How To Optimize AI Lead Generation with Einar Vollset

what I'm not going to talk about is um what I'm not going to talk about is um some of the sort of what I call almost some of the sort of what I call almost some of the sort of what I call almost the obvious stuff obviously like you the obvious stuff obviously like you the obvious stuff obviously like you know AI by AI usually we all mean chat know AI by AI usually we all mean chat know AI by AI usually we all mean chat GPT or at least llms and it's it GPT or at least llms and it's it GPT or at least llms and it's it generates text right so the obvious the generates text right so the obvious the generates text right so the obvious the obvious solution is you know what do I obvious solution is you know what do I obvious solution is you know what do I hate doing but I need know I need to do hate doing but I need know I need to do hate doing but I need know I need to do is generate a bunch of text right I need is generate a bunch of text right I need is generate a bunch of text right I need to write Outreach emails I need to write to write Outreach emails I need to write to write Outreach emails I need to write uh marketing content I need to write you uh marketing content I need to write you uh marketing content I need to write you know personalized emails I need to know personalized emails I need to know personalized emails I need to figure out you know repurpose in my blog figure out you know repurpose in my blog figure out you know repurpose in my blog post into um social media postings post into um social media postings post into um social media postings fitting it to Instagram doing all that fitting it to Instagram doing all that fitting it to Instagram doing all that stuff I'm going to talk about absolutely stuff I'm going to talk about absolutely stuff I'm going to talk about absolutely none of that whatsoever partly because none of that whatsoever partly because none of that whatsoever partly because it's sort of straightforward and obvious it's sort of straightforward and obvious it's sort of straightforward and obvious and also because it is getting kind of and also because it is getting kind of and also because it is getting kind of crowded that space if that's what you crowded that space if that's what you crowded that space if that's what you think of when you think of how can I use think of when you think of how can I use think of when you think of how can I use AI to help my business then I fully AI to help my business then I fully AI to help my business then I fully understand why you're sort of on the understand why you're sort of on the understand why you're sort of on the other side of this crested wave where other side of this crested wave where other side of this crested wave where what you're thinking to yourself is yeah what you're thinking to yourself is yeah what you're thinking to yourself is yeah this this is not that big a deal this is this this is not that big a deal this is this this is not that big a deal this is not going to change my business so not going to change my business so not going to change my business so instead what are we actually going to instead what are we actually going to instead what are we actually going to talk about I talk to Xander actually and talk about I talk to Xander actually and talk about I talk to Xander actually and he does a survey about what is the he does a survey about what is the he does a survey about what is the reason why um what is the reason why reason why um what is the reason why reason why um what is the reason why people come to microcom or are they people come to microcom or are they people come to microcom or are they hoping to get out of it and the number hoping to get out of it and the number hoping to get out of it and the number one thing is this group of conss here one thing is this group of conss here one thing is this group of conss here which relates to I need more top of which relates to I need more top of which relates to I need more top of funnel I need more leads I need more funnel I need more leads I need more funnel I need more leads I need more customers um just more stuff for my customers um just more stuff for my customers um just more stuff for my business I wrote all the code but nobody business I wrote all the code but nobody business I wrote all the code but nobody showed up effectively and so that's what showed up effectively and so that's what showed up effectively and so that's what I'm hoping to help you guys with here I'm hoping to help you guys with here I'm hoping to help you guys with here and I'm going to show you how to do it

and I'm going to show you how to do it and I'm going to show you how to do it okay so my standard thing is just like okay so my standard thing is just like okay so my standard thing is just like if you're starting off with G with chat if you're starting off with G with chat if you're starting off with G with chat GPT or with llms or with AIS GPT or with llms or with AIS GPT or with llms or with AIS particularly with chat GPT my usual particularly with chat GPT my usual particularly with chat GPT my usual default go-to is I have a problem let's default go-to is I have a problem let's default go-to is I have a problem let's just ask chat GPT and see what it thinks just ask chat GPT and see what it thinks just ask chat GPT and see what it thinks right and so just for some context in right and so just for some context in right and so just for some context in addition to you know working with Rob at addition to you know working with Rob at addition to you know working with Rob at Tiny Seed I also a partner at a sside Tiny Seed I also a partner at a sside Tiny Seed I also a partner at a sside Investment Bank so what that means is we Investment Bank so what that means is we Investment Bank so what that means is we helped sell uh mostly B2B SAS businesses helped sell uh mostly B2B SAS businesses helped sell uh mostly B2B SAS businesses sort of in that 2 to 10 million AR range sort of in that 2 to 10 million AR range sort of in that 2 to 10 million AR range that's what we do mostly the private that's what we do mostly the private that's what we do mostly the private equity and so I was like okay let's just equity and so I was like okay let's just equity and so I was like okay let's just do it let's just ask CH GPT and see what do it let's just ask CH GPT and see what do it let's just ask CH GPT and see what it can do hello I run a salside m&a it can do hello I run a salside m&a it can do hello I run a salside m&a Investment Bank I'm hoping you guys can Investment Bank I'm hoping you guys can Investment Bank I'm hoping you guys can see the text by the way because see the text by the way because see the text by the way because otherwise this is going to be quite a otherwise this is going to be quite a otherwise this is going to be quite a boring talk at the back um I've run a boring talk at the back um I've run a boring talk at the back um I've run a salside m&a Investment Bank I'm looking salside m&a Investment Bank I'm looking salside m&a Investment Bank I'm looking for B2B SAS businesses with 2 to 10 for B2B SAS businesses with 2 to 10 for B2B SAS businesses with 2 to 10 million ARR that want to sell please million ARR that want to sell please million ARR that want to sell please list 25 and actually that's like a trick list 25 and actually that's like a trick list 25 and actually that's like a trick for me too if you're looking for for me too if you're looking for for me too if you're looking for something ask for at least 25 if not 50 something ask for at least 25 if not 50 something ask for at least 25 if not 50 of something because usually the first of something because usually the first of something because usually the first five qu five answers are absolutely five qu five answers are absolutely five qu five answers are absolutely super boring and predictable and then it super boring and predictable and then it super boring and predictable and then it gets interesting after that anyway so gets interesting after that anyway so gets interesting after that anyway so then it goes up and it's absolute then it goes up and it's absolute then it goes up and it's absolute garbage as you can see it says I can garbage as you can see it says I can garbage as you can see it says I can assist you in finding directories or assist you in finding directories or assist you in finding directories or platforms where they are listed for sale platforms where they are listed for sale platforms where they are listed for sale however identifying specific businesses however identifying specific businesses however identifying specific businesses within the requested Revenue range may within the requested Revenue range may within the requested Revenue range may require more indepth research or require more indepth research or require more indepth research or potentially direct Outreach to the potentially direct Outreach to the potentially direct Outreach to the companies right and then it goes on to companies right and then it goes on to companies right and then it goes on to make even I mean to a degree at least it make even I mean to a degree at least it make even I mean to a degree at least it wasn't hallucinating so badly that it wasn't hallucinating so badly that it wasn't hallucinating so badly that it started just giving me names right it started just giving me names right it started just giving me names right it could have just done that which is what

could have just done that which is what could have just done that which is what he was doing before with version like he was doing before with version like he was doing before with version like chat gbt 3 it would have just gone chat gbt 3 it would have just gone chat gbt 3 it would have just gone Oracle Microsoft and just like made up Oracle Microsoft and just like made up Oracle Microsoft and just like made up seven German software firms that didn't seven German software firms that didn't seven German software firms that didn't exist you know but at least now is doing exist you know but at least now is doing exist you know but at least now is doing it now it's completely wrong because it now it's completely wrong because it now it's completely wrong because like for a number of reasons first of like for a number of reasons first of like for a number of reasons first of all bis bu sell they don't even list all bis bu sell they don't even list all bis bu sell they don't even list software companies like if you want to software companies like if you want to software companies like if you want to buy a chain of you know gas stations in buy a chain of you know gas stations in buy a chain of you know gas stations in Oklahoma bisb sells your place it's an Oklahoma bisb sells your place it's an Oklahoma bisb sells your place it's an amazing for that similarly flipper flipp amazing for that similarly flipper flipp amazing for that similarly flipper flipp is great but if you have a 5 million AR is great but if you have a 5 million AR is great but if you have a 5 million AR SAS business like if one of your friends SAS business like if one of your friends SAS business like if one of your friends is listing their 5 million AR House is listing their 5 million AR House is listing their 5 million AR House business on flipper then they're making business on flipper then they're making business on flipper then they're making a mistake and they should call me a mistake and they should call me a mistake and they should call me instead so and and finally like if instead so and and finally like if instead so and and finally like if they're already on Flippa or bis by cell they're already on Flippa or bis by cell they're already on Flippa or bis by cell or you know some of the other places or you know some of the other places or you know some of the other places well then they probably already that's well then they probably already that's well then they probably already that's too late for us you probably have a too late for us you probably have a too late for us you probably have a similar problem right you probably know similar problem right you probably know similar problem right you probably know when a big potential lead for you when a big potential lead for you when a big potential lead for you becomes a customer of someone else and becomes a customer of someone else and becomes a customer of someone else and and sort of picks your competitor but at and sort of picks your competitor but at and sort of picks your competitor but at that point it's too late right they've that point it's too late right they've that point it's too late right they've already made their choice you wanted to already made their choice you wanted to already made their choice you wanted to know that they were in the mood to know that they were in the mood to know that they were in the mood to purchase before they actually made their purchase before they actually made their purchase before they actually made their purchase decision so that you can purchase decision so that you can purchase decision so that you can influence it in that influence it in that influence it in that way all right so why does this fail in way all right so why does this fail in way all right so why does this fail in general this fails because llms are general this fails because llms are general this fails because llms are extremely extremely bad at like all the extremely extremely bad at like all the extremely extremely bad at like all the questions if you ask it things like give questions if you ask it things like give questions if you ask it things like give me all the whatever it is some sort of a me all the whatever it is some sort of a me all the whatever it is some sort of a produce some sort of exhaustive list or produce some sort of exhaustive list or produce some sort of exhaustive list or a long list of things is extremely bad

