2026 LinkedIn Content Playbook with Mark Jung, Founder of Known | Ep. 381

Proving your marketing ROI shouldn't be a guessing game, but when results are hard to track it's difficult to know if your marketing strategy is working. Meet Corel. In a few clicks you can connect every conversation to the exact campaign it started so you can focus on what works and drive better marketing outcomes all in one platform. Try it free today at Corel.com/proven. Welcome to the Marketing Millennials, the no BS marketing podcasts. I'm Daniel Murray. Enjoy me for unfiltered conversations with the brains behind marketing's coolest companies. The one request I tell our guests stories or it didn't happen. Get ready to turn the fuck up. We are back with another episode of the Marketing Millennials Podcast. I'm here with Mark Young. You might have heard of my podcast before he is a Canadian turned came in islands. Don't ask why he moved to the came in islands. He won't tell you. But he also is one of the best out there at LinkedIn. He's also my business partner. I don't know why I got into business with him, but that's another question as well. And we basically have a LinkedIn agency and we help people grow on LinkedIn scale everywhere from founders, CEOs, SaaS brands on niches. I go to market people, but we're going to talk about how to win on LinkedIn in 2026. What's new, the old way, the new way, and what are some things you could do today to up level your LinkedIn. But Mark, I want to give you a little time to just go into what's happening in LinkedIn right now. What's the state of the algorithm? So people know how to win first, because you need to know the rules on the field to be able to play the game. Yeah. And you know, unlike Daniel played, you know, D1 football, you know, go sincere. I remember we were in Dallas watching a game together and he gave me his jersey, which at the time like went down to my knees when I put it on. No, one of us was sporting. The other one cuffed me and my parents put me in fencing. So that was my sport. But the one thing that I think Dano and I always agreed on and got along in, you know, in our career was where scoreboard people. And, you know, having the data and the metrics and understanding how to get better when you look at the scoreboard is based on rules. So Dano and I did a talk similar to this back at inbound in San Francisco for HubSpot of how we did 607 million organic impressions on LinkedIn in 2024. And we talked about our framework, juicy. The name is, is interesting. We had Dano and I and like juicy, couture outfits, those like, you know, sweatsuits and like light blue. But anyways, we named the framework to be memorable that the reason why we wanted to jump on today is we had a lot of people come to us and ask us about the current state of LinkedIn. How do you learn the algorithm right now and what's happening? And the good news is that LinkedIn has probably made the most relevant shift in terms of how they operate since the origin of the platform. So what we're going to talk about today is going to take you through the most relevant, new state of the LinkedIn algorithm, which TLDR, if you don't know this about Dano and I, is we read every single academic white paper that the LinkedIn engineering team produced their API team, everything. We study their like journals, their white papers, everything to give you tactical tips. And this is a big part of how, you know, we put the same kind of effort and strategy into the agency. So I'm going to dive right in. I'm going to talk about the quick hits of what's changing. We're going to talk about the white papers where they get into specifics. And then if you're walking, we can talk about juicy and Dano can share some of the anecdotes from stage. But Dano, anything else? Is that some good? Or are you ready to dive in? Yeah. Let's talk about that. I think this is diving. Mark is a LinkedIn nerd when it comes to algorithm. So I'm going to let him dive deep into what it would look like before and now, how are you going to win if you know what the algorithm wants you to do? So I'm going to start with the three key trends that are different right now in the current state of the algorithm. And then we are going to freaking nerd out together. I will explain all of what's changed in LinkedIn, where we're coming from the timelines. And again, if you all want to know more about the stuff, if you want Dano and I to do a webinar on it, go deeper on it. Let us know. Hit us up. Make sure that you make yourself known and we can do deeper content on this. But the three things that matter most right now on LinkedIn, this is this change happened about October 16th. That's when at least when LinkedIn publicly started talking about this 2025 is LinkedIn have actually moved away from their old model. And the T.O.D. or their old model was like they used to use what's called like embedding based retrieval, which was how they were doing a number of different things to match you with contents. The new world of LinkedIn is they've actually wrote out their own L.L.M. And the report, if you want to like follow along and we'll look this stuff up, it's called large scale retrieval for the LinkedIn feed using causal language models. So bear with me, we're going to get through all the jargon and all the crap. And you can tell that was written by an engineer, not a man. Yeah, exactly. They published this stuff in ARXIV, which is their like abstract technical journals. So if you actually want to find it, you have to go ahead and like, anyways, you can download