Webinar: Building an AI-Led Insights Culture at eBay 

Hello, everyone, and welcome to today’s webinar, building an AI led insights culture at eBay. My name is Caroline Woods, and I will be moderating today’s event. It will begin with a brief overview of Market who we are before moving into a look at the history between eBay and Market Logic, how we began working together up to present day. At this point, we will move into an interview with our guest speaker Seth here. And at the end, we will break for a audience q and a. I’m very happy to be joined today by Seth Mandel, is the senior manager for insights capabilities in the GCI team at eBay. And from the Market Logic side of things, we have Jennifer McMahon, who’s the senior director for customer success and has been working closely with the eBay team, on their various insights, activities. So we have two expert perspectives, ready to share with you guys today. But before we get into that, let me just set the scene a little bit about who we are. So Market Logic is an insights, platform vendor that has been in this space for over fifteen years. You can see some of our client bases here. We work across a lot of industries, retail, CPG, pharma, automotive, etcetera. And, we work alongside global enterprises, to help them surface insights, be more consumer led, and innovative. Lastly, before I hand things over to Jennifer, you will be hearing a lot specifically about our product DeepSights. So for anyone who is joining who is unfamiliar with Market Logic or perhaps has not seen our platform, I just wanted to present this as a a visual guide, so to speak. I will not be doing a full product demo, but just, some fast facts. So DeepSights is our Gen AI solution that sits on top of our clients’ consumer insights platforms. It is a Gen AI layer. You begin here at the top by asking a question in natural language. DeepSights then searches your entire company database of knowledge and surfaces answers that are grounded in your company data. It’s a very easy platform to use, very intuitive. It allows you to, directly share with your colleagues. It allows you to manage the sources that the answers are based in. You can generate and export reports, and you can explore further readings, to dive deeper into the topics. This has been on the market for about two years now, and eBay has been a DeepSights client for about one year. And so we are gonna be focusing about where that AI journey has led them and how they have sort of capitalized on this new technology in order to, again, as the title suggests, build an AI led insights culture. So with that, I will, hand things over to Jennifer. Here we go. Thanks. I’m Jennifer McMahon. I’m on the customer success team working with eBay and Seth. And I wanted to share a little bit about our partnership before I kick it over to Carolyn and Seth again. So since twenty nineteen, our partnership has gone through remarkable evolution. This has been shaped by growth, innovation, and collaboration. We started with a relatively low touch platform, and over time, Insight Central has become a unified and democratized hub for sharing insights. Our user growth is up over two hundred percent year over year, and content uploads have increased by over three hundred percent in the past three years, which is just incredible. That tells us that people are not only using the platform, but they’re finding real value in it as well. The next big step was increasing integrations, taking us one step closer to becoming a true one stop shop. EBay has also invested heavily in enablement, running impactful training sessions for more than thirty seven hundred eBears to make sure everyone can use the platform effectively. And now we’re entering a phase of transformational growth. Both eBay and Market Logic teams are aligned and ready to take the next leap, focusing on building a more innovative and automated solution together. With a solid foundation and an incredibly strong AI culture at eBay, we’re set up for even greater progress moving forward. We’re now working with, to connect DeepSights to eBay’s broader AI ecosystem, aiming to make Insight Central the storefront for all consumer insights. In just a few years, we’ve grown from a simple tool into a really powerful, integrated, and continually evolving platform that’s really scaled with the business. This chart is just a visual representation of the evolution I just described. So we we showed steady growth year over year, but the real progress began when we launched DeepSights in the fall of twenty twenty. A few fun facts for you. EBay is currently leading the Market Logic charts in terms of DeepSights usage, so congrats, eBay. As I already mentioned, we also saw a spike in content uploads as well. And what we’ve noticed across our customer base is as DeepSights ramps up, so does the knowledge asset or the amount of valuable content that resides in the platform. Insights curators want to democratize their work, and they want to have DeepSights included in their answers. So it’s really a win win situation. Along with the launch of DeepSights, eBay also expanded their footprint with their syndicated partners as well. So now instead of going to numerous partner sites to find information, everything is made accessible through insights central and DeepSights. The light blue part of the bar chart represents the number of sources that are accessed through our traditional search application, and the dark blue part represents the amount of assets that are brought forth as sources in our DeepSights Answers. So this shows a real shift not only in the ways of working in the platform, but also the range and richness