a long list of things is extremely bad a long list of things is extremely bad at it because that's not the kind of a at it because that's not the kind of a at it because that's not the kind of a system it's it's set up to to create system it's it's set up to to create system it's it's set up to to create it's set up to basically pleasingly it's set up to basically pleasingly it's set up to basically pleasingly provide the next you know token or text provide the next you know token or text provide the next you know token or text um or word that humans like that's what um or word that humans like that's what um or word that humans like that's what it's good for it's really bad at things it's good for it's really bad at things it's good for it's really bad at things like all the questions so don't ask like all the questions so don't ask like all the questions so don't ask questions like that and then finally questions like that and then finally questions like that and then finally even if it wasn't uh bad at this the even if it wasn't uh bad at this the even if it wasn't uh bad at this the information simply isn't out there what information simply isn't out there what information simply isn't out there what are we doing are we doing are we doing now okay so my first thought was all now okay so my first thought was all now okay so my first thought was all right so I have a list of SAS companies right so I have a list of SAS companies right so I have a list of SAS companies I can figure out if they're SAS I can figure out if they're SAS I can figure out if they're SAS companies that's reasonably companies that's reasonably companies that's reasonably straightforward right you guys can straightforward right you guys can straightforward right you guys can probably if you look at a website you probably if you look at a website you probably if you look at a website you can probably go like this and go yeah can probably go like this and go yeah can probably go like this and go yeah that looks like a SAS company like it that looks like a SAS company like it that looks like a SAS company like it typically has a pricing page it does all typically has a pricing page it does all typically has a pricing page it does all this stuff so finding a list of SAS this stuff so finding a list of SAS this stuff so finding a list of SAS companies is not all that hard but the companies is not all that hard but the companies is not all that hard but the problem is particularly with like design problem is particularly with like design problem is particularly with like design not necessarily correlating to revenue not necessarily correlating to revenue not necessarily correlating to revenue how do you even know um you know that how do you even know um you know that how do you even know um you know that somebody is doing 20 million in revenue somebody is doing 20 million in revenue somebody is doing 20 million in revenue or 20 $20 in Revenue it's very hard to or 20 $20 in Revenue it's very hard to or 20 $20 in Revenue it's very hard to do right you can't find out actually so do right you can't find out actually so do right you can't find out actually so I'm very small some people spend way too I'm very small some people spend way too I'm very small some people spend way too much time on design and not enough time much time on design and not enough time much time on design and not enough time on marketing and sales and so their on marketing and sales and so their on marketing and sales and so their website looks baller but they have like website looks baller but they have like website looks baller but they have like 500 in Revenue versus some really ugly 500 in Revenue versus some really ugly 500 in Revenue versus some really ugly websites I can tell you are making websites I can tell you are making websites I can tell you are making millions of dollars so that's not millions of dollars so that's not millions of dollars so that's not actually a good way to do it however my actually a good way to do it however my actually a good way to do it however my first thought was okay and actually I'm first thought was okay and actually I'm first thought was okay and actually I'm not going to show this because the talk not going to show this because the talk not going to show this because the talk was going to get too long um my you know was going to get too long um my you know was going to get too long um my you know I actually use chat gbt to help me out I actually use chat gbt to help me out I actually use chat gbt to help me out with this too the first one was like with this too the first one was like with this too the first one was like okay let's just do a heuristic let's okay let's just do a heuristic let's okay let's just do a heuristic let's just say okay let's use builtwith and

just say okay let's use builtwith and just say okay let's use builtwith and builtwith is basically like a search builtwith is basically like a search builtwith is basically like a search engine if how many here know builtwith engine if how many here know builtwith engine if how many here know builtwith do you know what it is okay most of you do you know what it is okay most of you do you know what it is okay most of you good so for those of you that don't it good so for those of you that don't it good so for those of you that don't it basically just means like what are the basically just means like what are the basically just means like what are the technologies that are installed on the technologies that are installed on the technologies that are installed on the various websites it's like a search various websites it's like a search various websites it's like a search engine but not for content right and and engine but not for content right and and engine but not for content right and and one of the things that it does is it one of the things that it does is it one of the things that it does is it includes this spend estimate so it includes this spend estimate so it includes this spend estimate so it basically says all right we know roughly basically says all right we know roughly basically says all right we know roughly how much various software cost we know how much various software cost we know how much various software cost we know what you know is installed on the what you know is installed on the what you know is installed on the software um on the website that gives us software um on the website that gives us software um on the website that gives us an idea roughly how much money they're an idea roughly how much money they're an idea roughly how much money they're spending on software each month the spending on software each month the spending on software each month the thesis is you spend more money on thesis is you spend more money on thesis is you spend more money on software maybe you're a bigger you know software maybe you're a bigger you know software maybe you're a bigger you know AR Mr business so genius right more AR Mr business so genius right more AR Mr business so genius right more spend bigger SAS business seems spend bigger SAS business seems spend bigger SAS business seems reasonable um the problem is it doesn't reasonable um the problem is it doesn't reasonable um the problem is it doesn't work and so if you just straightforward work and so if you just straightforward work and so if you just straightforward do that um you end up in a scenario do that um you end up in a scenario do that um you end up in a scenario where basically at best the model of where basically at best the model of where basically at best the model of theistic you come up with is like 50/50 theistic you come up with is like 50/50 theistic you come up with is like 50/50 and so it's wrong half the time and the and so it's wrong half the time and the and so it's wrong half the time and the problem with that is at least from my uh problem with that is at least from my uh problem with that is at least from my uh business and I think for a lot of your business and I think for a lot of your business and I think for a lot of your guys case is that if you are wrong 50% guys case is that if you are wrong 50% guys case is that if you are wrong 50% of the time you end up spending way too of the time you end up spending way too of the time you end up spending way too much resources on leads that actually much resources on leads that actually much resources on leads that actually don't fit you know as your ideal don't fit you know as your ideal don't fit you know as your ideal customer profile it just doesn't it just customer profile it just doesn't it just customer profile it just doesn't it just doesn't make any sense to do so and so doesn't make any sense to do so and so doesn't make any sense to do so and so for example like particularly if you're for example like particularly if you're for example like particularly if you're doing like Enterprise sales or bigger doing like Enterprise sales or bigger doing like Enterprise sales or bigger ticker like items a lot of the time what ticker like items a lot of the time what ticker like items a lot of the time what you want to do is if you think someone you want to do is if you think someone you want to do is if you think someone is a very good fit for you you might is a very good fit for you you might is a very good fit for you you might spend a fair amount of resources on

spend a fair amount of resources on spend a fair amount of resources on trying to to at least make that lead trying to to at least make that lead trying to to at least make that lead aware that you exist but if it turns out aware that you exist but if it turns out aware that you exist but if it turns out that you invest all this money all this that you invest all this money all this that you invest all this money all this effort into somebody and actually it's effort into somebody and actually it's effort into somebody and actually it's just you know a SAS company that has no just you know a SAS company that has no just you know a SAS company that has no Revenue then he wasted all that stuff so Revenue then he wasted all that stuff so Revenue then he wasted all that stuff so for us this is it just means that's way for us this is it just means that's way for us this is it just means that's way too much time and effort wasted on too much time and effort wasted on too much time and effort wasted on reaching out to two small um SAS firms reaching out to two small um SAS firms reaching out to two small um SAS firms so what do we so what do we so what do we do well the actual um hero of our story do well the actual um hero of our story do well the actual um hero of our story is something called chat GPT Advanced is something called chat GPT Advanced is something called chat GPT Advanced Data analysis how many people here have Data analysis how many people here have Data analysis how many people here have heard of chat GPT Advanced Data heard of chat GPT Advanced Data heard of chat GPT Advanced Data analysis all right keep your hands up analysis all right keep your hands up analysis all right keep your hands up how many have used it more than two how many have used it more than two how many have used it more than two times okay times okay times okay so three Heroes here out of hundreds so three Heroes here out of hundreds so three Heroes here out of hundreds that's about right I I thought five I that's about right I I thought five I that's about right I I thought five I got got with got with uh three so I I'll got got with got with uh three so I I'll got got with got with uh three so I I'll goope with that what it is is based goope with that what it is is based goope with that what it is is based basically first of all you have to be a basically first of all you have to be a basically first of all you have to be a paying customer of chat gbt and if paying customer of chat gbt and if paying customer of chat gbt and if you're not then you're being too tight you're not then you're being too tight you're not then you're being too tight and you should really do that um it and you should really do that um it and you should really do that um it gives you access you have to go into gives you access you have to go into gives you access you have to go into settings and then enable it and then you settings and then enable it and then you settings and then enable it and then you can when you hover over the GPT 4 you can when you hover over the GPT 4 you can when you hover over the GPT 4 you can do the default one which is just gp4 can do the default one which is just gp4 can do the default one which is just gp4 or you can do browse with Bing which I or you can do browse with Bing which I or you can do browse with Bing which I don't know what that does and then but don't know what that does and then but don't know what that does and then but this is the one that you want the this is the one that you want the this is the one that you want the Advanced Data analysis and effectively Advanced Data analysis and effectively Advanced Data analysis and effectively what it is it's chat gpt's most capable what it is it's chat gpt's most capable what it is it's chat gpt's most capable model plus a python interpreter and it model plus a python interpreter and it model plus a python interpreter and it gives gives you this magical button gives gives you this magical button gives gives you this magical button right here this magical button right right here this magical button right right here this magical button right here means that you can upload files to here means that you can upload files to here means that you can upload files to it up to like 100 megabytes and it will it up to like 100 megabytes and it will it up to like 100 megabytes and it will do analysis on it so now it has the

