Hello, welcome to Marchex's Q2 Conference Call. My name is Lauren, and I'll be coordinating your call today. There will be an opportunity for questions at the end of the presentation. If you would like to ask a question, please press star followed by one on your telephone keypad. I will now hand you over to your host, Trevor Caldwell, Senior Vice President of Investor Relations and Strategic Initiatives to begin. Trevor, please go ahead. Thank you, Lauren. Good afternoon, everyone, welcome to Marchex's Business Update, its Q2 2023 conference call. Joining us today are Edwin Miller, our CEO, and Michael Arends, our Vice Chairman. Before we get started, I would like to take this opportunity to remind you that our remarks today will include forward-looking statements, including references to our financial and operational performance, actual results may differ materially from those contemplated by these forward-looking statements. Risks and uncertainties that could cause these results to differ materially are set forth in today's earnings press release and in our most recent annual and quarterly report filed with the SEC. Any forward-looking statements that we make on this call are based on assumptions as of today, we undertake no obligation to update these statements in the subsequent events. During the call, we will present both GAAP and non-GAAP financial measures. Reconciliation of GAAP to non-GAAP measures is included in today's earnings press release. The earnings press release is available in the Investor Relations section of our website. At this time, I want to turn the call over to Edwin. Thank you, Trevor, and thank you for everyone who's joining. Good afternoon. I would like to thank you all for joining to discuss Marchex and what we consider a very hot topic around AI or artificial intelligence, which we're in the middle of. Before we dive into details of the quarter, I will share some thoughts around my journey as CEO of Marchex. We believe we are in a strong market with strong and good tailwinds. I'm in the midst of building relationships with our clients and understanding their problems, and how Marchex can provide solutions now and in the future. Marchex is at a unique moment. Our early investments in artificial intelligence have positioned our business to capitalize on the market's growing demand for a vertical market understanding and products. We believe we are in the right place and at the right time to be a leader in the conversational intelligence market, and that we simply need to continue our path to execute across our talent, process, and technology, and empower our clients to be smarter each and every day. It has been a very good amount of time I've spent out in person with our clients. It's been a really good set of meetings. We enjoy working with some of the largest businesses in the world. The potential we have with our current clients and in our vertical markets excite me. I continue to focus the bulk of my efforts on our customers and reorganizing the business to take advantage of the opportunity we see in front of us within a multi-billion dollar market. Over the past six months, I've been developing a deep understanding of the challenges, and more importantly, the opportunities our customers possess in their industries. It has been exciting to see how our unique understanding of the vertical markets where we operate give us an advantage in mathematically understanding data to shape solutions around a complex set of conversations. This is exciting to create in collaboration with our clients, and I do stress with our clients. These are very large companies that engage with their customers across multiple communication channels. They care deeply about each step in their processes. They are data-driven and are aware that many have significant gaps around understanding and engaging customers across their omni-channel communications. The era we find ourselves in now proves that Marchex was ahead of the curve in using our data to develop our AI capabilities. Our foresight in directing resources toward creating award-winning AI products is a testament to the talent and innovation of our team. In fact, in the Q2, we received the highly sought-after industry honor, the 2023 Artificial Intelligence Breakthrough Award for the best AI solution for sales. Say that again. Breakthrough Award for the best AI solution for sales. This award recognizes excellence, innovation, hard work, and success in a range of AI and machine learning-related categories, including generative AI, computer vision, AIOps, deep learning, robotics, natural language processing, industry-specific AI applications, and much more. In the Q2, Marchex also received our second Customer Success Award from Appealie. Appealie SaaS Awards honor customer-based success platforms and success stories that deliver extraordinary experiences and results. This represents further recognition that our cutting-edge solutions are highly effective in delivering exceptional results for our clients. We are creating solutions that can help realize tens of millions of incremental sales a year to Fortune 100 brands. Our customers are actively asking more from us. That's a large part of why we are winning new relationships and establishing record contract extensions with certain partners. There's another reason we expect to lead this space. It is directly correlated to the exceptional relationships we have developed with several of the largest brands in the automotive, auto services, and home services industries, among others. These strategic partnerships have provided us with invaluable insights into customer needs and industry trends. Our