Welcome to Salesforce's Fiscal 2025 first quarter results conference call. All lines have been placed on mute to prevent any background noise. After the speaker's remarks, there will be a question and answer session. If you'd like to ask a question during this time, simply press star followed by the number one on your telephone keypad. If you would like to withdraw your question again, press the star one. I would now like to hand the conference over to your speaker, Mike Spencer, Executive Vice President of Finance and Strategy and Investor Relations. Sir, you may begin. Thanks, and good afternoon. Thanks for joining us today on our fiscal 2025 first quarter results conference call. Our press release, SEC filings, and a replay of today's call can be found on our website. Joining me on the call today is Marc Benioff, Chair and CEO, Amy Weaver, President and Chief Financial Officer, and Brian Millham, President and Chief Operating Officer. As a reminder, our commentary today will include Non-GAAP measures. Reconciliations of our GAAP and Non-GAAP results and guidance can be found in our earnings materials and press release. Some of our comments today may contain forward-looking statements that are subject to risks, uncertainties, and assumptions, which could change. Should any of these risks materialize or should our assumptions prove to be incorrect, actual company results could differ materially from these forward-looking statements. A description of these risks, uncertainties, and assumptions, and other factors that could affect our financial results is included in our SEC filings, including our most recent report on Forms 10-K, Forms 10-Q, and any other SEC filings. Except as required by law, we do not undertake any responsibility to update these forward-looking statements. And with that, let me hand th e call over to Marc. All right, hey, thanks so much, Mike. I'm really excited for the call today 'cause there's two things that I'm really been looking forward to talking about. First is our incredible financial transformation, and as you can see from the numbers today, and the second is the incredible work that's happening with artificial intelligence. Look, first of all, in Q1, we delivered $9.13 billion in revenue, up 11% year-over-year in both nominal and constant currency. Subscription and support revenue grew at 12% year-over-year and 13% in constant currency. For the 11th year in a row, Salesforce is still ranked the number one provider worldwide by market share based on the latest IDC Software Tracker. I mean, that really gets to a core part of our technology transformation that I'm gonna get to, which is the transformation to AI. Because we are the number one CRM provider, we're now managing more than 250 PB of data for our customers. This is gonna be absolutely critical as they move into artificial intelligence. Now also, let's turn to our financial guidance. For fiscal year 2025, we're maintaining our revenue guidance at $37.7 billion-$38 billion, growth of 8%-9% year-over-year, and we now expect fiscal year 2025 subscription and support revenue growth to be approximately 10% year-over-year in constant currency. As you can see from our results, we remain committed to profitable growth at scale, and I would also say incredible cash flow, and then continue to expect fiscal year 2025 Non-GAAP operating margin of 32.5%, a 200 basis point improvement year-over-year. I'm extremely proud of our team's focus and determination to deliver this world-class financial result, including this cash flow and profitability in the quarter. And Brian and Amy will discuss Q1 performance in much greater detail. As I said, I couldn't be more excited about the opportunity ahead for Salesforce, not only with these incredible financial results, but in the incredible transformations that we're leading with our customers in artificial intelligence. Every company in the world, across every industry, is being transformed by AI in the next few years. And when you look at the power of AI, you realize the models and the UI are not the critical success factors. It's not critical where the enterprise will transform. There are thousands of these models, some open source and some closed source models, some built with billions, some with just a few dollars. Most of these will not survive. They're just commodities now, and it's not where the intelligence lies, and they don't know anything about a company's customer relationships. Each day, hundreds of petabytes of data are created that AI models can use for training and generating output. But the one thing that every enterprise needs to make AI work is their customer data, as well as the metadata that describes the data, which provides the attributes and context the AI models need to generate accurate, relevant output. And customer data and metadata are the new gold for these enterprises, and Salesforce now manages, as I mentioned, 250 petabytes of this precious material. We have one of the most and largest repositories of front office enterprise data and metadata in the world, and every day, more companies are adopting Salesforce as their front office, bringing all their structured and unstructured data into our platform. Nearly half of our top 50 wins in the quarter included six or more of our clouds. That really speaks to the comprehensive nature of our strategy. It's incredible, and many of these customers have essential business and customer data that exists outside of Salesforce that's trapped in thousands of apps and silos. It's disconnected. That's why we're seeing this incredible momentum with our Data Cloud, our fastest-growing organic and our next billion-dollar cloud. It's the first step to becoming an AI enterprise. Data Cloud gives every company a single source of truth, and you can securely power AI insights and actions across the entire Customer 360. Now, let me tell you why I'm excited about Data Cloud and why it's transforming our customers and how it's preparing them for this next generation of artificial intelligence. Data Cloud was included in 25% of our million-dollar-plus deals in the quarter. We added more than 1,000 Data Cloud customers for the second quarter in a row. Eight trillion records were ingested in the Data Cloud in the quarter, up 42% year-over-year, and we processed two quadrillion records. That's a 217% increase compared to last year. Over 1 trillion activations drove customer engagement, which is a 33% increase year-over-year. This incredible growth of data in our system and the level of transactions that we're able to deliver, not in just in the core system, but especially in Data Cloud, is preparing our customers for this next generation of AI. And last month, we created a Zero Copy Partner Network with partners including Amazon, Databricks, Google, IBM, Microsoft, and Snowflake, so customers can access this live data from anywhere in Data Cloud without copying or moving it. It's the engine of our future growth, and this is the engine of our future artificial intelligence growth as well. As you know, for years, we've delivered predictive AI across all our clouds with Einstein. Einstein is generating hundreds of billions of predictions per day, trillions per week. Now, we're working with thousands of customers to power generative AI use cases with our Einstein Copilot, our Prompt Builder, our Einstein Studio, all of which went live in the first quarter. And we've closed hundreds of Copilot deals since this incredible technology has gone GA. And in just the last few months, we're seeing Einstein Copilot develop higher levels of capability. We are, we are absolutely delighted and could not be more excited about the success that we're seeing with our customers with this great new