do analysis on it so now it has the do analysis on it so now it has the ability to upload files it has the chat ability to upload files it has the chat ability to upload files it has the chat GPT and it has a python interpreter GPT and it has a python interpreter GPT and it has a python interpreter environment that it can write and run environment that it can write and run environment that it can write and run coded and evaluated and this thing coded and evaluated and this thing coded and evaluated and this thing honestly is extremely honestly is extremely honestly is extremely capable and like if if your last capable and like if if your last capable and like if if your last interaction with chat gbt was like chat interaction with chat gbt was like chat interaction with chat gbt was like chat gbt 3 or 3.5 like 6 months ago you owe gbt 3 or 3.5 like 6 months ago you owe gbt 3 or 3.5 like 6 months ago you owe it to yourself to go and play with this it to yourself to go and play with this it to yourself to go and play with this thing because it is mind-blowing and thing because it is mind-blowing and thing because it is mind-blowing and basically for our purposes it's a little basically for our purposes it's a little basically for our purposes it's a little bit like having a seconde university bit like having a seconde university bit like having a seconde university stat student at your becking call which stat student at your becking call which stat student at your becking call which is obviously extremely valuable the only is obviously extremely valuable the only is obviously extremely valuable the only downside is the thing is disgustingly downside is the thing is disgustingly downside is the thing is disgustingly cheerful as you will cheerful as you will cheerful as you will see okay so let's just do this and like see okay so let's just do this and like see okay so let's just do this and like keep in the context of what I was doing keep in the context of what I was doing keep in the context of what I was doing again I'm just taking this approach again I'm just taking this approach again I'm just taking this approach where I'm like I'm just talking to it so where I'm like I'm just talking to it so where I'm like I'm just talking to it so let's say hello I a sside m&a Investment let's say hello I a sside m&a Investment let's say hello I a sside m&a Investment Bank I'm looking for B2B SAS businesses Bank I'm looking for B2B SAS businesses Bank I'm looking for B2B SAS businesses with 2 to 10 million AR and then I say with 2 to 10 million AR and then I say with 2 to 10 million AR and then I say if I have a list of companies where I if I have a list of companies where I if I have a list of companies where I know the Mr and I know this because of know the Mr and I know this because of know the Mr and I know this because of you know Tiny Seed and discretion I have you know Tiny Seed and discretion I have you know Tiny Seed and discretion I have you know some stuff and then um and then you know some stuff and then um and then you know some stuff and then um and then another list of those same companies another list of those same companies another list of those same companies with various externally observable facts with various externally observable facts with various externally observable facts so these are the stuff that I just so these are the stuff that I just so these are the stuff that I just downloaded from builtwith right do you downloaded from builtwith right do you downloaded from builtwith right do you think you could help me predict the mrr think you could help me predict the mrr think you could help me predict the mrr of a given company is greater than some of a given company is greater than some of a given company is greater than some number let's number let's number let's see well first of all like a side note see well first of all like a side note see well first of all like a side note here so I actually hate the word prompt here so I actually hate the word prompt here so I actually hate the word prompt engineering because what it ends up engineering because what it ends up engineering because what it ends up doing is giving people writer block and doing is giving people writer block and doing is giving people writer block and actually programmers are the worst at actually programmers are the worst at actually programmers are the worst at this because programmers in their head

this because programmers in their head this because programmers in their head have this view that like they have to have this view that like they have to have this view that like they have to like model things in their head and then like model things in their head and then like model things in their head and then precisely write things down on the page precisely write things down on the page precisely write things down on the page and that actually is is really bad for and that actually is is really bad for and that actually is is really bad for chat GPT and in general you should just chat GPT and in general you should just chat GPT and in general you should just start talking to it and just like start talking to it and just like start talking to it and just like interacting with it much more because if interacting with it much more because if interacting with it much more because if you have like this what I call the chat you have like this what I call the chat you have like this what I call the chat gbt writers Block it's it's actually gbt writers Block it's it's actually gbt writers Block it's it's actually worse than the normal writers block worse than the normal writers block worse than the normal writers block because with the normal writers block because with the normal writers block because with the normal writers block you're not producing anything but with you're not producing anything but with you're not producing anything but with chat gbt writers block not only are you chat gbt writers block not only are you chat gbt writers block not only are you not producing anything but you're also not producing anything but you're also not producing anything but you're also sort of missing out on chat gbt teaching sort of missing out on chat gbt teaching sort of missing out on chat gbt teaching you something that you may not know so you something that you may not know so you something that you may not know so rather than thinking about this like oh rather than thinking about this like oh rather than thinking about this like oh I have to perfectly figure out how to I have to perfectly figure out how to I have to perfectly figure out how to engineer this prompt so I get the right engineer this prompt so I get the right engineer this prompt so I get the right answer it's just like just talk to it answer it's just like just talk to it answer it's just like just talk to it just interact with it it's usually a just interact with it it's usually a just interact with it it's usually a much more productive way particularly much more productive way particularly much more productive way particularly when you're doing exploratory stuff so when you're doing exploratory stuff so when you're doing exploratory stuff so like I said disgustingly cheerful like I said disgustingly cheerful like I said disgustingly cheerful absolutely all right predicting the absolutely all right predicting the absolutely all right predicting the monthly Mr of a company based on various monthly Mr of a company based on various monthly Mr of a company based on various observable fact is a classic regression observable fact is a classic regression observable fact is a classic regression and classification problem depending on and classification problem depending on and classification problem depending on you do it here is a high level approach you do it here is a high level approach you do it here is a high level approach you see what it's done now I just gave you see what it's done now I just gave you see what it's done now I just gave you two things I was just like hey I you two things I was just like hey I you two things I was just like hey I have this problem I have this data what have this problem I have this data what have this problem I have this data what do you think can you help me and instead do you think can you help me and instead do you think can you help me and instead it lays out basically the six steps that it lays out basically the six steps that it lays out basically the six steps that are involved in uh running a classic are involved in uh running a classic are involved in uh running a classic regression and classification problem regression and classification problem regression and classification problem from scratch so it says let's do data from scratch so it says let's do data from scratch so it says let's do data preparation let's do future engineering preparation let's do future engineering preparation let's do future engineering let's do model selection let's do model let's do model selection let's do model let's do model selection let's do model training model evaluation deployment training model evaluation deployment training model evaluation deployment prediction and then obviously there's prediction and then obviously there's prediction and then obviously there's there's the other uh Improvement so there's the other uh Improvement so there's the other uh Improvement so let's dive into this and keep in mind let's dive into this and keep in mind let's dive into this and keep in mind like my background is fairly technical I

like my background is fairly technical I like my background is fairly technical I have a PhD in computer science but it's have a PhD in computer science but it's have a PhD in computer science but it's been a long time since I did any of this been a long time since I did any of this been a long time since I did any of this stuff and so because it's it usually stuff and so because it's it usually stuff and so because it's it usually takes you a fair amount of effort to get takes you a fair amount of effort to get takes you a fair amount of effort to get up to speed to use these toolings up to speed to use these toolings up to speed to use these toolings directly yourself I haven't done it in directly yourself I haven't done it in directly yourself I haven't done it in like 10 years Okay so oh and I I'll like 10 years Okay so oh and I I'll like 10 years Okay so oh and I I'll highlight some of the stuff here the highlight some of the stuff here the highlight some of the stuff here the stuff in red is like me going like yeah stuff in red is like me going like yeah stuff in red is like me going like yeah I sort of kind of this is like think of I sort of kind of this is like think of I sort of kind of this is like think of every like red line as like two days of every like red line as like two days of every like red line as like two days of work for your competent programmer to work for your competent programmer to work for your competent programmer to figure out okay how do I do this how do figure out okay how do I do this how do figure out okay how do I do this how do I go to stack Overflow what the some the I go to stack Overflow what the some the I go to stack Overflow what the some the example of this cut and paste this stuff example of this cut and paste this stuff example of this cut and paste this stuff run it oh do I need to understand this run it oh do I need to understand this run it oh do I need to understand this blah blah blah blah blah so it goes blah blah blah blah blah so it goes blah blah blah blah blah so it goes through and data preparation if you've through and data preparation if you've through and data preparation if you've ever done any serious ml stuff this ever done any serious ml stuff this ever done any serious ml stuff this they'll tell you this is usually the they'll tell you this is usually the they'll tell you this is usually the most painful part of the whole thing so most painful part of the whole thing so most painful part of the whole thing so the fact that it just kind of does it is the fact that it just kind of does it is the fact that it just kind of does it is sort of mind-blowing so first it says sort of mind-blowing so first it says sort of mind-blowing so first it says I'll check for missing values which of I'll check for missing values which of I'll check for missing values which of course you have to do but like if you course you have to do but like if you course you have to do but like if you never thought about it then it's kind of never thought about it then it's kind of never thought about it then it's kind of hard to come up with um then we'll need hard to come up with um then we'll need hard to come up with um then we'll need to convert the Technologies this into a to convert the Technologies this into a to convert the Technologies this into a format suitable for machine learning format suitable for machine learning format suitable for machine learning models I mean obviously that's true you models I mean obviously that's true you models I mean obviously that's true you need to put it into a format that makes need to put it into a format that makes need to put it into a format that makes sense but again that line there is sense but again that line there is sense but again that line there is probably two days down a rabbit hole of probably two days down a rabbit hole of probably two days down a rabbit hole of stack Overflow and figuring things out stack Overflow and figuring things out stack Overflow and figuring things out and doing like what the hell is going on and doing like what the hell is going on and doing like what the hell is going on here and then it says all right let's here and then it says all right let's here and then it says all right let's create a binary Target variable and create a binary Target variable and create a binary Target variable and again like yeah obviously it's a again like yeah obviously it's a again like yeah obviously it's a classification task yes or no we got to classification task yes or no we got to classification task yes or no we got to figure how to do that but even like figure how to do that but even like figure how to do that but even like learning to understand what a binary learning to understand what a binary learning to understand what a binary Target variable is and how to do that is Target variable is and how to do that is Target variable is and how to do that is probably another half a day at least probably another half a day at least probably another half a day at least okay so it goes through and it just does okay so it goes through and it just does okay so it goes through and it just does it in this case it just let's start for it in this case it just let's start for it in this case it just let's start for checking with missing values and it says checking with missing values and it says checking with missing values and it says uh technologist has no missing values

