>>Yeah, yeah. Welcome back to the third session in our building, A vibrant data ecosystem track. This session is unleash the power of your cloud data warehouse. So what comes after you've moved your data to the cloud in this session will explore White Enterprise Analytics is finally ready for the cloud, and we'll discuss how you can consume Enterprise Analytics in the very same way he would cloud services. We'll also explore where analytics meets cloud and see firsthand how thought spot is open for everyone. Let's get going. I'm happy to say we'll be hearing from two folks from thought spot today, Michael said Cassie, VP of strategic partnerships, and Vika Valentina, senior product marketing manager. And I'm very excited to welcome from our partner at AWS Gal Bar MIA, product engineering manager with Red Shift. We'll also be sharing a live demo of thought spot for BTC Marketing Analytics directly on Red Shift data. Gal, please kick us off. >>Thank you, Military. And thanks. The talks about team and everyone attending today for joining us. When we talk about data driven organizations, we hear that 85% of businesses want to be data driven. However, on Lee. 37% have been successful in We ask ourselves, Why is that and believe it or not, Ah, lot of customers tell us that they struggled with live in defining what being data driven it even means, and in particular aligning that definition between the business and the technology stakeholders. Let's talk a little bit. Let's look at our own definition. A data driven organization is an organization that harnesses data is an asset. The drive sustained innovation and create actionable insights. The super charge, the experience of their customers so they demand more. Let's focus on a few things here. One is data is an asset. Data is very much like a product needs to evolve sustained innovation. It's not just innovation innovation, it's sustained. We need to continuously innovate when it comes to data actionable insights. It's not just interesting insights these air actionable that the business can take and act upon, and obviously the actual experience we. Whether whether the customers are internal or external, we want them to request Mawr insights and as such, drive mawr innovation, and we call this the for the flywheel. We use the flywheel metaphor here where we created that data set. Okay, Our first product. Any focused on a specific use case? We build an initial NDP around that we provided with that with our customers, internal or external. They provide feedback, the request, more features. They want mawr insights that enables us to learn bringing more data and reach that actual data. And again we create MAWR insights. And as the flywheel spins faster, we improve on operational efficiencies, supporting greater data richness, and we reduce the cost of experimentation and legacy environments were never built for this kind of agility. In many cases, customers have struggled to keep momentum in their fleet, flywheel in particular around operational efficiency and experimentation. This is where Richie fits in and helps customer make the transition to a true data driven organization. Red Shift is the most widely used data warehouse with tens of thousands of customers. It allows you to analyze all your data. It is the only cloud data warehouse that sits, allows you to analyze data that sits in your data lake on Amazon, a street with no loading duplication or CTL required. It is also allows you to scale with the business with its hybrid architectures it also accelerates performance. It's a shared storage that provides the ability to scale toe unlimited concurrency. While the UN instant storage provides low late and say access to data it also provides three. Key asks that customers consistently tell us that matter the most when it comes to cost. One is usage based pricing Instead of license based pricing. Great value as you scale your data warehouse using, for example, reserved instances they can save up to 75% compared to on the mind demand prices. And as your data grows, infrequently accessed data can be stored. Cost effectively in S three encouraged through Amazon spectrum, and the third aspect is predictable. Month to month spend with no hitting charges and surprises. Unlike and unlike other cloud data warehouses, where you need premium versions for additional enterprise capabilities. Wretched spicing include building security compression and data transfer. >>Great Thanks. Scout um, eso. As you can see, everybody wins with the cloud data warehouses. Um, there's this evolution of movement of users and data and organizations to get value with these cloud data warehouses. And the key is the data has to be accessible by the users, and this data and the ability to make business decisions on the data. It ranges from users on the front line all the way up to the boardroom. So while we've seen this evolution to the Cloud Data Warehouse, as you can see from the statistic from Forrester, we're still struggling with how much of that data actually gets used for analytics. And so what is holding us back? One of the main reasons is old technology really trying to work with today's modern cloud data warehouses? They weren't built for it. So you run into issues of trying to do data replication, getting the data out of the cloud data warehouse. You can do analysis and then maintaining these middle layers of data so that you can access it quickly and get the answers you need. Another issue that's holding us back is this idea that you have to have your data in perfect shape with the perfect pipeline based on the exact dashboard unique. Um, this isn't true. Now, with Cloud data warehouse and the speed of important business data getting into those cloud data warehouses, you need a solution that allows you to access it right away without having everything to be perfect from the start, and I think this is a great opportunity for GAL and I have a little further discussion on what we're seeing in the marketplace. Um, one of the primary ones is like, What are the limiting factors, your Siegel of legacy technologies in the market when it comes to this cloud transformation we're talking about >>here? It's a great question, Michael and the variety of aspect when it comes to legacy, the other warehouses that are slowing down innovation for companies and businesses. I'll focus on 21 is performance right? We want faster insights. Companies want the ability to analyze MAWR data faster. And when it comes to on prem or legacy data warehouses, that's hard to achieve because the second aspect comes into display, which is the lack of flexibility, right. If you want to increase your capacity of your warehouse, you need to ensure request someone needs to go and bring an actual machine and install it and expand your data warehouse. When it comes to the cloud, it's literally a click of a button, which allows you to increase the capacity of your data warehouse and enable your internal and external users to perform analytics at scale and much faster. >>It falls right into the explanation you provided there, right