HubSpot, Inc. (HUBS) Earnings Call Transcript & Summary

May 22, 2023

New York Stock Exchange US Information Technology Software conference_presentation 35 min

Earnings Call Speaker Segments

Mark Murphy

analyst
#1

Okay. Good morning, everyone. Welcome. I'm Mark Murphy, software analyst with JPMorgan. And it is an honor and a privilege to be here with Kate Bueker, who, as you all know, is the CFO of HubSpot; as well as Dharmesh Shah, who is the Co-Founder and CTO. Well, first off, welcome to the conference, and thank you for taking the time.

Kathryn Bueker

executive
#2

Thank you.

Dharmesh Shah

executive
#3

Thanks for having us.

Mark Murphy

analyst
#4

Maybe you could just spend -- maybe you could just give us the 30-second version to introduce yourselves and HubSpot for the benefit of anyone who's not aware out there.

Dharmesh Shah

executive
#5

Sure. I'm Dharmesh, the Co-Founder and CTO of HubSpot. HubSpot is a SaaS platform. It's a CRM platform, primarily focused on small- and medium-sized businesses. The company is about to approach its 17th-year anniversary, and I'm having a better time than I've ever had at HubSpot right now.

Kathryn Bueker

executive
#6

I'm Kate Bueker, I'm the CFO, and I am approaching my 5-year anniversary in June, and I am also having a great time.

Mark Murphy

analyst
#7

Those are big words because you always have a pretty wonderful time as long as I've known you. Okay, let's talk about the resiliency of HubSpot for just a moment. It's been a tough period of spending on front-office software because it had accelerated so much during the pandemic, right? We've had several quarters now where we've been in a tougher environment, it's been a different environment. But HubSpot has shown this resiliency. When we look at it in Q1, the growth rate was 30% constant currency, and that's on -- it's on about a $2 billion top line scale. When we look at it in contrast, we're forecasting these growth rates that range from about 5% to 15%. We've applied -- that applies to Salesforce, ZoomInfo, Qualtrics, Twilio, et cetera. To what do you attribute this superior resiliency for HubSpot? And do you see an environment here that is translating into faster market share gains?

Kathryn Bueker

executive
#8

Yes, maybe I'll start here. Welcome to add in. I would highlight maybe 3 things that I think contribute to the resiliency of HubSpot. I think the first is, I talked about the fact that I am approaching my 5-year anniversary. HubSpot is a very different company today than it was 5 years ago when I joined. We have been on this journey from a single application for marketing automation company to a platform company, a CRM platform company that provide -- that serves the whole front office. And that means a different level of necessity for our end customers. Today, 60% of our customers use 2 or more hubs and 45% of our customers are on 3 or more hubs. It means they're running their whole front office on HubSpot. The second thing that I would attribute to is a little bit of the current environment. We are in a world where total cost of ownership is front and center and decision-making. And for small- and medium-sized businesses, there are more and more making platform choices, consolidating a disparate set of applications onto a single platform that can help them drive efficiency, and HubSpot is really well positioned in that order. And then the last thing is really around time to value. In this environment, people are also looking to derisk the decisions that they're making. And so they're looking for investments that pay off quickly. And HubSpot has, frankly, by virtue of the fact that we've grown organically and we've made some very smart choices around how we build product, is one that is very easy to get started with, easy to use, and that makes a difference in this environment.

Mark Murphy

analyst
#9

So a broader platform versus 5 years ago, TCO matters more and then the time to value being reprioritized, yes. Okay.

Kathryn Bueker

executive
#10

That's exactly right.

Mark Murphy

analyst
#11

So you talked in a little comment on this on being an organic platform. And I want to go right into that. Dharmesh, you've had this messaging that we love. You call it crafted, not cobbled. And there's this quote, the dream is to have a single cohesive, uncomplicated CRM crafted by people who care. So this is something that I really value, that type of architectural cohesion. We've heard you for many years talk about having an Apple-like type of a design ethos built into the product. Can you help explain to us how does HubSpot benefit? How do your customers benefit from having this kind of contrarian approach, where, for the most part, you've really actually been avoiding M&A?

