Aug 15, 2019 · 38m · y-combinator

Gustaf Alströmer - Growth for Startups · Y Combinator

Gustaf Alströmer · 31m spoken
0:00 / 0:00
▶ Watch on YouTube →

gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

In this Y Combinator lecture, former Airbnb Growth Lead Gustaf Alströmer presents a comprehensive guide on startup growth, outlining strategies for early-stage manual user acquisition, measuring product-market fit through cohort retention, and scaling via targeted growth channels and A/B testing.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. How this is scored →

The partners as informed peer 0.0 Guest teaching 5.6 Guest disagreement 1.7 The partners pushing back 0.0
05100:0010:0020:0030:001:17–3:48 · The partners as informed peer 0/10 The Early Stage Reality: Doing Things That Don't Scale Gustaf delivers a solo lecture challenging the conventional business school mindset that founders should only focus on scalable software solutions from day one. He explains that founders must unlearn MBA teachings and personally do non-scalable work early on.3:48–8:32 · The partners as informed peer 0/10 Case Study: How Airbnb Scaled in its Early Days Gustaf details how Airbnb founders had to manually photograph hosts' apartments in New York under the guise of hired photographers to uncover critical user bugs. He stresses that founders cannot make startups take off by merely sitting behind a computer.8:32–11:32 · The partners as informed peer 0/10 Defining and Measuring Product-Market Fit Gustaf dismantles vague definitions of product-market fit, asserting that founders routinely delude themselves about having it. He outlines a rigorous framework based on repeat usage metrics mapped against expected usage cadence.11:32–14:37 · The partners as informed peer 0/10 Retention Curves and Evaluating Product Health Gustaf walks through cohort retention curves using DoorDash and GitHub as real-world benchmarks. He demonstrates that a flattening curve over extended time horizons is the only unbiased indicator of product-market fit.14:37–21:38 · The partners as informed peer 0/10 Critiquing Flawed and Misleading Metrics Gustaf criticizes common vanity metrics like Net Promoter Score, survey results, registered users, and conversion rates, noting that top companies often score poorly on NPS. He emphasizes that free usage is misleading and only paid retention proves real value.21:38–25:44 · The partners as informed peer 0/10 Selecting Strategic Growth Channels Gustaf explains conversion rate optimization and growth channels, advising founders not to optimize channels before achieving retention. He also points out that large companies scale primarily on one or two channels rather than attempting everything.25:44–28:17 · The partners as informed peer 0/10 Tactical Deep Dive: Referrals and Virality Gustaf breaks down viral loops and referral programs using Airbnb's referral mechanics as a case study. He explains how each element of an invite email, such as the sender identity and exclusive phrasing, must be systematically optimized.28:17–30:21 · The partners as informed peer 0/10 Tactical Deep Dive: Paid Growth and Unit Economics Gustaf warns founders against investing in paid marketing without proven revenue and clear payback periods. He highlights the common mistake of relying on unproven long-term LTV assumptions rather than quick CAC recovery.30:21–33:12 · The partners as informed peer 0/10 Tactical Deep Dive: Search Engine Optimization (SEO) Gustaf covers modern SEO mechanics, pointing out that search is a zero-sum game dominated by incumbents like Pinterest and TripAdvisor. He advises startups to target emerging keywords and understand on-page structure and domain authority.33:12–37:35 · The partners as informed peer 0/10 Making Decisions with A/B Testing and Counterfactuals Gustaf challenges the audience's confidence in their product instincts through interactive polls on Airbnb test results. He reveals that counterintuitive variants—such as mandatory sign-up walls—vastly outperformed what founders intuitively voted for.37:35–38:50 · The partners as informed peer 0/10 Summary and Conclusion Gustaf wraps up the talk by summarizing the three core principles: doing non-scalable work early, tracking retention curves for product-market fit, and eventually relying on data over the loudest voice in the room.1:17–3:48 · Guest teaching 5/10 The Early Stage Reality: Doing Things That Don't Scale Gustaf delivers a solo lecture challenging the conventional business school mindset that founders should only focus on scalable software solutions from day one. He explains that founders must unlearn MBA teachings and personally do non-scalable work early on.3:48–8:32 · Guest teaching 6/10 Case Study: How Airbnb Scaled in its Early Days Gustaf details how Airbnb founders had to manually photograph hosts' apartments in New York under the guise of hired photographers to uncover critical user bugs. He stresses that founders cannot make startups