as the speed of the data warehouses and the data gets faster and faster as it scales, older solutions aren't built toe leverage that, um, you know, they're either they're having to make technical, you know, technical cuts there, either looking at smaller amounts of data so that they can get to the data quicker. Um, or it's taking longer to get to the data when the data warehouse is ready, when it could just be live career to get the answers you need. And that's definitely an issue that we're seeing in the marketplace. I think the other one that you're looking at is things like governance, lineage, regulatory requirements. How is the cloud you know, making it easier? >>That's That's again an area where I think the cloud shines. Because AWS AWS scale allows significantly more investment in securing security policies and compliance, it allows customers. So, for example, Amazon redshift comes by default with suck 1 to 3 p. C. I. Aiso fared rampant HIPPA compliance, all of them out of the box and at our scale. We have the capacity to implement those by default for all of our customers and allow them to focus. Their very expensive, valuable ICTY resource is on actual applications that differentiate their business and transform the customer experience. >>That's a great point, gal. So we've talked about the, you know, limiting factors. Technology wise, we've mentioned things like governance. But what about the cultural aspect? Right? So what do you see? What do you see in team struggling in meeting? You know, their cloud data warehouse strategy today. >>And and that's true. One of the biggest challenges for large large organizations when they moved to the cloud is not about the technology. It's about people, process and culture, and we see differences between organizations that talk about moving to the cloud and ones that actually do it. And first of all, you wanna have senior leadership, drive and be aligned and committed to making the move to the cloud. But it's not just that you want. We see organizations sometimes Carol get paralyzed. If they can't figure out how to move each and every last work clothes, there's no need to boil the ocean, so we often work with organizations to find that iterative motion that relative process off identifying the use cases are date identifying workloads in migrating them one at a time and and through that allowed organization to grow its knowledge from a cloud perspective as well as adopt its tooling and learn about the new capabilities. >>And from an analytics perspective, we see the same right. You don't need a pixel perfect dashboard every single time to get value from your data. You don't need to wait until the data warehouse is perfect or the pipeline to the data warehouse is perfect. With today's technology, you should be able to look at the data in your cloud data warehouse immediately and get value from it. And that's the you know, that's that change that we're pushing and starting to see today. Thanks. God, that was That was really interesting. Um, you know, as we look through that, you know, this transformation we're seeing in analytics, um, isn't really that old? 20 years ago, data warehouses were primarily on Prem and the applications the B I tools used for analytics around them were on premise well, and so you saw things like applications like Salesforce. That live in the cloud. You start having to pull data from the cloud on Prem in order to do analytics with it. Um, you know, then we saw the shift about 10 years ago in the explosion of Cloud Data Warehouse Because of their scale, cost reduced, reduce shin reduction and speed. You know, we're seeing cloud data. Warehouses like Amazon Red Shift really take place, take hold of the marketplace and are the predominant ways of storing data moving forward. What we haven't seen is the B I tools catch up. And so when you have this new cloud data warehouse technology, you really need tools that were custom built for it to take advantage of it, to be able to query the cloud data warehouse directly and get results very quickly without having to worry about creating, you know, a middle layer of data or pipelines in order to manage it. And, you know, one company captures that really Well, um, chick fil A. I'm sure everybody has heard of is one of the largest food chains in America. And, you know, they made a huge investment in red shift and one of the purposes of that investment is they wanted to get access to the data mawr quickly, and they really wanted to give their business users, um, the ability to do some ad hoc analysis on the data that they were capturing. They found that with their older tools, the problems that they were finding was that all the data when they're trying to do this analysis was staying at the analyst level. So somebody needed to create a dashboard in order to share that data with a user. And if the user's requirements changed, the analysts were starting to become burdened with requests for changes and the time it took to reflect those changes. So they wanted to move to fought spot with embrace to connect to Red Shift so they could start giving business users that capability. Query the database right away. And with this, um, they were able to find, you know, very common things in in the supply chain analysis around the ability to figure out what store should get, what product that was selling better. The other part was they didn't have to wait for the data to get settled into some sort of repository or second level database. They were able to query it quickly. And then with that, they're able to make changes right in the red shift database that were then reflected to customers and the business users right away. So what they found from this is by adopting thought spot, they were actually able to arm business users with the ability to make decisions very quickly. And they cleared up the backlog that they were having and the delay with their analysts. And they're also putting their analysts toe work on different projects where they could get better value from. So when you look at the way we work with a cloud data warehouse, um, you have to think of thoughts about embrace as the tool that access that layer. The perfect analytic partner for the Cloud Data Warehouse. We will do the live query for the business user. You don't need to know how to script and sequel, um Thio access, you know, red shift. You can type the question that you want the answer to and thought spot will take care of that query. We will do the indexing so that the results come back faster for you and we will also do the analysis on. This is one of the things I wanted to cover, which is our spot i. Q. This is new for our ability to use this with embrace and our partners at Red Shift is now. We can give you the ability to do auto analysis to look at things like leading indicators, trends and anomalies. So to put this in perspective amount imagine somebody was doing forecasting for you know Q three in the western region. And they looked at how their stores were doing. And they saw that, you know, one store was performing well, Spot like, you