Coursera, Inc.

question during this time, please press star, followed by the number one on your telephone keypad. If you would like to withdraw your question, again, press star one. I'd like to turn the call over to Cam Carey, Head of Investor Relations. Mr. Carey, you may begin.

Hi, everyone, and thank you for joining us for Coursera's Q4 and full year 2024 earnings conference call. Today, I'm pleased to be joined by Andrew Ang, Coursera's Chairman and Co-Founder, Jeff Magian Calda, our current chief executive officer, Greg Hart, our incoming chief executive officer, and Ken Hahn, our chief financial officer. Following their prepared remarks, we will open the call for questions. Our earnings press release, including financial tables, was issued prior to the market open and is available on our investor relations website located at investor.coursera.com, where this call is being simultaneously webcast and where versions of our prepared remarks and supplemental slides have been posted. During this call, we present both GAAP and non-GAAP financial measures. The reconciliation of non-GAAP measures to the most directly comparable GAAP measure can be found in today's earnings press release and supplemental presentation on our investor relations website. Please note, all growth percentages refer to year-over-year change unless otherwise specified. Additionally, all statements made during this call relating to future results and events are forward-looking statements based on current expectations and beliefs. Actual results and events could differ materially from those expressed or implied in these forward-looking statements due to a number of risks and uncertainties, including those discussed in our earnings press release, supplemental presentation, and SEC filings. And with that, I'd like to turn it over to Andrew.

Hi, everyone. We appreciate you joining us today. Before we discuss our results, I would like to take a moment to touch on yesterday's leadership announcement. First, on behalf of the board, I want to thank including completing our IPO, growing our revenue from less than 100 million in 2017 to nearly 700 million by the end of 2024, while achieving profitability, rapidly expanding our platform products and offerings in collaboration with the world's best educators, including partnering with more than 200 new universities and industry leaders, while remaining a faithful student of Coursera's number one goal to serve learners and to transform lives through learning. His leadership and dedication helped to build a strong foundation and the belief that Coursera or advance their career. Academic institutions need to modernize the curricula and teach learners the skills they need, not for the past, but for the future. And enterprises need a more agile and adaptive solution to power upskilling initiatives for the most important asset, their people. After all, human capital is the most valuable form of capital, and we all have to invest in building that. future of learning. Together with Jeff, the board has been thoughtful, comprehensive, and deliberate in selecting the right person to lead Coursera's Mixed Phase. Greg Hart is an exceptional and proven leader. With over 25 years of experience leading technology-driven businesses, he has a long track record that is highlighted by that rare combination of innovation and operational including successfully navigating two decades of transformational technology shifts while at Amazon, and scaling multiple businesses domestically and internationally with rigorous execution, and leading customer-focused product development, including an early AI-based consumer product, Alexa. This wealth of operational expertise I will now hand it over to Greg to share a few words.

Thank you, Andrew, and good afternoon, everyone. I'm honored to take on the role of CEO and excited to build upon everything that Jeff and the collective team have accomplished. Coursera is a transformative company with a powerful mission. I've long admired the company's ability to bridge the gap between education access and economic opportunity, serving millions of learners and thousands of institutions with a platform model powered by partnerships with over 350 world-class universities and industry leaders. The industry is at a critical moment, accelerated by the rapid adoption of AI. As with other transformative technologies that I have navigated throughout my career, AI is poised to dramatically reshape industries and tasks across all sectors and regional economies. And I believe this can create a future demand for learning that will be nearly limitless. Individuals and institutions will need to be more agile, learning at an accelerated pace to ensure they have the relevant skills and talent to remain competitive in a global labor market. Meeting this demand will require a market leader in education and technology with the capacity to transform access, deliver new experiences, and enable the future of learning and work. I believe that Coursera has that capacity and is uniquely positioned to capture this opportunity. Thanks to Jeff and the management team's work, Coursera is on solid footing, operating from a position of financial strength with a distinct set of assets. In the coming days and weeks, I'm looking forward to spending my time immersing myself in the business, getting to know the team, engaging with our partners and customers, in gaining a deeper understanding of the company and how to accelerate our progress against the opportunities ahead. I'm committed to driving a new phase of innovation and excited to work alongside such a talented team to shape the next chapter of Coursera's growth and leadership. Thank you. I'll now pass it to Jeff.