team has worked over many years to solidify our position as a trusted and often exclusive provider of conversational intelligence solutions. As the new CEO at Marchex, I'm grateful for the care and consideration our teams have poured into these relationships over the years. What's most exciting is what many of our largest customers want us to do, which is expand now and in the future. To accomplish that, Marchex will continue to organize ourselves to move most quickly and serve our customers and innovate faster as we open new market opportunities. I will stress, I've now met all of our top customers around the globe. I'm now on second and third meetings with them, and it truly is exciting. I'd like to take a moment now to talk about how, by focusing on three key areas, we intend to unlock our future opportunities. The first will be through building enhanced customer experiences for brands. Conversational intelligence holds the potential to revolutionize the way customers interact with brands. By leveraging our strong relationships with enterprise companies in auto, auto services, home services, and other verticals, we can tailor conversational solutions to meet their unique needs. We can transform the way our customers interact with their customers and prospects across the phone and in text messaging and beyond. The second is through our data-driven insights. Our access to billions and billions of anonymized data points from our partners gives us a significant competitive edge. We can extract insights from customer interactions to a degree of granularity that our customers have never accessed before. This, again, is thanks to the power of our AI platform, and I'm gonna add math models. We can identify emerging trends, customer preferences, and pain points to help our clients make the best and most informed data-driven decisions. We've helped our customers achieve increased sales and improved services, driving loyalty and customer satisfaction. Now, on to my third and final point about what makes Marchex a differentiated competitor. It is our innovation and R&D. Staying ahead in the conversational intelligence market demands continuous innovation and investment in research and development. We've committed ourselves to expanding our team of talent engineers and data scientists, enabling us to develop cutting-edge technology that pushes the boundaries of conversational AI. The work we're doing is shaping the future of the industries we serve. We are moving fast. We've further aligned the people, process, and technology facets of the company in the past few months, from the executive team to various other functions within the company. I am proud of the team. Additionally, we plan to continue to drive initiatives to achieve profitability earlier than we previously anticipated and preserve the balance sheet to meet our long-term needs. In addition, these efforts are focused to enable us to move faster as a company. AI is changing the landscape in software. Over the next several months, you will see new products and new go-to-market strategies unfold. Many of our customers are looking to us to provide much-needed innovation for their businesses. There is much work to do together, but I am excited about our future, and I do look forward to updating you on our progress in the coming months. With that, I'll turn it over to Mike. Thank you, Edwin. For the Q2, revenue was $12.5 million, versus $13.5 million for the same quarter last year. From a revenue perspective, the quarter was mixed. On the one hand, we saw continued pressure on conversation volumes in certain vertical segments, with growth in others. Specifically, there was continued pressure with our small business listing and solution providers that mostly sell marketing services to local businesses. This trend manifested over the latter part of 2022 and has continued into the first half of 2023. On the other side of the equation, certain verticals, like automotive and auto services, saw growth on a year-over-year basis. On a sequential basis, our auto, auto dealership-facing products continued to see momentum. This is primarily as a result of the continued expanding support from auto OEM relationships, particularly those we've recently extended into multiyear terms. Over time, as we continue to expand our OEM and brand partnerships, we believe this will provide a continued tailwind for our dealership products. In addition, we see significant potential to expand some of these products into verticals that have similar characteristics and where we already have relationships with many of the vertical leaders. I'll dive into this in more detail in a moment when I discuss further guidance for 2023. Turning to the P&L for the Q2. Excluding stock-based compensation, amortization of intangible assets, and acquisition or disposition-related costs, total operating costs for the Q2 were $14 million, compared to $13.7 million for the Q2 of 2022. During the quarter, we incurred certain costs associated with reorganizing and modifying operating activities, totaling approximately $500,000. These were spread across functional areas and related primarily to personnel, facilities, and system expenditures. Service costs were $5.5 million for the Q2, which decreased as a% of revenue from the first quarter of 2023, excluding the impact of efficiency initiatives. Service costs increased on a year-over-year basis, in part due to increased data and labor costs associated with customer migrations onto new product platforms and increased staging investment for our AI initiatives, which we expect to remain the case through the balance of this year and into next year. Several