Understand if your launch actually worked
Analyze your launch performance across traffic, conversion, activation, and channels. See what worked and what to fix next.
Launches look exciting. This tool tells you whether they actually produced real users.
Your launch data
Enter your numbers from the launch period. Rough estimates are fine.
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Traffic by source
Approximate visitors from each channel during the launch
Funnel numbers
Total numbers across all sources during the launch period
Common launch patterns
Here is what different launch outcomes actually look like.
Product Hunt #5, 4,000 visitors, 60 signups, 8 activated
Pattern
Attention without conversion
Product Hunt sends curious browsers, not buyers. A 1.5% conversion rate and 13% activation means the launch created visibility but very few real users.
Reddit post went viral, 3,000 clicks, 25 signups
Pattern
Low-intent traffic spike
Reddit traffic is structurally low intent. A 0.8% conversion rate is typical. The post worked for awareness but not acquisition.
Twitter thread, 400 clicks, 24 signups, 14 activated
Pattern
Small but high quality
6% conversion and 58% activation from a small audience. This channel reaches people who have the problem your product solves. Double down here.
Multi-channel push, 3,200 visitors, good conversion, weak activation
Pattern
Acquisition worked, onboarding did not
The launch brought interested people, but most of them did not reach the product's core value. Fix onboarding before the next push.
Launch with 2,500 visitors, signups continued for 2 weeks after
Pattern
Sustainable awareness
When signups continue after the spike fades, the launch created real word-of-mouth or search interest. This is the best-case scenario for a launch.
Great activation during launch week, but it dropped the following week
Pattern
Launch users were better than post-launch users
The early adopters who found you during launch week were high intent. The later visitors from residual traffic were lower quality. This is normal but worth tracking.
Why most launches look successful but are not
A traffic spike feels like a win. The chart goes up. The notifications pile up. But traffic is an input, not an outcome. If 4,000 people visit and 60 sign up, the launch produced a 1.5% conversion rate. If only 8 of those 60 activated, the launch produced 8 real users from 4,000 visitors. That is a 0.2% efficiency rate. Our case study on traffic going up while signups dropped shows this pattern in detail.
How to evaluate a product launch
Measure success by what happens to users, not what happens to traffic. A launch that produces 15 signups with 70% activation is stronger than one that drives 5,000 visitors and 30 signups with 10% activation. The first scenario has real users. The second has abandoned accounts. The launch measurement framework covers how to define success before you launch.
What to fix after a launch
The launch is a data collection event. Use it to answer three questions: which source converted best, what was the activation rate, and where did the funnel break. Then fix the weakest link before launching again. The post-launch guide walks through this process step by step.
Traffic quality matters more than traffic volume
A source that sends 200 visitors at 6% conversion is more valuable than one that sends 4,000 at 0.3%. The Traffic Quality Checker helps you compare sources by what actually matters. And the Conversion Drop Analyzer helps you understand why conversion fell if the launch brought a mix of traffic types.
Keep reading
Explore related tools, guides, and case studies.
A launch is only useful if it teaches you what to fix
Muro helps founders see past the spike and understand what actually matters for growth.
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