(upbeat music) >> Welcome back to the Quantcast Industry Summit on the demise of third-party cookies, The Cookie Conundrum, A Recipe for Success. We're here with Peter Day, the CTO, Quantcast and Shruti Koparkar, Head of Product Marketing Quancast. Thanks for coming on. Talk about the changing advertising landscape. >> Thanks for having us. >> Thank you for having us. >> So we've been hearing the story out to the big players, want to keep the data, make that centralized, control all the leverage, and then you've got the other end. You've got the open internet that still wants to be free and valuable for everyone. What's what are you guys doing to solve this problem? Because if cookies go away, what's going to happen there? How do people track things? You guys are in this business? First question, what is Quancast strategy to adapt to third-party cookies going away? What's going to be the answer? >> Yeah, so very rightly said, John. The mission, the Quancast mission is to champion of free and open internet. And with that in mind, our approach to this a world without third party cookies is really grounded in three fundamental things. First is industry standards. We think it's really important to participate and to work with organizations who are defining the standards that will guide the future of advertising. So with that in mind we've been participating with IAB Tech Lab, We've been part of their project, we are same thing with Prebid, who's kind of trying to figure out the pipes of identity the ID pipes of the future. And then also is W3C which is the World Wide Web Consortium. And our engineers and our engineering team are participating in their weekly meetings, trying to figure out what's happening with the browsers and keeping up with the progress there on things such as Google's FLoC. The second sort of thing is interoperability. As you've mentioned that a lots of different ID solutions that are emerging. You have UID 2.0, you have LiveRamp, you have Google's FLoC, and there will be more, there are more, and they will continue to be more. We really think it is important to build a platform that can ingest all of these signals. And so that's what we've done. The reason really is to meet our customers where they are at. Today our customers use multiple Data Management Platforms, DMPs. And that's why we support multiple of those. This is not going to be much different than that. We have to meet our customers where we are, or where they are at. And then finally, of course, which is at the very heart of who Quancast is, is innovation. As you can imagine being able to take all of these multiple signals in, including the IDs and the cohorts, but also others like contextual first party consent is becoming more and more important. And then there are many other signals like time, language, geolocation. So all of these signals can help us understand user behavior, intent and interests. In absence of third party cookies. However there's something to note about these. They're very raw, they're complex, they're messy, all of these different signals. They are changing all the time, their real time. And those incomplete in information isolation, just one of these signals can not help you build up true and complete picture. So what you really need is a technology like AI and Machine Learning, to really bring all of these signals together, combine them statistically, and get an understanding of user behavior intent and interest, and then act on it. Be it in terms of providing audience insights, or responding to bid requests and so on and so forth. So those are sort of the three fundamentals that our approach is grounded in which is industry standards, interoperability, and innovation. And you know, you have Peter here >> Yeah. who is the expert so you can dive much deeper into it. >> So Peter is CTO. You've got to tell us, how is this going to actually work? What are you guys doing from a technology standpoint to help with data-driven advertising and a third-party cookieless world? >> Well, we've been this is not a shock. You know, I think anyone who's been close to this space has known that the third party cookie has been reducing in quality in terms of its pervasiveness and its longevity for many years now. And the kind of death knell is really Google Chrome, making the changes that, they're going to be making. So we've been embarrassing in this space for many years and we've had to make a number of hugely diverse investments. So one of them is in how to, as a marketer how do I tell it my marketing still working in a world without (indistinct). The majority of marketers, completely relying on third party cookies today. It's tell them if their marketing is working or not. And so we've had to invest heavily and statistical techniques, which are closer to kind of echo metric models that marketers are used to have things like out of home advertising. It's going to be establishing whether their advertising is working or not in a digital environment. And actually this as with often the case in these kind of times of massive disruption, there's always opportunity to make things better. And we really think that's true. And you know, digital measurement is often mistaken precision for accuracy and there's a real opportunity to kind of see the wood for the trees if you'd like. And start to come up with better methods of measuring