Thanks, Greg. I cannot be more thrilled to see you take on this role. Serving as CEO for the past seven and a half years has been a privilege and a thrill. When Andrew and the board gave me the opportunity to lead Coursera in 2017, my wife and I both felt that there was nothing more fundamental or more important that I could dedicate my time and talent to than providing education to the world. During that time, technology and globalization were changing industry after industry, and the jobs most at risk of automation were typically held by lower skilled workers. Fast forward to today, and generative AI threatens the jobs of not only lower skilled workers, but of knowledge workers as well. The talk of Davos was AI, and the phrase of the day was FOBO, fear of becoming obsolete due to AI. Technology is dramatically shaping how we live, learn, and work, and requires every one of us, whether you're a CEO, a data scientist, or an Uber driver, to learn and adapt in order to keep up in this changing world. Earlier this month, the World Economic Forum published its Future of Jobs Report 2025. I encourage you all to read it. The findings, based on responses from over 1,000 companies, reinforce both the magnitude of change expected in our global labor markets and the opportunity ahead for Coursera and the industry. The report found that workers on average can expect that nearly 40% of their existing skill sets will be transformed or become outdated over the next five years. And these skill gaps are considered to be the biggest barriers to business transformation. In response, 85% of employers plan to prioritize upskilling their workforce. Unsurprisingly, AI and big data topped the list of the fastest growing skills But complementing these are human skills like creative thinking, resilience, and agility, all things required to adapt to change that are expected to rise in importance by 2030. This moment calls for a new model of higher education and lifelong learning. Coursera's ecosystem of learners, educators, and institutions is positioned at the intersection of these trends. And over the course of 2024, our team made substantial progress in scaling and deepening the three advantages that distinguish our platform. I'd like to take a moment to highlight the progress that we've made to drive future growth. First, our leading educator partners, who created a broad catalog of trusted content and credentials. In 2024, we welcomed more than 25 new educator partners, ending the year with over 350. This included many of the world's most respected industry leaders, including Adobe, Johns Hopkins Medicine, Samsung, Xbox, and more, as well as prominent universities like Said Business School and the University of Oxford and IT Hyderabad. We also deepened our relationship with existing partners. I'm pleased to share that we've extended a multi-year relationship with our largest industry partner, sending the foundation to jointly serve our learners and customers in years to come. In addition to growing our educator partnerships, we've also been able to accelerate our content engine, deploying new technology tools and production arrangements with our partners. We launched nearly 40 new entry-level professional certificates. Many of our certificates in this catalog have received credit recommendations from ACE, ECTS, and NSQF so that industry micro-credentials can create pathways to both well-paying jobs as well as college degrees. We also rapidly expanded our catalog of generative AI courses and credentials. Our partners, many of which are the world's leading AI companies, added over 450 Gen AI courses this year as they look to meet the growing demand for these skills. In 2024, we saw six enrollments per minute in Gen AI content, up from one per minute in 2023. For the first time, a generative AI course, Google's AI Essentials, was the most popular course of the year with over 900,000 enrollments. Our second advantage is Coursera's global reach to individuals and institutions. In 2024, we welcomed 26 million new learners from across the world, the most since 2020, growing our learner base to 168 million by the end of the year. We added nearly 250 new paid enterprise customers, ending the year with more than 1600 businesses, campuses, and governments using our platform. To deliver more value for these learners and customers, we continue to invest in our platform's third advantage, product innovation. Our innovation efforts have been focused in areas where we can uniquely leverage AI to redefine the experience for our learners, educators, and customers. The first example is Coursera Coach, which started as a learning assistant, but has rapidly grown to become a core presence across our platform. With expanding capabilities in career guidance and discovery, instructional design support, and interactive learning. This year, more than 1.7 million learners exchanged over 21 million messages with Coach. In Q4, we launched Coach Dialogues, providing personalized interactive learning where Coach acts as an extension of the instructor. This is the future of learning, and partners including Google, Stanford, Amazon, Johns Hopkins, Vanderbilt, and Microsoft have already added Coach Dialogues to their courses. Second is our AI translation initiative, allowing us to better serve the growing volume of learners coming from outside the US. To date, our learners have driven more than 2.4 million enrollments in AI translated content, and we recently added support for Dari, Hungarian, and Pashto, ending the year with up to 24 languages available in nearly 5,000 courses. In Q4, we started experimenting with AI audio and video dubbing so that learners can both see and hear the top instructors in the world speaking in their own language. Finally, we continue to make progress on Course Builder, our generative AI-powered authoring tool. In 2024, our enterprise customers, particularly campuses and businesses, started using Course Builder to create custom, private courses as they tailor our learning content to their specific organizational needs. In total, our advancements in 2024 provide only a glimpse of how Coursera will transform the teaching and learning experience. And I believe that Greg's deep innovation and technology expertise will help to further accelerate our team's capabilities and these initiatives. In closing, I want to thank Andrew, the board, and our exceptionally talented team. At Coursera, our mission is to provide universal access to world-class learning so that anyone, anywhere, has the power to transform their life through learning. For me, it's been an inspiration at the end of every day to know that we're not only building a great company, but we're also serving the world through one of the most effective forces for empowering individuals and institutions to rise to their full potential. I'm deeply proud of what we've accomplished in the past seven years, grateful to be a part of this incredible journey, and looking forward to watching Coursera change, grow, and redefine what is possible in the years to come with Greg at the helm. Now I'd like to hand it over to Ken to walk us through the financial results. Ken, please go ahead.

