00:00 Today's show is going to be a little bit different. We're not talking about photography and video specifically. We're talking about web and data analytics for Instagram, which is where I put my photos. So it's kind of related.
00:22 When it comes to Instagram, I think it's pretty well universally understood that hashtags can be a good thing and I'm actually really bad at Instagram. Let's just put that out there first. If you're watching this looking for great tips on how I made my Instagram channel huge, you know, look, I've not even got 5,000 subs on mine or followers or whatever. Um, I'm not very good at it and I'm trying to get better. And part of the process is trying to get better is trying to use hashtags more judiciously, more correctly, shall we say. And in doing that research, I came across a bunch of really interesting data that I wanted to parse and figure out how to Mitt, how to best use for my particular channel and channel size. And that is what I'm going to be sharing with you today. I'm going to share with you, it's kind of a multiple step process.
01:05 I'm going to be sharing with you what I found, what I learned and then the big step is how I took that knowledge and how I took the data from that and turn that into something that I could action on for my Instagram account. Now, I've just started doing this so I don't know if this is actually going to be effective or not, but even if you're not using Instagram, I think that a lot of the things that I'm going to show you today in regards to data scraping off of the web, analyzing that data, cleaning up that data. That's kind of a big part of this too. It could potentially be useful. It doesn't, again, doesn't matter if you're using this for Instagram or for anything else, if you are kind of a data geek at all, this is probably going to be interesting to you.
01:42 Now for some you you, this might be old news. You've done this stuff before. Clearly this is not my job. I am not a professional data wrangler analyst type of a person, but I appreciate the data. I appreciate the kind of geekiness that goes into it. Um, and I'm the kind of person that will spend an hour figuring out how to save a minute. Does that make sense? Like I'm like, you know, there's a better way to do this and I will spend all this time figuring out a better way to do this when I could've just spent a minute or two cleaning up, but I'll do it. That's just me. What can I say? Hopefully down the long, long run, it ends up saving time, but um anyway, that is what it is. Okay, so let's get into the meat of this. So here's, here's what was going on.
02:19 So again, I'm looking for a way to improve my Instagram channel and get more traction on there and I'm doing a little research and trying to find hashtags and good hashtags. And I find this website, which I'll show you in a moment here that talks about, or the has a list of Hashtags, kind of most popular hashtags or best hashtags you use for a group of photography category. So let's actually start with that. Let's take a look at that webpage real quick. And that is this page here. It's https://trovatten.com/instagram/hashtags/ of course, I'll link to everything that we're talking about today will be linked down below. And in here it has this photographer's guide to marketing. So this is specifically for photographers and here's Instagram hashtags for photographers. And there's 17 different categories in here, including things like street and candidate photography, wedding photography, black and white, and so on and so on and so on.
03:04 And if you click on any one of these, it will give you a bunch of different hashtags. Like this one's got separated groups. Here's some for candid photography. And um, let's see here. Oh, here's one up here for street photography is kind of separates those two out a little bit. And then down here it talks about hashtags that are connected to accounts. So you know how some accounts will share your photos, they'll say, uh, tag your photo with this for an opportunity for a chance to be shared on our channel. Or those kind of hashtags are in here too. Okay, so this is, this is good, right? Good. Got a bunch of Nice hashtags in here. There's a lot of them, more than you can probably use in most of these categories. In any one post Instagram, you're limited to 30 hashtags for the posts.
03:44 You can put more in the comments, but in general it's 30 per post that's your maximum. But it's more than just grabbing all these hashtags and copy and pasting 'em in. And it tells you on here, if you really want to do this right, you need to understand how to use hashtags. And this is something that I learned from this webpage. And they're saying on there, their advice is that you, you only, you only use hashtags that have around a thousand times as many photos attached to that Hashtag is you normally get likes on your pictures. Right? So follow this. If I on average get a hundred likes per photo, then I should be targeting hashtags that have a thousand times that many posts on them. So 100,000 posts, that's the target range. And the reason for that is if I am posting on, let's say I get a hundred likes per photo and I hashtag it with some National Geographic Hashtag, which for which of the account for that Hashtag has like millions, millions, millions of pictures, there is pretty much no way that my photo is going to show up in anybody's feed.