that DeepSights brings to the forefront. And finally, before I pass it over to Carolyn and Seth, I wanted to share a few key themes from some recent DeepSights feedback that eBay has collected. The first is around avoiding duplication. DeepSights helps users uncover existing research they might have not known about, which can help prevent redundant work. The next one talks about efficiency and accessibility. DeepSights quickly summarizes insights and provides easy access to underlying sources, saving time and speed to insight for everyone. Another key theme is around enhanced insights generation. Users can identify research gaps and build on existing knowledge for more strategic incremental learning plans. Finally, we’ve heard a lot of feedback around scalability. DeepSights helps process and extract insights from large volumes of not only internal eBay data, but also from their syndicated content. So thanks for your patience with the technical difficulties. And that’s all for me. So I’ll I’ll pass it over to Seth and Carolyn, who will talk about building an AI led insights culture. Thank you, Jennifer. And I will invite Seth to unmute himself if he hasn’t already. We will see Jen again, you know, technical issues permitting at the end for the q and a. So just a reminder at this point, if you have any questions about, how we were able to achieve some of these, remarkable figures with eBay, from the implementation side and the customer success side of things. You can ask a question to Jen right in the q and a tab. So, yeah, Seth, welcome. Thank you for joining us. Let me dive right into our interview portion now. And if we could begin with just a personal introduction, do you mind explaining to us your current role? Sure. So one of the main focuses in my role is democratizing insights across eBay. I work with our self-service insight tools, AI solutions, and our knowledge management system to make it easy for everyone at eBay to find the insights they need at the moment they need them. We’re a very small insight team, and we support a very large organization. We wanna help everyone, but we just don’t have the bandwidth for every partner to call us whenever they have a question. So our goal is to teach people to fish, to give them the tools and confidence to find the answers for themselves, and that’s where Market Logic and what we call Insight Central comes in. It’s eBay’s insight repository, and it’s designed to be a one stop shop where everyone can quickly find the insights that they need. And now with DeepSights, we’re taking it to the next level. Okay. Yeah. Perfect. Let’s, stay at that era, that sort of, premarket logic and DeepSights point in time. Could you provide a little information about what are the what were the initial challenges and pain points within your team, and what were the desired outcomes you hope to address by introducing AI into eBay’s insights tech stack? Yeah. So imagine you’re an eBay stakeholder with a time sensitive need for for insights. And you know eBay has a wealth of information from insight teams and information subscriptions, dashboards, SharePoints, so many other sources. But where do you start? Who do you talk to, and how do you know you’re getting the most up to date information? And that’s the problem that DeepSights has been solving for us. So now instead of spending hours searching, simply type your question into DeepSights. And within thirty seconds or maybe a minute, it will scan everything we know and deliver a synthesized bulleted summary, including sources, so you can validate the answer for yourselves. And for a small team that’s very busy like us, it’s been transformational. So over the last year, it’s really amplified the reach and impact of the global consumer insights team and empowered our business partners to make faster, better informed decisions. Great. Before we get into all the good stuff about the impact and and the growth that you’ve seen at eBay and the insights being used, let’s talk about sort of the implementation phase. So, after selecting DeepSights as the solution to address these needs you just, explained, what happened next? What were the necessary steps that you and your team had to take before DeepSights could be launched at eBay? Certainly certainly didn’t happen overnight. It took a lot of persistence and patience. So first, obviously, there are a series of legal and compliance approvals, which, are time consuming because DeepSights uses AI. There’s no way around it. There are a lot of questions technical questions about governance and privacy and security. Once that was all cleared, we spent this was optional on our end. We spent about nine months testing DeepSights before we felt comfortable launching it company wide. The tool has evolved and gotten so much better since those early days, and so so has people’s comfort level with AI. But internally, there there was definitely some skepticism on on our end, and we needed to overcome that. And honestly, if you think about it as an insight professional, insight leader, it’s kinda scary to turn over everything you have to a tool this powerful for ten thousand business partners when you don’t have direct oversight or engagement from from our team. And so while AI can be more than ninety nine percent accurate, you don’t want someone making million dollar decisions if it might be based on a hallucination. And we really needed to develop a high degree of confidence before taking that leap. So we began with the soft launch, partnering with trusted colleagues, AI adopters, early AI adopters who provided ongoing feedback on DeepSights. And as their experiences grew more positive, we