take off by merely sitting behind a computer.8:32–11:32 · Guest teaching 6/10 Defining and Measuring Product-Market Fit Gustaf dismantles vague definitions of product-market fit, asserting that founders routinely delude themselves about having it. He outlines a rigorous framework based on repeat usage metrics mapped against expected usage cadence.11:32–14:37 · Guest teaching 6/10 Retention Curves and Evaluating Product Health Gustaf walks through cohort retention curves using DoorDash and GitHub as real-world benchmarks. He demonstrates that a flattening curve over extended time horizons is the only unbiased indicator of product-market fit.14:37–21:38 · Guest teaching 7/10 Critiquing Flawed and Misleading Metrics Gustaf criticizes common vanity metrics like Net Promoter Score, survey results, registered users, and conversion rates, noting that top companies often score poorly on NPS. He emphasizes that free usage is misleading and only paid retention proves real value.21:38–25:44 · Guest teaching 5/10 Selecting Strategic Growth Channels Gustaf explains conversion rate optimization and growth channels, advising founders not to optimize channels before achieving retention. He also points out that large companies scale primarily on one or two channels rather than attempting everything.25:44–28:17 · Guest teaching 5/10 Tactical Deep Dive: Referrals and Virality Gustaf breaks down viral loops and referral programs using Airbnb's referral mechanics as a case study. He explains how each element of an invite email, such as the sender identity and exclusive phrasing, must be systematically optimized.28:17–30:21 · Guest teaching 6/10 Tactical Deep Dive: Paid Growth and Unit Economics Gustaf warns founders against investing in paid marketing without proven revenue and clear payback periods. He highlights the common mistake of relying on unproven long-term LTV assumptions rather than quick CAC recovery.30:21–33:12 · Guest teaching 5/10 Tactical Deep Dive: Search Engine Optimization (SEO) Gustaf covers modern SEO mechanics, pointing out that search is a zero-sum game dominated by incumbents like Pinterest and TripAdvisor. He advises startups to target emerging keywords and understand on-page structure and domain authority.33:12–37:35 · Guest teaching 7/10 Making Decisions with A/B Testing and Counterfactuals Gustaf challenges the audience's confidence in their product instincts through interactive polls on Airbnb test results. He reveals that counterintuitive variants—such as mandatory sign-up walls—vastly outperformed what founders intuitively voted for.37:35–38:50 · Guest teaching 4/10 Summary and Conclusion Gustaf wraps up the talk by summarizing the three core principles: doing non-scalable work early, tracking retention curves for product-market fit, and eventually relying on data over the loudest voice in the room.1:17–3:48 · Guest disagreement 2/10 The Early Stage Reality: Doing Things That Don't Scale Gustaf delivers a solo lecture challenging the conventional business school mindset that founders should only focus on scalable software solutions from day one. He explains that founders must unlearn MBA teachings and personally do non-scalable work early on.3:48–8:32 · Guest disagreement 1/10 Case Study: How Airbnb Scaled in its Early Days Gustaf details how Airbnb founders had to manually photograph hosts' apartments in New York under the guise of hired photographers to uncover critical user bugs. He stresses that founders cannot make startups take off by merely sitting behind a computer.8:32–11:32 · Guest disagreement 2/10 Defining and Measuring Product-Market Fit Gustaf dismantles vague definitions of product-market fit, asserting that founders routinely delude themselves about having it. He outlines a rigorous framework based on repeat usage metrics mapped against expected usage cadence.11:32–14:37 · Guest disagreement 1/10 Retention Curves and Evaluating Product Health Gustaf walks through cohort retention curves using DoorDash and GitHub as real-world benchmarks. He demonstrates that a flattening curve over extended time horizons is the only unbiased indicator of product-market fit.14:37–21:38 · Guest disagreement 3/10 Critiquing Flawed and Misleading Metrics Gustaf criticizes common vanity metrics like Net Promoter Score, survey results, registered users, and conversion rates, noting that top companies often score poorly on NPS. He emphasizes that free usage is misleading and only paid retention proves real value.21:38–25:44 · Guest disagreement 2/10 Selecting Strategic Growth Channels Gustaf explains conversion rate optimization and growth channels, advising founders not to optimize channels before achieving retention. He also points out that large companies scale primarily on one or two channels rather than attempting everything.25:44–28:17 · Guest disagreement 1/10 Tactical Deep Dive: Referrals and Virality Gustaf breaks down viral loops and referral programs using Airbnb's referral mechanics as a case study. He