capability. Saks, a leader in the luxury fashion market, part of Hudson's Bay, went all in on Salesforce in the quarter. CEO Marc Metrick is using AI to create more personal experiences for every customer touchpoint across their company. With our Einstein 1 Platform and Data Cloud, Saks can unify and activate all its customer data to power trusted AI. Another great story is FedEx, a company that we all know, bringing together previously siloed information. It's the leader in getting packages delivered quickly. Of course, how are we gonna now deliver a more productive, more efficient, and more profitable FedEx? The Salesforce data and app and AI capabilities generate expense savings. This is the core efficiency, while growing and accelerating top-line revenue. This is the effectiveness that we're delivering for FedEx. This efficiency includes next best action for sellers, automated lead nurturing, Slack for workflow management, opportunity scoring, a virtual assistant, AI on unstructured data for delivering content to sales and customer service. When we think about effectiveness, we see our journey builder delivering hyper-personalization, integrating customer experiences across service, sales, marketing, the ability to tailor and deliver customer experiences based on a Customer 360 view. When we look at this incredible next generation of capability we've delivered at FedEx, gone now are these days of static business rules that leave customers dissatisfied, asking, "Do they not know that I'm a valued customer of FedEx?" Now, FedEx has not only the power of the Customer but the power of AI to unlock so much more commercial potential by conducting an orchestra of commercial functions that never played well together before. You have a significant opportunity now with Salesforce and this incredible platform that sellers can convince companies to transform all of their incredible capabilities to deliver another level of profitability. I think stories like that are driving our company forward, and it's all driven by the power of artificial intelligence. Another story I'm really excited about in the quarter is Air India, transformed with data and AI. If you don't know about Air India, they're an incredible airline who's acquired multiple airlines to create this amazing platform for India's growth. And with Data Cloud, Air India is unifying Data Cloud across loyalty, reservations, flight systems, and data warehouses. They have a single source of truth to handle more than 550,000 service cases each month. And now with Einstein, we're automatically classifying and summarizing cases and sending that to the right agent with recommended next steps and upgrading in high-value passenger experiences. Even when things happen, like a flight delay, our system is able to immediately intervene and provide the right capability to the right customer at the right time. All of that frees up agents to deliver more personal service and create more personal relationships, a more profitable, a more productive, a more efficient Air India, a company that's using AI to completely transform their capability. Well, we're looking forward to talking to you more in this call about these incredible transformations, the financial transformation that we've gone through with these incredible cash flow and margin numbers, and this incredible artificial intelligence transformation. And now over to Brian. Hey, thanks, Marc, and thanks to all of you for joining us today. I also want to thank the team for their hard work this quarter. As Marc said, we're incredibly well positioned for this AI transformation. We're the number one AI CRM, innovating at a pace I've not seen in my entire career. I could not be more excited about the opportunity ahead. We're seeing good demand as AI technology rapidly evolves and customers recognize the value of transforming into AI enterprises. CEOs and CIOs are excited about the opportunity with data and AI and how it can impact their front-office operations. We continue to focus on our growth levers of multi-cloud deals, international expansion, industry solutions, the Salesforce ecosystem, and of course, the data and AI innovations across all of our clouds. Now, let me briefly address the buying environment. We continue to see the measured buying behavior similar to what we experienced over the past two years. With the exception of Q4, where we saw stronger bookings, the momentum we saw in Q4 moderated in Q1, and we saw elongated deal cycles, deal compression, and high levels of budget scrutiny. In addition, in Q1, as part of our ongoing transformation, we made some intentional changes in our go-to-market organization to drive long-term productivity and create better customer experiences, which also played a role in the softer bookings performance. At the same time, we are seeing strong momentum in various parts of our business, particularly Data Cloud and industries. We continue to drive our core growth levers. Multi-cloud deals, again, were a highlight for us in the quarter, with six of our top 10 deals, including six or more clouds, showing the depth and relevance of our portfolio. Let me give you just one example of a company that is using Salesforce across the entire front office. CrowdStrike, a leading cybersecurity company and a longtime customer of Salesforce, added Data Cloud, Marketing Cloud, Commerce Cloud, Revenue Cloud, and MuleSoft in the quarter. CrowdStrike already relied on Einstein 1 Sales and Service and Slack, and now they'll use Data Cloud to pull together new and trapped data from data lakes to build a 360-degree view of their customers, helping them align sales and marketing efforts to drive growth. They're also leveraging MuleSoft with incredible results. MuleSoft has helped CrowdStrike accelerate project delivery by 30% and decrease maintenance costs by 20%. Salesforce is now the backbone of CrowdStrike, driving every aspect of CrowdStrike's operation and limiting their reliance on complex, siloed third-party applications. As Marc said, we're seeing impressive growth in our Data Cloud business. In the quarter, 25% of our deals over $1 million included Data Cloud. It's obviously an important growth lever for us, as it brings all of our clouds to life and makes them all better. And we continue to see momentum in Einstein AI with wins at Turtle Bay Resort, Autodesk, and Langley Federal Credit Union as companies transform into AI enterprises. One example is Siemens. Siemens lacked a centralized destination for customers to easily choose the right products and buy on demand. To simplify the buying experience for customers, Siemens worked with Salesforce to develop and launch its Xcelerator Marketplace, an AI-powered digital marketplace built on Einstein 1 Commerce, providing AI-generated product pages, smart recommendations, and self-service ordering. They did it all in just six months. Obviously, AI is not just for our customers. As part of our own transformation, we continue to adopt AI inside Salesforce. Under the leadership of our Chief People Officer, Nathalie Scardino, and our Chief Information Officer, Juan Perez, we've integrated Einstein right into Slack, helping our employees schedule, plan, and summarize meetings and answer employee questions. Einstein has already answered nearly 370,000 employee queries in a single quarter. In our engineering organization, our developers now save more than 20,000 hours of coding each month through the use of our AI tools. These innovations are helping us drive continued efficiencies across the business and accelerate our product roadmaps. We have great momentum with Slack, which again, was included in nearly half of our top 50 deals in the quarter. We also launched Slack AI in February, an amazing innovation