AI in Pharma Marketing with Nataliya Andreychuk | Pharma Content Strategy

AI in Pharma Marketing with Nataliya Andreychuk | Pharma Content Strategy, Personalization & Localization #pharmamarketing #aihealthcare #digitalpharma

In this episode, we talk about how AI is changing pharma marketing and communication. Nataliya Andreychuk, CEO of Viseven, explains how teams use AI to create content that follows rules and connects with doctors and patients. Please visit our website to get more information: https://swangroup.net/

We cover how marketing in pharma is moving from product-focused to useful and relevant messages. Nataliya discusses personalization at scale and how digital tools help make content faster and more accurate.

You will hear why data, CRM, and social listening help shape content strategy and how AI helps reduce time for localization and regulatory checks. The episode explains how communication between medical teams and commercial teams is becoming closer with smarter tools. This talk shows how relevant content makes it easier for healthcare professionals and patients to find answers and improve engagement.

Links from this episode:
✅ Get to know more about Steven Swan: https://www.linkedin.com/in/swangroup 
✅ Get to know more about Nataliya Andreychuk: https://www.linkedin.com/in/andreychuk 
✅ Learn more about Viseven: https://viseven.com/ 
✅ Nataliya’s Music Pick:  https://www.youtube.com/watch?v=Vh9sBLXBZII  

🔔𝐃𝐨𝐧'𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐨𝐮𝐫 𝐜𝐡𝐚𝐧𝐧𝐞𝐥 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬.
https://www.youtube.com/@Biotech_Bytes/?sub_confirmation=1 

🔗 Stay Connected With Us.

LinkedIn: https://www.linkedin.com/company/the-swan-group/ 
Website:  https://swangroup.net/   

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#pharmamarketing #aihealthcare #digitalpharma #contentstrategy #personalization #localization

AI in Pharma Marketing with Nataliya Andreychuk | Pharma Content Strategy

Transcript

Steve Swan [00:00:00]:
Next on Biotech Bites, Join me, your host, Steve Swan with Natalia Andrajcuk, CEO of Visiven, where we talk about pharmaceuticals, marketing and how AI is changing the world. Hope you enjoy it. Welcome to Biotech Bytes, where we speak to technology leaders in the biotech space. Today we have the pleasure of being joined by Natalia Andrechuk, founder and CEO of Vi7, a digital marketing company who works with biotech and pharma companies. Thank you for joining us today, Andrea.

Nataliya Andreychuk [00:00:36]:
Hello, Steve. So it's great to be here with you. So that's really a great moment where we can talk about the innovations, about the things where pharma is going to, about the trends and everything. So excellent. Thank you for the invitation.

Steve Swan [00:00:55]:
You're welcome. And before we get going, I want to ask our listeners if they enjoy what they're seeing and hearing to please like us and subscribe on YouTube, Apple or Spotify, wherever you get your podcast. So, Natalia, great to have you here. Ken. You know, I always like to start out by asking our listeners to understand, you know, where you came from and that sort of thing. So give us a brief, you know, introduction to your background and what led you to finding your company and what led you to where you are today.

Nataliya Andreychuk [00:01:25]:
That's great question. So thank you for that. So I have been in the industry more than 20 years already working from the provider side. So we are as IT software providers. So we are working with pharmaceutical companies, medical devices and we are working with AFAM cd who has the pharmaceutical units or life care units. So how I have been building this career for myself. So originally like I have the first educations as a teacher, pedagogical background and psychologist. So like there's a combination which is far away from the technology field.

Nataliya Andreychuk [00:02:16]:
However, through the interest and passion to technologies which is developing with the years I have been working in different software companies, software development companies. And that led me to the idea, what if just technology is not enough? What is that technology has the bigger idea underneath. And that's how me, my partners, my business partners were starting the company where we decided that we will be working specifically for pharma and life sciences, bringing the modern technology strands to the help of U.S. patients to receive the information faster, to make sure that there is enough tools, enough, you know, access to the important things from online and mobile applications going into the past. And today we are in the AI era and we understand even more. So that's how the company has been created. And the company is one of the biggest, you know, vision and the company's Motto I will say like through building the communication, helping pharma companies to build their communications. So creating content, creating, giving the tools now with AI.

