ANNOUNCER: Please welcome Stripe cofounders, Patrick and John Collison.

PATRICK COLLISON: Good morning. This is, by far, our largest Sessions ever; more than twice as large as last year. (Audience applauding.) And that we can all come together like this as a testament both to the vibrancy of the internet economy today but also to the growth of the Stripe community. So we want to start out by simply saying thank you to all of you for working with us.

JOHN COLLISON: And thank you for joining us here at Moscone, braving the San Francisco cold. We’ve got a packed agenda for you over the next two days including breakout tracks for enterprises, platforms, and developers.

PATRICK COLLISON: So tomorrow morning, John’s going to be sharing his take on the future of payments. Can you summarize that in a sentence?

JOHN COLLISON: No.

PATRICK COLLISON: Okay, well. You’ll just have to come tomorrow. And then we’ve got fireside chats with Former Treasury Secretary Larry Summers and also very current NVIDIA CEO Jensen Huang.

JOHN COLLISON: Then Pat will be holding a live Q&A here on this stage tomorrow morning.

PATRICK COLLISON: So you can submit and you can upvote questions in the Sessions app, so you can keep that in mind over the course of everything you hear today and tomorrow.

JOHN COLLISON: Please actually submit questions in the app because if we don’t have enough questions, Pat will just be free associating about things top-of-mind, and you really don’t want that, so we’ll get some good questions.

Seeing this many of you here today puts in stark relief how much things have changed. It wasn’t that long ago that we were talking to very different customers at a very different scale about very different problems. In fact, the last time we were here at Moscone was for WWDC in 2007 and we actually weren’t allowed into this room.

PATRICK COLLISON: We were 16, what did you expect?

JOHN COLLISON: No, no, it wasn’t that. It was the first WWDC after the iPhone was introduced and this room was full so we were kicked out to the overflow room. So if you’re watching this from the overflow room, please know it gets better.

PATRICK COLLISON: Hey, the point is we never expected to end up here and so we just continued where John left off. Two years after that, in 2009, we decided that we just heard too many of these stories about the struggles and the challenges for getting up and running with accepting online payments. But I very clearly remember [when] we were walking back from dinner and John turned to me and he said, “We should just build a prototype. It can’t be that hard.”

JOHN COLLISON: Joke’s on us, yeah. Here we are 15 years later. We were chatting recently and reflecting on how, when we set out, there were two things that were going to change in a big way that weren’t apparent at the time. Firstly, that the payments landscape was about to change enormously, and we’re going to talk more about this soon. But secondly, that the problem that businesses were facing wasn’t just about payments.

PATRICK COLLISON: So on our first website, we had this statement here. This is actually what it looked like. Don’t judge us. We had this statement: “We believe that enabling transactions on the web is a problem rooted in code, not finance, that the core of Stripe is about code.” So because Stripe involved new kinds of APIs, we heard a lot of sort of unexpected and interesting feature requests over the subsequent years. So in 2012, Lyft came to us, and they asked us about driver payouts. Then a couple of years later, Shopify came to us and they asked about building spending accounts and issuing corporate cards for their merchants. And then during the pandemic, United Healthcare came to us to talk about modernizing money movement across the healthcare sector. And many more instances like these.

JOHN COLLISON: These new use cases aren’t about payments in the traditional sense. The problem is broader. What businesses want, we realized, is software-defined financial services, a layer that knits together the existing financial ecosystem in such a way that money becomes programmable in real-time and with comprehensive global coverage where you have rich data to enable business insights and ML. So that’s what Stripe is building.

PATRICK COLLISON: So 2024 brings us to an important juncture. What we hear from all of you is there are three things that are especially top-of-mind at the moment. First, the growing complexity of the financial landscape. So both the payment method level where you have RTPs, and BNPLs and crypto at the partner level. And even at the governance level, our regulators are getting a lot more assertive. Even though this is a lot to deal with, it’s also a big opportunity. So here’s a chart of the number of internet users who possess an electronic payment method. And as you can see here, there’s been a real explosion over the past five years. 2019 was not that long ago. More than a billion new participants in the internet economy since just before the pandemic.

JOHN COLLISON: The second is AI. If you’ve driven on [Highway] 101 and seen the billboards, you’ve probably heard of it. It’s obviously a platform that will matter for the coming years. On AI, you’ll see how we’re using LLMs, transformers, and deep neural networks to optimize every part of Stripe in service of your business.

PATRICK COLLISON: We’ve actually been training our own proprietary foundation model on financial data.