might be able to look at that analysis and see if there's a leading product that is underperforming based on perhaps the last few quarters of data. And bring that up to the business user for analysis right away. They don't need to have to figure that out. And, um, you know, slice and dice to find that issue on their own. And then finally, all the work you do in data management and governance in your cloud data warehouse gets reflected in the results in embrace right away. So I've done a lot of talking about embrace, and I could do more, but I think it would be far better toe. Have Vika actually show you how the product works, Vika. >>Thanks, Michael. We learned a lot today about the power of leveraging your red shift data and thought spot. But now let me show you how it works. The coronavirus pandemic has presented extraordinary challenges for many businesses, and some industries have fared better than others. One industry that seems to weather the storm pretty well actually is streaming media. So companies like Netflix and who Lou. And in this demo, we're going to be looking at data from B to C marketing efforts. First streaming media company in 2020 lately, we've been running campaigns for comedy, drama, kids and family and reality content. Each of our campaigns last four weeks, and they're staggered on a weekly basis. Therefore, we always have four campaigns running, and we can focus on one campaign launch per >>week, >>and today we'll be digging into how our campaigns are performing. We'll be looking at things like impressions, conversions and users demographic data. So let's go ahead and look at that data. We'll see what we can learn from what's happened this year so far, and how we can apply those learnings to future decision making. As you can already see on the thoughts about homepage, I've created a few pin boards that I use for reporting purposes. The homepage also includes what others on my team and I have been looking at most recently. Now, before we dive into a search, will first take a look at how to make a direct connection to the customer database and red shift to save time. I've already pre built the connection Red Shift, but I'll show you how easy it is to make that connection in just three steps. So first we give the connection name and we select our connection type and was on red Shift. Then we enter our red shift credentials, and finally, we select the tables that we want to use Great now ready to start searching. So let's start in this data to get a better idea of how our marketing efforts have been affected either positively or negatively by this really challenging situation. When we think of ad based online marketing campaigns, we think of impressions, clicks and conversions. Let's >>look at those >>on a daily basis for our purposes. So all this data is available to us in Thought spot, and we can easily you search to create a nice line chart like this that shows US trends over the last few months and based on experience. We understand that we're going to have more clicks than impressions and more impressions and conversions. If we started the chart for a minute, we could see that while impressions appear to be pretty steady over the course of the year, clicks and especially conversions both get a nice boost in mid to late March, right around the time that pandemic related policies were being implemented. So right off the bat, we found something interesting, and we can come back to this now. There are few metrics that we're gonna focus on as we analyze our marketing data. Our overall goal is obviously to drive conversions, meaning that we bring new users into our streaming service. And in order to get a visitor to sign up in the first place, we need them to get into our sign up page. A compelling campaign is going to generate clicks, so if someone is interested in our ad, they're more likely to click on it, so we'll search for Click through Rape 5% and we'll look this up by campaign name. Now even compare all the campaigns that we've launched this year to see which have been most effective and bring visitors star site. And I mentioned earlier that we have four different types of campaign content, each one aligned with one of our most popular genres. So by adding campaign content, yeah, >>and I >>just want to see the top 10. I could limit my church. Just these top 10 campaigns automatically sorted by click through rate and assigned a color for each category so we could see right away that comedy and drama each of three of the top 10 campaigns by click through rate reality is, too, including the top spot and kids and family makes one appearance as well. Without spot. We know that any non technical user can ask a question and get an answer. They can explore the answer and ask another question. When you get an answer that you want to share, keep an eye on moving forward, you pin the answer to pin board. So the BBC Marketing Campaign Statistics PIN board gives us a solid overview of our campaign related activities and metrics throughout 2020. The visuals here keep us up to date on click through rate and cost per click, but also another really important metrics that conversions or cost proposition. Now it's important to our business that we evaluate the effectiveness of our spending. Let's do another search. We're going to look at how many new customers were getting so conversions and the price cost per acquisition that we're spending to get each of these by the campaign contact category. So >>this is a >>really telling chart. We can basically see how much each new users costing us, based on the content that they see prior to signing up to the service. Drama and reality users are actually relatively expensive compared to those who joined based on comedy and kids and family content that they saw. And if all the genres kids and family is actually giving us the best bang for our marketing >>buck. >>And that's good news because the genres providing the best value are also providing the most customers. We mentioned earlier that we actually saw a sizable uptick in conversions as stay at home policies were implemented across much of the country. So we're gonna remove cost per acquisition, and we're gonna take a daily look how our campaign content has trended over the years so far. Eso By doing this now, we can see a comparison of the different genres daily. Some campaigns have been more successful than others. Obviously, for example, kids and family contact has always fared pretty well Azaz comedy. But as we moved into the stay at home area of the line chart, we really saw these two genres begin to separate from the rest. And even here in June, as some states started to reopen, we're seeing that they're still trending up, and we're also seeing reality start to catch up around that time. And while the first pin board that we looked at included all sorts of campaign metrics, this is another PIN board that we've created so solely to focus on conversions. So not only can we see which campaigns drug significant conversions, we could also dig into the demographics of new users, like which campaigns