that provides recaps, summaries, and personalized search right within Slack. I've personally been using it every day to get caught up on the conversations happening in every channel, and we've seen great traction with our customers with this product. Our customers have summarized over 28 million Slack messages since it launched in February. Rocket Mortgage added Slack AI in the quarter to help its employees save time and close loans faster. They've also leveraged external Slack channels to collaborate with partners more effectively and efficiently, and they've experienced a 60% faster turnaround speed from working with their customers and partners in Slack. On the international front, we had a solid quarter. In LATAM, we had great wins at Celio and Grupo DPSP, and in EMEA, great wins at IHG Hotels and Resorts and John Lewis Partnership. And in APAC, Atlassian and Bank of the Philippine Islands were wins in the quarter. We saw particular strength in our Japan business, with wins at Seibu Prince Hotels Worldwide and Hitachi. Industries was another growth lever for us in the quarter. Half of our top 10 deals included one of our industry clouds. A great example in the quarter was Paychex, a digital HR leader. By leveraging Financial Services Cloud and Data Cloud, Paychex is able to unify their data, delivering better insights and creating a single view of each customer. Using Einstein 1 Sales and Service, Paychex will be able to proactively manage insurance renewals, which means agents can proactively reach out and surface renewal opportunities during any touchpoint with the customer, 30 days, 60 days, or 90 days in advance, driving an increased rate of renewals. In the public sector, the City of Los Angeles chose Salesforce to modernize how the city's four million residents request city services using its MyLA311 system. The city will use Government Cloud and other Salesforce solutions to integrate AI assistance into MyLA311 and modernize its own constituent-facing services, giving residents more self-service options and improving service reliability and responsiveness. Our partner ecosystem always also continues to be a growth lever for us. I'm especially excited about our deep partnership with Amazon as a growth driver for our as we move forward into Q2 and beyond. With Salesforce products now available on the AWS Marketplace, joint customers are able to expedite their deployments through faster buying and billing experiences and flexible budgeting options. In closing, I want to echo Marc in acknowledging the hard work of the team. Our continued success has been made possible by our amazing employees, customers, partners, and Trailblazers. And with that, I will now pass it off to Amy. Great. Thanks, Brian. Q1 represents another quarter of continued discipline and transformation across the business. I am very proud of all of our employees for their continued dedication and hard work. Now, let's go straight to the results. For the first quarter, revenue was $9.13 billion, up 11% year-over-year in nominal and constant currency. The result was at the lower end of our guided range due to continuing pressures on professional services, some licensed revenue volatility, and the continued measured buying environment. Subscription and support revenue grew 12% year-over-year in nominal and 13% in constant currency. As mentioned on our last call, this included a tailwind from the timing of license revenue in MuleSoft and Tableau related to Q4 deals, and a one-point benefit from the leap year. From a geographic perspective, in Q1, Americas revenue grew 11%, EMEA grew 10% or 9% in constant currency, and APAC grew 14% or 21% in constant currency. We saw strong new business growth in Japan, India, and Canada, while the US, parts of LATAM, and EMEA were constrained. From an industry perspective, in Q1, public sector and financial services both performed well, while high-tech and retail and consumer goods were more constrained. Our new offerings for small and medium businesses, Starter and Pro Suite, which are ready-to-use simplified solutions with AI built in, are building momentum. In Q1, we added another 2,300 new logos to these products. Since Starter's launch last year, we've seen customers upgrade to our recently launched Pro Suite and even to our Enterprise and Unlimited editions. Q1 revenue attrition ended the quarter at around 8%, in line with recent quarters. I'm also very pleased that our Non-GAAP operating margin again finished strong at 32.1%, up 450 basis points year-over-year. Our profitable growth trajectory continues to drive strong cash flow generation. Q1 operating cash flow was $6.25 billion, up 39% year-over-year. Q1 free cash flow was $6.1 billion, up 43% year-over-year. Cash flow did benefit modestly from the timing of cash tax payments. Now, to put this cash flow performance in context, we have more than tripled the cash we generated just 4 years ago. Turning to remaining performance obligation, RPO, which represents all future revenue under contract, we ended Q1 at $53.9 billion, up 15% year-over-year. Current remaining performance obligation, or CRPO, ended at $26.4 billion, up 10% year-over-year in nominal. Now, this includes a $200 million FX headwind, which results in more than 10% year-over-year growth in constant currency. CRPO growth was primarily driven by resilience in our core products. However, as Brian mentioned, we did continue to experience measured buying behavior, which is reflected in the moderated Q1 bookings. On capital return, we were incredibly proud to pay out our first-ever quarterly dividend of $0.40 per share for a total of $388 million. Altogether in Q1, we returned more than $2.5 billion in the form of share repurchases and dividends. This brings our total cash returned since the inception of our capital return programs to more than $14 billion. We remain committed to continued capital return and anticipate declaring our quarterly dividend next month, subject to Board approval. Now, let's turn to guidance, starting with full fiscal year 25. A few items to note. First, on the buying environment, we are assuming that the conditions we saw in Q1 continue throughout our fiscal year. On FX, our revenue guidance continues to incorporate a $100 million FX headwind year over year, or about a 30 basis points impact. We also continue to expect our professional services business to be a headwind to revenue, with deal compression and customers delaying or slowing projects. However, we also see continue to see strong demand for Data Cloud and Multicloud adoption. We're seeing benefits from recent pricing and packaging changes, and we're seeing strong industries adoption. These factors are also included in our guide. As a result, on revenue, we are maintaining our guidance range of between $37.7 billion-$38 billion, growth of 8%-9% year-over-year. We now expect subscription and support revenue growth to be approximately 10% year-over-year in constant currency, and we expect attrition to remain generally consistent at slightly above 8% for the full year. As a reminder, starting in fiscal 2025, we include Slack Invoice in the metric, which we expect to create a modest headwind. Now, turning to profitability and cash flow. On margins, we continue to expect fiscal year 2025 Non-GAAP operating margin of 32.5%, representing a 200 basis point improvement year-over-year, following the significant increase last year. This incorporates intentional investment in targeted growth opportunities, notably AI, data, and our core businesses. Stock-based compensation is now expected to be just above 8% as a percent of revenue. The modest increase from our prior guidance is primarily a result of lower voluntary employee attrition in Q1 than in