JOHN COLLISON: Our secret foundation model that is not announced.

PATRICK COLLISON: We’ll share more in the future.

Okay, and then interoperability. So because of this growing ecosystem complexity we were just discussing, it’s pretty hard for businesses to commit to monolithic solutions. And Stripe has, traditionally, as you guys know, been a kind of all-or-nothing proposition. So we’re going to share some updates on that front very shortly.

JOHN COLLISON: Before we get into that, two things. Firstly, I want to address the elephant in the room. A lot of you have asked if the session is happening today on 4/24/24 because our longstanding test card 424242 actually expires this month. But no, it was just fortuitous.

Secondly, on a more serious note, we want to give you a quick sense [of] what the Stripe ecosystem and everyone building on Stripe looks like these days. So last year, businesses built on Stripe processed slightly more than a trillion dollars of transactions. A trillion dollars, hard to know what to think of that number. Maybe I’ll ask Larry Summers tomorrow to put it in perspective. But one way you can look at it is that it’s 1% of global GDP—a truly staggering amount and definitely not what we were imagining when we started out. And because of this there [are] a lot of optimizations that we can invest in that wouldn’t make sense for any one individual business to build, but we can learn from all of you and the enormous data set on Stripe and make improvements with that.

PATRICK COLLISON: On top of that, there are also data ecosystem benefits. So if you think about things like fraud detection or KYC screening [or] authorization rates, so many of the core functions in Stripe benefit from the aggregate scale of the Stripe network.

JOHN COLLISON: Stripe gets better because of all of you, and that’s a recurrent theme that you’re going to hear over the course of today.

PATRICK COLLISON: So, while Stripe is now one of the larger infrastructure companies in the world, one of the less understood parts of our strategy is we care equally about both ends of the continuum. So both the world’s most innovative new businesses and also the world’s most established businesses.

JOHN COLLISON: Among startups, we’re proud to be powering all of the leading AI companies, including OpenAI, Mistral, Perplexity, Anthropic, Hugging Face, [and] Monumental, who designed the statue downstairs. If you’re in the market for a quick, cheeky statue...

PATRICK COLLISON: Monumental will have you covered. Okay, and then at the other end of the continuum we’ve seen really substantial growth in our global enterprise segment over the last year. So last year, at Sessions we mentioned our expanding work with Amazon. They’ve been joined by a whole host of new use cases for the past year. And so, this year, we’ve been enabling in-aircraft transactions with Alaska Airlines, which is a pretty cool Tap to Pay on iPhone use case. There’s Best Buy, they’re selling prescription medical devices with Stripe. Hertz is using Stripe Terminal to upgrade the car rental experience. We’re working with Zara, River Island, Urban Outfitters, and many other global brands. And whatever the scale, your trust is the most important thing to us. And the context of our product... We know that many of you build your roadmaps around ours and so that’s why we’re excited to share all of the updates that’ll come over the course of this morning.

JOHN COLLISON: It’s also why we want to look back at what we announced at Sessions last year. At Stripe at least, you’re not allowed to construct your goals for the upcoming period without grading your goals for the previous period. So we should grade what we did and what we said at Sessions last year. So we showed our Optimized Checkout Suite, which is now live with over a hundred built-in optimizations. We told you we’d add one-click bank account payments to Link, and we did. We showed our Terminal S700 device, and that actually took a little longer than we wanted to get live. We’re going to grade that yellow, but it’s now live and we’re really happy with the reception that we’ve gotten from all of you. You can check it out downstairs if you want to see it.

PATRICK COLLISON: We previewed our Docs AI. That’s now live at docs.stripe.com. You’ll hear a lot more in a similar vein this morning. We told you we’d enable a whole host of new card network features. So overcapture, multicapture, incremental auth, extended auth… they’re all now live. We said we’d roll out our new revenue reporting product and we actually ended up delaying that launch a little bit because we decided we wanted to expand the feature session. So that’s going to come in an improved fashion later on this year.

JOHN COLLISON: We showed you Sigma Assistant, which lets you write SQL queries with natural language prompts. That’s now available for all of you. And lastly, we showed our embedded components strategy for Connect and we’re super excited about that. So, basically, everything that we showed last year [is] now up and running and a whole host of more improvements.

PATRICK COLLISON: Okay, so that’s last year. As you guys might know our mission is to increase the GDP of the internet, and our strategy is to look for common patterns across the Stripe ecosystem and to hunt for important new use cases even when they’re nascent and to listen to new needs among you guys, the most innovative new companies in the world. And so to give you a sense for how all this works in practice, we’d like to invite to the stage Will Gaybrick.

