0:00 Hello, everyone, and welcome to our webinar today on the Bazaarvoice road map. Let me share my slides here so we can get started. 0:08 Just a quick introduction of myself. I am Marissa Jones, the SVP of global products here at Bazaarvoice. I'm part of our executive team. I have had the pleasure of the last few weeks traveling around the world, talking to clients at our Bazaarvoice inspire series in London, in Paris, in Amsterdam, in Chicago, in New York. 0:28 And I'm so happy to be able to bring this online for those of you who weren't able to join us in those sessions. So you also can hear about what we're building in the future that we've planned out. 0:39 A couple things before we get started. Three things I wanna cover. One, as I go through the slides today, you'll see a little call out on some of the slides that say win with AI, little circle. 0:49 And as a business, we're very focused on making sure, again, we're setting you up for success in this new world of winning with AI. 0:58 There's so much changing in the landscape, around the large language models, right, the LLMs, what's what's changing in terms of consumer discovery and shopping and all of that. 1:08 And so, again, we're moving quickly to be able to respond to those industry changes. So I'll call out the features that we really feel like will set you up for success in that changing AI landscape. 1:20 I also did wanna call out we're going to have a webinar on November twelfth where you can hear a little bit more about AI strategy, how we're kind of viewing the world, and you can go and register for that with drug Doug Straton from our our CMO and chief customer evangelist. 1:37 The second thing I wanna cover off on is in the road map slide. I know a big ask from clients is always around dates. When it when is it coming? 1:46 And so on the feature on the feature slides, you'll see a call out to specific timing if we do know it, right, if it's near term. 1:54 If it's longer term, you'll see things like the seasons called out. And so I'll give a little more context on the timing there. Some things are are even further out, and so I'll just give context on if there's gonna be some iterative development typically along the way. 2:09 And then lastly, one status you'll see on some of the road map items is experiment or pilot. And at the end of the session, you'll be able to sign up for the innovation lab, or then you can sign up to be a part of those experiments and pilots. 2:25 And so, you know, as a product leader, I love to have clients join those so we can get your feedback early. That's why I always say it's the best time to provide feedback because we're starting out that development. 2:36 We're doing our research. We're talking to you. But if we can get you live clicking in prototypes and early, again, pilots that can go live on your site, then we can learn a lot more and get your feedback in into those features early on. 2:49 So please do sign up at the end for the innovation lab. Alright. With that, let's jump in. Alright. 2:57 So at Bazaarvoice, it's really our job to make sure that we're watching how the consumer journey is evolving. If you look back at the history of this company, we're about twenty years old, and we have that foundation in ratings and reviews. 3:09 And back then, the customer journey was quite simple in terms of the online experience and how consumers would discover your products. But over those twenty years, it has evolved so much, as you know. 3:21 Customers are learning about your products in all sorts of different places. They're learning about them from maybe creators or influencers that you're working with. 3:30 They're learning about them from consumers you didn't even know were fans of yours who are posting out on social. They're learning through advertising, email, all sorts of, again, outlets, and now even more so learning from AI as they start to search in a new way beyond just using your old SEO techniques. 3:48 And so we know that the shopping journey is anything but linear in terms of the steps that consumer take as they discover your brand, make that consideration, and then ultimately drive the purchase. 3:59 So that's why at Bazaarvoice, it's important to us to build out that product set to make sure that we have all of the right content in the right places that your consumers are so we can help them make that informed purchase and drive sales for your brand. 4:15 Like I said, our foundation, if you look at our product set here, is really in ratings and reviews. We continue to make extreme investments in the upcoming months and really, again, double down in that space as we see the opportunity, with AI. 4:29 But we continue to expand and think about, like I said, all those other destinations and make investments in the likes of social analytics to understand, again, how you're performing those insights. 4:41 But one of the key things about Bazaarvoice, of course, is the syndication network, which allows for your content to show up in so many places if you're a brand. 4:50 If you're a retailer, you're on that receiving end of getting all of that rich content from all of your vendors and partners that you work with. And so it's that thirteen thousand brands and retailers that are really the core of our solution, you all, that really makes this all come to life. 5:05 For today's roadmap, I'm gonna tell it through the story of a consumer named Jenna. And then we'll talk a little bit about things from the client perspective. 5:16 But Gina is a hardworking mom. She's got a lot to do, a lot to juggle, and so she's really trying to optimize for saving time. 5:26 Right? She needs to make the most of anything that she's doing. She also has a family that she's trying to take care of. And so, again, she needs to optimize for what's best for them. 5:34 So she really wants to make sure she's making informed purchases and decisions when she's out shopping. I will say as I walk through this consumer journey, I've used a direct to consumer brand. 