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Good day, everyone. My name is Ryan, and I will be your conference operator today. At this time, I would like to welcome you to HubSpot's third quarter 2026 earnings 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 would like to ask a question during this time, and if you have joined by the webinar, please use the raise hand icon, which can be found at the bottom of your webinar application. At this time, I would like to turn the call over to Vice President, Investor Relations, Jeff Kogler. Please go ahead.

Thanks, operator. Good afternoon and welcome to HubSpot's third quarter 2026 earnings conference call. Today we'll be discussing the results announced in the press release we issued this afternoon. With me on the call this afternoon is Yamini Rangan, our chief executive officer, Dharmesh Shah, our co-founder and CTO, and Kate Bueker, our chief financial officer. Before we start, I'd like to draw your attention to the Safe Harbor Statement included in today's press release. During this call, we'll make forward-looking statements within the meaning of the federal securities laws that are subject to risks and uncertainties, including statements regarding our financial guidance for the fourth fiscal quarter and full year 2026, future financial performance, business outlook, and strategy. These statements reflect our views only as of today, and, except as required by law, we undertake no obligation to update or revise them. Yamini Rangan, Yamini?

Thank you, Jeff, and welcome, everyone. I'll start with our Q3 results, what drove our performance, and how we are responding to the headwinds we're seeing in the market. Then I'll share our progress transforming HubSpot for the AI era. Q3 revenue grew 17% year-over-year in constant currency. We delivered three points of non-GAAP operating margin expansion, bringing our operating margin to 23%. Our total customer count reached over 311,000 globally with 5,300 net additions in the quarter. were still in the early stages of a massive shift with AI, and Q3 reflected that reality. The headwinds we saw in Q2 continued and became more pronounced in Q3. Let me unpack the two underlying trends, how we're responding, and the early results we're seeing. First, customers are evaluating AI differently. They want to see AI work with their data in their environment. They want proof before they buy. We saw the shift early and leaned into it in Q2. We introduced free trials and pricing tied to value and outcomes. We knew this would extend buying cycles and create near-term headwinds, but we believe it's the right long-term trade-off. We're seeing encouraging early results. Agent trials grew 64% quarter over quarter in Q3. But we're also learning that customers need hands-on support to turn AI trials into real outcomes. Our focus is on improving the trial experience and leveraging our partners and solution consultants to help more customers move from trials to paid adoption. Second, we are seeing a shift in demand with increased budget sensitivity. AI is changing how customers discover HubSpot and how they make purchasing decisions. Inbound demand remains under pressure, and we are diversifying to new sources of demand through intent-based marketing, LLM connectors, and AEO. At the same time, tighter budgets are making buying decisions more complex. Upmarket, we're seeing larger buying committees, more CEO, CTO, and board involvement, and therefore longer sales cycles. Downmarket, customers are more price sensitive and focused on optimizing costs. We are adapting our playbooks to these new buying patterns. We're engaging the C-suite earlier, involving more stakeholders and bringing technical expertise into complex deals. We're seeing early evidence that this playbook works. Win rates are nearly three times higher in deals with five or more buying committee members when we engage multiple stakeholders. We're also seeing higher close rates on larger deals with C-suite involvement. Together, these early signs give us confidence that we have the right initiatives in place to address these headwinds, even though it will take some time for them to show up in our results. Despite the near-term headwinds, we continue to see clear momentum in AI and progress across our core and emerging growth drivers. Multihub adoption remained strong as customers consolidated their go-to-market tools on HubSpot. 62% of new ProPlus customers landed with multiple hubs, up two points year-over-year. Upmarket continues to be a growth driver with deals over 120,000, growing 19% year-over-year as larger customers turn to HubSpot to consolidate their data and build the context needed to drive AI outcomes. More importantly, AI adoption is accelerating and credits is emerging growth driver. Monthly credit consumption is up nearly 2.5x since the beginning of the year, with usage diversifying across our agentic use cases. Active core seats grew 34% year over year. These trends reinforce our conviction in accelerating our AI transformation. At Analyst Day, we laid out how we're transforming HubSpot to lead in the outcomes era. AI is fundamentally changing software from tools that help people do work to agents that do the work and deliver outcomes. We are moving with urgency to transform our product, pricing, go-to-market, and how we operate to capture this opportunity. And in Q3, we made meaningful progress in all of these areas. We have transformed HubSpot into an agentic customer platform with four connected parts. HubSpot agents and custom agents deliver outcomes across marketing, sales, and service. Breeze Assistant is now the gateway to the power of HubSpot, shifting the experience from how do I do it to do it for me. We believe this is the future of how people work, and we are investing heavily to make that experience exceptional. Our headless strategy brings HubSpot into leading LLMs through connectors and enables agents to run HubSpot through APIs. and Growth Context makes it all work, giving AI the understanding of a business, its customers and its teams to take the right actions. Together, these four parts make HubSpot the platform where AI understands the business, does the work and delivers outcomes. We're making meaningful progress bringing this vision to life. At Unbound, we doubled our portfolio of HubSpot agents. We launched campaign agent, content agent, and nurture agent to help marketeers build campaigns, create content, and personalize engagement at scale. We also enhanced customer agent, prospecting agent, and data agent to help businesses resolve support issues, generate pipeline, and enrich customer data. We're seeing strong growth in both reach and depth of adoption. 