Q1 Nerdy Inc Earnings Call

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Excuse me, ladies and gentlemen, thank you for your patience the call will begin shortly.

Again, the call will begin shortly.

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Good afternoon.

Thank you for attending the nerdy first quarter 20 twenty-three earnings call.

My name is Alyssa and I will be your moderator for today's call.

All lines will be muted during the presentation portion of the call with an opportunity for questions and answers at the end if.

If you would like to ask a question. Please press star one on your telephone keypad.

I would now like to pass the conference over to your host Chuck cone with nerdy.

Mr. Cohn you May proceed.

Good afternoon, and thank you for joining us for nerdy first quarter of 2023 earnings call with me or Chuck Cohn, founder Chairman and Chief Executive Officer of Nerdy, and Jason Pelo, Chief Financial Officer.

Before I turn the call over to check I'll remind everyone that this discussion will contain forward looking statements, including but not limited to expectations with respect to nearly as future financial and operating results.

<unk> opportunities plans and outlook.

These forward looking statements involve significant risks and uncertainty that could cause the actual results to differ materially from expected results.

Forward looking statements are made as of today's date.

He does not undertake or accept any obligation to publicly release any updates and revisions to any forward looking statements.

Any change in expectations or any change in events conditions or circumstances on which any such statement is based.

Please refer to the disclaimers and today's shareholder letter announcing dirty first quarter results.

The company's filings with the SEC for a discussion of the risks.

Not all of the financial measures that we will discuss today are prepared in accordance with cat. Please refer to today's shareholder letter for reconciliation of these non-GAAP measures with that let me turn the call over to Chuck Chuck.

Thanks, TJ and thank you to everyone who has joined us today.

One year ago, we unveiled an ambitious plan to evolve our products and revenue model toward longterm recurring always on relationships with our customers.

We created new subscription and recurring revenue products, including learning memberships for consumers and teachers signed an odd demand products for institutional customers that were built specifically to address the ongoing support we believe both types of customers needed and desired.

We sure do we believe these new models would provide a superior platform for innovation by allowing us to bring together multiple different product capabilities. We had developed into a comprehensive all access offering that enabled learners to receive the help they need across multiple learning formats thousands of subjects.

At multiple academic calendar years.

In addition to allowing us to provide a better and more personalized experience the learners.

The new operating model would be far more efficient to operate allowing us to drive operating leverage simplify our sales model and shift additional resources towards net new innovation, including the application of AI for HIV or artificial intelligence for human interaction.

To get to this evolve state we shared that this new model would require trading off revenue recognition in the short term because our package model at a more frontloaded revenue recognition than learning membership model, where subscription revenue is recognized linearly overtime.

We expected that by the start of the second quarter of 2023, the cumulative build a recurring revenue from learning membership customers would cause us to return to growth in our consumer business as well as for the total company, but now with a product suite and revenue model, we believed would position us for higher levels of growth.

Profitability and predictability in the years to come.

We stated that we expected our new business model to deliver substantial operating efficiencies and that we anticipated achieving adjusted EBITDA profitability by the end of 2023.

I am pleased to share that in the first quarter, we exited the J curve business model transition to subscriptions and return the year over year growth delivering $49.2 million of revenue, which was above our guidance range of $45 million to $47 million.

Learning membership subscriptions accounted for 60% of total company recognized revenue up from nearly zero percent in the first quarter last year, demonstrating strong product market fit.

On the institutional side of the business, we delivered record revenue of $8 $5 million, an increase of 32% year over year, representing 17% of total recognized revenue in the first quarter.

In combination our consumers subscription and institutionally contracted revenue accounted for 77% of total company revenue recognized in the quarter.

Dramatic increase over the past year, which we believe speaks to the power of our platform oriented approach to growth and how we can efficiently go to market with all access solutions that could provide more value to customers.

The rapid business model evolution, alerting memberships and recurring revenue and our continued application of AI to the customer experience and operational processes drove continued growth and improvement in customer a lifetime value relative to our package model as well as operating efficiency improvements.

Together they were key contributors to our strong operating results and improved profitability.

We are pleased to share that we achieved adjusted EBITDA profitability of the first quarter.

Nine months earlier that our target in the fourth quarter of 2023, delivering nearly 1700 basis points of improvement year over year and $1.4 million of adjusted EBITDA.

The improvement and adjusted EBITDA represents an annualized improvement of approximately $32 million.

We also realized $6.8 million, a positive operating cash flow and $5.8 million a free cash flow in the quarter.

I'm pleased to share that we've made substantial progress on accelerating the use of generative AI throughout our business, including launching two new customer facing products as well as accelerating the use of AI and machine learning to drive substantial operating efficiencies and internal productivity improvements.

As we shared with you in our perspective two years ago. When we made our intention to become a publicly listed company known we've long believes that AI can fundamentally transform how people learn.

We've been applying AI to our business products and operational processes for over six years, and AI has been foundational to our ability to improve quality enhanced personalization and decrease the cost of our offerings.