5:45 So you can really think about these features being applicable to you if you are a brand that maybe is only selling through channel. A lot of these features still apply if you wanna put them on your site. 5:55 But there are some that are then also just more, I would say, retail specific if you, again, are are trying to drive direct transactions on your site. So take a look at kind of the lens from your angle as we walk through this consumer journey. 6:10 Alright. So as Jenna starts out her day, she's trying to plan out a meal plan for the week. 6:18 And so she's using new technology, of course, like the likes of chat GPT or Gemini, and searching out on this LLM, asking for a meal plan. 6:27 And, of course, we're seeing more and more, again, this change of consumers aren't just typing in these keywords like meal plan into the search bar, but they're able to ask really rich questions of LLMs and get really rich detailed answers back. 6:41 And in fact, we're seeing, again, seventy nine percent of consumers are expected to use this type of AI enhanced search in the next year. So this is a growing channel that you really need to make sure that you're showing up improperly when a consumer like Jenna is out there searching. 6:55 So she searches for a meal plan, which then, again, it comes back in seconds with great detailed results in terms of what she can do day by day for every meal. 7:05 And so, overnight oats is something that catches her eye in thinking about breakfast planning. So she asked again to to learn more and for product suggestions of what she can then buy in that space. 7:18 And that LLN comes back with a recommendation on some products that she can choose from. Now this is getting more and more important in your space because, again, we see that LLMs are only surfacing, you know, a handful, of product recommendations often when it's coming back. 7:34 And so your brand or product showing up there is quite important for you as a a retail destination. So one of the key ways that Bazaarvoice is helping in our road map to then make sure that you show up properly is investing more in this generative engine optimization support. 7:49 So the way this works today, of course, for SEO is the search engines are coming and, going through your site, looking at the content so we make sure it's structured properly in the right schema. 8:00 But as we look at, some of these new LLMs like OpenAI, they are, unable to read the JavaScript if you're using our hosted display for ratings and reviews. 8:10 And it's just that their technology is not as as advanced yet as maybe some of the others like Google who can read JavaScript. So we imagine that probably that technology is going to catch up. 8:20 But in the meantime, we also wanna make sure that your content is readable, beyond, you know, again, the first page of reviews, looking at questions and answers, all of the that content that you can feed up to those LLMs as they search your site. 8:33 So we're working on this generative engine optimization support, again, to make sure that the ratings or reviews and questions and answers are are readable and detectable on your site. 8:42 We'll be working on that the next couple months. So, again, through winter, looking at this in early January for next year. So Jenna clicks in on King Oats. 8:54 This is the brand that we're gonna walk through for today. As she comes into the King Oats site, then as she clicks off of the LLM, and, again, it's now on the King Oats website, She's actually given this opportunity to take into consideration two different flavors of those overnight oats. 9:10 And so she's seen a blueberry flavor and a banana flavor. And she needs a a little bit more information to kinda understand which one to choose. 9:18 First off, you're going to see this little badge that's up above the blueberry one there on the left that says best seller. And that's actually powered by Bazaarvoice contextual commerce. 9:28 So contextual commerce is looking at the behavioral data of shoppers as they come to your site, analyzing it, and determining, you know, what is the right moment and the right campaign or message to be able to deliver that we think is going to drive that delivery of ultimately a sale. 9:45 In this instance, it's really helping to drive upper level, again, consideration to get them down to the product page, to then purchase. So it's playing a little higher in the funnel. 9:55 In this scenario, it it pops this message around best seller. So this is, again, dynamic product listing page badging from contextual commerce, which is it's coming soon, which we've been working on. 10:09 Next step. Again, she's still on that product listing page, but she wants to understand a little bit more about the product. She understands now that the blueberry one is the best seller, which really catches her eye. 10:19 She's even noticing the ratings of both of the products, which is fairly similar, and she's noticing the number of reviews. But, actually, if she clicks on the stars, which, technically, there's a little, arrow that shows up so the user knows that it's clickable. 10:34 But she's able then to see a review summary of what consumers are saying in their reviews about these products, again, at this higher level at the product listing page. 10:45 So a lot of times, you see these review summaries on the PDP, right, on the product page itself, which we also provide. But this is just bringing it one level up again to help drive consumers higher up in the funnel when they're still considering different options. 10:58 So that review summary pops up, and she's able to get more information. I will say we did some consumer testing around review summaries. We saw ninety four percent of them said a review summary generated by AI would be helpful when looking at products online. 11:12 I think you're starting to probably see this yourself, but it's really becoming sort of a a must have of the modern day ecommerce experience. 11:21 As far as its availability, it's available today. Review summary is on the product listing page or on the product page, in English. It's also actually already available in the API in French, German, Spanish, and English. 