20% of ProPlus customers now use HubSpot agents, up 11 points since the start of the year. Depth, measured by the total number of monthly agentic actions across our ProPlus customer base, has increased 5x since the start of the year. More importantly, agents are delivering measurable outcomes. Customer agent resolved over 2 million support issues in Q3. Data agent enriched 68% more contacts quarter over quarter. And customers using prospecting agent are seeing 76% more qualified leads and 80% more meetings than those who don't. We're also making it easy for customers and partners to build their own agents and workflows on HubSpot. In July, we launched Agent Builder and Agent Hub, allowing them to build, deploy, and manage custom agents powered by HubSpot's growth context. Since launch, ProPlus customers have deployed over 5,600 custom agents. And partners have deployed nearly 700 in Q3, more than doubling quarter over quarter. And we're providing incentives to accelerate this motion. This is an important shift. Customers are building their own agents to solve problems specific to their businesses, with partners helping scale that innovation. Next is Breeze Assistant, which we believe will fundamentally change how customers work with HubSpot. At Unbound, we launched an all-new Breeze Assistant that goes beyond answering questions to taking action. Customers simply describe what they want to accomplish and Breeze builds workflows, creates reports, and gets work done for them. We're seeing rapid growth in adoption and customer satisfaction. 61% of ProPlus customers now use Breeze Assistant, up 24 points since the start of the year. And customer satisfaction has improved 15 points to 69% since the start of the year as well. Take Kaplan Early Learning, a company with hundreds of employees. Their HubSpot admin previously relied on developers to build and update workflows, which could take weeks. With Breeze Assistant, he rebuilt key workflows himself in under four hours and now uses Breeze every day. We believe this is the future of work, a conversational experience powered by AI that understands your business and takes action. We're combining that experience with HubSpot's go-to-market domain expertise and growth context to make Breeze the gateway to our platform. And to round it out, our headless strategy extends HubSpot wherever customers choose to work with AI. We're building the best CRM connectors for leading LLMs like ChatGPT and Cloud, and we are opening up our APIs and MCP capabilities so agents can run HubSpot. We were the first CRM to connect with all four leading frontier models. And today, we are the most popular CRM connector on both ChatGPT and Cloud. What is important is what happens when customers connect HubSpot to their preferred LLMs. They're not just pulling data out of HubSpot. They're doing more work in HubSpot. They're analyzing reports, managing pipelines, creating CRM records, and taking action all through conversations. In Q3, customers created over 22 million CRM objects through connectors within HubSpot, up 157% quarter over quarter. And the more they work with HubSpot, the more value they get from it. Customers using connectors have 13 points higher gross revenue retention and upgrade paid seats at three times the rate of non-connector users. This reinforces our conviction that Headless is additive to HubSpot. As customers use AI to analyze data, manage deals, and take action, they're doing more in HubSpot. That deeper engagement creates more opportunities for seat expansion, stronger retention, and long-term growth. Now, as we transform our product, we are also transforming our pricing to drive long-term growth. Our vision is simple, a hybrid model of seats and credits. We began simplifying pricing in 2024 by lowering seat prices, removing seat minimums, and introducing core seats. While this initially lowered ASP, it has led to healthier customer cohorts with higher retention. Now we're taking the next step to give customers greater flexibility and predictability in how they spend on AI. Our pricing pilot simplifies HubSpot in three ways. It provides access to all HubSpot capabilities through a go-to-market seed, removing hubs. It reduces the price jump from starter to pro across marketing, content, and data hubs, and brings all usage-based features under a single credit mechanism. Early results from our Nordics and Benelux pilots are encouraging. Compared to regions outside the pilot, credit usage is two to three times higher. ProPlus customer volume is higher, while average selling price is lower. We're seeing early evidence that this is working. More customers, greater credit consumption, and stronger new ARR. We've expanded the pilot across EMEA in Q4 for new customers, and we will use those results to determine the timing of the continued rollout. Our goal is to make HubSpot easier to buy and AI easier to adopt. We believe this is the time to remove friction, accelerate AI adoption, and gain market share early in the AI platform shift. Now, let me just close out with a bigger picture. AI is reshaping our industry, and we're moving decisively to position HubSpot for the next era of growth. We recognize the near-term headwinds, and we are taking actions to address them. Our core growth drivers remain intact. AI adoption and usage are accelerating, and we are seeing evidence that our product and pricing transformations are beginning to work. We're making deliberate trade-offs to build a stronger, faster-growing, and more profitable HubSpot for the longer term. We have a clear strategy, we're executing with urgency, and we are confident in the opportunity ahead. With that, I'll turn it over to Kate to walk through our financial and operating results. Kate?