AI powers, our ability to identify the highest quality experts assess learners foundational knowledge help ensure the right expert Werner match and drive operational efficiency among many other use cases.

And our perspective, we also described the proprietary technology infrastructure, we're building as AI for HIV or artificial intelligence for human interaction and outlined the core foundational capabilities, we apply to live learning to enhance the interaction in ways that were not previously possible.

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Through the application of AI, we aim to provide experts and learners with superpowers that transform live online learning.

We credit or orientation around AI for HIV for allowing us to reach the milestone of having recently delivered our 10 Billionths hour of live one on one tutoring on our lives learning platform and more broadly for allowing us to make good on delivering high quality relationship based.

Live online learning available at scale.

We've used this data in the inside three Gardner from having instrumented every part of the learning journey to drive real world practical value in our business.

We credit AI for enhancing our customer lifetime values, helping us identify what each student does or doesn't know about a particular subject when to reach out to a customer to drive engagement retention and how to make operational processes far more efficient.

We believe we stand to benefit tremendously from the latest advancements in generative AI and further drive revenue growth and cost reduction through its application.

What has been maybe most exciting seeing what our internal teams have been able to accomplish over the last 90 days and the overall peace of innovation internally.

As an internal access to generative AI tools has expanded we're seeing it enhance our teams quality of work the speed. It takes to complete said work and open up new possibilities for products and process improvement in a way that previously would not have been feasible or that would have been cost prohibitive ills.

Illustrate the speed of innovation I'll cover some of the progress we've made leveraging AI and just the last quarter.

We've continued to improve our expert Werner matching algorithms as a reminder, we first started applying machine learning matching algorithm six plus years ago to begin to detect patterns that no human possibly could to better inform the match between a learner and an expert in with thousands of experts available for a given learner taken a tech.

Allergy first approached programmatically identifying patterns that were predictive of better learning experiences and outcomes as proven highly effective.

Today, we simultaneously task competing machine learning algorithms until one is named the statistical Victor and flipped to 100 per cent of the volume for a given segment and then the process repeats.

And as we capture and better leverage data to inform the learner expert match.

How old are you that match will continue to improve for both learners and experts internal leading to a far better learning experience ultimately driving better customer satisfaction, better learner outcomes and ultimately higher customer lifetime value.

In the first quarter, we also further expanded learning formats and content.

Our growth flywheel, which we first shared publicly in January of 2021 reflects additional learning formats beyond one to one as a key contributor to what attracts new learners to the platform.

These additional learning formats combine with relevant content to the subject being learned create personalised learning experience that drive engagement and retention of learners on the platform.

During the first quarter, we leveraged generative AI launched two previously announced product AI enabled chat tutoring and AI lesson plant generator, both of which we believe will be further accelerates to our growth flywheel Ado.

Additionally, we have steadily enhanced the availability of asynchronous content on the platform and areas like self study in computer adaptive diagnostic testing, which is driven higher level of engagement in customer satisfaction.

However, due to the unlimited possibilities of subject and age complexity and the nuances between school curriculums. It just wasn't feasible nor possible to have rich levels of content in every single subject that someone could conceivably want to learn on the platform.

Thanks to advances in generative AI that has now changed we stand to be a huge beneficiaries being able to infuse high quality hyper personalized content that has historically been expensive and time consuming to develop into every learning experience.

We believe this hyper personalization will allow us to further meet the needs of our learners on a recurring basis overtime.

We're also seeing significant improvements to productivity and operating efficiency through the application of generative at.

Today, approximately 30% of our software code is being written by AI.

All of our employees have access to inline generative capabilities like G. B D. Four and are encouraged and expected to use it in their work and.

And we're now using generative at more efficiently solve customer support interactions and automate operational processes, including now broadly leveraging AI powered support.

Across burner facing expert facing and even internally facing interactions and we expect to see further wins on driving both conversion and retention as well as improvements in operational efficiency. As a result of continued investments in generative AI across the business.

Let's move on to learning memberships, which are scaling ahead of expectations.

We continue to see substantial evidence that validates our belief that the learning membership model leads to more attractive unit level economics longer duration and higher lifetime valued customer relationships higher gross margin and a more scalable and efficient operating model.

We are also able to provide an improved and more comprehensive learning experience for learners.

And more consistent earning potential for experts.

We remain convinced that this all access always on business model serves as a better platform for innovation and growth. It allows us to better capture and then apply our proprietary data across product interactions overtime to drive deeper personalization for learners across many different learning format.

Subjects.

And we're able to easily incorporate new products that add more value to the learning membership experience over time.

Where does have a better experience on the platform engage more frequently and for longer periods of time and were alternately rewarded in the form of higher customer lifetime values.

Learning membership revenue continue to grow at a rapid pace during the first quarter and reached an annualized run rate of approximately $143 million as of March 31, an increase from $87 million as of year end and nearly $0 in the first quarter of 2022 <unk>.

Active members grew to nearly 33000 as of March 31 up from approximately 20000 as of year end.

During the first quarter, we expanded learning memberships to new customer audiences by fully transitioning all purchases by existing package customers in the learning memberships as well as moving all of our new test prep audience customers into learning membership.