Dharmesh Shah

executive
#12

Yes. So to start off with, we don't really avoid M&A. We're actually committed to this kind of cohesive platform. And sometimes those 2 things can be at odds. So the right M&A, I think, would make sense for us. Sort of back to the kind of importance of being a platform, having built everything kind of organically in-house within HubSpot. Let's talk first about the benefit to customers. As a result of it being one cohesive platform, one database, one set of user interfaces, it makes it much easier for the customer. And for us, in the market that we're in, that's really not optional. That's high on the list of what customers want is ease of use and simplicity kind of reduce the complexity compared to alternatives in the marketplace. The other one is a little bit more subtle. The value of a platform to HubSpot outside of benefiting our customers is that it makes it simple and easy for our customers, but it makes it simple and easy for HubSpot to innovate as a result of having one unified platform as we have new shifts happening in the marketplace in terms of, "Oh, there's this new thing called generative AI that everyone is all excited about." I think we're in a better position to leverage those shifts and innovate faster, iterate faster than we would be if we had a portfolio of products accrued via acquisition over some long period of years, right? That's just harder to get everything coordinated and put things in motion. So it's one of the things that has me excited. And you'll really know these things. I've been in software for 30 years. At the time you're making these long-term decisions to be a platform, but I have experienced that it's like, okay, it's just a matter of time. You don't know exactly how those benefits will show up at the time you're making those decisions. Some are obvious, some are less obvious, but we're kind of reaping the rewards of some of the kind of harder work the product team has done over the years.

Mark Murphy

analyst
#13

Okay. And we'll -- you brought up generative AI. I didn't have to do it, but I want to make sure we're going to come back to that because that's going to be topic number one. But before we do that, Kate, I wanted to also sort of acknowledge, I think you had some wisdom in terms of not issuing the multiyear targets and growth rates when spending was very robust a couple of years ago. I keep saying companies that did that, they're really regretting it now, and they're having to dial that back. So we don't know exactly what the longer-range plan is for the business. What -- I think what we can see is we can see just a tremendously huge top of funnel, we can see that happening at the free and starter tiers and then you've got all this multiproduct and you have what's happening, what's resonating with the enterprise tiers. How do you think about the longer range, the -- maybe more from a qualitative standpoint or just what you aspire to, even if we're looking way out, something like a 5- to 10-year horizon?

Kathryn Bueker

executive
#14

Yes, it's a good question. We've obviously made a choice to focus on the small- and medium-sized businesses. And we did that because it's really a massive market. And we're a $2 billion company operating in a market that is, in a couple of years, projected to be $70 billion. So we have -- we continue to have single-digit market share across all of our markets. We believe that each of our marketing sales and customer service sort of our core hubs can -- in there each be multibillion-dollar hubs. And we think that, that SMB market is largely or relatively underserved versus other parts of the market, and we feel really good about our ability to answer the needs of those millions of businesses.

Mark Murphy

analyst
#15

Okay. So the -- so I do recall, Brian Halligan actually said this at the Analyst Day last fall that you're super ambitious to build a giant, giant company. You're up to 180,000 customers today. If you're successful 5 to 10 years from now, how many customers do you think you would have?

Kathryn Bueker

executive
#16

I mean our -- I come back to the foundational mission of HubSpot, which is to help millions of organizations grow better. Like we chose millions purposefully. We believe that we should be a company that can serve millions of customers.

Mark Murphy

analyst
#17

Okay. So we've noticed -- I was thinking back a year ago at this very conference. You had begun to mention that some deal cycles started to extend in Europe. And I would say you spotted it sooner than most companies. HubSpot has a tendency to be, I think, a little more attentive to conditions or kind of better able to monitor it and the willingness to kind of comment on it. When you think back to them a year ago, what was it that allowed you to pick up on the change that was happening in the macro? And if I were to ask you just directionally, do you think the macro and business confidence are kind of -- directionally, which way do you think they're going here in the month of May?