Thanks, Yamini. Let's turn to our third quarter and full year 2026 financial results. Q3 revenue grew 17% year-over-year in both constant currency and as reported. Q3 subscription revenue grew 18% year-over-year, while services and other revenue decreased by 3%, both on an as-reported basis. Domestic revenue grew 16% year-over-year in Q3. International revenue growth was 18% in both as reported and in constant currency, representing 49% of total revenue. We added 5,300 net new customers in Q3, bringing our total customer count to over 311,000, growing 12% year-over-year. Our Q3 net additions reflect continued demand pressure and increased buyer hesitancy, particularly down-market. Average subscription revenue per customer was $12,000 in Q3, up 4 points year-over-year, in both as reported and in constant currency. Customer dollar retention remained stable and healthy in the high 80s. Net revenue retention was 101% down about one point quarter over quarter, driven by a step up in budget sensitivity, which was also more pronounced down market. Q3 calculated billings were $925 million, growing 15% year over year in both constant currency and as reported. Non-GAAP operating margin was 23%, up three points compared to the year-ago period. This expansion reflects our disciplined hiring approach, partially offset by AI costs. GAAP operating margin was 8% in Q3, up six points compared to the year-ago period. This expansion reflects our non-GAAP operating income expansion and a more than three-point reduction in stock-based compensation as a percentage of revenue. Non-GAAP net income was $189 million, and non-GAAP net income per diluted share was $3.81, up 35% and 43% year over year, respectively. GAAP net income was $83 million in Q3, and GAAP net income per diluted share was $1.67. In the third quarter, the company generated $188 million of free cash flow, or 20% of revenue. Our cash and marketable securities totaled $1.3 billion at the end of September. During the quarter, we bought back more than $237 million of stock under our share repurchase program, bringing our 2026 year-to-date repurchases to nearly $1 billion, reflecting the continued confidence we have in our future growth opportunity. Before we dive into guidance, let me share some perspective regarding the headwinds we experienced in Q3, the reorganization we announced in October, and our expectations on the near-term performance of our KPIs. As Yamini shared, we are seeing shifts in demand and customer buying behavior as customers navigate the AI transition. Upmarket, we're seeing more decision makers and longer sales cycles. We're seeing greater price uncertainty and budget optimization. Both headwinds emerged in Q2 and became more pronounced in Q3. Our Q4 and full-year guidance reflects our expectation that these increased headwinds will persist throughout the remainder of the year and into 2027. Given the transition we are driving across product, pricing, and go-to-market, we are prioritizing setting the business up for long-term growth rather than solving for short-term net ads. As a result, we are not providing a net ads estimate for Q4, but expect to be below the 5,000 level we achieved in Q3. We expect low to mid single-digit ASRPC growth in constant currency in Q4. We now expect full-year 2026 net revenue retention to be down about two points year-over-year. We expect customer dollar retention will remain strong and stable in the high 80s, but continue to expect net upgrade rates to be pressured as a result of customer budget optimization. We now expect net new ARR to decline year-over-year in fiscal 2026. On October 6th, we announced a reorganization of our people around customer outcomes, which flattened the organization and created agile teams with clear ownership. This leaner structure will allow us to operate faster and with more focus on our biggest opportunities and reinforce our commitment to profitability. We will invest a portion of the savings in employee retention, AI talent, and platform. We remain confident in delivering our 2027 non-GAAP operating margin target of 23% to 24% and our long-term profitability targets we shared at our analyst day at Unbound. With that, let's dive into our guidance for the fourth quarter and full year of 2026. For the fourth quarter, Total as reported revenue is expected to be in the range of $945 to $947 million, up 12% year over year on an as reported and constant currency basis. Non-GAAP operating income is expected to be between $216 and $217 million, representing a 23% margin. Non-GAAP diluted net income per share is expected to be between $3.85 and $3.87, representing growth of 25%. This assumes 48.9 million fully diluted shares outstanding. And for the full year of 2026, Total as reported revenue is now expected to be in the range of $3.685 to $3.687 billion, up 18% year-over-year on an as reported basis and 16% in constant currency. We expect non-GAAP operating income to be in the range of $772 to $773 million, representing a 21% margin. Non-GAAP diluted net income per share is now expected to be between $13.59 and $13.61, representing growth of 40%. This assumes 50.4 million fully diluted shares outstanding. As you adjust your models, please keep in mind the following. Q4 GAAP operating income will include an expected $60 to $70 million charge for severance costs in connection with our October reorganization. We continue to expect CapEx as a percentage of revenue to be 5 to 6% for the full year of 2026, and now expect free cash flow to be about $720 million. With that, I will turn the call back over to the operator for questions.