Thank you, Jeff, and good afternoon, everyone. Over the course of 2024, while growth fell short of our goals, we nonetheless continue to demonstrate strong financial and operating leverage in our model. In particular, we delivered more than 750 basis points of annual adjusted EBITDA margin expansion and generated over $59 million of free cash flow. Please note that for the remainder of the call, as we review our business performance and outlook, I'll discuss our non-GAAP financial measures, unless otherwise noted. In the fourth quarter, we generated total revenue of $179 million, which was up 6% from a year ago on growth across all operating segments. Gross profit was $97.5 million, a 54% gross margin in line with our gross margin in the prior year period. Total operating expense was $93.1 million, or 52% of revenue, an improvement of one percentage point from the prior year period. Net income was $13.3 million, or 7.4% of revenue, and adjusted EBITDA was $9.5 million, or 5.3% of revenue. For the full year, we delivered total revenue of $695 million, up 9% from a year ago. Gross profit was $379.6 million, a 55% gross margin, up from 53% in the prior year. Total operating expense was $357.7 million, or 52% of revenue, an improvement of six percentage points from the prior year on continued operating discipline across all functions. Net income was $55.6 million, or 8% of revenue, and adjusted EBITDA was $41.5 million, or 6% of revenue, which was up from negative 1.6% in 2023 as we extended our long track record of consistently delivering improving scale and leverage each year. Moving to cash performance in the balance sheet, in Q4, we generated free cash flow of $7.4 million, and as I highlighted before, delivered more than $59 million for the full year. This included over $17 million in purchases of content assets, which, as of the beginning of 2024, we began treating like other categories of capital expenditures, effectively lowering our free cash flow computation. In the coming year, We've earmarked approximately $20 million to continue driving this content engine initiative, which, importantly, provides us with multiple long-term benefits, including pipeline visibility, platform exclusivity, and more attractive revenue share economics over time. Our free cash flow performance bolstered our already healthy balance sheet. We ended the year with approximately $726 million of unrestricted cash, cash equivalent, and marketable securities with no debt. This was approximately the same balance as the beginning of 2024 as the completion of our share repurchase program designed to target dilution was offset by a strong operating cash generation. As we've discussed in the past, our capital allocation framework emphasizes the strategic optionality provided by our strong financial position, which we believe is particularly valuable given the industry's current pace of change as well as our desire to grow and enhance our leadership position. Now, I'd like to discuss the fourth core performance of our segments, starting with consumer. Consumer revenue was $101.7 million, a 5% from the prior year, and solid demand for our Coursera Plus subscription offering. Following our October discussion of consumer retention trends, we made some progress stabilizing the month-to-month softness with our Coursera Plus subscriptions with initiatives planned across content, product, and marketing in the coming year as we seek a return to more significant growth. Segment gross profit was $54.9 million, or 54% of consumer revenue, up from 53% in the prior year period. And we added more than 6 million new registered learners, despite Q4 being our historically lightest quarter in terms of top of funnel seasonality. Consistent with the regional trends we discussed in the past several quarters, softer growth in North America translates into a higher proportion of learner traffic coming from international regions, which on average have lower lifetime values given the price point. Moving to our enterprise segment, enterprise revenue was $62.3 million, up 7% from a year ago, and driven by the momentum in our business and campus verticals. Segment gross margin was $42.6 million and remained at 68% of enterprise revenue. The total number of paid enterprise customers increased to 1,612, up 18% from a year ago. And our net retention rate for paid enterprise customers was 87%, reflecting the transitory budget dynamics we've discussed in prior quarters. And finally, our degree segment. Degrees revenue is $15.2 million, up 14% from a year ago, on growth in new students and scaling of recent programs. The total number of degree students grew 22% from a year ago, 26,700, primarily due to some sizable new student cohorts from more recently added programs in India. As a reminder, there's no content cost attributable to degrees, so segment margin was 100% of revenue. As we discussed in October, we expect the degrees market and broader opportunities to serve universities will continue to evolve, and we want to be clear about our focus in the near term. In 2024, we are selective in our pursuit of partnerships and programs that align with our platform strengths. This approach, coupled with our recent expense initiatives, prioritized resources and investments, leads us to anticipate a revenue decline in our degree segment for Q1 and full year 2025. We continue to believe this is an attractive long-term market that we can uniquely serve, but our pace of investment will shift to more productive near-term opportunities, such as Coursera for Campus, that can position us for a more immediate return to growth company revenue trajectory. Finally, turning to our financial outlook. As you know, our historical practice entering a new year has been to provide some incremental color on the composition and pace of our business, particularly given the diverse global markets and broad ecosystem our platform serves. Over the next several months, Greg will work closely with the rest of the management team to assess areas and opportunities for growth in support of Coursera's long-term strategy and the creation of shareholder value. Once he's had the opportunity to do so, our intention is to provide more detailed full-year 2025 expectations in the coming months. For the full-year 2025, we expect to continue to generate positive overall top-line growth. We anticipate top-line growth in both our consumer and enterprise segments, and as previously mentioned, expect our degree segment revenue to decline in the year. and we'll provide refined guidance on the magnitude of the overall growth and that of the segments in the coming months. For full year adjusted EBITDA, we remain committed to extending our strong track record of delivering annual EBITDA margin improvement. We have done so each year as a public company and even in the immediate years preceding our IPO. Our initial expectations are to once again expand annually EBITDA margin, though at a less aggressive pace in order to provide the company with the flexibility and capacity to invest in growth initiatives. At the end of the day, our long-term prospects and value will depend most heavily on us growing and succeeding in our large and attractive market. As we work to reignite the higher growth rates we enjoyed until just recently, we'll continue to operate in a disciplined financial fashion. Over the past two years, we delivered over 1,300 basis points of EBITDA margin expansion including more than 750 basis points in 2024. We've made strong progress on our business model and ability to generate cash, particularly as the team demonstrated its ability to operate with financial discipline and delivered consistent productivity improvements in scaling our core capabilities. This scaling, in a moderation of the aggressive pace of improvement, is designed to provide us the room this year to further differentiate and enhance Coursera's leadership position. With regards to the quarterly guidance for Q1, we expect revenue to be in the range of $173 to $177 million, representing growth of 2% to 5% year over year, driven by our enterprise and consumer segments. For adjusted EBITDA, we're expecting a range of $8 to $12 million. We entered 2025 in a position of operational and financial strength with the flexibility and stability needed to effectively execute on our long-term strategy and bolster our return to higher growth. We are confident now is the right time to be joined by Greg, who has decades of experience successfully navigating technology trends, steering product development, and scaling new and international markets. I'm excited to work alongside him and deliver Coursera's next phase of innovation, growth, and industry leadership, and in the process, create value for shareholders, while transforming the global higher education market for the millions of learners, customers, and educators we serve. With that, I'll open the call for questions.