recent years. As a result, for fiscal year 2025, GAAP operating margin guidance is expected to be approximately 20%, representing 550 basis points of improvement year over year. We expect fiscal year 2025 GAAP diluted EPS of $6.04-$6.12. Non-GAAP diluted EPS is expected to be $9.86-$9.94. As a result of our continued margin expansion, we are delivering world-class cash flow, and we continue to expect fiscal year 2025 operating cash flow growth to be approximately 21%-24%, inclusive of cash tax payment headwinds. We also continue to expect CapEx for the fiscal year to be slightly below 2% of revenue. This results in free cash flow growth of approximately 23%-26% for the fiscal year. Now, to guidance for Q2. On revenue, we expect $9.2 billion-$9.25 billion, up 7%-8% year over year in nominal and approximately 8% in constant currency. CRPO growth for Q2 is expected to be 9% year over year in nominal, including a $200 million FX headwind, resulting in 10% constant currency growth. This includes ongoing headwinds from professional services. For Q2, we expect GAAP EPS of $1.31-$1.33, and Non-GAAP EPS of $2.34-$2.36. In closing, I want to emphasize that I am incredibly proud of the company's commitment to disciplined strategic investments and continued productivity gains to drive strong margin expansion and cash flow growth at scale. Of course, I want to thank our employees and our shareholders for their continued support. Now, Mike, let's open up the call for questions. Thanks, Amy, and thanks, everyone, for joining. When we go to Q&A, we ask that each participant limit themselves to one question. With that, Rob will take the first question. Thank you. We'll now begin the question and answer session. If you would like to ask a question, please press star one on your telephone keypad to raise your hand and join the queue. Our first question comes from the line of Keith Weiss from Morgan Stanley. Your line is open. Excellent. Thank you guys for taking the question. I appreciate all the detail on sort of the growth drivers and what you guys are excited about in the business. But the quarter did come in below your expectations for CRPO growth, and we all look at that as a forward indicator. But you're not taking down the full year revenue guide, and so I was hoping you could help us get comfortable on why that's not leaving risk on the table and why you guys feel comfortable that that original fiscal year 2025 guide is still appropriate. Like, why not take it down and make it more conservative and ensure that we can get back to beat and raise quarters on a go-forward basis? Great, Keith. Thanks for the question. I'll take that one. Let me start by saying that there are many factors we have to consider with our guidance, and all in, based on what we're seeing at this time, we continue to believe that we will be within the range we guided. Now, any guide, you know, that is a balancing act, and as Brian called out, we are continuing to see this measured buying behavior. It's really been very consistent for the last two full years at this point, with the possible exception of Q4, where we did see stronger bookings. And you can see the impact of that environment on our Q1 numbers. There's no question about that. ProServe also continues to see more and more pressure as customers are really just looking for shorter duration projects. However, this is really balanced by the demand that we are seeing in our products, and that remains strong. You know, we continue to see good demand on multi-cloud adoption. We're seeing benefits from pricing and packaging changes that we have rolled out over the past year. We're seeing very healthy adoption around our industries projects. I also should point out that our attrition remains, our attrition rates remains very healthy. You know, customers are continuing to rely on Salesforce to run their businesses, and they'll continue to do that. So when I step back and really take a holistic view of the full year, we do feel confident that we will be within our guided range. I'd like to add, I really continue to focus on, exactly like Amy says, this incredible transformation that we've seen with the financials. And obviously, you know, we're delivering some quarter, some numbers this quarter that were beyond our imagination just a few quarters ago. But another point of optimism is not just what Amy said, but also, you know, we see this incredible transformation happening with our customers. And we all know the AI transformation is many transformations. It's a transformation of how we're interacting with software. It's also a transformation of these algorithms, or we call these models that the AI is built on, and it's a transformation of the data that's used by, whether it's consumers or enterprises, to deliver this incredible next level of intelligence. But for enterprises, we know that this customer data and this metadata is really the new gold for these enterprises, and it's a huge driver of growth for our business. We all saw the report from McKinsey. 75% of the value of GenAI use cases is in the front office, and everybody knows Salesforce is the leader in front-office software. That's our fundamental premise for our growth going forward, that we're already managing 250 PB of data and metadata that's gonna be used to generate this incredible level of intelligence and artificial capability to deliver for our customers a level of productivity and profitability they've just never been able to see before. And at the heart of that is gonna be our Data Cloud, and we've seen this Data Cloud... Well, we've seen this deliver for our customers an incredible level of capability in just a short period that we've made it available. It's already included in 25% of our $1 million-plus deals, as I mentioned, and more than 1,000 Data Cloud customers in the second quarter. Again, that's our second quarter in a row. You know, when we look at a quarter where we see huge growth of a new product, it really sets us up, you know, for continued delivery of growth of that incredible technology. But what's the cool thing about Data Cloud is, it's connected to every single one of our clouds.... So it's making our Sales Cloud better, our Service Cloud better, our Marketing Cloud, our Commerce Cloud. Every aspect of Salesforce is better now with this incredible new technology. Another key part of it is, as I mentioned, eight trillion records were ingested into Data Cloud in the first quarter. That was up 42% year-over-year, and two quadrillion records were processed. That's up 217% year-over-year, and over a trillion activations driving customer engagement, up 33% year-over-year. All of that means that we're preparing to our customers for a level of data capability that's gonna give them this next capability of artificial intelligence. And last month, we created the Zero Copy Partner Network with Amazon, Databricks, Google, IBM, Microsoft, and Snowflake that federates our Data Cloud with all these amazing data sources. Look, we really are focused on two things in our company. One is this incredible financial transformation that we've all gone through with you in the last year. The second one is this incredible transformation to artificial intelligence, which is gonna be based on data. I don't think any company is more well-positioned for the future of artificial intelligence and also delivering the kind of metrics that our stakeholders are gonna want than Salesforce. Thanks, Steve. Rob, we'll take the next question, please. Your next question comes from the line of Brad Sills from Bank of America. Your line is open. Oh, great. Thank you so much. I appreciate the commentary on the impact from the tough macro. We're certainly seeing that across the group. Brian, you