WILL GAYBRICK: All right. Thank you, guys. So hello. We’re going to cover a lot today, including a bunch of brand spanking new things that were just launched today, and we’re also going to give you a sneak preview of some things to come. But before we get to any of that, many of you have asked where we are in Stripe’s journey building out a comprehensive set of software-defined financial services. Well, Stripe launched back in 2010, after that fateful “how hard can it be” conversation helping companies initially just accept credit card payments in the US. So today we offer a ton of payment methods, surfaces, and advanced features, fraud prevention, in-person payments. We actually own a hardware manufacturing company for payments terminals and a whole lot more. And this is our Global Payment Suite. It’s all designed to increase your revenue, decrease your payments costs, and create truly excellent payments experiences.

In parallel, we built solutions for marketplaces and platforms. This started in 2012, when we launched Stripe Connect to orchestrate multiparty payouts. Connect’s functionality has steadily grown, and today you can build full-fledged financial services businesses on top of Stripe. Everything from embedded payments to card issuance, treasury management, and financing. So this is our Embedded Payments and Finance Suite.

And then in 2018, we launched Stripe Billing to support simple subscriptions. And today, by most measures Stripe is the largest billing software provider in the world. You can use Stripe to send invoices, calculate taxes, do revenue recognition and reconciliation, and a whole lot more. So this is our Revenue and Finance Automation Suite. It helps you evolve your business model with agility and efficiency. So global payments, embedded payments, and revenue and finance automation.

Let’s get started with global payments. There is a misperception of payments as a glacially moving landscape. But as you all know, and as Patrick and John just mentioned, it’s actually changing faster than it ever has before. Payment methods are proliferating, regulations are more fragmented, and exacting fraudsters are getting more sophisticated. They have LLMs now and your customers are more global. Now, for example, you can see here just how fast some of the newer payment methods are growing relative to established options. So what does all this change mean for you as business leaders? Well, broadly it means that you have new opportunities to drive growth by increasing conversion and lowering costs, and you’re navigating a great deal more complexity.

So, to help you, we’re doing two things. First, before the transaction, our Optimized Checkout Suite enables you to craft and hone your checkout experience with high velocity and leverage. And second, once the transaction has been submitted, our Advanced Payments Engine boosts your auth rates, reduces your fraud and costs. And across both, we’re bringing to bear Stripe’s massive scale to optimize your performance and putting AI to work for the whole payment stack. So let’s dive in. And to get us started, here’s Neetika, who leads payments engineering at Stripe.

NEETIKA BANSAL: Thanks, Will. We introduced the Optimized Checkout Suite at Sessions last year. It’s a set of prebuilt payment surfaces, plus the infrastructure behind them, and these surfaces are completely customizable and embeddable to match your brand. They include over a hundred optimizations—things like language localization, form validation, input masking, CVC hints, and all the things shown here that boost conversion. Our Optimized Checkout Suite is now used by the fastest-growing companies in the world like OpenAI; global enterprise retail brands like River Island; B2B leaders like Slack; and many, many more.

Since [the] last Sessions, we’ve made major upgrades. We’ve more than doubled the number of payment methods we support, from 50 to over 100. This now includes Amazon Pay, Revolut Pay, Zip, TWINT, and Swish. In fact, we’ve added more payment methods in the last 12 months than the last 12 years. And you can toggle on payment methods directly from your Stripe Dashboard.

Now that you have access to all of these payment methods, how do you decide which ones to present to each customer? It’s sort of like trying to choose a show to watch on a Friday night. You need that Netflix recommendation engine. Well, this is where AI comes into play. Our models, trained on millions of businesses and trillions in cumulative payments volume, present the right payment method to your customers at the right time to maximize your conversion. They take into account things like location, currency, device type, browser, transaction amount, [and] even subtle things like commerce patterns in your sector or past buying behavior of that customer. Stripe’s AI-based payment method presentment results in a 3% uptick in conversion and a 7% increase in average transaction value. So more users are buying and they’re buying more.

While our ML models will boost your revenue, no one knows your business like you do. So today we’re adding two key ways of giving you all more control. First, we’re introducing our payment method rules engine, which will allow you to orchestrate payment method presentment. We hear from you often that you want to implement rules, like only showing a given payment method for certain basket sizes. Well, now you can make that happen right here in your “Payment method settings” page without writing any code. Second, starting today you can build and run A/B tests of different payment method configurations directly from your Dashboard. This is actually a first in the industry. Nobody else offers A/B testing. And let me show you how it works.

