Putting tools to action
Martech Conversations: Episode 8
We've been discussing the tools in the previous episodes of Martech Conversations and this time Dorai Thodla puts the tools into action!
Follow Dorai Thodla here: @dorait
Follow Pravin Shekar here: @pravinshekar
Get the list of all tools discussed in Martech Conversations!
Dorai Thodla: So you’re calling the bluff, Pravin? Okay, all right. So we were playing around with a bunch of things. And, you know, actually, there's a whole bunch of things. Part of it is research, because we were also doing some things in machine learning and artificial intelligence, which are not sufficiently developed in which I started chatbots and stuff like that. But some of them were like, it's not technology, that is that I would give it to anybody at this point in time
Pravin Shekar: Dorai, sorry to interrupt, but I have a very quick question. Are chatbots a fad? Or are they here to stay?
Dorai Thodla: They are here to stay long term. I think the very, very specialized function chatbots work extremely well. The generic ones are terrible. Because, you know, I think a few days ago, Guy Kawasaki was doing this session on a chatbot called Kuki. And he was answering questions and he actually mentioned in a podcast that he has done that he is interviewing Kuki, okay. And then he talked like “revolutionary, this thing, blah, blah and all.” I go there, and I go to Kuki, and I like to test it out myself. I know Guy Kawasaki is a marketing guy. And I know, I wear a marketing hat. So I know how I am in that role. So I go to Kuki and said, “What is your technology stack?” And it started talking about some BlueStacks, which is a platform for moving, you know, running Android apps on Windows and all that. So [I said], “No,no. What is your technology?” It didn't get it. It said technology or something. Finally, after four iterations, it says, “Java and XML.” I said, “Wow, this sounds..” Then we found out they use a technology called AIML. Even though, name is very glorified: Artificial Intelligence Markup Language, it's about 15 years old technology. It's a rule based, it's got nothing to do with AI. It's a rule based markup kind of stuff. But what is happening is that the old technology is a little bit more solid. The problem is, it cannot take all kinds of questions out of the, you know, it cannot like, come up with reasonable guesses. We've been working with dialogue flow for about three years, working in the sense that we've been experimenting with lots of different bots and stuff like that. And which is reasonable to some extent. There's one called RASA, they got huge funding. So if you look at this, the lot of these chatbot companies bought by big guys, you know, Google bought one. Dialogflow, you know, was a company, it had some other name, it was API.ai or something like that. And then VIG.ai was bought by Facebook, and some other thing was bought by, you know, Uber or, you know, there are all these purchases. That's because they see it as a long term bet. The best bots today are customer service bots, they work reasonably well, because they're fed a lot of data from the interactions that people have with customers. And they restrict themselves to customer things, and you know, customer questions or potential customer questions. And if you're running, you know, like a Freshdesk or some company that has like 100s or 1000s of customers who have asked lots of questions, and we captured all of them. You have solid data very specific to their products. And so anything outside the chatbot can say, I'll get back to you. These are called hybrid bots, where they can answer whatever questions they can answer. And then whatever they cannot answer, they will get a human in the loop. And then they'll also log it so that you humans can look at all the failed answers. And then they can improve, they can plug in that knowledge. So we'll come back to knowledge base or knowledge graph for doing that kind of thing and they are being driven. They’re getting better all the time. But you can easily fool a chatbot. So they're not the general purpose ones. But you'll be surprised since you are in the healthcare profession and all that,The oldest, one of the oldest, most popular chat bot is called MYCIN, which is a medical chat bot. So you may want to go and check out one. And there is one that I used to play with called ALICE, that is when I came to learn about and it's reasonably good in terms of answering questions. And it's a simple structured language. It's an XML, special dialect of XML called AIML. And at the time, this was like 15 years ago.The ML is for markup language, not machine learning, the AI is of course artificial intelligence. Anything at the time artificial intelligence was rule based, expert systems based, so they're not like fooling anyone, but they, they chose that name. And people think that AIML is like artificial intelligence and it's not. Pandora bots, is a service that runs the AIML bots quite a bit. And we played around with them in our first chat bots. We built one called interview bot for Future Focus. I mean, it is an experimental product, didn’t go very far. But [it will] ask a bunch of interview questions to the candidate. So for example, if the candidate says, “I know Java.” So the idea was you scan a resume, you pick the skills, and then you say, “Hey, what do you know about Java? How many years experience? Three years experience?” So we know exactly what questions to ask a three year experience guy, three year experienced Python guy, for example. If somebody claims 10 year Python experience, then it means he’s bogus. Because Python was not popular in India 10 years ago, for example. I mean, there are a few really small groups that were working on it. So we used to tailor that kind of thing, but it was more for the recruiters to figure out what questions to ask. So the bot was not directly interfaced to the user. The idea is that recruiters themselves don't know what to do when somebody says, “I know