 Hi, everyone. So obviously this is a, you know, A juncture where we are all waiting for the awards and that's where i'm speaking. So i know i will keep it short and, you know, keep it to the point. So thanks a lot. Thanks for the opportunity. This has been a fantastic event. I congratulate e4m team and Nowal sir for, you know, bringing programmatic to the Forefront. It's very exciting. And as nowal sir said, we will be, you know, having a lot of Scope in this area and that's what i would like to highlight as Well, you know, the kind of interesting innovative work which is Possible and programmatic. So we are miq and we focus a lot on Data, data science and analytics. The way we define ourselves is That, you know, brands have a lot of their data and it is Present in many systems, many areas and they would want to Utilize that and we have also been hearing the panel discussions Where there is a lot of talk about first party data, zero party Data, second party, third party data as well. So all these are, you know, obviously technical jaguars but In a simple way if you have to look at it, it's all about Brands have their data. How do we, you know, consolidate it All together which makes sense. You know, it could be a Single consumer perspective which a brand would want to Develop and they would want to understand who are my different Consumer segments, how am i approaching them, how am i Targeting them and how am i doing sales and marketing with Them, right? and how am i delighting them. So data obviously is exploding. Data will play a very, very Big role and that's where we have focused on. We have very strong data science skills and with that We are able to help brands consolidate their data. We also have one of the largest data lake where we are Collecting data on cookie id or device id or Contextual signals, offline signals as well and with that we Are able to help brands enrich their first party data, Have a very good understanding of their consumer, answer basic Questions like, you know, who is my consumer, where are they, How do i reach out to them and when i'm reaching out to Them, how do i measure the impact of what am i doing, Right? and the reason this is important is Because in the last two years, world has changed. World has become more digital. World has become more connected And consumers behavior has changed. Consumers are expecting a lot in terms of speed, reliability, In terms of privacy as well. And that is where a very, Very robust data strategy will help you. And then programmatic as a media channel becomes very Important because programmatic as a media channel allows you To make use of your first party data, enrich it with third party Data and activate the media. One more highlight i would say is That, you know, there are companies who do media very well. There are companies who do data very well. There are very few companies in the world who are able to Bring it together, have the data, derive the insights, Activate it in the media and then measure the impact. So from that perspective it's a very, very, it's a sweet Spot which very few companies are able to have and we Want to have this capability for all the brands in the world so That then they can make best use of their data and their Media strategy. We are present in nine Countries, 22 plus cities and, you know, we are 1,000 plus Now. This is a slightly old number. Now we are already 1,000 plus. So our scale is growing in a good way. But the most important point from your perspective is that, You know, the challenges which we are facing. Data is isolated. There are walled gardens. Then, you know, there are supplies isolated as well. And it is referring again to the same point that, you know, how Do you bring it all together and answer these fundamental Questions. And that's why, you know, we Talk about better connected marketing where we are able to Connect the dots between the data points and supply Inventory from a media perspective and how do we bring it all together. And i just want to highlight it with a simple example. You know, earlier what used to happen, if you look at, say, 15 years back, when you used to do a campaign, right, you Would basically do a campaign, you are doing an online Campaign, you would take some, you know, banner slots on One website, on one news website, for example, then you Will also take banner site from another website, right? And you are doing all these things manually. And you might have overlap between the audiences. I might be going to times of india. I might also be going To hindustan times. Right? so you are not able to Have a unified reach. You are not able to maximize your Reach. For some consumer, you might be, you Know, reaching out to them 20 times. For some consumer, you might Be reaching out to them not at all. You might be missing out Completely. Now, if you do this in a programmatic Where what you are doing is you are consolidating the supply And then from there you are saying that i want to reach Out to the audiences. I want to have a frequency of Six and i want to maximize in this target audience. So then you have like, you know, instead of reaching 2 million Audiences, you are able to reach to 6 million. And you are able to also have an ideal frequency so that you Are not irritating the consumer as well. Now, this is something which programmatic will be able to do Not only on simple display, but also on otts, also on Connected tv, also on digital lot of home, and also on The, you know, future form factors which will come in Because 5g is coming and we will have explosion of more Form factors as well. So with this, what i want to Do is, you know, i want to make it real for you. So, you know, just want to quickly talk about some of the Very interesting case studies which we have in the india market. So this is a lot of text here. So let me explain it. So this is a very interesting campaign which we have done Where this company sells power