explains how each element of an invite email, such as the sender identity and exclusive phrasing, must be systematically optimized.28:17–30:21 · Guest disagreement 2/10 Tactical Deep Dive: Paid Growth and Unit Economics Gustaf warns founders against investing in paid marketing without proven revenue and clear payback periods. He highlights the common mistake of relying on unproven long-term LTV assumptions rather than quick CAC recovery.30:21–33:12 · Guest disagreement 1/10 Tactical Deep Dive: Search Engine Optimization (SEO) Gustaf covers modern SEO mechanics, pointing out that search is a zero-sum game dominated by incumbents like Pinterest and TripAdvisor. He advises startups to target emerging keywords and understand on-page structure and domain authority.33:12–37:35 · Guest disagreement 3/10 Making Decisions with A/B Testing and Counterfactuals Gustaf challenges the audience's confidence in their product instincts through interactive polls on Airbnb test results. He reveals that counterintuitive variants—such as mandatory sign-up walls—vastly outperformed what founders intuitively voted for.37:35–38:50 · Guest disagreement 1/10 Summary and Conclusion Gustaf wraps up the talk by summarizing the three core principles: doing non-scalable work early, tracking retention curves for product-market fit, and eventually relying on data over the loudest voice in the room.1:17–3:48 · The partners pushing back 0/10 The Early Stage Reality: Doing Things That Don't Scale Gustaf delivers a solo lecture challenging the conventional business school mindset that founders should only focus on scalable software solutions from day one. He explains that founders must unlearn MBA teachings and personally do non-scalable work early on.3:48–8:32 · The partners pushing back 0/10 Case Study: How Airbnb Scaled in its Early Days Gustaf details how Airbnb founders had to manually photograph hosts' apartments in New York under the guise of hired photographers to uncover critical user bugs. He stresses that founders cannot make startups take off by merely sitting behind a computer.8:32–11:32 · The partners pushing back 0/10 Defining and Measuring Product-Market Fit Gustaf dismantles vague definitions of product-market fit, asserting that founders routinely delude themselves about having it. He outlines a rigorous framework based on repeat usage metrics mapped against expected usage cadence.11:32–14:37 · The partners pushing back 0/10 Retention Curves and Evaluating Product Health Gustaf walks through cohort retention curves using DoorDash and GitHub as real-world benchmarks. He demonstrates that a flattening curve over extended time horizons is the only unbiased indicator of product-market fit.14:37–21:38 · The partners pushing back 0/10 Critiquing Flawed and Misleading Metrics Gustaf criticizes common vanity metrics like Net Promoter Score, survey results, registered users, and conversion rates, noting that top companies often score poorly on NPS. He emphasizes that free usage is misleading and only paid retention proves real value.21:38–25:44 · The partners pushing back 0/10 Selecting Strategic Growth Channels Gustaf explains conversion rate optimization and growth channels, advising founders not to optimize channels before achieving retention. He also points out that large companies scale primarily on one or two channels rather than attempting everything.25:44–28:17 · The partners pushing back 0/10 Tactical Deep Dive: Referrals and Virality Gustaf breaks down viral loops and referral programs using Airbnb's referral mechanics as a case study. He explains how each element of an invite email, such as the sender identity and exclusive phrasing, must be systematically optimized.28:17–30:21 · The partners pushing back 0/10 Tactical Deep Dive: Paid Growth and Unit Economics Gustaf warns founders against investing in paid marketing without proven revenue and clear payback periods. He highlights the common mistake of relying on unproven long-term LTV assumptions rather than quick CAC recovery.30:21–33:12 · The partners pushing back 0/10 Tactical Deep Dive: Search Engine Optimization (SEO) Gustaf covers modern SEO mechanics, pointing out that search is a zero-sum game dominated by incumbents like Pinterest and TripAdvisor. He advises startups to target emerging keywords and understand on-page structure and domain authority.33:12–37:35 · The partners pushing back 0/10 Making Decisions with A/B Testing and Counterfactuals Gustaf challenges the audience's confidence in their product instincts through interactive polls on Airbnb test results. He reveals that counterintuitive variants—such as mandatory sign-up walls—vastly outperformed what founders intuitively voted for.37:35–38:50 · The partners pushing back 0/10 Summary and Conclusion Gustaf wraps up the talk by summarizing the three core principles: doing non-scalable work early, tracking retention curves for product-market fit, and eventually relying on data over the loudest voice in the room.