As we look ahead, we plan to transition the professional audience to learning memberships by the end of the year, which would represent a transition to 100% of new customers to our consumer business to always on recurring revenue products.

This past quarter, we introduced month to month learning membership, which are driving higher levels of conversion by alleviating friction in the member experience, while increasing the average monthly subscription fee and accelerating that marketing payback period.

We also enhanced the value provided and learning memberships by providing unlimited access to two new products.

R E I enabled chat tutoring enables learners receive help from an AI tutor and also involve a live human tutor with a click of a button.

After piloting this capability in early Q1, and receiving positive feedback and engagement data. We recently expanded access to all learners on the platform.

The primary use case, so far involves quick Q&A and homework help in between live recurring one on one tutoring sessions.

It's a good example of how generative AI has enhanced our ability to build a product in this case, one encompassing Q&A and homework help that historically would have required substantial investments in content, but now can be done for effectively no cost and served up to the customer in line at the right moment in the learning jerk.

Any to keep them learning efficiently and effectively.

The second product we added the learning memberships was our AIG lesson plan generator, we went from idea to minimum viable product to a fully built and value added capability deployed across our entire platform and available to all experts as of late April .

With this product we use generative AIG pre generate lesson plans, including practice problems in other curriculum content in advance of tutoring sessions. The lesson plan generators embedded in the user interface as a dynamic and editable pain that is ever present during live tutoring sessions.

We consider the ability to create hyper relevant hyper personalized content spanning any subject any age level that is personalized for the unique needs of the specific learner to be an example of the sort of superpower. We have made available to experts and learners that previously would have either been impossible.

Will cost prohibitive.

With the addition of these new products, we continue to grow the percentage of alerting membership customers engaging in a non tutoring format. During the first quarter to over 27% the highest of any quarter yet multi format engagement has historically been highly correlated the lifetime value extension.

Looking ahead, we're working to make it easier for worse to more fully engage with their learning membership by improving discovery and then all new member portal.

This will include Personalised AI generated learning recommendations that predict and suggest the next product interaction across learning formats and subjects that is most likely to drive engagement and customer value.

As we headed into the slower summer months, we've created compelling content for learning members to keep learning over the summer through increased engagement with academic college prep and enrichment subjects.

Turning our attention to our institutional business, a varsity tutors for schools enhancements to our product suite of hydro tutoring teacher, aside and on demand coupled with prior investments in varsity tutors for schools sales and go to market resulted in record institutional revenue of $8 $5 million in the.

First quarter, an increase of 32% year over year, and representing 17% of total revenue in the first quarter.

Varsity tutors for schools executed a record 97 contracts totaling $6.3 million a booking served in the first quarter.

Varsity theaters for schools engagement trends, including our new teacher assigned products significantly exceeded our expectations and provide us with confidence that the solutions. We have built have strong product market fit and are well suited for meeting the needs of school district partners teachers and students in helping students learn in an unprecedented scale.

Teachers sign continues to deliver against our vision for delivering Personalised live learning at district wide scale, while providing unparalleled supported an agency for educators.

These high level of engagement are occurring across a wide variety of grade level of the subjects and teacher feedback has been enthusiastic that they love it.

In particular teacher teacher signed as a co teacher in the classroom empowering them to help more students.

Each features unique insights of individual students, including that students understanding of the classroom curriculum are incorporated into the tutoring sessions.

The strong results and continued momentum to start the year give us increased confidence that varsity tutors for schools as well positioned to provide solutions that administrators teachers and students are seeking the sport they're evolving needs.

In closing five human instruction that inspires and motivates when coupled with AI as enhancing the state of learning.

Recent advances in generative AI the ability to deliver Personalised alive instruction App scale for all students is within reach.

We're proud of our progress to date growing are learning membership count to 33000 active members however, with more than 50 million students in the United States alone. We're just getting started.

We look forward to remaining at the forefront of product innovation.

And enhancing our ability to meet the needs of both consumer and institutional learners.

With that I'll hand, the call over to Jason to discuss the financials in more detail Jason.

Thanks, Chuck and good afternoon, everyone.

We used to be speaking with you today about another strong order for <unk> we.

We previously shared that we expected our evolution toward learning memberships would lead to longer duration and hired lifetime valued customer relationships enhanced gross margin provide for more attractive unit level economics, and drive higher levels of growth and profitability.

I'm pleased to report that during the first quarter.

Seems hard work on the evolution to recurring revenue offerings pulled through delivery to return to growth and positive adjusted EBITDA of $1.4 million, nearly 1700 basis point improvement year over year and more than nine months ahead of our standard target.

Looking ahead, we expect to yield additional efficiency improvement through scaling learning memberships driving additional automation and self service features and the continued application of AI throughout our business.

Starting to Q1 results in.

In the first quarter, we delivered revenue of $49 $2 million results that were above our guidance range of $45 million to $47 million. Please.

These positive results reflect the continued growth and active memberships, which settled nearly 33000 as of March 31 up from 20000 at year end.

