Giordano Contestabile
VP of Product at Life360
Where to hear and read about Giordano Contestabile1 episode or test
Sub ClubProtecting Freemium at 100M Users AND Driving $500M Revenue – Giordano Contestabile, Life360Giordano Contestabile is VP of Product at Life360, a family safety app with close to 100 million monthly users and nearly $500 million in annual revenue. The most useful thing to learn from him is how to grow through a company-wide experimentation system while refusing to weaken the free tier that powers word of mouth.
Parents are not viral.
Protecting Freemium at 100M Users AND Driving $500M Revenue – Giordano Contestabile, Life360
Giordano Contestabile: the story and the lessons
1Giordano Contestabile and the scale of Life360
Contestabile runs product at a 15-year-old app with close to 100 million users. Life360 has close to 100 million monthly users, split evenly between the US and abroad, and about 3 million active subscribers. Revenue is closing in on $500 million a year.
International growth only began in the last couple of years and is now the fastest growing market. The company has been public in the US for a couple of years, and its market cap is almost $4 billion, with the stock listed in Australia.
He defines growth as every revenue line plus user growth. Growth covers subscriptions, ads and device sales (Tile and Pet GPS trackers), plus user growth. The public goal is to become a billion-dollar revenue company in the next couple of years.
The aim is to align everyone behind that goal and give each team tools to help reach it.
He wants a family super app but calls Life360 very early. A new feature must pass three tests: is it a real problem, does Life360 have permission to solve it, and does the audience overlap heavily with current users.
Ideas come from what users ask for, such as help with kids' schedules or protecting an aging parent from scams, and from data patterns. Features go into the main app, not a second one, because very few companies succeed with a second app. Duolingo's separate apps were reportedly brought back into its main app.
2Why Contestabile protects the free tier and monetizes around it
He turned down a test that doubled subscribers because it hurt free users. Life360 tested cutting free location history from 2 days to 6 or 12 hours. It doubled subscribers from that hook, but the team did not ship it.
The change would make the feature less useful and in some cases less safe. Contestabile says: "we paid for it on short-term bottom line, but we think in the long term it's going to be, you know, the right thing to do for our business."
Six months into the job, he learned to reject a huge revenue win. The numbers from a test that cut free value looked huge, and the team shot the idea down. The free tier has core things nobody touches, which the company calls its "freemium bill of rights".
Contestabile calls it a striking lesson for someone used to just making the number go up.
He treats the large free base as a network moat. Life360 is not useful solo, and the top way people find it is parents telling other parents. About 40% of users say someone told them, and about 3% of monthly users subscribe, with each subscription covering about four people.
A big free base also makes the Pet Finder network and Tile devices more useful and supports the ad business. He calls it "one of the big modes and one of the big competitive advantages for us."
He answers 'free is good enough' by adding value, not cutting free. The top reason people give for not subscribing is that the free tier is good enough. Life360 wants to act on that, but by providing more value and diversifying the subscription offer.
Hard paywall apps convert at five times the rate of freemium apps, per the State of Subscription Apps report. Life360 stays freemium because its mission and its network fit a generous free tier, and safety features like SOS and crash detection should reach everyone.
He gates a feature only when it costs real money to provide. Roadside assistance is premium because Life360 pays the toll on every call. Software features start free, then a new experience or tier is built on top.
Premium should not be an artificial cap such as two free uses and then payment. He accepts some friction: the onboarding paywall adds one screen, and dropping it would cut a significant number of new subscribers. Free-experience and paid-experience teams used to work separately, and he wants both sides considered.
He holds ads to a 'do no harm' baseline before adding value. Life360 only began working in ads in the last 2 years. Ads must not be intrusive, invasive or unwelcome, and harm is measured through attention, engagement and conversations with users.
The next step is useful offers built on what the app knows. The Uber partnership grew from a landing notification built at a hackathon, and the same logic could offer something to someone heading to Costco.
He uses hardware to bring in users and retain them, not for margin. Buying a Tile or pet GPS brings a new user into the app, and users with Tiles retain better. The pet GPS requires a subscription, and a free Tile with a subscription helps convert some users.
Life360 will "always index toward trying to reach more users with the devices". The device business does not necessarily lose money, and subscription stays the main revenue driver.
3How Contestabile runs growth as a company-wide experiment system
He made growth a company system, not one team's job. Life360 began with a growth team, then turned growth into a company-wide system. Everyone aligns behind a top-line revenue metric and a user metric, and each team owns sub-metrics it can move.
Finance built tools that mine data for insight on pricing, tiering and what goes in each tier. HR sees a growth angle in hiring, performance evaluation and organization design. He calls it a work in progress, and the result is "a giant experimentation machine that goes well beyond what a team can do."
He lets self-selected builders emerge instead of appointing growth leads. Only product development has an explicit growth mandate. Elsewhere, leaders look for builders who want to dig into tools and find faster ways to work.
Builders get tools, training and a fellowship where someone swaps their job for three months to make their team faster with technology.
He judges experiments as a learning portfolio. Three levers drive compounded growth: velocity, win rate and average win. Life360 uses AI to raise velocity while holding the other two roughly stable.