So say I work at an outdoor retailer named Galtee. I’m going to set up an A/B test to see the impact of adding a new payment method to Galtee’s checkout. I wonder about the ROI of adding a new buy now, pay later payment method and if it even works with my customer base. So here we are in the “Payment method settings” page, and I can just hit this “Create an experiment” button. So for my control group, I’m going to use my current checkout setup, which has no BNPLs, and for my treatment group, I’m going to scroll down, toggle on “Klarna.” And as I mentioned earlier, I want to use our payment method rules engine to only trigger Klarna for transaction amounts of greater than $50. Now I can save this rule, and I can pick a treatment size for my experiment. I want to run this experiment for 20% of my traffic. And look, the very helpful LLM has already given our experiment a name, and I can just hit “Start experiment.” And that’s it. You have now an A/B test running in production in just a few seconds.

I’m going to fast forward a few weeks and show you what [the] results of an A/B test look like. So I’m just going to pick an experiment that I’ve already run. I can just hit “View report,” and there it is. With a 5.6% increase in conversion, adding Klarna to your checkout looks like a really good idea. You can note that all findings are statistically significant. So there you have it: a powerful A/B testing tool right in your Stripe Dashboard.

You tell us that your engineering resources are limited. So that’s what’s cool about this demo. You don’t have to make any frontend changes. You don’t have to make any server side changes. You don’t have to bother with complex payment method presentment logic. With the Optimized Checkout Suite, you can easily wield the power of over 100 payment methods. Back to you, Will.

WILL GAYBRICK: So there are a truckload of other updates we made to our Optimized Checkout Suite and one to highlight: Adaptive Pricing, which dynamically localizes your prices across 40 countries. Amazingly, our data shows that for every six international sales you make, you’ll probably get a seventh because of the conversion uplift from Adaptive Pricing. And with our Optimized Checkout Suite, you get Adaptive Pricing, everything Neetika showed you, and everything else that hundreds of Stripe engineers are building for you today, next quarter [and] the one after, and for years to come. In other words, the Optimized Checkout Suite will have a compounding impact on your revenue. And that’s what our data shows.

Last year, we shared that our Optimized Checkout Suite boosts revenue by about 10.5% based on a rigorous test across 10,000 Stripe users. Well, we’ve now made a ton of improvements, so we reran the numbers. And on average, businesses saw an 11.9% increase in revenue just from upgrading to Stripe’s Optimized Checkout Suite. So let me say that again. The Optimized Checkout Suite boosts your revenue by 11.9%. This is based on all of the improvements that we just spoke about and many more we didn’t have time to cover, but it goes beyond payment forms.

In fact, a couple years back, we asked ourselves, could we do away with payment forms entirely? Well, we realized that we couldn’t do this alone. To make this happen, you all need each other. The person to your left, the person to your right—take a moment, turn and shake their hands. I’m just kidding. Not that kind of conference. But Tony Robbins, we are thrilled to have you as a Stripe user.

So let’s take a second and talk about Link. The core premise behind Link is that you all could help each other streamline checkout and improve customer experience. With Link, users, your customers, save their payment information to Stripe when they’re checking out on an optimized checkout surface. Then when they come across another Link-enabled surface, they can check out with just one click. So you might create a Link account when you’re [buying] coffee from Blue Bottle and then use it seamlessly to pay for ChatGPT Plus.

But Link is about much more than just streamlining checkout. It is now creating novel payments experiences. Consider paying with your bank account in the US. You all have asked for this for years, but we couldn’t build it right before Link. Authenticating your bank account is simply too friction-full. You slog through all of those screens, bounce to your banking app, twiddle your thumbs through the latency of old bank mainframe infrastructure, and very often, you just abandon the flow. So this kills conversion and undermines the whole value proposition. Well with Link, your customers only have to save their bank account once and they can pay with it with just one tap on any optimized checkout surface.

At Sessions last year, Uber announced that they were starting to use Link for bank payments. A year [out], Uber is now saving over 50% in per-transaction costs when customers pay with their bank account using Link. They’ve rolled it out to all rides and deliveries in the US. In fact, we’d love for all of you to try it, so we’re giving everyone here $20 off on your Uber ride home if you pay with Link and use your bank account. You should have already got a notification in your Sessions app. So Link is probably our single most powerful lever to increase your revenue and decrease your payments costs. It’s accepted by hundreds of thousands of companies including Anthropic, MetLife, and for all those golf lovers out there, the PGA. If it’s not live in your Stripe integration today, you can turn it on from the Dashboard in just a couple of clicks.