uh technologist has no missing values uh technologist has no missing values however Mr has 48 missing values um and however Mr has 48 missing values um and however Mr has 48 missing values um and then it suggests some options for you in then it suggests some options for you in then it suggests some options for you in this case I haven't shown you the entire this case I haven't shown you the entire this case I haven't shown you the entire stuff but it says you want to remove the stuff but it says you want to remove the stuff but it says you want to remove the rul or do you want to remove the row or rul or do you want to remove the row or rul or do you want to remove the row or do you want to impute them and I just do you want to impute them and I just do you want to impute them and I just say let's just let's just kind of remove say let's just let's just kind of remove say let's just let's just kind of remove them them them okay it moves on the feature engineering okay it moves on the feature engineering okay it moves on the feature engineering all right next we will like I said it's all right next we will like I said it's all right next we will like I said it's very cheerful next we'll work on very cheerful next we'll work on very cheerful next we'll work on converting the Technologies list into a converting the Technologies list into a converting the Technologies list into a format um that can be used for machine format um that can be used for machine format um that can be used for machine learning and then let's do it into uh learning and then let's do it into uh learning and then let's do it into uh something called one hot encoding something called one hot encoding something called one hot encoding another line there this is probably another line there this is probably another line there this is probably another days worth of my time when I'm another days worth of my time when I'm another days worth of my time when I'm like okay I have an array of texts how like okay I have an array of texts how like okay I have an array of texts how do I turn that into a format that makes do I turn that into a format that makes do I turn that into a format that makes sense for these models while it's one sense for these models while it's one sense for these models while it's one hot encoding first I'd have to figure hot encoding first I'd have to figure hot encoding first I'd have to figure that all out understand that I needed to that all out understand that I needed to that all out understand that I needed to do something in the one hard encoding do something in the one hard encoding do something in the one hard encoding and then actually do it and like I said and then actually do it and like I said and then actually do it and like I said that's at least half a day if not two that's at least half a day if not two that's at least half a day if not two and this just does it and then it says and this just does it and then it says and this just does it and then it says we'll create a binary Target variable we'll create a binary Target variable we'll create a binary Target variable let's start with a one hot encoding and let's start with a one hot encoding and let's start with a one hot encoding and then it just kind of just goes away does then it just kind of just goes away does then it just kind of just goes away does a little work comes back all right it a little work comes back all right it a little work comes back all right it says the one hot encoding on the says the one hot encoding on the says the one hot encoding on the Technologies list has resulted in 2,161 Technologies list has resulted in 2,161 Technologies list has resulted in 2,161 binary features Additionally the binary binary features Additionally the binary binary features Additionally the binary Target variable Mr over 100,000 that was Target variable Mr over 100,000 that was Target variable Mr over 100,000 that was the threshold I sent has been the threshold I sent has been the threshold I sent has been successfully successfully successfully created created created amazing all right then and again again I amazing all right then and again again I amazing all right then and again again I just wanted to point out this is one just wanted to point out this is one just wanted to point out this is one session this is me sitting there for 45 session this is me sitting there for 45 session this is me sitting there for 45 minutes just [ __ ] around with it minutes just [ __ ] around with it minutes just [ __ ] around with it pardon my French and it says all right pardon my French and it says all right pardon my French and it says all right now that we have our features at Target now that we have our features at Target now that we have our features at Target Val we can proceed with trading Val we can proceed with trading Val we can proceed with trading classifier now I told it and this is me classifier now I told it and this is me classifier now I told it and this is me feeding this more data than you feeding this more data than you feeding this more data than you necessarily need like I told you that

necessarily need like I told you that necessarily need like I told you that Precision is more important than recall Precision is more important than recall Precision is more important than recall in my case it suggests that I'm using a in my case it suggests that I'm using a in my case it suggests that I'm using a model that allows us to optimize for model that allows us to optimize for model that allows us to optimize for this metric and I cared about Precision this metric and I cared about Precision this metric and I cared about Precision more than recall anyway the fact is when more than recall anyway the fact is when more than recall anyway the fact is when I started this like 45 minutes half an I started this like 45 minutes half an I started this like 45 minutes half an hour before this this this point I I hour before this this this point I I hour before this this this point I I didn't really know what a random forest didn't really know what a random forest didn't really know what a random forest classifier was nor did I really classifier was nor did I really classifier was nor did I really understand that this was a decent model understand that this was a decent model understand that this was a decent model if you wanted to tune precision versus if you wanted to tune precision versus if you wanted to tune precision versus recall it just knows this and sort of recall it just knows this and sort of recall it just knows this and sort of just does the right thing while just does the right thing while just does the right thing while educating you in the process all right educating you in the process all right educating you in the process all right would you like to proceed with the would you like to proceed with the would you like to proceed with the training model and I go yes please training model and I go yes please training model and I go yes please because you have to be very polite to because you have to be very polite to because you have to be very polite to your model otherwise it won't behave as your model otherwise it won't behave as your model otherwise it won't behave as well the random Forest classifier has well the random Forest classifier has well the random Forest classifier has been trained and evaluated here are the been trained and evaluated here are the been trained and evaluated here are the results and then it spits out this stuff results and then it spits out this stuff results and then it spits out this stuff and I you know I like I said I I have and I you know I like I said I I have and I you know I like I said I I have PhD in computer science when I first SP PhD in computer science when I first SP PhD in computer science when I first SP this out I was this out I was this out I was like what does that mean I don't like what does that mean I don't like what does that mean I don't remember it looks good there's Precision remember it looks good there's Precision remember it looks good there's Precision there's an F1 F1 like racing that's good there's an F1 F1 like racing that's good there's an F1 F1 like racing that's good there's a confusion Matrix that's there's a confusion Matrix that's there's a confusion Matrix that's confusing okay but it's a little bit confusing okay but it's a little bit confusing okay but it's a little bit like it goes along and it says okay it like it goes along and it says okay it like it goes along and it says okay it tells you and you can just ask it this tells you and you can just ask it this tells you and you can just ask it this is why I'm saying like in general I see is why I'm saying like in general I see is why I'm saying like in general I see too many people like they get to this too many people like they get to this too many people like they get to this problem and they're like I don't problem and they're like I don't problem and they're like I don't understand this I'm going to Google it understand this I'm going to Google it understand this I'm going to Google it and then they Google the question I'm and then they Google the question I'm and then they Google the question I'm like what are you talking about just like what are you talking about just like what are you talking about just have it explain it to you and so it does have it explain it to you and so it does have it explain it to you and so it does it starts to do this and it actually it starts to do this and it actually it starts to do this and it actually says the Precision for the class is 100 says the Precision for the class is 100 says the Precision for the class is 100 which means when the model predicts that which means when the model predicts that which means when the model predicts that Mr is greater than 100 is always correct Mr is greater than 100 is always correct Mr is greater than 100 is always correct however the recall is quite low however the recall is quite low however the recall is quite low indicating the model missing significant