speaking balance: gold is the partners, purple is the guest (3 minute bins)

0:00 · the partners 0% · guest 100%0:00 · the partners 0% · guest 100%3:00 · the partners 0% · guest 100%3:00 · the partners 0% · guest 100%6:00 · the partners 0% · guest 100%6:00 · the partners 0% · guest 100%9:00 · the partners 0% · guest 100%9:00 · the partners 0% · guest 100%12:00 · the partners 0% · guest 100%12:00 · the partners 0% · guest 100%15:00 · the partners 0% · guest 100%15:00 · the partners 0% · guest 100%18:00 · the partners 0% · guest 100%18:00 · the partners 0% · guest 100%21:00 · the partners 0% · guest 100%21:00 · the partners 0% · guest 100%24:00 · the partners 0% · guest 100%24:00 · the partners 0% · guest 100%27:00 · the partners 0% · guest 100%27:00 · the partners 0% · guest 100%30:00 · the partners 0% · guest 100%30:00 · the partners 0% · guest 100%33:00 · the partners 0% · guest 100%33:00 · the partners 0% · guest 100%36:00 · the partners 0% · guest 100%36:00 · the partners 0% · guest 100%
Sharpest disagreement ▶ 35:30 Gustaf refutes founder intuition with empirical data

Gustaf polls the audience on feature preferences and directly shows that the vast majority guessed wrong, proving intuition is unreliable compared to rigorous experimentation.

Hardest push from the partners ▶ 2:55 Gustaf rejects business school scaling dogmas

Gustaf directly counters the conventional business school dogma that founders should only do scalable tasks, declaring that founders must actively unlearn that mindset.

Biggest teaching moment ▶ 15:10 Gustaf dismantles NPS and vanity metrics

Gustaf educates founders on why popular industry metrics like Net Promoter Score and total registered users provide misleading signals about actual product-market fit.

The partners hold their own ▶ 28:40 Gustaf outlines CAC payback realities

Gustaf demonstrates deep domain expertise by laying out the financial unit economics of paid acquisition and explaining why counting on unproven long-term LTV leads startups to ruin.

the scores for every segment, with the reasoning behind each
ChapterTopicThe partners as informed peerGuest teachingGuest disagreementThe partners pushing backWhy
The Early Stage Reality: Doing Things That Don't Scale 0520 Gustaf delivers a solo lecture challenging the conventional business school mindset that founders should only focus on scalable software solutions from day one. He explains that founders must unlearn MBA teachings and personally do non-scalable work early on.
Case Study: How Airbnb Scaled in its Early Days 0610 Gustaf details how Airbnb founders had to manually photograph hosts' apartments in New York under the guise of hired photographers to uncover critical user bugs. He stresses that founders cannot make startups take off by merely sitting behind a computer.
Defining and Measuring Product-Market Fit 0620 Gustaf dismantles vague definitions of product-market fit, asserting that founders routinely delude themselves about having it. He outlines a rigorous framework based on repeat usage metrics mapped against expected usage cadence.
Retention Curves and Evaluating Product Health 0610 Gustaf walks through cohort retention curves using DoorDash and GitHub as real-world benchmarks. He demonstrates that a flattening curve over extended time horizons is the only unbiased indicator of product-market fit.
Critiquing Flawed and Misleading Metrics 0730 Gustaf criticizes common vanity metrics like Net Promoter Score, survey results, registered users, and conversion rates, noting that top companies often score poorly on NPS. He emphasizes that free usage is misleading and only paid retention proves real value.
Selecting Strategic Growth Channels 0520 Gustaf explains conversion rate optimization and growth channels, advising founders not to optimize channels before achieving retention. He also points out that large companies scale primarily on one or two channels rather than attempting everything.
Tactical Deep Dive: Referrals and Virality 0510 Gustaf breaks down viral loops and referral programs using Airbnb's referral mechanics as a case study. He explains how each element of an invite email, such as the sender identity and exclusive phrasing, must be systematically optimized.
Tactical Deep Dive: Paid Growth and Unit Economics 0620 Gustaf warns founders against investing in paid marketing without proven revenue and clear payback periods. He highlights the common mistake of relying on unproven long-term LTV assumptions rather than quick CAC recovery.
Tactical Deep Dive: Search Engine Optimization (SEO) 0510 Gustaf covers modern SEO mechanics, pointing out that search is a zero-sum game dominated by incumbents like Pinterest and TripAdvisor. He advises startups to target emerging keywords and understand on-page structure and domain authority.
Making Decisions with A/B Testing and Counterfactuals 0730 Gustaf challenges the audience's confidence in their product instincts through interactive polls on Airbnb test results. He reveals that counterintuitive variants—such as mandatory sign-up walls—vastly outperformed what founders intuitively voted for.
Summary and Conclusion 0410 Gustaf wraps up the talk by summarizing the three core principles: doing non-scalable work early, tracking retention curves for product-market fit, and eventually relying on data over the loudest voice in the room.