and what content brought users from different parts of the country or from different age groups. And all this is just a quick search away without spot search directly on a red shift. Data Mhm. All right, Thank you. And back to you, Michael. >>Great. Thanks, Vika. That was excellent. Um, so as you can see, you can very quickly go from zero to search with thought Spot, um, connected to any cloud data warehouse. And I think it's important to understand that we mentioned it before. Not everything has to be perfect. In your doubt, in your cloud data warehouse, um, you can use thought spot as your initial for your initial tool. It's for investigatory purposes, A Z you can see here with star, Gento, imax and anthem. And a lot of these cases we were looking at billions of rows of data within minutes. And as you as your data warehouse maturity grows, you can start to add more and more thoughts about users to leverage the data and get better analysis from it. So we hope that you've enjoyed what you see today and take the step to either do one of two things. We have a free trial of thoughts about cloud. If you go to the website that you see below and register, we can get you access the thought spots so you can start searching today. Another option, by contacting our team, is to do a zero to search workshop where 90 minutes will work with you to connect your data source and start to build some insights and exactly what you're trying to find for your business. Um thanks, everybody. I would especially like to thank golf from AWS for joining us on this today. We appreciate your participation, and I hope everybody enjoyed what they saw. I think we have a few questions now. >>Thank you, Vika, Gal and Michael. It's always exciting to see a live demo. I know that I'm one of those comedy numbers. We have just a few minutes left, but I would love to ask a couple of last questions Before we go. Michael will give you the first question. Do I need to have all of my data cleaned and ready in my cloud data warehouse before I begin with thought spot? >>That's a great question, Mallory. No, you don't. You can really start using thought spot for search right away and start getting analysis and start understanding the data through the automatic search analysis and the way that we query the data and we've seen customers do that. Chick fil a example that we talked about earlier is where they were able to use thoughts bought to notice an anomaly in the Cloud Data Warehouse linking between product and store. They were able to fix that very quickly. Then that gets reflected across all of the users because our product queries the Cloud Data Warehouse directly so you can get started right away without it having to be perfect. And >>that's awesome. And gal will leave a fun one for you. What can we look forward to from Amazon Red Shift next year? >>That's a great question. And you know, the team has been innovating extremely fast. We released more than 200 features in the last year and a half, and we continue innovating. Um, one thing that stands out is aqua, which is a innovative new technology. Um, in fact, lovely stands for Advanced Square Accelerator, and it allows customers to achieve performance that up to 10 times faster, uh, than what they've seen really outstanding and and the way we've achieved that is through a shift in paradigm in the actual technological implementation section. Uh, aqua is a new distributed and hardware accelerated processing layer, which effectively allows us to push down operations analytics operations like compression, encryption, filtering and aggregations to the storage there layer and allow the aqua nodes that are built with custom. AWS designed analytics processors to perform these operations faster than traditional soup use. And we no longer need to bring, you know, scan the data and bring it all the way to the computational notes were able to apply these these predicates filtering and encourage encryption and compression and aggregations at the storage level. And likewise is going to be available for every are a three, um, customer out of the box with no changes to come. So I apologize for being getting out a little bit, but this is really exciting. >>No, that's why we invited you. Call. Thank you on. Thank you. Also to Michael and Vika. That was excellent. We really appreciate it. For all of you tuning in at home. The final session of this track is coming up shortly. You aren't gonna want to miss it. We're gonna end strong, come back and hear directly from our customer a T mobile on how T Mobile is building a data driven organization with thought spot in which >>pro, It's >>up next, see you then.

>> live from Las Vegas. It's the Cube covering magenta. Imagine twenty nineteen. Brought to you by Adobe. >> Hey, welcome back to the Cube. Lisa Martin at Imagine, twenty nineteen from the Wynn Las Vegas. It's happy hour here, but I really wish I had a Coke. I don't have one. But I do have a gentleman from Coca Cola, please doing me and welcoming a couple of guests to the Cube. We have Enrique no great day. The director of Direct to Consumer for Coca Cola Mexico. Enrique, Thank you for joining us. >> Thanks, Lisa. Nice to meet you. >> And we have from forty for Raghu Kerala managing partner. Welcome to >> the Cube. You nailed the name. There you go. Talk >> to >> that interview. I did my best. All right, so here we are in imagine, twenty nineteen with about thirty, five hundred or so people. This show is one that has a tremendous amount of energy. It's like you gave everybody a cook when they walked in the door. Didn't really need it, But we've heard a tremendous amount of positivity people very excited for being able to leverage the power of data to deliver really impactful experiences and as consumers of any product. We want a brand to know us. We want them to help us make our lives better. Before we dig into that with Coca Cola, argue, let's start with you. Forty four is one of magenta owes partners. Give us a little bit of a history there on what you guys do, together with the Gento and four customers like Coca Cola, Mexico. >> Thank you, Lisa, and thank you for inviting us here today. Well, when we put together forty four, we ask yourself some questions like, How do we aspire to be great? And one of the things was to surround ourselves with great partners and adobes definitely been a great partner for us, because what we want to do is bring tea to our customers. A not just a sight but an experience for their consumers. They can live on and grow and invest in a platform. And what we found with Adobe and the Magenta Commerce cloud was a way that we could start building something in an array, tours greatness by using data and insights to build upon our knowledge. And luckily, way found a great partner in Coca Cola that we could aspire to be great together to the end. Consumer e commerce is still in this early days, and what we wanted to say is that a great brand could start and start looking at e commerce in a way to improve their customers. Lives be available in moments that of need and moments of want. And