Thank you. For today's Q&A session, Andrew, Jeff, and Ken will be available to answer questions. As a reminder, if you would like to ask a question during this time, please press star followed by the number one on your telephone keypad. We will now take our first question from the line of Steven Sheldon with William Blair. Your line is open.

Hi, team. Yeah, Pat Mack will be on for Steven today. Thank you all for being here and taking my questions. My first question, can you just talk more about the trends you're seeing in enterprise and more specifically where you're seeing notable weakness or strength across campus B2B in government?

Yeah, hey Pat, this is Jeff. So enterprise, we obviously look across the three verticals, the business, government, and campus. I'd say where we're seeing weakness has been in not only expansion bookings, but also new bookings in Coursera for government workforce development types of programs. I mean, to a large degree in the years following COVID, a lot of money went into programs to kind of upskill and generally support individual citizens. Many of those budgets have turned out to be transitory. That's where we're seeing some weakness, and that's been weighing on the NRRs. When you look at the NRRs in Q4 and the trend of NRRs that we've been seeing, we've talked about that in previous quarters. The other part of weakness that we're seeing notably is Coursera for Campus when it's not used for credit. So clearly universities, colleges, vocational programs, they are really struggling to come up with curriculum that make the training that they do for students relevant to the workforce. And the faster things change, the harder it is to keep pace. When universities and colleges and other educational institutions use Coursera, but kind of avoid the process of integrating into the curriculum and avoid all the faculty approval process, what we find is that the students are less likely to take the courses because they're not getting credit for it. And they're also more of a cost center than a profit center for the educational institution because they're not receiving tuition for the courses being offered. When you offer Coursera for Campus for credit, the opposite is true. Suddenly, students take it at higher rates. The completion rates among students who are taking Coursera partner courses for credit are the highest across our entire platform. And because it's for credit, the institution is receiving tuition, but the relative cost of delivering those credit hours is lower. So it's early days. We're seeing great progress in India and in certain regions where this embrace of online learning and integrating it into college degree programs has been faster. In Europe, we've seen it a little bit slower, but it clearly seems that this is the beginning. We are seeing the beginning of educational institutions around the world realizing they cannot keep up without partnering with someone like a Coursera to provide this kind of content.

Okay. Thank you, Jeff.