Impact is predicted before a test runs. A portfolio needs enough big wins to drive growth and good learning from the losses.
He counts only inconclusive tests as real failures. A win is scaled and a loss proves or disproves a hypothesis. An inconclusive test means wasted time, a bad setup or a weak hypothesis.
Revenue is still the core KPI, and Life360 tracks the number of inconclusive tests and tries to reduce it. Teams are expected to have learnings from each loss and time to act on them.
He segments losing tests to find who they worked for. One failed test still worked well for users in the suburbs who had been on the platform a month and had a dog. Results are segmented after the test to see why.
The stack is standard, including Databricks and Statsig plus some homegrown tools. A person who knows the users and product reads the patterns, and the team spends a lot of time talking to users.
A machine learning model doubled Platinum signups without losing Gold subscribers. A model using about 900 data points finds new users likely to buy Platinum and shows them that tier on the paywall instead of the default Gold. It doubled the share of new users choosing Platinum and lost no Gold subscribers.
A paywall can show only one tier, and Platinum's range of roadside assistance, identity protection and other services is hard to explain there. The sources give no baseline rates or revenue figures for the result.
4What Contestabile has learned about Life360 users and the circle
He pushes new users to build and invite a circle in week one. Joining or creating a circle and inviting others correlates strongly with being active on day seven and a year later. Onboarding and mid-boarding steps are built around that first week.
On day two, a user who has not opened location history gets a personalized prompt. Targeting is moving from fixed schedules toward specific user behavior.
He finds that circles of three to four people convert and retain best. Larger circles tend to be friend groups or extended family, who are less motivated to pay for safety features. Smaller ones are often couples.
Kids leaving for college is a major churn reason. Asked whether a circle shrinking from four to two warns of churn, he gave no figures.
He learned that in-app referral buttons fail because parents are not viral. About 40% of users say someone told them about the app, so the team tried a share button and a gifted Silver subscription. The tests failed across the board.
Kids are the viral ones, but parents decide who is on the app. His advice is to find who actually drives word of mouth first.
He personalizes prompts with the user's own circle context. Generic banners get tapped through. Life360 asks a user things like "What was John up to yesterday?" when John is in their circle.
Prompts need to be relevant to the user's own profile and clear about why a feature is fun.
He uses playful surfaces so prompts do not become noise. To promote the pet profile, an animated dog appears on app open and asks to be petted, and tapping it opens the feature. The profile can alert the neighborhood's Life360 users to a lost dog.
The pet profile got a lot of signups and was described as a really huge success.
He builds for pet owners because they overlap with the core audience. About 80% of families with kids on the platform also have a pet, and couples often have pets too. Pet value gives them a reason to subscribe.
A pet GPS stays useful after the kids leave for college. For smaller micro audiences, the machine learning layer targets promotions and feature education instead of new features.
Protecting Freemium at 100M Users AND Driving $500M Revenue – Giordano Contestabile, Life360
Life360's VP of Product explains how the company runs growth as a company-wide experimentation system and protects a generous free tier instead of squeezing short-term conversion. Life360 has close to 100 million monthly users, about 3 million subscribers and nearly $500 million in annual revenue, and a machine learning test doubled Platinum signups without losing any Gold subscribers.
Contestabile runs product at a 15-year-old app with close to 100 million users. Life360 has close to 100 million monthly users, split evenly between the US and abroad, and about 3 million active subscribers. Revenue is closing in on $500 million a year.
International growth only began in the last couple of years and is now the fastest growing market. The company has been public in the US for a couple of years, and its market cap is almost $4 billion, with the stock listed in Australia.
He defines growth as every revenue line plus user growth. Growth covers subscriptions, ads and device sales (Tile and Pet GPS trackers), plus user growth. The public goal is to become a billion-dollar revenue company in the next couple of years.
The aim is to align everyone behind that goal and give each team tools to help reach it.
He wants a family super app but calls Life360 very early. A new feature must pass three tests: is it a real problem, does Life360 have permission to solve it, and does the audience overlap heavily with current users.
Ideas come from what users ask for, such as help with kids' schedules or protecting an aging parent from scams, and from data patterns. Features go into the main app, not a second one, because very few companies succeed with a second app. Duolingo's separate apps were reportedly brought back into its main app.
He turned down a test that doubled subscribers because it hurt free users. Life360 tested cutting free location history from 2 days to 6 or 12 hours. It doubled subscribers from that hook, but the team did not ship it.
The change would make the feature less useful and in some cases less safe. Contestabile says: "we paid for it on short-term bottom line, but we think in the long term it's going to be, you know, the right thing to do for our business."
Six months into the job, he learned to reject a huge revenue win. The numbers from a test that cut free value looked huge, and the team shot the idea down. The free tier has core things nobody touches, which the company calls its "freemium bill of rights".
Contestabile calls it a striking lesson for someone used to just making the number go up.
He treats the large free base as a network moat. Life360 is not useful solo, and the top way people find it is parents telling other parents. About 40% of users say someone told them, and about 3% of monthly users subscribe, with each subscription covering about four people.
A big free base also makes the Pet Finder network and Tile devices more useful and supports the ad business. He calls it "one of the big modes and one of the big competitive advantages for us."