We will now move to our question and answer session. As a reminder, if you have joined via the webinar, please use the raise hand icon, which can be found at the bottom of your webinar application. When you are called on, please unmute your line and ask your question. Please limit yourself to only one question today. We will now pause a moment to assemble the queue. Your first question will come from the line of Samad Samana with Jeffries Please unmute your line and ask your question

Good evening and thanks for taking my questions. I'm going to squeeze in a two-parter here. I guess first, maybe could you comment on when you started to see trends get worse in 3Q? And I guess maybe more specifically into 4Q, has that continued to deteriorate? Has it stabilized? And I guess any early green shoots that we can hang our hat on? And then maybe, Kate, for you, I would ask... Given the exit rate of 12% for 4Q, is that a good starting point for 2027? I know the company doesn't normally give an early outlook into the forward year, but just given the slowdown, I was wondering if we could get some contours. Thank you both so much for taking my questions.

Hey, Samad, thank you so much. This is Yamini. Look, I'll talk about the trends that we saw in Q2, Q3, and what we are assuming for Q4. The simplest way to describe what we're seeing is that customers are navigating a major AI platform shift. And that is changing how they evaluate software, how they discover HubSpot, and how they make purchasing decisions. So that's what we've been seeing. So let me unpack each of those trends. First, customers want to see AI work in their own environment with their own data. They want to see the proof of AI before they buy. And as we talked about it in the last earnings call, we recognized the shift early. We introduced trials, and we tied our pricing closer to the value and the outcomes that customers see. Now, trials are growing. That's the green shoot, 64% quarter-over-quarter growth. But they're converting and requires hand-holding. You can't just turn an agent on. Therefore, we are improving the trial experience. We're bringing partners and solution consultants to help the customers get the value faster. So we believe this is the right long-term approach, even though it extends the buying cycles in the near term. Okay, the second big trend that we're seeing is the demand environment is changing with greater budget pressure. And it's a couple of different things here, so let me break it down. Inbound demand, which we've talked about for a number of quarters, it remains under pressure as AI changes how buyers discover software. We've been diversifying through the top of the funnel through intent-based marketing. We're now doing LLM connectors as a source for signups as well as leads as well as AO. But these new channels are nascent and they don't really meet the changes in the inbound demand. Now, at the same time, buying decisions are very complex. We've talked about this for a couple of quarters. Upmarket, there are larger committees with more CEO, CTO board involvement. And that's because it's no longer just a technology decision. This is a strategic choice. So we are responding by engaging senior decision makers earlier. We're involving multiple stakeholders. And we're bringing partners and technical expertise earlier within the deal cycle. Now, again, the green shoot that we're seeing is that in deals with five or more buying committee members, win rate is nearly three times higher when we engage multiple stakeholders. And we're also seeing higher win rate with C-suite involvement. And finally, down market. Customers are just more price sensitive because AI is a new line item and they are looking at controlling the spend across all the experiments and the tools that they're running. And we are leaning into it by simplifying our own pricing. We're lowering barriers to entry and making it easier to adopt AI. Now, all of these trends we started seeing in Q2, which is when we shared all of those. It became more pronounced in Q3, and it is reflected within our Q4 outlook. So we're moving very quickly. Early indicators of our place are encouraging, but this is going to take time for the changes to translate into stronger growth.

Your next question. Sorry, go ahead.

Sorry, I'll follow on, Samad, to your specific question on the guidance and some of the factors that you should be considering as you think about next year. Unsurprisingly, I'm sure we are not providing formal 2027 guidance at this time. As you know, we are early in Q4. Q4 is our most important quarter, and we are focused on executing a very strong Q4. We are also still early in our 2027 planning process. That said, I will share a few of the dynamics that might be helpful as you start to think about your 2027 outlook. The first is that in Q3, our revenue grew at 70% in constant currency. It's down about a half a point from our constant currency revenue growth in Q2. And the decrease was a result of the pressure that we've seen this year, which became more pronounced in Q2. We also expect that these more pronounced headwinds will continue in Q4 and into 2027. Our Q4 guidance obviously implies a more significant step down in constant currency revenue growth, and the deceleration from Q3 reflects the impact of the more pronounced headwinds on our Q4 results. In addition, we shared that we now expect that net new ARR to decline year over year in 2026. And those are the factors that I would consider as you think ahead into next year. Finally, I'll remind you that we took the same approach to guidance this quarter as we have always done. Our approach has not changed. We will obviously share Your next question will come from the line of Brian Peterson with Raymond James. Please unmute your line and ask your question.

Hi, thanks for taking the question. So Yamini, I wanted to see if I could get more detail on some of your trial pricing and packaging. I know you said that maybe the upfront ASPs are down, but you're seeing some encouraging dynamics for customers that have ramped. Is there any color that you can share there? And maybe because I think that would give investors confidence that maybe that's good for HubSpot over the long term.