Nataliya Andreychuk [00:03:54]:
So we are helping them to sell, to save our lives. So saving lives by improving communication. So that's how the company was born. And that was the motto and the main message for the company throughout the years. And it hasn't changed because like where we have started there was barely the technologies which already gone today we started with Flash going out, HTML5 appearing, the iPad were introduced by late Steve Jobs and then that was an amazing era because then the communication suddenly changed and the pharma rep appeared with the iPad in front of the doctor Healthcare professional. And we were so excited to build all of those content for all these devices. And that was like a fantastic change. And since then I would say we are following that change, we are changing, changing and innovating and we're there yet.

Nataliya Andreychuk [00:05:02]:
So like AI is changing more now we are like a couple of years back, who would care to talk to the machine? No one. And now like I want to start any of application, I want to do something first thing I'm doing, I'm talking to my machine to start the thing. So and here's like this change is driven even more by technology and human collaboration together just to make our lives easier, healthier, longer. So that's, that's how.

Steve Swan [00:05:41]:
Well, so it sounds like I guess what you're solving, right. Is marketing, marketing communications, marketing content. Right. With, with AI and working with those professionals internally to. To hone that, correct?

Nataliya Andreychuk [00:05:57]:
Yeah. And now like we are going to have even more exciting times. Yes, you can understand that long time medical information lived and clinical trials in this security bubble which was kind of disconnected from the commercial bubble where the messages about the pharmaceutical product, which is the life changing product always for us, for patients, right. So was communicated in the peculiar way. So they're a product centric communication very much about the brand, about the safety, about the mode of action. But you know like not this is the useful information, but not all is. This information is the information us patients are requiring. Right.

Nataliya Andreychuk [00:06:54]:
So because let us take oncology. So like even me as I have like there's now pink months I have been through oncology treatment for six years back. So me as being a patient I was required a certain information which is not about the, you know, bigger picture of how this drug is actually functioning inside my body, but about these small things like that, how to mild some side effects. Right. How to make this treatment less crucifying and more Merciful for the patient. So and now when we have, thanks God, a lot of competing medications, these small things are very important. And what is happening now on the background, on the background, the communication must change as well because now the bubble of medical is kind of connecting the medical information, connecting to commercial. And now when we will create the communication going to doctors and to patients, it kind of not product centric anymore.

Nataliya Andreychuk [00:08:09]:
It is about the product, but it is answering the questions because it is using those, you know, clinical trials information more and more, not somehow, you know, vectorized and you know, like and realistically making it marketing look and feel. It is using it in the real world language and helping actually to communicate to the communication between the doctors and their patients. So we are moving far away from having this monologue where we say product, product, product, product, brand, brand, brand to having really answering these small things which are interesting for us, for patients. So and we are with which we are going to our doctors and say, doctor, how I can have this effect somehow milder or how I can keep my life quality at least on the level closer I have been before. And that's, and that's helping Dr. Also to understand what exactly will help to his patient with this problem. With this problem and with this problem. And these small, small things are becoming very important.

Nataliya Andreychuk [00:09:32]:
And for us, I think the work is only, you know, is not finished for sure. It's only in the beginning where we need to make it more realistic and more relevant and more useful.

Steve Swan [00:09:47]:
You know what you're talking about. So I do podcasts, right, with a lot of CIOs and you're kind of combining two things. Well, you are combining two things that two of my CIOs talked about. I had one CIO that talked about the ROI on AI and where it's going to make a difference. He named three areas. One of the areas is exactly what you do is mark on marketing communications in that content, right? You know, communication with folks. The second, another CIO talked about the rise of the bionic employee, right? Using AI to make them better and more efficient at what they do to take the lower level tasks away so they can focus on the higher level stuff, right? So when you're working with the humans, like you mentioned, you, you know, supplementing them with AI plus obviously your market space is, is, is more common marketing communications. Combining those two, you know, is, is something that my CIOs within the biotech and pharmaceutical industry certainly are interested in.

