Nerdy, Inc. Price & Performance (NRDY)

Not all of the financial measures that we will discuss today are prepared in accordance with GAAP. Please refer to today's shareholder letter for reconciliations of these non GAAP measures. With that, let me turn the call over to Chuck. Thanks, DJ, and thank you to everyone for joining us today. In 2024, we unified our consumer and institutional offerings improved our marketplace technology and enhanced our all access subscription offerings. We had a strong fourth quarter where we delivered both revenue and adjusted EBITDA EBITDA above the high end of guidance and we're entering 2025 with a stronger platform and are innovating at a faster pace. Our vertically integrated quality controlled marketplace manages the entire learning journey vetting, matching, scheduling, adaptive testing, live tutoring and continuous improvement directly on platform. This closed loop system drives quality and retention And in 2025, AI will optimize every step from personalized lessons and practice problems to real time insights live instruction and program reporting. Our goal is to make our learning experience the default choice for both learners and institutions. With over ten million hours of one on one tutoring recorded to date, we're in a position to benefit from AI driven enhancements that will allow us to elevate engagement and drive growth and profitability improvements.

We are introducing several AI powered products to our platform that allow us to better provide learner and expert support throughout the learning journey. First, our new AI session playback tool that leverages generative AI, to turn each tutoring session into actionable insights for learners parents and educators. Our platform now automatically transcribes and summarizes every session highlighting key concepts, and areas of strength or weakness and links directly to the relevant sections of the recorded video. For consumers, these insights help learners track progress, and they give parents a clear view of their investments value. The initial signal is positive with tutoring session usage higher for those exposed to AI session summaries with a 99% positive feedback rate from parents and students. For institutions, teachers gain data driven insights to refine instruction or interventions while administrators benefit from transparent reporting. Real time feedback from these summaries also drives compounding improvements across our vertically integrated platform, allowing us to refine service delivery at a pace not previously possible. As we move throughout the year, we will deepen our AI capabilities for institutions with dynamic exit ticket generation leverage transcripts to generate homework after each session and treat lesson plans in advance of the next one.

We will also add an advanced predictive analytics suite including cohort level analysis and reporting tools aiding district leaders and identifying at risk students and providing them clear visibility into program efficacy. We recently released our next generation AI less plan and practice problem generators to make creating robust customized standards aligned lesson content in seconds These tools are now available for both to teachers and initial signals been positive. This year, we will continue to build AI products for teachers and schools that make access to our platform more compelling and increase the value of the AI and software tools provided on the platform. Many of these tools also drive efficiency and benefit us operationally. For instance, by automating content creation, we're reducing operational costs improving profitability. We recently introduced Tutor Copilot, a product that provides AI driven support that elevates real time instruction, enabling every tutor deliver personalized high quality sessions. It's embedded in our live learning platform and Tutor Copilot offers instructional suggestions it generates lessons, and practice content and it helps deepen student engagement. This product is an example of how we integrate AI into the learning experience in a way that enhances rather than replaces the personal touch that learners value.

By reducing prep time and streamlining lesson planning, it ensures more time is spent on interactive live instruction. Looking ahead to the rest of 2025, we'll continue to enhance our AI driven offerings to continue to refine and elevate the tutor and student experience.

This year, we're planning to upgrade our AI tutor currently available for consumers and then make it available broadly to institutions. This will empower students and on demand support be between live sessions creating a cohesive learning ecosystem across both consumer and institutional audiences. We'll also refine our ex learner matching algorithm incorporating more factors and data for even greater precision and improved match quality and ultimately customer lifetime value. Additionally, we're in the early stages of agentifying processes to increase quality and reduce costs.

If a tutor isn't the right fit after a session, our AI can initiate and complete a replacement within minutes of a session completing minimizing customer frustration and ensuring exceptional experience. Once we perfect Tutor Copilot, we'll adapt those learnings to launch a teacher Copilot for our paid institutional platform further embedding our tools and classrooms. For consumers, we will focus on driving retention and extending lifetime value through a higher quality and more personalized offering building on our strong Q4 momentum. Over the past quarter, it's apparent that our progress on foundational marketplace aspects like vetting, matching and scheduling and more has positioned us to now shift greater focus toward AI driven innovation. These AI products and tools are now advanced enough to drive significant improvements with less effort, while allowing us to compound many small wins across the entire learning journey. Now looking back on 2024, we made significant progress against the three primary themes we laid out last year including scaling the winning product for every learner. Unified our consumer and institutional platforms to deliver a modern intuitive and personal learning experience. This streamlined approach enables faster feature releases complemented by improved onboarding and activation for new learners.