Now, bringing all of this together, let’s hear directly from a Stripe user about upgrading their payments infrastructure. URBN is the parent company of retail brands including Urban Outfitters, Free People, Nuuly, and Anthropologie. Please welcome the CTO of URBN, Dave Hayne.

DAVE HAYNE: Good morning. Everything we do at URBN is grounded in our passion for creativity and our customer-first mindset. Our goal is to give our customers the products and experiences they want, no matter how, when, or where they shop with us. We were early adopters of ecommerce all the way back in the late ’90s because we saw how willing and even excited our customers were to engage with us online. Today, our digital channels are the main way we engage with customers, and ecommerce represents over 50% of our global revenue. Technology has evolved rapidly in the 25 years I’ve been at URBN, and our customers’ expectations have too. We must stay nimble to provide the best-in-class experience we’re known for. So that’s why URBN chose to build our ecommerce platforms from the ground up to have full control of the customer experience. That’s why we chose to launch a clothing-rental platform called Nuuly with all frontend and backend systems built in-house, and that’s why we’ve partnered with Stripe to power the payments experience across our brands in all North America stores and websites.

So now thanks to Link, our web and app customers have a frictionless way to pay with their bank account, which in turn lowers our payments costs. And Stripe Terminal, which is being deployed in all of our North American stores will create a unified experience across online and in-store transactions. Stripe is not just helping us with payments; we really view them as a data platform. Stripe’s data can help drive down fraud, and we’ve seen increased checkout speeds both in stores and online. Like our early embrace of ecommerce and the custom digital platforms we’ve built in-house, we know that a seamless payments experience is not only something our customers want, but it’s essential for our business. And with our Stripe partnership, we are very excited to innovate together well into the future. Thank you.

WILL GAYBRICK: Thank you, Dave. It’s so cool to see a customer-obsessed company like URBN bringing its brand to life directly on Terminal readers. And it’s not just URBN. Stripe Terminal is now being used by some of the world’s largest companies including Hertz, Alaska Airlines, as Patrick mentioned, and Shopify. And in fact, there are now over 600,000 Stripe readers accepting payments in the wild. Our newest reader, the S700, is now generally available in 23 countries. We’re shipping offline mode, a bunch of POS and PMS integrations, and everything else you can see here.

Okay, so far we focused on everything leading up to your customer initiating a transaction [by] clicking “Buy.” Once the payment has been submitted, the game is now maximizing authorization rates while minimizing fraud and costs. So let’s talk about Stripe’s Advanced Payments Engine. We work with some of the most sophisticated payments teams in the world, and a major reason that they choose Stripe is the power of our Advanced Payments Engine. It has a ton of functionality and coverage [for] things like support for major local debit networks around the world, network tokens across 46 countries, real-time card account updater, and a slew of advanced card features. But even more powerfully, we use AI to do a ton of dynamic tuning. Payments amenable to nearly infinite optimization. Every payment involves a ton of decisions: the gateway choice, network token or PAN, BIN level, ISO message formatting, cross gateway retries, dynamic MCC selection, and so on and so on.

We orchestrate all of this to give you industry-leading auth rates that we’re continuously improving using machine learning. Here you can see the increase in Stripe’s auth rates over the last few years. And we’re doing this in partnership with major financial institutions. Last year, we announced our Enhanced Issuer Network (EIN). We boost auth rates by sharing out-of-band data directly with issuers in real time during the transaction. We’re continuously improving our coverage, growing the network. And today I’m excited to announce that American Express has joined the EIN, bringing coverage to nearly 40% of Stripe’s US payments volume.

So American Express and Stripe are now working together to deliver higher authorization rates to all of you, thanks to the scale of Stripe’s network. And our leadership in payments performance is validated by industry analysts. Stripe continues to be rated best-in-class for enterprise merchant payments. The most recent Forrester Wave concluded just a few weeks ago. Stripe received more top scores than any other vendor evaluated, including in the category of payments performance optimizations. So there are a lot of reasons why Stripe is a strategic partner to many of the largest enterprises in the world but perhaps foremost among them is reliability. Over the past year, we’ve consistently maintained API success rates above 99.999%. That’s 26 seconds of downtime per month. So today, based on what we’re hearing from all of you, we can confidently say that Stripe is the most reliable payments provider anywhere on the internet.