a pfs and go through it. The T.O.D. are though of like what's changed? Now try to like tee this up as relevant as possible into kind of the three core changes. Number one is that this L.L.M. is actually looking at what's called like entity relationships. Specifically, if you are thinking about something really basic like Wikipedia, Wikipedia is a really good example of how like entity relationships work. Let's say that Daniel was looking at like Tim Cook of Apple. Tim Cook has a ton of stuff that's written about him publicly. People know who Tim Cook is. They know what Tim Cook's relationship is to Apple. They know what Apple's business strategy is. So it's very easy for someone to form a web using entity relationships about Tim Cook, his position in Apple and what Apple was trying to do. What the new kind of like llama three L.L.M. model that LinkedIn wrote out is doing now is they're actually being able to look at like the meaning behind your potential entity relationship on LinkedIn and the intention behind what you're trying to accomplish. Specifically, what matters more now is your bio when LinkedIn matters way more than it used to. Your relationship to other entities as in what what LinkedIn calls here cohort seeding who specifically you're engaging with and LinkedIn has actually changed their engagement model. LinkedIn used to have a mix of positive and negative signal as in negative signal like if something showed up in your feed and you ignored it, didn't engage with it. LinkedIn used to take that into account before. They've actually gone away with that completely. LinkedIn now is a positive signal only platform meaning only what you engage with is part of what this L.L.M. is now painting a picture of related to what it wants to show you and what you think. Basically, like we need to try to make a bet on like how to monetize the silent majority or the net new creators. Yeah, it's kind of it's kind of like what they do on TikTok, where if you like a video on TikTok, they're going to show you more on of that. Actually completely different in this case. And what's interesting is like very different, but there's a new engagement window on LinkedIn. Unfortunately now there is both a compressed window of about 30 minutes from time of what engagement looks like, but there's also really interesting thing that you can gamify which is called token compute power weighted. What this means is that LinkedIn's new LLM and they've actually gone a record to say this. The first 60 tokens that they're using to analyze your content is the highest weighted in terms of its analysis and how much it's going to boost you relative to like basically like your audience, what you say your content is for and what it's doing. So we'll get into specifically like how you can front load the depth in your post with this new 60 token compute rule. But the last thing that really matters here is that LinkedIn's big bet on like video. If you remember, LinkedIn used to have a video button. It was a great video. They've gone on record. They're like VP of products to say that this experiment that they bet on didn't work and that they're finding new ways to basically trying to monetize the people on LinkedIn that they want to become more active creators. So the benefit of this and we'll get into the specifics now is as a net new LinkedIn creator, you can have 50 followers and still have the reach of someone with 50,000 followers if you are following these new rules. So recap before we get into self is like your bio and your profile and your entity relationship matter, a shit ton more than they ever did. You have positive signal only in the feed, which means what you engage with needs to be hyper intentional to match what you're saying your content is for your audiences. You should only be engaging with the right people that match your cohort seating, your engagement window in the first 30 minutes and the first 60 token computes analyzing your post really matter a tongue out. And then more overall is what this actually means going forward. So did that make any sense to you? There's a couple of things that I'll simplify it for some people which I interpret what not to do is one, what I think a lot of problem with people do in the algorithm is they send their posts to the whole company which aren't in their ICP or a pod of people that aren't in their ICP. And what you're basically telling the algorithm when you do that is I have all these random people in my ICP and show my content to like I they don't know who to show your content to. So you're engaging with random people and you're out and that's why the algorithm gets your feed gets all messed up because you start engaging with random people. So I always tell people that boot company boost thing that they do is actually a deterrent on your post. Secondly, what I also got from this is that LinkedIn like they did with stories can't figure out how to monetize ads and video. So they're not going to do it anytime they like that's the whole point of creating a new feature is like finding more places to create revenue and they can place an ad into your videos and into that video feed so they're not going to do more of it just because they can't place ads. It's not a video first platform. So that's something I'll say I got from it and then also I think it's just so hard with video to bring people off the platform versus like images and text like because the text is so compressed and when you write that nobody really clicks see more on a video as much as they click see more in an image and