Learning memberships revenue grew to $29 $7 million during the quarter and represented 60% of consumer revenues in the quarter up from nearly zero percent in the first quarter last year, demonstrating strong product market fit.

Our institutional business delivered record revenue of eight and a half million dollars, representing 17% of total revenue during the first quarter and delivered bookings of $6 $3 million.

On a combined basis learning memberships and institutional revenues delivered 77% of total revenue.

Daniel changed from just two years ago, when the business, where the 100 per cent package business and zero percent institutional revenue business.

Moving down the piano gross profit of $33.9 million for the first quarter represented an increase of 3% compared to the same period last year.

Gross margins of $68 nine per cent for the first quarter.

Accidentally 90 basis points lower than 69.8% in the same period last year.

The increase in gross profit was driven by gross margin expansion across our consumer audience, which was offset by higher than anticipated engagement with our new products and our institutional business.

As we evolve towards a greater mix of learning membership revenue, we expect consumer gross margin to expand throughout 2023.

Sales and marketing expenses on a gap basis, where $15 $6 million in the first quarter, a decrease of $7.4 million compared to the same period in 2022.

non-GAAP sales and marketing expenses, excluding non-cash stock based compensation were $14.7 million or 30 per cent of revenue in the first quarter.

This compares to 47% of revenue in the same period of last year, and approximately 1700 basis point improvement year over year.

Sales and marketing spend an efficiency improvements were driven by the transition to learning memberships, including the continued expansion of lifetime value.

Focused on optimizing the level of marketing spend in a more efficient operating model and our consumer business.

We also delivered substantial varsity tutors for schools revenue growth, yielding inefficiencies from prior investments and the institutional sales and go to market organization.

And learning memberships become a greater percentage of total revenue in the institutional business continues to scale, we expect to yield durable sales and marketing improvements.

<unk> basis was $29.7 million in the first quarter, a decrease of $800000 compared to the same period in 2022.

non-GAAP G&A expenses, excluding non-cash stock based compensation were $19.5 million or 40 per cent of revenue in the first quarter.

This compares to 41% of revenue in the same period of last year, and approximately 100 basis point improvement year over year.

Combined with our ongoing efforts and automation self service capabilities and the application of AI, we've been able to generate operating deficiencies and removes significant costs from the business.

As noted we reported adjusted EBITDA $1.4 million, nearly 1700 basis point year over year improvement in the first quarter.

Guidance range, we provided an adjusted EBITDA loss of $3 million to break even.

Cash provided by operating activities was positive $6 $8 million in the first quarter of 2023 compared to cash used an operating activities are zero point $9 million and the prior year period.

Resulting in cash and cash equivalent balances increasing by $5.8 million during the quarter ended March 31.

With no debt and $96.5 million of cash on our balance sheet. We believe nerdy is ample liquidity to fund the business and pursue growth initiatives.

Turning to our business outlook today, we are providing second quarter and updated full year 2000 twenty-three guidance.

We felt positive new customer addition engagement trends in the first quarter that have continued into April and may and compare favorably to our normal seasonality and internal expectations.

For the second quarter and full year, we expect revenue growth will be driven by the continued evolution towards recurring revenue streams, the corresponding built and the number of learning memberships subscribers and higher institutional revenues.

Are positive momentum provides us with increased visibility into in confidence and our expectation that we will deliver sequential year over year revenue growth each quarter as we move throughout 2023.

For the second quarter of 2023, we expect revenue in the range of $45 million to $47 million.

For the full year 2023, we're raising our revenue targets to $193 million to $200 million, representing 21 per cent growth at the midpoint versus R 2022 revenue of $162.7 million.

For the full year revenue guidance reflects our decision to ship 100 per cent of the consumer business to learning memberships by the end of the year, including the remaining professional audience.

Revenue guidance reflects normal summer seasonality, including anticipated lower levels of new customer acquisition consumption and learning membership retention during the summer months when K to 12 schools and universities are out of session.

Additionally, revenue guidance reflects a higher level of high dosage tutoring program utilization by school districts in the spring semester and a return to the normal seasonal pattern, starting new implementations in the fall when school starts.

Thus slightly shifting revenue into the first two quarters versus our prior expectation a consistent throughout the summer.

Alright, adjusted EBITDA guidance for both the second quarter and full year reflects the continuing benefits from a recurring revenue products, which focus on long term relationships with higher valued customers and improving consumer gross margin profile and operating efficiencies.

Stemming from our continued shift to recurring revenue business models.

For the second quarter of 2023, we expect a non-GAAP adjusted EBITDA loss in the range of $3 million to break even.

For the full year 2023, we're raising our targets to an adjusted EBITDA loss in the range of $7 million to breakeven.

Full year adjusted EBITDA guidance reflects the impact of normal summer seasonality and higher variable costs in the third quarter as we ramp into the back to school selling season.

Followed by a return to positive adjusted EBITDA in the fourth quarter consistent with prior guidance.

Thank you again for your time and with that I'll turn the call back over to Chuck.