Hadoop.” They'll go to chatbot, “What is Hadoop?” and it will give you a definition kind of thing. So control language used to work. One more thing on chatbot before I move off, the ones that use like, Google Assistant, Siri and all that, Alexa, you know, Echo, Amazon Echo: they are single turn, right? You ask them, “What is the temperature tomorrow? What is likely to be temperature tomorrow?” The probability of something, blah, will come back and give you an answer, right? But there is no continuity in conversations. And the biggest problem in chatbots is what is called the dialogue management, where you remember the context of the previous question, and infer the pronouns, when you use the pronouns. So, “How many jobs are there for Java developers with two years experience in Chennai In OMC?” Then it says, “What is OMC?” and I say, “Oh, it’s OMR.” It says, “Oh, it's Old Mahabalipuram road. Okay, these are the companies in Old Mahabalipuram road, which ones are you looking at?” I may say, “Oh, Cognizant.” or, you know, like, whatever. And then it'll say, “Oh, according to a job listing page, there are these 15 jobs. Here are the five jobs. Do you want to see all the others?” and then I say, “Yeah.”, and then it'll take you to the page and show it kind of thing and all that. So there are some simple functions. But there, it has to remember the previous question, answer to the previous question. It has maintained context and tact. Chatbots don't do very well.
Pravin Shekar: Good. That was a nice segue, but bringing you back into the demo.
Dorai Thodla: So let me share my screen. Yes, please. And I'll show you a few because we're moving servers and all that sort of stuff. And some stuff is working, some stuff is broken. And also, I'm not going to give a complete demo of a product. Right? So this is, I'll start with InfoMinder, because I keep talking about it. Also, I need to give respect to InfoMinder because it is the oldest of the lot, right? It will be 20 years in February 2022. So and it looks like a 20 year, I mean not a 20 year young person, 20 year piece of software, horrible user interface, very, you know, antiquated and all that. But it serves its purpose. And essentially let us say I use this to track various websites and I'll show you in a minute. So if I go to InfoMinder and I go to let's say the homepage of InfoMinder, let's say…
Dorai Thodla: This is how it looked 20 years ago, and it is how it looks even now. Okay, so basically what I do is I track all these pages. Okay. One is a tech meme. Another is, you know, there's a bunch of things like Newswire and Amazon UK, digg.com/technology, these are all like, so what the way you track a page is you simply go to any page that you want. Let's say, I want to go to, let's say, this Forbes page. And we have this little InfoMinder extension that you will see somewhere here, this guy with the head, mind this page, so I can right mouse click on it, then I can say, “Hey, InfoMinder, mind selected links.” That means track all the links on that page, or I can simply go and say, you know, I can just click on this. What it will do is it'll grab the URL of the page, it'll grab the title, and then say, “The future of growth: The top digital media, do you want to save it?” And then I say, “Yeah.” Okay, now I am tracking this page, close it. And that's it InfoMinder starts tracking, nothing happens today. 24 hours, we check that page, and if anything changes on that page, we send you notifications. We basically send you a mail like this. Okay. InfoMinder notification 83 pages changed. Okay. And then I will get a link to every one of the pages that are changed. You know, it'll say some of it Bank of Baroda. I don't know how that happened there. But there is a Forbes you know, 23 changes in Forbes. Okay. Oh, this looks interesting. Let me just go click on this page. And later, what it will do is, it will give me the Forbes page with all the changes marked yellow, for example. “US passes 500,000 Coronavirus deaths, though new cases are down” that kind of stuff. And you know, “Trillion dollar opportunity: how a new internet will completely reimagine your business model” right? So you know, it will give you these these kinds of things, but it also extracts it and send it to you by email, we also extract it and send it to you through what is called an RSS feed, which means you can programmatically work with these changes kind of thing. So, and these people use for a wide variety of reasons, the parliament librarians use it to collect gather information about the NGOs, they track all the NGOs, and then gather and then they produce a report on the nonprofit organizations, a couple of Parliaments, I can't name them in various countries. We have users in Europe, Canada, you know, US, of course India, government of Australia uses it, you know, I don't know which department. Some of them are like been using it for 15 to 17 years, is a company that builds, you know, informed library. They gather titles of, you know, the table of contents of various publications, gather them together, and then sort them and publish them in different ways, do analytics and publish them. They run a newsletter completely on top of InfoMinder. They were our first data user, and they're still using it. And so this is InfoMinder. So I'll quickly go through these kinds of things. We are actually making some changes. And one of the things we are doing is we're trying to build apps on top of InfoMinder. And I'll show you a blog post, if you have the time. You know, what kind of apps can be there. So here, we can see the right hand side, you'll see how many changes have occurred in each page that I'm tracking, and which date and time that page is changed. And once you see this page, that “new” will go away. That yellow, ugly looking dot is basically “new”, small cloud containing letters “new” and this is essentially mine. And I can go through and delete, export them, do all kinds of interesting things. Questions, before I go on to the next one?