11:34 And then it will be coming in just a few days, so it should be available by next week then for you to use, again, those languages in the hosted display for ratings and reviews if you're using it. 11:48 So she decides Blueberry is gonna be the one that she's gonna learn more about. Right? She's read the review summary. She's already been influenced by that contextual commerce badge of understanding it's a best seller, and so she clicks in to learn more. 12:02 As she comes to the product page, she notices these videos, which I will say for the webinar. We've gone ahead and and frozen the video just for performance purposes on on the webinar. 12:11 But, again, she's seen this rich gallery that has content that can be photos or videos that are displaying there from social media. 12:20 And so she goes ahead and clicks on these, and one of the videos then comes full screen. So it also can autoplay if it's already in the gallery that you're seeing there. 12:31 But, again, it becomes this immersive gallery that then fills the screen and is that same experience that Jenna's used to out on social media where, again, it is taking up the full screen. 12:42 It also auto scrolls to the next one. You can swipe up to go to the next one. Right? It's that user experience she's used to, that that she really loves. 12:52 Also, within these galleries, you can tag the products that are being featured. This is great, especially if you are using it on a home page at the likes of, like, an inspirational gallery, then you can drive the consumer down to their product page. 13:06 In this scenario, it's actually, available to then add to your cart. So, again, if you are using Shopify, you can directly connect in your catalog there. 13:16 And then, again, the consumer can click, like, where that shop button is. That that would actually be, like, an add to cart. So that product will go directly into their cart. 13:24 If you're using a different ecommerce platform beyond Shopify, we actually are running some pilots, with some of the other platforms. So do just talk to your, client success manager to learn more. 13:34 But, again, this is helping to shorten that that consumer journey to help them drive to purchase. The video will also minimize down. 13:43 You can watch it picture in picture. So it's quite an engaging feature set. Please do talk to your client success manager if you're interested in in seeing a live demo, of how rich those videos are. 13:52 It's actually quite wonderful when you get to see a live. But let's talk about, again, some other videos that are on the page. So for Jenna, again, she she's a tough consumer. 14:01 She wants to take in all the content. It works quite well, especially for a demo like this. And so she wants to see what else is on the page because, again, she wants to make the right decision for her family. 14:11 So she goes and actually notices there's additional videos on the page, and these are actually sourced from reviews. So this is available today. 14:20 But if a consumer comes to your site, leaves a review, they can attach a photo or video that they directly upload. Also, there's the availability to include a a link to YouTube or YouTube shorts. 14:32 And so, again, this is augmenting that text based review and rating with more visual styles. Now Jenna clicks in. 14:41 We actually have used the the same kind of video in the demo here, but, again, this is a video that's attached to a review. So when she pops up, she's actually multitasking at the time. 14:50 She's sitting there with her husband on the couch there watching the world series. And so, again, she doesn't have the sound on, but she's able to see the caption of the video because it's closed captioned. 15:01 And so, again, she can understand what the reviewer was saying without having the sound live. I was gonna say this is also available in terms of the closed captioning in our social commerce video. 15:12 So back to that previous example, the immersive social galleries. What we find a lot of times that clients want to be able to mute the videos, particularly that they're trying to avoid any sort of copyright infringement if the, user has used copyrighted music. 15:27 So you're able to mute that audio, but, again, then insert the closed captioning so you're able to then, again, understand, like I said, what the reviewer is then saying in either of those videos on social or on, your reviews. 15:40 So it's quite helpful and then also, again, helps with, just accessibility to your content overall. Alright. 15:49 So Jenna keeps looking at some other content on the page. One item that she had noticed was actually this badge. That's this authentic reviews, the little check mark, the shield, Bazaarvoice. 16:01 So she recognizes this check mark and shield as signs of trust. Like, this is iconography that resonates with her. Obviously, authentic reviews as statement she understands. 16:12 She doesn't actually know what Bazaarvoice is, but she does recognize it as a third party that's doing some sort of validation on these reviews. 16:20 And that's actually an anecdote that we learned in our consumer research as we revamped what we call the intelligent trust mark. So the trust mark was launched almost twelve years ago as a sign of trust, again, to consumers doing to do exactly what I kind of just described in that scenario is help consumers recognize that your reviews are being moderated and authenticated so that they can trust them. 16:42 But we have launched in the last couple months, again, this new intelligent trust mark. And we did that based off of consumer feedback on the design. 16:50 So that information I gave about the iconography, some of the lessons about, should we put our name on it? Should we leave our name off of it? How how should we be presenting that type of thing? 