indicating the model missing significant indicating the model missing significant number of instances which is fine and number of instances which is fine and number of instances which is fine and actually like the confusion Matrix I actually like the confusion Matrix I actually like the confusion Matrix I think is something along the lines think is something along the lines think is something along the lines of uh How does it go I think it's like of uh How does it go I think it's like of uh How does it go I think it's like uh true positive predicted positive true uh true positive predicted positive true uh true positive predicted positive true negative predicted negative something negative predicted negative something negative predicted negative something like that anyway but the point is if you like that anyway but the point is if you like that anyway but the point is if you know as little or less than me about know as little or less than me about know as little or less than me about this stuff you just at this point you this stuff you just at this point you this stuff you just at this point you would just spend 20 minutes having would just spend 20 minutes having would just spend 20 minutes having saying like Okay can you explain this saying like Okay can you explain this saying like Okay can you explain this please as if I'm and then whatever level please as if I'm and then whatever level please as if I'm and then whatever level you want five high school college you want five high school college you want five high school college whatever and it'll walk you through the whatever and it'll walk you through the whatever and it'll walk you through the model and do it and actually this side model and do it and actually this side model and do it and actually this side of the gate is pretty good you know it's of the gate is pretty good you know it's of the gate is pretty good you know it's comes along and it says Fair what this comes along and it says Fair what this comes along and it says Fair what this basically means is okay this is the ones basically means is okay this is the ones basically means is okay this is the ones I'm looking for right I want to look for I'm looking for right I want to look for I'm looking for right I want to look for Mr more than 100,000 um and and Mr more than 100,000 um and and Mr more than 100,000 um and and precision means like if it makes a call precision means like if it makes a call precision means like if it makes a call and says this company is more than and says this company is more than and says this company is more than 100,000 at least in the evaluation data 100,000 at least in the evaluation data 100,000 at least in the evaluation data set it says it's right all the time it's set it says it's right all the time it's set it says it's right all the time it's pretty good the downside here is um the pretty good the downside here is um the pretty good the downside here is um the recall is only 02 which means it misses recall is only 02 which means it misses recall is only 02 which means it misses 80% of the ones that actually are above 80% of the ones that actually are above 80% of the ones that actually are above 100,000 so I was like this is Sweet 100,000 so I was like this is Sweet 100,000 so I was like this is Sweet let's keep going okay so it then says let's keep going okay so it then says let's keep going okay so it then says would you like to try to fine-tune the would you like to try to fine-tune the would you like to try to fine-tune the model or is there anything else you model or is there anything else you model or is there anything else you would like to do and and again I'm sort would like to do and and again I'm sort would like to do and and again I'm sort of cut for times there and I say uh can of cut for times there and I say uh can of cut for times there and I say uh can we try an svm approach which is another we try an svm approach which is another we try an svm approach which is another model like in theory what you'd probably model like in theory what you'd probably model like in theory what you'd probably do here um if you didn't have short time do here um if you didn't have short time do here um if you didn't have short time and wasn't giving a presentation you'd and wasn't giving a presentation you'd and wasn't giving a presentation you'd be like you know tell me about the be like you know tell me about the be like you know tell me about the trade-offs of the various models and trade-offs of the various models and trade-offs of the various models and they would tell you about support Vector they would tell you about support Vector they would tell you about support Vector machines and random force classifiers machines and random force classifiers machines and random force classifiers and all the other uh different and all the other uh different and all the other uh different classification algorithms that are and classification algorithms that are and classification algorithms that are and the various trade-offs and how they were

the various trade-offs and how they were the various trade-offs and how they were tunable and all this stuff and this is tunable and all this stuff and this is tunable and all this stuff and this is the interesting thing about this it sort the interesting thing about this it sort the interesting thing about this it sort of goes between being like an extremely of goes between being like an extremely of goes between being like an extremely capable tool that just executes for you capable tool that just executes for you capable tool that just executes for you and then at the same time when you need and then at the same time when you need and then at the same time when you need it at the level that you needed it it at the level that you needed it it at the level that you needed it becomes an educator which goes like oh becomes an educator which goes like oh becomes an educator which goes like oh you don't understand this piece let me you don't understand this piece let me you don't understand this piece let me explain it to you in the detail that you explain it to you in the detail that you explain it to you in the detail that you want um and then you can obviously ask want um and then you can obviously ask want um and then you can obviously ask it say hey I have specific example I it say hey I have specific example I it say hey I have specific example I have this this this you know can you use have this this this you know can you use have this this this you know can you use that as the example or the explainer for that as the example or the explainer for that as the example or the explainer for me so then it goes through and it says me so then it goes through and it says me so then it goes through and it says let's just do that let's just switch to let's just do that let's just switch to let's just do that let's just switch to an svm model and train it and it goes an svm model and train it and it goes an svm model and train it and it goes okay it's done and again it's been okay it's done and again it's been okay it's done and again it's been trained and evaluated again like this is trained and evaluated again like this is trained and evaluated again like this is me just saying yes clicking a button and me just saying yes clicking a button and me just saying yes clicking a button and it builds the svm does classification it builds the svm does classification it builds the svm does classification spits out the classification report spits out the classification report spits out the classification report report spits out the confusion Matrix report spits out the confusion Matrix report spits out the confusion Matrix for a wholly different model and if that for a wholly different model and if that for a wholly different model and if that doesn't improve you impress you then I doesn't improve you impress you then I doesn't improve you impress you then I guarantee you you've not not done a lot guarantee you you've not not done a lot guarantee you you've not not done a lot of machine learning or training um or of machine learning or training um or of machine learning or training um or statistics really in in in real life statistics really in in in real life statistics really in in in real life okay so what I show you could do from okay so what I show you could do from okay so what I show you could do from Zero to Hero basically in under 45 Zero to Hero basically in under 45 Zero to Hero basically in under 45 minutes so okay you so you think to minutes so okay you so you think to minutes so okay you so you think to yourself all right fine like this is yourself all right fine like this is yourself all right fine like this is great now I have a model but like how do great now I have a model but like how do great now I have a model but like how do I glue that how do I get it close to I glue that how do I get it close to I glue that how do I get it close to something act usable and here's another something act usable and here's another something act usable and here's another thing with this too because you can thing with this too because you can thing with this too because you can download files no you not only can you download files no you not only can you download files no you not only can you upload files to it like whatever it upload files to it like whatever it upload files to it like whatever it produces it can produce a download thing produces it can produce a download thing produces it can produce a download thing for you so what I said was okay let's for you so what I said was okay let's for you so what I said was okay let's proceed can you give me all the files I proceed can you give me all the files I proceed can you give me all the files I need in order to just run this like okay

need in order to just run this like okay need in order to just run this like okay we we did this thing we modeled it out we we did this thing we modeled it out we we did this thing we modeled it out you know I'm not going to call chat GPT you know I'm not going to call chat GPT you know I'm not going to call chat GPT every time I need to do this every time I need to do this every time I need to do this classification how do I just do this classification how do I just do this classification how do I just do this locally and it says absolutely oh locally and it says absolutely oh locally and it says absolutely oh certainly in this case to make it it certainly in this case to make it it certainly in this case to make it it easy I'll provide you with the following easy I'll provide you with the following easy I'll provide you with the following files model file serialized version of files model file serialized version of files model file serialized version of the train model feature names a way to the train model feature names a way to the train model feature names a way to basically one hot encoding the new data basically one hot encoding the new data basically one hot encoding the new data and a python script to run it and then and a python script to run it and then and a python script to run it and then it explains what the script will do and it explains what the script will do and it explains what the script will do and then let's write it and then it's been then let's write it and then it's been then let's write it and then it's been created here you are and you can hardly created here you are and you can hardly created here you are and you can hardly see the download see the download see the download link that's pretty link that's pretty link that's pretty cool that's like okay so I was just cool that's like okay so I was just cool that's like okay so I was just fussing around I gave it some data we fussing around I gave it some data we fussing around I gave it some data we played around with it it it teach taught played around with it it it teach taught played around with it it it teach taught me some stuff that I didn't know and me some stuff that I didn't know and me some stuff that I didn't know and then it gave me uh something that I then it gave me uh something that I then it gave me uh something that I could just run so now I can come along could just run so now I can come along could just run so now I can come along and I can say we have 40,000 SAS and I can say we have 40,000 SAS and I can say we have 40,000 SAS companies in our database I could pray companies in our database I could pray companies in our database I could pray built with to give me the list of built with to give me the list of built with to give me the list of Technologies installed of all of those Technologies installed of all of those Technologies installed of all of those and then just run this model on my local and then just run this model on my local and then just run this model on my local database and now I have a pretty good database and now I have a pretty good database and now I have a pretty good idea of which SAS businesses are over my idea of which SAS businesses are over my idea of which SAS businesses are over my threshold in this case 100,000 threshold in this case 100,000 threshold in this case 100,000 Mr for me that's obviously super Mr for me that's obviously super Mr for me that's obviously super important because of the kind of important because of the kind of important because of the kind of companies that I care about and the key companies that I care about and the key companies that I care about and the key thing here is like what actually just thing here is like what actually just thing here is like what actually just happened here like it's worth stopping happened here like it's worth stopping happened here like it's worth stopping and pausing and thinking what actually and pausing and thinking what actually and pausing and thinking what actually happened and what actually happened was happened and what actually happened was happened and what actually happened was chat GPT used Python and the files you chat GPT used Python and the files you chat GPT used Python and the files you uploaded to solve this problem right and uploaded to solve this problem right and uploaded to solve this problem right and like specifically how it did it you can like specifically how it did it you can like specifically how it did it you can just look like you just take a look and just look like you just take a look and just look like you just take a look and you can say Well it imported the SK