gained the confidence to move forward. So, honestly, it was kind of frustrating for us how long it took to get to the full launch. I imagine it would be quicker now for a new adopter. But looking back, I’m really glad we took the time to do it right. Yeah. I can imagine. I mean, especially with AI, which is a, technology that’s moving at the speed of light, taking nine months to agonizingly test and retest and evaluate. Seems like sort of counterintuitive, but we got there in the end, and DeepSights is now live. So, I think it was around September twenty twenty four, if I’m correct, that it was launched at eBay, and then began your next phase, which is all about adoption and growing the use of the platform. So you, spoke about people’s initial hesitancy. Can you now just explain what were the best practices, that you employed regarding the training and awareness activities that allow you to drive AI adoption for a tool like DeepSights? Yeah. Sure. So there’s so many AI tools coming out every day. You really only get one chance to make a first impression, so we wanted to make sure that DeepSights and our team was ready. So first, we just focused on creating buzz and excitement. We made this fun nineties style TV infomercial all about DeepSights. We played a demo reel, various demo reels, and across our offices. We did a teaser in a town hall, and we also shared information about the launch in our internal news nighters. And then we knew we needed to support the launch with with training. Like, everyone at eBay was invited to join DeepSights training sessions, and one session even had a thousand people join. So our goal with the training was get people to use the tool right then and there, not bookmark it or come back to it at another point in time. That was our opportunity. We showed them the kinds of questions they could ask and how DeepSights could directly support their day to day work. And we surveyed the attendees afterwards, and ninety three percent said they plan to use it in their job. We gained more momentum over time with eBay’s president and senior leaders as they stopped started to name drop DeepSights, which helped to accelerate further accelerate adoption. But you can’t just set it and forget it. We continue to run regular training sessions, And even after a year, interest is still strong. Our most recent session had four hundred people, and we also offer, regular office hours for DeepSights where people can come in and drop you know, can drop by and ask questions, get a demo, share how they’re using it. And all of this, you get what you get out what you put in, and all of these engagement activities are reflected in our usage stats. Yeah. I mean, we saw just, I think, a few stats highlighted by Jennifer earlier, but I’m sure there’s a lot more that you’re seeing behind the scenes. And now that we’re, again, about a year out a little bit more from launching DeepSights, we saw, of course, that sort of exponential rise in the the the use, the number of users, or the number of assets being accessed. But, I’m curious from your perspective, what is the impact you’re seeing in terms of who is using the platform and how they’re using it? Oops. Sorry. You made it It’s really exciting to see how far DeepSights has come in such a short time. There’s definitely greater awareness of insights at eBay. And as owner of DeepSights at eBay, I’m always very pleasantly surprised that people I talk to, almost everyone, seems to know about it now, and their feedback is really positive. They tell me all the different ways they’re using DeepSights, often in ways and from Teams, I never would have imagined would have had a use for it. One person joked that they wouldn’t bother the insight team ever again because DeepSights already had everything that they need. We do monitor the usage stats, the numbers are very encouraging. I think we have we were up to twenty twenty two thousand two hundred eBay users of DeepSights who’ve asked over thirteen thousand questions this year. And if you think about it, that’s a huge shift. Just a year or two ago, those same people, where would they have gone? What would they have done? They might have spent hours digging through old reports, or maybe they wouldn’t have found the insight they needed. And now they can get all that information in seconds or minutes and and get faster, more insight driven, decisions that they’re making to benefit eBay. Yeah. It’s a I mean, it’s a it seems like a small point for you to bring up that there’s this name recognition around DeepSights, but I think it points to just a larger recognition and visibility for insights at eBay, which is ultimately, I think, one of the end goals of a a team like the the GCI team that you’re a part of. So it’s, very heartening to hear all that. At the same time, I mean, you said your colleague joked that they wouldn’t be bothering you anymore, but I’m sure that’s far from the case. As you said, this this AI adoption is not a destination. It’s a journey. So I’m wondering if you could talk a little bit about, besides just the amount of content or the number of users, how the platform is evolving, now into the future, and what kind of feedback you have solicited or received, since the initial rollout. Yeah. So it’s gotten so much better in an in a short period of time, both in how it works, in the user experience, and in what it knows, the information it’s equipped with to provide better answers. So our vision, again, is a single integrated insights ecosystem at eBay, one stop shopping for your insights connected to DeepSights. People are busy. They don’t have time to remember or know about all these tools or dashboards, so