I'll jump in briefly as we look forward to 2025 and discussing the overall enterprise growth, which we expect for 2025. In rank ordering, since you asked the question before, C for C, we expect to deliver the most growth next year, followed by C for B, and then C for G, of course, with the... Yeah, and one more thing.

I mean, you asked about the weak spots. One other bright spot that we saw, it's been building, but we certainly saw it in Q4 last is Coursera for Business in North America is looking pretty strong, driven mostly by AI upskilling efforts. I mean, it seems like businesses in North America are embracing, sort of seeing and embracing the need to upskill their employees the fastest. They're also the ones who seem to be differentiating and caring, discriminating between the generative content on Coursera versus other places, and frankly, the generative AI teaching and learning experiences that are built in the platform. So we're seeing signals that the demand is growing from businesses on generative AI and that the Coursera content and platform are pretty well differentiated against the competition for those kinds of buyers looking for this kind of a generic skill and solution. And we think that North America is leading the world in the adoption of this in the business sector.

Okay. Thank you both for clarifying that and the additional color. One more question, if I may, you know, at your 2023 investor day, you had expected degrees to be a core growth engine for the, for this business. And, you know, we're now looking at declining revenue in 2025. So understand there's some shift in strategic priorities there, but can you just talk us through a bit, what has changed in that business versus, you know, your prior expectations?

Sure, sure. I'd say a lot of it is five years ago, seven years ago, online degrees were pretty novel. And during COVID, when campuses closed, online degrees became largely a necessity in some sort of form. Clearly, the OPM market, the online program managers, the more traditional bundled outsourced sort of online degree programs have have struggled quite a bit. And what we saw and what we kind of outlined on Investor Day was a new type of an online degree that really couples together the open learning that you can do on the courses from our partners that can count as credit towards a college degree. So the model that we see as being attractive and, you know, being used for credit with what we call a degree pathway where you can start learning an open content on Coursera and you can have that credit count as guaranteed credit on admission to a degree program. Now the degree programs, what we had been thinking before is that they would be only the elite universities and the degrees would be fully on Coursera. What we're seeing is a lot of Coursera for Campus customers, once they put Coursera and make it available and integrate it into their curriculum, Suddenly they're like, look, students are already taking open content in my college courses, and they're getting credit towards degrees. We would love to bridge that gap between what's happening on Coursera broadly and attracting students into our degree program. So we see a tighter synergy between Coursera for campus and degree recruitment, and that's where we're putting more of our focus.

Okay. Thank you. Appreciate that, Jeff. Sure.

The next question comes from Rishi Jaluria of RBC Capital Markets. Your line is open.

Oh, wonderful. Thanks so much for taking my question, Jeff. It's been a pleasure working with you since IPO. Wishing you all the best in the next chapter. And Greg, looking forward to working with you. Maybe I want to start for you, Jeff. As we kind of reflect over your seven-year tenure as CEO, you've been through some major, major shifts, right, with kind of the initial onset of the company as you took over as CEO, COVID and the rise of virtual learning and now AI. And from the outside perspective, it seems like virtual learning, while still transformational, has not been quite as widely adopted or transformational, or at the very least, we've snapped back to more traditional ways of learning than we would have expected if we rewound the tape back to you know, late or early 2021, late 2020. And on the AI front, you know, you've given some really encouraging stats in terms of course adoption and users and courses, but maybe the monetization or at least the disruption from AI that necessitates that hasn't been quite as profound as maybe we would have expected when, you know, ChatGPT first came out. Maybe can you walk us through your reflections over the past seven years and through the outcome and just kind of how to think about the timeline of things going forward.