Thanks, Jason and thanks again to all of you for joining US today as always we appreciate your interest and nerdy and look forward to continuing the dialogue. During this exciting time for the company with that I'll turn it over to the operator for Q&A operator.

We will now begin the question and answer session.

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As a reminder, if you're using a speaker phone. Please remember to pick up your handset before asking your question.

We will pause here briefly as questions are registered.

Our first question comes from the line of Ryan Mcdonald with meter. Your line is now open.

Hi, Chuck and Jason Thanks for taking my questions and not congrats on a great quarter, maybe we just wanted to start first on the institutional business clear.

Clearly some really great momentum there with with a record number of deals would just like to understand sort of how you foresee.

<unk> the demand environment on the institutional side progressing as we kind of get into the heart of the selling season here in <unk> and then as we look at the total contract value or the <unk>.

<unk> of the the deal count obviously this down on a sequential basis. Just curious what you are seeing in terms of deal trends.

In terms of sizing round number of modules are offerings are being adopted or size of deals in the pipeline. Thanks.

Thanks, Brian This is Chuck.

We've as you know we we ended our first feature sign contracts with the momentum right out of the gate Super strong feedback has been really encouraging an engagement was.

Much higher than we anticipated, which is excellent to see demonstrate strong market.

And we can now go out and kind of talk is demonstrate just how powerful live tutoring can be when teachers across the entire school districts are empowered to be able to help you.

District wide scale in a way that's highly individualized takes no account.

Unique balance of that particular student debit card one that's being part of the class. So that was a huge accomplishment.

Strong corner in totality in terms of revenue as well and as we head into.

And then back to school, what we're seeing is that the pipelines are continuing to grow these aren't very large and very lumpy.

Deal conversations that we're having so are less.

Teachers side contract is you know it was approximately $5 million per year as a staff license that that entitles. The school district, you Districtwide generating that teachers can prescribed and so these conversations many.

Many different stakeholders.

I tend to be oriented around the start of the school year. So given that kind of magnitude involving you wouldn't want to kick. These off for just a few weeks or a few months because you really want to.

Teacher support teacher buying.

Very focused on making sure this intersection to understand how to leverage the tools.

All of that then it lends itself to.

Opportunities that would start at the beginning of this lawyer. So we feel good about the pipeline value the swelling feel good about the the bundled offerings and how together we're able to provide the best value in terms of a multitude of district needs and then as we head into the summer Vac selected.

Feel good about how many of the conversations were having set it up for.

Difficult scale, an opportunity this back to school season.

Super helpful. Greg I appreciate the caller and commentary there and then maybe just on the learning memberships are awesome to see the continued progress there I guess I would just be curious as you continue to grow that number account what you're seeing in terms of.

The makeup of those members whether they were previous nerd or University tutors customers previously or if the learning memberships are sort of bringing net new learners to the to the platform. Thanks.

Sure Yeah, we feel free.

Worrying about the fact that the business has grown.

63% I believe is the number of friends.

Fourth quarter to the end of the first order so great progress there.

In totality of the active members ballpark, 75% were new sonority in about 25% or legacy.

Using a historically packaged model and see and feel the audience. So.

Good distribution among students ages, and we're seeing it resonate for different like high level subject usage and keep your father.

Middle School or high school or college or yeah, but in general this idea.

Heads of offering with wise et cetera.

Around five classes and a variety of forms of decent contact and different modality engaging we think really really resumes here. So.

Right about the progress and the offerings that engagement different little bit by age, but in general we're seeing it resonate across audience isn't that system more efficient market and one that makes it really easy to add additional capabilities like whether it's an AI tutor or some.

Some other form of contact like we have when we integrated code first.

Easy and effective way that our customers understand to get more value over time.

The only thing.

And my last call during the first quarter, we transition successfully the entire existing customer base within our academic subjects, which we feel really good about we also transition a test prep audience and then in our commentary sure that we're accelerating the transition professional business given the positive feedback cuss.

Customers escalate the higher conversion higher management higher attention and then from a business perspective, it's just the last drastically simplifies the operating structure, which we feel really good about.

During the back to school season will have an opportunity to.

Reintroduce learning memberships for our customers would use the package models past the currently on active.

Excellent congrats again on a great quarter.

That's right.

Thank you.

Our next question comes from the line of Doug M S with J P. Morgan.

Your line is now open.

Hey, it's <unk>. Thanks for taking my questions I guess, just a start on the membership model can you just talk about the pricing scratching structure overtime for.

For example, should we expect it to your to strategy is that uhm membership strategy for literary it's overtime and then I guess just on the investment cadence can you talk about any needs.

Around AI and generative AI holistically going forward.

Sure Thanks for answering questions.

So we started off with a very simple kind of plain vanilla approach to learning memberships, where we wanted to just affectionately have one tier of offerings bathroom would allow for us to go to the market effectively uhm last call. It may and June as we start waiting in the memberships aggressively.

Initially that was largely just one on one tutoring and then over the course of the next couple of months in the fall you know we started introducing all of these additional order format provided more value including.