As a result, consumer engagement rose 26% year over year in the fourth quarter and new customer retention improved. Key investments included My Learning Hub and subject portals, which enable easier resource discovery and progress tracking, We streamlined onboarding for a simpler path to getting started with a tutor, and we improved tutor matching to pair learners with the right tutor more effectively. We also emphasized learning memberships that focused on weekly tutoring sessions and that's led to quicker first sessions, more frequent tutoring engagement increased engagement with non tutoring tools, and higher average revenue per member per month. As well as stronger retention. We expect these changes will drive a return to growth, enhance unit economics and support our path to profitability in 2025. Over the past year, we invested in our institutional go to market strategy and platform to scale varsity tutors for schools. And we expanded the number of learners we can impact. We productized and launched access to our platform ultimately introducing offerings to more than 5,000,000 students across 1,100 school districts.

These efforts increased awareness in our company at a larger scale built trust with K-twelve institutions and positioned us as a preferred tutoring partner for districts implementing paid tutoring programs. In the fourth quarter, 43% of paid contracts and 36% of total bookings value came from school district partners who initially partnered with Nerdy Junior via access to our platform and then subsequently converted to our paid offerings. On a go forward basis, we'll be shifting our focus toward paid access to the Varsity Tutors platform for any new customers given the significant AI led product enhancements that are being introduced in 2025. This past year, we made substantial improvements to modernize several components of our marketplace infrastructure including scheduling, invoicing substitution and other logistics capabilities that we believe will allow us to provide a best in class customer experience. These improvements simplified operations reduced tutor and marketplace operations costs and simultaneously improved the customer experience. Believe the recent advances in AI provide us with the opportunity to drive further levels of productivity improvement including through automation of key processes that will allow us to improve both the customer experience and operational consistency while also removing substantial costs.

In fact, we believe headcount peaked during the back to school period in 2024 and we now anticipate that the productivity improvements driven by AI will allow us to scale without hiring in the majority of areas on a go forward basis. In closing, we're energized by the rapid pace of innovation that is positioning us to achieve significant progress towards our vision of AI for HI, artificial intelligence for human interaction. What it can mean for our company. We look forward to providing you with additional updates as we embrace these new AI technologies and fulfill our mission to transform how people learn by meeting the evolving needs of learners in any subject anywhere and at any time. With that, I'll turn the call over to Jason to discuss the financials in more detail. Jason?

Thanks, Chuck, and good afternoon, everyone.

As Chuck mentioned, we made significant progress against the three primary goals we laid out for the year. In the fourth quarter, nerdy delivered revenue of $48,000,000 above our guidance range of $44,000,000 to $47,000,000 which represented a decrease of 13% year over year from $55,100,000 during the same period in 2023. Revenue declined primarily due to lower institutional revenue, coupled with lower ARPU and active members in our consumer business. Consumer learning membership subscription revenue $39,200,000 representing 82% of total company revenue. As of year end, active members in ARPU 37,500 members and $3.00 $2 respectively.

Which resulted in an annualized run rate of approximately $136,000,000 from learning memberships at quarter end. Our institutional business delivered revenue of $6,800,000 and represented 14% of total company revenue. Varsity Tutors for Schools executed 91 contracts yielding $4,600,000 of bookings. During the quarter, we enabled access to the Varsity Tutors platform for an additional 600,000 students bringing the total to 5,000,000 students at over 1,100 school districts as of year end.

And as Chuck mentioned, this strategy to introduce school districts to the platform and ultimately convert them to our fee based offerings produced 43% of paid contracts and 36% of total bookings value in the fourth quarter.

As discussed on our last earnings call, since the start of the fourth quarter, we have moderated our investment in the institutional business to align with a more normalized sales cycle post Esser and given near term funding uncertainties.

We believe a significant opportunity exists in the institutional space and that the product enhancements we are planning to make for the Unified platform will drive growth in future periods simplify operations and positively impact financial results in 2025.