Pravin Shekar: This seems straightforward. So for all those listening in just go to app.infominder.com and go ahead and pick it up and use it. So no questions at this point, Dorai. Except that in a business scenario, for example, from what we have discussed so if I have to track my competitor, or anybody in that ecosystem that I can just go to their website and click on the extension so that anytime there is a change on the site, I get an email. So I don't need to necessarily go keep checking it every day.
Dorai Thodla: Yeah, the only difference is that it's not the site, it monitors that page, you have to go mark the pages. The reason is, originally we wanted to do site, but if you go to IBM and click there'll be 1.5 million pages and we'll be going into it. Also we want to see, you know, what are the pages that people do. Second thing is, some sites do not want all the pages to be visited by bots. So there is something called robots.txt, that lists all the pages that the sites do not want others to visit. So we didn't want to take all the responsibility of, you know, this page should be monitored or not, we're going to leave it, push it on to the user. So we will monitor that page. But typically, a good bet is to go to the homepage, and follow all the homepage links. For example, you know, so let us take, give me one company, one real company that exists. I'll just show you in one second.
Pravin Shekar: Let's take Sun Pharma or Rosh for example.
Dorai Thodla: Sun pharma? Yeah. Yes. Okay, when I go here, what I can do is, so it's got all these things like every line is a link. So I can simply go to this InfoMinder plugin. Okay, we have one for both. And I can track that page. That is one way to do it. Another way to do it is let's say that I can go right mouse click, instead of left mouse click, and I say “Mind selected links” and I can select the links, but I'm not going to do that. So what it does is, it takes the page, crawls the page, comes up with a list of links, and then it will say, “Okay, these are all the links that you know, you can monitor.” Then you can select which one of the links that you want to do. So you can you know, you can track it. A couple of places that we use it for here for my clients is that colleges and companies and all that, sometimes they get hacked. So they monitor a bunch of pages to see whether the content has changed. And then they get a notification. So in fact, the funniest thing is that, InfoMinder site itself was hacked. And that was told to us by one of our users who was monitoring our page, and we were not monitoring our own page. So what happened is, because it got hacked, they changed content. And then they went to I think pricing page or something and they find it was hacked or something like when they sent us an email. And then we said, “Okay, you have a free subscription now.” and then we fixed it, we added it as a use case. The other thing is also that sometimes the content group works differently than let's say the management, marketing group or management. And they want to see what changes have they done to the recent content and you say that I know I asked for all these changes, you know, I'm outsourcing it to some other company. Now I want to see whether all these changes have been implemented. InfoMinder and then you will get a notification whenever it is, then you can ask “When are you going to do this?” I use it to track blog posts, new posts of blogs and things like that. Lots of interesting uses. Okay, so let's move on to, I'll close this InfoMinder.
Dorai Thodla: So, the next one is, so we built another product, which is not actually currently active, but we have so code sitting there somewhere. It's called TopicMinder, which is basically essentially you say that we are interested in some topic, we go and find all the RSS feeds for that topic. And then we throw them into a search engine at that time it was you know, like there's one called Solr with the 'a' missing it was based on something called leucine, which is an Open Source engine. Today, if you have to do it will use something called Elastic cloud or Elastic Search or something like that. Basically, what it will do is, it will read the RSS feeds from all these sources, it will combine them, you can define a search, you can define what your topic is, my topic is this search. And then once you define the topic as a search, it will run this query and it will take all the links that are there and then it will send you an email. We priced it a little too high like $500/year. There are not that many buyers, but a couple of companies licensed the server version of it. And then they were running it for some time. And now I think there are so many new technologies that can help make their product better. So we can have, you know, put it in the backburner, and we'll come back to, you know, at some point of time. The next product is, it's called Tweet assistant. So, all you do is let me start with a new tweet assistant essentially, say, tweetinfoassistance.com. Give me some, you know, some term to search.