04:42 If they're following that Hashtag is, you know, you can follow hashtags on Instagram now, um, pretty much no way it's going to show up in there pretty much no way. It's going to show up in the top nine of that Hashtag. So it's kind of pointless. So what you really want to do to have actual odds of getting your stuff shown is to target that 1000 times the number that, that's the advice on this webpage. Okay. So that's kind of good. So I look at my history and and on average, on average I would say kind of on the, I'm the most normalized and I probably get about a hundred likes on a picture. So I told you not you, not, not very many, right? And I'm on the higher end, I get maybe like 400 likes. So a hundred to 400 let's call that my, my range.
05:16 So 100,000 to 400,000 photos on a Hashtag is my range. That's what I'm, that's what I'm going for. Okay, so that, that's good to know. So how am I going to find out what those are? Because there's a lot of hashtags here and this is where we get into the, the hard part here, right? There are actually a, I think it was over 700 hashtags on here between all these posts. So clearly what I don't want to do is do this manually. But that is where this starts. I need to show you how to do this manually to begin with. So here's what I'm going to do. Let's just go to the first Hashtag on here. So street photography underscore black and white. Okay, cool. So I'm gonna grab that. There's copy of that to clipboard. And then how do I get to the Hashtag URL?
05:56 Well, if I go to any posts, there's just go to one of my posts on here. This is from this morning. I click on any one of the hashtags in here and it is going to show me there's the Hashtag and it says 96,689 posts. So that's for me, that's a good one, right? That is actually a little bit on the lower end of what I'd be looking for under a hundred thousand. Um, so my odds are reasonably good that my future, my picture would get a featured if I use this. Okay, that's cool. So great. That's good to know. Okay, so now that I've got this data, what am I going to do with it? Well, clearly what I really need to do is start sorting this out in a spreadsheet, right? I gotta build a spreadsheet with the Hashtag and the number of posts on that Hashtag for over 700 hashtags.
06:40 Ooh, that's going to get tough. So bear with me here. This is the results of this one particular Hashtag. Here's the URL, Instagram, instagram.com/explorer/tag/ in this case, lakeofthewoods. I'm going to hit paste. I got that street photography one on my clipboard. Drop that in. And this one has 1,160,714 posts. So that clearly is way beyond my scope. I should not be posting into there, but this is what I've got to find out. 700 stinkin times don't want to do with the manual. So I start digging into this. How can I automate this process? And I'm looking at, um, I'm going to do this into a spreadsheet. So I figure maybe there's a way for a spreadsheet to get data from a URL, from a website. And I'm doing some research on that and I find that that Microsoft, Microsoft excel can do it, but I'm, I download it and I just, I can't figure it out.
07:30 It's like it's just this weird kind of table data. I think it's really designed to pull data out of tables. This is not a table, so that's not probably going to work. Should I keep digging, keep digging, keep digging. And I find this website is super, super interesting to me. This website here called import.io. Import.io is all about extracting data from web pages from pretty much anything. If you're looking at their samples, they show you as an example, extracting prices from an Amazon page. So let's say that you were building a website where you wanted to build a comparison shopping and you wanted to show the prices from Amazon and BNH and et around and you want to show them all side by side. You could use this service to extract that data from those websites and then compile it into your website. Pretty cool, right?
08:14 So they have that service at like a, a full on probably really expensive service level. If you look at their pricing here on the free version, which is what I'm using is pretty basic, but it does allow a thousand URL queries per month. So that's going to be plenty for what I'm doing. But the next two tiers that just say context sales, I don't even have a price on them. So I, you know, big company stuff, but the free version is plenty for me. Okay, cool. So I do a little digging into how this works and we'll figure it out. And that's what I'm gonna I want to show you next. So, um, I'm going to see here, let's create a, I must have closed up at tab. What's creating new one? Go to import.io and go to the dashboard. If it's, it doesn't take me there right away.