Moving down the P and L, gross profit $31,900,000 in the fourth quarter was lower by 19% year over year. Gross margin was 66.6% in the fourth quarter compared to gross margin of 71.3% during the same period in 2023. The decrease in gross margin was primarily due to lower ARPU, coupled with higher utilization of tutoring sessions across learning memberships in our consumer business. We also implemented new expert incentives during the fourth quarter that we believe will drive further engagement with our platform customer retention improvements. Essentially for each consecutive session with a learner, experts receive an extra $1 per session up to $40 per session. This change is already leading to improvements in time to first session, the number of sessions in the first thirty days, a reduction in tutor replacement rates and improvements to retention. Sales and marketing expenses for the quarter on a GAAP basis were $18,400,000 a decrease of $400,000 from $18,800,000 in the same period Non GAAP sales and marketing expenses excluding non cash stock based compensation were $17,800,000 compared to $18,200,000 in the same period in 2023. The decrease in sales and marketing expenses was primarily driven by consumer marketing efficiency gains where we saw customer acquisition costs decreased by $1,600,000 or 10% year over year in the fourth quarter. [indiscernible] General and administrative expenses for the quarter on a GAAP basis were $29,900,000 a decrease of $800,000 from $30,700,000 in the same period last year.

Non GAAP G and A excluding non cash stock based compensation expenses was $21,600,000 compared to $19,800,000 in the same period in 2023. Included in G and A costs were product development costs $10,400,000 We believe our investments in product development and our platform oriented approach [indiscernible] have allowed us to launch continuously improve our suite of subscription products. Simplify operations, and enhance our unified platform. As Chuck mentioned, we believe that recent advances in AI provide us with the opportunity to drive further levels of productivity improvement Through the execution of several internal AI enabled productivity initiatives, we have been able to reduce corporate headcount by approximately 15% The total annualized cash savings from these initiatives is approximately $6,000,000 We look forward to providing you with additional updates on our progress to increase [indiscernible] as we embrace these new technologies and streamline operations. Non GAAP adjusted EBITDA loss of $5,500,000 for the three months ended 12/31/2024 Nerdy, above our guidance of negative $7,000,000 to negative $10,000,000 and compared to positive non GAAP adjusted EBITDA of $3,000,000 the same period during 2023.

Non GAAP adjusted EBITDA improvements relative to guidance were primarily driven by higher revenues coupled with benefits from AI enabled efficiency and operating leverage improvements. Partially offset by lower gross margin due to higher utilization across learning memberships our consumer business. Compared to last year, the non GAAP adjusted EBITDA loss was lower primarily due to lower revenues, with investments in the Varsity Tutors for Schools sales organization, product development to drive innovation and support our growth. As of twelvethirty one, company's principal sources of liquidity were cash and cash equivalents of $52,500,000 we have zero debt.

We believe our strong balance sheet provides us with ample liquidity to operate against our plan and pursue growth initiatives. Turning to our business outlook. We are providing first quarter and full year revenue and adjusted EBITDA guidance for 2025. For the first quarter, we expect consumer revenues will be positively impacted improvements in ARPU due to the mix shift towards higher frequency learning numberships, We also expect improvements to the user experience including our earlier mentioned AI products, and the implementation of new expert incentives, For the full year, we expect a return to growth in consumer revenues as the faster pace of product innovation and operational improvement initiatives leading to accelerating consumer revenue growth each quarter as we move throughout 2025. Institutional revenue reflects the flow through of lower 2024 bookings into the first half of twenty twenty five, coupled with a cautious government funding environment. For the first quarter of twenty twenty five, we expect revenue in the range of $45,000,000 to $47,000,000 For the full year, we expect revenue in a range of $190,000,000 to 200,000,000 Turning to adjusted EBITDA guidance. For the first quarter, we expect recent expert incentives coupled with higher utilization in both our consumer and institutional businesses result in lower gross margin.

As we move throughout the year, we expect price increases for new consumer customers enacted during the first quarter, we yield sequential quarterly improvements to gross margin. Full year adjusted EBITDA improvements reflect a return to consumer revenue growth coupled with benefits from AI enabled productivity and operating leverage improvements, partially offset by these tutor incentives.

For the first quarter of twenty twenty five, we expect adjusted EBITDA in a range of negative $6,000,000 to negative $8,000,000 And for the full year, we expect adjusted EBITDA in a range of negative million dollars negative $18,000,000 We also expect to be adjusted EBITDA and cash flow positive in the fourth quarter of twenty five. This would result us ending the year with no debt and cash in the range of $35,000,000 to $40,000,000 which we believe provides us with ample liquidity to fund the business and pursue growth initiatives. In closing, you again for your time. For your continued interest in our company.