Yeah. Hey, Richie, thank you. I'll make the narrative arc as short, but I'll jump a little bit into this question of generative AI and how that might play out, at least from my perspective. You know, when I first got here back in 2017, a lot of what was driving Coursera's growth, and it really started literally with Andrew and Daphne and literally with the Stanford Machine Learning course that Andrew had done, It was heavily driven in the early days by data scientists wanting to know machine learning. It's not being taught in any educational institution. There were no incumbent credentials. And if you want to learn the skills of machine learning and prove that you knew them, you kind of come to Coursera. That was kind of what you did. That expanded rapidly when Google launched the first IT support certificate. Suddenly, whereas when Andrew launched deep learning in November of 2017... 90% of the learners that came to take deep learning had already taken the machine learning class. It was like a sequel to Android, and it attracted a lot of the same kinds of people, these sort of, I call them like the data scientists, heat seekers, the ones who wanted to build the AI models. But when Google launched IT support, 90% of the people that came for those certificates had never been a Coursera learner before. It attracted a totally different audience. So part of, in the early stages, what was driving our growth was a broadening of appeal, largely because the content was from experts in AI to broader people looking for career advancement. And those professional certificates during that time period where someone without a college degree could get trained in the skills and get a certificate credential from a recognized brand to do either a new career by switching or a new career as a student graduating, man, the entry-level professional certificates really fueled that next level of growth and a broadening of the platform. Now, as it relates to COVID and generative AI, COVID clearly, I mean, it closed almost every campus and every office in the world within the course of 30 to 60 days. Things just went through the roof because the urgency of action and the clarity of action was super clear. Like people had no other choice and it happened immediately. With Genervea, and so we saw the subsequent growth because of that. With Genervea, it's been a little bit different. I mean, the recognition that something big is happening was fairly immediate. Understanding for companies or campuses what to do about it, less immediate. Regulatory uncertainty certainly slowed some things down. And there's also questions like, is this really valuable or is this sort of a gimmick? Or like, what do I do with this stuff? But I would say that the urgency to act was slower. The clarity of strategy and action was fuzzier. Now, what we're starting to see now, and we're seeing it largely because the models keep getting better and there's more evidence that the value is there, we're seeing a lot more interest not in understanding the general nature of generative AI, but productivity gains, productivity gains. To me, what will deliver the urgency of action and the clarity of action will be when companies realize that for certain types of tasks, in certain types of jobs, in certain types of functions, that they can be done much faster and with much higher quality and much lower cost, And to do that, you're going to need to train certain people. I think productivity unlock will be something that improves urgency and clarity and will provide similar kinds of tailwinds to what we saw before, but it has been a little bit slower to get that kind of clarity and urgency and ability to see how much value there is that you can unlock through reskilling. Andrew, I'd love to get some of your thoughts on this too. I mean, from your vantage point, what you're seeing.

As one of our leading learner providers on our platform,

Yeah, thanks. Thanks. Thanks, Jeff. Ken. And thank you, Rishi, for the question. So Rishi, I want to ask you a comment that disruption from AI is not yet as profound as I think the hype had made it out to be. I know a few years ago, there was a lot of hype saying, you know, AI will be smarter than people and it will change everything. And maybe predictably, it takes some time for the amazing technology, which I think it is. to be mapped to concrete applications that then start to deliver value, not just in education, but I was actually just at Davos at the World Economic Forum last week, and there's also the sentiment that, boy, they show us a lot of hype, and finally, across multiple businesses, the actually valuable applications are being built. So in terms of Coursera, I think we have a very strong base on top of which to innovate, to capture, or to invent, or to partner, or whatever, whatever comes next. I do think that there is going to be transformation of learning. A lot of learners are already, you know, asking Coursera Coach or sometimes asking ChatGPT or other large language models for information. I think there is a transformation that maybe is coming. And as Jeff mentioned earlier, Coursera Coach and Course Builder, which were announced, I think, over a year ago, are getting real traction. Coach Dialogue, which was announced more recently, we're seeing, you know, frankly, much earlier signs of hopeful traction there. But it does take some time for these things to get an adoption. And I tell you, I've been meeting our CTO, Mustafa, fairly regularly, and our product team is working very hard to innovate. You've heard about some of the things that were announced. The team is working very hard on the long list of additional things that I find exciting. And in terms of Coursera's base from which we're building on, I think we're starting from a very strong position because I think many learners know us as a quality shop, some high-quality content. We have a very large user base. And our company culture from day one has always put learners first. So our team collectively, up and down the organization, there's very deep learner empathy. And people really wake up in the morning and figure out, all right, how do I serve learners today? And I think that combination of team assets and culture Together with a healthy balance sheet, which also gives us more options, I think puts us in an excellent position to invent or spot what comes next and then quickly use our platform to scale it to a lot of learners. So our team knows that there's work to be done and are busy not just rolling out some of the inventions you've already heard us talk about, but hopefully new things to come as well.

All right, thanks. Really detailed answer in the interest of time. I'll jump back in the queue. Thank you so much.

Thanks, Richie.

The next question comes from Josh Baer with Morgan Stanley. Your line is open.

Great. Thanks for the question. And congrats. And thanks, Jeff. Congrats, Greg. Wanted to dig in on degrees and on the strategy there. And part of this strategy is to focus investments On some other initiatives that are going to drive kind of a faster return to more attractive growth trajectory ahead. The last three quarters degrees has been the fastest growing business so could you talk through that a little bit like it seems like we're kind of taking away focus from what's actually been growing fast, if you could talk about the growth rate of Coursera for campus in 2024. And then I want to just understand, like, what that actually means for degrees. Are you pulling away marketing dollars? Are you not launching any more degrees? Like, how does that growth rate, you know, turn negative looking ahead?