Steve Swan [00:10:45]:
Certainly something that they want to think about and certainly something that I'm sure you see they're interested in, right? So you're probably expanding pretty quickly, I would guess.

Nataliya Andreychuk [00:10:55]:
Yes, we do. And this is, this is also, you know, like blessing and the challenge in the same time because when you are growing fast so it means you, you need to take care of the, that your products and your services, they stay relevant and they bring in the same level of value to your clients. And regarding these, you know, zones of the AI impact, I totally agree. So because from this content and communication space there are a lot of change, there is like a lot of game changing situation. So in our, in our world, first of all, the role of Marketeer is kind of evolved. So without AI, we were thinking about Marketeer who was kind of creating the content on their own, which has never happened because Marketeer needs to think and needs to think conceptually and strategically to make sure things are happening on the different level and engagement is happening on the entire different level. And what AI is bringing into the game, it's the ability to keep a close impact on the operational stuff. Because like once I'm with AI, I can find my content quickly.

Nataliya Andreychuk [00:12:23]:
At least like when this database is combined in this robust knowledge base and I have the access to medical bubble and it's not a bubble anymore, I have the access to needed medical information and, and commercialized content already with all of their key messages, with all of their, you know, modularized content metadata, everything like what was prepared by commercial. When I have the access and I can control these by my voice or by my prompt. This is totally a different game because I can have a message and AI will first of all help me to suggest what relevant messages and content was approved before what communication happened? Was it approved legally and medically? Do we have the impact on my target audience, which is not only healthcare professionals, it's also the patients group. Do I have the influence? Do I have the engagement out of there? Are they awaiting for that message? Then Amazing. If yes, so then whatever I need to do, I need to check graphical and the language. So then that's it. So and the copywriting, the translating, the graphic imagining is there, it's done by AI. And then we have already mechanisms.

Nataliya Andreychuk [00:13:55]:
Humanity is developing so fast that we have already mechanism which helps us to review and approve derivative content which was generated by AI. So only couple of months back I have been the witness of some conversations like, okay, do you want legally and medically approved the AI generated content? Good luck with that. And now this is no brainer, everyone is doing that. So there's even the images on the fly, the messages on the fly. And AI by connecting all the information, all the probability cases is helping us to do that also. That's an amazing effect we have.

Steve Swan [00:14:44]:
So do you take your system, your product and integrate it with your clients internal systems and do you create specific models or AI agents and then do you use their data or do you have your own data? How does that whole thing work? You know, from a technology perspective?

Nataliya Andreychuk [00:15:05]:
First of all, it's a great question, thank you. So and it is following the data world, right? Like the late latest concept of the data was like the oil, but we all know what happens with the oil and how it's triggering the bad things in this world. So now everyone is thinking about data as an electricity plug and play so that we are not storing it just for the sake of storage. So how it is working here with the plug and play, you can imagine that creating an AI agent you need the memory, the tool and the knowledge base. And creating the knowledge base you are using the access to the data you have at the moment. So by being us and having the platform Evizard and EVA AI, which is a sapper agent creating multiple interactions with the content via we are creating it. So what we are doing, our knowledge base is containing the entire medical and commercial information about the content. So it is taken from the digital asset management tools, it is taken from the approval tools, it is taking from the history of interactions, from the marketing automation tools.

Nataliya Andreychuk [00:16:33]:
Also what we are doing to understand the customer base, we are using this segmentation which is probably now almost every time lives in the CRM database of the client. However, it is not everything. So because the the future of all of that, imagine this is the knowledge base which must be complete and kind and reached. So I do not imagine that we will be having this node knowledge base complete without social media listening in the future. Imagine the fact that we don't want to be only product centric. We want to bring a word about how we can help the patients, how we can help to support all the things we have discussed before life quality, like all the effects just bring all the difference we have. So we need to have this social media listening data as well. So we need to understand in this area particularly for which we are developing the content and for this particular healthcare professional, there will be this and these groups of patients and their, you know, messaging and their, you know, posts in social media and they are, you know, groups which are creating the, you know, questions which need to be answered, their searches.