you can say Well it imported the SK you can say Well it imported the SK learn models uh it imported the random learn models uh it imported the random learn models uh it imported the random Forest classifiers it got the Forest classifiers it got the Forest classifiers it got the classification port and the confusion classification port and the confusion classification port and the confusion Matrix and this is how it actually run Matrix and this is how it actually run Matrix and this is how it actually run it and this is important because a lot it and this is important because a lot it and this is important because a lot of people the reason why they're of people the reason why they're of people the reason why they're dismissing chat GPT at the moment or dismissing chat GPT at the moment or dismissing chat GPT at the moment or similar models is they're saying like oh similar models is they're saying like oh similar models is they're saying like oh um but it's just hallucinates things I um but it's just hallucinates things I um but it's just hallucinates things I can't trust it if you're an expert in can't trust it if you're an expert in can't trust it if you're an expert in the field and you ask it about the field the field and you ask it about the field the field and you ask it about the field you you'll know how stupid it is I'm you you'll know how stupid it is I'm you you'll know how stupid it is I'm like yeah but this is not the same as like yeah but this is not the same as like yeah but this is not the same as that this is an imp precise sometimes that this is an imp precise sometimes that this is an imp precise sometimes but very capable tool using a very but very capable tool using a very but very capable tool using a very precise tool and so the stuff that comes precise tool and so the stuff that comes precise tool and so the stuff that comes out of it the files that you download out of it the files that you download out of it the files that you download from chadis model are not we're not from chadis model are not we're not from chadis model are not we're not going to hallucinate they're sort of going to hallucinate they're sort of going to hallucinate they're sort of deterministic or at least more deterministic or at least more deterministic or at least more deterministic than chat GPT is more deterministic than chat GPT is more deterministic than chat GPT is more importantly importantly importantly though conceptually what though conceptually what though conceptually what happened conceptually we just spent 45 happened conceptually we just spent 45 happened conceptually we just spent 45 minutes is and 17 cents is to get minutes is and 17 cents is to get minutes is and 17 cents is to get results that usually I never see unless results that usually I never see unless results that usually I never see unless this business like a SAS business has 10 this business like a SAS business has 10 this business like a SAS business has 10 million AR or more in some cases I deal million AR or more in some cases I deal million AR or more in some cases I deal with 10 million AR businesses that don't with 10 million AR businesses that don't with 10 million AR businesses that don't have this kind of capability because have this kind of capability because have this kind of capability because what do they need to do it this isn't what do they need to do it this isn't what do they need to do it this isn't product features right so you can't like product features right so you can't like product features right so you can't like imagine taking your current developer imagine taking your current developer imagine taking your current developer even if you're a developer and say oh even if you're a developer and say oh even if you're a developer and say oh just start doing this stuff well they just start doing this stuff well they just start doing this stuff well they might figure it out in a couple of weeks might figure it out in a couple of weeks might figure it out in a couple of weeks but your feature development grinds to a but your feature development grinds to a but your feature development grinds to a halt so basically what you're going to halt so basically what you're going to halt so basically what you're going to need and usually is like you need a data need and usually is like you need a data need and usually is like you need a data analyst or two you need you know budget

analyst or two you need you know budget analyst or two you need you know budget to P pay for for bi tooling and then it to P pay for for bi tooling and then it to P pay for for bi tooling and then it starts to get into like expensive starts to get into like expensive starts to get into like expensive sounding Enterprise software like ETL sounding Enterprise software like ETL sounding Enterprise software like ETL and data lakes and all this stuff and in and data lakes and all this stuff and in and data lakes and all this stuff and in fact in Tiny Seed we tell people people fact in Tiny Seed we tell people people fact in Tiny Seed we tell people people like it's a good indicator that you can like it's a good indicator that you can like it's a good indicator that you can charge people more if they're using this charge people more if they're using this charge people more if they're using this kind of tooling and that's true because kind of tooling and that's true because kind of tooling and that's true because it's a very expensive thing but also it's a very expensive thing but also it's a very expensive thing but also crucially you need dedicated time to crucially you need dedicated time to crucially you need dedicated time to solve this issue which if you're like solve this issue which if you're like solve this issue which if you're like 99.9% of boost sters is you don't have 99.9% of boost sters is you don't have 99.9% of boost sters is you don't have dedicated time to do anything other than dedicated time to do anything other than dedicated time to do anything other than sell the [ __ ] out of your product and sell the [ __ ] out of your product and sell the [ __ ] out of your product and build more features right and the build more features right and the build more features right and the average bruise Trapper has none of that average bruise Trapper has none of that average bruise Trapper has none of that but you don't actually need that now but you don't actually need that now but you don't actually need that now like you can have the equivalent output like you can have the equivalent output like you can have the equivalent output of like a half a million of a year of like a half a million of a year of like a half a million of a year budget data tooling for 45 minutes and budget data tooling for 45 minutes and budget data tooling for 45 minutes and 17 cents and a bit of knowledge which I 17 cents and a bit of knowledge which I 17 cents and a bit of knowledge which I think is pretty cool okay so you might think is pretty cool okay so you might think is pretty cool okay so you might tell yourself well I'm not an investment tell yourself well I'm not an investment tell yourself well I'm not an investment bank I don't need to predict SAS Mr um bank I don't need to predict SAS Mr um bank I don't need to predict SAS Mr um just because you're being obnoxious and just because you're being obnoxious and just because you're being obnoxious and I can say well okay but you already have I can say well okay but you already have I can say well okay but you already have like basically what you're looking to like basically what you're looking to like basically what you're looking to for this particular use case what you're for this particular use case what you're for this particular use case what you're looking for what is the hidden what is looking for what is the hidden what is looking for what is the hidden what is the hidden variables what you're looking the hidden variables what you're looking the hidden variables what you're looking for and a lot of the time like can you for and a lot of the time like can you for and a lot of the time like can you predict which of your Lees look like predict which of your Lees look like predict which of your Lees look like your best stickers or biggest customers your best stickers or biggest customers your best stickers or biggest customers right you already have customers like right you already have customers like right you already have customers like you you definitely have some that you you you definitely have some that you you you definitely have some that you prefer over others maybe they pay you prefer over others maybe they pay you prefer over others maybe they pay you more they stick around longer well can more they stick around longer well can more they stick around longer well can you build a model that predicts which of you build a model that predicts which of you build a model that predicts which of your big group of leads look more like your big group of leads look more like your big group of leads look more like those and focus your efforts that way those and focus your efforts that way those and focus your efforts that way can you predict and prevent turn based can you predict and prevent turn based can you predict and prevent turn based on user action can you predict and on user action can you predict and on user action can you predict and improve you know what is your freed paid improve you know what is your freed paid improve you know what is your freed paid the conversion Based on clickstream data

the conversion Based on clickstream data the conversion Based on clickstream data can you uh predict what is the most can you uh predict what is the most can you uh predict what is the most likely upsell opportunities among your likely upsell opportunities among your likely upsell opportunities among your existing customers there's a lot of existing customers there's a lot of existing customers there's a lot of stuff where basically what you're doing stuff where basically what you're doing stuff where basically what you're doing is um there's some hidden information is um there's some hidden information is um there's some hidden information that if you somebody would just tell you that if you somebody would just tell you that if you somebody would just tell you your life would be much easier well with your life would be much easier well with your life would be much easier well with chat GPT and this Advanced Data model chat GPT and this Advanced Data model chat GPT and this Advanced Data model you can basically build a model that you can basically build a model that you can basically build a model that predicts that hidden data so in the T of predicts that hidden data so in the T of predicts that hidden data so in the T of just being able to say what's what's just being able to say what's what's just being able to say what's what's wrong here I'm just I don't know how wrong here I'm just I don't know how wrong here I'm just I don't know how much time we have for this but like much time we have for this but like much time we have for this but like another example of this is pricing another example of this is pricing another example of this is pricing Consultants right so pricing Consultants Consultants right so pricing Consultants Consultants right so pricing Consultants are people that go in and they help you are people that go in and they help you are people that go in and they help you figure out how to make the most of your figure out how to make the most of your figure out how to make the most of your money and they're really expensive like money and they're really expensive like money and they're really expensive like our mutual friend um what's his name our mutual friend um what's his name our mutual friend um what's his name profit F guy who sold his business for profit F guy who sold his business for profit F guy who sold his business for 200 million yeah Patrick Campbell that's 200 million yeah Patrick Campbell that's 200 million yeah Patrick Campbell that's pretty much what he did like that's why pretty much what he did like that's why pretty much what he did like that's why he sold for $200 million because he was he sold for $200 million because he was he sold for $200 million because he was charging like $150,000 per pricing charging like $150,000 per pricing charging like $150,000 per pricing consultant engagement but it's very consultant engagement but it's very consultant engagement but it's very variable right it's very valuable like variable right it's very valuable like variable right it's very valuable like if you nail the pricing you know that's if you nail the pricing you know that's if you nail the pricing you know that's the difference between potentially the difference between potentially the difference between potentially retiring as a multimillionaire or having retiring as a multimillionaire or having retiring as a multimillionaire or having to get a job with Google again right and to get a job with Google again right and to get a job with Google again right and it instantly made me wonder huh I wonder it instantly made me wonder huh I wonder it instantly made me wonder huh I wonder if chat BT could do this now the problem if chat BT could do this now the problem if chat BT could do this now the problem is I don't know anything at all about is I don't know anything at all about is I don't know anything at all about you know what a pricing consultant even you know what a pricing consultant even you know what a pricing consultant even really does so then I just started really does so then I just started really does so then I just started talking to it all right so I was like talking to it all right so I was like talking to it all right so I was like let's do this your highly paid pricing let's do this your highly paid pricing let's do this your highly paid pricing consultant focused on SAS educate me on consultant focused on SAS educate me on consultant focused on SAS educate me on the demand curve and then I get some the demand curve and then I get some the demand curve and then I get some stuff like clearly like I did this stuff like clearly like I did this stuff like clearly like I did this before okay certainly the demand graph before okay certainly the demand graph before okay certainly the demand graph is a graphical representation of the is a graphical representation of the is a graphical representation of the relationship between the price of a good relationship between the price of a good relationship between the price of a good good or service and the quantity good or service and the quantity good or service and the quantity demanded blah blah blah in the context demanded blah blah blah in the context demanded blah blah blah in the context of SAS the demand curve can help you