Sure, Josh. This is Ken. So on degrees, one of the important items to consider is the revenue model. So the degrees we sign up for years past really don't get up to – Paul Cecala, Full productivity for the course of a couple years as we fulfill different cohorts and it builds over time. Paul Cecala, And so naturally when you have larger growth that it tails off when things are slowing it takes a little while, so that REV REV REC is part of the answer. Paul Cecala, As with regard to the investments are current investments we continue to invest in degrees and as Jeff mentioned, we do believe there's an excellent opportunity that we're uniquely. Paul Cecala, enabled to provide, but in the near term, especially given the revenue model. In the near term, we are not as focused on that. We'll focus more on enterprise and consumer where there's more near-term opportunity to return to growth. But there will be other ways, we believe, to serve those degrees, customers, essentially, the universities, and C4C is one of them. So I mentioned before, as we look to next year, to 2025, in enterprise, we expect the largest growth in C4C, and that's a reasonable part of it. We're pretty excited that we may or may not have enrollment services we add on top of it. So there's different ways to serve that same need. And it's taken, as you know, some experimentation and the growth hasn't come as much as we'd like. If you go back to the IPO and our thoughts on the degrees business, we expected that to be larger now than it is. That said, overall, we've had outsized growth in enterprise and consumer. So you can never predict too far ahead of time. But we still do believe in that model once again. It's a matter of how that morphs and how we serve that customer and the near-term practicalities of driving growth again. We need to restore growth so that people understand us as they always have as a growth company stock.

And one of the things also that is true, Josh, is that you just cannot look at higher education as a $2 trillion market and say it's not going to have to change in some pretty fundamental way. Certainly one of the ways to do that is by putting Coursera for Campus, you know, our partner's content in as for credit electives. It's a great way to quickly modernize the curriculum. And it's obviously a stone's throw when you're already offering credit for those courses in a real degree program to say, do you want us to help you recruit some other students who aren't currently at your university to do this? So it's conceptually the same in terms of going after the big higher ed market, but we're trying to find a more differentiated and I'd say standardized and scalable model. I think in the past it was sort of, if you're an elite university and you want to put a degree online, just put it on Coursera. It's much more now complementary with Coursera for Campus and recruiting people into these four credit electives that we're going for. We think it's going to have better scale over time.

Thank you. One follow-up, like a lot of this conversation around degrees and different priorities and focuses is around growth. Um, I was hoping you could comment on the, uh, the bottom line. Like I know the way you frame it is, is, um, the segment margins and a hundred percent, but, um, is part of this like now with a commitment to continue expanding EBITDA margins and the cost, uh, savings that, you know, you've recently talked about, like, is, is part of it basically is the degrees business profitable? Like, is that part of the decision to, um, pull back?

Yeah, Josh, and we don't, it's not so much that we measure profitability by the different segments. It's more investment versus growth outlook for the more distant futures, the way we think about it. But it's always a matter of allocating resources in the near term. So that's exactly right. We've pulled back some of the investment there. We're continuing to spend there. But when growth is slower, invest lasts, as is traditional business. And so that's what we're doing in deploying those resources to where we see more opportunity in the near term.

And within the degree portfolio, there are some degrees that have the kind of model, like a standardized model that is integrated with the open content and the credit for open content, where we're like, those are the kinds of programs that are more standardized, scalable, and offer a unique value proposition to the end learner. It's not just an elite degree online. It's, no, you can start in open content and get credit for an online degree. And We're really focusing, you know, within degrees even, on certain programs that exhibit the right kind of characteristics that we think could be more uniformly scaled over a larger base.

So it's finding that model and that rhythm that can scale, which we haven't quite achieved, hence the underperformance on the growth versus where we wanted it to be.

Got it. Thanks.

We will take our final question from the line of Ryan McDonald with Needham. Your line is open.

Hi, thanks for taking my questions, and Jeff, best of luck in the future endeavors, and it was a pleasure working with you. Maybe just to talk about the consumer segment. One of the things, obviously, that we learned in 2024 is that sort of the cadence and timing of content launches and certification rollouts is obviously a driver of segment performance for the year. As we go into 2025, can you just talk about the level of visibility you have in terms of, one, the number of new certification launches expected for 2025, and two, what the timing of those expected rollouts are? And as we think about with generative AI being sort of a high priority in demand, you know, of the new certifications you're expecting to launch, you know, what's the general mix of gen AI-related certifications there? Thanks.