With that, I'll turn it over to the operator for Q and A. Our first question is from Andrew Boone with Citizens JMP. Line is now open. Hi. This is Brianna on for Andrew. As we look towards the guide, can you help us bridge the assumptions on the active learning numbers and ARPU for 1Q? And just help us parse through the dynamic there.

And then when looking towards the full year revenue guide based on 1Q, this implies an acceleration throughout the year.

You help us understand the visibility into the full year and confidence on that outlook And then, second question, just what drove the price pricing decision for new customers in 1Q. And how should we think about pricing potentially weighing in on number growth for 2025?

Absolutely.

Okay. This is Chuck. I'll try to answer all of this.

So we feel really good about Q4. We beat our own expectations by a significant amount on both revenue and EBITDA. We also made good progress on a number of important initiatives related to strengthening the underlying marketplace infrastructure. That allows for us to be more efficient and deliver higher quality services consistent we felt like the underlying foundation was strengthened and we can start being a little bit more offensive as it relates to some of the product innovations that we're shipping.

So couple of the things that were particularly exciting about the quarter was a lot of the work that we talked about last time on consumer product and activation, started pulling through to higher retention and we saw that elevate both sequentially and year over year throughout the quarter and strengthen. And so we launched tutor incentives which was something that historically we have really not optimized very much.

And we saw significant changes in behavior that we got really excited about. So tutors taking, call it, more than three times as much work when they join the platform and then also driving significant utilization that we know pulls through to retention. So entering the start to the year, we saw higher we decided to roll this out broadly given the really, really positive engagement it was driving. And then how that ultimately pulls through to retention and to start the year we've seen retention continue to [indiscernible] year over year is something we're really excited about. So that has an impact on gross margin in Q1 but ultimately, we think pace for itself a few months out with the kind of crossover line of contribution profit per customer. Being something that as a result of being able to enlist and motivate the tutors on the platform to drive retention we're pretty excited about how that can ultimately pull through. So we feel like the guide is appropriate and we haven't baked in all that much elevated [indiscernible] but the trends continue to improve in a really feel good about kind of the start of the year where this could go as we continue to test.

So separately, we increased prices about 20% in totality, which we thought was appropriate given some of the value that we've been adding to the platform, the way that we've enhanced it including but not limited to both the tutor incentives, [indiscernible] the quality improvements that we've made in the underlying marketplace infrastructure, we're matching customers on average to a much higher quality and better match for them as well as then some of the ongoing product and personalization capabilities that we've rolled out, like the Gen AI summarization like the other content and tools like Tutor Copilot There's investments that we made behind them and they're providing real value and the customers are indicating that they actually value these. And so we think that the pricing increase are appropriate and warranted and feel good about those And then so as we move throughout the year, you're basically blending into on average a higher ARPU base throughout the year. And that kind of combined with [indiscernible] We think are good customer acquisition trends positive in February, on acquired revenue, for instance, combined with that elevated retention, those are things that we feel good about as we move throughout the year and what drives that acceleration.

Super helpful. Thank you so much.

Our next question is from Ross Sandler with Barclays. Your line is now open. Hey, guys. It's Rod Sandler on for Rod Sandler.

Chuck, how is the new AI products impacting retention in the consumer business? Second one is sort of a follow-up, but Jason or Chuck, either one.

Could you just explain the gross margin and the higher utilization [indiscernible] that happened in the fourth quarter. And it sounds like that's going to improve across the next few quarters. Could you just kind of explain what's going on and then why it's improving? Thank you.

Sure.

So there's a couple of different ways. So it allows for us to better assess quality improve match quality, we know those things both pull through to better retention [indiscernible] features that more directly impact a day to day customer experience like the tutor copilot. So tutors are able to show up to sessions and be more prepared in general, same with lesson plan generation and tools. Those are all things that allow for on average these sessions to be more productive, more personalized, more relevant, and also for experts themselves that have higher effective hourly pay because they spend less time prepping, but are able to actually deliver higher quality live lessons And take that and you combine it with some of the features like Gen AI summarization that actually allow for parents to see the value in particular of their kids lessons and very, very quickly and say a sixty to ninety minute lesson instead of having to watch the whole thing, which can be tedious, immediately see the value and better understand what's been accomplished. [indiscernible] that's something where the engagement is really high. It's pulling through to customers, making it farther along in their journey from the first week to the second week the third week, to the fourth week, and the fifth week and so on.