My classes and hundreds of subjects every week.

Have a.

A variety of different asynchronous format of computer adaptive testing, we have code versus video game creation.

We started adding in other modality like the AIG chafee's tutoring and.

A couple of other things as well so that that'll allow for us to have all these.

Ingredients are Lego box that breed in a really really compelling offering for our customers that can allow for us to support them over any academic calendar year across a variety of different subjects, and then allowing them to learn how they want when they want to live as a cornerstone.

In general there's different amounts of one on one tutoring that you can get with your package and one of the things that you can experiment with that has driven both conversion and retention was changing up the frequency. So you can appeal to people that are maybe a little bit more academically focused and are concentrated in their efforts verses.

More casual burner in an area like foreign languages for adults.

So in totality, we are trying to take each of these underlying product capabilities and then find the contents and the frequency that then allow us to really appeal to get into segments. It. So we've seen tremendous conversion wins.

Pulling on that level here today, and I would expect that we continue to optimize those forget audiences overtime and then.

Sharing that with your second question.

Amazing thing here with generative AI as we are now able to create hyper personalised content for effectively free for a given learner and a given subject across thousands of subjects and all different levels of complexity as soon as you think about what items at the center of the Super power, we have as a company.

High quality Y party at scale and then surrounding it other forms of.

Content that can drive engagement that are highly attitude that we could serve up in real time online.

All sorts of different ways of generative ads and allow for you to get the exact right piece of content.

In the moment that you need it. So you can continue on your furniture. So we talked about signing a comprehensive destination and our ability to really live up to that vision and fill in any potential cockpit pulled that existed Jesse came dramatically easier. So we're super excited about our ability to leverage center.

Yeah, it's really.

Hence it really personalized experiences.

And we're actually working on it today, and we've announced a couple of those products and thus far but we have many more important.

I would just echo that we're going to deploy increased level cap. What did you say I in engineering that task in the near term to maintain that lead me to Dallas mistakes innovative speed and drive drive significant cost optimizations removed. The rest of this year and we look forward to reporting.

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Thank you <unk>.

Our next question comes from the line of breath, No glass with Cantor Fitzgerald. Your line is now open.

I got it thanks for taking my question and congrats on the on the quarter.

I guess could you maybe just.

Gave US a reminder, on how the seasonality of the business is going to work now with the <unk>.

Model and how that might differ from the package model.

And I guess, that's when you look at the second quarter like what should we be expecting some a membership count perspective, and the change and also I guess, you talked a bit about the institutional seasonality kind of.

Hearing up for.

The back to school season, and the start of third quarter should we be expecting that institutional resume to sequentially decline.

Second quarter before kind of ramping back up in the back half of it.

Yeah, Great question so.

Consistent with prior uses devalued Trask T. G revenues can be lower than Q1 as we previously discussed we haven't yet gone through a transition already memberships from one school year to the next it scale. So we're being cautious with respect to learning that was a success and a new customer acquisition during the summer months.

So are you guys reflects typical seasonality, which is the result of the smooth toundar super purchasing consumption.

Patterns I think it's important also acknowledged.

You can pull forward that we see <unk> tears.

Tears for schools dosage to revisit.

We also have a portion of our business that's unrelated legacy package.

Sequentially requiring period over a period as we had the summer months.

Net net we feel good about the anticipated level retention that are included in our forecast in guy, but we are cautiously optimistic there and then from an active learner count.

You know as of June 30 that would it for about 26000 active members.

As we move through the summer and which would then reaccelerating <unk> consistent with historical norms and well as in the fourth quarter. So we feel good about those trends.

That receipt, especially as.

As Chuck mentioned on the call the high levels of engagement at Pinball Q1 April and through May today, Yeah.

So is it really strong engagement on school side.

Great job on the implementation and we had previously assumed some of that revenue would kind of be peanut butter and across the first three quarters works now assuming that it is a little more in depth in the first two so obviously don't really good about the engagement.

For renewal.

Season.

Perfect and Iceland made make sure that I kind of understood understood you guys a bit correctly on.

The gross margin decline so that was largely due to the institutional mixing that things such a large order and institutional credit because that's maybe not at scale and up where the gross margin is gonna be kind of similar to the rest of the business.

Yes, that's right. So if you if you dissect that this isn't a two part of the consumer side. We saw continued gross margin increased especially as we continue to make shift towards a higher proportion of learning memberships and then on the varsity Theater school side.

If you remember our new teacher assigned products provide all access and unlimited support.

Student population with the implementation that took place during the first quarter into the second quarter stansell level of engagement, which frankly, we feel great about that there's a private market you sit there and you know, but it did compress gross margins.

About 150 basis points relative to our expectations during the quarter, Although we believe strongly for.

Expanding that product two additional spin districts on the one hand and driving increased.

Retention it over time, Yeah, I think the important thing to remember is that while the revenues recognizes linearly on some of these b D for us as products.

What actually happens from engagement perspective is the consumption goes up during the school year, particularly.

Period like January February March were calling school year, and then as you go into the summer you actually.