Pravin Shekar: Let's search for Guerilla marketing.
Dorai Thodla: Okay.
Dorai Thodla: So what I'll do is I'll put it in quotes, just to, so that we don't get a lot of information about gorillas.
Pravin Shekar: I am waiting to work on the spelling.
Dorai Thodla: Oh, I need to work on spelling? What is it?
Pravin Shekar: G-U-E-R-I-L-L-A
Pravin Shekar: Yeah, that's it.
Dorai Thodla: That is a marketing field. Okay, 192. So we're using a free version of Twitter API. And what the free version allows us to do is to get tweets from the last 30 days or maximum 1000, you know, at any point in time, and we have a facility by which you can say make it a continuous tweet, continuous check and then it is check every day and then keep on adding more and more tweets and then build a thing even with a free product, something like that can be done, of course for that we will charge. Okay, so once a clicked on the 192 tweets gathered, okay, so this requires a little bit of explanation. So let me do that. Okay, so you see guerilla marketing obviously, is the hashtag. But look at the other hashtags marketing. So the even though this looks ugly, it's fairly simple. The red ones are all people who are tweeting about guerilla marketing. The blue ones are all hashtags related to guerilla marketing. Okay, so #Apollo20, #springclean, #fancy marketing @theepicdepartment @elonmusk, I don't know why he uses guerilla marketing, #limitedbudget. So you can see all these tagcloud. The bigger the font, that means more tweets are there. Okay, the smaller the font less number of tweets are there. And then for example, #socialmedia, part of guerilla marketing. When I go there and click on any one of these things, it will show me all the tweets of that. “Sacha Nasan of Blindlee Explains Guerilla #marketing tactics #blogging #marketing #SEO #social media” and all that stuff. So I can click now on this and it'll take me to a window where the original tweet appeared and then you can party on you know, from this, you can do whatever you want to do kind of thing. So let me go back here I can say show all so I can get back to the original one. So you see all these things like “My clubhouse today…” This clubhouse is like taking over the world. I mean this is so much. By the way, Guy Kawasaki says clubhouse is: by marketers, for marketers. So that answers your question you asked about three episodes ago. So when you look at these tweets, I can go in, there is a retweet count. I can change retweet count the highest number of retweets, which will be what I'm interested in. And sometimes it may be the latest one, in which case you can do sort on date time. So “crappy jeans and the incessant use of "blackface" guerilla marketing strategy.” So there are you know, “Ever witnessed ads fitting right into the situations and briefing up about product/ brand characteristics with utmost effect?” So this is obviously you know, kind of funny tweet and Malaysian celebrity culture has done as much harm to the individual images of politics or something like that. So anyway, so when you click on it, you will go to the Twitter, so we don't replace a Twitter client, but the cool thing you know what, you can just do export. Okay, so we got guerilla marketing and marketing I happen to be in the marketing folder. I'll save it. Now I can take these tweets, and then I can happily analyze them. So for example, I can go and we do show and folder. Open with even though it is slowest will open with Excel, because it will format it nicely and tell you.
Dorai Thodla: So all this stuff that we saw earlier, all here, now it's available to you in a spreadsheet format, you can take it to Google Sheets, and then you can now do whatever you want, you can do link extraction, you can do this, you can do that. All kinds of things in there. So you can sort it by various things and what time it was. And then you can keep. So that's one thing nice is that you can export it. So we don't limit you. I mean, we just give you some minimal interface, that kind of geeky interface and we ourselves plan to use it as part of a company writing, you know, a tool for tracking companies and products and things like that. So it's a tweet collector, and doesn't do much analysis, except it separates out the hashtags and the ad mentions, so you can find some interesting things. Okay. So the next one I am going to show you is going to kind of excite you. I went and checked up on Mr. Pravin Shekar, a little bit.
Pravin Shekar: No.
Dorai Thodla: So we were talking about influencers some time ago, right? We said hey, you know, influencers, What are influencers? People are, you know, people put in the list. You know, I'll show this and then I'll depress you by showing my list. But doing it, but you know, we rank for different things, right? You're actually, these are lists, 155 lists, you already know that on Twitter?