Nataliya Andreychuk [00:18:06]:
Everything is creating for us A knowledge base. So because we cannot take the content we think is good enough and to bring it for the good discussion, because we are just thinking this content is good enough for this Persona. We need to bring content which is good enough for this Persona and for the context of this Persona. That means for environment and like people who are living in that area and having this piece of that problem. And this is helping because then the content, the answers, the interactions, they will be meaningful and relevant because we will be connected on entirely new level. Not on the level of one problem, but the level of entire, you know, chain of problems which could be solved by this meaningful communication. So that's about the knowledge base. This is where the data plug in play.

Nataliya Andreychuk [00:19:09]:
So another very important thing is now like emotion, when we have the AI in the play and we are creating the content with graphical interfaces. So we are able to have a very interesting test which is qualifying which part of which representation on this slide or this email part, creating the biggest engagement by creating the biggest emotional positive emotion. So the biggest answer emotionally. So we now can test even that. And you can imagine that the content we will have in the future is not only created automatically, it is really relevant because we are testing it like before and even now in the progress, we are testing drama, we are testing the feed to the different operation systems and different devices. But imagine the couple months from now, we will be testing it for relevancy for this or that group of people for their emotion, engagement level and relevancy in that region regarding the social media. So what is going on, how people are engaged, if this topic will be connecting to what is going on in this particular area. So this is how relevant content will be.

Nataliya Andreychuk [00:20:49]:
And that means like our time will receive like even higher value because we will be not spending time on the content which has no value or irrelevant to us. And that means like this is exactly what we need to do with AI and this is exactly how this will be changing our, you know, our interactions day by day. So bring in more relevancy and having this time we have even more elevated in terms of value.

Steve Swan [00:21:25]:
Yes, and you stole my next question, which was where is everything going? And that's where it's going for that, what do you want to call it? Emotional intelligence? Almost.

Nataliya Andreychuk [00:21:33]:
Right, yeah, exactly, exactly. Because. Yeah, yeah, exactly. That's, that's great because everything, as you just said, everything, what is manually we are doing right now like some kind of, you know, we used to have it monkey work. Right. So in the past. So if we have some, I remember in the past to create some database, you were copy pasting things, you were drag dropping things, you were creating things manually. Now what is important, the important thing like you need to develop kind of thinking to make sure that machine will do the rest.

Nataliya Andreychuk [00:22:15]:
So and this is, and this is exactly the emotional intelligence and this is exactly how we have to be trained to interact with AI to get that level of interaction. We need to understand all the connections we need to wire to have the right result. So of course we are in progress to go there. But this is the very interesting journey because once we will go there we will be actually remembering the hundreds of slides of presentations we have been preparing for healthcare professionals as the old style of work. I'm like using polite, diplomatic tone because no one will be preparing hundreds of thousand slides. No one will be spending billions on, you know, content which is not used. Look like we are preparing all of that. We think the business depends on that.

Nataliya Andreychuk [00:23:18]:
And then what? And then we have 1.3 slide shown in 3 minutes of face to face meeting. So does it change anyone's game? So what is happening in these three minutes time we're showing one slide on the other level when we can see how people are interacting today with technologies. So if you have something relevant to say will your slides convert into podcast? And then people going somewhere in the car could be self piloted car, they are listening to your podcast and they think wow, this guy has some relevant thoughts and ideas. That's an interesting listening to make. So where we need to go. So this medicine is like a great change in my prescription plan. So what I need to do next? So I need to talk to this in this key opinion leaders or MSLs to whoms I need to reach out or somebody will reach out to me probably. So the format of communication is going through the hundreds and thousands slides to some minutes of short videos, some minutes of short brief podcasts with the relevant ideas and the feedback is given by is.

Nataliya Andreychuk [00:24:49]:
It was useful for me was relevant to listen to that how this changed what I am doing today. Right. So this is where we are going.

Steve Swan [00:25:00]:
So when you talk about, you know, that being relevant for me, you know I'm Steve Swan at Steve Swan Biotech, right. Am I going to be absorbing, you know, an agent or a model that you've built for everybody or is it specific to me?