we wanna make it simple. Everything connected and accessible. If you know DeepSights, you’ll find what we have access to. And for example, if you think about the challenge of our our different sub services, we have a handful of them. Usually, they’re just a handful of five or ten power users in a silo, and it’s great for them. But there are thousands of other people who don’t even know these resources exist. So when we link those sources into DeepSights, usage increases across the company. And then when our subscriptions come up for renewal, we make them integrate with DeepSights. That’s kind of a mandatory condition. Why would we invest in these insights if we’re not making them available at at eBay? And then we’ve also expanded other content, integrating real time news feeds like n NPR, BBC. We connect RSS feeds also with industry publications like TechCrunch, RetailWire, and McKinsey. Now the answers DeepSights provides are so much richer, more complete, and more actionable than ever before, and we actively solicit feedback from our users on how they’re using DeepSights, what capabilities they’d like to see, what additional knowledge sources would make it even more valuable to them. And that provides a lot of good feedback for us to share with Market Logic so that you guys can incorporate it into the product road map and just this ongoing cycle of improved capabilities and interest and engagement from from our business partners, which is great. Yeah. I I think, you know, cocreation is really at the heart of what we do here, and and eBay has been a a great partner in all that. And that, I think, builds off all the work that you’re doing internally, of course. But you you sort of mentioned the other AI tools that make up this, you know, tech stack at eBay. DeepSights is, of course, just one AI solution, on the market. It is purpose built for insights, but I imagine there are a lot of other tools being deployed and and scaled up at eBay. So I think this conversation, would be remiss to not talk about that broader AI, ecosystem. So, could you share a little bit about your plans to ensure that there is connectivity between DeepSights and other AI tools? Yeah. There there are so many new AI tools coming out that eBay is permissioning and making available to to our our workforce. And just every day, we don’t even know what they’re gonna be. And so it’s really important that DeepSights stays connected and part of that broader conversation. DeepSights like you said, DeepSights is unique for us. It’s the only one that has direct access to a decade of our own proprietary research, thousands of our own reports and insight summaries. And, also, it’s also unique in that it has real time access now to our external information subscriptions. So as part of our vision for an integrated insights ecosystem, we’re focused on connecting DeepSights with the other AI tools at eBay rather than having lots of different information or AI silos. And some of the things we’re doing to help with that are, you know, partnering, often connecting, liaising with other tool owners at eBay to make sure that our tools are working, that we’re not duplicating effort, and that we’re aware of whatever everybody else is doing and not creating more AI silos. We’re also embedding DeepSights into eBay’s global AI training and AI resources so that people know what it is, how to use it, and how it complements or feeds into other AI tools across the company. And then we’re working to integrate DeepSights to our hub and other central platform to make access and discover more simple. So we see DeepSights as the insight intelligence layer of eBay’s AI ecosystem, working with other tools to help people make faster, smarter, and more informed decisions. But where that journey is taking us, we don’t exactly know, but we we are part of we are definitely a big part of of that journey. Yeah. I think your point about AI silos is really important for people to keep in mind because there is so much buzz and excitement around different tools. There’s this rush to start using them. But if in the process of doing that, you’re creating silos where they aren’t able to speak to each other or, aren’t connected to other platforms within your organization, it might be, more of a detriment than a benefit. So I think, it’s a very good approach that eBay is taking. I wanna just finish up with, just a broader question about, you know, going back to the culture at eBay, before we move into our q and a portion. So, yeah, to wrap up, what could you share about the impact you’re seeing? How AI tools like DeepSights are changing eBay’s culture and, general ways of working? Well, the biggest shift we’re seeing is in how people think about and access insights. You know, not long ago, stakeholders, they were accustomed to asking and then waiting, often weeks, for insights. Now they expect to find it instantly. DeepSights has made insights far more accessible, part of our everyday work. People can check facts, validate ideas, make decisions, and close to real time, allowing the insight team to focus on deeper, more strategic work. So it’s not just changing how people find insights, but also how they use them. Great. I think that’s a very nice note note to end on, and I’m sure, you know, other insights professionals in the audience, would like to hear that, you know, being freed up to do more strategic work is is so important, and allows the insights teams to really be a strategic partner in the organization rather than just a general custodian of knowledge. So thank you, Seth. That was really you covered a lot in in, you know, just twenty minutes there. Let’s move into the