 But first this talk was very informative, but I fear that a lot of people are just going to get stumped by the word schema. So for the convenience and understanding of the larger audience out there who don't speak the same technical language like both of us do, can you explain schema in very simple words for us? Absolutely, absolutely. So let me let me take, you know, explain that by a small example. You know, we all know events, right? We all know events. Now this event, for example, this event when, you know, when, when this talk got scheduled, there are different content properties in that talk. There is a time that it starts. There is a start time. There is an end time. There is a speaker, you know, which is me right now name, right? There is an organization name. There is a, you know, link, right? Now these are all different content. Now there are two ways of inputting that content into a content management system, right? Either you can club on all that, you know, in one, one text field and input that all that content into a one text field, or there is another way where you say start date, start time, end date, end time, right? Speaker name, zoom link, right? Topic, right? And have all these different fields. Now, the two, so from a, from a, from a front end point of view, both are displaying the same content. There is no difference in the, from a front end point of view in the same content, right? It's still showing, you know, the both of the content are showing the topic and the name and the speaker name and start time and time. But on the back end, where you have defined different fields, what it is doing, it's a very structured content. That means the computer, the system understand that what that, you know, content means. But if you put that all in the text field, the system doesn't understand what that means. That means the Google doesn't understand what that means. Unless and until, you know, it does a lot of effort to essentially from an LLP point of view to, you know, find meaning out of that content, right? And that is the difference between a structured and an unstructured content. And schemas are essentially predefined structures to the structured content. So for everything, you know, properties, real estate, you know, you know, bookings, you know, products, every damn thing, cars, loans, everything out there, you have a schema, right? I mean, you know, you know, somebody actually claimed, you know, I asked this question to one of very senior person in this industry from an SEO point of view, and he said, if there is 97% of the use cases out there, you know, there is a schema out there. There is a structured format, right, which is already out there. So what do you have to do when we say implement schema, that means make sure that when you're defining content type or the fields in your content, right, you adhere to that structured format of schema in that, you know, you know, in that your content type. I mean, made sense. Yeah, yeah, absolutely. I'd like to continue on this. But before that, if anyone of you in the audience have any questions, please post them on YouTube or on zoom and I'll be taking them. So continuing on this, this bit itself. So one of the things that I would add to the schema is that if anyone has not come across schemas just go to schema.org. That is probably the starting point wherein you can see one of the largest repository of the structures that are accepted by or agreed upon by the by the web community and lots and lots of organizations are honoring that. And as as Gaurav just pointed out, there are predefined formats by which you can define and therefore inform our program program or a or a software that this is how this is an event. This is a recipe. This is a person. This is an organization and so on and so forth. So this is a very, very, very essential part of having information in a structured way on the web. But Gaurav, you said that even Fortune 500 companies don't implement it. Why do you think that happens? Why is that the case? The majority reason is essentially, you know, awareness, right? You know, it's not the only reason. It's always an afterthought. It's always an afterthought. And what that also means is that, you know, it's a pain. Right. So for example, New York Times, right, as I said earlier, the structured when they started implementing cooking, right, schemas, right, recipe schemas. That means that they went from, you know, few, you know, seven, eight fields to a 50 field form. Right. Now, what you're asking the content writer to input content in a 50 field, rather than a 10 field. Right. Now that's a, that's a huge ask, right, if you will, that's a huge ask, right? There's a lot of conflict. There's a lot of traction. I mean, you know, that, sorry, there's a lot of issues, right, that happens if you start implementing such things in a large organization. But having said that, right, there is lack of awareness, right, in the digital leadership, most of the times, right. And they know about schema, they have heard about schema, but how important it is, is something that's still very, very few digital leaders understand. Right. And who do you feel should be championing this in the sense that is this something that the developer should come in into the organization and tell and talk about it, because that's what I feel at least personally because it's definitely quite technical nature. But it is, I feel that it is, it is going to be hard for someone who is owning a business or running a business for them to understand that upfront. So what where would you feel should be the highest responsibility for introducing this in an organization, do you think this is, as you said, right, the, this concept is extremely technical, right. Right. And, and, you know, so that's why, you know, the tech folks need to champion this, right. But what they have to be a little aware is that, you know, it doesn't only involve, you know, the technical implementation, right, it involves a huge buy in, as I said, right from