of SAS the demand curve can help you of SAS the demand curve can help you understand how changes in price might understand how changes in price might understand how changes in price might impact the number of subscribers when impact the number of subscribers when impact the number of subscribers when you plot the price blah blah blah it you plot the price blah blah blah it you plot the price blah blah blah it goes through right and then it says here goes through right and then it says here goes through right and then it says here are some of the concepts that you may are some of the concepts that you may are some of the concepts that you may want to know luckily for you guys you'll want to know luckily for you guys you'll want to know luckily for you guys you'll get these slides so you don't have to get these slides so you don't have to get these slides so you don't have to read it all now but it goes into read it all now but it goes into read it all now but it goes into Concepts like elasticity of demand which Concepts like elasticity of demand which Concepts like elasticity of demand which is like how sensitive is the uh customer is like how sensitive is the uh customer is like how sensitive is the uh customer to price shifts in the demand curve due to price shifts in the demand curve due to price shifts in the demand curve due to various external factors determinance to various external factors determinance to various external factors determinance of demand prices rated Goods taste of demand prices rated Goods taste of demand prices rated Goods taste experience expectations number of experience expectations number of experience expectations number of potential consumers all that stuff for potential consumers all that stuff for potential consumers all that stuff for SAS companies understanding their demand SAS companies understanding their demand SAS companies understanding their demand curve is crucial it helps pricing curve is crucial it helps pricing curve is crucial it helps pricing decisions forecasting strategizing for decisions forecasting strategizing for decisions forecasting strategizing for example if SAS company knows a is example if SAS company knows a is example if SAS company knows a is elastic it might consider low prices to elastic it might consider low prices to elastic it might consider low prices to significantly incing prices would you significantly incing prices would you significantly incing prices would you like visual representation and I was like visual representation and I was like visual representation and I was like yes I would like a visual like yes I would like a visual like yes I would like a visual representation so I click the button and representation so I click the button and representation so I click the button and it just tells you here are the various it just tells you here are the various it just tells you here are the various I'm going to skip across this guy here I'm going to skip across this guy here I'm going to skip across this guy here are the various kinds of demand curves are the various kinds of demand curves are the various kinds of demand curves along with corresponding Revenue curves along with corresponding Revenue curves along with corresponding Revenue curves linear exponential parabolic logarithmic linear exponential parabolic logarithmic linear exponential parabolic logarithmic they basically look like this now if they basically look like this now if they basically look like this now if Patrick like this graph here was like Patrick like this graph here was like Patrick like this graph here was like the money shot in any report that came the money shot in any report that came the money shot in any report that came from Patrick's firm like you paid from Patrick's firm like you paid from Patrick's firm like you paid $100,000 you were getting this kind of $100,000 you were getting this kind of $100,000 you were getting this kind of thing and it basically shows thing and it basically shows thing and it basically shows here's the um let me get make sure I get here's the um let me get make sure I get here's the um let me get make sure I get this right the demand curve is the blue this right the demand curve is the blue this right the demand curve is the blue one it goes down um and then the price one it goes down um and then the price one it goes down um and then the price goes up and then the red one is the uh goes up and then the red one is the uh goes up and then the red one is the uh is the um um the red one is the what are is the um um the red one is the what are is the um um the red one is the what are you here Revenue curve so you end up in you here Revenue curve so you end up in you here Revenue curve so you end up in a scenario where like how do you Max a scenario where like how do you Max a scenario where like how do you Max where do you maximize revenue for this where do you maximize revenue for this where do you maximize revenue for this friend well the right price is 50 right friend well the right price is 50 right friend well the right price is 50 right it's a pretty linear the intersection

it's a pretty linear the intersection it's a pretty linear the intersection here the curve the red curve is the here the curve the red curve is the here the curve the red curve is the highest okay like I said I didn't know highest okay like I said I didn't know highest okay like I said I didn't know very much about pricing consultant but very much about pricing consultant but very much about pricing consultant but even I can figure that out the best even I can figure that out the best even I can figure that out the best price for this kind if you if this was price for this kind if you if this was price for this kind if you if this was exactly what your demand looked like the exactly what your demand looked like the exactly what your demand looked like the price the right correct price is 50 to price the right correct price is 50 to price the right correct price is 50 to maximize revenue and then you have maximize revenue and then you have maximize revenue and then you have different ones like here's an different ones like here's an different ones like here's an exponential decay one where basically it exponential decay one where basically it exponential decay one where basically it falls off much faster in that case the falls off much faster in that case the falls off much faster in that case the right the right one is is 20 bucks um right the right one is is 20 bucks um right the right one is is 20 bucks um you come along because the top of the you come along because the top of the you come along because the top of the curve is here is now on this one and curve is here is now on this one and curve is here is now on this one and then there's different demand curves of then there's different demand curves of then there's different demand curves of different ones again now I'm being different ones again now I'm being different ones again now I'm being educated about pricing Consulting right educated about pricing Consulting right educated about pricing Consulting right I'm looking at different demand curves I'm looking at different demand curves I'm looking at different demand curves and you might again think to yourself and you might again think to yourself and you might again think to yourself that's great but that's still how many that's great but that's still how many that's great but that's still how many steps is that away from um you know how steps is that away from um you know how steps is that away from um you know how many steps is that away from actually many steps is that away from actually many steps is that away from actually doing anything with my data and my doing anything with my data and my doing anything with my data and my customers like don't I still need a customers like don't I still need a customers like don't I still need a consultant for this like yes I've consultant for this like yes I've consultant for this like yes I've learned some stuff but like this feel learned some stuff but like this feel learned some stuff but like this feel still feels like there's like a still feels like there's like a still feels like there's like a gazillion different steps before uh I gazillion different steps before uh I gazillion different steps before uh I actually uh get any useful data and the actually uh get any useful data and the actually uh get any useful data and the answer is kind of and so instead I said answer is kind of and so instead I said answer is kind of and so instead I said hey can you generate me a template hey can you generate me a template hey can you generate me a template spreadsheet with real data that would spreadsheet with real data that would spreadsheet with real data that would need to be collected in order to perform need to be collected in order to perform need to be collected in order to perform this analysis on an actual business this analysis on an actual business this analysis on an actual business please indicate how many samples you please indicate how many samples you please indicate how many samples you need certainly like I said it comes need certainly like I said it comes need certainly like I said it comes along to perform this kind of analysis along to perform this kind of analysis along to perform this kind of analysis we need to this it is price point number we need to this it is price point number we need to this it is price point number of units solds total revenue date time of units solds total revenue date time of units solds total revenue date time period other relevant data all of a period other relevant data all of a period other relevant data all of a sudden for me this is like this is an sudden for me this is like this is an sudden for me this is like this is an achievable thing right now I have a in achievable thing right now I have a in achievable thing right now I have a in by the way here's the spreadsheet with a

by the way here's the spreadsheet with a by the way here's the spreadsheet with a template that I'm going to need to do template that I'm going to need to do template that I'm going to need to do analysis on your specific data all of a analysis on your specific data all of a analysis on your specific data all of a sudden now I've gone from do I spend sudden now I've gone from do I spend sudden now I've gone from do I spend $125,000 to Patrick $125,000 to Patrick $125,000 to Patrick Campbell or do I figure out how to fill Campbell or do I figure out how to fill Campbell or do I figure out how to fill out this spreadsheet and then F feed it out this spreadsheet and then F feed it out this spreadsheet and then F feed it back to chat GPT you know I think at back to chat GPT you know I think at back to chat GPT you know I think at least initially I'm going to save least initially I'm going to save least initially I'm going to save Porsche's worth of money and just fill Porsche's worth of money and just fill Porsche's worth of money and just fill in this spreadsheet that's going to be in this spreadsheet that's going to be in this spreadsheet that's going to be my okay okay I wonder if there are any questions is it safe to upload all your questions is it safe to upload all your sensitive data to JB especially when sensitive data to JB especially when sensitive data to JB especially when you're uploading files so that's a good you're uploading files so that's a good you're uploading files so that's a good question it's quite com it's quite a question it's quite com it's quite a question it's quite com it's quite a common question the way that I think common question the way that I think common question the way that I think about it is as follows you're doing this about it is as follows you're doing this about it is as follows you're doing this all day any day anyway like you're all day any day anyway like you're all day any day anyway like you're you're taking sensitive data and storing you're taking sensitive data and storing you're taking sensitive data and storing giving it to third parties which have giving it to third parties which have giving it to third parties which have computers on the internet all the time computers on the internet all the time computers on the internet all the time it may feel different because you sort it may feel different because you sort it may feel different because you sort of feel like there's some sort of an of feel like there's some sort of an of feel like there's some sort of an intelligence that understands your data intelligence that understands your data intelligence that understands your data and like feels like it's more like and like feels like it's more like and like feels like it's more like giving it to this other person but giving it to this other person but giving it to this other person but conceptually it's no different giving conceptually it's no different giving conceptually it's no different giving data to chat GPT than it is to giving it data to chat GPT than it is to giving it data to chat GPT than it is to giving it to S3 or Amazon S3 and you know you can to S3 or Amazon S3 and you know you can to S3 or Amazon S3 and you know you can even just straight with the API and even just straight with the API and even just straight with the API and stuff you can say Okay opt out a stuff you can say Okay opt out a stuff you can say Okay opt out a training data which is you know using training data which is you know using training data which is you know using your data for training which is probably your data for training which is probably your data for training which is probably the only way I think that data can leak the only way I think that data can leak the only way I think that data can leak out but equally like you can go instead