q and a portion now. If anyone has questions for Seth, you can still submit them. I’m gonna bring Jennifer back on stage now, so she can answer a question or two as Hi, Jennifer. Hello. You’re back. You’re clear. We can hear you and see you. That’s all good. Well, let’s begin this q and a session or section with a question for you. Again, just to we’ve heard eBay’s perspective now and and seen a little bit of the inner workings of of how they’re rolling out, DeepSights. But you did mention that currently, they are one of the top top customers and not maybe the number one customer at Market Logic in terms of the number of users. So I wanna just, focus on that for a second and hear from your perspective what you think are the top factors that are distinguishing about the way eBay approaches insights. Yeah. Absolutely. I think there’s a few key things. The first really is leadership support. So, leadership has, we have a shared vision. They support Seth and his team and everything that they’re trying to do with the platform. And we have a strong top to top relationship with with Olaf and some of other of our, key product members where we have quarterly meetings, if not more, to make sure that we’re continuing to align on our vision moving forward. And, also, as this whole presentation has been about is that really that AI driven company culture, eBay has one of the strongest that I’ve seen. AI tools are really embedded in their everyday ways of working across the organization, and having that, be part of the insights organization is no is no different. So I think that’s really key as well. Also, does a great job of leading and owning all their training and communications. They do trainings one every one to two months depending on what’s happening. They have great presentations. They have this awesome infomercial type video that I I’ve watched, like, five hundred times because I think it’s so funny. So it’s it’s really a grassroots effort, and and everyone’s, on board. And they also do various newsletters where they link content consistently back to Insight Central. Seth has and his team has, the platform as part of their signature. So all of that is really fostering that culture that we talked about. And then finally, we we do meet on a regular cadence. We have a joint success plan that we, continuously evolve, and we have goals that we try to accomplish every quarter. So Yeah. Overall, I think those are the the key things that makes eBay number one right now in DeepSights. So very exciting. Yeah. There’s there’s, a lot of growth, you know, we look forward to eBay continuing to, you know, not rest on the their laurels or anything and continue that upwards climb. But we’ve we’ve kind of mentioned a few times now these trainings, the office hours, the different, kind of communications that you have internally to, draw people to the platform, Seth. But, obviously, eBay is a huge global organization of, I think, you said ten thousand plus employees. So I’m wondering how you approach, these trainings, and other adoption activities to ensure that they are relevant or tailored to different stakeholder groups that you’re speaking to. Because, obviously, someone in marketing versus product versus, other departments may not be operating from the same exact use case. So I’m I’m hoping you could, explain a little bit about how you tailor to different stakeholders when you’re running these events. Yeah. So we we make ourselves available for lunch and learns or team meetings where we can really drill down with more customized questions. So we’ll ask them what they’re interested, what some of their challenges are, some of the things they’d like to know, things that are on their mind. We’ll customize the questions and the the learnings to based on their needs and and their interest so they can see the impact of it. But, also, this feedback, this engagement is really helpful because we’ll ask them, what are the types of things DeepSights should know? What are the sources? And we’ll give them the list of industry publications and RSS feeds. And then based on their feedback, we’ll integrate sources that are specifically relevant to each team so that when they come back a few days later and ask questions, it will be equipped with the insights that are most relevant for for their audience. So it’s kind of like a living, breathing, evolving process based on feedback. We really thrive on the feedback and engagement because if people didn’t tell us what they wanted it to do, it wouldn’t be as good, and we wouldn’t know More of the capabilities or the sources that we could bring to to DeepSights to better serve them. Yeah. I think that’s a good explanation of this sort of two way relationship, and it also, seems like it gives your team some oversight into, you know, what information in the platform can benefit who. So you are sort of an active active member of their journey, even though, obviously, DeepSights is a self-service tool. You’re you’re still, very much in support that way. Yeah. We have a question about building trust within the organization. I think this was definitely, something that came up a lot when we first brought DeepSights to market and customers were first deploying this because of the the hesitancy around, AI. It seems like eBay has a certain level of comfort with AI tools, but I’m wondering who were the champions on the business user side of things within eBay that you reached out to? How did you, select them, or what was their role, as sort of the business counterparts to this, adoption process? Well, we reached out to a number of our good partners and see who had interest and and time, and we weren’t