content teams. Because now they have to input the content into a much, much bigger fields than India, right. It always also involves, you know, buying from the business teams, because now it means that, you know, for the same content, which you were taking, let's say, you know, it's going to take, you know, much more time for building the same kind of content because it's a much bigger structured format to input the content. Right. So, so that's where and what also does is that it forces, right, it forces the people who are building content to adhere to a particular format so that they can't skip a particular field and they say, I'm not going to put this information, right. But because then, then your, it's the information is incomplete, right. Right. Right. That's where it means a lot of buying from the, from the business, right. But showing the importance definitely lies in the hands on the technical people, because in the end, you know, they understand the concept and how it is affecting the overall implementation. Absolutely. All right. Just moving on coming to voice a little bit more than structured data. Some of the examples that you just shared on in the talk today, are they really voice related searches or voice searches or they could have been just searches typed searches as well. So what is the element of voice component in the search examples that you shared over here. Sure. They only coming up in voice searches. So NLP for natural language search, you know, is, you know, I mean, when, so what, so can the natural language search happen, can happen on a mobile or a, or a web as well. Absolutely. It can. Okay. It needs, you know, there is unfortunately Google doesn't open the data and, you know, and, and, and the reason that they have got is that they don't want to bastardize the, the industry that it, you know, the way SEO industry got bastardized. Now, you know, but, but, you know, it is, it is at least the best we can do, right. The best way that we can get the data around, you know, natural language search. But no, but voice or no voice, you know, the point here that, you know, the content is usually not optimized for natural language search. Right. You have to optimize because the way the movement, right. And that's where these, these two sites are important because even Google, the way it treats a natural language keyword versus a normal keyword is very, very different. Right. When, when I say, you know, the content is not optimized for natural language search. I don't mean that, you know, you are not ranking on it. You might be ranking on it. But are, is it being, giving the information, right? So for example, right, for the same, you know, if you see that right here, you know, Google is, this is even the first video, but it's not that, you know, he's not giving the importance. It is, is lowering down the importance of that video. But you see that, you know, that, that she is still primed and said that this is out of this long video, right, long 18 minutes, you see that 18 minute video, right. Yeah, you know, these are the eight seconds that you should be looking at. Right. Make sure that mean that, you know, you have to always be very, very aware that for all those searches where you are, you know, where you are essentially coming on or ranking on how are you, you know, giving that information very, very quickly. Right. And that's where that means that, you know, so, you know, and that's what you have to focus on. Right. You know, don't have to really get into that argument of whether it's voice, not voice, but how do I optimize the content for natural language searches and give that information very contextually. Right. I agree with you because I do remember about. I would say about us, even six, seven years back, when you would search something like searching on Google used to be a skill that if you can't find the thing that you are searching for that means you don't know how to put in the right keywords or put in the right set of terms so that Google can understand what you're looking for and give you the right thing. You would almost as tech people, we used to blame our peers around that you don't know how to put in the right keywords in Google to get the result that you want. But Google is getting smarter over the last six, six and seven years. So it is now less about your ability to put in the right keywords, but more about the responsibilities taken by a software like Google are to figure out what is your intent and then give you the best result as possible. And for that reason, as you pointed out, if we give structured data, that means we are helping Google more. We are helping a software like Google learn and understand our content. So what do you and in last week, I was, I had given a brief session on technical SEO and and I was pointing out this this bit last week itself like the concept of SEO now has changed into how can we make sure Google understands us better than to preempt or or or in any way game the game the system and optimize for certain keywords and all. So what are your thoughts about this, like the entire talk that you gave today seem to be something very much on the lines of how to be do better at SEO in the modern era than specifically voice. So any comments or any thoughts around this? Sure. I mean, yes, you can you can definitely say that right and and and in the end right in the end, what see what what end up happening right so if you if you build your content in a way that you know it is and and I always when it when I when I used to do this talk earlier right and I used to go into a lot of critical concept and I really slowly and slowly realize that people are more interested to understand more practical implications. Okay. And what that's where I changed my talk, you know, in the last year or so, is that you know, what are the what are the what are some low hanging fruits that you can do right for for for building, you know, for optimizing your content for the voice. Right. Now, so yes, is it technical as you