ServiceNow, Inc. — 2024 Q1
Transcript
Each turn shows the speaker, their inferred role, the section, and that turn's net sentiment (×1000).
Good day, everyone, and welcome to the First Quarter 2024 ServiceNow Earnings Conference Call. Today's call is being recorded. I would now like to turn the call over to Darren Yip, Group Vice President of Investor Relations. Please go ahead.
Good afternoon, and thank you for joining ServiceNow's First Quarter 2024 Earnings Conference Call. Joining me are Bill McDermott, our Chairman and Chief Executive Officer; Gina Mastantuono, our Chief Financial Officer; and CJ Desai, our President and Chief Operating Officer.
Thank you very much, Darren, and thank you, everyone, for joining today's call. ServiceNow's first quarter results were outstanding. We once again outperformed our guidance across all top line and profitability metrics.
Thank you, Bill. Q1 set a strong precedent for the year ahead. Building on the momentum from Q4, our team delivered another exceptional outperformance. We surpassed all of our top line and profitability guidance metrics for the quarter. With GenAI conversations serving as a digital transformation catalyst, we see that momentum carrying into Q2.
[Operator Instructions] We'll now take our first question from Kash Rangan with Goldman Sachs.
First earnings report and software for the year, Bill, good to see the optimism. My question on AI is at what point does AI get more broadly adopted, at least from a sales cycle standpoint, that despite the tough economic environment, you can actually draw in more potential prospects into the category because of the cost savings here. And one for Gina, I noticed that -- it's still too early in the year, cRPO, RPO, a bit of seasonality there. Can you give us some insight into what to make of the rest of the year? Congratulations.
Thank you very much for the question, Kash. As I said, process optimization is the single biggest GenAI use case in the enterprise. And any process that exists in the enterprise today will be reengineered or engineered depending on how messy the process is with GenAI. So every workflow in every enterprise will be rethought. So just think about the sales process, for example, and the whole order to cash process, for example, or think about employees and onboarding and training them and providing all the services to them. Think about agent productivity, which is something that we're obviously moving very quickly on where you can bypass the systems that don't integrate very well. And instead of swivel sharing around or putting customers on hold or I'll get back to you tomorrow, have real-time data where most of the cases are deflected from virtual agent. But if an agent is involved, they have choice A or B, which one is more pleasing to the customer.
Yes. And Kash, on your question around seasonality about the cRPO. So first and foremost, really proud of the fact that we beat our guide in Q1 by 100 basis points. That beat was twofold: one, strong net new ACV growth as well as higher early renewals. And so from a seasonality perspective you'll remember, we talked about the Fed duration. And so Q2 is slightly more impacted, right, before it pops up again in Q3. And so we feel really good about the trends that we're seeing. And again, feel really good. We continue to be prudent in our guide around early renewals, while we are seeing them stronger than we saw last year. Again, from a guidance perspective and a forecast perspective, we're continuing to be prudent there.
We'll take our next question from Karl Keirstead with UBS.
Bill and Gina, maybe even CJ. I wonder if you could just comment on the environment that you're seeing. I think in prior quarters, you've described it as after a pretty rough, call it, year stretch, it started to stabilize in 3Q and stabilized again in 4Q. Was that still the case in Q1? Were there one or two verticals that maybe lag? Maybe some of the puts and takes about how the environment broadly felt.
So I would say, Karl, I would start first is environment, and we shared this in January, Bill, Gina and I, it remains pretty much the same from our perspective as it -- and what we mean by that, it is not 2021, specifically. So it still takes many approvals and all the things that we discussed from a sales perspective in trying to get business validation done or a purchase being made. And pretty much, I would say, that's a standard across industries and geographies.
And I would just build on that, Karl, just for your benefit on the budgets themselves. The budgets are going up. And what I definitely see is the preference for GenAI now. I think we're ending one era in the enterprise, and we've begun another. And we're into a new frontier now where GenAI has opened up the eyes of the customer to say, there might be a different way of doing this. And that's creating real opportunity for us.