08:54 Can we go, go to the dashboard? And I've already, I've already done 783 queries, so we're not going to do a whole lot today or I'll hit my thousand Max. And you go into these things called extractors. And I'm just going to build a new one. I'm going to create this from scratch. I click on new extractor and I'm going to drop in a URL here. Oh it's here. I'm going to use this one here for the street photography, black and white copy of that to the clipboard, back to this and paste that in and hit go. And you can see here what it says it's doing. It is loading. The webpages is attempting to automatically extract data from the web page. And it says here, if you don't like what they come up with, you can manually go in there and Parse it out.
09:29 Um, but fortunately it's actually going to work automatically, which is great. And we'll take a few minutes and at some point it actually says if this is taking too long, you can stop it and do it manually. I don't know if it would work if I do it manually, so I'm not going to do that and I'm just gonna let it go in a moment here. It'll be set and I will be able to grab it, the data that I need. Okay, so this is starting to get interesting, right? There's like this ability on this website to extract data from any other webpage. Ooh, is this, Ooh, it's kind of interesting, right? We have to do this 700 times, but we're getting somewhere. All right there. It looks like it's finished up here. It's told me that it's found a pop up column. I think it's probably just a login page.
10:08 Just get rid of that and it also gives me this error, which I don't understand cause it actually does work, but whatever. As I roll my mouse over this, you'll see everything highlighted this data that it could extract so I could even extract like the top post every time if I wanted to, but what I want is this number right there and you can see how that highlights nicely as I roll over it. Boom. That's the number that I want. So I click on that and it adds it to this column. There we go. There's that number showing up in the column. And I'm just going to call this column posts cause that's what it is. It's how many posts it is. Okay. So that's, that's that. Um, great. Now what? Now there's a big button here. This is extract data from website. Okay, we'll click that and see what happens.
10:43 And choose a name. Um, Instagram.com, let's call this “show” here. And uh, yeah, just run it. And so it was going to note, run this data, run this analysis. It's going to parse the data and hopefully create a spreadsheet using that data. And I'll keep in mind we've only got one website in there, but this is how we're starting. This is my process, how we started this. I kind of figured this out. This is what it does. And then I go, okay, well it's done this, how do we take this to the next level? But here we go. It's a, it's almost finished. Or you see it's not instant. You know, it takes a few seconds to do and if you have a larger one, it can take several minutes to run. But it will do. It'll estimate the time remaining. Here we go, one URL, one success is zero fail.
11:20 That's excellent. And over here's a little download button. All right, we'll click on download CSV. That works for me and let's just open that up and let's see what kind of data we got. All right, so here's what we have, the URL that I gave it and the number of posts. Superb. Okay, well this is, this is getting somewhere. So now I just need to repeat this a whole ton of times. Well obviously this is what this thing is designed for. So let's go ahead and close that guy. Go back into here and if I look at the settings for this Instagram thing, there is the ability to add paste in new your ELLs here so I can in here and just paste in all the URLs that I want to follow. Okay, great. So now I've got a page full of hashtags. I'm going to have to convert those all into URLs and then paste them in here.
12:07 All right, time to do a little bit of search and replace, kind of clean up magic. If you will. So this is where we get into the kind of the Geeky text replacement stuff that I just, I dunno for some reason this stuff makes me happy. Okay, let's go into here and we're going to go back to this page. I'm going to start with this first chunk of your have a Hashtag. So I'm going to copy that to the clipboard. I'm going to launch BBEdit, which is just an awesome clean text editor. Paste those in and you can see they've all got spaces between them and there's hashtags in front of each of them. Okay. Pretty straight forward, right? I'm going to replace each Hashtag with the first part of the URL. I need these all to be on a different line. So I'm going to replace the space with a carriage return on what the command is for carriage returns.