But sometimes when someone clicks “Buy,” you don’t want that transaction to go through because it’s fraudulent, and that’s where Stripe Radar comes in. Here to tell us more about it is Tanya, Stripe’s head of product marketing.

TANYA KHAKBAZ: Stripe Radar detects and blocks fraud using machine learning that trains on data across millions of companies and across more than [a] trillion dollars processed on Stripe a year. Since the pandemic, we’ve seen a huge surge in online fraud, which is up 11% in the last year alone. But in that same time, Radar dispute rates dropped by 10%. So online fraud is up, but thanks to our advances in ML, your fraud is down. This continues a steep decrease in fraud rates on Stripe, going all the way back to 2017. In less than 100 milliseconds, Radar assesses more than 1,000 characteristics of a potential transaction in order to determine the likelihood that it’s fraudulent. As you can see here, Radar is getting better with each passing year. Today I’m excited to announce we’re expanding Radar coverage to noncard payments, starting with ACH and SEPA payments later this year. We’ve applied the same ML architectures that Radar uses for cards to new models for ACH and SEPA. These models have blocked 16% more SEPA fraud and 31% of ACH chargebacks.

Now, like a cheese pizza, Radar is great out of the box. But also like a cheese pizza, sometimes you want to customize. With Radar for Fraud Teams, you can customize Radar to perform how you need it for your business. To make this easier, today we’re launching two things. First, fraud insights, which makes it easier to know which rules to write based on live monitoring of fraud patterns for your specific business. And second, Radar Assistant powered by AI, which lets you use natural language prompts to write your Radar rules. You can kind [of] just tell it what to do. So that’s Radar continually adapting and improving.

Now we’ve given you a quick tour of how our Advanced Payments Engine delivers improved performance and continually adapts to changes in the payments landscape. But zooming out, something we’ve heard from you [about] is that, both before and after transactions are initiated, you want better observability of how your payments setup is performing, as well as clearer recommendations for how to further improve it. This is why we built the Payments Insights Hub. It’s coming later this year, and I’m going to give you a sneak peek.

The Payments Insights Hub gives you a comprehensive view of your payment setup with quantifiable suggestions for how to improve it. It might recommend changes to your payment method’s logic, or it’ll flag cost savings you could realize by passing L2 and L3 data. It’ll show you precisely where you have a conversion drop-off. For example, here’s 3DS in your conversion funnel, and you can see the Insights Hub is suggesting that taking a bit more risk by authenticating fewer payments will have a strongly positive ROI.

Now I’m excited to share one more update for those of you with more sophisticated and scaled businesses. A lot of you run multiple Stripe accounts for your business covering different GOs or business lines. And real talk, it’s been challenging for you to have a single unified view across all of these entities. So today we’re announcing Organizations, which will let you bring your Stripe accounts together under one roof and make operating at scale much easier. It’s like a family reunion you actually want to go to. Love you, Uncle Charlie. Let’s take a look.

So here we are, back to that demo account that Neetika was showing you with our outdoor retailer, Galtee. This is the Stripe Dashboard for Galtee’s US operations. You can see here that Galtee has a lot of different international accounts. So I want to bring all of these different international accounts from Australia to Brazil, etc., together under one organization. I can do that right from the Dashboard. So I just create an organization. I will call it Galtee Inc. Select all my accounts, authorize, create, and that’s it. No code required. And in literally seconds, you’ve connected all your Stripe accounts into one organization. Now you can see an overview of the payments performance right here in the Dashboard. Because Organizations is integrated with Sigma, our host data warehouse, you can easily run queries across your whole organization to get insights about your business.

So say, for example, you’re wondering if that Black Friday promotion generated repeat customers. I’m going to use Sigma Assistant right here. What’s really cool about Sigma Assistant is that I can use natural language prompts without actually having to write SQL. So I’m going to write here how many customers from each account made a purchase on Black Friday 2023 and have made another purchase since then. Okay, great. So I hit “Run” here. It’s processing. It’s taking that natural language, and it’s generating the SQL. I didn’t have to ping an engineer for that. And it’s running across all seven of my accounts. And all right, I can see here the total. It’s about 80,000 repeat customers.

Xero and Atlassian are beta users. They’ve both told us that their reporting process takes less than a third of the time it used to. And there’s a lot more you can do with Organizations, like searching across accounts to centrally managing your team. You can request access today. Now, the point is, as you grow on Stripe, your operational overhead shouldn’t grow in tandem. You’ve asked us for better insight both on your individual payments experience and how your Stripe accounts are working and that’s what our Payments Insights Hub and Organizations are designed for. Back to you, Will.