We'll take our next question from Matt Hedberg with RBC Capital Markets.
Bill, given your comments on Pro Plus net new ACV growth, are you seeing faster Pro Plus deal cycles relative to what you saw when the Pro was first launched? And anything you just need to call out from a discounting perspective on Pro Plus relative to maybe some of your initial expectations?
Yes. Matt, I'll take that one. So yes, we are absolutely seeing faster Pro Plus adoption versus Pro. It's 2 quarters out, right? So it's early days, but we feel really good about the adoption curve. And we've been talking about whether or not that adoption curve would be faster. And we posited that it would be, and that's certainly proving out to be the case, although again, early days.
We'll take our next question from Brad Sills with Bank of America Securities.
A question for Gina, please. Real nice results on RPO. I think this is the second quarter since we've seen significant outperformance there versus cRPO. Just curious what's driving that? And does that give you some visibility perhaps for cRPO to ramp from here given perhaps a ramping component in there?
Yes, it's a great point, and I did call that out. So RPO growth was 27% year-over-year in constant currency, which is 300 basis points improvement versus last year. And yes, that is our longer-term backlog. So as you think more longer term about the opportunity in ServiceNow, I couldn't be more excited about that. We are seeing the average duration growing. And in fact, duration this Q1 is the largest it's been in the Q1 since, I think, 2019. And so I feel really good about what that means for the mid- and long-term opportunity here for sure.
We'll take our next question from Keith Weiss with Morgan Stanley.
Sanjit Singh in for Keith Weiss. Bill, I wanted to ask a little bit about GenAI adoption within ServiceNow, you mentioned Now on Now, but in terms of just like the GenAI adoption, both broadly and with the engineering team, it looks like you're hiring for this quarter in R&D, you kept a pace. How is GenAI adoption changing or not changing your hiring plans more broadly and specifically in the engineering team?
This is CJ. And here is where I would say that specifically, we absolutely believe, and we have seen it that GenAI is helping our software engineers code faster. I mean, straight up. It helps us our software engineers code faster, whether they are junior software engineers or very senior software engineers, they still can leverage and continue to leverage generative AI. So I'll start with that, that is increasing our engineering productivity and it varies depending on how senior the engineer is or how junior the engineer is. And number two, it helps us increase our innovation velocity. So that is really, really important to us that it increases our innovation velocity.
And one thing just to share with you, Keith (sic) [ Sanjit ], we have 20 -- 20 GenAI cases on the Now on Now story within ServiceNow. And our Chief Information Officer, Chris Bedi, put a very interesting LinkedIn post out there. Please take a look at it. Not only is he doing a great job. But if you think about ServiceNow, we have a financial system in ServiceNow. It's a system of record. We have one of them. Unlike many customers out there that have hundreds, we have a CRM system. We have one of them. And we have an HR system. We have one of them. But they are feeding the ServiceNow platform.
Yes. And I would just add -- I think I would just add, we are absolutely customer 0, 100% on all of our GenAI use cases. Deflection rates have doubled for both our employees and customers and they're improving every month. Right? It's really early days. So it's learning faster and faster. Software engineers are accepting 48% of text to code generation. So there's absolutely the ability to see leverage in our R&D as we look to the mid- and long term. So thank you for the question.
We'll take our next question from Keith Bachman with BMO.
I have two questions, but I'll ask them as one. First, Gina, I don't know if this is for you or not, but acknowledge that the adoption does seem quite strong for the various GenAI offerings, and so how would you characterize? And yet you're pointing to decelerating growth through 2024. So what's not growing as well? If GenAI is getting great adoption, probably small dollar amounts contribution. But what's not growing as well?
Yes. So we'll definitely give you a lot more details on all things GenAI at Investor Day, and that's in a week and a bit. So stay tuned there. Yes, the adoption curve is stronger than we've seen in any new product category launch, but that's starting from 0, right? So it's a small dollar at this point in time, but the speed at which it's going to grow to be a really meaningful contributor is faster than anything we've seen.