12:45 So how do I find that out? I'll go in here and I'm just going to go to the end of this and hit return and I'm going to go and copy that. So I've selected the return there. Hit copy a do a find on here and find a going to replace a space. I just hit the space on the space bar with an I paste and it's forward-slash N. Okay, let's remember that. Forward slash N does that. Let's do a quick replace all and boom. Perfect. Look at that. That's the first step done. Now I know because I'm doing this too. What? 17 pages of this. I'm gonna have a lot of this to do and this is only part of this page. I'm going to need that command again, so in BBEdit. You can save these replacement scripts now I've already deleted all of mine so that I could create new ones for you and it's pretty easy to do.
13:24 We just go in here so it's already got find space replaced with a return. I go to the little g menu and here the Grep Menu. Save that and we will give it a name. We'll say replace space with return and add that to it and that adds it to my list down there. Now just because I'm going to be super geeky about it. I'm going to say manage patterns. Move this to the top, and because I don't know what all this other stuff is, but I might want it one day. I'm going to add a new pattern that's not actually anything. It's just a kind of a line break in here. Just a visual reference because I'm like that. Okay, so now I've got that one in the replay space with returning. The next one that I needed to do is replace the Hashtag with the URL.
14:02 However, I have a lot more hashtags here to go through first. So let's, let's finish cleaning this up. Let's grab these copy of those and put that in here. So paste those in, right? So find it's already got that in there. Replaced with return. Good. Next go down here. Now here's a bunch where he gets a little bit more complicated because I haven't here hashtags. But then there's other words. There's an, and there's this dash and there's the, you have the at, what do you call it? The, um, the at handle in there. So I gotta clean that up. Oh Man. All right, well let's just copy that to the clipboard back over here, back at the end. Let's paste that. Okay, well, um, I guess I could do the replace with the returns. So let's do that. Okay. That worked. Um, I've also, well, you know what?
14:40 This is good enough actually. I need to get rid of the ads and the dashes. Now I could do this manually and this is one of those where you go, okay, I could do it manually and would just take a minute to do very, I could probably automate this tale. And so I'm taking how do I automate this? And again, I'm going to do this 17 times at least. So that's worth kind of automating. So here's how I'm gonna automate this. I'm going to take this and there might be a better way to do this. I'm not saying this is the only way, it's just my way a select all of that copy that. Let's go over to numbers and create a new spreadsheet and just paste this into a new spreadsheet and then do a sort on that column. And there we go. Everything sorted.
15:16 Now I only want the Hashtag data, so there we go. So I got rid of all the ads, all the dashes, the ams, those are all separated. If the hashtags that I want, copy that back into here, paste that in and we're good to go. Okay, cool. So let's get rid of that extra double return and now it's time to replace the Hashtag. So find replace Hashtag with the first part of the URL, which was to go back over to here, it was instagram.com/explorer/tags we need that forward slash on there. So let's get that back over to BBEdit. Replace. Of course I would save this. I hit replace all and there we go. Ooh, look at this. We've got one mistake in here. We can see a double line on here. I think usually if you see a double line like that because it might show up elsewhere as well, it's a good idea to just undo it and make sure that your data that you're replacing is clean.
16:04 It's just my advice on that. So let's go back into here. I'm going to click on this window. Hit Undo here it was, I guess there was no space between that on the website and that's something you'll find if you're going through that website, pulling out data, you're going to find some places have double spaces, some are missing the space. You're going to have a little bit of cleanup in here, but you know the name of the game. All right, so I've got that. Let's try this again. Uh, replace all that looks better. Okay, so now I've got all these URLs. Perfect. Let's select all of that. Copy that back to, let's go back to chrome and I need this page here. I can get rid of that one. This is removed, that URL that I put in there, paste in that whole pages of them.
16:41 Hit Save for that and now it is ready to go. In fact, there's also a button empirical cleanup URLs, which I found some of these did have duplicates, so let's see if this one did 72 total and here I hit cleanup. Oh Gosh, yeah, it actually removed a bunch of them. There are a bunch of duplicates in there. Okay, good. Let's save that again. That'll speed this up and that's it. Now I just hit the run button run URLs and it is going to a going to process that, so we should see up here. Here we go. Let's start 66 to go and we'll just leave this nice and big in the corner there while we chat through the next steps. So now that I've got this data parsing through, this is going to take a few minutes, but given that there are 17 of these categories and maybe you don't do all of them, you just select the categories that you actually do photography for.