Kathryn Bueker

executive
#18

Yes. Well, I guess I'll start by saying thank you. This is the second comment that you've made, which is complimenting me in front of my boss, so I appreciate that payback.

Mark Murphy

analyst
#19

I've been returning the favor.

Kathryn Bueker

executive
#20

If I think about HubSpot noticing the trends earlier, I don't -- I mean, it's not clear that we noticed the trends earlier than anyone, but I do think there's a couple of things that we do in how we approach the business and the sort of understanding of the business that maybe helped us get there at least with our external comments sooner. One is the company is a very data-oriented company. We look at -- consistently look at a large number of metrics internally on a weekly basis, on a monthly basis, to try to give us insights into what is happening in the business, what are the sort of potential outcomes that we could see sort of in the next set of quarters. And the other is that one of our core cultural values is transparency. And that's an approach that we certainly take internally, but it's one that we take externally. And so it's really that combination that I think put us earlier than many companies and sort of having the conversation around the challenges that were emerging over the last 12 or so months. That said, like I'm not going to provide any new update on the sort of external environment. We had earnings just a few weeks ago. What we said on that call and consistently in our callbacks is, we continue to operate in a really challenging macro environment. It is pretty consistent with what we have seen since the back half of last year, but it hasn't gotten materially worse. It also has not gotten materially better.

Mark Murphy

analyst
#21

When you think about what has happened with tech spending in this cycle, it has been unusual, right, in my experience because basically, tech spending has had a recession without seeing an economic recession, at least not yet, knock on wood. Do you think that it could mean that spending on tech, spending on software has, to some extent, been kind of purged or been optimized such that when we get into the next recession that it wouldn't feel maybe quite as bad at this juncture as it otherwise would?

Kathryn Bueker

executive
#22

I think it's a really interesting question. We certainly feel like we've been operating in a recession for a number of quarters, even if it's not technically being characterized as a larger recession. What that translates into from a customer perspective or customer motion is 2 things. The first is that just our customers have a higher bar for decisions, purchase decisions. And that is taking many forms, but we've talked about things like more and more decision-makers getting involved in purchase decisions, decisions taking longer, we are losing to inaction, not losing to competition. The second thing that we're seeing is that customers are very focused on optimizing their existing spend. So for us, that takes the form of customers cleaning up unused seats, maybe trimming down contacts that they haven't been marketing to. Some of the new functionality that we have in the enterprise versions of our product with some of the permissioning and governance allow our customers who maybe have been managing their business through multiple portals to do some consolidation of their spend. And then we're seeing customers expand their sort of usage spend at lower rates than we have historically. That said, we are -- we continue to see our gross retention really nicely in the high -- like hang in there in the high 80s, which we think speaks volumes of the value of the platform. And we feel good about our ability to continue to deliver net revenue retention at sort of 100% plus.

Mark Murphy

analyst
#23

Okay, which is a pretty remarkable feat, and I want to come back to that discussion on the retention in a couple of moments as well. But so Dharmesh, let's get to the big topic here around generative AI. I have been telling investors that I thought what HubSpot did with ChatSpot.ai is really the single best example, like this is what a SaaS application software company should do to understand the trend and actually go do something about it and code it up and have a demo in a very compelling, very well-done demo. Working live right there on the screen inside of HubSpot, the -- so I believe it's in public alpha. You had reached 40,000 users very quickly, also pretty remarkable. And I have been told that you personally did -- really did the heavy lifting on ChatSpot. I told like this kind of starting last fall, you sort of had this obsession with it and really took control. Can you tell us just the story? What was going through your mind, and how did they come together so quickly?