necessarily sure. But then word-of-mouth or a couple people we thought might work with us were busy or had other priorities and others kind of immersed. And what we found being helpful is the the transparency about how it works, that it lists the sources that that it we equip it. We decide what goes in, and we equip it. And any additional data sources, we can decide to turn on or turn off. So there’s no there’s no there’s no mystery. And through this process, you know, that helped as we built momentum, talking to more partners and more teams that weren’t necessarily publishing their insights, the UXR team, other groups who we had not connected with previously, that momentum kind of got their piqued their interest, and it’s like, oh, we wanna be part of this. We want our insights in here too. We want our business partners to to leverage this till we see the benefits. So it kind of there wasn’t necessarily a clear I you know, you don’t necessarily know how things are gonna go are gonna evolve in such a rapidly changing space, but the conversations and the engagement kind of shows you shows you the path forward. Help help in our case to to build credibility for for the activities. You know, I’d always like, at the beginning, it would be like, maybe it hallucinated or misinterpreted some finer point, and I’d get an email like, this output is wrong. And it’s like, okay. Well, I’m glad that I’m getting this, you know, in the early days from a trusted partner, and then we’d send the feedback to Market Logic and say, like, it’s not reading this correctly. How do we fix this? And and so that’s that’s that’s the type of input that helped us over time to be more confident in in the outputs that it was providing. Yeah. Yeah. I think, obviously, now that it’s live and it’s growing, you want to be driving adoption and focusing on the ease of use and the accessibility of a tool like DeepSights. But, I think it can’t be stressed enough how the beginning stages of really going through and fine tuning and tweaking, how DeepSights works, before you launch it live. I think it’s it’s very good due diligence, and and AI governance is a running three theme, through all our customers. I think maybe one more question for you, Seth, before we wrap things up. In the last question I asked, you did mention that, you know, now that insights teams aren’t always responding to business queries, now that there is this culture of self serving answers at eBay, that there that your team has more time to focus on other tasks. Do you have any sort of examples of what what that looks like? Like, what are they spending their time doing if they’re not now that they’re free to to not be answering business questions from different stakeholders? Well, I would I would say there still aren’t enough hours in the day, but now there’s this culture of we ask people. I’ve heard it used as, like, have you DeepSided it? So people come we know that a lot of questions are deflected before they come to us, or people are much better prepared or informed with a more thoughtful question when they do come to the insight question with something they’d like to explore. And and so I think that really shifts a lot of the conversation from a lot of just, like, what we often call, like, ankle biters, time wasters, people like asking easy questions that we already know the answer to. Yeah. Yeah. Yeah. Very, very happy to help in some way to to, give you guys that peace of mind. I think we’ll wrap up five minutes early here. So I don’t know if you have any closing thoughts, Jennifer, about, you know, where you wanna see, this partnership with eBay go in the in the future. Maybe we’ll, you know, have a a webinar a year from now. So what do you want to really really have changed, in the next year? Not that you have a crystal ball or anything. Yeah. No. I do. I do have one. What I think what eBay has helped spearheaded with us is we do a lot of innovation, things with them. And I think what we’re seeing across our customers is that ability to connect to everything else that’s going on in the organization. Right? So insights is a very important piece of the puzzle, and how do we make sure DeepSights and and other information from the platform is seamlessly pushed and pulled throughout the various other AI functions or partners that have AI that we use. And we we do have tools, to allow us to do that. So I think next year, we do another one of these, it will be how we were able to seamlessly connect with the larger ecosystem. And I think we’ll have more and more of those those stories As we as people build stuff in house and use their partner tools. So I’m really excited to see where that goes. Yeah. I think that’s a great note to end on. You know, AI to AI communication is the next frontier, it seems like. And I I think in in summary, I liked how you phrased this insight central, as the intelligence layer at eBay. I mean, insights is always the sort of lifeblood that should run through a commercial organization like eBay, and we see AI and DeepSights as simply an accelerator of that. It takes all the good insights and and work that your team is doing and just democratizes it. So, that was great insight into how eBay has has made their rollout of AI so effective. Seth, it’s great as always to hear your perspective, and I appreciate you taking the time, to sit down with us. To everyone in the audience, if you wanna check out our other events, you can look at the links tab in the bottom right hand corner. I think that will be it from us. So, Seth and Jennifer, you can give a wave, and I will conclude this event. Thank you all for joining us, and we’ll see you again soon. Bye.