Pravin Shekar: I didn't know that.
Dorai Thodla: And you don't even tweet that much, Pravin. I have never seen that. You write more books than doing tweets. So when you see this, you're in all these lists, market research, obviously, that's your forte, you know, marketing tips, entrepreneurs, startups, startups, very consistent market research leaders, and market research. But I wonder I show you, it will really make you sing insightful entrepreneurs. Must be one of your friends. I'm quite sure. There is another one thought leaders of 2016 after that, I think nobody mentioned your startup. Cool kids of #MRX? How did you get that? You know.
Pravin Shekar: Interesting.
Dorai Thodla: Yeah. So this is, you know, runners club. Okay, which is an outlier in this list, but that's okay. Do you still run?
Pravin Shekar: No, no, I don't run anymore. I bike.
Dorai Thodla: You know, like entrepreneurs, growth hackers to watch, MR_tribe, that must be your field, some startup tweets, startups, you're there in dash entrepreneur, supercharge your startup, little startup founders from India, Indian startup founders. So you are now all these lists. We are in some overlap lists. Some both of us are on some of them. Talking about sales, awesome MRX tweeters, Oh, you did. So you must have tweeted price and nobody else would have tweeted it.
Pravin Shekar: Yes, most likely.
Dorai Thodla: But Amsterdam appears here in ESOMAR 2017. So I can learn a lot about you by looking at the list in which you participate. This you cannot fake right? Because this is somebody else on that list. Yeah. Yeah. Somebody else put you on that list. So that is one of those nice things in there. So it's not only for gathering tweets, you know, I did a search right. The other thing that I can do is I'll export it and send it to you.
Dorai Thodla: Export the CSV, say, user list-Pravin Shekar-user list. Yeah, then what I can do is I can do something else. I can do, I can go to Pravin Shekar himself and say, I think
Dorai Thodla: : Submit. So it is collecting tweets, collecting hashtags. It takes 400, we used to do 1000 before. Right now we limited to 400 because we are doing this Market map. So this is all your tweets,
Dorai Thodla: Okay. @TiEChennai. I know @ASCENTtweets, #marketing, #outliermarketing: your favorite term. Let's say outlier marketing. Hey, not bad, last time I saw that only two.
Pravin Shekar: No no, I’ve become more consistent.
Dorai Thodla: But they're not spread very far you can see that right? So let's see the favorites, that’s normally six favorites. So Pravin I think you should spend a chunk of change, give me a lot of money and then I can get these retweets and favourites out. So there is also this #outlier, which is sometimes there are a lot of redundancy between these Yes, #LeanMarketing, some strange thing called @iiex that somebody followed. So if you from this, if you can pick, let's say @chargebee. What is @chargebee saying about Pravin Shekar? Oh, they just tagged you on this.
Dorai Thodla: You tagged chargebee on.
Dorai Thodla: So you probably retweet it. So we can also look at when you say show all, we also show you what are the tweets? Ha, you don't I think that is your thing. Your're a good man Pravin. You don't retweet that much. Yeah. You don't retweet, you do mostly original tweets. Yeah. And I didn't see that. You know, you do a lot of retweets kind of thing. So you can also get your Twitter list from Twitter if you request, they'll give you everything that you ever started kind of thing. But I can send you the most, so let us say that. Now think about this. Suppose I do this. And I do it every day. And so I take this page and put it in InfoMinder. And I do it every day, it'll highlight all the new tweets. Or if any of counts change, like a retweet count, and all that sort of, because just a webpage, as far as InfoMinder is concerned is just content and it highlights anything that changed. So you can kind of you know, take this and use it. So similarly, we can go through @chargebee and all that. But we don't have time. So the other one that I want to show you is this. You can stop me anytime for questions, right?
Pravin Shekar: Yeah, absolutely.
Dorai Thodla: Yeah. I just did it before just to make sure that we had a list, you know, so I did Martech? Did we do Martech before?
Pravin Shekar: No, No, No, we haven't.
Dorai Thodla: : So I did a Martech. And this is the results of Martech. 216 tweets recently. So if you want to know all the dudes who tweet Martech, you can do all this kind of thing. You can get in all the hashtags, #customerdata, #virtualevent, #emailmarketing, #Airtech, #marketingtechnology, #digitaltransformation, all these things. So now this is your vocabulary of Martech. Okay, similarly, if I go and type competitive intelligence, and I'll get the vocabulary for competitor intelligence. So technology intelligence, I'll get the vocabulary for technology intelligence, and I'll know who are all the guys who are tweeting, and then I will go follow them, put them into your list, track them regularly to see who's like, align the tweets align with what they are saying. And then maybe start, you know, this is how I influencer hunt.