Statements from this episode (25)

Insight
Alströmer: Working on growth before product-market fit is a bad idea
“It's because working on growth before you have product market fit and good retention is not a good idea.”
Gustaf Alströmer Aug 15, 2019 ▶ 0:27
Insight
Alströmer: Most startups lack product-market fit despite founder belief
“Most startups don't have product market fit. Founders tell themselves that they do, and they try to convince themselves that this is working. But the truth is, for most companies, it's not working.”
Gustaf Alströmer Aug 15, 2019 ▶ 1:22
Insight
Alströmer: Early-stage founders must prioritize non-scalable tactics
“And if you went to school and you learned they should only work on things that really scale, you're gonna have to unlearn that skill. Because when you start your company, the most important thing is going to do things that don't scale.”
Gustaf Alströmer Aug 15, 2019 ▶ 3:39
Assertion Contradicted
Alströmer: Airbnb founders posed as hired photographers to hide small team size
“They claimed to be hired photographers for Airbnb, Airbnb and breakfast. So when they met with all the hosts, they said, we want to come by your home and take photos. They didn't say that they were the founders because that made the company sound much smaller.”
Gustaf Alströmer Aug 15, 2019 ▶ 5:45
Insight
Alströmer: Unbiased data is the best way to assess product-market fit
“I think that the best way to figure out if product market fit is to use data, unbiased data to understand if you basically have made something that people want.”
Gustaf Alströmer Aug 15, 2019 ▶ 9:09
Disclosure
Alströmer: Airbnb measured user retention on an annual basis
“So when we were measuring retention at Airbnb, we're looking at annual.”
Gustaf Alströmer Aug 15, 2019 ▶ 10:15
Insight
Alströmer: Lyft's key PMF metric is active riders, not ride count
“And finally, Lyft. You might want to think it's rides here. The rides is the best metric here. It's actually riders. Like, the people that are taking the rides are the ones that matter. Because it's the individuals that we want to measure here, and we not nece…”
Gustaf Alströmer Aug 15, 2019 ▶ 11:14
Insight
Alströmer: A flattening cohort retention curve proves product-market fit
“Every week, it eventually flattens out, and the people that stop using the product stop, stop using the product. And eventually here, week eight, nine, 10, we have a flat line of people that continue to use the product every single week. That means that they a…”
Gustaf Alströmer Aug 15, 2019 ▶ 13:39
Assertion Not publicly verifiable
Alströmer: DoorDash maintains 20% monthly user retention after 20 months
“The first one here has 30% after two months and 21% after 20 months. This is pretty good. So you kept a fifth of your users 21 months later, or 20 months later. It's DoorDash. DoorDash have a monthly retention of 20% two years later, a year and a half later.”
Gustaf Alströmer Aug 15, 2019 ▶ 14:03
Assertion Not checkable as stated
Alströmer: GitHub retains 80% of users after month one and 30% after five years
“So 80% retention after one month, and then 30% after 60 months. This is really good. This is a really good product. Very sticky. People like this product and they don't stop using it. It's GitHub.”
Gustaf Alströmer Aug 15, 2019 ▶ 14:24
Insight
Top products like the iPhone often have bad Net Promoter Scores
“Well, you can just Google the best products and best companies in the world. They all have bad net promoter score. Like the iPhone, Apple, all of them have bad net promoter scores. Like it doesn't necessarily correlate with good products. Correlates with perce…”
Gustaf Alströmer Aug 15, 2019 ▶ 14:52
Insight
Alströmer: Free usage does not indicate PMF for paid products
“Something that should be a paid product, you're giving away for free, is not a good sign of product market fit. Like, you want to figure out if people are willing to pay for it, because price, if someone says, I love this, if it's free, but if it costs money, …”
Gustaf Alströmer Aug 15, 2019 ▶ 16:06
Assertion Not checkable as stated
Alströmer: Only 1% to 2% of Airbnb homepage visitors reached booking page