17:00 Again, we redesigned it so it resonates with consumers, in the right way. And then it's also intelligent because, again, to be able to put this trust mark on your page, you need to meet certain criteria that then, again, we feel comfortable putting that, mark on your page. 17:16 So you need to be following our authenticity policy. You need to be, again, making sure all of your content is properly moderated, again, to policy and whatnot. 17:26 So it's intelligent in that it's really detecting if each product rather than just, again, as a site if you meet those needs, but per product, if you're meeting that criteria based on the content attached to that product. 17:39 And so then it will dynamically then display the intelligent trust mark. And that may be sometimes we saw examples where there was a particular product for some reason that didn't, meet the criteria. 17:50 And so, again, we wanted to drive some flexibility that still extended that trust and that you're meeting those, again, the the bar we're setting around authenticity so we can drive that trust to consumers. 18:01 But, again, if there's one product that, for some reason, didn't meet that, again, we won't we just won't put the the trust mark on it. So, again, this is really helping shoppers like Jenna then, again, feel trusted about that content. 18:14 So, again, in our consumer survey, we saw this ninety two percent of shoppers that a trust mark would influence their decision to buy a product. So, again, it's just really building overall brand trust with you, and then, again, helping to drive to conversion overall. 18:31 Alright. Next up. So Jenna then comes down. She wants to ask a couple questions. But, actually, she sees someone already asked this question. 18:40 So the question that was asked was, does this product contain nuts? And to tell you the truth, King Oats had actually already specified this up in the product details. But Jenna, you know, quickly jumped down to the consumer content. 18:51 She actually didn't read all that helpful information you provided to her at the top of the page about all the the product ingredients and whatnot because she was so quickly looking for that consumer content. 19:03 So she sees this question, does the product contain nuts? And King, Oates has provided an answer, and it does not contain nuts. 19:11 And it is bad that this is a an AI based answer. And that's because King Oates, actually, to help them save time, was using a Bazaarvoice feature on the back end in their Bazaarvoice portal to answer this question. 19:25 So if we have Bazaarvoice, again, based off of looking at other questions from consumers, from reviews, from those details, again, you so hopefully provided to Jenna, but also potentially in your product catalog, we can source the answer. 19:39 We'll help generate an answer then that your agent, yourself, again, can go ahead and either edit if you want to in the portal before you push it live, or you can go ahead and approve it and push it live. 19:50 So that's really gonna help you save time, again, by making sure that you can, again, quickly answer these questions at scale based off of, like I said, a lot of the information that's already there. 20:01 So this is one that we're gonna be launching broadly in November. We've been piloting the last couple months. And then, actually, we'll probably continue to add some functionality to it along the way as it continues to to get smarter and stronger. 20:13 But do take advantage of this if you have the q and a in your package. Alright. Moving on. 20:22 Jenna, again, she has another question. She didn't see it actually asked out there. In this scenario for king oaths, the overnight oaths, they're actually individual cups. 20:31 And so she asked this question of, you know, can I compare come sorry, prepare them in a larger batch? And so she's able to ask this AI shopping assistant that's directly on-site. 20:42 It responds with an answer that you are able to do that. And, again, so she can now sort of quickly be on her way. She's getting all that information she needs even if it's something more personalized for her that wasn't, again, already stated on the page. 20:55 In this, what is an experiment today, this is something that is, in this example, a Bazaarvoice hosted AI shopping assistant that we are actually, experimenting with and, piloting right now if you're interested for the next couple months as we learn more. 21:12 At the same time, seeing a large trend in clients, of course, building their own AI shopping assistance on-site. And so that may be taking into account more than just, again, asking some questions like this, maybe support questions, things that are just broader on the site. 21:28 And so we're actually working, on the ability for, again, Bazaarvoice to connect their APIs into those third party AI shopping assistants so that you can easily source ratings and reviews content in a similar way to this example. 21:40 So really sort of building two two methods depending on your needs. If you're investing in your own AI shopping assistant or you'd like to, again, just do something more directly related with Bazaarvoice, like, to the the product itself with reviews. 21:55 If you are interested in those experiments, again, please do sign up for the innovation lab. We'll showcase at the end or talk to your client success manager. 22:06 Alright. Continuing on. So, Jenna, again, she's taken in so much content. Like I said, she's a she's kind of a hard sell in this scenario. 22:15 Like, she really is doing so much research to validate everything. But she's near the end of her journey, and that's what we use contextual commerce to kinda push her over the edge. 22:26 And so in this scenario, you see this campaign that pops up, but showcasing that this is actually a really popular product. In fact, a creator was just posting about it who has over seventy eight thousand followers. 