Product · After Launch
Launch is the start of learning. Here are the numbers that matter in the first 90 days and how to set them up.
Launch day feels like the finish line. It is actually the start of the most useful learning period your product will ever have. For the first time, real people are using what you built, and their behaviour will tell you more than any amount of planning.
But only if you are measuring the right things. This guide covers the metrics that matter in the first 90 days, how to set them up and how to avoid drowning in numbers that do not change decisions.
Measure behaviour, not just sign-ups
Sign-ups look good on a chart but say little. A person who signs up and never returns is not a customer. The questions that matter are whether people reach value quickly, whether they come back and whether they pay.
The essential metrics
| Metric | The question it answers | How to think about it |
|---|---|---|
| Activation | Did new users reach the point where the product is useful? | Define the key first action, such as sending a first request, then track how many complete it |
| Time to value | How long does it take to get there? | Shorter is better. Long gaps lose users |
| Retention | Do users come back? | Track what share of a group returns after one week, one month and so on |
| Core feature usage | Are people using what the product is for? | Watch the one or two actions that define success |
| Conversion | Do free users or trials become paying customers? | Track by source and by plan |
| Churn | Who leaves, and why? | Ask them. Cancellation reasons are gold |
| Support requests | Where do people get stuck? | Group by topic. Repeated questions signal design problems |
Set it up before launch
- Decide the key actions that represent success for a user.
- Record those events in the app, so you can count them. Planning this early is far easier than retrofitting.
- Build a simple admin view showing sign-ups, activation, active users and payments.
- Ask users directly with a short feedback prompt after key moments.
- Review weekly at a fixed time with the people who can act on it.
The first 90 days, in three phases
Days 1 to 30: Watch and fix
Focus on whether people can get started. Watch where they drop off, fix confusing steps and answer every support message quickly. Talk to as many early users as you can.
Days 31 to 60: Improve activation and retention
Use what you learned to smooth the path to the first win. Add small prompts, clearer wording and the one missing feature people keep asking for, rather than ten new ones.
Days 61 to 90: Test the business
Look at who pays, who stays and what they have in common. Check that your pricing and your target customer are right. Decide what to double down on and what to drop.
Qualitative feedback matters too
Numbers show what happened. Conversations show why. Pair every metric with a few user conversations, and keep a running list of requests, complaints and surprises.
Mistakes to avoid
- Tracking dozens of numbers and acting on none.
- Adding features in response to every request.
- Ignoring the users who leave quietly.
- Comparing yourself to large companies’ benchmarks instead of your own trend.
- Forgetting privacy: collect only what you need, and be clear with users. See our security guide.
Build measurement into the plan
Events, admin views and feedback prompts are part of a good first release, not extras. They are easiest to include when scope is planned up front. Our Discovery Sprint covers them as part of the PRD: $345, delivered in 24 hours and credited toward the build. See what Bubble.io maintenance involves for life after launch.
Frequently asked questions
Do I need a special analytics tool?
Not always. A simple admin view and a few recorded events can answer most early questions. Add tools when you have specific needs.
How many users do I need for useful data?
Even a few dozen engaged users teach a lot, especially when you talk to them.
What is a good retention rate?
It depends on the product and market. Track your own trend and aim to improve it.
Should I change the product quickly based on early data?
Fix clear problems quickly. For bigger changes, look for patterns across several users first.
Planning a launch?
Email us what your product does and what success looks like. We will help you build the measurement in from the start.
Athar Ahmad, Certified Bubble.io Developer and Tech Architect, Simple Automation Solutions
