 From San Francisco, it's The Cube. Here's your host, John Furrier. Hi, I'm John Furrier with SiliconANGLE The Cube. We are on the ground here in Silicon Valley with the CEO and co-founder, Mintigo, Jacob Shama. Welcome to The Cube Conversation. It's great to be here. Thank you. Mintigo is one of those companies that's on our radar. Obviously, we're covering the cloud, we're covering mobile social. I'll see big data, and we love data science. We've been doing the Duke World and these shows for many, many years. Now you're starting to see data science attack real-world problems. You guys, Mintigo, target specifically predictive analytics, predictive marketing, as some call it, but there's a science behind it. I got to ask you, I want you to tell the folks, they might not know Mintigo. What is Mintigo, and where did the idea to start it, and where did it all come from? Sure. We in Mintigo believe in the power of data science. We leverage data science in order to fundamentally change the way that people sell and market. So, Mintigo is a predictive marketing solution that actually focus all the attention, all the energy of the marketeers and the salespeople on those prospects that eventually will become a true customer, avoiding all the noise, all the people that are actually not relevant for your offering, and then actually match for each and every prospect by offering the right message, the right campaign, and the right channel. So, you can think about it as a navigator, a marketing navigator that actually recommend for you, a teach and every point, which is the best action to take as a marketeer for this specific process. Is it a technology company or is it an agency? Sounds like, I mean, a lot of people talk about what you just said. It's like a lot of agencies and a lot of, you know, customer-centric organizations. Are you guys an engineering company or more of a services company? So, this is actually a product. This is the revolution that really happened. I think it's a true SAS product that provides you this ability, this capability of really transforming the way that you do marketing. So, each and every marketeer can access this platform based on our data and based on our infrastructure and actually leverage this data science for his advantage. And so, it's a very accessible tool that every marketeer can and should use. Trust technology. It is technology. New technology with a very accessible rep that can really be relevant for everyone. Okay, so I've got to answer the question. How did you guys come up with the idea? How did it all come together? You guys having a coffee in the cafe and said, hey, let's start a company to solve sales problems or was it rooted deeper in some other passion or itch that you were scratching? So, you can say out of my accent that I wasn't born here. I'm Israeli. And the main idea we spend many years, you know, in Israeli intelligence and some of the ideas that evolved out of those big data analysis and the way that you really can track and analyze behavior, this was kind of the core idea. So, we are a technology company. Most of our engineers and our core technology is based in Israel. We came with this idea instead of trying to find, you know, bad people, let's use the same technology, the same concept to find good people, customers. And this is actually how it started. Of course, it evolved within this trend of marketing automation and this new wave of predictive analytics. And it's a perfect fit because what you do is you leverage big data. You try to find signals that are relevant for your product and you leverage that. I love sales lingo. You know, you hear things like, he's a good suspect. And that's actually the words that they use. I mean, a good suspect, I guess. So, machine learning, all this stuff that goes on is technology that you're very familiar with and certainly, you know, from an intelligence standpoint, you know, knowing pattern recognition, these are things that computers can do. So, I got to ask you kind of from the product question, because a lot of people are worried about this problem right now. You know, for the first time in modern business history ever, you can actually measure everything. So, you know, you've actually put the most expensive sales person in front of the right customer at the right time is the holy grail. Is that kind of what you guys are thinking about? Exactly. I think that one of the key changes is that now you can measure everything. It's not just the selling of the product. You can really measure before and after. What was the ROI before? What is the ROI after? What is the uplift before? What is the uplift after? And actually, we encourage our customers to check, you know, before buying our product, do a test, try to see whether we can really spot a true customer. And actually, we can show you that this is, the machine finds its customer, this is a true customer for you. And everything is eventually, you know, you just see the result, but everything is built on top of this big data, because everybody can do predictive, but in order to do a good predictive, you need this mass of data. It's exciting to see how real time and data and computing is hitting these markets that just weren't available before, whether it's advertising and media business or sales disciplines, they're seeing for the first time new solutions. So I have to ask you, what's the use cases? I mean, how does a customer engage with you guys? There's a lot of snake oil out there. We're seeing a lot of solutions that just, you know, smell like social sales, as they say. But really, there's not a lot of meat on the bone out there, and it's just a lot of kind of feels like a gimmick, some of the solutions and conversations out there. What makes you guys different? What specific use cases can you share? So let's take a company that has, for example, 10 different products. Okay, and there is a flow of demand coming from events, coming from the website, coming from, you know, their house list. But first what we are doing is actually the system itself, find what makes a good customer in terms of his profile, in terms of intent for a specific product. Okay, so there is kind of a routing in between the flow of demand to the specific offers. So we screen out all the people that are not relevant for the offers, and then we tag each and every prospect to the right offering. And then from that point, you have a specific group of people that are relevant for an offer, and then you can now execute on the right campaigns, the right message, the right channel, what channel will be the best for those groups in order to do conversion. So actually we are taking the entire funnel from the top of the funnel to the conversion, and kind of automated in a predictive way. Meaning we choose customer data and external data or both. So both, it's the strength of being able to predict marketing results is based both on your data, your house list, your CRM, and external data that you can bring on those people, on those companies. So you mash that up. Yes, exactly. And you automate it. So all that stuff you mentioned automated. Everything is automated. So whenever you create what we call a model, meaning that this is the filter or the screening method in order to evaluate whether this prospect is a good fit for a product or not. After having this model, everything is fully automated. We leverage online all the data that we can collect from the web that is relevant for this decision, and it's fully automated. It's a flow of leads that actually get to the point of conversion. So it sounds like a lot of buzzwords like automation or frustration. It sounds like the cloud to me. So you're obviously in the cloud, sad product. So the cloud's coming to sales. Okay, so final question for you to wrap this segment up and appreciate your time is what's the vision for the company? Where do you see it going out five, ten years? I see a lot of passion. You have a lot of domain expertise. You bring in some great discipline to a market that needs it. But what's the vision? What's Jacob's vision of the business company? So our vision is really to create this self-loving car for a marketer. I think that the technology is there. The data is there. The predictions are there. So I envision a situation where the CMO just guide the goals where he wants to go. What is the goals? And from that point, this is an automated self-driving car. It means for each and every deal, for each and every prospect, it matched the right product automatically. It finds the best campaign that will generate the impact with this prospect and eventually choose the messaging channel. Either the social one, email, or any other channel to really get the maximum response. And we are not very far from that. So are you excited by the whole internet of things and the mobile revolution? Yeah, I think that my inspiration is these companies like Amazon that take this prediction and data-driven marketing to the extreme. So recently they're filing for a patent around this capability of really predicting, actually starting shipping your package before you even order it. This is amazing. This is exactly what the revolution is. What a brain-implanted chip. I want to buy that. The doctor from my Apple Pay account. Jacob, thanks so much for your time. Appreciate it. It meant to go hot company. Now what's next on financing? Give us the stats of the company. How big? Close any recent funding? Do it around? What's going on? So we are backed by Socrates Capital. This market of predictive marketing is growing tremendously. After this very successful wave of marketing automation with the IPO of Eloqua and the acquisition of Eloqua and then the IPO of market on recently upspot, those marketing automation system meets this kind of brain on top of that. The data-driven marketing, the predictive, so every advanced marketer is actually looking into this solution. So it's a good time to be in this space and the trends are growing really, really fast. Megatrends are there. Social meets sales. I'm John Furrier. We're on the ground here in Silicon Valley. It's a CUBE conversation. Thanks for watching.