22:38 And so, again, she's already, you know, really been, pushed in this direction of understanding that it's a top seller that, again, consumers really like it. 22:47 It meets all of her needs. And so this little push, again, which we, showed at the right time based out of our analysis of her behavioral data, then it's what really starts to put her over the edge. 22:58 And so she decides she's ready to to make a purchase. So I will say with contextual commerce overall, we see about a seven point four percent average revenue per session lift when using it. 23:10 And, again, I I've used this example, this combination of the social content, combined with the contextual commerce delivery, but it can deliver all sorts of messages if you think of that fear of missing out, that there's, you know, low inventory or the lowest price you've seen in a certain number of days. 23:28 Right? There's all sorts of different campaigns you can run. But, again, the power in it is that it's just not constantly bombarding a consumer. It's actually only showing the message if we think it's appropriate and we think it's going to drive that conversion. 23:41 And so, again, we can really help drive up your sales and complete that conversion. Alright. So fast forward a little while. 23:52 Jenna has made her purchase. Again, we we sold her on the the keynotes, the blueberry in particular. Right? So it's shipped to her. She's enjoying it. 24:01 Her kids are enjoying it. And a couple weeks later, she is out on social media watching some TikToks, and she gets a notification from King Oats asking her to leave a review about her experience with the product. 24:14 And she's happy to do so. She's actually quite enjoyed it. But like many consumers, she's just not exactly sure what to say. So one of the ways that we've solved this at Bazaarvoice is with the AI content coach. 24:28 As we did research with consumers, like I said, we we saw that pattern of consumers just not really knowing where to start. The downside of this is not not content coach, but when consumers don't know what to do is that, again, they'll write some sort of review, like, I like the product. The product is great. 24:45 That is not going to be very helpful, one, to other consumers. Again, especially if you think about it in the AI world, you need to be giving those LLMs richer content with more context. 24:56 So when other consumers like Jenna ask about meal planning, ask about nutrition, and things like that, you have that content served up in those reviews. 25:06 So extending the, again, that richness, the character count, like, what's talked about in those reviews is really critical to thinking about even that, again, up funnel AI strategy. 25:16 So with AI content coach, what you'll see here on the screen is the submission form. You know, Jenna's given us five stars, and then she's coming in and looking at the AI generator review tips. 25:26 So you'll see these tips are unbiased. So talk about taste, nutrition, and others. And so, again, this idea is as Jenna is typing again, I know this is a a flat image, so you don't see it in real time. 25:40 But as she has typed in that text of her review, then the, again, the key category then has been highlighted to help her recognize that she's talked about taste or she's talked about nutrition. 25:53 And so, again, it's starting to resonate about these topics that she's already hit on. And so it's really gamifying the review writing experience, and, again, sort of, like, pushes her to engage and and hit on some of those other topics. 26:05 So we saw that this is, you know, driving a a five percent review body length increase. And like I said, really giving you the those rich reviews that you need to feed to LLMs and that consumers are just looking for, in terms of, again, helpful reviews that provide more context. 26:20 So this is available today in English for ratings and reviews. It's also available as part of our, actually, sampling program out on Influenster too if you're driving any sampling campaigns. 26:34 Another way that we've actually, just about to release, I should say. I was not gonna say just release, but just about to release is then the voice to text reviews. 26:42 So this is actually just a real simple way that, again, we wanted to just go ahead and add to the interface. But seeing you know, again, if consumers as they, you know, live more and more in a world of voice memos and things like that where they just want to quickly, again, push a button, record their voice, this will then, actually translate their voice into text. 27:05 And so, again, they just don't have to write it right in the review. So just, again, simplifying the effort it takes to leave a review. So we're just about to launch that. 27:13 Those voice memos, which I was kinda referencing as, again, more of a just trend more broadly, is something that we were looking at in testing and doing some consumer research on. 27:24 So for now, we're just gonna go first with the the voice to text translation to be able to put that again into the box. Alright. 27:35 And then thinking more about the quality of the reviews that your consumers are leaving on your site. We're thinking beyond just the text based, which you saw, again, the AI content coach really helps provide that improvement in the text based review. 27:48 We're thinking about how to improve the quality of the photos and the videos that are attached to those reviews. And so in this scenario, what you're seeing is then as Jenna has gone to add a picture then to the review, it's actually prompting her with some ideas on how to make sure that she submits a a quality photo. 28:09 And so it's giving us example. Right? Prep breakfast with me. Showcase your meal prep skills. And these are actually AI generated ideas of then how you can showcase the product. 28:20 And so we're really constantly trying to coach consumers on making sure that the product is the center of attention, that they're giving the context, right, of the product, again, to make sure that these photos and videos are helpful to other consumers. 28:33 One thing I will say is a lot of times the photos and videos that come from social really see us inspirational, where the photos and videos that are attached to reviews are a lot more informational. 