Dharmesh Shah

executive
#24

Yes. I'll start with again by reiterating that the heavy lifting actually happened years ago as we start building out the platform, that's what made it possible to build something like ChatSpot. Now I've had a personal kind of passion around AI for a long time now and have done variations of what is now ChatSpot as early as 5 years ago. I was going through some old e-mails. And so Brian and I had a chat with Sam Altman, who's the Founder, CEO of OpenAI. This was June of 2020, talking about GPT. And our question to him is, where do you think this is headed, right? This is 3 years ago, which is in a [ tourney ], it's like dog years when it comes to generative AI. And his statement was that we're making progress. It's going to continue that way, and then there's going to be an inflection point. I don't know when that's going to happen, but it's going to happen because they saw the writing on the wall. Obviously, they were building it. And so I've been following the kind of progression of generative AI for a long time. And then it kind of really hit me as it did, I think, other folks, just kind of raw potential of something like GPT-3, which was we caught the imagination. So I'll tell you a quick story. Look, so I have built something for myself just to kind of tinker with it, and I'm up till 2:00 in the morning every night coding on it. And we had -- I had 50 users, kind of friends and family and internal HubSpotters, and our goal was it's like we'll launch this because I'm a big believer in iteration, and we'll get it to 500 users, like someday within the first month or so. Two days after launch, it was 10,000 people who had signed up for ChatSpot. And 2 months later now, we have 45,000-plus users. And this is a testament, it's less about kind of ChatSpot, but how much the potential of generative AI has kind of captured the imagination. We have all been exposed to it in varying forms through things like ChatGPT, and I think it's going to be transformative both for HubSpot and the software industry at large.

Mark Murphy

analyst
#25

So -- and that's a great story. And it's amazing you were talking to Sam Altman 3 years ago. How do you think generative AI is going to change the experience of using HubSpot? Do you think it's going to be more of an amplifier on in terms of -- because you have a lot of people that are trying to crank out marketing copy. They're trying to crank out blog content. Is this actually going to be more of a tool where you would be able to go in and generate the kind of internally generating reports and analysis using plain English? Because I think I saw elements of both in that demo.

Dharmesh Shah

executive
#26

Yes. And those are both great use cases, but both discrete use cases. The reason -- part of the reason I'm so excited about generative AI is for us, not just a discrete set of features we can add to our existing applications, we will certainly do that, but how we can kind of weave it into the platform and make it what we call one of our primary colors, part of the HubSpot framework. And just kind of walk you through this just in terms of the experience of HubSpot, and let's take it from kind of -- I'll make it short. I talk really fast anyway, so it's like watching YouTube on 1.5x, right? And so let's say, one of our customers, they have a website up there, they're posting blog articles on. Those articles will be assisted by generative AI within HubSpot. A customer shows up at the website, signs up and says, like, I'm interested 2 days later, they get an e-mail from that company. And it's like, "Oh, by the way, we understand you're in higher education than you're interested in this. Here's a really good blog post that you should also consider." And the beauty of it, that blog post was written for that individual person. It was not published 6 months ago, 2 months ago. It was published 5 minutes ago once we had the context for that user. Okay, great. Now the user is like, yes, I'm buying internally within HubSpot, people are using the product. And they're like, "Oh, I want -- I'm the head of sales, and I want to generate a report, and walk into a meeting for that shows us the last quarter's revenue broken down by industry in geo. And I want to see the top 5 industries, so just I can kind of talk to the team." Back 6 months ago, that would have been 30, 35 clicks. And now it's just a you express the thing that you have in your head. And I think this is the biggest shift in software is that you kind of state what you want and the software figures out how to get that answer or that report, that workflow, that automation, that whatever for you. And I think that's going to be a radical shift in people's expectations of how software should work. Now that...

Mark Murphy

analyst
#27

And you're stating it in plain English, like a mere mortal...

Dharmesh Shah

executive
#28

Yes. And the odd thing is -- not the odd thing, but the other really cool thing is that it doesn't have to be English, right? It can be any language because as long as you can represent the thing you're looking for, the large language models are roughly ambivalent in terms of which language you use to articulate your particular need, and then we can kind of take that and translate that into whatever is necessary in the HubSpot.