that's something we started doing with North America about four years ago and brought that to Western Europe. And now Lat Ham in the last year has been a great experience partnering with you. >> CocaCola is a brand that everybody knows globally. It's one of those almost feel good brands, right? I mean, you just can't help but get a smile on your face when somebody asked If you want a cup full, of course, who would say no to that? Give me a little lemon twist and I'm very happy, but something that you guys are doing together with Coca Cola. Mexico was really inspirational, and it's really helping to transform and improve people's lives. And we could talk to us about the program that you're building with forty four and how it's actually making giving people access to things that they don't just want that they actually need, like, quality of life, type of sure products. >> So thanks. Thanks a lot, Lisa, for the invitations. So first of all, you know, we have a big challenge, because way No, we have a great brand way, actually have a lot of brands, and that's the challenge. So how can we create this? The solution where we can access people to this? Never. It's for life. So it's not only Coke way have a lot of different products, and Wei have in Mexico is that it's, ah, project that we are calling Coca Cola. It's Coke at home on what we do there is. We are providing the consumers a subscription model where we are enabling the access to multiple beverage products any time on everywhere. So that's that's That's the ambition we have we launched last year in the city of Monterrey. It's It's our first city. We are planning to scale this business into the whole country and probably Latin America. First on, why not probably the states on some foreseeable future. >> So this is more than on demand. I live in Silicon Valley, where we're pretty, you know, we have high expectations and I want to order something, whether it's on door dash or through Google expressed our Amazon that I wanted to show up within an hour. But that's, you know, I might be lazy, that I don't actually want to get in my car and driver walk somewhere. But what you're talking about this is this is not just I want Coca Cola products on demand. This is actually reaching people that really have a strong and need for this type of service. Talk to us about that human interaction and what you guys are really enabling there for your consumers. >> Sure, so So, yeah, United. So the thing is, what we see, the big opportunity here is way. Want to be closer to our consumers? We went to understand them. We want to to hear from them, to receive feedback directly back the way we are used to working Coca Cola in the past one hundred and thirty three years that that's a history of cardiac alights way have the customers that interact with consumers, and then we get some information from the consumers. We've been great doing marketing campaigns, you know. But right now the challenge that we're facing is we want to have direct feedback from them. So we're creating this eco system where we are getting feedback. We're getting knowledge from them, and we know exactly what what's their their needs. The pain points, their suffering, Andi the way what we can solve them and probably eventually some future products. But we can create for them with the specific necessities that they have. So that's what we're creating there. That's a big thing. >> And so we're gonna talk to us about the opportunity to work with a brand like Coca Cola that's been around for over one hundred thirty years, talk about transformation and be able to enable them to really kind of not just delight customers. But there's an emotional connection that people >> have this products. So we always say, like ideally done way can add value from the state of desire to the state of consumption, and in between is a transaction. It's fulfillment, its operations and perhaps unique to most clients of, um, Magenta and Adobe. Coca Cola in Mexico owns a full relationship, and it's a full branded piece from creating that desire in your heart in your mind in your taste buds, but then owning that all the way through the delivery trucks and the people delivering it to your door. And that's something that a CPD firm just actually, I'm not sure of any other CPV firm does in the US or in Mexico at this point. And but then what is the excellence mean? We haven't untidy of excellence of what Coke means to us, the nostalgia and what it means today. But that also raises the high bar because we're not allowed to not be excellent at any other touch point of the brand. But definitely it's fun, right? It's a challenge, you know, making money online. That's the easy part, Being really proud of what you're doing online. That's kind of what makes you go to work every day. >> Being relevant for consumers is what, yeah, >> being relevant? Absolutely, especially because there's a lot of choice with most products and services that are available to us as consumers these days. And if you think of you know, we've been talking a lot at this event about the customer experience and customer experience management, and how can Adobe Inn Magenta enable their customers to use data to understand what delivering what my customer wants to improve. Whether it's, you know, we talked to HP Inc this morning allowing me to order a new PC or printed or ink and have it delivered specifically exactly the way that I wanted to. Whether it's, you know, getting a Coca Cola. I want whoever I'm interacting with to give you a seamless experience. But use the data that you're collecting about me to make my life better. Make my life easier, more seamless. Frictionless. How are you guys at forty for helping Enrique and team utilize that data too crude to really enhance this consumer experience and maybe even create more brand loyalty? Yeah, it's >> interesting. I think data is a tool, but then your hypothesis, where you go from has to be endemic to the brand and for Coca Cola. On the internal, we think of it as a portfolio portfolio of different products in different needs states from hydration to enjoyment from special moments to everyday moments. But then that allows you to start thinking, How do I be part relevant part of more moments and then you could say, Where does data fit into that and now I can understand how there's a new moments being made because people's lives change and the youth always find different ways in different ways of living in different way from being. How can we be relevant to them through our throughout all of that, from the moment you wake up in what you need state is there to special moment of happiness, and they have a company that has products that could live up to. All of that is great and you know you need a portfolio. But you also need to being desire and wanted need all together in one thing, because one person has all of that and one company came, fulfill it if you think about it from a idea of moment. But then what data? Khun, Due to bring those to life >> so soon being relevant, continuing to be relevant is challenging. It's going