They should hire gross margin. So we think it's a great product.

Jason pointed out the fact that the engagement so items plan new products.

It's really really exercise or other.

He's out there.

And then Martin memberships continues to rat significant gross margin.

Perfect that Guy's really appreciate it.

Thank you.

Our next question comes from the line of Eric Sheridan with Goldman Sachs.

Line is now open.

Thanks, so much and and thanks for taking the questions maybe to follow ups on some of the comments that have already a may just be better understand as you move towards the exit velocity this year and the rate of membership you're talking about can you just help us unpack a little bit of how we should be thinking about sales and marketing efficiencies not only.

This year, but as an exit velocity into next year and and how do you think about either harvesting some of those efficiencies from sales and marketing as you get bigger memberships versus possibly accelerate accelerating membership adoption and invest in the back of the business that would be a topic, one and then topic too you called out deploy.

Capital behind.

Hi, can you help us better understand how much of these investments might be transient in 2023 to reposition the platform for what might be a different steady state.

Or steady state run rate of investment today I over the long term and any help you can in terms of comparing those two buckets. Thanks so much.

And questions. So as it relates to sales marketing efficiency, we drove 1700 deaths in sales and marketing efficiency here here in the first quarter and the reason we were able to do that.

First we have the new learning memberships model, which is significantly extending lifetime value of the shareholder letter you could actually see just how much LTV has gone up on average development package model, but.

Continuing to increase.

Secondly, we focused our marketing efforts on appealing to customers, who are looking for recurring support or multiple academic subjects multiplied academic calendar years, where we could serve them in a comprehensive way and so by doing so can affect your not focusing on what was previously described us.

7% of hyper transactional that bookings you never really optimizing for the.

93 per cent.

Customers to be supporting with tutoring and a comprehensive set of solutions like we have right now we've been targeting marketing payback periods that are very efficient call. It six months or last payback periods.

And as we get through the summer and see how we're working on those LTV curves as we head into the school year, there's going to be an opportunity to potentially change that payback period alone.

We're so excited about the jewel of economics.

Updated on we can blame it a little bit more aggressively so the other factors here is not just getting more.

Marketing efficiency, obviously, but rather accelerating growth through changing that payback period, a little bit.

And then acquiring a much larger number of users. So we're actively focused on things that we think will allow for us to do that not make it into the plan, but more focused on driving improvements to conversion, making our product more appealing expanding in the amount of the contents and offers that are embedded with it and then separate.

Really driving more attention over time it through those two factors conversion retention those are the things that also it allows us to talk about this.

They get on marketing and a very efficacious way. So I think we feel really good about the model today and the new customer tries to be a customer, Tennessee pretty consistent throughout the first four and a half months of the year and are being well known April may, but there's definitely going to be an opportunity as we see some of that data.

And a little bit further to drive.

Most of the property.

And now the second part.

That's the way I think about that Appointment's in AI and a lot of the infrastructure has been built a lot of data has been captured you've had one of the 10 billion hours of instruction on the platform every part of that customer journeys instrumented learning itself with hers.

Video session on the platform that that has computer adaptive testing and.

Q&A in other forums Thompson decent engagement, which you know is kind of captured in that into our data like.

The work has been done for me, it's been built over many years to ensure that we're capturing my information and then can use it to drive higher personalization of engagement. So we have been adding to the team, but that's relatively modest.

And thus far based on what I've seen is largely been self watching so we would expect to make.

Some investments and personnel particular over the course of the next one or two but we're getting incredible yields on our efforts and when it's back that as we get it.

<unk>.

It's finally finally get that work.

Not at all.

We really appreciate it.

Thank you.

Our next question comes from the line of Andrew <unk>.

J M P securities.

Andrew Your line is now open.

Moving onto our next question from the line of Mario Lou with Barclays. Your line is now open.

Great. Thanks, guys. This is Alex shoes on for Mario just two quick questions. If I can on the active experts saw it looks like it was down about 10%.

This past quarter and you've made comments previously that you know your <unk>.

Focusing on allocating more work to fewer active X experts. So just wondering if there's been any incremental changes in terms of how you're identifying in acquiring those experts and.

If.

Your current.

<unk> products or future AI products shifts.

<unk>, even more and then second question just is there any update on the American rescue plan dollars being deployed too nerdy services and if so what does that look like for the rest of the year. Thanks.

Great questions and I can take the first one and then handed over to Jason for the second one.

So we have made a conscious effort to focus on acquiring and retaining top experts to do a disproportionately good job and making sure that they get a great experience and the fact that they're gonna.

Consistent earning opportunities overtime. So in that regard learning memberships has been terrific for the expert experience because they're meeting with students on a recurring basis typically call at one to two times a week for an entire semester school year in pursuit.

Goal or skill and as a result, they're able to count on.

The earnings associated with that so one of the things that we tried to do is rather than more kind of randomly or democratically distribute the different opportunities. We've continued to lead further into our machine works matching algorithms.

Disproportionately sent opportunities to top experts and by doing that were then able to retain them water, which of course that leads to a much better customer experience overtime. So this kind of compounding financial aspect of this.