Nataliya Andreychuk [00:25:18]:
That's a good question. It's a good question. It's on the level of personalization. I think the model will be able to personalize the information for every one of us with the Time like today we have like we have been before AI we have been fighting the idea of that micro segmentation or micro personalization level. Because imagine if we have to create for everyone the message using my. Our human capabilities. We will die because there's not possible tons of work and needed. There's repetitive, uninteresting work.

Nataliya Andreychuk [00:26:04]:
And when we see if AI can personalize messages for every user, that's totally easy. Every user today is a user of AI. So we given already so much information about our preferences, about our types of work, about our lifestyles, travels, eating preferences, I don't know, like parenting, everything. So our kids are given a lot of information to AI as well. And sometimes they talk to AI more trust. It's. It's very upset. More trusting than their parents to ask the advice or something.

Nataliya Andreychuk [00:26:49]:
And that's very worrying. So we have given the information about us just enough. So then any information we are consuming it's already personalized. Like we have. We can see now these baby steps when we want to search for something, when we want to ask for something with a pair like it's especially for us. And now we will be used to this type of behavior and we will expect that even so that going to any website will expect that someone will summarize it for us and just make sure that that would be summarized in the language that I used to have or like in my style of communication or how I absorb the information. I'm a little bit scared about that because we need as humans, we need to create a lot of guardrails and a lot of governments and AI police in the future. Because this is, this is also kind of interesting moments where AI summarizing the information could be used this information for somebody else's not very honest the behaviors.

Nataliya Andreychuk [00:28:11]:
So. But hopefully we will be. We will be protected against that at the moment. Still in the early days of AI it is an interesting, interesting features where we can go to the website and Gemini or ChatGPT or Pilot will give you this information in the way you need that. And you are not even prompting that they used to. To have your prompt. So. And they just give it to you so because you just meet that in that way that is.

Nataliya Andreychuk [00:28:45]:
So isn't that help?

Steve Swan [00:28:46]:
You know, it's just you got to think of this security and the governance around all that. You know, I mean, boy. And I'm sure you hear about that all the time, right? But from. From a marketing perspective, it's genius. It's great. It's going to work, you know, and, and I see why social media comes into play too. Right. Because that's where folks talk about their preferences.

Steve Swan [00:29:08]:
That's where folks share their, you know, what's working for me, you know, and these were, this is what, I don't know, this is what happened to me and this is what I use and this is how it worked for me or whatever, you know, so that's where a lot of those things come in. But you're right, I mean the governance and the security around all that, if the wrong hands get a hold of it, that could be a problem. So it is something that we're all going to have to think about and I'll deal with. You know, when I, when I, when I hear about companies thinking about AI or getting into AI in a big way, the first thing that comes to mind from that board of directors is governance. You know, what are we going to do, how we, how we protecting everybody, you know?

Nataliya Andreychuk [00:29:43]:
Yeah, yeah. I think at this very moment we're still lucky to enjoy that. So because there's like, you know, then the, the first days, like it's like in human life and babies young, it's such a adorable and enjoyable and the first steps and everything. And that's where we are in this stage with AI. It's adorable and enjoyable and we need to enjoy this time. So. But thinking about this parenting of AI, we need to understand that with the age, we need to put the rules, some guardrails and things in motion to make sure like this adult will not be the abuser. It will be like still very kind and very humble and will be still very much protecting humanity, not being against it.

Nataliya Andreychuk [00:30:39]:
So today to make sure this is working so we can think about AI in several angles. First angle to make sure it's everyday life so that we use it in everyday life to accelerate whatever could be accelerated. So make sure we accelerate our thinking, our capabilities like accelerate us in everyday life and use it wisely, use it with the governance around and protect it. The other thing, what we need to do is the think about the AI accelerator of the certain professional style. So talking about pharma, this communication and creating communication and digital assets. This is the master and training and education simulation of the educational sessions is the next thing which is upcoming thing where we can train and educate us with AI faster, properly. Then of course diagnosis molecules like clinical trials is something where we really need to see these I think evolution. This is happening every day and every day we can see new and new breakthroughs through this evolution happening.