mentioned also perhaps some impact here from go-to-market changes, which, I guess, shouldn't be a big surprise given all that's going on at Salesforce right now. I wonder if you could just articulate a little bit on that. What are those changes? Is this the kind of situation where it's just some short-term impact that could benefit the sales productivity over the longer term? Thank you. Yeah, Brad. Hey, thanks for the question, and you're exactly right. These are changes that we typically make in the first quarter. It's the most obvious time to make those changes when you start out a new year. These changes are actually intended to be productivity drivers for the future. Absolutely right. We wanna get aligned behind our go-to-market strategy around buyer to make sure that we're aligned to support our customer scale, that we can really support our, our multi-cloud strategy going forward, to ensure our customers know exactly what we can do to support them across our entire product portfolio. And some of the changes that we made were exactly for that reason. How do we ensure that we are aligned behind that strategy to ensure we can go faster in Q2, Q3, and Q4? So, you, you're absolutely right. The changes, while impactful in Q1, are short term, and we expect to see productivity gains from them going forward. Thanks, Brad. Rob, we'll take the next question, please. Your next question comes from the line of Brent Thill from Jefferies. Your line is open. Thanks. Just from a geographic perspective, Europe looked like it was a little weaker. I'm curious if that's where you saw the pronounced weakness in EMEA, or was this pretty consistent across most of the geographic regions? Thank you. Question. Yes, EMEA was weaker in the quarter, you know, frankly, feeling some of the measured buying environment, most pronouncedly. Actually felt it also in the Americas, but there were other pockets around the world that were very strong. You know, Canada was a strong region for us in the quarter. I mentioned our Japan business really accelerated in the quarter, really outstanding performance from our Japan business. So, the big businesses are gonna feel the impact, obviously, of the measured buying environment. In the Americas, more exposure to technology, which I think we all know has been a tough industry over the last several quarters. SMB and other areas of transactional business, these are the areas where we're gonna feel some of those headwinds in the business. So, spot on, EMEA and America sort of feeling the impacts of the measured environments. Thanks, Brent. Rob, we'll take the next question, please. Your next question comes from the line of Kirk Materne from Evercore ISI. Your line is open. Yeah, thanks very much. Maybe for Marc or Brian, but I was just kind of curious, you know, when we think about this measured buying environment, is there any sort of crowding effect around AI that's impacting software in your view? Meaning, you know, when you think about all these companies starting to gear up for this next platform shift, is just the uncertainty of what they're gonna spend on over the next 6-12 months, you know, holding them back perhaps on what their normal sort of pace of spending might be with you all or other enterprise software companies? I know it's sort of an ongoing question, wondering if you all could weigh in. Thanks. Well, let me give you my swing at exactly where we are, and then I'm gonna turn it over to Brian to fill in the detail. You know, I think when you look back over the last four years, you know, Salesforce entered the pandemic in 2020, it's four years ago, almost exactly, you know, about half the size that we're at now. We've doubled our company at scale, you know, from $20 billion to approximately $40 billion. That's how I look at it in my mind. You know, you can fill in the exact numbers. And over that period of time, we saw an incredible surge in the demand and buying environment and in the sales environment, especially during the pandemic. As we entered the post-pandemic reality, we saw companies who had acquired so much software in that time, look to actually rationalize it, ingest it, integrate it, install it, update it. I mean, it's just a massive amount of software that was put in. And so for every enterprise software company kind of has adjusted during the end of this post-pandemic environment. So when you look at all of these companies, especially as you saw them report in the last, you know, 30 days, they're all basically saying that same thing in different ways. When you take AI, that has to be your growth driver for future capabilities for these companies.... AI, when we look at these companies and the stories that we told, you know, on the call, whether it's FedEx or Air India or CrowdStrike or Paychex or any of the huge deals that we did in the quarter, you know, what we're seeing is not only the installation and integration and implementation of the platforms that we've sold in the last four years, but the layering in of this new capability, which is delivering for these companies, you know, a kind of a capability that we weren't able to forecast four years ago. When we saw, like I told you the story of FedEx, like, when we talked to their top executives about what they've delivered, or you take an incredible company like State Farm, who's kind of automated 60 million policyholders, you know, and thousands of agents, they're just able to deliver, you know, at a level of capability, and I said it before, but profitability, employee augmentation, better customer relationships, much higher margins. These are financial metrics that we're able to deliver into these implementations. That's on top of where we were four years ago. So I think that as, and the point I was trying to make here earlier, and I'll keep making, which is the most important thing Salesforce is doing, is not just continuing to automate every customer touch point. This is obviously critical and why we've been able to consume this 250 petabytes of information. But the second key point is, we've rebuilt the way that we are delivering a foundation of data for our customers. Why is that so important? Because as we have now rearchitected all of our apps and all of our capabilities to fuel and fund this data cloud, it means that for our customers going forward, they're going to be able to take this data cloud and leverage that into their future, capability and growth, and especially profitability and productivity. And that is where our whole company, and I think our whole industry, is eventually going to go. Not every company is as well positioned, as you know, for this artificial intelligence capability as Salesforce is, 'cause they just don't have the data. They may say they have this capability or that capability, this user interface, that model, that whatever. All of these things are quite fungible and are expiring quickly as the technology rapidly moves forward. But the piece that will not expire is the data. The data is the permanent key aspect that, as we've said in our, even in our core marketing, you know, it's the gold for our customers and their ability to deliver a next capability in their own enterprises. And Brian, I'll turn it over to you. Yeah. Thanks, Marc. And I, all those things, absolutely true. Marc said earlier, 75% of GenAI benefits will come from the front office, and we're really feeling that right now, in our demand we're seeing from our customers and the pipelines that we're creating out there. You know, solid performance on pipe gen. I do think customers are getting their data estate in order, as a precursor to leveraging AI capabilities, and we're seeing that with the growth of Data Cloud right now. Customers really wanting to bring