inverters. So, you know, in india we have a lot of parts where Power outage happens and then obviously the households will Start their power inverter and they will be back. Your fan is running, your electricity is running, basically. Now, what we did was they wanted to do a campaign where They wanted to reach out to the right consumers and talk About their power inverter. What we did was we understood That there is a website of government of india which is Talking about power outages by time and by different Geographies, different pin codes in various parts of india. Now, obviously, this is website data unstructured. So our data science and tech team crawled the website, of Course, with permission from the government. And then from there, they derived the data and put it In a structured data layer, which was fed into the Programmatic platform. And then we did the campaign. For example, you know, if you have, like, say in pune, there Is a power outage on sunday from between 2 p.m. To 6 p.m. So in pune, our campaign will trigger Within that area, within that sub-area of pune, that Campaign will trigger where consumers will get the Communication that, hey, you are, you know, basically You are having a power outage. Why don't you buy this Inverter? And when you click on that banner, you will Also get to see the nearest, you know, showroom, electrical Showroom where you can buy that inverter as well. So, obviously, this is a very, very contextually relevant, you Know, campaign and the results were fantastic. The engagement was through the roof. And, you know, it was Started as a pilot and then, obviously, it got extended to The entire country as well. This is another one. This is my personal favorite, basically. So this is with lauriel. So what lauriel wanted to do was and, you know, this is Obviously, of course, through our agency partner and, you know, With client and with our agency partner, we have been Continuously doing campaigns with lauriel. But this was a very, very innovative one where we said That, okay, how do we target the right consumer for lauriel? And some of the data signals which we used were Apography. Consumers who are browsing on Naika, purple, glam app, then offline visitation. Consumers who are frequently going into salons, especially lauriel salons. Those are obviously the right consumers. And then, of course, the in-market audience is beauty, Fashion and hair care enthusiasts. Then on the creative side, we have a very interesting Technology where we are able to convert, you know, a Brands best performing social posts and social, you know, Advertisements for programmatic. And then from there, we are able To look and feel is very good. Look and feel is almost like an Insta post or a facebook post. But on running on programmatic. So the price performance is very high. The click-through rates are very high because, you know, Obviously, the display is very, very attractive than the normal display. And from there, you know, we were able to also get the Consumer into the whatsapp account of lauriel, the business Account of lauriel, where lauriel was able to engage with the Consumer, answer their hair care related queries or beauty care Related queries, and then also give them coupons, you know, Which they can monetize at the salon. Also giving them the nearest salon address. So very, very customized for the consumer and adding a lot Of value in the consumer's life. Then from there, you know, we also did hyper-local targeting. So because there are, we were given the address of the salons By lauriel for the entire country, for specific cities. And then from there, we were able to do hyper-local targeting. And we were also able to establish what is the right radius In which we should be targeting these consumers. Then one more very innovative layer which we added was, We said, okay, let's create an index. You know, sensex is the index of stocks. Similarly, we created an index where when consumers are browsing On beauty app or when consumers are searching on beauty related Products or lauriel related products, or when the right tg Is online, we have all these signals. As i was saying, we have a data lake capability as well. So in real time, we created this index. When this index is up, we know that consumer is interested Also searching about lauriel products. So this is the right time to intensify the delivery of The campaign. So we increased the intensity of The campaign in the right tg during that time. And when consumer is not online available, when consumer is not Interested, we reduce the intensity of the campaign Or we stop the campaign. And this is all happening in Real time, so that there is a lot of efficiency in which The brand's budget is being spent. So this again created a very good layer of efficiency. We also did a very extensive brand survey during this Campaign. We wanted to understand what is the Impact on brand awareness, brand consideration. And yeah, so with all these innovations, we got very, very Strong engagement. We got three times more Performance than the standard campaign which you would do in A display environment. We also know from the brand That they were able to drive a lot of sales and revenue From their whatsapp business account, they were able to Track as well. And there was a 4% Increase in overall brand awareness, which for a lauriel Was big. And most importantly, 62% Of the consumers who saw the ad, you know, had a big lift in The consideration as well. And then from there, one more Case study and then i will kind of get to the end of the Presentation. So this is, you know, Mx player, a very big otd platform in india and they Launched a very big show called lockup. And the concept of the show was very interesting. Obviously, the main celebrity and then there were a lot of Celebrities in the india market who participated in this Show. And what we did was we basically Optimized the creatives in such a way that for a particular