Pravin Shekar: Wow, just InfoMinder was pretty much on the site level, for all these couple of tools that are showing are revealing quite a lot about a person just from that Twitter profile and the lists, they're a part of, Dorai. A lot of learning, especially when I'm looking at an influencer or competitive intelligence or technology intelligence. Yeah.
Dorai Thodla: Yeah. Twitter is rich in terms of search capabilities, it will give you a lot of things, by country wise, I can say I want to only find out people in India and only in USA, only in for example, Netherlands, whatever that, you know. So it's very, very powerful. You can also buy what is called a firehose version, that they will charge you some amount of money and you can get unlimited tweets kind of thing. And true market researchers will probably use that and you know, because they'll pay for it. It's the cheapos, like us, we'll just play around the tools, just to see whether anybody will pay us for this. If somebody pays, we'll have a premium model where we will actually subscribe to this thing. And or if you're, you know, that's one of those things that we'll try to. So, in Martech you see this #AI. It is sitting there in the top here and then there is a #CMO obviously, #demandgen, you know, these are all terms. So you know this is real because we can relate to most of this vocabulary. I think I went to that particular tweet, the future of growth. And then I said, digital marketing. And then I went to marketing, Martech, when I did research, I just went and clicked on this article, which is a Forbes article. And that's how I got this Forbes article, The future of growth: The top critic digital marketing trends in 2021. So for content discovery, something that we didn't really talk about, you know, lots of times, hey, blog posts, what blog posts will they write and all that sort of stuff. And then what you do is use Twitter for content discovery, then you initially start a curated post, where you will take the future of growth and the top 20 digital marketing trends. So now I can go and say digital marketing trends in tweet assistant, get a whole bunch of tweets, very focused articles, then I can take it, rank the top and the ones that have the maximum retweets, for example. And they take the top five or 10, I give it to my content writing department, “Hey, put this five and then come up with content.”
Pravin Shekar: Brilliant, Dorai. That was a 40 minute masterclass for me, I've got a whole bunch of notes, and to check out some bots and see how I can look at building some for my company as well, for vocabulary, for content driving, and of course, finding out more about the people I associate with.
Dorai Thodla: So I will just show you one other thing. It's not a demo. But basically what we have not covered is that we started building these research tools, there's a bunch of utilities, you know, extract entities, extract blocks; extract entities right now is not working, because we are moving with ours. Extract blogs, extract links, extract keywords, get search suggestions. So we'll be adding more and more to this pile. These are all little tools that you can use for these are the marketers toolkit, research toolkit.
Pravin Shekar: Brilliant. Dorai, I'm looking forward to subscribing and using all these tools starting from InfoMinder, research tools and that tweet analyzer. But thank you very much Dorai for walking us through. Now it's up to me and all the listeners and viewers to go ahead and play around. Because what is up there is something that we need to know. And that leads into our strategy. So thank you very much for that, Dorai.
Dorai Thodla: Yeah, thanks, Pravin for the opportunity. And I can never leave without doing some justice to our friend Google.
Dorai Thodla: So we do have a search assistant. So you can simply say LinkedIn marketing. I wonder why how I spent too much time on Twitter. And you know, I have to pick an email address. So lots of times you use search is the single most powerful and then especially Google Search because I've tried other searches. They don't hold a candle to Google, you know, in spite of all the stuff that people talk about. You'll get the top 100 results in Google gives it this away for free. So these are all nine powerful LinkedIn marketing tips. By, you know, our man Neil Patel, of course once you go there and he'll ask you to subscribe to something and all. How to use LinkedIn for marketing 15 LinkedIn marketing tips in the beginner's guide to LinkedIn marketing, all this stuff, the top 100 this of course, you can export download all of them. And so I think that two minutes it took was worth it because this is another one of the Twitters.. I use these two most they tweet assistant and search assistant, use others kind of sporadically.
Pravin Shekar: Lovely, Dorai, thank you. Very, very exciting. Yeah, I'm just waiting to type away and after this conversation, pick your brain some more in terms of how effectively to use it. But thank you once again.
Dorai Thodla: Great, thanks. Yeah, bye.