absolutely be technical as you know, but you know, but it is it is very very focused on to one part of the technical SEO, right, which is just just how do you optimize the content, or how do you tell your content, you know, Google, much better about that what that your content means, right context on the content, right, which is the bedrock of the voice optimizing your content for the voice work, right, because you know, you know, if you remember right earlier, the context precedes content content in the voice world. So the more you more you optimize your content for the voice world, right, the voice first world, right, the better, you know, chance you would have to you know, essentially run and the better chance you would have to, you know, you know, you know, essentially heard by your consumers on the keywords that you want to them to know information on, right, so it goes hand in hand right so yes, the more information, the better you tell Google what your content means, the better, you know, chances you have in the voice world. So I would take a step ahead and say that you're you're probably optimizing not just for voice search but also future of all forms of search is that absolutely. Absolutely. Okay. So one of the other things that I had in mind is that do you feel that there is a, it's kind of related to this because you said, people have been saying that voice doesn't work, something like that. And in my context at least, and I don't work with the same set of clients that you work with but give me some information around that a lot more organizations are focusing on ads and digital ads to get discovered than focusing on organic search or search optimizing for search in the first place. Maybe because it gives quick returns, maybe for some for me for other things as well, but, but largely organic search or ranking high on search doesn't seem to be as exciting thing as it was say, five, seven years back. Are you observing a similar thing or our ads taking over more than optimizing for search. Well, if that's the case, I mean, it's your clients are a lot in trouble for, so I'll give you a very quick example. Okay. If the ad and you know it's a little, you know, different from, you know, what we're talking about why is but you know just from an ad point of view, right. So if the content or if the if the strategy for the traffic acquisition strategy, okay, if ad centric, and if it is not being optimized, right on how your, you know, how it would end up bringing more organic traffic in the long run, right, then, you know, there's a big problem in the strategy. Okay. And even in that, you know, ad acquisition strategy, that the usual way or the right way to implement ad driven acquisition traffic acquisition strategy is when you know that you actually use ads to give Google a signal that this particular page is important for the users for a particular keyword. Right. Okay. Right. And, and, and, and essentially keep on optimizing it for right so for for the users are driving in so if a person come in and if you have a let's say 70% bounce rate from the ads, right. And that's why I don't really like this, you know, the, the landing pages concept of ad driven strategy, because it's very, very tactical. And if it's, if a, if a, you know, if if a company is doing that, then it's they're very thinking short term, right, they're extremely short term. You know, when I work with clients on an ad driven, you know, traffic acquisition strategy, I bring back them to the website to do a landing page for sure they had to have a farm. But the whole idea is that, you know, how, so if I'm able to let's say bring 1000 people from ads to a page and 1000 people if I'm able to reduce my bounce rate to a place where it's 20 30% right on that particular keyword. So it's a very, very good chance that it will give the signal back to Google that this is a good page that people are liking on that particular keyword. Okay. Okay, so if your ad driven strategy is not working on that lines, right to optimize, you know, your content, your layout, your structure, your CTA for to ensure that you have a very low bounce rate. So that you can find, you know, get a lot of more, you know, organic results in the future, then there's a huge problem in that strategy itself. Right. Sorry, go and complete your point. Yeah, and just to just to answer what what you originally asked, I think, you know, and the way that, you know, even the large clients. Organic acquisition. So even the video that I showed earlier the logical video, it does talk about the organic, organic traffic acquisition. Right. And it is definitely a central whole centerpiece. Right. Of, of, for a lot of organizations, right, because they have to think long term they have to think five years they have to think, you know, 10 years, right, especially the large enterprise. So they can't think of ad driven strategies, which is extremely small, right, a month or a couple of months, you know, kind of a strategy, right. And, you know, you can't, you know, it is two different things. Right. So, you know, you, you can have a one two month strategy. But, you know, but that would not mean that, you know, you should not have a long term strategy. Right. And long term strategy is what is going to anyway give you results. Right. I do have a question around the thing that you explained when you say that from an ad if someone comes to your, your site and the bounce rate is low. The fact that Google gets a signal around it. So is this something that is documented publicly known or something like that, that this is a signal. There is a lot of growth hacking articles around it. Right. Okay. And not only Google, right. And it's a quick, you know, tip, right, for anybody out there, you know, which have worked. I don't know who wrote about this. Probably not me. I don't know somebody, somebody wrote about it. I don't remember. Exactly. So, so if you're, let's say if you have, if you're writing an article on a medium, okay. And a lot of people have actually seen