the effectiveness of advertising without third party cookies. And we've had to make countless other investments in areas like contextual modeling, and targeting that third-party cookies and connecting directly to publishers rather than going through this kind of loom escape that's going to tied together third party cookies. So I could, if I was to enumerate all the investments we've made I think it would be here till midnight, but we've had to make a number of investments over a number years. And that level investments only increasing at the moment. >> Peter, on that contextual, can you just double click on that and tell us more? >> Yeah, I mean, contextual it is, unfortunately when I think this is really poorly defined. It can mean everything from a publisher saying, Hey trust us this page is about SUV's, it's a what's possible now. And it's only really been possible the last couple of years which is to build statistical models of the entire internet based on the content that people are actually consuming. And this type of technology requires massive data processing capabilities, it's able to take advantage of the latest innovations in areas like natural language processing. And really gives computers, that kind of much deeper and richer understanding of the internet, which ultimately makes it possible to kind of organize the internet, in terms of the types of content of pages. So this type of technology has only been possible for the last few years. And, but we've been using contextual signals since our inception. Had always been massively predictive in terms of audience behaviors, in terms of where advertising is likely to work. And so we've been very fortunate to keep that investment going and take advantage of many of these innovations that are happening in academia and in kind of an adjacent areas >> On the AI and Machine Learning aspect. That seems to be a great differentiator in this day and age for getting the most out of the data. How is machine learning and AI factoring into your platform? >> I think it's how we've always operated, right from our inception. When we started as a measurement company. The way that we were giving our customers at the time we were just publishers, just the publisher side of our business. Insights into who their audience was, which was using Machine Learning techniques. And that's never really changed. The foundation of our platform has always been Machine Learning from before it was cool. A lot of our, kind of a lot of our co-teams have backgrounds in Machine Learning, and the PhDs in statistics and Machine Learning. And that really drives our decision-making. I mean, data is only useful if you can make sense of it and if you can organize it, and if you can take action on it, and to do that at this kind of scale it's absolutely necessary to use Machine Learning technology. >> So you mentioned contextual also, you know, in advertising we have everyone knows and that world that you got the contextual and behavioral dynamics. The behavior that's kind of generally can everyone's believing is happening. The consensus is undeniable is that, people are wanting to expect an environment where there's trust, there's truth, but also they want to be locked in. They don't want to get walled into a walled garden. Nobody wants to be in a wall garden. They want to be free to pop around and visit sites. It's more horizontal scalability than ever before yet. The bigger players are becoming walled garden vertical platforms. So with future of AI, the experience is going to come from this data. So the behaviors out there. How do you get >> Yeah. that contextual relevance and provide the horizontal scale that users expect? >> Yeah, I think it's a really good point and we're definitely at this kind of tipping point, we think in the broader industry. I think, you know, every publisher, right? We're really blessed to work with the biggest publishers in the world. All the way through to my mom's blog, right? So we get to hear the perspectives of the publishers at every scale. And they consistently tell us the same thing. Which is they want some more directly connect to consumers. They don't want to be tied into these walled gardens, which dictate how they must present their content. And in some cases what content they're allowed to present. And so, you know, our job as a company is to really provide level the playing field a little bit. Provide them the same capabilities they're only used to in the walled gardens, but let, give them more choice. In terms of how they structure their content, how they organize their content, how they organize their audiences, but make sure that they can fund that effectively. By making their audiences and their environments discoverable by marketers, measurable by marketers, and connect them as directly as possible to make that kind of ad funded economic model, as effective in the open internet as it is in social. And so a lot of the investments we've made over recent years have been really to kind of realize that vision, which is, it should be as easy for a marketer to be able to understand people on the open internet, as it is in social media. It should be as effective for them to reach people in that environment, is really high quality content as it is on Facebook. And so we've invested a lot of our R&D dollars in making that true. And we're now live with the Quantcast