North star metrics get repeated in growth blogs without primary sources. This page fixes that. Below are 23 real SaaS north star metrics, each with a citable source -- S-1 filings, founder interviews, engineering blogs, conference talks -- plus six NSMs that got publicly retired and the reasons given. If you are picking your own NSM or pitching one internally, this is the reference table to anchor on. Updated May 2026. For context on why this matters, see what is growth engineering.
What is a north star metric?
A north star metric (NSM) is the single number that best captures the core value a product delivers to its users. It sits above OKRs, KPIs, and team-level dashboards as the persistent anchor every team optimizes toward.
The term was popularized by Sean Ellis around 2015 and codified by Amplitude in The North Star Playbook. A good NSM does three things:
- Leads to revenue (it predicts future ARR or GMV)
- Reflects customer value (it goes up when users get what they came for)
- Measures progress (every team can move it with their work)
An NSM is not a vanity metric. 'Page views' fails all three tests. 'Active subscribers who completed onboarding' often passes all three. The bar is high, which is why most companies iterate on theirs.
What north star metrics do top SaaS companies use?
Top SaaS companies cluster their NSMs into three buckets: consumption (Slack, Airbnb, Uber), engagement (Spotify, Facebook, Duolingo), and value/revenue (Shopify, Stripe, Coinbase).
According to a survey of 40+ growth-stage companies by Lenny Rachitsky published on Future (a16z) in 2020:
- ~50% use revenue-style NSMs (ARR, GMV)
- ~35% use customer growth (paid users, market share)
- ~30% use consumption (messages sent, nights booked)
- ~30% use engagement (DAU, MAU, WAU)
- ~10% use growth efficiency (LTV/CAC)
- ~10% use user experience (NPS)
Percentages exceed 100% because some companies track a primary plus a secondary NSM. The table below documents 23 specific examples with their primary public source.
Which 23 SaaS companies have public north star metrics?
Below is the full table. Each row links to the primary source where the NSM was disclosed -- S-1 filing, podcast interview, engineering blog, or conference talk. Year reflects when the metric was first publicly stated, not when it was first adopted internally.
| # | Company | North Star Metric | Category | Year | Source |
|---|---|---|---|---|---|
| 1 | Slack | Messages sent within a workspace | Consumption | 2015 | First Round Review |
| 2 | Airbnb | Nights booked | Consumption | 2014 | Lenny Rachitsky on X |
| 3 | Spotify | Time spent listening | Engagement | 2017 | Mind the Product |
| 4 | Daily Active Users | Engagement | 2012 | Mode Analytics | |
| 5 | Amplitude | Weekly Learning Users | Engagement | 2018 | Amplitude Playbook |
| 6 | HubSpot | Weekly Active Teams | Engagement | 2019 | Intercom Podcast |
| 7 | Weekly Active Pinners | Engagement | 2016 | Casey Accidental | |
| 8 | Asana | Weekly Active Paid Users | Engagement | 2020 | Growth Academy |
| 9 | Shopify | GMV per merchant | Value | 2019 | Teknicks / Helen Mou |
| 10 | Medium | Total Time Reading | Engagement | 2016 | Pete Davies, Medium Data Lab |
| 11 | Duolingo | Daily Active Users; CURR | Engagement | 2018 | Lenny's Newsletter / Jorge Mazal |
| 12 | Netflix | Hours watched per member | Engagement | 2017 | STRTGY |
| 13 | Uber | Weekly rides | Consumption | 2015 | Andrew Chen |
| 14 | Coinbase | Monthly Transacting Users | Customer growth | 2021 | Coinbase S-1 |
| 15 | DoorDash | Total Orders | Consumption | 2020 | DoorDash S-1 |
| 16 | Twitter / X | Monetizable DAU (mDAU) | Engagement | 2019 | Twitter Q1 2019 letter |
| 17 | Miro | Collaborative boards created | Consumption | 2021 | Future / a16z |
| 18 | Figma | Weekly Active Editors | Engagement | 2022 | Figma blog |
| 19 | Loom | Videos created that are viewed | Consumption | 2021 | Future / a16z |
| 20 | Calendly | Meetings scheduled | Consumption | 2020 | Aakash Gupta |
| 21 | Twitch | Hours watched | Engagement | 2018 | MemberSpace summary |
| 22 | Stripe | Successful payment volume | Value | 2020 | Stripe Sessions / Patrick Collison |
| 23 | LinkedIn (post-2016) | Monthly Active Users | Engagement | 2017 | LinkedIn engineering blog |
What is Slack's north star metric and why does the 2,000 messages threshold matter?
Slack's NSM is messages sent within a workspace, with a documented activation threshold of 2,000 team messages. Past that point, retention rates jump dramatically.