Yes. And the only thing I would add there is every single workflow continues to still grow double digits plus, plus. So we have no, hey, this has been taken out of x or this been taken out of y besides Gina individually calling out all our growth vectors, whether it's our core, which is ITSM and ITOM or whether it's our growth, which our CSM and other products, AppEngine, part of creator and customer, all of them continue to grow very nicely, and they grew very nicely in Q1.
We'll take our next question from Tyler Radke with Citi.
I wanted to ask you how you're seeing the momentum just in terms of Standard to Pro migrations. We talked a lot about Pro Plus, but it would seem that still a huge opportunity in terms of, I think, close to 50% of the installed base on Standard. Have you started to see an acceleration in those migrations? Can you just talk about the opportunity there?
So first, I'll use, Tyler, one quick example that I was in a conversation at a bank, very technical audience in their technology organization. They were still on ITSM Standard. Once they saw what we have done with Pro plus, they actually bought Pro and Pro Plus together. And that is just amazing that they bought both technologies together, not just saying, "hey, I'm going to go to Pro and then staircase to Pro Plus." That's a very specific example. But the way we look at this specific product line, whether it's ITSM or whether it's CSM, our customer service, is I look at both Pro and Enterprise in total.
We'll take our next question from Gregg Moskowitz with Mizuho.
Bill, getting back to the topic of IT budgets as it relates to ServiceNow broadly, you took a sense of how much of GenAI software spend is incremental today as opposed to perhaps coming from other areas of IT.
Yes. It's a really important question, Gregg. I really believe the IT budgets in their own right will go up on a standard rate basis as we've seen now for many, many years. The business executives, however, are inserting their will into the generative AI revolution because the CEO is in a boardroom with her senior team sitting around a table with the Board of Directors, and they're like, "hey, what are you guys doing on GenAI?" And they know now that they got to go into that room with a story because this is a lot like when we had the internet, then we had the iPhone moment, everything went mobile. Everything is going GenAI. It's just a question of how quickly you get there.
one is business budget is going to move into the GenAI category, and it's not going to take away from the IT spend in the end; and two, there's going to be real winners and real losers. And real winners and real losers has already begun its formation because if you don't plant the AI flag in the ground in the next 8 months, there's not going to be an AI flag to put in the ground and ours are getting put in the ground all over the global economy. And the company that I see out there doing extremely well in that regard is what Microsoft is doing with Copilot.
We'll take our next question from Mark Murphy with JPMorgan. I do apologize. It looks like Mark has disconnected. We'll take our next question from Brad Zelnick with Deutsche Bank.
It's great to hear all the traction in international. You called out deals in Australia, Italy, Brazil. But I want to focus, Bill, on what you just mentioned about the Kingdom of Saudi Arabia, where in your press release, you called out a $500 million investment in that market given obviously it's a massive, massive opportunity. Gina, can you double-click into the $500 million investment you're making over what time period, where it lands on the financials? And maybe more generally, how should we think about your strategic use of capital and CapEx for these types of deals?
Brad, thanks so much for the question. So we're really excited about the investment in Saudi. And rest assured, that $500 million is a long-term investment over a long horizon period. It will be in -- most of that investment is in data center, so it will be in cost of sales, but you'll -- again, we manage our margin very tightly. And the growth that we're from that investment is huge. The opportunity that we see in Riyadh and Saudi, NEOM, is great. And Bill spent a nice time there at the LEAP conference, and we're really excited about really pulling our technology to really help that society grow and become a digital-first economy.
And Mark Murphy has dialed back in. We will go to Mark Murphy with JPMorgan.
Bill, I'm curious how you're looking at the onboarding of talent into the ServiceNow ecosystem because we're being told that the demand for ServiceNow consultants, is that a multiyear high. We're wondering if the economy can create those jobs quickly enough to keep up with the bookings that you're driving. And just also, is there a pivot point coming where you would want to crank up your own hiring engine within ServiceNow to keep up with the top line growth?
Yes. First of all, Mark, thank you very much. Incidentally, my compliments on the research that you put out. I read your e-mail this morning and you called the quarter exactly as it was. So super well done on your part, not surprising considering the great company you work for.