text. So those are the kind of things that I high level I got takeaways from is like it's like who you if you want intentional stuff you have to engage intentional intentionally on the platform and also like video they can't monetize like stories it's cool that they try to be like other platforms but they're never going to be other platforms and they need to find other ways to win and that doesn't mean stop doing video by the way if you're a great video keep doing video it's a great it's a great way to win but if you're not it means that video is not the only way to win I'll link to yeah I'll give you three quick tips that I don't have used and if you if you heard them before then I'll give you the updated version but there's three relevant things that have changed and then we'll get into kind of the history what's changed in the algo and really like diving into the meat of it but if you noticed originally in LinkedIn if you started to see in your metrics or analytics how many people are saving your content how many sends are there one of the reasons why LinkedIn started to show comments impressions was because they wanted to find a way to engage this like silent majority who maybe don't engage that much at if they're not going to post a not going to record videos they wanted to reward them by showing them some metrics behind what they're doing so just think about the psychology behind it right you're posting a comment back in the day you didn't know how many impressions it got now you know when your comments are actually doing well it's encouraging people to double down on that behavior so LinkedIn said okay how can we reward creators who are creating content but now seeing lower organic reach right because a lot of brands saw a big dip in organic reach because LinkedIn doubted back and then tried to get you to pay to boost your own content so that's when LinkedIn started to roll out you'll see it in more kind of like GA like general availability later on saves and sends the reason these silent metrics matter is they signal to creators that you're creating the right content similar to how like Instagram reels you know when other platforms use saves and send as like an indication I'll eventually take you through kind of like the 2021 save LinkedIn of when they introduced dwell time for the first metric there's like active dwell time and there's post click dwell time and they're both different and they actually implicate it sort of like they have a different weighted ratio in the currency of 2025 but the second thing that runs relevant here as a quick win is if you're familiar with like hey lawyer style billboards you've probably seen them in Miami like the last time I was in Miami visiting you know Daniel they have these billboards from lawyers that say hey were you hurt in like a hotel accident were you hurt in a parking lot at a big store you know did you get like I saw one that was like you get a DUI in a boat like whatever it was like hyper specific calling out the audience with LinkedIn's new cohort seeding being able to quickly signal who your post is for and who it is not for is one of the most important signals with both the LL analyzing your content and you actually reaching the right cohort of people to engage with it so that's something we're going to talk about but getting really tactical one thing that Daniel and I have been big proponents on I have pretty much been testing since like we joined LinkedIn is how to use a links in your LinkedIn content one of the ways that still wins today that is super valuable is called the 14% rule and Daniel and I talked about this in you know on stage at inbound for HubSpot and I'll give you a 90 second recap now you can edit your posts after like 10 15 minutes up to a total of we use 14% of the total character count you can happen to do 15 but we found 14 to be kind of the right amount so if you wrote a thousand characters you can edit your post up to a hundred and and you know 75 characters assuming my math is about correct about 14% without penalty so one of the easiest ways if you want to direct people to like a newsletter and event something like this do not put your link in the comments there is a miss there's like a misconception for LinkedIn that the link in the comments is the right thing to do it is absolutely not what you need to be doing is that LinkedIn in its current form of the algorithm doesn't actually care if you have a link in your content what they care about is how many people see that link and how many people click it well LinkedIn wants are are people actively engaging with what you're doing and if your intention is saying hey here's a free resource but then it's a web page that's taking do like an event or something like that it's a paid promo or it's like a buy they want to make sure that you aren't bait and switching people so the problem of linking the comments is that people think it's the right thing their comment they comment themselves the first comment on their own post which LinkedIn already sees as spammy behavior when you're commenting in your own content after it just gets published then you're putting a link in there which by itself originally LinkedIn started to defricate and downrank now they don't do as much what you want to do instead is wait 15 minutes till your post has some organic engagement go back and edit your post up to 14% of the total character count and put that link either in the second line so it's still visible in the feed above the fold or at the end of your post and you want to make it so that