Platform which does exactly that. And as third party cookies go away, it only kind of exaggerate all kind of further emphasizes the need for direct connections between brands and publishers. And so we just want to build a technology that helps make that true, and gives the kind of technology to these marketers and publishers to connect, and to deliver great experiences without relying on these kind of walled gardens. >> Yeah. The direct to consumer, direct to audience is a new trend. You're seeing it everywhere. How do you guys support this new kind of signaling from for that's happening in these new world? How do you ingest the content, ingest this consent signaling? >> We were really fortunate to have an amazing an amazing R&D team. And, you know, we've had to do all sorts to make this, you know, to realize our vision. This has meant things like we, you know we have crawlers which stand the entire internet at this point, extract the content of the pages, and kind of make sense of it, and organize it. And organize it for publishers so that they can understand how their audiences overlap with potentially their competitors or collaborators, but more importantly, organize it for marketers. So they can understand what kind of high-impact opportunities are there for them there. So, you know, we've had to build a lot of technology. We've had to build analytics engines which can get answers back in seconds, so that, you know marketers and publishers can kind of interact with it with their own data and make sense of it and present it in a way that is compelling and then help them drive their strategy as well as their execution. We've had to invest in areas like consent management. Because we believe that a free and open internet is absolutely reliant on trust. And therefore we spend a lot of our time thinking about how do we make it easy for end-users to understand who has access to that data and easy friendly and users to be able to opt out. And as a result of that, we've now got the world's most widely adopted consent management platform. So it's hard to tackle one of these problems without tackling all of them. And we're fortunate enough to have had a large enough R&D budget over the last four or five years, make a number of investments, everything from consent and identity, through to contextual signals, through to measurement technologies, which really bring advertisers and publishers closer together. >> Great insight there. Shruti last word for you. What's the customer view here as you bring these new capabilities of the platform. What's what are you guys seeing as the highlight from a platform perspective? >> So the initial response that we've seen from our customers has been very encouraging. Both on the publisher side, as well as the marketer side. I think, you know, one of the things we hear quite a lot is you guys are at least putting forth a solution and action solution for us to test. Peter mentioned measurement. That really is where we started because you cannot optimize what you cannot measure. So that is where his team has started. And we have some measurement, very very initial capabilities still in alpha, but they are available in the platform for marketers to test out today. So the initial response has been very encouraging. People want to engage with us. Of course, our, you know, our fundamental value proposition which is that the Quantcast platform was never built to be reliant on third party data, these stale segments. Like we operate we've always operated on real time live data. The second thing is our premium publisher relationships. We have had the privilege of working like Peter served with some of the biggest publishers but we also have a very wide footprint. We have first party tags across over a hundred million plus web and mobile destinations. And, you know, as you must've heard like that sort of first party footprint, is going to come in really handy in a world without third party cookies. We are encouraging all of our customers, publishers and marketers to grow their first party data. And so that's something that's a strong point that customers love about us and lean into it quite a bit. So, yeah, the initial response has been great. Of course it doesn't hurt that we've made all these R&D investments. We can talk about consent, and, you know, I often say that consent it sounds simple, but it isn't, there's a lot of technology involved. But there's lots of legal work involved as it as well. We have a very strong legal team who has expertise built in. So yeah, a very good response initially. >> Democratization, everyone's a publisher, everyone's a media company. They have to think about being a platform. You guys provide that. So congratulations Peter, thanks for dropping the gems there. Shruti thanks for sharing the product highlights. Thanks for your time. >> Thank you. >> Okay, this is the Quancast Industry Summit on the demise of third-party cookies and what's next The Cookie Conundrum, the Recipe for success with Quancast I'm John Berger with theCUBE. Thanks for watching. (upbeat music)