Celebrity, the gender of the audience who they attract, We are targeting them. And we are also having different Different taglines for different audiences which will relate to Them, which will talk to them in a very intimate way. And this was again a very, very, very kind of engaged Campaign which we did. So for every, you know, every Gender, every celebrity, we had a different creative, Different tagline, different audience targeting. And, yeah, meaning the main part i would like to highlight Here is that, you know, we managed 180 creative Variants which, you know, is not possible without technology And automation, right? So complete automation, complete Elimination of manual. This is the only way you can Have this kind of correlation. And of course the campaign Performed very, very well. 1.75x times better Performance than other creatives. So, yeah, you know, i think Just wanted to quickly, this is a very busy slide, you know. So just wanted to, you know, kind of give you a glimpse of What we do. So, you know, we have our Taken data stack where, you know, we are working on Various dsp platforms. And then this is connected Technologically. And within that, then we have a Data lake where we are collecting 500 plus attributes Which could be demographics related, which could be, you know, Demographics would include, you know, your gender, your Parental status, economic status, you know, and your Interest. Then also a lot of contextual Data which we are obtaining from the web browsing Behavior, which will include the topic data, which will Include the keywords which a consumer is browsing on, Etc. And a lot of, you know, a lot of Footfall related data, a lot of brand affinity in terms of Physical attributes as well. So just to make it simple and Give you an example, suppose, you know, bmw would want to Do a targeting, would want to do a campaign. Now, what kind of signals we can help them with? We can help them with a cohort where we are saying That they are economic status, their occupation, and Their family level is indicating that they are the right Consumer for you. But then what we are doing is We are adding one more layer of data signal and we are Saying that these cohorts are also browsing in the last Three months about bmw, audio, or Mercedes brands. So definitely from their online browsing behavior Perspective, these consumers are interested in luxury cars. Then we add one more layer and we are saying that These consumers are definitely qualified that way. But in fact, in the last month, they are also from a Footfall behavior perspective going into dealerships of these Luxury cars as well. Now, with all these signals Combined, we have a very, very good understanding of the Cohort and then we are targeting and that is how we Are, you know, kind of take the targeting to the next Level, you know, and have the precision which we want. And then, of course, we are also able to then connect To other trends. So i gave the example of Search signals. We can also have weather signals. Now, obviously, you know, when you are driving footfall for These consumers are interested in a luxury car, you would Not want to have a very high intensity campaign when the Weather is very bad because that time the consumer is not Going to go to the car showroom and do a test drive. So you would not want to, you know, spend your budgets During that time. So these are the innovation Layers which add up to the efficiency of the campaign And then from there, the magic happens. Right. So again, very busy slide. But what we do fundamentally is we connect the data from Various sources. We discover insights. We activate it. And then as we activate it, Obviously, from the campaign, also we get more data, which We again connect to the data which we are, you know, Driving inside sort of and we are able to drive sharper Insights and then we are able to activate it in an even Way. So it's a continuous process which We do for every campaign and also for our clients as well. And just a quick highlight. This is all automated. Right. So we have created technologies. We have a data studio, our in-house data studio where we Are able to have 200-plus global data partnerships in all Regions which we operate in and that's why we have Huge amount of data. It's completely gdpr-compliant, Complete non-pii data. But, you know, we have this Automated system where we are able to have data collected, Data connected with each other. From there, we are able to Drive insights in a hub which our planners and traders use To, you know, put the best foot forward when they are Starting a campaign. And then from there, of course, The trading is also completely automated. So on an average, our trading is 40-50% efficient than any Trading team in the world. And yeah, we are very, Very focused on right environments, premium environments, Brand safe environments as well. So this is something which we Want to take it very, very seriously. And, you know, in the panel discussion also, there was a lot Of discussion about the people input, right? So we have a very strong data science team which is powering All these data innovations which we are doing. And then we have a world-class trading and client Servicing team who is helping our agency partners and Brands to have the best servicing which is possible in the Market. And, yeah, meaning we are not New to indias, we have been working with a lot of brands. And we have been growing very, very fast in this area. I just wanted to highlight this as well. And yeah. So, you know, by working with us, You can reach more engaged users. You can basically, you know, tell very interesting stories. You can connect the data. And then most importantly, you can Also measure the impact of your campaigns and derive insights Out of it which will obviously be helpful for you to, you Know, when you go into the next campaign, you are going in a Much more informed way in a much more knowledgeable way. Thank you.