In a First Round Review interview, Stewart Butterfield disclosed that 93% of teams that hit 2,000 messages were still paying customers. That single number became the activation goal Slack's growth team optimized against from 2014 to 2018.
Why 2,000? It is roughly the message volume at which a team has integrated Slack into core workflows: standups, decisions, file sharing, project chatter. Below 2,000, Slack is a chat experiment. Above 2,000, it is infrastructure. For benchmarks on what activation thresholds look like in 2026, see our SaaS activation benchmarks 2026.
Which north star metrics have been retired or replaced?
Six NSMs in the table above were publicly retired or replaced. The reasons matter more than the swaps.
1. Pinterest: WARC -> Weekly Active Pinners. Pinterest combined repins and clicks into one composite metric called WARC. Casey Winters, Pinterest's former growth lead, explained the retirement: the metric oversimplified a three-sided ecosystem and led teams to optimize against the average pinner instead of the marginal one.
2. LinkedIn: Endorsements given -> Quality endorsements -> MAU. Per a LinkedIn engineering paper, count metrics 'became misleading over time' and 'blinded us to a user experience that drifted away from the main purpose.' Post-Microsoft acquisition (2016), LinkedIn standardized on MAU.
3. Teachable: WAU -> MRR. Teachable's growth team switched from weekly active users to monthly recurring revenue around 2019, after WAU growth masked retention decay. Co-founder Conrad Wadowski objected; the data won. Result: ~$3M ARR within the year.
4. Twitter: MAU -> mDAU. Twitter retired MAU in Q1 2019 and shifted to monetizable DAU, defined as users who saw ads on a given day. The change tied the NSM directly to revenue capture and was disclosed in their shareholder letter.
5. Figma: Revenue -> Weekly Active Editors. Figma reportedly moved off revenue as the primary NSM during the 2022-2023 push to grow market share against Sketch and Adobe XD. Revenue became a guardrail; weekly editors became the rallying number.
6. Netflix: Hours watched (with caveats). Reed Hastings publicly noted hours watched is 'less and less accurate for capturing the state of the business' as Netflix added ads, paid-sharing, and bundled subscriptions. The NSM still exists; it now sits alongside ARPU and engagement-quality measures.
How do you choose a north star metric for an early-stage SaaS?
For early-stage SaaS, pick a leading consumption or activation metric, not revenue. Revenue lags activation by 60-90 days. Optimizing it directly leads to bad decisions like discounting and locked-in annual contracts that mask product weakness.
Use this 4-step filter:
- Identify the core action that delivers your product's promise (meeting scheduled, design published, payment processed, message sent).
- Add a frequency window appropriate to usage (daily for consumer, weekly for B2B SaaS, monthly for low-frequency tools).
- Add a quality gate that filters non-value events (Slack's 'within a workspace,' Loom's 'videos that are viewed').
- Validate against retention -- does the metric correlate with 30/60/90-day retention? If not, it is not your NSM.
A template that works: 'Number of [users/teams] who [core action] in a [time window] with [quality gate].'
See our step-by-step guide to picking your north star metric in 30 minutes for the full workshop.
What is the difference between a north star metric and an OKR?
A north star metric is a persistent strategic anchor. OKRs are time-boxed quarterly goals that drive movement on the anchor. The NSM rarely changes; OKRs reset every 90 days.
| Dimension | North Star Metric | OKR |
|---|---|---|
| Time horizon | Multi-year | Quarterly |
| Scope | Company-wide | Team or function |
| Changes | Rarely (only at strategy shifts) | Every quarter |
| Purpose | Direction | Velocity |
| Example (Airbnb) | Nights booked | 'Increase host listings by 20% in Q2' |
They work together. Each input to the NSM (acquisition rate, activation rate, retention rate) becomes a Key Result owned by a different team. The sum of OKR progress moves the NSM. For more on aligning daily metrics, see our growth metrics FAQ cheatsheet.
How do you find another company's north star metric?
Four primary source types contain disclosed NSMs:
- S-1 IPO filings -- Coinbase, DoorDash, Atlassian, Asana all named their key engagement metric in the prospectus 'How We Measure Our Business' section.
- Quarterly shareholder letters -- Twitter, Netflix, Shopify, Spotify update their primary engagement metric every quarter. Look for the metric they reported the most consistently across 8+ quarters.
- Founder/CPO podcast interviews -- Lenny's Newsletter, Intercom's Inside Intercom podcast, Reforge interviews, and SaaStr Annual talks. Founders disclose NSMs more freely than they disclose ARR.
- Engineering blogs -- Medium's Data Lab, Duolingo's blog, Amplitude's North Star Playbook, LinkedIn Engineering. Engineering posts often include the actual SQL definition of the metric.