And so that's something where we're really excited about how [indiscernible] [indiscernible] product that we launched as well as subsequent improvements we'll be able to make that can get really, really cool. In terms of being able to see some of the insights that come with it those are things that are just allowing us for allowing us to communicate and demonstrate the outcomes and value that much more efficiently to consumers. Also able to watch it and jump to the right spot more efficiently. There's a whole host of different ways [indiscernible] we think that particular product can be really, really compelling. But the whole idea is that it's less work, you get more value, [indiscernible] and we kind of remove friction at every point in a way that really delights people. Yes.

And then I'll speak to the gross margin and the utilization. I guess I'd to start by saying we love seeing higher utilization in the platform. Higher levels of activation, higher levels of first time to first session, number of sessions in month one and month two, across new customer cohorts based on all the UX work we did over the course of the last two quarters is really starting to pull through. We always have seen historically that higher levels of engagement and utilization drive higher levels retention and we're seeing that. We noted it in the letter and on the call it's up 26%. That does impact gross margins, although we think it benefits contribution profit dollars over the long run because customers will stay with us for a longer period of time. Having a great experience of the platform. The other thing on gross margin is, the tutor incentives that we are investing in are across all customers. And so there's a significant impact in the first quarter to that gross margin. But as the new prices take hold for new customers, and blend in over the course of the year, You'll see sequential improvements in gross margin as we move across the year.

So I've got gross margin of 60% in Q1, 64% in Q2.

In the back half, we're in the 66% range.

Those price improvements pull through, And just from a funnel metrics perspective, we feel good about those price improvements that we've incorporated this past month in February, ARPUs over $400 [indiscernible] think that the consumer customer remains healthy. Next question is from Brian Smollett with JPMorgan.

Your line is now open.

Hi. This is Niraj on for Brian. Just wanted to understand on VTS, are you starting to see returns from the localization of the sales force? And more broadly, can you give us an update on the competitive landscape?

Would you mind repeating your question, please?

Yes. So on Varsity tutors, are you starting to see returns from the localization of the sales force? And more broadly, can you give us an update on the competitive I've just Certainly.

So So one of the things that we've done over the course of the past year is build out our all access product so that we can actually offer subscription offerings [indiscernible] allow for us to make available a whole host of different solutions products to schools that in large part we built first for our consumer business, but have broad applicability within VT4S. And so one of the things that we've done is now take recently a number of these different Gen AI capabilities and include them an offering that will now be paid subscription offering that we will be selling into school districts and available for many of the thousand school districts that signed up for the free offering a year ago as well as any net new customers that being kind of the default product that they're opted into with the ability to pair that with high dosage tutoring offerings. We think it's really compelling and particularly as you think about the insights components, that ability to look at it over cohorts of students, be able to get predictive insights into when intervention is appropriate, is something that we think is going to be really, really compelling.

So kind of given some of the uncertainty surrounding government funding right now, one of the things that we did throughout Q4 and Q1 was reduce that go to market team function to kind of right size for the near term uncertainty which we think is appropriate is reflected in the guide, And we're going to let the product enhancements that have recently rolled out will continue to roll out drive a lot of that growth. We think the product is about to get way more compelling and already has. And it puts us in a position where we have a highly differentiated next generation AI enhanced tutoring platform and intervention platform that school districts will find really compelling and some of the initial signals quite positive. [indiscernible] the competition has been there were a number of competitors that went under or reduced size in Q4 and many of these were in the kind of chat based tutoring rolled out in live like we do. But we think we're in a position to be a great partner for school districts over time. [indiscernible] that the enhancements of the platform many of which we're building for consumer and that are extensible to institutional are going to be really, really compelling.

So taken a conservative stance in the cost structure given some of the uncertainty but we think that we've preserved the innovation capacity [indiscernible] Ken, as some of these product enhancements hit, it acts like a very compelling upside potential So we're excited about that.

Got it. Thank you. We have a question from Jason Tilton with Canaccord Genuity. Your line is now open.

Afternoon. Thanks for taking the question.