We'll take our next question from Samad Samana with Jefferies.
I guess, Bill, I wanted to follow up a little bit to Mark's question because sales and marketing hiring in the first quarter was basically as many heads as you did the last 3 quarters of 2023. And I know there's some seasonality to it, but is that you guys ramping hiring back up as you see more demand? Is it a certain type of salesperson that you need as you think of more AI-driven sales? Just maybe help us understand what you saw in 1Q and maybe the philosophy around it.
Yes. Samad, we see the biggest opportunity we've ever seen. And we know the GenAI revolution is real, and we're doubling down. What you're seeing our investments are very focused on building the best software in the world, and selling the best software in the world. So we have great leadership on both the engineering side and the go-to-market side and we're going to have more clarity of focus in the way we drive the go-to-market.
And I would just add to that, Samad. I would just add that last year, might have looked like we slowed down sales and marketing, but there's a lot in that number, and we talked about this, a lot of operations, sales ops. And we actually were very focused even last year on continuing to hire quota-bearing feet on the street sales folks. We're entering -- we entered 2024 with the higher -- the highest increase in ramp reps that we have in a while.
Very helpful. And then Gina, I had a quick follow-up for you. On cRPO, you mentioned, I think, in response to another question about maybe some early renewals in 1Q. Can you maybe just help us understand if it was material enough to impact the Q2 guidance or just I know the guidance was good, but just trying to think through on that timing, if there's anything we should consider for 2Q and then maybe even the back half based on your expectations on renewals?
Yes. So if you remember, Samad, last year, we've been -- over the last year, we've been more prudent in how we've been forecasting early renewals because it's hard to forecast. It's very customer specific and customer by customer. And so in Q1, our beat was really strong on our net new ACV growth, but we also saw early renewals than our prudent forecast. I haven't changed how we're thinking about forecasting. I'm still remaining prudent given the macro. And so as we think about seasonality. I talked about Q2 being lower, slightly lower, but then it bounced back up in Q3 when Fed is our strong quarter. And so again, it wasn't material enough to impact the Q2 guidance, but I'm not assuming better early renewals in Q2 like we saw in Q1.
Awesome. See you guys in a week and a bit.
By the way, Samad, when you show up, you'll notice that it will be a stunning knowledge, and you'll see thousands more people than you saw last year. We just keep getting bigger and bigger. So get ready for the best Vegas show you've ever seen.
We'll take our next question from Patrick Walravens with JMP Securities.
Bill and CJ, can you help us understand how important it is to have and release your own LLM, so you guys had StarCoder in February, Databricks' DBRX in March? I'll just say Snowflake did their Arctic family.
I would say it is extremely important, Patrick, is the simple answer. Here are the three things we are solving for with our own LLMs. First of all, they are use case specific. And ServiceNow has many use cases that are used by our customers, whether it's IT service management, customer service, our ITOM, all of our key product lines. These are use case specific. And sometimes you would say, even for what Bill talked about agent summarization and other things or text to code, we always want use case-specific LLMs.
We'll take our next question from John DiFucci with Guggenheim.
Bill, you both talked about the strong government across the world and emphasizing international. I know the U.S. government is strong for you. And I suppose it's still pretty good for you. But Gina, you didn't mention it in the list of verticals that did well this quarter. Can you comment a little bit more on the U.S. federal government and what you expect for the rest of the year?
Absolutely, John. Thanks for the question. I didn't mention it because we had such great results in so many other industries and sectors. But our federal business also was strong and had its biggest Q1 ever with $8 million plus deals and net new ACV growth that accelerated. And so we hosted our largest Fed forum ever with customers representing more than $1 billion in ACV and triple the number of attendees at our executive circle and over 35 partner sponsorships and so really strong federal business. And actually, our GenAI offerings are reinforcing our ability to help accelerate the transformation journey for our federal customers. And so we're seeing early adopters and healthy industry -- sorry, healthy interest in our domain specific models, which offer better security that CJ just talked about and really can drive tremendous efficiency gains. And so exciting themes ahead for 2024 and feel really good about what the federal business will continue to do for us as well as public sector as a whole. So thanks so much for the question.