“In the case of Airbnb, we call the homepage P-one. The search results page, P two, and then the booking page, and the listing page, P three, and then the booking page was P four. Four pages. That was the entire website. Now what's the funnel? What percent of p…”
Gustaf Alströmer Aug 15, 2019 ▶ 18:55
Insight
Alströmer: Startups should copy Pinterest and Airbnb's authentication flows
“Look at the best websites in the world. Look at Pinterest. Look at Airbnb. Look at some of those sites. They have teams optimizing these flows the authentication flow. Copy what they do. They probably figure it out. They spend a lot of time optimizing.”
Gustaf Alströmer Aug 15, 2019 ▶ 20:49
Insight
Alströmer: Startups with definable target customer lists should use direct sales
“If you can make a list of all your customers, even if that list is a 100,000, or 500,000, if, as long as it's not mainstream enough, they'll be in the tens of millions, you're probably gonna do sales.”
Gustaf Alströmer Aug 15, 2019 ▶ 23:32
Insight
Alströmer: Founders err by running online marketing before monetization
“The biggest mistakes founders make is to start working on online marketing when they don't have people paying for the product.”
Gustaf Alströmer Aug 15, 2019 ▶ 25:02
Insight
Alströmer: Most major companies scale using only one or two channels
“Most really big companies didn't use all of those channels. They use one or two channels.”
Gustaf Alströmer Aug 15, 2019 ▶ 25:11
Assertion Partly supported
Alströmer: Pinterest acquires new users primarily via Google SEO
“If you think of Pinterest, SEO is the re, the real way how Pinterest is going. You type something in on Google, there already exists a Pinterest board for that, and you land on that Pinterest board. That's how they acquire new users.”
Gustaf Alströmer Aug 15, 2019 ▶ 25:34
Insight
Alströmer: Referral emails should name the inviter as sender to drive opens
“First, who's the sender of the email? If it's just Airbnb, I probably have never heard of Airbnb the first time I get this email. If it's Gustav that sent the email, and I sent it to my friends, they have heard of me, that's the reason to open the email.”
Gustaf Alströmer Aug 15, 2019 ▶ 27:10
Insight
Alströmer: 'Accept invitation' CTA outperforms generic 'sign up' in referrals
“Well, I could sign up, which is a undefined thing that you can do sometime in the future, or I can do what we did here, was accept my invitation. This sounds more exclusive. It sounds like something that is just for me. It doesn't sound like something I can do…”
Gustaf Alströmer Aug 15, 2019 ▶ 27:50
Insight
Alströmer: Startups should target a one to three-month CAC payback period
“The best thing startups can do is don't wait eight months. Just have a much lower Like a much lower target on what your CAC is going to be. Maybe one month, two months, three months, first, first transaction, something like that.”
Gustaf Alströmer Aug 15, 2019 ▶ 30:02
Insight
Alströmer: SEO-driven startups must eventually match Pinterest and TripAdvisor
“If you are going to rely on search engine optimization to grow you're going to have to Be as good as a Pinterest or a TripAdvisor. Eventually. Not right away, but eventually. Because, ah, it's so competitive to win in this, like, large world of SEO.”
Gustaf Alströmer Aug 15, 2019 ▶ 30:51
Insight
Alströmer: Early-stage startups should not focus on A/B testing
“Most of you guys don't have to focus on A-B testing at all. It won't matter for a long time. It is a great decision making tool later on.”
Gustaf Alströmer Aug 15, 2019 ▶ 33:17
Assertion Not checkable as stated
Alströmer: Custom share sheet outperformed native iOS sheet by 40% at Airbnb
“So at Airbnb, we launched, ah, a new sharing sheet for the mobile app. And this was the old version, which was the native share sheet that you've seen on iOS. Ah, you click on share, and then you see a bunch of sharing options. And then we just tried this new …”
Gustaf Alströmer Aug 15, 2019 ▶ 35:31
Assertion Not checkable as stated
Alströmer: Mandatory signup wall increased Airbnb iOS bookings by 2.6%
“We got 2.6% more bookings from iOS by making people sign up through a sign-up wall in the app.”
Gustaf Alströmer Aug 15, 2019 ▶ 37:07
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 300 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.