He answers 'free is good enough' by adding value, not cutting free. The top reason people give for not subscribing is that the free tier is good enough. Life360 wants to act on that, but by providing more value and diversifying the subscription offer.
Hard paywall apps convert at five times the rate of freemium apps, per the State of Subscription Apps report. Life360 stays freemium because its mission and its network fit a generous free tier, and safety features like SOS and crash detection should reach everyone.
He gates a feature only when it costs real money to provide. Roadside assistance is premium because Life360 pays the toll on every call. Software features start free, then a new experience or tier is built on top.
Premium should not be an artificial cap such as two free uses and then payment. He accepts some friction: the onboarding paywall adds one screen, and dropping it would cut a significant number of new subscribers. Free-experience and paid-experience teams used to work separately, and he wants both sides considered.
He holds ads to a 'do no harm' baseline before adding value. Life360 only began working in ads in the last 2 years. Ads must not be intrusive, invasive or unwelcome, and harm is measured through attention, engagement and conversations with users.
The next step is useful offers built on what the app knows. The Uber partnership grew from a landing notification built at a hackathon, and the same logic could offer something to someone heading to Costco.
He uses hardware to bring in users and retain them, not for margin. Buying a Tile or pet GPS brings a new user into the app, and users with Tiles retain better. The pet GPS requires a subscription, and a free Tile with a subscription helps convert some users.
Life360 will "always index toward trying to reach more users with the devices". The device business does not necessarily lose money, and subscription stays the main revenue driver.
He made growth a company system, not one team's job. Life360 began with a growth team, then turned growth into a company-wide system. Everyone aligns behind a top-line revenue metric and a user metric, and each team owns sub-metrics it can move.
Finance built tools that mine data for insight on pricing, tiering and what goes in each tier. HR sees a growth angle in hiring, performance evaluation and organization design. He calls it a work in progress, and the result is "a giant experimentation machine that goes well beyond what a team can do."
He lets self-selected builders emerge instead of appointing growth leads. Only product development has an explicit growth mandate. Elsewhere, leaders look for builders who want to dig into tools and find faster ways to work.
Builders get tools, training and a fellowship where someone swaps their job for three months to make their team faster with technology.
He judges experiments as a learning portfolio. Three levers drive compounded growth: velocity, win rate and average win. Life360 uses AI to raise velocity while holding the other two roughly stable.
Impact is predicted before a test runs. A portfolio needs enough big wins to drive growth and good learning from the losses.
He counts only inconclusive tests as real failures. A win is scaled and a loss proves or disproves a hypothesis. An inconclusive test means wasted time, a bad setup or a weak hypothesis.
Revenue is still the core KPI, and Life360 tracks the number of inconclusive tests and tries to reduce it. Teams are expected to have learnings from each loss and time to act on them.
He segments losing tests to find who they worked for. One failed test still worked well for users in the suburbs who had been on the platform a month and had a dog. Results are segmented after the test to see why.
The stack is standard, including Databricks and Statsig plus some homegrown tools. A person who knows the users and product reads the patterns, and the team spends a lot of time talking to users.
A machine learning model doubled Platinum signups without losing Gold subscribers. A model using about 900 data points finds new users likely to buy Platinum and shows them that tier on the paywall instead of the default Gold. It doubled the share of new users choosing Platinum and lost no Gold subscribers.
A paywall can show only one tier, and Platinum's range of roadside assistance, identity protection and other services is hard to explain there. The sources give no baseline rates or revenue figures for the result.
He pushes new users to build and invite a circle in week one. Joining or creating a circle and inviting others correlates strongly with being active on day seven and a year later. Onboarding and mid-boarding steps are built around that first week.
On day two, a user who has not opened location history gets a personalized prompt. Targeting is moving from fixed schedules toward specific user behavior.
He finds that circles of three to four people convert and retain best. Larger circles tend to be friend groups or extended family, who are less motivated to pay for safety features. Smaller ones are often couples.
Kids leaving for college is a major churn reason. Asked whether a circle shrinking from four to two warns of churn, he gave no figures.
He learned that in-app referral buttons fail because parents are not viral. About 40% of users say someone told them about the app, so the team tried a share button and a gifted Silver subscription. The tests failed across the board.
Kids are the viral ones, but parents decide who is on the app. His advice is to find who actually drives word of mouth first.
He personalizes prompts with the user's own circle context. Generic banners get tapped through. Life360 asks a user things like "What was John up to yesterday?" when John is in their circle.
Prompts need to be relevant to the user's own profile and clear about why a feature is fun.
He uses playful surfaces so prompts do not become noise. To promote the pet profile, an animated dog appears on app open and asks to be petted, and tapping it opens the feature. The profile can alert the neighborhood's Life360 users to a lost dog.
The pet profile got a lot of signups and was described as a really huge success.
He builds for pet owners because they overlap with the core audience. About 80% of families with kids on the platform also have a pet, and couples often have pets too. Pet value gives them a reason to subscribe.
A pet GPS stays useful after the kids leave for college. For smaller micro audiences, the machine learning layer targets promotions and feature education instead of new features.