people will actually click this link so add white space around it out of the emoji add brackets but like make sure there's clear white space of like the link and it's very clickable the other thing that you can do with links that's super super relevant and Dan and I talked about this is you can do resource posts on LinkedIn so the second type of way you can use links is if you wanted to publish something that was like hey here's like I've curated a bunch of winning ads here's like my mirror board my figma whatever it is if you're publishing a link roundup you can actually use four to five links in a post and as long as you see the right metrics as in like link clicks saves and shares that post will do way better than a post that you just did naturally and put a link in the comments so typically by default we default to these two styles don't post something that has a link in it by default and unless you're making that link very visible or if you do wait 15 minutes edit 14% of the character count add it as the second line of the last line or if you use links use a bunch of links as a resource heavy post that will get fat into the algorithm with saves and shares so anything you want to add to that before we talk kind of history and specifics as marketers we're all trying to answer the same question which investments are actually driving revenue and to often the honest answer is an educated guess call rail replaces that guesswork with proof with the hub of AI you can connect every lead to the exact campaign that drove analyze your conversations and capture leads around the clock that's why over 220 thousand businesses use call rail to market smarter stop estimating impact and start proving try call rail for free add call rail dot com slash prove it I just think I want to I mean we we talked a little bit that we said juicy in the front as I like framework but I want to double down since you brought it up already of like the sea of juicy that we use is comedy and the one of the biggest ways that I we saw in 2025 that I at least saw in the marketing millennials that got I would say double the amount of reach than then just feed posts are are from comments and the reason this works and we'll go into some other things of what other things that but common impressions signals had linked in once you to do more commenting so they were awarding comments and seeing you can see it more in the feed and that's actually helping follow our growth more than anything especially on company pages so if you have a company page and you want to win in company pages it's so much easier to win on commenting second they did the releasing repost and shares I mean saves and sends this is the most important metric I think on Instagram and that I think LinkedIn saw that and now they're doing it as well on there but this is how you know you're creating content that's winning if you can get that save and share button and this easy ways to get those numbers up simply by saying save this post for later or share this with the teammate or if you could signal a CTA to get people to do that but something that I've been looking at more and more and I think we're in the the shareability era of content right now is like if you you need to create content that is worth sharing within the in the DMs and that's on Instagram that's on LinkedIn that's on the newsletter if you could optimize for shares and have CTAs to say share it you're gonna win because algorithms inboxes want to see more engagement with your email or your or your post so optimize for those two metrics now now that LinkedIn showed it and that means that LinkedIn wants more of those actions and more activity in the DMs so those are two things I'm gonna add it's like double down on commenting in 2026 and when you're creating content figure out ways to get those sends and shares up and that's why resource posts is wins right I think like they win because people are sharing resource posts like they're sharing and they're screen charting it for their team there's spending time on the post so I just wanted to add to those two quick points yeah and you know you may be listening to this and go like you know why should I listen to these you know these two guys like you know uh to it can they really deliver what they're saying so you know Dan and I have created tens of thousands of LinkedIn posts for our clients that we represent and you know we run a kind of like a stealth agency we don't talk about our clients but what we do is we tend to use the exact same strategies for our own content you know my last kind of five posts I've shipped 10% of the content I typically post in the year this year because we've been creating so much content you know you know that that like classic social thing is like your design portfolio is empty because you've done thousands of design projects you know for clients even though I have posted a ton of less personally this year typically if I'm doing five to seven posts a week my posts are averaging between 200,000 to 400,000 impressions per post because Daniel and I are using the exact same system ourselves so when the period rhyme doing five to seven posts per week we're doing over a million impressions easily per week now one thing that's super interesting and I'll talk a more about this and this related to kind of like the currency of the algorithm that I'm gonna rewind back to 2020 at a very pivotal moment of when the algorithm change and come back to tell you about the currency and what's going on post cadence and cannibalization of engagement is the