Following up on one of the earlier questions, it sounds like the early signs from these new are really encouraging. I'm wondering how much of a benefit have you contemplated from these tools within your fiscal twenty twenty five outlook both on the revenue side and on the On the expense side, we're kind of fully reflecting costs in our plan that we would expect to incur We're also expecting and including in the plan heavy levels of utilization just to be as it relates to gross margin. [indiscernible] we think that we've taken live of sight forecast on the retention side that we feel good about But there's the potential to outperform as some of those product enhancements hit and we're excited about the extent to which they're resonating. So So we are not in the plan baking on a lot of upside and are encouraged to start the year with the fact that retention is up quite a bit year over year and improving but there's a potential that should we continue to execute that that could exceed and be a good guy.

The only thing I'd add is a lot of the costs associated with AI internally will drive substantial customer [indiscernible] and process automation which we think will be self funding over the course of the year.

You very much.

We have a question from Alex Sklar with Raymond James. Your line is now open.

Hi, Jessica on for Alex. So kind of follow-up on these questions and it's really exciting hearing about all the AI initiatives you guys As you're thinking about your growth expectations, what would you rank kind of as the key drivers for returning to growth? Or just like executing with customers, are you thinking it's like the increasing ARPU talked about? Or do you think it's your increasing asset members or just what factors how you would you arrange them, how you see that shaking out with the growth expectations?

Yes. So we feel good about the kind of top of funnel trends and the fact that we're heading in the right direction. Our products and conversion related metrics are improving and that looks healthy and improving the [indiscernible] retention in relative terms is a bigger driver because it's up and accelerating more year over year and that combined with higher prices, higher ARPU, then blends up over time. So you have higher paying customers who are getting better retained over time which drives the return to growth. [indiscernible] feel good about that dynamic and then the relationship between the product enhancements and the continued work that we're doing and that then pulling through to retention and growth.

And then Jessica, just to add to that, those drivers Chuck mentioned retention, acquisition funnel metrics, those all continue to expand in the guide as we move throughout the year. And so sequentially within the consumer business, you'll see continued growth each quarter as we move throughout the year. Also takes into account the seasonality of our business And then on the institutional side, we had lower bookings in the second half of 2024, which we talked about on the last call during the back to school season, that will carry into the first half of the year where we'll also be negative on the institutional side. And then as we move into the back to school period that business will return to growth.

Got it. Super helpful. Really quick follow-up as well. When you say your headcount had peaked during the back school period in 2024 and your seeing AI productivity. Are you planning on just like keeping a stable headcount going forward Or are you just laying natural attrition, to steward what you still get, especially from AI?

Probably the latter. I mean, we're seeing meaning improvements in team productivity. And across most teams, we wouldn't expect to backfill natural attrition and we've set expectations there internally and we feel like it's appropriate and healthy and We're giving our teams the tools and capabilities they need to be super productive and We feel good about that kind of general trend and as folks attrit out of the organization and we think we'll just get progressively more efficient throughout the course of the year on both the variable and fixed side.

Yes, I think it's important to note like we'll be able to continue to scale without commensurate levels of new variable headcount.

On a go forward basis And then maybe just to touch on the fixed headcount change that we made completed.

We've preserved all of our innovation capacity. And we feel really good about the go forward team we move throughout 2025.

Got it. Thanks a lot.

You're welcome.

Our next question is from Yifu Li with Cantor Fitzgerald.

Line is now open. Thank you for taking my question and congrats on the stabilizing finish to 2024. So my first question is multipart. It's in regards to AI driven products, whether it be summary insights lesson plans or copilot? I was wondering if Chuck or Jason, if you could comment on how do you balance between like the human interaction side versus using too much automation to drive out the human aspect of it? And then can you comment on the back end tech build this? What is the technology back end do you use to build this And lastly for this particular question is the go to market. Do you intend to like invest more to train folks to I guess, sell these new products? And then I have one more Jason on the financial side.

Sure. So we've The concept of giving superpowers to both experts and lawyers in a way that actually enhances the experience. So our guiding North Star here Is that product enhancements, whether it be AI or something else Nerdy to add value to the experience, in many cases, we're able to better personalize the experience, You're getting hyper customized content and recommendations. It's removing friction. And you're getting a more relevant tutor paired with you we're able to identify and vet in a scalable way increasingly higher quality tutors were able to serve up hyper personalized lesson plans based upon what you actually studied and met with on the previous time that removes friction and increases the tutor's effective hourly rate [indiscernible] reduces time spent prepping or creating problems in sessions so that the actual like instructional time goes off. So we think like these are all collectively positive and significant enhancements where you're not trading off one for the other, multiplicative And that we're able to allow for humans to do what humans do best [indiscernible] technology and AI surrounding them, There's more than ten million hours of live tutoring that have happened on our platform. And unlike a lot of other marketplaces out there, the entire experience happens on platform in that actual session.