28:44 And so, again, how can we kinda meld the two together? And, again, we display them in different ways, but we need to get that informational photos and videos sometimes, like, just a higher level quality because you may you may have seen this in your own products, right, where they take a picture of the products, sitting on a table. 29:00 You obviously want something that's a little more engaging as do other consumers. Right? It's not quite helpful just to show me the product sitting in the box, but show me how you're using it. 29:09 Help me understand the context, like, and all the things about it. So, again, bringing this to life, and experiment today in ratings and reviews. 29:17 This is actually, again, something we have available, as part of our sampling campaigns today in Influenster. Alright. So Jenna is the perfect consumer. 29:30 She has left a review. She's attached a photo. She attached a video to that review. She also posted out on social. She posted a video. 29:40 Then all of that content came into the Bazaarvoice system where we moderated it. Again, we badged it appropriately, put that trust mark out on on the product as we validated the authenticity around it. 29:51 For social, we were able to capture the rights. You can do that by either commenting on the photos, like, out on, Instagram, for example, or you can do that directly through DMs now on Instagram, to be able to interact with the consumer and gain those rights. 30:06 We match the products. So, again, we're able to send it out to all the channels that King Oats sells those products, and it's, again, syndicated to that network, as I said. 30:15 So it only not only goes back to their own site, but, again, goes throughout that network. So let's talk about some things from the other side. 30:23 So that was Jenna's consumer journey and really thinking a bit about your shoppers and all those features that you need to tap into. But let's talk about it from the client perspective. 30:33 And so I will say as I walk through quite a few of these insights, they're pretty heavy on the brand side, so I recognize them. The audience all have brands and retailers. 30:42 I will say there's quite a few that focus on the network. And so as the brand is understanding, like, again, how they perform, within the network, that's helping to drive a lot of value if you are a retailer on the the destination end of all of that content. 31:00 So get a lot of value about a lot of the things we're we're helping brands understand about the network and and drive improvements in their program. But we'll also say for retailers, one of the things we look at is a lens of now more and more retailers have focused on, you know, private label or owned brands. 31:17 And so, again, a lot of these, insights then can be applied to those owned brands, in terms of being able to understand how your own products are performing and driving your your own improvements just as you you hear from consumers and their sentiment. 31:30 So I'll talk about that, but I just wanna give a little context as I start to jump into these. So first off, Kingotes comes into the Bazaarvoice portal. 31:39 What they see is this new program overview. So this program overview is giving a high level understanding, again, of how they're performing across some key metrics that are important to them in their Bazaarvoice program, thinking about, again, how many reviews have been collected, what is the coverage on their site. 31:57 And so they can kinda get this quick glimpse and understand where to take action, how are they trending over time. Is there are there something, again, they should be worried about or something going well? 32:07 Then they this is really a high level area for them to be able to, like, click in and then take action. One of the items on this page I wanna point out is in the top middle there, the estimated network revenue. 32:18 And so this is actually, a new data point that we're working on. Again, from the brand perspective, trying to then be able to showcase how a brand like King Oates is then performing out in channel. 32:29 So let's go ahead and click in to understand that a little bit more. So on the estimated network revenue impact, again, King Oates wants to understand what is the value of all that content that they're syndicating out to the network. 32:42 While that's hard to see today, what we're doing is working on a model that will help us estimate, again, what we see as the revenue impacts out throughout that retail network. 32:53 They're able to understand sort of how many matches they have there, again, the details throughout that the network, but, ultimately, understanding the value so they can either, again, improve on their own program, know where to invest, or, again, they can also use this in talking to procurement about the value that their program is driving. 33:11 Right? We see this from a couple different angles in terms of the ask that we see from, our clients today. So this is one that we're working on in the short term, to launch quite soon then around visual syndication. 33:23 So if you're syndicating any of that social content you source out to the retail network. And then beyond that, then starting in early next calendar year, then we'll be looking to launch this around ratings and reviews and then sampling of reviews in particular, to be able to explain that value. 33:43 So King Oates actually has another place in their network that they, noticed that they don't have reviews showing up today, but they're quite interested in understanding more, and that is TikTok. 33:54 And so today, if you're selling out on TikTok shops, TikTok does allow for the syndication of verified purchase reviews out to their shops. 34:04 So we're actually in active discussions, getting close to, signing off on this with TikTok on a partnership there. So, again, your verified purchase reviews can then be consumed into your TikTok shop. 34:15 And then we're looking to again, we need to build out an app then that goes around this that you can then download as a a vendor in the TikTok marketplace to be able to source those reviews. 