Nataliya Andreychuk [00:32:05]:
And on the bigger picture we all need to start to be the strategic, thinking, thinking people. So to make sure like we are strategically think up front so what we can reach, if we make sure our knowledge base is growing, that we expand the areas where we can accelerate that. For us today, like even yesterday, even yesterday for us was a huge challenge to get to find the right content, to find the right message, to find the right format. To get from one format to another was a challenge. So today we are only thinking how we can get there because we know there are all the tools and means are there and we are thinking about this automated work we need to create and we are thinking work flows, the goals, the knowledge bases and the tools we are bringing just to get there. So it's, it's totally different game.

Steve Swan [00:33:16]:
Very cool. Very cool. That's awesome. I like that. That's good stuff. Well, so I mean I understand, right, understand we're doing here. I like what we're doing. I think it's going in the right direction and I think that that personalization, like you said, is both good and it can be scary if it gets in the wrong hands.

Steve Swan [00:33:34]:
But I'm excited as that continues to grow and I think most would be right because it's going to deliver us a message and obviously other industries would use that too. Right? But I think in our industry, in the biotech and the commercial industry for pharmaceutical, for products that are out there, it's a huge, huge, huge market, which makes a lot of sense. So now, um, you know, to continue the conversation or maybe right here, as, as we're, as we're getting near the end of the conversation, I guess I should say, is there anything more that you think we should touch on, talk about, hit on as far as this market space is concerned?

Nataliya Andreychuk [00:34:16]:
I think, I think we could talk about localization and about opening the new market. So. Because it always was a challenge. So once we have the new market, there was a challenge of understanding the regulation, the challenge of localization, your marketing campaign to understand the tooling. So I think with AI on board, this problem is disappearing because at least we are solving this problem easier today because we are not only finding the right content and recreating out of that. So while you are launching the new market, so you have pretty good translation at the moment and you can have the medical regulatory check over the local regulation pretty accurately right now. So that's a big change which is happening as we are talking. So in the translation and localization stream, we are really accelerating right now.

Nataliya Andreychuk [00:35:25]:
And that means we will have to Cut time when the new brand, the new medication is entering the market or we have the new information to be updated to the website to get the new information to the doctors and to the patients. So that means we are accelerating within this scaling problem. So this, this is a very cool things to do and for marketeers and for everyone. So that's. This localization stuff is there. So that's. That's totally, totally great, great thing to. To talk about because years ago we were all thinking about this automated translation but it wasn't good enough without a eye on the scene.

Nataliya Andreychuk [00:36:12]:
It wasn't good enough now with using like there are different models used for translating services, but there are definitely decent models which could be used. And I would say even if you will be comparing between. I wouldn't now make a promotion of LLMs. So I don't want to. But I want to make the point that you know, whatever interface for the AI translation you are choosing. So you are choosing between couple of models and your knowledge base. So. But that means they are all rather good now.

Nataliya Andreychuk [00:36:56]:
So because they are learning very fast and we are receiving this capability very fast. And every content creating platform, authoring platform now have this capability. Almost everyone very tight and very neatly integrated which is making us accelerating pretty fast. Also this medical legal approval. So once we used months to get there, so now we can accelerate. Because many things of what human was checking before are overruled by AI. So like you are not checking grammar anymore manually, right? You are not checking references and connection references to the documents and medical documents. And to have all these connections to be checked that's a lot of time.

Nataliya Andreychuk [00:37:49]:
So we are also overruling that time. So there's this time is spent by AI and can be very neatly checked out and very fast way. So that's. That's also very good thinking. The differences between legislations of the countries could be checked. The updates inside the markets on terms of different legislations and cases could be checked. So this is where everyone is heading. Like imagine even a year before to have for the sales rep for medical representative in the field in the CRM some free text field that they can type as impossible.

Nataliya Andreychuk [00:38:33]:
Because who will approve that Today everyone say AI will approve that of course and will allow that or disallow. Because AI will be checking with the human is typing is violation. Non violation. Is it possible to type a free text on the system? So and this is also like the breakage because then the medical representative is a powerful person so they can type in the system. They were not allowed to. Because they need to approve everything before they do.