Mark Murphy

analyst
#29

Yes. It will even understand you at 1.5x on the speed.

Dharmesh Shah

executive
#30

Exactly, yes.

Mark Murphy

analyst
#31

So the demo showed -- it showed 20 -- what was it, 20 clicks in a prompt, right? So again you're typing in a prompt and it's saving the user 20 clicks on the screen. Are companies going to still need an admin? Are they still going to need as many admins just to be running HubSpot?

Dharmesh Shah

executive
#32

I think, well, let's take a step back. So the reduction in the number of clicks, which I love, I'm all for efficiency, is really not what the value is. It's not in the reduction of clicks, it's the reduction of complexity, right? So reduction of the cognitive load that a user has to have when they're starting with HubSpot, right? Remember, once again, we're in the SMB space. So if we're selling to a 20-person law firm, let's say, who could be a typical customer, they don't really have like an expert inside of HubSpot. That's one of the reasons we've grown as well as we have, is that it doesn't require the overhead in the cognitive load. This takes it even further, making HubSpot more approachable. So it's not about the 20 clicks that you save when you're trying to build a report to do whatever you're trying to do, it's the 20 hours you save having to learn how the HubSpot software works to kind of do the thing in the first place, right? So it kind of makes the software much more approachable to a wider pool of people and hopefully helps us get from the 180,000 customers to in the millions someday because those companies are out there.

Mark Murphy

analyst
#33

So I believe if we take a look at the substrate layer for ChatSpot, I think what we saw in the demo was using OpenAI's ChatGPT, it makes sense you were meeting with Sam Altman, it was using DALL-E 2, I believe, which was their -- is their image generator. Will it use anything else? For instance, if we look around like do you think it could use Stability? Do you think it could use Midjourney? Do you think it could even use other large language models? Or are you better off kind of picking a substrate layer...

Dharmesh Shah

executive
#34

It's interesting and we love OpenAI and have a deep partnership with them. Having said that, ChatSpot already uses a bunch of large language models for different use cases. And one of the things I think that's important to recognize, and this is going to be -- I'll try to keep this short because it's super geeky is that right now, 95% of the excitement that happens in generative AI is when these large language models produce something for human consumption. It's like, "Oh, write me a blog post about X, Y, Z industry," answer these questions, whatever it is. Or generate an image for me, generate a video for me. And all of those examples, we're generating something a human is going to consume, where it's actually really super interesting and I think where the 95% of the future value is, is generating things that a computer will end up consuming, generating code to say, "Oh, I'm trying to solve this problem. It's like having a super fast, super efficient coding in turn, right?" That's -- they're sitting there 24/7, just to write little applications for you to do whatever you want to do. So I think that's where a lot of the kind of future value is going to come from. And if we recognize that, one of the nice things about generating code or generating structured data out of these large language models is that they're measurable, I would call deterministic. For instance, if I generate a blog post through OpenAI 3.5, 4.0, it's a qualitative judgment asset, whether that blog post with 3.5 is better or worse than 4.0, is better than worse than in [indiscernible] something else. If I generate a body of code or a report or something that's like, that's like I can tell you whether the report is accurate or not, I can tell you whether the code runs or not and does the thing it's supposed to do. The byproduct of that is we can and do swap between large language models. So every week, a new model will come out. And every week, I will say, "Oh, I'm going to run our benchmarks against this new model to see performance-wise is it better, is it better than certain kinds of things, is it better than this, and we have no qualms about using multiple models to get the job done to be able to kind of make the most of where the industry is headed.

Mark Murphy

analyst
#35

Okay, okay. You have optionality.

Dharmesh Shah

executive
#36

Yes.