And one.

One of the things that we've also been able to do is also start getting better at predicting who would be likely to get work on the platform and via successful and using AI and predictive algorithms to try to predict upfront before somebody been joins platform who's likely to be <unk>.

Consistent.

Expert to then drive high levels of.

Customer satisfaction and takes on a number of students versus those that say, maybe a little bit more transient interested in a short amount of work a smaller amount of work with other complicated relationships a little bit more so you could deliver a better customer experience of course, there's costs associated with bringing on experts. So it's terrific for the business to be able to.

Decrease the number of people who might enjoy it and not actually work with students. So this is a conscious effort we feel great about it and you are seeing it pull through to operating large.

Yeah, and then just send your questions related to <unk>.

Keep in mind I'd like to be to be space, where companies are pulling down their money spending all the government funding for schools has already been provided the money's in the market and schools are seeking out our solutions like ours to address the student and teacher shortage that we're seeing in the marketplace. So as of January 31st only about 28% of that money has been spent according to the DEA.

And administrators are looking for a larger solutions like ours, because learning loss and teacher shortages in the long term issues.

We believe our new per student per year programs like teacher Simon.

Allow for long term durability product offerings.

Both of those needs.

Support teachers as co teachers in the classroom and their normal daily worthless. So <unk>.

Essential amount of money stolen market still needs to be set by September of 2024, but even beyond us or because of that support for teachers of their daily work well, we've got normal and reasonable budgets, which are all running surpluses and then beyond that you've also got tied to one funding, which was <unk> billion dollars in the most recent omnibus bill and those ones. So.

You feel like there's plenty of funding in the market to support the Kinney drugs and devices Jewish reasonable.

Yeah, we felt really good about momentum there and we've obviously involved are offerings, Rob what had initially just been high dosage tutoring to one that much more comprehensive and to these new that's models teacher assigned where the teachers really are at the center of the offer and we think that's really powerful here. So the.

Fact that schools has been a little bit slower and more discerning and spending a totality, we think but it's all for us because it's given us an opportunity exceptional products.

That is highly relevant scale. We think we are uniquely qualified to deliver highest quality worthy at scale in a way that hasn't been done before through our district partners and really help them accomplish things that might otherwise have been more difficult for them to accomplish his lifestyle b students.

Okay.

Thank you.

Our next question comes from the line of Andrew <unk> with J M. P. Securities. Your line is now open.

Hi, guys. Thank you for taking my question is is an add on for Andrew.

Just wanted to ask with <unk> being offered for $20. A month is there something that you guys are going ahead to do with pricing packaging is the competitive side evolves around AI and there may be a second one you find institutional in our school district, asking for anything on Aib's tutoring offerings or is this something that you guys are.

We're looking at a product roadmap any color that would be super helpful. Thank you.

Sure. Okay. Good question so.

<unk> has been around for 27 years and $20 a month and we're excited about incorporating it at the modality offering but it's one of many many different ways that you can learn so as we think about our AI tutor and when it is able to accomplish.

It's something that is being used today for homework help is being used for Q&A and it's kind of taking the place of all these content resources.

<unk> <unk> well.

What we're seeing is that people are using it to engage additionally, beyond their wives, referring face to face tutoring session.

Goal and so we see it as another form of content creation and another modality of interaction so.

From our perspective, like we're going to be adding all sorts of different ways to engage and this is one of them that happens to be at the press a lot and do you think.

<unk> <unk> <unk>.

Across a wide variety of different forms of both content personalization.

Expert runner matching and then also applying it to drive operational efficiencies and so as we think about schools. I mean this is a really exciting opportunities are you thinking about all the technology that rebuilt and our application of a.

To drive human interaction and get what we describe as superpowers to tutors and now educators. This is an area, where we're actively seeing schools ask about it and accurately how can we allow for their teachers to drive iron levels of personalization. Your day. So you know as an example, the idea of an idea individualized.

Education plan has been tossed around for decades is something that.

Deal World schools will be able to provide to each and every student but they can't they can only do it for a small subset of students now thanks, degenerative AI that sort of thing where you could actually do it at scale in a way that's hyper personalized and alive to both the state standards within a given state and the specific curriculum requirements.

Give at school and that would never been possible. So we're super excited about our ability to take some of the products for building and then extend them into school in ways that are kind of wrapped around five and provide additional K.

Capabilities to teachers that get that leverage should help educators solve problems.

Thank you Super helpful.

Thank you.

There are no additional questions waiting at this time, so I would like to pass the conference back over to the management team for closing remarks.

We just like to thank everyone for their time on the call today as you can tell we feel really good about the business model transition to learning memberships and the expansion of our Securitas for school as well as the application of AI throughout our business drive continued growth and cost.

That concludes today's call.

Thank you for your participation growth and cost.

Q1 Nerdy Inc Earnings Call

Demo

Nerdy

Earnings

Q1 Nerdy Inc Earnings Call

NRDY

Tuesday, May 9th, 2023 at 9:00 PM

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