34:25 And so that will be launching early next year in the spring. So we'll continue that work after we close out all of talks with TikTok and start to launch that partnership. 34:39 Now thinking for a king oaths about, again, the products that are in the content that are being syndicated out to the network, We wanna make sure, again, that the right content is going to the right places. 34:50 And oftentimes, we see, you know, again, who knows which side maybe has some bad data in their catalog, but oftentimes, the product details and the brand's catalog are not a perfect match to them what we see out on the retail side. 35:04 So that's gonna be really hard for us to understand where to send your content at times. And what we have, recently launched is the self-service product matching tool where you're able to now, for the first time, come in and see what, matches are made for a specific product in your catalog. 35:20 So you can go into this in the network tab if you're, again, a a distribute client. So this is from the branch perspective. You're able to then go look up your catalog, look at then, particular retail destinations, understand, like, you can search for that product, understand what matches already exist for that product in your catalog at that retail destination. 35:40 And then if there's not a match, if there's another match that needs to be made, then you can click directly in this interface in the portal, and then actually request the match. 35:49 So it goes actually still to our network services team that then does some validation just to make sure, again, that all of the proper policies are met in terms of the match being made. 35:59 But then, again, once that's approved, then that content will start flowing. And so we find that this is, again, a high request from clients because there's a lot of times just hard to see the details, and this is something we're quite proud of, like, in terms of, you know, being able to offer, like, to our clients in terms of our network availability and, like, being able to see some of these details, which are are harder to see, again, just with other providers. 36:20 And so, again, really bringing the network to life as we want to continue to invest in our our network and the the tools that we offer there. Alright. 36:31 Then King Oates is also receiving some questions just like you saw on the flip side, like, from consumer example. Right? There was that question that Jenna looked at. 36:41 Does this product contain nuts? I mentioned that King Oats had actually answered this question. They did so in our portal. I mentioned the the AI answers that helped them, again, do that, which is kind of shown here. 36:53 But also gonna be applying that same technology to connections. So connections is if you are a retailer and you have reviews that you would like your brand or, you know, vendor partners to respond on or if you have questions you like them to answer. 37:08 As a retailer, it's hard to be able to scale to answer all of those questions. And so, again, we're revamping the Connections product. 37:16 You see this data on coming next fall. So this is one where we'll look at some iterative delivery. We basically just wanna bring that product into the same experience where your agents are already answering questions on your own site, responding to reviews. 37:30 And, again, the importance of this is you're giving consumers like Jenna, more information about your products. If they've also had a bad experience, it's a great way to be able to kind of address that in a customer service type of way, which then helps build, again, brand equity and actually, a lot of times then drives the consumer to purchase again from you. 37:47 But it also actually works great. Again, if you're responding to a positive review too, you're building loyalists, right, within your community. Alright. 37:58 And then some syndication and network health enhancements here. So this is another one just for brands, like understanding, you know, at the category level, understanding more about how you're performing out in the network. 38:11 And so you're able to come in and understand more of the sentiments of, again, what are consumers saying about your products throughout the network. And so, again, you're able to then take this, and action it more into driving improvements either in your your marketing or in your product improvements with your product managers. 38:29 So this is going to be launching soon here in November. And then talking a little bit more about the future, so really leaning in more to AI brand insights. 38:40 So with AI, of course, like, it's a whole new world where the AI can now tell you again. These are the things that consumers are saying without it even being prompted about specific categories or things to look at, but it's pointing out to you the categories and the trends that it's seen in the reviews that are being left. 38:56 And so, again, AI is able to do things like point out, these are key personas that are using your product that we're picking up on. These are key occurrences that they're using your product. 39:06 And so, again, in similar manners I just talked about before, you're really quickly able to kinda dive in and understand maybe a new audience you hadn't recognized before. 39:15 You can leverage this either in, again, investing in your products and improving development or thinking about improving your marketing overall. So you're gonna see things like, again, a quick review summary, what our consumer is saying. 39:26 Also, there's a a chatbot experience, which we intend to expand out to the the full portal, but you're able to ask again deeper insights. If it's, again, hasn't pulled back all the information you're looking for, you can dive in and understand a little bit more. 39:42 And then to kinda close out the ecommerce experience here, KingOs is actually moving to the Shopify ecommerce platform. Actually, we have just launched the availability of being able to set up multi locale shops then, like, again, to be able to support that with ratings and reviews. 