best it's ever been on LinkedIn here's what I mean when I say that back in the day in like early to mid 2024 you had a six hour window that LinkedIn would analyze your engagement a one hour window and an 18 hour window and what this meant was that if you posted more than once in an 18 hour window you'd be cannibalizing your own reach and engagement what we have found is that actually content velocity is one of the most important metrics to success in the currency to the algorithm we have net new pages that Daniel and I are growing now that are posting 21 times a week three times per day seven days a week and they're still averaging seven to eight million impressions per month per page and what are the reasons why is coming back to the long tail and the video bet that kind of failed for LinkedIn so I'm gonna talk a little bit about that and then we'll get into the specifics and then we'll get into kind of the meat of the current algo so if you notice before that LinkedIn moved away from that like cost to make video button their bet was LinkedIn wanted to monetize the silent majority you know the 90% of LinkedIn that don't actively create content they're either just maybe commenting or they're just viewing so their bet was hey if we have like a one click video for any executive any personal LinkedIn can just share their take we can add subtitles and we can give it distribution as in like give them that taste of what getting a reach felt like that's why typically when LinkedIn ships a new feature polls anything like that you can tell the engagement is typical off the charts when it starts because they're trying to psychological rewards you to do more of that thing right so their bet was that people would actually start creating video those people will then become more active on LinkedIn and they'd pay for premium features they failed because the problem was people were uploading really premium high fidelity polished videos that made people not want to share video content right like if there wasn't a low bar for entry as in hey everyone's doing this and it looks good and I feel good people were publishing their like really premium Instagram and YouTube videos so by default people were like no I don't want to do that and then their bet on video and like video being the thing for LinkedIn to monetize these people didn't work so LinkedIn went back to the drawing board and they said okay like how do we get more people on LinkedIn to spend money and spend more time so what they found and this was like early in 2020 2020 in May it was like May 12 2020 was the first time they ever publicly talked about this this is when LinkedIn introduced dwell time as a metric and if you're unfamiliar with dwell time basically what it means is there's two types there's on the feed dwell time which means once a post I'm holding my phone here once a post comes into 50% of your viewport like your screen it's measuring how long you're spending looking at that post before you click or have any interaction so they're looking out like how long you're dwelling on stuff the second thing they're looking at is called after the click dwell time which is how long you actually spend on the content after clicking it and what they found was that when they used dwell time as an indicator to rank contents they were able to serve better performing content for people and I think they increased like engagement and like monetization by a few percentage points back in this like 2022 era which was like an aha moment for them so I'm going to skip forward to like a lot of the technical crap because like you guys don't really need to care about that but essentially what what mattered as a result of that was linked in started to have all these little experiments of how they could get people to be more engaged and how they could get more money out of them so later that year in 2024 they published this study called like LIRANK which was like a study of how they were scaling what's called like the non technical version of it is they basically created what's called like towers of engagement it's like the technical term that they used in these studies and what they looked at was like something called a click tower and a contribution tower the click tower was predicting how likely you were to click on something and how likely you were to dwell on something based on a past record of what you had done so this was what Daniel was talking about before of like TikTok right like TikTok is a really good way of serving you stuff that it thinks you're going to like so LinkedIn then had another tower called the contribution tower which was they were predicting comment shares votes for polls things like this but the the TLDR was like both of the towers were meant to like help you serve more content that was ideally going to keep you on the platform and making you pay so they did a bunch of stuff and they had a few percentage points lifts blah blah blah so they've been doing a lot of these tests under this current model for the past like four or five years but in 2025 as of October they've made a really big architectural shift so Daniel this is where I'm going to talk about like kind of like where we were before and where we are now so the old way is LinkedIn used to have like five separate very specific like retrieval stacks what I mean by that is remember at the beginning when I talked to you about like the embedding based retrieval matching thing what they call like EBR is basically like embedding based retrieval hmm the way they used to do it was they had one for like