to require you to really look at trends across a spectrum of, say, consumer behaviors. Enrique, what are some of the trends that you guys are seeing with this project that you've launched in Mexico, and how were you going to be using those trends to expand this globally? >> Sure, Yeah, So? So first of all, as you, as you know, probably e commerce in Mexico is is quite a small right now. So the thing is, it's growing in, you know, very aggressive rates on DH. It happens the same in the rest of Latin America countries. So what What other retailers are looking at is they want to create this this big business right now because they know that in the future it's going to be the competitive advantage for them. So So I think that's something that not many sippy jeez are looking at. There's a lot off are things that must happen inside the companies to enable this on DH. In my experience, the most challenging things and it's not a trend, but it's it's a challenge that we face us as a big city. Gee, Cos is how can we change the culture inside the company? Because this is the main barrier we have. We face when we see and I I'm going to give you the example of Mexico when we see the digital sales of the beverage in Mexico, it comes about two point five percent of the total sales that we have so its its really small if you compare it to the rest of the retail. So whenever we go to the to the rest of the corporation and the rest of the building in Mexico, we say that we want in best, and we want to do there's there's a lot of barriers, you know on the challenge, the main challenge that we face right now. The's companies that want to go direct ical Sumer is this is happen. We changed the mindset, change the culture, and I think that's the most relevant. It's no trend, but it's It's the most relevant challenge that we're facing right now, >> a big challenge because not just for for every convict, but a company with the history that Coca Cola has to be able to start leveraging that data to start to change mindsets and ship cultures. Where are you guys on that journey? And how is your partnership with forty four may be a facilitator of that cultural change? >> Yeah, sure, So it's to be really honest. We're we're beginning this journey way have some countries that are ahead of us. We have some examples in China, For example, curriculum, China's great things cortical in North America is doing very big things in Mexico and Latin America. We're starting the journey on the thing. What we realized is that we need to get together with people that know of this matter. Way are really good at marketing. We're really good at a commercial approach. Operational approach ware not the best at the commerce, but we. That's why we are partnering with guys that no one, we're partnering with platforms like Adobe Magenta, too. To achieve this, that's that's the thing, right? >> Yeah, >> Rookie will finish with you. What are some of the things that you have seen and heard at? Imagine twenty nineteen from a technology innovation perspective that give you the confidence that adobe in Magenta Technologies are going to be able to deliver, what it is that Enrique and his team need to make that barrier change internal evaporate. Yeah, >> I mean, I think when you think of technology right now, even within adobes, it's what the combination of different products that adobe has and how they're going to come together. So the roadmap is a critical piece of it. I think there's been a great announcement of Sensei's coming in and being part of the core offering to make each interaction a little smarter, but also really see the payoff and save what's the real need that trying to be solved, then back that into the products that you see to cut between the different between a press release and a road map? And I think when you come to a summit like this, you hear things from Adobe. But then you also hear the reactions from the customers. And if you hear those both at the same time, you find that great thing in the middle >> of >> what's actionable. And I think if you think of only customer opinions or the what the platform says individually, I think they're less relevant than finding that really time reaction to trends and say, Honestly, sometimes you're drowning in technology and you wantto move the business forward and react to that weak sales that month's numbers. But then you say, Well, let me take a step back and look at the road map or vice versa, and I think everybody's in different stages of where they're going. So until you get that wisdom from everybody else, anyone announcement might be might take you off course. But then you start saying other people are in my boat. Other people are filling my opportunity, sent my sense of opportunity, and other people are feeling my sense of pain. And it's great to see a community come together. It's five thousand people that all want to accomplish something different things, but they want to accomplish success. Whatever. However, they personally define it. >> And it is to your point. It's a very, very strong community here. But we thank you both so much for taking the time to share with us what you guys are doing together with Coca Cola run that everybody knows and loves. So I say we go get a cookie cola and wrap this segment. What do you think you're all right? >> Moment is coming. >> Fantastic. You're watching the Cube. I'm Lisa Martin from Imagine, twenty nineteen from the Wynn Las Vegas. Thanks for watching

>> live from Las Vegas. It's the Cube covering magenta. Imagine twenty nineteen. Brought to you by Adobe. >> Welcome back to the Cube. Live from Las Vegas, Lisa Martin with Jeff correctly or coming to you from Magenta. Imagine twenty nineteen with about thirty, five hundred or so folks here. Big community, big open source spirit. We're very pleased to welcome from the keynote stage. Jenny Chang, The pee at PayPal. Jennie. Welcome to the Cube. >> Thank you. Thanks for having me, Lee. >> So really enjoyed your keynote this morning. We'Ll get into a lot of the specifics, but just looking at Magenta Oh, Adobe, This evolution of e commerce that's really driven by consumers. We want to have everything right on her phone as easily as possible. We went out lightning fast. Talk to us. About From what? You seen this evolution of e commerce and where we are today. >> Yeah, It's been a fascinating journey. Toe watch us move from point no sale, mood from brick and mortar Teo online and engaged. And I think as part of that, you know, you think about the amount of time you spend on your mobile phone. It's not surprising that most sites. Fifty percent of the visitors on that site are on their mobile devices, and they're staying longer. Maybe you're killing time, right? Waiting for your husband to finish something or your child to come out of class. And so we naturally tend to get on our mobile phones, and we look for things to do so that engagement on the mobile phone it becomes absolutely critical and what's been fascinating As part of the conference, we've been sharing some early results about mobile optimization. And