17:22 You can just move on and start the next one. This will keep processing in the background, so go ahead and go to the next page. Copier URLs, um, go into a BBEdit clean 'em up, creating new extractors. So this extractor, what I would do is I named it whatever Instagram show I would go in there, name it for that category. This was travel and something traveling tree photographer, I would name it for that. In fact, what I did on mine, if we look more closely, you'll see in here that I've numbered these sort of street and candidate. I think that's where we are. So we've got all these numbers on here. Those numbers actually correlate to where's this website, the categories on Trovatten's webpage cause I wanted to make sure that we, I could come back to these in any time. And that's part of this.
18:02 All right. That is a big part of this is knowing that we can come back and re extract the data later. This is something I need to do very often. In fact, what I would probably do is I'm going to be currently targeting that hundred thousand to 400,000 range. Once I, if I get to a point where suddenly I'm getting a lot more likes on my photos and let's just say I start getting on average, you know, 600 to a thousand likes per photos. Okay, it's time to rethink to re analyze this strategy. I could go back to the old data, but it's probably gonna make sense to run the data again. So I would go back in here, run each one of these, download the data, copy and paste it into the spreadsheet that I'm building next as the next step in here and update that data.
18:39 So you know, you only need to do this as often as you feel like your Instagram account is actually growing. Obviously if you're not watching this because the Instagram part of it and that's irrelevant, but you can run this as often as you want up to a thousand queries per month for free. Kind of cool on that. Where are we here? Um Oh, it's done. All right, so this is no finished. 66 succeeded, zero failed. Let's download this CSV file and away it goes. Open that up and there it is. Okay, let's get rid of this other one that I created earlier. Don't need that anymore. Okay, so here is the data. Now this is kind of interesting. I don't know exactly why you see others, the number here and that's it. And that's, that's actually great. That's what you want. When I did this last week, every one of those data points had the word posts after it, and I don't know what I'm doing differently now than what I was doing before.
19:26 So that meant I had to do a search and replace for the word posts to remove that just so that it had only numbers and that it's important to have only numbers that I can sort them in numbers or excel or whatever in the spreadsheet. If there's a number with another word in there, then it doesn't treat it as a number, it'll, it'll, it'll sort by the first number, not the full number. So like, um, you know, 200 would come before five, right? Yeah. That's so it doesn't make sense. You need to clean it up and turn it into actual numbers. But this case, I don't have to, but that's something I had to do before. Um, I want to make sure these are actual numbers. So I select the column, go to the cell here, data format. It is a number format. Um, I do want the thousand separator in there and now I can do a sort on here and I can say sort of sending, and I can see in fact do it the other way is do historic descending.
20:10 And the top tag on here has 17.9 million posts of clearly not for me. And if I go down to the very bottom of this, the lowest one has only 1,688 posts. So, you know, that's like promising. I could probably do something with that. Uh, let me, let's do this. Let me do it. Zoom in here. She can see the data better. Um, yeah, so you know, there's a lot of, a lot of one that I can use so I can at this point just go OK. I want between a hundred thousand and 400,000 so I can just go up here and select those. Now because I'm a geek, because I liked kind of getting into the weeds on this stuff before I pull the hashtags out. I'm going to take it one step further. Not going to color code. The numbers don't ask is just, it's just, it's just, anyway, so here's how I'm going to do that.
20:55 Uh, let's see. Let me zoom out of this a little bit and make this a little bit bigger and I want to do conditional formatting. So I select all of these in here. I go conditional highlighting and I say add a rule and I'll say between zero and 100,000. Did I do that right? 100 a thousand. There we go. Make any blue fill. Perfect. So there, those are nicely filled in blue. And then I add another rule between I going like 100,001 and 400,000 or we're going to highlight those in green and you can then copy and paste this formatting to other tables that you're going to make. What I ended up doing was creating a new sheet appears. I just created a new sheet for each one of the the hashtags. I'll show you my final results in a moment here. Um, if I remember two.