of these investments are of a fixed nature, and therefore, over time, we believe we will see a positive impact on service costs as a% of revenue as we sell through our new conversational intelligence products and advance our new channel initiatives. Sales and marketing costs were approximately $2.4 million for the Q2. This was down from the prior comparative periods, in large part as a result of the reorganizing initiatives. Product development costs were $4 million for the Q2 as we continue to invest in our products and in building AI to expand our conversational intelligence capabilities. Now moving to profitability measures. Adjusted operating loss before amortization for the Q2 was $1.5 million. Corresponding adjusted EBITDA was a loss of approximately $1 million. These amounts include approximately $500,000 for certain costs associated with reorganizing and modifying operating activities. Excluding those amounts, Adjusted EBITDA was a loss of $550,000. GAAP net loss was $2.7 million for the Q2, or $0.06 per diluted share. This compares to a loss of $1.5 million, or $0.03 per diluted share for the Q2 of 2022. Adjusted non-GAAP loss was $0.03 per share for the Q2, compared to a loss of $0.01 per share for the Q2 of 2022. Additionally, we ended the Q2 with approximately $14.1 million in cash on hand. Turning to our outlook. We believe revenue in the Q3 of 2023 should increase modestly relative to the Q2 of 2023. We continue to see some headwinds in certain verticals, as previously mentioned, that will carry over into the Q3. However, we believe those factors will be offset by the growth driven by new customer adoption and the onboarding of previously won relationships, including our recent OEM and auto brand wins, and by existing customers ramping. In addition, based on that momentum, we continue to believe that we should see revenue growth in our back half of the year versus the first half of 2023, and we continue to believe that our traction within the automotive vertical can lead to double-digit growth on an annualized run rate, year-over-year basis by the end of 2023 within that vertical. With our current progress, we believe we will be at or near breakeven on an Adjusted EBITDA basis in the Q3, including at breakeven or above levels in September. Furthermore, our cost-saving initiatives, in tandem with expected future revenue growth initiatives, should enable greater leverage, and consequently, we could see improvement in profitability measures in the future. The first half of 2023 has seen significant change at the company. Several growth initiatives are just beginning to bear fruit for us, and there is significantly more to share on our product and innovation roadmap. We remain in a unique position where many of our largest customers are asking for more of our products and signing long-term commitments to gain access to our conversational intelligence software and our pipeline of new products. While we can identify the work needed to unlock that potential, we also recognize there remain many other significant opportunities to expand our relationships with some of the largest companies in the auto, auto services, home services, and healthcare verticals, among others. We believe that several of these relationships should contribute to growth this year, with significant growth potential going forward. For example, we are encouraged to see that the progress with our auto OEM partners supports inroads and strategic advantage with our auto dealer sales channel. We expect this will continue in the future. In addition, as mentioned, there are several new products and vertical initiatives that we expect to launch, with some slated for later this year. Now, as Edwin mentioned, we strongly believe that our company has significant untapped potential. We have been realigning the business to go faster and unlock opportunities with our existing customers while looking to open new market opportunities by penetrating verticals where we already have a critical mass of data to innovate from. At the same time, we are continuing to invest in our innovation engine at a critical time when many industries need to understand how to leverage data science and AI to deliver better customer experiences and sell more. We go forward, we expect to see expanded relationships with numerous Fortune 500 customers and other new and significant relationships added to our base. I want to thank all of our employees again for their continued dedication and effort. With that, operator, we will hand the call back to you. Thank you. If you would like to ask a question, please press star followed by 1 on your telephone keypad. If you change your mind, please press star followed by two. When preparing to ask your question, please ensure that your phone is unmuted locally. As a reminder, that is star followed by 1 to ask a question. Our first question comes from Dillon Heslin from Roth Capital Partners. Dillon, please go ahead. Hey, thanks for taking my question. First one, when you talk about the volume trends with your other services being down year-over-year still, but then still some momentum sequentially in auto, if you, if you compare Q to Q1, are the general trends better in terms of a sequential basis, where you might have at least reached a trough and are on the way up, just the general volume trends across all the businesses? Thank you, Dillon, for the question. This is Mike. As we mentioned in some of the prepared remarks, the small business solution providers that focus on some of their selling to local and the small and medium-sized businesses, they have manifested being down in the latter part of 2022. That trend continued