Yeah, maybe Ryan, I'll start off and I'll hand it over to Ken. When we think about 2024 and consumer growth and finishing relatively strong based on what we were expecting at the beginning of the quarter in Q4, clearly it was a year where a few of the larger titles did not perform as well in a region that really matters, which is North America. And as we talked about, I think in Q2, I think there are some macro factors going on and there's a question about the relative demand for entry-level professional certificates in 2024 compared to 2021 or 2022. What we did see in 2024, and really especially in Q4, is that a much broader and more diverse set of titles exhibited much stronger growth, even though in 2023 there was more growth coming from a concentrated region and from a much more narrow set of our overall content base. We did accelerate the content engine. Much of it was Coursera produced and partner branded. That content performed quite well. And as we go into 2025, we think that that broader, more diversified portfolio of content created by this more Gen-AI-powered content engine will provide a more predictable, steady, reliable source of consumer segment growth that will also be more heavily indexed towards international markets. The translations, text translations, and we think the video and audio dubbing is going to only accelerate this, along with geography-specific promotion, geography-specific pricing, geography-specific currency and payments, will really help us open up consumer growth in markets beyond North America where we're seeing some of the headwinds. Ken, anything you'd want to add to that?

I guess it's a little bit of a mix of some of the things we were talking about in the more near term, which was the C-plus month-to-month. We've started to see some stability there, as well as a lot more progress on Coursera Plus subscriptions generally. I guess I'd chip that in. In the near term, we're seeing opportunities there. And I guess I wouldn't hesitate ever to highlight, because it is so important to the business, highlighting the renewal of the agreement we had with our largest industry partner, which has been a big driver of growth and innovation for us over time.

And maybe just to wrap this up, the greatest growth that we've ever seen in consumer was due to COVID. When there are job dislocations, whether there's a lot of jobs being created or a lot of jobs going away, helping people transition into new jobs is a huge driver of consumer sentiment growth. We do anticipate a wave of dislocation of various jobs for various reasons in different time horizons, requiring people to go retool if they want to stay relevant in the labor market. And so we are clearly trying to position ourselves for Gen AI titles. And to your question, Ryan, a lot of the titles that we're going to be producing in 2025 on the heels of a pretty solid 2024 are job specific titles that teach you how to do a job using new gen of AI tools to be more productive and earn a credential that is relevant to employers that says like you are a AI capable person who's going to be a good return on investment for some employer who's going to hire you. We see that world coming and we're going to play to it in 2025.

Super helpful. Maybe just a quick follow-up to that. Given, obviously, the impact on the markets that DeepSeek has had this week, have you seen any impact in terms of demand or interest sort of coming to the website and the platform specifically for sort of DeepSeek-related content? And could that be an unexpected tailwind for 25? Thanks.

Yes. So far, I wouldn't say that we have any signals per se on DeepSeek. But like a lot of people have said, As models become more capable and cheaper, they become more ubiquitous. As they become more ubiquitous, people have to learn how to use them, and they'll be expected to use them. They'll be more productive when they do use them. And so all of the innovation and enhancements to the underlying models, to me, says productivity gains will be higher. It'll be more broad spread and more widely used, and it'll be more impactful when it is, and so people will need to skill themselves up on it. So I'd say that, for me, like anything that advances the return on investment of using a generative AI kind of model is probably going to necessitate a greater clarity and urgency to get people skilled on it. Andrew, anything you'd want to add to that?

Sure. So this is Andrew. You know, DC generates a lot of buzz, as you all saw, and it's I feel like in the AI world there's been a lot of excitement and hype about the AI model or the foundation model layer, which includes the models by the big model trainers sometimes spending hundreds of millions or maybe billions of dollars training them. I think that look in the future, a lot of the value will be created and captured by companies at the application layer that take advantage of these wonderful models that someone else has spent so much money to train. And that we can now access, you know, really inexpensively to build valuable products like Coursera coach or course builder or coach dialogue items and so on. So our engineering team is Frankly, I think very technically savvy and frequently looks at all the leading models out there. And the fact that models like deep seek are released in a very relatively open way open ways in under MIT license. this actually increases the ability of Coursera's team and other teams working on applications to build valuable products. So I think long-term, the fact that the foundation model layer is becoming hyper-competitive, I think is actually good for companies like us.

And Andrew, we hear from our customers often, our Coursera for Business customers, the fact that we have the ability at Coursera to use one model for coach as tutor, a different model for coach dialogues, a different model for course builder. And even within course builder for different features of course builder, we use different fit for purpose models. We are using a wide array of models cost effectively, each for the best purpose. And every time they get better and cheaper, our business improves. So I really think that we're pretty well set up. And Andrew's clearly been a very helpful guide in in architecting the strategy, but I think we're pretty well set up to exploit that kind of competition and innovation that's happening at the foundation layer.

Well said. So really excited about the coming AI technologies that companies like DeepSeq and others may bring, and I think we'll continue to benefit from those innovations to build on top of our own unique education-focused innovations.

Excellent. Appreciate all the color.

Great. Thanks, Ryan. That wraps today's Q&A session. A replay of this webcast will be available shortly on our Investor Relations website. We appreciate you joining us today. Take care.

This concludes today's conference call. You may now disconnect.