together many data sources so they can leverage AI in the flow of work and our capabilities. So, I think it's actually a step process for many of our customers. Let's get our data in order, and then let's layer in the AI to really drive the productivity gains that we expect, and so that's, that's really what we're seeing in the market right now, Kirk. Thanks, Kirk. Rob, let's go to the next question, please. Our next question comes from the line of Karl Keirstead from UBS. Your line is open. Okay, great. Maybe I'll, maybe I'll switch subjects. So Marc and Amy, there was some concern in your shareholder base in March and April around media reports related to M&A. I know you can't comment on those reports, not expecting that, but wondering if you could comment on your M&A framework, whether there's been any change to it at all. I think might be helpful. Thank you. Yeah, no, I'd love to talk about that, and I think it's extremely important. I mean, Salesforce has a long history of innovation. Organic innovation, like we've seen today with Data Cloud. Everyone, I'm sure, is extremely impressed with the growth of that product, but also inorganic innovation and a lot of our customer touch points, whether it's our commerce platform or our marketing platform and our integration platform, our inorganic innovation. You know, products that we acquired, many of them at the multi-hundred-million-dollar revenue level, that are at the multi-billion-dollar revenue level. Some of the largest, most important software companies in the market today are actually companies that we acquired at much smaller levels. And all of you know Salesforce's story and how we put all of that together, and of course, I've mentioned we're rearchitecting almost every single one of those products, and quite successfully, and redeploying them to our customers into a single integrated data fabric to provide the power of future artificial intelligence. Now, when we look at all of that combined, we always are looking at what is the next level of innovation? And so we're gonna be looking at products organically, but yes, we will continue to look at products inorganically. But as we've committed to you, if we're looking at a large-scale acquisition, we're gonna make sure that it is not dilutive to our customers, that it's accretive, you know, that it is... You know, has the right metrics, and we're also gonna be quick to walk away from things that we are not totally confident in, or that we don't have the trust with whatever company that we're looking at. So we have operated inside that framework. We continue to acquire companies. We just acquired an amazing new company called Spiff, which is part of our Salesforce automation platform. It's an amazing capability. I mean, Salesforce, as you know, is the number one SFA platform in the world. That SFA platform got a lot better this quarter with the capabilities now that it's deeply integrated into Data Cloud, which gives SFA customers the next step of growth with our SFA platform, but also it has an incredible new level-... of artificial intelligence and generative AI capabilities now built into the, built into the Sales Cloud, and in addition, it also has compensation capabilities through Spiff, and that's through inorganic, and that was acquired through our new M&A framework, for example. And as we go forward, we're gonna continue to look at those opportunities. And look, we're not gonna shy away from M&A for any one particular reason if it's within our framework. But if it's outside of our framework, we're gonna be extremely cautious. And let me have Amy reiterate what the attributes of that framework are and how we look at M&A, because I don't think any company has been more successful with M&A than Salesforce has been. I mean, that's how we've built our Customer 360 and have this incredible, incredible platform that we're able to automate these amazing companies with that what we've gone through. But as we go forward, we know that we need to slightly adjust that so that we can continue to deliver to you these amazing financial metrics that you see. Like, you see this amazing cash flow number and margin number that we've seen rarely before in the software industry. You know, maybe only a couple companies have ever delivered cash flow at this level, and I think it's higher than most of the great consumer companies like Coke and Starbucks and all of that. Like, it's pretty, these numbers are pretty epic in that area. But we know to deliver, continue to deliver cash flow and margin numbers at this level, we're also gonna have to continue to keep our eye on the M&A framework. So, Amy, let's talk about that. Great. Thanks, Marc. You know, let me back it up a little bit to talk about our capital allocation strategy overall, and it's really very simple. You know, we are gonna continue to expand our free cash flow margin as we scale. We are going to invest in innovation, as Marc said, that is organic, and it can be inorganic, if it matches our principles and our goals. And we're gonna return cash to shareholders, and we're doing that now, both through our share repurchase program and our dividends program. Now, on the inorganic perspective, as you brought up, we're always gonna be opportunistic. You know, M&A has been an incredible part of our past, I'm sure at the right time, will be part of our future, but it's got to fit into the framework that we have been outlining for the last few days. We're gonna have to have a clear timeline to value accretion. We're going to need to prioritize our use of the balance sheet, and it's gonna be a best-in-class asset. When all that comes together, that's what we'll be focused on. In the meantime, you know, I really wanna talk about our goal. We are trying to optimize shareholder value. At the end of the day, that's the single most important element, and we're doing that by focusing on delivering very strong free cash flow per share. We're doing this by our focus on profitable growth and by very carefully managing our dilution. When you bring that together, I am very confident in our long-term free cash flow per share opportunity, and very confident about our capital allocation strategy overall. Great. Thanks, Rob. Rob, we'll take the next question, please. Your next question comes from the line of Raimo Lenschow from Barclays. Your line is open. Hey, thank you. Obviously, you know, this quarter was impacted on the booking side. Maybe question for Brian and Amy here. If you think about the two factors you pointed out, one is the economy, one is this, you know, the sales changes at the beginning of the year. On the economy side, like, you know, we've been talking about a tough selling environment for a while now. Has it gotten worse from what you've seen, or is it—are the issues this quarter more coming from the sales reorg? Thank you. Raimo, thanks for the question. Appreciate it. Hard to parse apart what the two impacts were in our first quarter, no doubt about it. We did have some changes, as I outlined in the quarter, as we set ourselves up for productivity in FY 2025. The economy question, I think, is one that we feel like it's similar to what we felt in the first half of last year. The same measured buying environments that we experienced in the first half is sort of what felt like the same in Q1. We came off a Q4 that was very solid, very, very strong performance. In retrospect, in hindsight, you know, we may have been in a similar environment, but executed very well as a sales team in that fourth quarter. So hard to really parse apart these things, but when you look at some of the transactions that we saw in Q1, we saw compression on many deals that we ultimately ended up getting done, but they got smaller