members so like you'd have one basically like embedding based retrieval matching for similar members to you so content that was like seen by similar members they then had one for a global trending topics that were popular across LinkedIn in general they had ones that were trending for specific geographies so they could match like what's popular in your location they had cohort specific EBRs that were like people similar to you are engaging with content like X and then they had like trending in industry so like what's popular in your field this is the first time that they've actually moved away from the system based on what they've talked about here to this new like LLM model where they're actually saying okay I'm actually going to look at your profile and I'm going to create like you know how you create a prompt for gpt or claw or whatever it is and you like are trying to do prompt architecture what LinkedIn are doing is they are actually doing the exact same thing like almost like the matrix was doing for every single person on the platform they are making like a prompt about you it has like your name your headline your company your industry it has your content type of whatever you typically post about and then what they do is they actually benchmark your popularity so one of the interesting things about the state of the algo and like I talked about was like they can't parse wrong numbers so what they did is they started grouping creators into popularity bands so they would say actually like you typically see you're typically in the top 7% of creators in this niche and you see that in your first 30 minutes and then they're still they didn't talk about if they're so benchmarking at the 6 hour and the 18 hour mark but what we've seen is that like it's more about your overall band of engagement and I'll talk about the benchmarking and how to gamify that later but basically what's happening here is this is the first time in like LinkedIn's history where they have started to do this without you if you rewind back to like dang would you remember when we used to get the AI contributions from LinkedIn yeah so that was the most annoying thing in the world so that was actually LinkedIn's bet if they could have us as people on the platform do this work for them we had to go and select a category we belong to five keywords we know maximum of five keywords of things that we posted about and then we were basically creating content to earn like an AI badge saying we were like a top marketing badge or whatever it was LinkedIn now are doing that work for you based on what's in your bio so the one thing that's super important now is like back in the day you could have a lot more freedom of what's in your bio now you actually need a craft your bio with a lot of your past credibility your metrics your exact title your company your industry who you're trying to reach because you need the lm it's kind of like lm.txt where some people you know like AI search said it doesn't matter that much for LinkedIn this matters a lot so my number one record in the current state of the algo is go back and actually evaluate your bio based on the current state of the algorithm and you want to look at these very specific things if someone who didn't know you landed on your profile could they tell you what your ICP is what your industry is exactly what you do and doesn't have credibility metrics that I should trust you if the answer is no to those questions you need to front load your profile to have these and you want to think about how the lm is actually going to be going through in my parsing and one of the reasons why LinkedIn's doing this is like they're trying to reduce technical debt they have a ton of technical debt from the old system so they're trying to like reduce compute power and simplify the stuff so think about how a bot would parse your profile and how it would like analyze you as a creator headwind and being hyper-specific so like don't say hey I'm like you know a lot of people say like I'm VP in marketing and then they talk a little bit about what they do I'm a B2B SaaS marketing VP right who specializes in like account-based marketing for this audience or whatever it is you want to get hyper-specific with your headlines and you're like taxonomy as it relates to your entity relationship in the field it's like the the way that we need to map it let's get into like one or two things that someone could do today to win on LinkedIn you could start with one and I can add on and then we'll wrap it up with that yeah so the first thing you want to do outside of like doing the bio is you really want to think about in the current state of this new algorithm because LinkedIn are trying to save compute power one of the things that's really relevant for them is they're really starting to analyze you and who they think like your content is meant to be for so I know that I talked about kind of like the hay lawyer style of like signaling for content but if you remember at the beginning I talked about like LinkedIn's 60 tokens of like compute power there's a really interesting thing that they publish in the report that I thought was helpful because like I'm the kind of person that wants to understand whatever they've publicly said here and like addressed I want to know what they've gone on record to say in this but I can kind of a reverse engineer how to win and one of the things that they've actually gone on record publicly to say is that the first 60 tokens of compute power in analyzing your content have the most weight did they tell