that. So see everybody. Okay, let's look at Tik Tok algorithm. Okay, let's look at like any, any fights algorithm. Right. How do you come on the featured page? Okay. You know, or Tik Tok or, you know, everything, they essentially look at the particular content and they say, how much traffic is this content getting other people actually engaging with that particular content. Every damn, you know, platform works like that. Right. Right. And, and, and, you know, so for example, if you're writing an article on medium, right. Right. And you want that a mid medium article to get featured on that featured page. Right. The dirty hack is that just run a very low dirty, you know, Facebook ad, which is, you know, with a low CPM. Okay, and a low or a low, you know, 50 C. Right. And just, you know, send some traffic, initial traffic to medium. So that's going to give a, give a signal to medium that, hey, this is something that people are liking people are reading. Right. And it automatically pushes it back to, to the feature page. It's a, it's a very well known hack actually now. I mean, have these have medium said that no, but are there any. I agree. You say usually I don't recommend these hacks. That's, that's my stand. But, but coming from God of this is something that if anyone wants to practice. Go ahead, give it, give this a shot. But with specifically with Google, it sounded because I have a counter logic in that is running through my head at this point of time, because if, if someone was paying ad revenue, if Google is getting ad revenue on something and then learning that this is actually working. What is the incentive for Google to actually start organically raising it because then it, it then it would end up losing that revenue also. On the other hand, I do get this, the understand this point where, where in all these platforms want to show the highest hit thing first, because they all want to show that they're best content out there because then only more people will have trust on it. But the revenue will start getting reduced if they started using that as a search signal. That's what it doesn't, it's not going to help Google in the long term. Right. And I think Google definitely understands that. Right. So, and, and this piece, you know, people have seen benefits. I have seen benefits with the clients, right. And, you know, with, you know, with targeting. See, in the end, you know, Google wants to make sure that, you know, it is serving content to people, which people find interesting, right, which people find worthy enough to spend their time on. That's the whole goal. Okay, which we are working on. Now, if in the long, if, if, you know, Google, don't, if let's say, you know, just take, take a moment for a moment, right, Google, you know, it doesn't push that back on the organic acquisition, right. You know, I mean, and the person, you know, and there's a good content that's being created, right. At one point of time, the organization will run out of money, right, to run ads. Okay. And, you know, and, and, and I think that's, that's very counterintuitive for Google in the long term. And Google has to help business, right. I mean, it's kind of universal that we have to make sure that we have to do the right things for our clients and the right thing would happen to us. It's a very, at least I know, but it works all the time, right, to answer all this, right, do the right things, the clients and the right thing happen to you. And I think that's what the motto is for business. And so it will not help Google in the long term, right, even if it's, if even it's going to help in the shorter term from ad revenue, not in the long term for sure. I mean, it is going to fuel if it helps the business, it's going to help them in the, in the longer term, right. All right, makes sense. Absolutely. Speaking of the voice based search again one more question I had was how if someone has to validate that voice based searches are increasing and obviously there are facts thrown like about 50% of searches have become voice based and all. And I assume it these these numbers that that come just this is just a side question to you, Gaurav, do these number combine all the bots and Alexas and Apple series and all of that combined or is it just voice search on Google, which is, which has increased really to a very large proportion of global So the 50%, you know, the number actually came in from one of our senior executives of Alibaba many, many years back in, you know, in, in a conference and that's been going around and, you know, for a long time people, you know, so yes, everybody did take that but very few people realize that actually where that number came from. Yeah, but actually came from Alibaba many, many years back that by 2020-50% of the searches would be voice based searches. So very old, you know, The, the last time that Google shared the data, okay, was 2017 when Google shared the voice based data. And, you know, and there is actually, I think, Indian Rajan and someone who had some of the article and some you can you can quickly Google it but I think, 2017 was the last time it opened the data. Right. And what it said that on mobile, you know, again, you know, I don't have that handy but in mobile, right, the, the, you know, the voice searches are the second number of searches, right. You know, and, and there was a number to it, you know, you can even quickly find it if you Google it. But after that, Google has not opened up the data. Neither Alex, neither Alex nor, you know, any of them and and in the last conference, there was one of the conference and I was actually talking to a panel which included all big shots of this industry. And I did raise that question that why you guys are not opening up the data. So the answer that came out from that panel was that because we don't want to bastardize the industry, the way the SU industry got bastardized. So I think Google just don't want to open the data. Okay. And that's where, you know, this is the, this is probably the best