when we ultimately closed them. We saw a couple deals push out of the quarter, as people delayed decisions that we thought would actually happen, in our first quarter. And, you know, this no decision issue is, is coming up more frequently than we anticipated. So hard to really parse those two things apart, but when you combine them both, in a particular quarter, it can have an impact, of, of lower bookings, and that's what we felt in, in, in our first quarter. Yeah, I think I'd also like to add, and I'll just give you a little color on the narrative inside our company. When we look at operating inside this environment, which, you know, we've been now going through for a couple of years, and we look at, hey, how do we continue to deliver these strong, you know, ACV numbers, but also, how do we continue to deliver the overall strong financial metrics? At the same time, it's important that we're delivering this high level of customer success to prepare for our future growth. You know, it's really along three lines, and those three lines, first of all, is, we're just having to start every quarter with much higher pipelines. We look at these pipeline multiples as much higher than we've traditionally had to start with, and this is really critical in managing our distribution organization and overall success in the quarter. Where traditionally we might have to start our pipelines at 2x, now, our message to our distribution leaders is, "Hey, if you're gonna start out your pipeline in the quarter, you better start out at 3x." This is also our message to our peers as well, to evaluate the pipeline much more aggressively than ever before. That means a much deeper inspection of the pipeline, but holding it at a much higher level. That is evidence of this environment, and if you were to ask any leader in this company how many, how many times they've heard from me or from Brian, that they better start it at a 3x pipeline, because that is the world that we're in today. The second attribute that's incredibly important for all of our leaders and, you know, in our company or throughout our industry, is you might need a much higher level of enablement. What that means is, so many people have come into our industry in the last five or even 10 years, that a lot of them just need the level of training, capability, especially as we move into this new area of artificial intelligence to artificial intelligence, generative AI, data. You know, the kind of capabilities that we're talking about when we explain to people how models work, how UIs work, how data frameworks work, and how it works in regards to our software and our platforms and our architectures, that is requiring a level of training that is incredibly important. And when we're talking about companies at scale, like Salesforce, who have very significant numbers of salespeople, I'm not gonna go into all the details of how it's organized and how many we have, but just know that that requires a very high-level enablement, and that's the second key attribute managing in this framework, in this environment. And the third is a level of stability. Now, when you enter the first quarter of any fiscal year, there always is gonna be a desire of every sales organization to slightly shift, slightly adjust their strategy and their organization to reflect the demands of the fiscal year. You start the fiscal year writing your business plan, thinking about how you're gonna execute, and then you have to look at how much disruption are you able to tolerate in the quarter. Because if you overshift, if you do too much, you will end up with more volatility in the quarter in the ACV than you like. Now, it may result in a better fourth quarter. A good example is last year, you know, where we saw, okay, in the first quarter, we might not have achieved exactly everything we wanted because we had too much disruption, but by the fourth quarter, we over-delivered. So there is a level of balance that has to be achieved in regards to stability and disruption. And those four attributes, having three X pipelines, having much higher levels of enablement, and having higher levels of stability, that is the key to managing in this environment and this part of the industry right now. And when I talk to my peers and other major enterprise software companies, that is what I'm really emphasizing to them. And for all of them, of course, it's good if they're using our products, because our products are really the key to making all of that happen, because we're able to deliver for these companies, all of those things that they need to have that level of success as well. Thanks, Rob. Rob, we'll go to the next question, please. Your next question comes from the line of Kash Rangan from Goldman Sachs. Your line is open. Thank you very much, Marc and team. I'm actually looking at the Salesforce Tower from my office here, and I'm thinking about the past. And Marc, you've been through all these cycles before. Maybe it's just cyclical, maybe high interest rates causing economic uncertainty, maybe it's as simple as that, or maybe it's structural. And if it's structural, maybe there's an architectural change going on. And Marc, you drove the last big architectural change from distributed computing to internet computing. And how confident you are that this generative AI, which is causing an upheaval in that whole tech stack, is not something to take lightly? And what are the things that the company is preparing if it's not just cyclical, and maybe there's structural change that's going on? What are the things that you are doing to the company to bulletproof? Because typically, people, incumbents miss big transitions, right? You and I have seen that. We've all seen that. And what are the things you're doing to ensure that you're bulletproof in that regard, that you're absolutely ready architecturally for the next cycle? Well, I will just say... I would like to make a couple comments on that. You know, I think that, number one, it's been pretty magical to use OpenAI over the last year, especially in the last release, you know, where I'm really talking to it. And when I think about the incredible engineering effort that OpenAI has done, it's pretty awesome. They've built a great UI. You know, I love talking to the, the software. They have really strong algorithms or what we call models, especially their new one, which is their 4o model. And then, you know, they stole data from lots of companies like Time, Dow Jones, New York Times, Reddit. Now they're all making good, you know, doing agreements with all of us, saying, "We're sorry," and paying for it. And they took that data, they normalized it, they delivered a comprehensive data set that then they trained their model on. And all of us understand that that's what they did, right? They have a great UI, they have this amazing model, and then they have the data. And then we've seen a lot of fast followers with the models. You know, it could be open source models like Llama 3, it could be some proprietary models like Gemini from Google and others. Now, there's thousands and thousands of these models, and if you look on Hugging Face, you know, everybody's a fast follower, and six months later, everybody is where everybody else was six months ago. And the data, well, a lot of these companies are all thinking they can rip off all this data, too, and they're all having to pay that price. Okay, that's the consumer world. The enterprise world's a little different, right? We have great user interfaces, great apps, all kinds of great technology that our users are using, the millions and millions of users. Then we have, you know, the same models in many cases, or maybe we've written some of our own models with our engineers. But