what we're finding is, even though engagement is going up from a mobile phone, revenue is not there. >> The gap. >> Yeah, there's a big, big gaffe, and you look at that. And you think, Well, I need to figure out how to actually convert some of these people coming to my website. So we've been partnering with a lot of the Sai community here, really interest in trying to understand best practices, and it's been a fun process for almost the last year. Things that you would think would help conversion don't necessarily help. And then the very, interestingly enough, other things that you may have said well, that seems unnecessary or busy on my mobile phone are actually improving conversion. So we've been really just sharing our early results in really encouraging everyone to participate. It's free, and we want to do is really come up with best practices and really help everyone essentially convert more and get more revenue. >> There's two things that strike me. It is you say that one is just the behaviour of a mobile phone in interaction is so different. You said. It's often when you're waiting, waiting in the grocery store line, you're waiting to pick up your kid your weight. So it is a much more kind of frequent fast in and out which which we keep hearing right. You need to connect with people over time in both the ways. But the other thing, when you say the conversion is actually not as high as you would expect. But at the same time we're hearing now that the content is so much so important and having things that aren't directly commerce to drive your engagement with that client in the way of content and forums and other things. I wonder if maybe that's why the conversion is there. You're getting him there, which is great they're hanging out longer, which I'm sure is a terrific metric. So maybe they're not converting because they're engaging with that other content arm or engaging with the brand. A >> combination of a couple things and one of them tear point is, you know, for better, Worse. You're easily interrupted when you're on your mobile phone to >> just trip when >> we have you, how can we quickly get to you? Pass that point of check out right? And I think part of that is, as you know, it's if you're like me, I will. Fat finger. You know, I have a difficult time typing on my mobile device. So wanted things we talk a lot about is removing that friction. So how do you make it really easy? See right. So if you're able to store your credentials, if you're able to make it simple to check out right, that's ultimately the goal for a lot of our merchants here, which is when we've got you. We've got to capitalize on your attention right at that moment in time and make it super easy for you to convert one of things that's been interesting about the optimized kind of mobile optimization results we've seen is that what we're finding is that a lot of people, what they're looking for at that point of engagement is coupon codes and you get distracted. You'LL think Well, I'm going to buy that. But maybe I need to go look for a coupon. >> Go back to my email me >> on And so you know So there are a lot of interesting ideas that were having as a community to share. How can we do that? How can we make sure? Maybe you get your coupon code, but you don't click off and disappear and maybe forget to come back on. I notorious for doing that. I'm also notorious for putting something in my shopping cart getting distracted and walking away. And so I think a lot of it is looking at these various ways to make sure you are back and engaged. And I think this is a big part of where the journey will go with the Palmers going forward. I think we'LL be looking at now that we've got your eyeballs. Now that we've got your time, how do we convince you this is going from a browse mode? Teo actual shop mode, >> right, creating more shop, a ble moments as magenta is marketing, material says. But also to your point about simplicity, probably for even any any generation is its basic marketing. Don't deliver a great piece of content and have a hyperlink in the first sentence that's going to take your audience somewhere else. Keep me in the experience. Use enough money. What do you say? Enough of the data to where it's going from. Creepy Teo >> Magic, Right, Right, right, right. If it works, it should be magic, right? But I already bought the tent. Now I need it. I need a sleeping bag. Don't keeps his enemy tent ads, right? >> Right. But that simplicity is sort of in AP in experience. Consistency is really key. Otherwise, your point and your point. We're doing this often while we're doing something else. There's a lot of multitasking going on. Make it easier, but also use the data with these systems that you're integrated with to know exactly. I bought it sent. I don't need one, but I might need that these other things >> right, right. And I think that's really where things are moving with artificial intelligence and machine learning We're trying to understand us a shopper and be able to predict right What else? You know, Bond from the tents. Now, maybe it's time to get a low. You know, uh, camper, maybe that's your next step up, right? Maybe you move into an RV. Who knows? Right. So I think there are evolution's to that buying experience >> with other evolution. Which people is that the very beginning was the alternative payment methods, right? Not not just your basic credit card or cash. And I don't know. It's a lot of people know that you guys have venmo, which if you have kids, you know we don't have young kids. You don't know what Venmo is. I wonder if you've got a take on, you know, as these alternative methods by come up and then we're also surrounded with alternative financing types of platforms where they're not using traditional FICO scores. They're not using kind of a traditional apply get approved process. It's really dynamic on the financing side as well. >> Yeah, onto your point. So PayPal. One of our best kept secrets I like to say is that we have both Braintree and Venmo is part of our overall services and then even broader than that. What we've done is packaged up the ability to really think about alternative pay methods based on what region you're on as well, because depending where you are outside the U. S. You might actually use a completely different payment method. And I think for us in the U. S. Were not as familiar with some of these other payment options. And what it does is it really allows for a lot more cross border trade as well for our merchants as they would look and offer kind of what is most relevant again. Get to you to go from brows mode to actually check out mode and to get to that actual conversion piece. So that's one of them. And then I would say, just generally on the credit comment, we actually credit at PayPal as well. And what we're always looking at is what our other ways we can help people finance and really kind of worked through the evolution of payments. I think some of the statistics that you've probably heard related to savings in the US, especially it's a bit staggering that we have, on average, uh, majority