us exactly how they weigh it no but what matters is that if you had a video let's say you had a video piece of content it was like POV that takes a lot of compute power to analyze that video we didn't are doing these in like 150 milliseconds each the hook of your content in the past used to be could be like oh I failed this time of my career and here's what it taught me about blah blah blah these like more like engage with bait style of like storytelling hooks used to be they used to work well LinkedIn are looking for signals of like authority and credibility now as part of this like compute power for their tokens so my big belief is that actually like depth driven hooks with like very specific metrics the exact situation and calling out the exact cohort of audience you want to reach in your like text hook and re-hook will actually start performing way better than more of the like bait and hook formal like getting people to click to see more on the hooks so I'd say take some time and test out more of like that style of hook content because they've gone on record to say that that is actually what matters more in the waiting for your how you show up and algorithm now I think I'm gonna say I had something that you have to add that hook that marks as but I think an easy low left way to win on any social plow but especially LinkedIn is look at what's working in adjacent or other industries and figure out how you can make content like that for your industry um this is something we do a lot with our content is we'll find posts that have got a traction on other platforms reddit x instagram tiktok but not in our industry adjacent to our industry and say we look at it and say how can we make this for marketing um this is a very low left way to figure out to start posting the next level is what mark said it's like taking it to the next level and making more original and death post but if you're trying to figure out a way to share your ideas but also piggyback off other um things that are winning in the algorithm this is a way to get seen but also piggyback up so I would go look at what's winning consume a bunch of content and then figure out how when you're doing that save it and figure out how to do that for your industry yeah the like 90 second recap here of what matters is that LinkedIn is now using an LL model they're trying to simplify compute power and what that means is that they want to understand you and find a way to monetize you more as a creator on LinkedIn or a participant and they're trying to do a better job understanding you and your relationship to who you say you create content for or what you're on LinkedIn to do LinkedIn are trying to show you more like job applications and ads and things based on this entire like semantic profile they're building about you so the most important thing to think about that is okay knowing that how can I design my bio in a way that's hyper specific that positions me as an authority that signals exactly what audience I am for and can help make that easier for the LLM it's kind of part one part two is now that LinkedIn only uses positive signal you know that you can control what your feed looks like by being very specific about who you engage with and you're going to have more people seeing your content as a composite of what you've engaged with so if you're trying to reach for example like a revops people you should only be engaging with people in their revops fields because that profile is not only going to be used as a modifier for your own content but for who's going to start to see your content so you can keep in mind now with his positive only signal model you shape a bit more of your destiny on LinkedIn and if you're a net new creator LinkedIn wants to reward you they want to make it easier for you to actually grow your follower account doesn't matter as much now it's more about like you getting benchmarked in what percentage of engagement in your designated cohort so try to be very specific about calling out exactly who your content is for try to front load your metrics and try to take advantage of this new kind of like 60 token compute model I can't tell you how much compute power those tokens are like how long it actually gets through your post of analyzing it what I do know is like front loading the depth of your content and the authority and like the POV behind it Daniel and I do a lot of humor on LinkedIn but we do what's called edutainment so we pair like entertainment with education so if we're doing a meme or something funny you can bet that there's a lot of depth and POV behind it so the end of the day like have a strong point of view of conviction make sure that that story shows up in your profile in your contents because any type of gamification or stuff that you can do for the algorithm won't work unless you actually have something meaningful to say conviction and like craft and what you're doing so I know that we there's so much to cover this stuff and I literally could talk about this for eight hours yeah if you guys want us to do a part two on this please DM me on LinkedIn or DM mark young on LinkedIn and we'll just hit up us at danieladauthorityb2b.com yeah I think this is a topic we can go in for hours and hours but I wanted to compress it but the main takeaway is you can't win on LinkedIn there's strategies to win on LinkedIn and I hope this episode helped and until next episode thank you for listening and we appreciate any feedback you have so see you thanks so much for listening 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