And so we're able to use our learnings from that to then personalize the [indiscernible] Leverage custom LOMs that allow for us to get kind of incremental personalization and recommendations in ways that are highly additive and we think that that vertical integration of the marketplace is really unique [indiscernible] we're responsible for guaranteeing quality, but then benefit from the lifetime value And that's a dynamic that we think is really powerful and it sets compound in the months and years ahead, basically improve every step of that kind of customer journey, and optimize it. We think that can really sync and all those kind of 5%, 10%, 20% little improvements in different steps add up to something that can be really, really meaningful [indiscernible] the hit rate is such like there's a lot of work that you asked about infrastructure that's put in place We first started using machine learning for matching algorithms back in 2017 and put in place a lot of the underlying infrastructure for both the data engineering side and warehousing as well as then how we ultimately train models and we're in a position where we can run quickly to take advantage of some of the latest technologies.

So there's a whole host of different technologies that we use. But that kind of underlying data infrastructure allows for us to personalize efficiently and move quickly. And we feel like we're now about to hit our groove in that regard. The only thing I'd add to that from a go to market the only thing to you that I'd add to that from a go to market perspective is these AI tools support not only students and experts, but they also support teachers and administrators at schools So we're covering off like the entire which we think helps drive that go to market motion across both the consumer base and the institutional base One thing that we are going to do as we move into 2025 as it relates to platform access, we will have a paid tier because of all the advancements we'll have within AI as it relates to the institutional space. So that will be new, but otherwise We think that it just overall enhances the value proposition that we can provide to all of our customers on the one side of the marketplace and then experts certainly on the other side. Yes. And you asked about training on the institutional side for our sales organization.

Certainly some is required. I don't want to trivialize that, but many of these are very intuitive customer facing tools where the value that they provide is easily understood. So the summarization, the insights, you can actually see the session, you can read it, you understand intuitively what's happening. How it's produced on the back end, frankly doesn't really matter from the customer's perspective, but they're able to experience these products and immediately see the value we are hopeful will make them far more sellable sooner. Okay.

And then Jason, just on the follow-up, thanks for the question. Alliums Yes.

Sure. Yes. We're excited about how this can enhance feature productivity, allow for us to better communicate program efficacy for schools, and generally just provide way more robust reporting and value and build deeper relationships with districts. And one of the great things is we had to build many of these tools for our consumer business First, we're now able to then leverage them in the institutional business. So we'll build it means real quickly.

Make sure you're clear. So it's more like internal organic. You guys build this right Before the OpenAI craze, so it's more internal. Got it. And then Jason, in terms of the financial model, I want to ask a question. You guys gave a lot of commentary on the outlook on the prepared remarks. I was wondering if you could give us a little bit more guidance on the split between institution and consumer. We just want to get the model right in terms of seasonality. Sounds like consumer is going to grow a little bit for the twenty twenty five quarter over quarter. But it sounds like from your commentary that the institutional side it's going to be a little pressure. We just want to know the split, that's what we could model properly. And also, Jason, you also mentioned that obviously using AI, you guys get more operating leverage, right? Was wondering, I know it's too Nerdy, You already got to EBITDA negative for this year. I was wondering when will this AI help you achieve that to breakeven? [indiscernible] Yes, good questions. Thanks, Yi.

On the mix shift between institutional and consumer we would expect institutional to be about 15% this year.

Of the total in that business given the uncertainty of government funding that exists in the market today We have that business largely flat from a bookings perspective year over year, then when you think about GAAP revenue and how that flows through mentioned this a little bit earlier on the call. The first half will be down and then you'll start to see some sequential improvement as we move into the back to school period. And then maybe just shifting to AI and profitability. I think you see it in the fixed headcount side where we don't feel like we need to backfill roles as attrition will have very limited open new roles in the company. And all of our engineers as an example, one of them told me the other day, a project that would generally take him sixty hours, actually took him only six hours.

So So the level of improvements in productivity, whether it's depending on which LLM they're using is substantial. And those just accrue to the company's benefit from a profitability perspective. There are no further questions in the queue. So this will conclude today's call.