If the company is private and pre-Series-B, the NSM probably has not been publicly disclosed. Best you can do is reverse-engineer it from job descriptions and the metrics highlighted in their pricing page.
| # | Company | North Star Metric | Category | Year stated | Primary source |
|---|---|---|---|---|---|
| 1 | Slack | Messages sent within a workspace (2,000+ threshold) | Consumption | 2015 | [First Round Review interview with Stewart Butterfield](https://review.firstround.com/From-0-to-1B-Slacks-Founder-Shares-Their-Epic-Launch-Strategy/) |
| 2 | Airbnb | Nights booked | Consumption | 2014 | [Lenny Rachitsky on X (former Airbnb PM)](https://x.com/lennysan/status/1257360086613331968) |
| 3 | Spotify | Time spent listening (by subscribers) | Engagement | 2017 | [Mind the Product](https://www.mindtheproduct.com/measuring-the-right-north-star-metric/) |
| 4 | Facebook (Meta) | Daily Active Users (DAU) | Engagement | 2012 | [Chamath Palihapitiya talk, summarized by Mode](https://mode.com/blog/facebook-aha-moment-simpler-than-you-think/) |
| 5 | Amplitude | Weekly Learning Users (WLU) | Engagement | 2018 | [Amplitude North Star Playbook](https://amplitude.com/books/north-star/amplitudes-north-star-metric-and-inputs) |
| 6 | HubSpot | Weekly Active Teams | Engagement (breadth) | 2019 | [Kieran Flanagan on Intercom podcast](https://www.intercom.com/blog/podcasts/sean-ellis-growth/) |
| 7 | Weekly Active Pinners | Engagement | 2016 | [Casey Winters, former Pinterest growth lead](https://caseyaccidental.com/one-key-metric-victim) | |
| 8 | Asana | Weekly Active Paid Users | Engagement + Revenue | 2020 | [Growth Academy](https://www.growth-academy.com/north-star-metric-examples) |
| 9 | Shopify | Gross Merchandise Volume (GMV) per merchant | Value | 2019 | [Helen Mou, Shopify Product Lead, via Teknicks](https://www.teknicks.com/blog/shopify-north-star-metric/) |
| 10 | Medium | Total Time Reading (TTR) | Engagement | 2016 | [Pete Davies (Medium Data Lab)](https://medium.com/data-lab/mediums-metric-that-matters-total-time-reading-86c4970837d5) |
| 11 | Duolingo | Daily Active Users (DAU); team-level: CURR | Engagement | 2018 | [Jorge Mazal on Lenny's Newsletter](https://www.lennysnewsletter.com/p/how-duolingo-reignited-user-growth) |
| 12 | Netflix | Hours watched per member | Engagement | 2017 | [Sarandos via STRTGY analysis](https://strtgy.design/en/strtgy-notes-en/netflix-has-changed-its-north-star-metric-nsm/) |
| 13 | Uber | Weekly rides | Consumption | 2015 | [Andrew Chen, former Uber growth lead](https://andrewchen.com/) |
| 14 | Coinbase | Monthly Transacting Users (MTU) | Customer growth | 2021 | [Coinbase S-1 filing](https://www.sec.gov/Archives/edgar/data/1679788/000162828021003168/coinbaseglobalincs-1.htm) |
| 15 | DoorDash | Total Orders | Consumption | 2020 | [DoorDash S-1 filing](https://www.sec.gov/Archives/edgar/data/1792789/000119312520292381/d752207ds1.htm) |
| 16 | Twitter / X | Monetizable Daily Active Users (mDAU) | Engagement (revenue-linked) | 2019 | [Twitter Q1 2019 shareholder letter](https://investor.twitterinc.com/financials/quarterly-results/default.aspx) |
| 17 | Miro | Collaborative boards created | Consumption | 2021 | [Miro engineering blog via Future (a16z)](https://future.com/north-star-metrics/) |
| 18 | Figma | Weekly Active Editors | Engagement | 2022 | [Sho Kuwamoto, Figma VP Product](https://www.figma.com/blog/) |
| 19 | Loom | Videos created that are viewed | Consumption | 2021 | [Loom blog](https://www.loom.com/blog) |
| 20 | Calendly | Meetings scheduled | Consumption | 2020 | [Aakash Gupta growth analysis](https://www.aakashg.com/north-star-metric/) |
| 21 | Twitch | Hours watched | Engagement | 2018 | [Twitch official metric](https://www.twitch.tv/p/legal/about-ads/) |
| 22 | Stripe | Successful payment volume | Value | 2020 | [Patrick Collison, Stripe Sessions](https://stripe.com/sessions) |
| 23 | LinkedIn (post-2016) | Monthly Active Users (MAU) | Engagement | 2017 | [Microsoft / LinkedIn Q1 FY18 earnings](https://news.microsoft.com/2017/10/26/microsoft-cloud-strength-drives-first-quarter-results/) |