39:59 So we continue to make a lot of investments in our Shopify application and continue to make that easier as we see either clients migrating or, again, just investments in some of the ease of the setup. 40:10 And so, again, you'll see more and more updates to our Shopify app over time. But, again, that multilocal support is the one launching in the near term. Alright. 40:20 Let me then wrap up with talking about, King Oats and their focus more up funnel in terms of social. And so, again, a lot of this is thinking about driving brand equity, creating all of that content that I talked about. 40:34 That helps, again, feed through the funnel. But, again, that brand equity also, I think I mentioned that really, but plays an important part in the LLMs and that discovery, out out on them in terms of, you know again, it's surfacing brands that consumers know. 40:47 So it's really important that you continue to drive your brand equity. In this scenario, they want to work with a a creator, again, to help create that content. 40:56 Again, that can be leveraged. Now sourcing a creator, again, can take a lot of time. And so one of the quick ways we want to then help you out is then having this brand safety score. 41:06 So and can can come in here, see this percentage, very safe. It's looking at categories that's, like, listed out there on the right hand side. But we wanna help you easily find a creator that creates content and not chaos for your brand. 41:19 And so, again, just as a quick way to, again, ensure that you're reinforcing sort of your your brand principles and not not stepping into something you didn't realize you were getting into. 41:30 So that's gonna be something that's launching soon in our creator marketing product within the the broader vibe solution. Alright. Next up. 41:39 This is now available but was a constant ask for us as we launched our creator marketing products. But the ability to directly pay creators, and then complete the taxation for them all within the portal. 41:53 So, you know, before, again, it's just a hard thing to do. You, again, wanna focus on creating content, driving campaigns. 42:01 And so this, taking off this piece where it's just much easier, you can either, again, directly pay them through the portal, connect things like your PayPal account, load up a wallet, and then the consumer or sorry. 42:13 The creator can come in from the other side and then is able to look in their own portal to then see, like, taxation forms and things of that nature. So, again, just saving you time and simplifying the process so you can get back to, again, the things that matter most. 42:26 Also, thinking about affiliate tracking. And so, of course, like with any campaign, King Oates wants to really understand the revenue impact of everything they're driving. 42:34 And while we do have this full funnel, impact reporting, again, if you're using any sort of affiliate tracking with affiliate codes, now we have an integration with Impact dot com, which allows for that integration so you can, again, see the the direct revenue impact and really understand the dollars that your campaigns are driving. 42:53 Then thinking a little bit more about the social inbox. I talked about doing some of that direct messaging on Instagram, but coming in November, we'll also be adding the capability around Facebook, and, again, making it easy for you to quickly respond with suggested responses and answers within there. 43:09 Again, just making it much more simpler for you. And then thinking about other things out on social. So the TikTok trends, again, it's hard enough to understand what what TikTok trends mean. 43:21 And so now we're using AI summaries to help you quickly understand what's trending and why so then you can actually create your own content, and be part of that wave, which is what I wanna showcase here then. 43:32 This is an experiment we're running with an AI idea generator. So you're, actually, again, we're picking up, I should say, on the trends. We're recommending, again, which outlets you should be posting on and a caption, which then you can include a, a picture. 43:46 But then you can again, basically, you're teed up to then go post this out onto social. So, really, again, saving you time and connecting into to what's hot. So, again, your team doesn't have to research what hashtags they should be writing and whatnot. 44:00 As we kinda wrap up here, then I just will say we also have some custom vibe reporting that's also been launching. Again, we see from our client's perspective, there's just a a different take they wanna look at maybe on the data that they wanna see for their performance of their campaigns. 44:15 And, again, so we'll be launching more custom reporting so they can come in and really customize that to their needs. And then lastly, for Kingotes, then they can include a consumer like Jenna in their loyalty program. 44:28 So this is a a new launch of the brand and retail communities. So if you have your own community that you can tap into, then you're able to, again, be able to directly connect with them and then sample products with them. 44:41 So just to close out here then, again, you've seen this story of Jenna. She's a mom, a shopper, and now an overnight Oats fan. And so this was just the story of one consumer, but, of course, this, you know, whole story is about your consumers and not just the technology that I was talking about that helps empower you to really win in the marketplace. 45:01 And so at Bazaarvoice, again, we stay dedicated to be the platform to share authentic product experiences. Like I said, making sure we show up with the right content in the right moment where your consumers are. 45:12 And with that, I do wanna just offer, again, for you to join that product innovation lab. We'd love to hear more from you as we, again, work on these experiments and pilots and move forward to the future. 45:25 So with that, I think the team was taking care of q and a as we walked through. But, yes, thank you for joining today, and looking forward to working with you all in the future.