not just here in the 1st quarter of the year, but also in the Q2. We see that here as we sit in the early part of the Q3 as well. What we do see, though, is in automotive and in auto services, and in some of the other verticals that we've referenced today, where we've had not only expanded relationships with some of our customer base that existed already, but also some of the new wins, and especially with some of the larger OEMs that we have announced previously in the last six months, we see things burgeoning. We have onboarded, in some cases, fortuitously, where the ramp has already started, and we saw a little bit of that during the Q2, but that trend continues. To answer your question, in those areas, especially with the expansion of the relationships, the committed relationships that have extended for several multiyear periods, as well as some of the new prospects, we see the momentum as expected, which gives us the pause for why we think the back half of the year, again, is gonna be incrementally in higher revenue than the first half of the year, and why we see the sequential growth as we sit here looking into the Q3. Importantly, I think the other part of the remarks we made, which I'll reiterate, we view at the end of 2023, particularly with the sponsorship opportunities we're getting through the OEM relationships in the auto sector, some of our dealer sales direct outreach initiatives and the new products that we've brought with features and benefits at the dealer level, to be able to continue to see progress there. By the end of this year, we expect on a run rate basis, still, that the revenue in that auto vertical to be double-digit revenue growth on a year-over-year basis by the end of 2023. What that does in our minds, especially given the nimbleness and some of the organization, modifications that have been made to align more to go after certain of these, momentum-producing areas, we like what that sets us up for for 2024. Yeah, Mike, I'll add one thing. This is Edwin. Thank you, Edwin. in relation to the question. Oh, go ahead. I'm sorry. Yeah, let me, let me add a little bit to that because I'm on the front lines every day. When he says nimbleness and movement, we, we really have structured the business to support vertical market, go-to markets. What I'm finding, which is really fun, is the needs of the clients across our verticals, they're not different. The, the product offering is not different. The feature set's not different. It may be different math models with different nomenclature. Like in auto, you say Bronco, it, it means a truck, not a horse. When you jump to home services, when they say pans, it's, it's something else, right? Outside of the vernacular nomenclature, our go-to markets look very similar, even so that our current inside sales group that has been targeting that double-digit growth in auto, which has been great, we now have them lit up to start new campaigns in new vertical markets with new scripts that will drive the business and our ability to impact verticals where we already have some stickiness. Great. Thank you. Actually, just to sort of as a follow-up on, on what you mentioned, Edwin, when you talk about expanding into those new verticals that are somewhat similar, do you think there's a large need for, you know, increased R&D to sort of help with training the models on sort of the new data sets, or it's pretty, pretty similar enough where you can get those up and running fast? Yeah, they're, they're, they're very similar. The, the, the only difference I'd say in the math models is, it's like we've got I don't know how many tens of millions of conversations in certain verticals, but understand this, we're already in the verticals, so it's the four verticals we mentioned, I've been with clients in all four, four verticals already, and they're massive clients. Our ability to position what we're doing in R&D across those verticals is consistent. It's- it'll be one data stack, one pipe. Our ability to build the math models to your problem has just gotten sped up. What we have is vertical dominance. The horizontal, I was on a panel a couple of weeks ago, with startups, where they had a bunch of AI. Everybody's AI now, and they're horizontal. We actually have been in vertical for many, many, many, many years. The ability to walk in and understand those conversations and help them understand how to create a better relationship, whether it's a marketing or a sales motion, we've got that data. Forming the math models, we've got the people. We are investing in that area, and I'm not worried about that at all. I would not wanna be a horizontal AI player right now, I can tell you that. Great. Thanks for taking my questions. You bet. Thank you. Thank you. Our next question comes from Mike Latimore, from Northland Capital Markets. Mike, please go ahead. Great, yeah. Thank you. I guess, Edwin, you know, conversational intelligence can mean a lot of different things. Can you give a sort of concrete example of a use case that you're particularly excited about, and maybe some of the ROI behind it, you know, that you're seeing maybe with some of your bigger customers? Thanks, Mike, for the question. Certainly. I'm gonna give a broad answer, and then I'll go deep. I'll go 30,000 feet down to 2,000. conversational intelligence, really, a- and, omni-channel intelligence, it's, it's hard to do, and we have the platforms to do it, which is, which is awesome. Our ability to, to collect, trap, analyze, understand, and deliver data back in 20 seconds to a client about an experience of a hang-up or a non-transfer or a bad conversation, it's powerful. Like, I, I've not seen