Brian, thank you so much for the question. Yeah, so let me break it down in terms of the pricing evolution, but also what we are seeing in terms of the pilot that we have in Nordics and Benelux. Many of you who have followed us for a while know that in 2024, we took a set of steps to simplify pricing. And what we specifically did is that we lowered seat pricing, we removed seat minimums for sales hub and service hub, and we introduced core seats. And that made it easier to buy and expand across our seat-based hubs. Initially, we saw the ASPs decline, but then we attracted more customers and we saw stronger retention of those cohorts. And that was, you know, phase one. Now we're doing phase two. We want to further simplify pricing with AI, and our vision is a hybrid model of seats and credits. Seats because it provides access to platform AI and data for anybody within a go-to-market team, and credit because it scales with the AI value and the customer outcomes that we deliver. So that's the pricing evolution. Now, specifically for the pilot that we mentioned in Nordics and Benelux, we're doing three things. We're removing separate hub-based subscription so customers can access HubSpot capabilities through a go-to-market seat. No hubs. And that is a simplicity that customers like. Second, we're actually reducing the price jump from starter to pro for marketing, content, and data hub. And this is going to lower ASPs initially, but it is going to do something really important. It's going to remove the friction in pricing, and it's going to lead to more pro plus customer volume. And this is exactly what we're seeing within the Nordics and Benelux pilots. We're seeing ASPs go down, but we're seeing the number of pro plus customer Thank you for joining us. In fact, we've seen two to three X more credit consumption in the pilot cohorts that we just talked about. Look, it's early days, but our focus is very clear. We want to remove pricing friction. We want to remove packaging friction. And we want to remove AI adoption friction as we go through this process. And as we do that, we have the confidence that over the long period of time, we're setting up for durable growth.

Your next question will come from the line of Jackson Ader with KeyBank Capital Markets. Please go ahead.

Great. Hey, guys. Thanks for taking our question. To follow up on the pricing, it's kind of a It's pricing and it's AI adoption, Yamini. When you talk about trying to solve some of the AI adoption with lowering the friction and changing the pricing and packaging with this pilot program, but then on the other side, you're also talking about needing more solution consultants and partners to be hands-on in order to drive Again, more AI consumption and usage in your core customer base. So I'm just curious, is it more about friction in the products and the pricing, or is it more about people just not getting the value that you'd expect them to the first time around when they see Breeze or when they see some of these agents that you're rolling out? Thank you.

Jackson, thank you. I really appreciate the question. And the question is, you're making changes in pricing packaging, and then you're also putting more consultants and partners. And what is the thing that you're actually trying to accomplish? And it really comes to the segmentation that we have. So look, overall, if you really step back, people are trying to navigate a huge platform shift, and they need to have confidence that it is going to work in their environment. Second, they want to have the predictability in cost. But let me now unpack the dynamics in upmarket versus downmarket. In upmarket, customers really want to drive the outcomes. They want to drive more pipeline with prospecting agent. They want to drive more tickets resolved through the customer support agents. And there, when we introduce the trials, it's not just enough. We want to be able to hold their hands, which is where our partner ecosystem comes in. We also are putting our solution consultants, and we've always deployed pre-sales and post-sales consultants in the upmarket segment. And what we are finding is that when we turn the trials on, Checking back in a week, making sure the outcomes are clear, and being able to follow up with some hand-holding is really important to drive that AI adoption. And when we do that, we begin to see a lot more update. There are tons of examples of those customers, but Eventus is an example that we talked about. They started with a data agent and prospecting agent. They did a trial. During the trial, their pipeline improved, but we actually put some help in order for them to get those value. And then as they've done that, They've continued to expand. Thank you for joining us. All of it is aimed to get our customers and the segment that we serve, small and medium businesses, really navigate a pretty big shift while being very clear in delivering the outcomes in the way that they want.

Your next question will come from the line of Elizabeth Porter with Morgan Stanley. Please unmute your line and ask your question.

Great. Thank you so much for the question. Kate, on profitability, just Q4 was a little bit light and was wondering if you could help us understand what's driving the incremental spending or pressure on profitability. And following the October restructuring, where specifically are you choosing to reinvest those savings and how should we think about the linearity of investments relative to the 23-24 margin target that you have for 2027? Thanks.

Thanks, Elizabeth. Let me just maybe start by taking you back to the conversation that we had at Analyst Day, which was very much around the transformation that we have been going through as an organization for a number of years now. We have been focused on becoming a more efficient and effective organization enabled by AI. And we have done that in such a way where you've seen us really invest in some places and pull back in other places. and specific to your question on Q3, our Q3 margins really benefited from that disciplined hiring approach that we have been deploying now for a number of years. If you look at our headcount ending in Q3, it's actually down quarter over quarter and that created some positive margin momentum going into Q3. Now, in terms of Q4, The headcount reductions that we made as part of our October reorganization will benefit our Q4 operating profit, but we are reinvesting a significant portion of that in employee retention, along with selective hiring in AI and some AI product investments. So there's a bit of a seasonal shift in what we're seeing in profitability in 2026. But we continue to expect that we will deliver nearly two and a half points of margin expansion this year. You also asked about our 2027 and longer term guardrails for operating profit margin, and we remain confident that we will deliver that 23 to 24% non-GAAP operating margin that we talked about at Analyst Day, as well as our long-term profitability targets that we shared at Unbound.

Your next question will come from the line of Billy Fitzsimmons with Piper Sandler. Please unmute your line and go ahead. Billy Fitzsimmons, please unmute your line.