21:40 And so now I can copy paste the formatting and now I can just see at a glance, okay, these are my target ones. Um, if there's not very many of these, then maybe I want to grab some of the lower ones or whatever. I can make a decision based off of this. But at a glance, I see these are the ones that are under my target. These are in my target range. And then these are all over my target range. Okay. So good. So we're, we're, we're getting there. Now I know which hashtags to use. Well, I gotta convert these URLs back to hashtags because they're URLs, right? I, I need to have a Hashtag to copy and paste into my posts. So that's the next step. So for that we're going to use another formula instead of numbers to simply um, or use a formula inside of Numbers to simply replace the URL with the hash.
22:21 Kinda neat. So back to this, here we go. Let's create a new column in there. Let's do it this way. Create a new column in there and go to the first one and I go equals substitute. And I'm going to substitute using that source string. The existing string is going to be quote, I'm going to put two quotes in here now and I need to paste that data in, which was probably still in the clipboard, but oops, we're going to just copy it here again just in case, back into numbers. K, paste that in. So replaced that Hashtag with quotes Hashtag or Hash, whatever quote occurrence we can ignore and we hit okay. There we go. There is now it returned as a Hashtag. Perfect. And now let's just fill this data down here. Automatically fill that in and boom, there's my hashtags. Perfect. So now I have the hashtags that I want are here, Superb! Copy that I tend to go back to BBEdit at this point and paste it in just to clean it up to make sure there's no formatting.
23:17 I just want totally clean text, but those are the hashtags that are going to be my target. So now what am I going to do with that? Now it's time to start using them in Instagram and obviously repeat this 17 times or however many times you need. Okay. You can quite simply create like a notepad and paste the hashtags in there and just go copy and paste them out each time. That's one way to do it. That's inefficient. I feel. I am a fan of this app called text expander. I've been using TextExpander, my God, probably 20 years. Uh, it's a fantastic Mac app that allows an Ios app that allows you to automatically expand while you're typing. It expands things out. So I could type, for example, one of the ones that I use regularly is for typing my address. I type the letters, my m y a d d one and hit space and it expands with my business address, my add to and it expands with my home address, that sort of thing.
24:06 So I, you know, I use a lot of those little replacement scripts in here. You can also use on Ios instead of just typing and replacements, you can have buttons that auto fill the data that you put in there. So you create these snippets they're called and then you create a little button layout that you can access on your phone, which is kind of neat, right? So here let's, let's go through that process because let's just take us all the way home. All right, so I create these, hey, I got these hashtags, I go to text expander, here we go and open text expander here and we're not going to upgrade right now. And you'll see in here that I've got a group called just kind of cleaning this window up a little bit here. I've got a group already called hashtags in your head.
24:46 Open that up and there's a whole bunch of us. So I've obviously already done this. We're going to create a new one. Let's actually put this into hashtags. Brilliant. We're going to create a new one or we're going to paste these into here and um, and I'm going to label this a, what are we over the street? I'll just start the street test. I don't know. Or that's what we're going to call it, street tests. I'm actually going a Hashtag in front of it just so I know what it is. And I just realized actually that these are all on new lines, on their own lines, which I don't want. So let's go back over to BBEdit here and let's do a find and replace on here. We're actually going to do the reverse of what we did earlier. So forge slash end for return, replaced with a space replace all.
25:21 There we go. Now they're all on one line. That's what I really wanted. So I'm actually going to put a line break in there and then those hashtags and then another line break and you'll see why in a little bit. So there's that. All right, so street test is in place. Ready to go. Excellent. So now I got to get over to my iPhone. So this next part happens on the phone itself. This of course requires that you have installed the server, installed the uh, the keyboard app on here, text expander. It actually adds, it becomes an Ios keyboard, which I never used for typing, but I do use it for this replacement thing all the time, which is really, really cool. Um, it is a paid service by the way. I think it's a subscription thing, but it's totally, totally worth it. Okay. So let's see here.