anything like it, and I'm on my... I, I've been on a journey in my career as a CEO, and the-- this is fun. I, I, like, an ex-- a specific example would be, you want-- you've got 500 dealerships that are using our platform. It's from the OEM, tier one, tier two, tier three, and our ability to say what happened, to deliver education very quickly to the people in the field trying to drive performance in the dealership, or know what happened on a call or a text, we're there. Now, do I think we're only there? No, and this is where I'm, I'm gonna probably be careful, but we are a data analytics company. We've got more data than any company I've seen in my career as a CEO. What we do with that data and how we form math models to drive value props for our clients, I mean, I'm literally whiteboarding with our clients. I came off vacation. I flew twice last week. Got my family located, got on a plane, flew, and whiteboarded with clients. The need's there. How they expand their use of our platform and our data analytics, it's clear to me and a clear path. We've got a lot of work to do. I believe we can do it, got the right team in place. Yeah, we, the amount of value, when I say tens of millions of dollars a year to clients, it truly is on, let's call it a math model with a signal, tens of millions a year that they get to save. I will say. Yeah. Okay. Generative AI is gonna help us move faster, and I, our customers wanna do more with us, and I'm out there with them. I actually got my first hugs on the road last week from clients, which is awesome. It was completely PC, by the way. Oh, yeah. There it is. Nothing, nothing bad. Oh, good. Good. Excellent. Sorry. Good. The... I know you talked about the small business segment being soft. Are there any other verticals that are kind of in a declining mode still, and what% of revenue are those again? Hi, Mike. This is Mike here. The small business listing and those solution providers make up the brunt. We do have some other smaller areas, but in terms of those small business solution providers being down on a year-over-year basis, that trend continues. In some cases, it's more than 20% down. They don't make up a significant proportion, but still a meaningful proportion of the aggregate revenues. Each quarter that we go, and the automotive progresses, the auto services progresses, and the home services progresses, the impact hopefully becomes further muted. Yeah, I'll add to that. Go ahead. it's, it's also, again, I'll stress that the having been in front of the customer, taking people that were in just in verticals now to other verticals, they can see just how the same problems exist, and our, our software solves it. I think, I think our fit is, it's not just the four verticals we're in, I'm gonna include healthcare in there. There are three more verticals I think we can go after with the same data pipe, data stack, data analytics. We have to tweak the math models. Generative AI is helping with that, but we also have We got droves of data where we can build math models going into a and actually predict what it's gonna look like faster than someone who's trying to sell it for the first time. I think the, the, the, the complexity of B2B2C is where we live really well. I'm gonna be hard to beat on the road, on B2B2C. Yeah. Yeah. Pause there. I'm probably getting on here. All right. Yeah, just one last topic then on, on generative AI, I guess. Is the idea here that, you know, you can feed your data into a Large Language Model, and it'll accelerate the, you know, kind of the, the, the customer sentiment, the understanding of the intent of a call faster? Maybe just explain how generative AI will help here, and then, I mean, do you have a license with, like, an OpenAI, or how does that work? Think about generative AI and everything that's ChatGPT or Copilot or anybody's offering. It will help you accelerate a lot of different things. Like I can, I can write a job description now in seconds. I can feed it prompts, but you have to actually have to understand the prompts. You can't build the prompts without the vertical data. You can't build the prompts without the, the math models you already have around the vertical data. The speed's gonna be. It's gonna make our life, everybody's life, I mean, it is transformative. I was in the internet in 1993, and I remember getting told by a very large Fortune 100, they'd never use the internet. They would stay on EDI. I sold them internet in 1995. It's gonna be the same but faster progression for people leveraging the tools. The question is: do you have the data? Can you build the math models? Do you know the clients? I mean, we've got some of the largest clients in the world leveraging our platform. We just gotta keep doing what we've been doing in the past six months. Prior, we gotta line up our processes, we gotta line up our talent, we gotta line up our technology, and we gotta leverage everything coming at us and be ahead. We're actually hiring in the data scientist world. I've got 13 people on the team looking at what's next, what's gonna happen to us in six months with generative AI. You think 13 is a small number, it's not. Less is more when you're running a company with, with anything around technology. Throw 50 people, 50 people in a, in a kitchen, you'll never get a dinner. You throw one good chef, a chef in a dinner with some support staff, maybe two or three, you get a great dinner. I like to move agile, I like to move fast, but I'm excited about where we are. Are you gonna leverage third-party LLMs here, or is it all internal? Good question. I, I think yes is the answer, short answer. We also have a lot of expertise around it.