people have less than four hundred dollars in savings there, one paycheck away. And the reality is, it's tough. That's a really, really tough. And so I think, to be able tio, have a source of credit where you could bridge that gap and, to your point, not have to go through the entire credit processes. Sara Lee I think having those options are always good. >> Talk to us about what you guys are doing with Walmart. He showed that you came here this morning that it was very interesting from a collaboration. A partnership standpoint. >> I'm very passionate about this because pay panelists overall has a mission of democratizing financial services, and I think we're very fortunate being in high tech and being in the situation. We are where we're able, Tio not be intimidated necessarily by all this new technology on all the different options out there. So the partnership with Walmart was at the end of last year, and it really was looking at How do we get people access to their papal dollars easier, Faster and we continuously see this divide between the digital on the physical realms of accessing money. And so we opened up an option partnering with WalMart for us, which is it's really easy to rip a pal out. You bring up a unique bar code, you can go into a Wal Mart store and essentially like a debit card. It debits it out of your PayPal account and the Wal Mart cashier hand. You're the catch, which is super convenient again and an easy way to get to your money if you need something immediately. So I'm really excited. Proud of that, >> he said. You launch that last year. Some of the data, the market data that demonstrated that this was a good direction, her paper out to go in to be able to open up. This is a CZ, the ability to give people more access to their dollars, whether they're online or in physical locations. >> Yeah, I think it's someone of those overall statistics. We look at a lot because we're really looking at continuously bridging our open two sided network. We've got this great merchant face twenty one million merchants and then we're at almost round track to be almost three hundred million consumers, and we can we look at the consumer side and you think about Venmo you think about papal? We really started as a peer to peer right now, right? Oh, I owe you twenty bucks for dinner last night. Let me pay, pal. You that money, let me venmo you that money. And at some point, the question becomes will. Then how do I easily access my money? How do I make sure that I have access to it again? Not just digitally, but physically. And I think when we're looking at those realms, we're looking at more options to give people that ability, that if they need to get to that cash quickly, that can get to it quickly. They don't need to worry about getting to a bank. Um, you know, I think the reality is it's easier to get to a lot of Wal Mart stores in the U. S. Then it is necessarily to every bank out there. And so I think we're constantly looking at where can partnerships really add value to our overall customer base? And as I mentioned this morning's keynote, I love when partners really can work together and it becomes truly, you know, a little bit of a trite saying. But no one plus one is greater than two scenario, and I think when you can do that, it adds so much value to both sides of the equation. That's was really exciting for me. That's why I love partners, >> but also giving cut consumer's choice. Where you think this morning in your keynote, you showed this cute picture daughter approved your girl's in that ten years ago and then today, and, you know, ten years ago you couldn't just go in on happened order groceries. Now you were saying, when you know your mom would have to get multiple stores to get what you want, and now we can get it so easily. But there's also this sort of interesting dynamic where people still want to have that physical interaction, depending on the type of product or service. So being able to give customers that choice of being able to transact it through the app online or being able to access their money, for example, your Walmart. I mean, oftentimes, if I'm running out running errands and I don't have my wallet, and I know all right, I know the stories I can use bright certain payment methods from my phone, and that's great because I had that choice. And that's something that seems like PayPal is working to facilitators meeting consumer demand. Where it is. >> Yeah, I think that's the reality of what? Where we live right now, which is our customers want us there at that point of engagement. So don't make me necessarily. Come, Teo, you I would like you to come to me and you know, for better. Worse. It is a little bit of the overall experience that they're looking for, which is to say, I've got my favorite places to either shop or engage on my mobile device. So make it easy for me. And I think that's ultimately what we're kind of looking for. I know is a working parent. I'm always looking for convenience than I've just said. I'm gonna write a book on convenient parenting like that gets work for me. >> That was part of that. We'd be a bestseller. I think parents of humans or canine think we could all use any inspect a >> furry child as well. So yes, >> I'm curious what we're going to see in the next year, too. With that conversion of actually enabling an organization to not just have a great mobile experience, whether it's with like progressive Web maps that they were talking about this morning. But it's one thing to have a great mobile experience. It's a whole other thing to convert that to revenue. So curious to see with partnerships of papal, for example, with Beno how merchants of any sides are actually able to start increasing conversion from visitor to revenue. >> And I mentioned it as part of what we're doing with what we're calling smart payment buttons. And I think that's smart. Payment button concept is really again focused on giving you options to check out with whatever is easier for you but also looking to say, Let's make it easy. So how do you do that without having to type everything again? Because if you're an avid online shopper like I'm not, it's It becomes tiresome to feel like you have to sign up at every website, or you have to enter all your shipping information again your payment information. And so I think it's really looking at How do we give you that digital wallet access so that you have the ability to make it easy? Yes, and I think that's ultimately What we're kind of all looking for is how do you make it convenient? Easy for me to do what I want to do and do what I have to do. >> Spend more of my money. Thank you so much for joining me on the Cuban. Talking about what you guys are doing. A papal with your partners with Gento, etcetera. It's very interesting. And we look forward to seeing great things to come and not focus by long Communion. Parenting? Yes. Watch out like an advance. Copy you? Yeah. Thank you. Pleasure. Okay. For Jeff Rick, I'm least Martin live. The Cube is alive. Magenta. Imagine twenty nineteen from Las Vegas. Thanks for watching.