then the third piece is the data, and that data is a little bit different, because in the enterprise, how do you put together these large, fully normalized data sets to deliver this incredible capability? And that is where the magic is gonna be. Because for all companies, including ours, others, who want to deploy generative AI internally, it's not just gonna be Time Magazine that's gonna give you the intelligence. It's gonna be your customer data and your transaction history and how your, how your company operates, and your workflow, and your metadata. And that idea that we can deliver another level of productivity for companies using that architecture is absolutely in front of, in front of us. But that idea that we have to do it, you know, with the right architecture, that also is in front of us. And I think that while we can say it's a different kind of architecture, it's still the same idea that we need a great UI, we need models, but we're gonna need very highly normalized and federated data. And that data needs to be stored somewhere, and it needs to come from somewhere. And it's gonna, that is gonna be something that's gonna continue in perpetuity over time as these models and UIs, you know, are quite fungible. You know, we'll be using different models and different UIs over the years, but we'll be using the same deep data sources. I think that is why when I look at what Salesforce is doing, this is gonna be critical for our customers. Now, you may see great new UIs like agents, and you may see great new UIs, like you see what we've deployed with Slack. You know, Brian was talking about how he's, you know, changed how he uses Slack with our new Slack AI or what we've done with SFA this quarter or service this quarter with the incredible new generative capabilities. This idea that the data, you know, is gonna be more important for companies than ever, having deeply normalized, federated data sources. When I look at the success we've had with so many of these companies, I mentioned State Farm briefly, you know, we've become their fundamental data architecture. That is not where we were with that company even four years ago. Now, they look at us as the fundamental framework for their future, and as they want to deploy agents or as they want to deploy new user interfaces or achieve more productivity, the data that they have in Salesforce and the ability to manage and share, keep that data reliable, available, and scalable, the way that we do updates, that we don't bring down our system, you know, do an upgrade and an update like a lot of vendors still do, you know, those kind of capabilities, that will be more important than ever. And, I think that that is gonna be a huge driver for our growth going forward and provide the foundation for this future and, and, what the future of the enterprise is gonna look like. And I think it's a little bit different than in the consumer model. Thanks, Kash. Rob, we'll take our last question now, please. Your final question comes from the line of Mark Murphy from J.P. Morgan. Your line is open. Thank you very much. Mark, you mentioned that there's a transformation of how we interact with software that's happening, and I'm curious if you sense any temporary pause as customers may be trying to digest the new innovations, the new pricing mechanisms, it includes consumption pricing, and that perhaps there's gonna be a pause that refreshes down the road as they, they'll ultimately gain comfort and start to move forward with the Einstein Copilots and all the other innovations that require you know a little bit of a different architecture, but a different thought process. Well, I think it's a very key question, which is, you know, Salesforce is managing many different kinds of pricing models. Obviously, like our Data Cloud is a consumption product. We've seen, you know, a clear path now at over $1 billion in revenue with that product. It uses consumption pricing. You know, we look at our core SFA product, which is a product doing, I don't know, approximately $8 billion a year, or Service Cloud doing approximately $8 billion a year. These are per user prices. But when you buy Salesforce now and you're buying our products, you know, you might be buying a new product that we have called UE+, and that's a product that we just introduced a few months ago. Now, why is that exciting? Because UE+ is a hybrid pricing model that includes per user pricing and consumption pricing. It delivers for our customers the ability to deploy all the architectures that I articulated on the call today, but to do it at an incredibly competitive price point. When we look at the very large customers that are deploying Salesforce, standardizing, you know, on our platform to deliver this kind of capability for the future, as we retrain our salespeople to be able to have the commit... The narrative that I have on the call today, you know, this idea that we can deliver basically not only the number one AI CRM, not only deliver—you know, we see these incredible growth in our pipelines, as I mentioned, not, not only the kind of the next generation, you know, price points and products like with UE+, but we have to deliver it with a level of customer success for our partners and the implementations at scale, and also, you know, with the culture that, you know, Salesforce is known for. Those are really the five elements that we are really taking into consideration as we're moving forward. We think that we have the right mix, and, you know, we're spending a lot of time talking to our customers very, very closely. Look, I don't think that there aren't a lot of, you know, people walking into these companies saying, "Hey, you can do this, you can do that, you can do these other things." We've seen a lot of that in the last, you know, 6-12 months, and then it turns out that you can't.... you know, "Hey, I can make this happen. I can make that happen. I can pull a rabbit out of the hat in the enterprise for you by doing this, that, and the other thing," and then it doesn't actually happen. And then what it turns out is, you got to do a lot of the hard work to make this AI happen. That starts with building highly normalized, large scale, federated, you know, highly available data sources, and then building on top of that, the kind of capabilities to deliver it to our customers. I think a common story is: Hey, oh, yeah, I am a provider of a data lake or a data capability, and just by going to that, I'm going to be able to provide all your AI. But then it turns out that no one in the enterprise actually uses that product. There is no UI that's commonly accessed. That's why I'm so excited that Salesforce's Sales Cloud and Service Cloud and Tableau and Slack and all of our amazing products that have, you know, these huge numbers of users that use these products every single day in a trusted, scalable way, and then connecting that in to this new capability. That's where the magic is going to happen. By the time we get to Dreamforce, and for those of you who maybe were at our Connections conference or at our last World Tour in New York or even, Trailhead DX, you know, we haven't heard gasps in the audience when we've demoed the products in a long time, you know, I think maybe ever. Like, some of the new technology is incredible, we're able to deliver for our customers, and I think that it's going to be extremely exciting going forward, and it will be delivered with a variety of new business models and pricing models. But at the end of the day, we're going to have to be, you know, a trusted partner to these customers, delivering this AI at scale. Great! We want to thank everyone for joining the call today, and we look forward to seeing everyone over the coming weeks.