Mark Murphy

analyst
#37

What would you say to an investor that who may be currently concerned about companies that provide kind of website builder capabilities, website hosting, blogging infrastructure, that this has been a discussion that has impacted companies like Wix and Squarespace and GoDaddy. HubSpot has a small slice of its business there. A lot of that is kind of attached on to the other hubs that you've got. But what would you say to an investor who has a little bit of a concern?

Dharmesh Shah

executive
#38

Yes. I mean it's -- so to me, it's not just about the website building. Okay, so I'll say a couple of things. One is that the website building space, and I've said this, I think, for years now, even with relation to our own product, is that website building over the mid to long term over the fullness of time doesn't solve the complete problem for a customer. What a customer really -- what a company wants is to create a digital experience for their end customers. Now website is an important piece of that. It's like, "Oh, I want to put these 15 web pages up, and I'm going to do a drag-and-drop interface." To me, that's just table stakes, right? What we're going to see now, the disruption is that's going to happen is that even a year or 2 years ago, just doing websites was probably like not enough for some number of customers. Now it's going to be like, what do you mean your digital experience thing that -- which is what it's supposed to be is not connected to your CRM or is not helping me use generative AI to generate a web page on the fly based on what the customer is looking for based on the context? That's just going to be table stakes. So I think based on whether you're an optimist like me or not, I think it creates an opportunity for all of those companies, including HubSpot to say, "Hey, here's a way for us to deliver even more value." But I don't think you can sit on your laurels as a website building, website hosting company just generally speaking about any specific company. I think it's an interesting time.

Mark Murphy

analyst
#39

Yes, for sure. Fascinating. Kate, last one on this topic of generative AI. Do you have a framework for envisioning how you would try to monetize AI capabilities? I mean so if -- let's say, one end of the spectrum could be we're basically going to roll it out there for free. It will enhance the experience, and we will benefit in terms of loyalty and stickiness. There could be something in the middle where there's like stand-alone pricing, it's $5 or $10 a month if you want to have that. There could be a new SKU. Maybe there'd be something, a new SKU that would be even like above the enterprise tier. Have you had any time to think through what is optimal for HubSpot?

Kathryn Bueker

executive
#40

I mean we certainly are thinking and talking about that. This is obviously a very early and highly evolving topic. If you look at HubSpot and you look at our history, I think one thing should be front and center for you, which is we have always made choices that put the customer at the center and sort of prioritize delivering customer value. And so our foundational pricing strategy is, first, deliver value to the customer, then extract value for the customer. And this will be another example where we take that same approach. And so you heard Dharmesh use the words table stakes, like there's likely to be some portion of generative AI features and functionality that will exist in HubSpot as table stakes and will exist in our product as it is currently structured. But there's likely other parts that are either more sophisticated or specialized that maybe they'll be in the higher level additions of enterprise and professional and maybe they drive value there that we would realize over time. There might be a separate SKU for specific things or volume-based pricing. I think the message here is like early days, we're going to wait to make sure we actually understand where the customer value lies and then we'll make the appropriate pricing and packaging choices.

Mark Murphy

analyst
#41

And just to clarify one word, did you say volume -- it could be volume based, or did you say it could be value based?

Kathryn Bueker

executive
#42

It could -- I mean, it could be value based. I mean the foundational decision will be where do our customers find the most value from this product? And how do we price and package it in a way that allows -- it is aligned with the value we're delivering?

Mark Murphy

analyst
#43

Okay. Let me ask you one more. I'm actually getting questions on the iPad, which is -- usually does not happen. And then I'll check from the audience as well. But I do want to ask you about payments. I have -- I try as an analyst not to get too overexcited about super nascent products along those lines. We didn't do that on Coupa Pay. We didn't do that on Twilio Flex. In this area, and I understand it's very, very early, we get that. But our partner feedback is actually very good on the topic of HubSpot payments. So is there a way you can just kind of tell us what is happening there? Are there increasing capture rates of GMV? Are customers booking deals inside the CRM using payments? Any kind of advice on how to think about that trending out the next 3 to 5 years?