We'll take our next question from Ethan Bruck with Wolfe Research.
This is Alex Zukin from Wolfe. Maybe just the question that you guys have gotten a couple of times on Pro Plus adoption. Listen, it's very clear that the enthusiasm is there, the interest level is there. You talked about it at length in terms of the new product launch being the fastest ever. Is there a way to kind of stratify? Or at a high level, just give us a sense for what percentage of your deals or pipeline either for Q1 included Pro Plus? And how it looks for the rest of the year? And how like that compares to your kind of expectations when you set on this journey? And then I've got a quick follow-up.
Alex, great to hear from you. So I'll take this on. So there are a couple of things we are seeing. So when we launched Pro in 2018 September, and we launched Pro Plus in 2023 September. As Bill outlined in his comments, the Pro Plus uptake by our customers is at a higher pace than Pro uptake was across not only just ITSM, but also CSM and also HR, which are 3 big product lines for ServiceNow. So when you look at exactly 2 quarters and 2 days that we have been in the market, it has exceeded our internal projections on what Pro Plus will do and our ability to sell them. And as Gina outlined, that not only it was in the 7 out of 10 deals, which are the top deals for ServiceNow in Q1, we had $7 million-plus deals, including public sector deals in a regulated environment where our engineers have made the technology work for this regulated environment.
And we'll take our next question from Michael Turrin with Wells Fargo Securities.
I appreciate you squeezing me in. Gina, 47% free cash flow margin certainly stands out, maybe walk us through the drivers of strength there for Q1. Anything onetime for us to consider? And maybe just given we're holding on to the margin guide for the year, just how we should think about seasonality of free cash flow throughout the rest of the year.
Yes. Thanks, Michael, for noticing. We're really proud of the 47% free cash flow margin. Year-over-year, though, you have to remember that Q1 of last year was lower than normal given the Silicon Valley Bank and regional bank crisis that happened that quarter. All of that being said, even if you normalize for that, we are significantly higher. And that's testament to the strong margin, operating margin and some nice work that we've been doing on working capital efficiencies. And so we feel really good. Seasonality for free cash flow will be similar to what you've seen historically. And so just really strong results. The team has done an outstanding job on working capital efficiencies, and we'll continue to see that as well.
And we have time for one last question. We'll take our last question from Derrick Wood with Cowen.
Great. CJ, just to kind of follow-up on that last discussion. Just in terms of how you're seeing adoption of GenAI. I guess on one end of the spectrum, perhaps it's easy to drop this into the hands of workers, let them experiment quickly figure out how to drive productivity. On the other end of the spectrum, perhaps there's a lot of data hygiene investments needed. You need SIs to come in and help drive real process change and really drive the learning curve. I guess where do you guys -- what end of the spectrum are you seeing when it comes to adopting LLMs within the ServiceNow platform?
So first of all, thanks for the question, Derrick. Here is how I would describe it. Our design goals and engineering goals were, this has to be super simple to turn it on, as in Pro Plus, once you are on Pro, and you can start using our Pro Plus capabilities, whether it's for agents, employees and so on. That has been our design principle. The setup is super simple, and customers are turning it on and seeing where they are seeing improvements on productivity, whether it's for agents or employees. So that's number one.
And Derrick, I would just give you one thing to think about, too. You could take great companies like Novartis, who want to be a global leader in their industry. And that industry has been held back with 6.5-year clinical trials. And these kinds of CEOs are rethinking everything and they're using generative AI as the gateway to change. And they're looking at not only GenAI, but they're also looking at ServiceNow as a fresh new platform design to take on some of the tougher process challenges that has slowed companies down. And as CJ said, which I think is a major point, the time to implementation on these GenAI use cases has been faster than anything I've seen, not just against Pro, but against anything.
Thank you. And with that, that does conclude today's presentation. We thank you for your participation today, and you may now disconnect.