Most early-stage teams track 20 metrics and make decisions from none of them. The north star metric fixes that — but only if you choose it correctly.
By Matthis Duarte — Senior SEO professional and growth strategist, 12 years experience
There’s a common trap that founders fall into in the first year of building. The dashboard is full. Revenue, signups, page views, churn rate, activation rate, NPS, MRR, session duration — all of it tracked, all of it discussed in weekly meetings, none of it actually driving decisions.
When everything is a priority, nothing is.
The north star metric is the antidote. It’s a single number that captures the core value your product delivers to customers — and acts as the leading indicator of long-term, sustainable growth. Not a vanity metric. Not revenue. The one number that, if it grows consistently, tells you that real value is being created for real people.
Popularised by Sean Ellis — the same person who coined “growth hacking” — the north star metric has become one of the most important strategic tools in modern startup growth. And one of the most misunderstood.
Why revenue is the wrong north star
The most common mistake founders make is choosing revenue as their north star metric. It feels logical. Revenue is what keeps the business alive. But revenue is a lagging indicator — it tells you what already happened, not what’s about to happen.
A north star metric should be a leading indicator. It should tell you, right now, whether your customers are experiencing value. If they are, revenue follows. If they’re not, no amount of top-of-funnel activity will save you — you’ll just be filling a leaky bucket.
“The north star metric is really trying to quantify the point where customers experience the value of your product. If everything you’re doing is trying to expand that, you’ll be in good shape for long-term growth.” — Sean Ellis
Revenue also fails as a north star because it’s not actionable at the team level. A product engineer can’t wake up and ask “what can I ship today to increase MRR?” But they absolutely can ask “what can I ship to increase the number of users who complete their first meaningful action this week?”
What a north star metric actually looks like
The best north star metrics share four characteristics. They measure value delivered to the customer, not internal business outputs. They are leading indicators — they move before revenue does. They are measurable in near real-time. And they create alignment across product, marketing, and growth teams because everyone understands what it means and how they influence it.
| Company | North star metric | What it measures |
|---|---|---|
| Airbnb | Nights booked | Value delivered to both guests and hosts |
| Spotify | Time spent listening | Depth of engagement with the core product |
| Slack | Daily active users | Whether teams are genuinely collaborating |
| Uber | Number of trips completed | Core marketplace liquidity |
| Shopify | Gross merchandise volume (GMV) | Merchant success — if they win, Shopify wins |
| Messages sent per day | Network engagement and stickiness | |
| Daily active users | Whether the social graph is delivering value | |
| HubSpot | Number of weekly active teams | Product adoption at the org level |
Notice what’s not on this list: signups, page views, downloads, or revenue. Those are either vanity metrics or outputs. The north star is always about value delivered.
🔴 Case study — Airbnb: why “nights booked” changed everything
In Airbnb’s early days, the team was tracking a sprawling set of metrics. Listings created, searches performed, messages sent, reviews written — the business generated data at every touchpoint and the team was drowning in it.
The shift came when they converged on nights booked as the single metric that captured whether Airbnb was actually working. A night booked meant a guest found a place they trusted enough to pay for. It meant a host earned income. It meant the marketplace created a successful transaction. Every other metric was either an input to nights booked or an output from it.
Once the team aligned on this, strategic clarity followed. Marketing optimised for searches that converted to bookings. Product prioritised features that reduced friction in the booking flow. Trust and safety investments could be measured by whether they increased booking rates in previously low-conversion markets.
→ Result: a single metric aligned the entire company across product, marketing, and operations — making every team’s work directly legible to every other team.
This is the compounding power of a well-chosen north star. It’s not just a reporting tool. It’s an alignment mechanism.
How to find your north star metric
There’s no formula, but there is a process. Work through these questions:
1. What is the core action that delivers value in your product? Not signing up. Not logging in. The moment a user gets the thing they came for. For a project management tool, it’s completing the first project. For a data analytics platform, it’s running the first meaningful query. For a marketplace, it’s the first successful transaction.
2. What metric best measures how often that action happens — and for how many users? You’re looking for something at the intersection of frequency and breadth. Not just “did they do it once” but “are they doing it regularly, and is the number of people doing it growing?”
3. Does it lead revenue, or follow it? Test this by looking at historical data. If the metric rises 30 days before revenue rises, it’s a good north star candidate. If it moves in lockstep with revenue, it’s probably a proxy for the same thing.
4. Can every team in the company articulate how their work moves this number? If your customer support team can’t explain how they influence the metric, it’s probably too abstract. If your growth team has to have a 10-minute conversation to explain how a campaign connects to it, it’s too distant from their work.
| Stage | Typical north star focus | Why |
|---|---|---|
| Pre-product/market fit | Activation rate | Are users experiencing core value at all? |
| Early growth | Retention / DAU | Are users coming back after the first experience? |
| Scaling | Engagement depth | How much value are retained users extracting? |
| Mature | Revenue-linked metrics | Value is proven, now optimise monetisation |
The most common north star mistakes
Choosing a vanity metric. Total registered users sounds impressive in fundraising decks. It tells you almost nothing about whether your product is working. A metric that can only go up is almost never a good north star.
Picking revenue. Already covered above — it’s a lagging indicator. It tells you what happened, not what’s about to happen.
Having more than one. There’s a reason it’s called a north star and not north stars. Multiple north stars create competing incentives between teams and make prioritisation conversations significantly harder. One metric, one focus.
Never changing it. What works as a north star for a 10-person startup often breaks at 100 people. Airbnb’s north star today is more nuanced than it was in 2010. Revisit yours every 12–18 months and ask whether it still accurately captures the core value you deliver.
Key takeaways
- ✓ A north star metric is the single number that best captures the core value your product delivers to customers — coined and popularised by Sean Ellis, the father of growth hacking
- ✓ Revenue is the wrong north star — it’s a lagging indicator, not a leading one; the NSM should predict revenue, not mirror it
- ✓ The best north stars measure value delivered: Airbnb uses nights booked, Spotify uses time spent listening, Slack tracks daily active users
- ✓ To find yours, identify the core action in your product where a user first experiences real value — then measure how often and how broadly that action happens
- ✓ One north star only — multiple metrics create competing incentives and kill strategic clarity
- ✓ Your NSM should evolve as your company scales; what drives alignment at 10 people rarely works the same way at 100
Matthis Duarte is a senior SEO professional with 12 years of experience. HackingStory.com reverse-engineers how the fastest-growing startups actually grew — with real data, not press releases.