out but equally like you can go instead out but equally like you can go instead of going on uh just chat GPT if you go of going on uh just chat GPT if you go of going on uh just chat GPT if you go on Azure you can have like the on Azure you can have like the on Azure you can have like the Enterprise version of chat GPT which can Enterprise version of chat GPT which can Enterprise version of chat GPT which can be like Hipp compliant sock compliant be like Hipp compliant sock compliant be like Hipp compliant sock compliant whatever ISO number makes you you know whatever ISO number makes you you know whatever ISO number makes you you know happy um so so actually no I don't think happy um so so actually no I don't think happy um so so actually no I don't think I understand the question and like it it I understand the question and like it it I understand the question and like it it it I get it often but it I get it often but it I get it often but realistically you're giving data to a realistically you're giving data to a realistically you're giving data to a third party with computers on the third party with computers on the third party with computers on the internet that's been going on for at internet that's been going on for at internet that's been going on for at least 25 years so no I wouldn't be too least 25 years so no I wouldn't be too least 25 years so no I wouldn't be too worried hi uh thank you very much for worried hi uh thank you very much for worried hi uh thank you very much for that talk it was really AES awesome that talk it was really AES awesome that talk it was really AES awesome thank you I want to know with this model thank you I want to know with this model thank you I want to know with this model that you created did you actually use it that you created did you actually use it that you created did you actually use it and has it been successful so yes I am and has it been successful so yes I am and has it been successful so yes I am using it at the moment and basically it using it at the moment and basically it using it at the moment and basically it allows me to prioritize like I said we allows me to prioritize like I said we allows me to prioritize like I said we have these 40,000 models and right now I have these 40,000 models and right now I have these 40,000 models and right now I I I haven't bought enough credits I I haven't bought enough credits I I haven't bought enough credits unbuilt with yet to to fill out more so unbuilt with yet to to fill out more so unbuilt with yet to to fill out more so we ran it on about 5,000 of them but we ran it on about 5,000 of them but we ran it on about 5,000 of them but yeah I'm using it and actually one of yeah I'm using it and actually one of yeah I'm using it and actually one of the things that the key thing really for the things that the key thing really for the things that the key thing really for this kind of problem is you got to this kind of problem is you got to this kind of problem is you got to figure out where examples are sort of figure out where examples are sort of figure out where examples are sort of and so I for example had like 200 and so I for example had like 200 and so I for example had like 200 companies where I happen to know the Mr companies where I happen to know the Mr companies where I happen to know the Mr you guys probably have like customers you guys probably have like customers you guys probably have like customers where you know how much they're spending where you know how much they're spending where you know how much they're spending and so you can use that kind of data and so you can use that kind of data and so you can use that kind of data another data point that someone pointed another data point that someone pointed another data point that someone pointed out was in the US there was the PPP out was in the US there was the PPP out was in the US there was the PPP loans during covid which actually tells loans during covid which actually tells loans during covid which actually tells you how much like uh what the company you how much like uh what the company you how much like uh what the company was and how much money they got which was and how much money they got which was and how much money they got which basically correlates to two and a half basically correlates to two and a half basically correlates to two and a half months worth of salary so then you can months worth of salary so then you can months worth of salary so then you can estimate how big they are right so estimate how big they are right so estimate how big they are right so that's training data that you happen to

that's training data that you happen to that's training data that you happen to know this now you can build a predictor know this now you can build a predictor know this now you can build a predictor that predicts okay how how many that predicts okay how how many that predicts okay how how many employees does this company have um employees does this company have um employees does this company have um basically I have a question for you oh basically I have a question for you oh basically I have a question for you oh all right so well let's say that I'm all right so well let's say that I'm all right so well let's say that I'm running a SAS company and I have 500 running a SAS company and I have 500 running a SAS company and I have 500 customers and I want to find more like customers and I want to find more like customers and I want to find more like them do you feel like the same model them do you feel like the same model them do you feel like the same model like I would go because it's most of the like I would go because it's most of the like I would go because it's most of the audience here is in that space right audience here is in that space right audience here is in that space right that that going to built with and trying that that going to built with and trying that that going to built with and trying to match up maybe not all 500 of my to match up maybe not all 500 of my to match up maybe not all 500 of my customers but my 200 best customers or customers but my 200 best customers or customers but my 200 best customers or something like that right and trying to something like that right and trying to something like that right and trying to feed it into chat GPT and saying what feed it into chat GPT and saying what feed it into chat GPT and saying what technologies are they using is is that technologies are they using is is that technologies are they using is is that how you would think about it in terms of how you would think about it in terms of how you would think about it in terms of you would talk I would just start you would talk I would just start you would talk I would just start talking to chat gbt about it I would talking to chat gbt about it I would talking to chat gbt about it I would just be like hey and specifically the just be like hey and specifically the just be like hey and specifically the Advanced Data analysis I'd be like hey Advanced Data analysis I'd be like hey Advanced Data analysis I'd be like hey this is the data that I have hey this is this is the data that I have hey this is this is the data that I have hey this is the problem that I'm looking for like in the problem that I'm looking for like in the problem that I'm looking for like in that particular case you sort of need that particular case you sort of need that particular case you sort of need the positive and the negative you know the positive and the negative you know the positive and the negative you know like you need here are like 200 good like you need here are like 200 good like you need here are like 200 good customers here are 200 bad customers um customers here are 200 bad customers um customers here are 200 bad customers um and then it doesn't have to be built and then it doesn't have to be built and then it doesn't have to be built with it could really be anything like as with it could really be anything like as with it could really be anything like as long as it's publicly available data long as it's publicly available data long as it's publicly available data that you think in the larger scheme of that you think in the larger scheme of that you think in the larger scheme of things you'll be able to find for other things you'll be able to find for other things you'll be able to find for other prospects but built with is a good prospects but built with is a good prospects but built with is a good example um you would just basically tell example um you would just basically tell example um you would just basically tell it that like yeah this is the this is it that like yeah this is the this is it that like yeah this is the this is this is the class that I'm looking for this is the class that I'm looking for this is the class that I'm looking for this is the class that I want to avoid this is the class that I want to avoid this is the class that I want to avoid here's the data I have across the two here's the data I have across the two here's the data I have across the two can you build me a classifier then yeah can you build me a classifier then yeah can you build me a classifier then yeah I would do that so I'm just curious is I would do that so I'm just curious is I would do that so I'm just curious is there any like best practice that we there any like best practice that we there any like best practice that we should all be doing now to create the

should all be doing now to create the should all be doing now to create the data that we can then later analyze like data that we can then later analyze like data that we can then later analyze like should we be writing every event to Red should we be writing every event to Red should we be writing every event to Red shift or whatever a system like it do shift or whatever a system like it do shift or whatever a system like it do you have any recommendations on that you have any recommendations on that you have any recommendations on that front it's a good question um I mean the front it's a good question um I mean the front it's a good question um I mean the answer is if you really optimize for answer is if you really optimize for answer is if you really optimize for this is yes I mean there's a reason why this is yes I mean there's a reason why this is yes I mean there's a reason why like you know the bi tools and the the like you know the bi tools and the the like you know the bi tools and the the the big companies that have you know the big companies that have you know the big companies that have you know teams of 20 uh doing this stuff full teams of 20 uh doing this stuff full teams of 20 uh doing this stuff full time why they use like data lakes and time why they use like data lakes and time why they use like data lakes and red shift and all this stuff and and red shift and all this stuff and and red shift and all this stuff and and that's effectively the approach like that's effectively the approach like that's effectively the approach like they just just sort of record everything they just just sort of record everything they just just sort of record everything and because later maybe you know that'll and because later maybe you know that'll and because later maybe you know that'll that'll be useful um I think in general that'll be useful um I think in general that'll be useful um I think in general if there isn't a giant amount of if there isn't a giant amount of if there isn't a giant amount of overhead then yeah I would I would just overhead then yeah I would I would just overhead then yeah I would I would just start recording a lot more data um and start recording a lot more data um and start recording a lot more data um and just like having available but that just like having available but that just like having available but that being said honestly I think most of the being said honestly I think most of the being said honestly I think most of the time like um most of the time time like um most of the time time like um most of the time particularly like in terms of finding particularly like in terms of finding particularly like in terms of finding leads like what you want to build a leads like what you want to build a leads like what you want to build a model on is not necessarily the stuff model on is not necessarily the stuff model on is not necessarily the stuff that's just internal to you you want to that's just internal to you you want to that's just internal to you you want to build a model and stuff that you can use build a model and stuff that you can use build a model and stuff that you can use on C people that aren't customers yet so on C people that aren't customers yet so on C people that aren't customers yet so there are things that are public data there are things that are public data there are things that are public data that you can find right because you want that you can find right because you want that you can find right because you want to build the reason why like you use an to build the reason why like you use an to build the reason why like you use an internal data set first is because you internal data set first is because you internal data set first is because you know the answer like it's like a cheat know the answer like it's like a cheat know the answer like it's like a cheat sheet like oh this is a bad customer sheet like oh this is a bad customer sheet like oh this is a bad customer this is a good customer the question is this is a good customer the question is this is a good customer the question is can you go from that sort of knowledge can you go from that sort of knowledge can you go from that sort of knowledge and build a model that uses you know and build a model that uses you know and build a model that uses you know publicly quote unquote unrelated data in publicly quote unquote unrelated data in publicly quote unquote unrelated data in order to predict whether they're going order to predict whether they're going order to predict whether they're going to be a good or a bad customer or to be a good or a bad customer or to be a good or a bad customer or whatever it is you're looking to predict whatever it is you're looking to predict whatever it is you're looking to predict amazing let's give a big round of

amazing let's give a big round of amazing let's give a big round of Applause to Mr Applause to Mr Applause to Mr Anar