Steve Swan [00:39:06]:
This is good stuff. This is cool stuff. I like it. Yeah. No, and it's, it's tying it all together, right? And then it's constantly learning from all the data coming in. That's cool.

Nataliya Andreychuk [00:39:16]:
Yeah.

Steve Swan [00:39:16]:
Cool. Well, I appreciate your time. Thank you very much. So. So I don't know if you watched any of my other podcasts, but I have one question. I ask folks the same question I ask every guest at the very end. And it's more of a personal question, but not too personal. Okay.

Steve Swan [00:39:32]:
So I like live music. I go to see a lot of concerts. I see a lot of shows and things like that. And, you know, I think music is kind of the, the universal language, right? We all have different touch points, we all have different feelings about music, and we all like different kinds of music. So I always like to ask my guests who, if they've ever, if they spent any time seeing any live concerts or any live shows or anything like that, who would they say has been their favorite live band or act to ever see in their entire life? And if you haven't seen any, you haven't seen any. But I like asking that question because it gives our, our viewers and our listeners a little bit of insight, a little personal insight into the individual, but not too much. Right? So I'm throwing that question at you. Anybody, have you, do you see live music? And have you ever seen live music? And if so, is there one that sticks out to you? That was my favorite show or favorite concert.

Nataliya Andreychuk [00:40:27]:
I think maybe you are not listening to them because it's very specific and they are Ukrainian. They are not international. I love, they called Okan Elze, and this is Svetoslava Karchuk. Very, you know, it's, it's like Ukrainian Sting, I would say. He is, he's, he's so emotionally touching and purposeful. Singing and very, very much everything, a little bit of everything, of power, of romance, of, of, you know, Ukrainian global mindset. So everything of that. So I love them.

Steve Swan [00:41:17]:
So very cathartic for you, right?

Nataliya Andreychuk [00:41:21]:
Yes, yes, it's very, it's, it's really great. So I, I really love that. So. And I don't know, like, I, I, I, I genuinely love music and I love classic music. I, you will be maybe, you know, like, scared a little bit. But I love listening the classic music, like Chopin, Mozart, whatever they have. I, I just listen when I'm working. I just, I don't want the words.

Nataliya Andreychuk [00:41:50]:
I want just the music and the classic music. Is helping me to work and that's, that's how. And also like with the romantic music. So there are a lot of romantic music I can say like I, I will not, I will not promote anyone who has already many followers.

Steve Swan [00:42:12]:
It's okay. It's okay. So do me a favor, once we're done, if you could send me the name or a link to the local Ukrainian. I'm gonna put it in the podcast here so people can look because I don't know what's what, what we're talking. So I could do that. If you could send it to me, that'd be great. And then I'll post it and I'll put it in, in, in the link, you know, in the podcast for us. So if anybody has interest, they can click on it and, and listen or check it out, you know, so.

Steve Swan [00:42:39]:
Because as you can imagine, people say, you know, I don't know, Bruce Springsteen, YouTube, you know, big bands. Right?

Nataliya Andreychuk [00:42:46]:
Yes.

Steve Swan [00:42:47]:
And that's not what you're saying, which is good. So I, I like hearing about local new things, so. And hopefully my audience does to too, so. Well, I appreciate your time, Natalia. Andre Chuk from Vi7. It's been great, much appreciated and you know, if maybe in the future we'll have a follow up as you're, as you continue to grow and you solve more problems, but, but thank you very much. This has been great.

Nataliya Andreychuk [00:43:14]:
Thank you, Steve. I have sent you the link to.

Steve Swan [00:43:17]:
Oh, you send me the link?

Nataliya Andreychuk [00:43:18]:
Yeah, in our chat. So. Of one of the leches. Love. He's actually, he's traveling a lot. He's traveling a lot. He's like on the global stages of the world a lot. But he's truly, truly Ukrainian and truly authentic and I love his voice.

Nataliya Andreychuk [00:43:38]:
He's like a very harsh voice, but a lot of, you know, strong soul in that voice and I love it.

Steve Swan [00:43:47]:
That's great. Yeah, that's awesome. Well, thank you very much.

Nataliya Andreychuk [00:43:51]:
Thank you, Steve.