.

Real-time monitoring

Keep your Antlytics dashboard open during the launch. The real-time visitor count and the referrer breakdown update as traffic arrives.

The most useful launch-day practice: open the dashboard alongside your announcement thread. When a specific comment or share drives a traffic spike, you will see the referrer and the spike at the same time.

Post-launch analysis

After the launch day dust settles (usually 48–72 hours), look at:

Source attribution — Which platform sent the most visitors? Which drove the most conversions? These are often different — a high-traffic source with low conversion is not as valuable as a moderate-traffic source with high conversion.

Geographic spread — Where did visitors come from? This helps plan timezone-sensitive follow-up content.

Top pages — Which content held people's attention? If a specific feature page saw significantly more traffic than others, that tells you what resonated in your messaging.

Bounce rate on the landing page — A high bounce rate on your launch day (visitors arrive and immediately leave) may indicate a mismatch between your announcement copy and your landing page.

Sharing results

After a successful launch, your analytics data is content. Share the numbers: total visitors, conversion count, top traffic sources. This is build-in-public material that shows the launch was real and public.

See building in public with analytics for how to share analytics in a way that resonates.

FAQ

What if I forget to install analytics before launch? Install it immediately. You will miss the first wave of traffic, but you will capture everything after.

Should I track my own visits during launch? Your own visits will show in analytics. If you are testing extensively, use a separate site (staging) for testing and only run the live analytics on your production site.

How long should I watch analytics closely after launch? The first 48–72 hours are the most signal-rich. After that, check daily for a week, then switch back to weekly.