(electronic music) >> Live from Toronto, Canada it's the Cube! Covering Blockchain Futurist Conference 2018. Brought to you by The Cube! >> Hello, welcome back. Cube exclusive coverage here in Toronto for the untraceable Blockchain Futurist Conference. Two days of wall-to-wall with the Cube. I'm John Furrier, my co-host Dave Valante, we're initiating this Blockchain coverage to all 2018 Cube events all around the world. You'll see us more and more talking to the most important people. Excited to have, here at The Cube, San Kim, CEO of Lucidity. on the front page of siliconangle.com, our journalism team, with news. Also doing the really interesting Blockchain advertising, if you can believe what that could be. We know about Brave and the attention token, a lot of activity going around on what is the benefit to the user around advertising. Certainly having having immutability and data might be interesting. Sam, welcome to The Cube >> Thank you. >> So, first of all, big news today on Silicon Angle. We covered you guys, you guys announced a strategic investor. >> Yes. >> What's the hard news? >> Yeah, well, thank you for covering us today. Today we announced our initial funding and our strategic investor is Pythia. Pythia represents the hard chain foundation, and so we're really excited about this opportunity, We believe our chain represents an incredible advancement of base protocol layers and so, we're looking, we'll be supporting them as we go forward, as we work closely with Pythia, our chain, and that community. >> Tell me about what you guys offer taken specific context, folks may or may not be familiar with what you do. What's the basic premise of your opportunity, technology and problems that you solve, and how do you use Blockchain for that? Yeah, so, we started, we were a digital advertising protocol. Effectively, we are a shared ledger for the digital advertising ecosystem, and if you know digital advertising, it operates at a tremendous scale. And so we have to build this Layer 2 technology that sits on top of the traditional, the base layer protocols, like Ethereum and Archain. In order to address the three challenges. The three challenges, one being scalability, the second is difficulty in sharing privacy, and the third is the high overhead cost of decentralizing a network. And so we've built this Layer 2 technology that uses a plasma sidechain, and we use something called a time series database, that solves those three problems. And, we're looking to support additional chains, in addition to Ethereum, and so obviously our chain is a natural extension for us. >> Yeah, and you guys obviously get, we cover you guys from a broad perspective, that's a big problem in advertising. >> But are you guys charting the user value proposition, or the digital marketer or agency proposition, or both? >> Yeah, so we're not trying to tokenize digital advertising. Our token is basically used internally as a proof of stake token. So, the advertiser, we're asking them to pay in fiat, and we convert that into a stable coin. And on our current instincts, it's the Dai token by MakerDAO. And so, what we are trying to solve is the transparency issue, that's rampant in the supply chain. So for example, when you run a digital ad today, you use anywhere from seven to 15 vendors, and those vendors, each of them have their own database, and they never communicate that data across to each other, and so there's discrepancies, and it also opens itself up to a lot of fraud. And so the industry is a 225 billion dollar industry, and the industry itself estimates that there's, like, 30% of that money is wasted. And a lot of that is because there's no reconciliation of that data, there's no transparency, and so we've created this protocol layer, for all 15 vendors to submit their data. And, in real time, we can understand, which impressions were valid, which ones were fraudulent, and, well, not just transparency, but now that we as industry participants don't have to argue with one another, we'll start to trust one another, and then we can move the industry forward. >> In the market it'll adjust the pricing as a result of that as well, right? >> Oh, absolutely, absolutely, and it's just about identifying where is the value created, right? So if you're a value creator in the supply chain, you could probably estimate that, the advertiser's going to eliminate the less valuable ones, and focus on the valuable and the adding ones. So basically, if you're fraudulent, like yeah, you might get hurt, but the real adders will benefit from it. >> Just to clarify a question, you talked about the overheads of decentralizing advertising. I infer from that that an advertising supply chain, by its inherent nature is decentralized? Or are you talking about more of a disruptive model? Can you explain? >> Yeah, so we're not re-creating a whole ecosystem, >> Right >> We're interoperable with the existing architecture. >> Which, is decentralized by its very nature, you're saying, or...? >> No, no, no, it's not decentralized >> Okay >> It's very centralized, like all the metrics are controlled by a few players. >> So it's no seven people in the supply chain, that form that central entity... >> Yes, it's all central entities, and we're asking them to submit their data, into this shared ledger, that works across all of the different industry structures. >> So it is disrupting that... >> Oh, it's highly disruptive in terms of that, but we're not trying to re-create the infrastructure like a lot of other blockchain architect companies. >> Oh, I see, so you're tapping into the existing, and you're providing good auditing, I imagine with this, right, so the