known way right now to know, you know, just go to hrf.com. And if you, if you, if you actually, if you put in any website name, you will find the keywords for which, you know, the traffic is coming on the site. And there is a section which talks about the NLP queries that is coming on the website. Right. So you can just look at the NLP queries and you'll find a lot of natural. This is hrf.com, right. Yeah, that's a very popular, popular tool in SEO. The question that I actually intended to ask that if someone is a website owner and they want to know how many of the searches to my own site is coming from voice. Is there any way for them to do it? How can they find that out? So hrf is one good tool for knowing that. Right. And then, you know, you can look at the, the, the Google's, the site console, right, the, you know, the Webmaster console, right. And, you know, you can find a lot of keywords there, right. If you dig in the data you can, you know, find there. There's been rumors. I know not confirmation, but there have been rumors that soon there would be a tab in there which would say voice in the Google search console, right. So at least the owners know that what is, you know, what is the kind of a searches are coming in. It has not confirmed yet. But for now it's just, so you have to look at the keywords, look into the keywords in which the, from a traffic is coming in and you have to essentially dig in and to find which are the natural language keywords. hrf does a good job. It gives you a complete different tab. It just ranks all this keywords. So if you are, you know, high traffic website, you know, you have to probably dig in a very, very deep into or find this searches. hrf does a good job to essentially just highlight them very quickly. Right. But, but in any case, non English vernacular searches in India and all a lot of it is happening on, on voice because it just, it's just easier to just speak it out to Google. Rather than to type a non English thing. So is that a trend or something that you'll, you have also observed that you are aware of. Oh, absolutely. I think that's something that, you know, is, I mean, Google. So I have some videos in the, which is actually high, you know, skipped I skipped because of the time. But, you know, anybody who's looking at some of the videos right here. Right. So, you know, I talk about a little accessibility. Right. And, and different videos, you know, out there, and these videos actually talk about a lot about accessibility and it has actually a video around. You know, similar use case that, you know, in India, right, where people are using, you know, you know, they're pointing the video camera to a particular text and it's reading them out loud. Right. Accessibility is a very, very big focus. It's a very, very big focus. And recently even, you know, the accessibility standards that they got updated last year I believe or this year I don't exactly remember which year this got but, you know, in, in US, you know, the federal government essentially added that your, your content should be understandable in audio format as well. Right. Okay. You know that it should be so people who can't, you know, read, you know, who are blind, you know, can also, you know, understand it very well. Right. So the whole push around accessibility is a big push and there is a lot of, you know, research, if you look at deep research videos around voice in the way that, you know, the teams which are essentially working in this Google for, you know, for, for, you know, for NLP, building this NLP engines, they're actually working with people with, with, with, you know, disabilities, speech disabilities. Right. So they are actually trying to perfect the voice recognition, right, for people who, who stutter, or who, you know, who are not very clear in their speech. Yeah. It's, it's a, it's a fantastic piece. And I think accessibility is a huge, huge push. I have not, I have not really dwell deep into the data of myself on, you know, on saying that, you know, what kind of a searcher, what is the number of searchers and things like that. But again, you know, I've, I've, yes, I've heard a lot of people saying that, yes, you know, Hindi and, you know, other languages. Yeah. Right. Okay. We'll be running out of time in a bit. I'll take a few more minutes, a few, one is, as a closing thought, I just want to know that there are three different primary roles that I talked about at the beginning, which is content teams design and the technical or the development teams. Can you tell that for the future of search, including voice or outside it as well, what should be the role or what are the things that the content team, the design team or the development team should take the primary responsibility of in order to make sure that their websites are friendly for searches through voice or any future form that you might expect. So can you talk a little bit about what responsibility is the content team should be taking the design team should be taking the development team should be taking. Sure, absolutely. I can, I can, you know, take one of one by one. So I think the, the content team or the people who are responsible for content strategy and it's going hand in hand with the design teams as well because a lot of time design teams build this content strategy right on, you know, different right how the content should be structured and things like that. But if I just, you know, take these two, you know, in one go. What do you have to, you know, ensure that, you know, you are, you know, thinking about how some, how you're going to serve the same content over a voice based interface. Okay, how will somebody understand the context of the content, right, you know, which I've been talking about all my talk, you know, in the voice world. Right. And that's the that's something that you have to focus on. Right. All the time. That means that, you know, if you, so if you, for example, if you stuff on five different topics on one page, right, you know, if you're building