26:00 Let me open up text expander here and then it will share this with you. There we go. Perfect. Okay, so this is the text expander app and you don't normally ever use the app. You don't use it when you're typing. This is just there for, for setup. Okay. So I, there's my hashtags group. I look at the hashtags group and street test is already sunk. You can see it down at the bottom. So that has sinked up. Excellent. Uh, it's kind of convoluted how you set this up and you go to the gear menu in the bottom left and then there's this thing called snippet keys about middle of the screen there. So I tap on that and I add the snippet key that I want. So I hit the plus on the bottom right corner, go to Hashtags, and I'm going to enable street tests.
26:38 That's the one that I want in here. Okay, perfect. Done on their back out of there. And um, I guess to say, Oh, you can rearrange them while you're in here if you want it to. If I edit, if I hit edit here, I can rearrange them. So if I don't want that one at the end, so it's actually move this up along with my other hashtags was put it like right there. Street test. Okay. So that's where that is. So that's that part of it. So now, um, I would go to start composing my thing in Instagram. Now here's another full of tips today. Here's another tip. See how it Instagram, if you put a return, a carriage return in there, it doesn't honor it. It just removes it and you end up with um, you know, with just the flat data you like I want, I put a return in there cause I want it there.
27:17 There's this app that I found called space and you can see here next to Instagram, it's called space right there. Space allows you to type in your description, your whatever you want in here, put in your carriage returns and then when you copied to the clipboard, it inserts some invisible character or the right number of spaces. I'm not sure exactly what it's adding, but it will retain those blank lines in Instagram. Super Awesome. It has another cool feature where I'm up at the top, you see where the, I wish I could highlight it but you can see what the top says. Enter text 960220200 says 962 characters out of the 2100 Max. And to the right of that it says two and a hash. That's two hashtags being used. So this allows me to see how many hashtags are being used. So I don't go over the limit because what happens if you over the limit on Instagram, sometimes it'll just refuse to post, but some times it'll post and not include any of your texts for super frustrating.
28:06 So this allows you to, to avoid them. Anyway. So let's just say here, I'm going to, I'm going to, I'm working on this post and I don't know, okay? Clearly that two hashtags is wrong because there's a whole bunch of hashtags in here. So let's just pretend that that's working guys. Space guys need to fix that. But here's how this works. So I've got, I want to add my new hashtags in here. I change my keyboard to the text expander. It's already on the button mode. If I hit the t button here, it'll swap between normal keyboard and that button mode. And then I find the one that I just added in here, which was a street test, I hit street test, boom. And it just added them in and that's all there is to it. So now those hashtags are in there. So this point, this is the final step in this, right?
28:43 So at this point you have created these collections of hashtags that are based off of real data, right? I'm targeting personally, I'm targeting that 104,000 a 100 to 400,000 range. I have identified those, cleaned up the data, copied it into the text expander snippets so that now when I'm creating a post and it's about landscapes or it's about fashion or whatever it is, I've got those tags ready to go. And at some point, hopefully my v my likes go up and I get to a point where it's time to kind of upgrade next level level up, if you will. And I will go back and do this over again. And that might be in three months, six months, a year, you know, who knows. But, uh, but that's it. So that's the process. Crazy. Right? But it's really interesting and I hope that you found this as interesting as I did.
29:26 Again, super, Super Geeky here, but I thought it was really a lot of fun to do. So I'm hopefully you did too. We're going to jump into a live Q and a here. For those of you watching live, if you're not watching live, you could be able to come up afterwards. And of course, as always, if you haven't subscribed yet, do hit that subscribe button. Hit the like button, share this with somebody, tell a friend, um, you know, it's Kinda important. Helps get the word out. And uh, I certainly appreciate it. All right, we'll see you in a minute.