Hey guys, thanks for taking the question here. So with net revenue retention at 101% and it was flagged that it was under a little bit of pressure from budget optimizations, how much of that NRR pressure reflects fewer upgrades versus customer churn are trends meaningfully different between smaller and larger customers or vertical to vertical? Thank you.

Yeah, I appreciate the question. You're right. Net revenue retention was down about a point quarter over quarter. The component trends are very much the same as the ones that we have been talking about for some time. They're just more pronounced in Q3 than what we've seen in the last couple of quarters. And just to reiterate, customer dollar retention which is our gross churn remains very strong and stable in the high 80s and it's you know the net upgrade that remains under pressure specifically though we are seeing the core persona core seat and persona seat upgrades continue to be a tailwind to net revenue retention but they are now being more than offset by headwinds elsewhere which We do expect that these trends will continue which is why we have updated our view or expectation for our net revenue retention for 2026 to be down approximately two points. That said, and we talked about it explicitly in some of the pricing discussions that Yamini just had, the seats and credits model really does set us up for stronger net revenue retention over time by lowering the barrier to entry to get started and making it easier to grow AI use cases on HubSpot.

Next up will be Tyler Radke with Citi. Please unmute your line and go ahead.

Thank you for taking the question. But my question is just on the timing of some of these changes you're making. As you think about the rollout that you saw in the Nordics and Benelux with the trade-off of lower ASPs, how long are you expecting that to take to roll out and sort of the impact on the rest of the business? And how should we just think about that from a timing and revenue impact thinking about 2027?

Teller, let me take this, and I'll say that in terms specifically of the timing of the rollout, Nordic's pilot, we started in April, Benelux, we started in June, and those have been ongoing for new customers on this flexible seats and credits model. In Q4, we expanded it for all of EMEA for new customers only. So that is what is going on. That's now four weeks into that process. And we will use the results to validate customer adoption, credit usage, retention, and the impact on new ARR before we finalize the timing of the broader rollout. As you can imagine, this is still early within Q4, and we want to see The pilot run through all of EMEA for new customers before we decide the full timing. And as Kate mentioned, we'll come back and talk to you about 2027 when we finish out the year and start with the new year.

Next question will come from Sameek Chatterjee with JP Morgan. Your line is now open. Please go ahead.

Hi, thanks for taking my question. Good to get an opportunity to talk to you guys. Maybe on the visibility into the net ads, you're sort of talking about less than 5,000 customer ad into Q4. Understand some of the industry-wide headwinds you're facing at this point. But when you think about sort of the lower visibility there, can you just flesh that out in terms of how the pipeline looks? for new customers. What are you seeing in terms of engagement and is there a function in terms of maybe more of your resources being diverted towards upsell with the existing customers or the pilot programs where maybe you're sort of seeing the pipeline on the new customer side drop off at the same time? Any sort of more insights on what's going on with the lower sort of numbers there? Thank you.

Yeah, I appreciate the question. Maybe I will try to first talk about what happened in the quarter, talk about the underlying drivers of net additions, and then talk about the expectations and guidance that we put forward for Q4. So I'll just start with Q3. We added 5,300 customers in the quarter, which was in line with the 5,000 to 6,000 range that we shared on our last call, but down from the 7,000 net ads we delivered in Q2. And this reflects the demand pressure and the pricing sensitivity that we're seeing down market. Thank you so much for joining us today. and the customer acquisition motion for this segment is an inbound product-led motion. And as demand shifts, like Yamini's been talking about, and customers become more price sensitive, it shows up in net ads in a really outsized way. We're making changes across product pricing and go-to-market to address the challenges that we are seeing down market. We relaunched our starter product with a self-updating CRM and agentic onboarding. We're continuing to diversify our sources of demand, including into social LLM connectors, into partnerships, and also AEO. We're piloting our seats and credits pricing model to address some of that key pricing friction, especially in the down market segment. And we think these are the right steps to transform our down market business, but they're going to take time to impact the results. In the meantime, we expect the level of uncertainty in the metric to be elevated, right? And so we're not providing a specific expectation for Q4. That said, we will provide Q4 actual results as part of our February earnings pile. And we're going to make the right choices to drive long term growth rather than solving for the short term metric of net ads.

Your next question will come from the line of Kirk Maturne with Evercore. Please unmute your line and go ahead.

Thanks very much for taking the question. Yamini, just maybe a higher level question for you, which is you guys have done a lot on product and packaging. Is there just more to be done in an AI world from a go-to-market perspective with you all? And I guess, how are you thinking about that going into 27 in terms of the need to handhold perhaps at the higher end of your customer base? Thanks.