Kathryn Bueker

executive
#44

Yes. So payment is, I think, as we have said, tried to say consistently and often a long-term bet for the company. We are purposely trying to be strategically patient in how we build and scale that business. That said, we do see some nice consistent growth in active merchants, which is the North Star that we are currently following is, we continue also to see GMV grow over time. That said, last year, we made a choice to make payments what Dharmesh refers to as primary color, a foundational element that lives in the platform layer that then can be deeply embedded in all of the hubs. And that was a strategic choice that certainly slowed us down in the near term, but we felt it was the right choice to allow us to go further with payments over the longer term. This year, we're focused on continuing to deliver the features and functionality that our customers have been consistently asking for in that native payments application to invest in some flexibility around back-end payment processors, and to make sure that we are thinking about that like end-to-end customer experience as they discover and enroll in payments to eliminate as much of the friction as possible.

Mark Murphy

analyst
#45

Okay. So that's a good nod to the future, I think, just having elevated into one of the primary colors. We're down to about 3.5 minutes. Why don't we see if anyone wants to raise their hand in the audience if we can get you a microphone. Right here.

Unknown Analyst

analyst
#46

First of all, can you just talk a little bit about how you think generative AI might impact the cost structure of the business? And then more broadly, just through that value chain, where the value ultimately accrues?

Dharmesh Shah

executive
#47

Yes. I'll start since I've been watching the numbers and as the usage grows. As it turns out, consumption of these large language models from the foundational model providers is relatively low as to almost be kind of inconsequential. And the other thing we're seeing, and I think is not counterintuitive at all, is that we're going to see dramatic reductions as like every week, there's a new open source large language model comes out. The bigger players are all getting in, all kind of playing catch up, which I think, good for customers like us. So our assumption will be this will play out a little bit like AWS, that we'll see infrastructure providers. Yes, they will capture some value, but there will be enough price competition, and we can maintain optionality enough to agree that we're not dependent on any one vendor. So we don't think the COGS will actually play that much into the overall strategy, especially if you compare the COGS to the actual value we're creating for our customers, we think that's going to be a nonissue over at least mid to long term.

Kathryn Bueker

executive
#48

Yes. I mean the only thing that is certainly our baseline assumption. We are paying a lot of attention to it. And as we think about the pricing and packaging choices over time, that will be one of the elements we consider.

Mark Murphy

analyst
#49

We have one kind of right back in the back row by the column there.

Unknown Analyst

analyst
#50

I'm interested in your view on the opportunity in the commerce space. If we compare the B2C world with what Shopify and others can do with the B2B world, it feels like there is a pretty yawning gap between the two and both what you can do there and whether generative AI plays any role there.

Dharmesh Shah

executive
#51

Yes. So one of the reasons we're actually in payments is that we think it's a critical step towards this larger vision of commerce for B2B. And if you look at the evolution of e-commerce, which Shopify exemplifies, they have done a fantastic job of improving the end user experience for buying things. If you're looking to buy a widget, you come there, you put on your shopping cart and you check out. That needs to exist in our minds for B2B companies. And that expectation is going to continue to rise for the end customer. So what we want to do is to take a considered purchase, a B2B purchase that says, "Oh, you're not going to sell something right online for $19.99." It's going to be a multi-month, multiple people involved, multiple step process, which HubSpot has been kind of working in for our entire history. Can we make that more digital? Can we make that more automated? So I think, yes, generative AI will play a role in smoothing out that experience, but there's a fair amount of foundational work to do. But that's what has us personally excited. It's not payments, not to say payments is not a great vector, but it's the digital commerce experience improvement that I think where the big opportunity is for B2B.

Mark Murphy

analyst
#52

Okay. And with that, we are right on time. Kate, Dharmesh, I cannot thank you enough for taking time out of your busy schedules to be here. Thank you.

Dharmesh Shah

executive
#53

Thanks for having us.

Kathryn Bueker

executive
#54

Thank you.

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