 The students, this module is a continuation of the prior modules about link shortening. And what I will tell you in this module is that console, which you will use to do the analysis of whatever happening about the clicks with reference to your link shortening. And I will also show you how you can use those link shortening for aliasing, for creating aliases, right, aliases which will help you more understand the clicks happening on the keywords. So let's go into more details. So in this module, talk about your links or my links and analysis parts, tools and admin part with the admin part, you can put the tags also, which are very useful for analysis and for search. So before I go into more detail, I will give you a very short example of giving alias. So I have this alias over here. So this awesome over here, don't mind the spelling, and this data to be a this over all of these are pointing to this address. So the point over here is that you can have over here wonderful keywords over here. You can have wonderful keywords over here, which have quite a value over the net, okay, which which come up while searching. And with this, they are pointing to the same thing. That that is the beauty of a trial of them. Okay, now this is my console, in which I have number of links over here. Those links are listed over here. Links are listed over here. Okay, then over here is the number of clicks over here, the number of clicks. This is not a hashtag number of clicks over here. And tags were not identified over here. So I can do all the analysis using I can do the edit also look at the statistics also. So let's look at the next screen. So I select one of that link and this link actually corresponds to this lot of this is very texty. Okay, I have this link shortened over here. And it gives me the traffic over here in the last 24 hours, seven days, 30 days and so on, total traffic over here. So I can do this link by link. This is for my links. Now this is the daily analytical clicks over here is the clicks. Okay, number of clicks, number of clicks over here. And you can see over here that over here, the clicks have peaked over here. And the peaks are not in these regions, maybe because of the marketing campaign over something which resulted or something else. And this is the total number of clicks over here, which I have not shown. And the traffic is mobile traffic 58% desktop traffic. So I get a fair amount of idea where my customers are, where they're coming from. Now this is the hourly for the all the links hourly clicks, this is number of clicks over here, number of clicks. And something which is interesting that 2pm the number of clicks are zero. Okay, at zero, maybe because the lunch break at this time, there's zero, maybe because of travel. But at this time, which is 11pm is a high. So this is at the time in which my customers are looking at my website, looking at the links, and where my customers are, look at the locations. So this is the higher percentage, this higher percentage you can see over there. And this five percentage correspond to this area correspond to this is the United States. And which are the top 10 cities, you can see the top 10 cities over here. This is Los Angeles over here, Los Angeles over here. And the top 10 regions, California State. So I get all the statics where my customers are when they are visiting my website, and how they're clicking when they're clicking and what time of the day. And I can embed that into the Chrome extension in the Firefox browser extension. And finally, I can put the tags over here, data analytics tag, data mining tag, science tag, warehouse tag. So I can do a lot of wonderful things with link shortening. And this is all I have for you in this module. Thank you very much.