Perk, yeah, thanks a lot. I think it's, you know, all of the above. Like, this is a pretty massive shift. And the way we've thought about it on the product side is product is all about delivering outcomes. And the way we have thought about it from the go-to-market side is putting the resources in the right roles with the right incentives to drive those outcomes. That is broadly how we have thought about it. Now, it shows up differently up-market and down-market. In Upmarket, as one of the things you know, we brought sales and CS together under one organization. And the reason is we want that handoff between starting your first trial to closing the first AI use case to expanding on top of it to be very, very seamless. And that is what that organization is focused on. And that's where we're putting the resources. The second is, you know, I talked a little bit about the trial motion, but that's a go-to-market change, right? We are landing with trials, which means our reps need to be very focused on making sure that during the trial period, there is clear and fast outcome. During the same trial period, we got to bring the partners as well as some of the pre-sales consultants in to deliver the value. And so there's just much more closer coordination that's happening from the go-to-market perspective. And then the expansion becomes very, very obvious in AI because once you land and once you start getting the value, the expansion becomes almost natural. So the kinds of things that we're doing in go-to-market is really tied to how do we land with success? Smaller AI use cases. How do we show value during the trial period? How do we show compounding returns as AI and agentic use cases begin to drive impact? And how do we make pricing super simple and predictable for the segment that we are really focused on? So those are the sets of changes that we're doing in go-to-market.

Your next question will come from Siti Panagrahi with Mizuho. Please unmute your line and go ahead with your questions.

Thanks for taking my question. Yamini, I think at a high level, what investors are trying to figure out, this transition seems like not a year or two, probably a multi-year transition. How do you see this? Should we expect this growth to stay below this level as you transition? Or how should you think about as you try to roll it out, new versus existing? How are you trying to balance growth and profitability?

Well, I think there are two parts of your question. The first part is, it seems multiple quarters. How should we think about the growth trajectory of the company and what gives confidence? And then the second part is, as you do that, how do you balance growth as well as profitability? So look, I think we've been very clear that this year we are seeing headwinds and the headwinds are how our customers evaluating AI as well as who is making the purchasing decision. And that has impacted both Q2 as well as Q3. And we are facing the same kind of headwinds in Q4. So the short answer is we expect the headwinds to continue into Q4. Now, the path for us back to stronger growth is transforming our product pricing go-to-market, which is what we are accelerating. We've done a number of deliberate choices to create near-term pressure that creates near-term pressure, but it's the right thing for the company and the right thing for our customers as they go through this. Trials is an example, the pilot of seats and credits that we just talked about is an example, and a number of other things where we are investing to help our customers grow. Now, we are seeing early evidence that the product transformation is working. And we've provided a framework for how you all should be evaluating our product transformation, which is, first one is reach. What percentage of our customers are actually using our AI products and agents? 64% of ProPlus customers are using AI features, and 20% are using agents, and that's up quarter over quarter. Second part of the framework is depth. How many actions are they taking and are they doing it frequently? And ProPlus customers are taking 5x more actions than the beginning of the year. And that means credit consumption is up nearly 2.5x. So those are the early indicators that the product transformation is beginning to work. We would love to see that accelerate, but we're not satisfied with that. And we're also making sure all of the pricing friction is removed. So, look, the green shoots are there. We have a very clear strategy, but this is not going to be a single quarter or a two-quarter transformation. We are going to take all of the right actions to set HubSpot up to be able to capture the broader opportunity that is ahead. And then, sorry, I want to make sure that I capture the second part of your question, which is you asked how are you going to balance growth and profitability. The transformation is not just on the product and pricing side. We are transforming HubSpot internally, and that is what has given us the ability to increase our profitability. Kate just walked through the commitment for this year. She walked through the commitment for operating margin for 2020. Your next question will come from Remo Lenchow with Barclays. Your line is now open. Please go ahead.

Hey, guys. This is Damon Coggan. I'm from Remo. Thanks for taking the question. Just a quick one on the wind variance comment. Being three times higher when you engage with five or more buying committee members, is there a sense of what share of upmarket customers get that treatment today? And what does that multi-threaded playbook do to sales costs and payback period? Thank you.

That's a good question. So first of all, when we talk about multiple stakeholders, we're talking about upmarket customers. And what we are noticing with upmarket customers is that they're not doing technology purchase. They're actually making a strategic choice for the AI platform that's ahead, which means they're bringing in CEOs, CTOs, sometimes even the board for approval. So that is the shift that's happening within upmarket customers. And the comment that I made about win rates is that our playbooks are changing to accommodate for how buyers are changing and who becomes the decision maker. And therefore, our sales teams are now really focused on making sure that any large deal that they're working on They are multi-threading. They are talking to multiple stakeholders. They're involving our C-level executives and making sure that we have a complete buy-in from upmarket buyers for the decision that they're making. And specifically when they do that, we see the win rates improve, which means that the playbook that we have put in place for our upmarket is beginning to work. And we want to double and triple down on that during Q4, but also double consistently do that as we go further ahead into next year.

Next question will come from Terry Tillman with Truist. Please unmute your line and go ahead.

Hi, guys. Giancarlo on for Terry here. Thanks for taking the question. What AI products do customers see the highest ROI from and how quickly do they typically see that value?

Thanks. Can you please repeat the question? I think I didn't get the first part of the question.

I guess what AI products do customers see the highest ROI from and then how quickly do they typically see that value?