a, if you're building a design, and in that design, you know, you're trying to explain five different topics in the one page. You know, you're trying to explain five different pages, right, so that, you know, all pages are different and, you know, it can very contextually define or give information on what, you know, you want to communicate to the people. Okay. So just, just be a little more aware that, you know, how would you serve this content from an to the voice world, right, from an accessibility point of view, right, you know, it's not an it should not be an afterthought. You know, here in, you know, you know, we've been in some of my friend circles we've been talking about accessibility first defines, okay, yeah, right, think of think of that. And from a development point of view, ensure that you know you, you, you, you know, you force the structure, right, how much, you know, don't, don't go towards the unstructured you know, formats of content, which has been the kind of way that most of the content, or, you know, for the blocks, right, you have a text, right, whatever you want to write into it. Yeah. Right. Don't. So when you're building this, this, this, these fields, or, you know, or these seamless platforms and show that it is in a structured format, right, if there is a, there is a, you know, there is no content piece that should go into an unstructured format. So if you do these two things, you know, you know, I think, you know, should be good for the voice world. Right, I think, I think the design team is particularly a team that might have difficulty around this because the kind of work they do is so visual in nature. And we are really, we are really saying that turn yourself blind and try to experience it in a way, but but then yeah, good tips for the three of them, the three groups. Where can we learn more about this? What if we want to understand more around voice search or the future of searches and all what should be our sources of learning? Yeah, so voicebot.ai, it's the, you know, run by the gentleman called Brett Kinsella, right, you know, that's right now the best platform for all of things. Even so he does a lot of, you know, data researches and surveys and things like that. So a lot of questions around, you know, where the consumption is going, what is the kind of consumption is, which people, what kind of people, what industries are consuming, he's trying to answer that. He's literally, you know, championing this in a big time. I mean, and it's a very popular, you know, blog, right, it's more than a few million hits every month. So voicebot.ai.ai is probably the best place. Alright, so voicebot.ai. Alright, we have run out of time. I'll just close this thing. Firstly, I thank you, Gaurav, for spending a little over an hour with us early morning your time. There's a lot to learn. There's a lot of technical in nature, the conversation that happened today, but I can just summarize a few points that I had that had come out from the top that Gaurav gave. One is that use schema. Schema is all about structured data, which is to make sure that Google and other softwares are able to understand the context and the content that you're giving in. Conversational language use a lot of questions answer questions. This is something that Gaurav pointed out a few times a few times over and and also eventually this is at this point of time this topic from what I understand is still evolving. But from a larger point of view, as Gaurav pointed out a large number of things that we are talking about in this context is is really talking about technical SEO and it's really talking about how we make our information more understandable by search engines and and other tools that are out there so that they can make sure that the relevant answers come in. Whether search through voice being one of the focus area that Gaurav said or any other way as well like even if you people do start doing tech searches. If this was going to benefit in the long run anyways. So thanks once again Gaurav for this for your early morning talk. Before I close I just want to make a few points for our audience. One is that we are doing these sessions every Saturday neck from next Saturday onwards will go back to 11 am time which is the time when we do most of our talks in India when especially when the speakers and the participants are from India. We this today we talked about voice search next week we are going to do a more detailed discussion around amp. Of carrying forward from the conversation we had two weeks back where someone from the amp team Nana from amp team had come in and told us about amp. But in the coming if we are going to have a couple of developers around to talk about some practical considerations and as well as challenges that people have faced in implementing amp and is really amp. A great way forward in also trying to address that question in a way. We are also having conversations around PHP WordPress security. How do we use web page test more effectively some conversations around e-commerce trying to line them up at this point of time. And also designed oriented talk is something that we are lining up in the next few weeks. If you would like to hear any topic or if you would like to speak or participate in in any of the conversations. You can go to has geek dot com slash content there's a place where you can drop in your proposal and you can express your intent to participate or ask for a topic that is useful for all of us. So that's all from our side. Got of any closing thoughts. This has been great. Thank you for having me here. You have my contact details guys, you know, feel free to, you know, bring me, you know, have conversations on debates, you know, whatever, right, reach out to me on LinkedIn or Twitter and happy to, you know, enjoy the conversation. Right, it was really fun to have a conversation with you to God of I hope you also enjoyed as much. Thanks. Thanks a lot. Have a good day, God of and a good evening to everyone else in India. Thank you. Bye.