benefit might be auditing. So give an example of how that would render itself. >> Yeah, so, one of the areas that we're focused on today, is just looking at the impressions, in a programmatic ad buying. And so, let's say, let's just focus, instead of talking about the 15 vendors, let's just talk about the four. The four is the advertiser, is the DSP, which is basically the buying platform, the SSP, which also represents the exchange, and then the publisher. Now there is, we were asked that all four submit their data into the smart contract, and we verify whether that impression was valid. If you think of a fraudulent example, like a bot, they will not be able to mimic the data across the whole supply chain. And so because we're looking at the data wholistically, rather than just the slices of it, we can identify those fraudulent behaviors. >> This is the benefit of horizontally scalable, integrated systems. Cloud can help you, Blockchain helps you. How's the uptake been? Give us an update on who's involved, what's been the successes, and how's your success going? >> So we've been really excited to work with the IAB, and the IAB stands for the Interactive Advertisement Bureau. They're the bodies that set standards in digital advertising and we're working very closely with them. We launched our pilot, the first official pilot with the IAB, and we have great advertisers that are working with us, we're working with a lot of the agencies, we're actually even working closely with the publishers, and the ad networks, and the exchangers. AppNexus is one of the major partners with us, and the reception's been really positive because I think everybody wants that transparency. >> Well, some of the status quo might not want that transparency, I mean, let's face it, right? >> The fraud is rampant, it really is. >> A 220 billion dollar industry, I betcha there's a lot of people in it that are like, oh boy, here comes lucidity! I mean, come on, what about that? >> I'm sure that exists, but we haven't really come across it because the advertiser, at the end of the day, has become really aware that there is this rampant fraud, there is this waste. And I don't want to attribute everything to fraud, I think some of it is just wasted, because of the quality of the data. And so, the advertiser is demanding and at the end of the day, we're here to serve the advertiser, right? We're here to deliver value to the advertiser, and I think the industry is mature enough now, to where we recognize that. And so we don't think of transparency as a threat to the business anymore. We think of it as a value enhancement to our customer, the advertiser. >> Yeah, and I would personally totally agree with that, because as I said, the market will correct itself. Higher quality advertising is going to deliver more revenue, ultimately, alone, because there's going to be better outcomes. Right, so if you can increase your hit rate, you'd be happy to lower the clicks, you know? >> Is there any benefit for publishers? >> Yeah, I mean, publishers today have to basically trust what their partners are paying them. There's no way for them to verify and validate it. And so, with our system, we enable publishers to look into, it's our sidechain, right? And so, they are able to look at the events, but we obscure the data, we hash the data that's there so that we make it anonymous. But then they're able to see, like, okay, these are the impressions I've manned, here are the ones that were considered valid and verified, and here's what I should get paid. So the publishers now get the transparency, that which they lack today. >> So much of that industry is a black box, you might have a big media buyer, who's got voodoo, you know, that sprinkles magic dust, sends you a big bill, and you're like whoa! Is this really worth it? >> Bots, fake traffic.. >> You can automate a lot of that... >> And you've been doing this for 20 years! This has been the status quo for 20 years! >> We need a change. So, talk about the company, how big, how much funding did you actually owe? Is it privately funded, what's the funding mechanism? How big are you guys, what's the story? >> So today we announced that we raised five million dollars, we did it in traditional means. We did not do an ICO. >> Venture capital? >> It's a mix of venture capital, and obviously Pythia is the fund for our chain, so, but it was an equity deal. And that's the brow we're going to continue with. We do have an internal token, but we are not looking at doing a public sale. >> So not a security token, preferred stock, classic funding. >> So wait, so you did a security token? >> No no, no, preffered stock, classic venture capital. Well, great! Yeah, that's awesome, congratulations. We'll keep in touch, it's great to have you come on. >> Thank you very much >> Thanks very much, appreciate the time. >> And thank you for covering us! >> Of course! We love innovative things, in advertising specifically because it's freaking broken, big time! We have no advertising on our site, because we want to get the best content possible. Of course, the Cube is supported by sponsors, we appreciate that. Thanks for coming on. Cube coverage here in Toronto for watching futurists, we'll be right back, stay with us, as we start to wind down day one. Be right back with more great interviews after this break. (light-hearted techno music)