Great. Thank you for that question. And look, if we step back and go to market, the buyers really care about four outcomes. In marketing, they want to build demand. And in sales, they want to be able to win deals and close the pipeline that they have. In post-sales, it is about delighting customers. And then overall, go to market is about driving efficiency by scaling growth. So if you think about the outcomes, those are the consistent set of outcomes. Now, in terms of the AI products where we are beginning to see a ton of traction, the first is actually creating your TAM and the data agent and the combination of data agent and prospecting agent with intent signals is really high value. We've given a number of examples, but the easiest way to think about it is take your data in CRM, whether it is company data or contact data, enrich it so that you can prepare the right audiences for campaigns, enrich it so you can drive the right prospecting conversations. And so the consistent one is really data agent plus intent plus prospecting. That is what is driving immediate value, and we begin to see that. The other one, and we've had this as a longstanding one, is customer agent. Customer agent results support tickets, and we are consistently seeing the quality of the resolution of the tickets is high. And if customers have knowledge base and they have very clear kind of documentation of the processes, it begins to work pretty immediately. Now, those are early, and we are continuing to, one of the things that we have seen from Q2 to Q3 is the diversification across all of these agents. We now have a fleet of about eight agents, and there is a diversification in terms of all of these agents, and that shows the value that many of them are beginning to deliver for our customers.

Your next question will come from Keith Bachman with BMO. Please unmute your line and ask your question.

Yes, many thanks for the opportunity to ask a question. I wanted to go back to go to market for a second. And the focus is really on trying to understand strategic decisions. What I mean by that is you're rolling out Nordics and Benelux. And as Yamini, you indicated, you're going to make some evaluations as you roll broader Europe. When you think about the pricing to new customers, I'm trying to understand What would be the criteria to roll it out to existing customers or not? And because of the implications, I think, on the duration of the transition are remarkably different. And so would it be possible to have two tier customer pricing, one to new customers, one to existing customers? Because if I'm a new customer, I see lower ASPs. I think I want that. But maybe just help me understand the decision making criteria. because, again, it would have meaningful implications, I think, on the duration of transition, but love to hear your feedback here.

Sure. Thanks a lot for that question, Keith. So just to simplify it, we want to be in a world where our growth drivers are credits and seats. That's it. And that is the future world that we want to be in. And there are multiple steps within the process. The first is in Q4, all of EMEA is now We want to see the impact in terms of adoption for new customers. We want to be able to look at the adoption of AI and how this is removing friction. And based on the results for the new customers, the first step in the decision-making process is how quickly we will roll it out for the rest of the world. That's the first step in the process. And we want to get a complete handle in terms of how this is removing friction for new customers before we get into the install base of customers. And so the next step in the decision-making process, once we get high degree of comfort that this is driving AI adoption, it's removing friction, it's driving more ProPlus volume of customers, once we do that and once we have the new customer rollout, then we'll actually think about the migration. At this point, we're not really focused. And to your earlier question, yeah, this is not one where, you know, there is a timeline for migration. We don't need to, you know, have everybody in one in the longer duration of time. We want it to be, you know, a hybrid model of seats and credits. And I understand the question and will continue to be very transparent as we go through pilots and we learn from those pilots.

Your next question will come from Ken Wong with Oppenheimer & Co. Please unmute your line and ask your question.

Great. Thank you for taking my question. I wanted to maybe dig in on what Keith was just asking. I realize there's no timeline to push this out to the install base, but based on what you guys have seen in the Nordics, do customers that utilize the new seats, do you get a sense that there is a desire to maybe push that model down to the install base? What kind of feedback are you getting from customers in terms of that pricing dynamic?

Sure. Look, let me just explain the pricing dynamics and the feedback that we're getting from customers. The first thing is that we're just removing the seat lines, and you can just buy a go-to-market seat, which means, you know, if a customer is trying to figure out, do I need sales subpro with a service subenterprise, they don't need to do it. So the overall feedback from new customers is that they like the simplicity of just use HubSpot and just use it with a go-to-market seat. Now, that's completely different for existing customers who've already bought hubs and who understand it. So the first part of it is actually much more beneficial for new customers who just want the simplicity of starting with all of HubSpot capabilities. I think the second one is really how do we reduce the friction of going from a low bundled product for starter to a very high pro for marketing hub, content hub, and data hub. And again, that is beneficial for new customers as they navigate their choices that are there. And what we're seeing is the volume of pro plus customers is high, even though the ASP, as you can imagine, is initially lower. But the combination of that means that they will continue to upgrade over time. And then there is a psychological thing that we're seeing, which is like if all of your add-ons is just in one usage-based mechanism, which is credit, then there's somehow an easier way in which customers are adopting. So credit does not become a friction point for new customers. They understand what credits are. They're They understand it's for all usage based mechanism and therefore they're adopting that more, which is why we see, you know, two to three X more credit consumption. Again, this has been tested with the new customers. It's in all of EMEA as we complete this fiscal year and come back to you in February. We'll share a lot more details about what we saw in EMEA and therefore the timing of future rollouts.

This concludes today's call You may now disconnect