Latest / Social Media Marketing with Fexingo: Instagram, TikTok, LinkedIn, and Platform Strategy / How Brands Are Weaponizing Algorithmic Chaos
Transcript
- Lucas: So here’s a question that keeps me up at night if I’m honest: why are some of the most successful brands right now, especially in Q three of twenty twenty six, actively avoiding high-production value on their feeds? I’ve been tracking a few mid-market apparel companies, and they’re posting grainy, unedited clips that look like they were filmed on an iPhone seven. And yet, those posts are getting three times the reach of their polished studio shoots. Luna: It feels counterintuitive, doesn’t it? Like we’re going backward. But I’ve noticed the same thing with tech newsletters. The ones that send a plain text email or a rough draft snippet get more clicks than the ones with the fancy graphics. Lucas: Exactly. It’s not just about being lazy. It’s a signal. Platforms have gotten incredibly sophisticated at detecting ai generated or overly produced content. There’s a subtle metadata signature, a pacing pattern, even the lighting consistency that algorithms flag as 'adversarial' because it feels too commercial. When you strip away the polish, you leave behind the human fingerprints—micro-hesitations, background noise, imperfect framing—that the model identifies as genuine peer to peer interaction. Luna: So you’re saying imperfection is becoming a trust signal? That’s a wild pivot from the last decade where 'professionalism' was the currency. Lucas: Precisely. Let’s look at the mechanics. If you post a video with perfect color grading and a scripted hook, the algorithm assumes it’s a broadcast asset. It puts it in the 'advertiser pool,' which has lower organic velocity. But if you post a shaky clip of your team arguing about a design choice, the algorithm sees high retention because people are watching to see who wins the argument. It interprets that dwell time as 'community building' rather than 'passive consumption.' So it pushes it further out. Luna: That explains why my friend’s bakery gets more likes for photos of burnt cookies than her perfect croissants. People want to see the struggle, not just the result. Lucas: Right. And it’s not just visual. It’s textual too. I’ve seen brands start using fragmented sentences, missing punctuation, even deliberate typos in captions. It lowers the 'readability score' in a way that makes the content feel less like a press release and more like a text message from a friend. On LinkedIn, this is huge. The posts that perform best aren’t the thought-leadership essays; they’re the one-paragraph reflections typed out on a commute. Luna: But doesn’t that risk damaging the brand’s authority? If you look sloppy, do customers assume your product is sloppy too? Lucas: That’s the rub. And this is where the strategy gets tricky. You have to calibrate the chaos. For a luxury brand, this might backfire. But for consumer goods, direct to consumer brands, and even B2B SaaS companies trying to humanize their founder story, it’s working. The key is 'controlled imperfection.' It’s not random messiness; it’s curated authenticity. Think of it like a chef who plates a dish perfectly but leaves the fork marks visible, suggesting someone actually sat down to eat it. Luna: So it’s performative honesty? Or is there a real difference between staged authenticity and actual vulnerability? Lucas: I think the audience can tell the difference, but the platform can’t. The algorithm just sees engagement metrics. If the audience engages with the 'messy' post more than the 'clean' post, the messy post wins. So brands are optimizing for the algorithm’s preference for human signals, even if it means looking slightly unpolished. It’s a game of chicken against the machine. Luna: This sounds exhausting to manage though. Your team has to constantly resist the urge to fix things. Isn’t that hard for creative directors? Lucas: It is. I spoke with a social media manager at a fitness app who told me they now have a 'de-polishing' step in their workflow. They take their best footage, add compression artifacts, reduce the frame rate slightly, and remove the audio normalization. It’s reverse engineering the aesthetic. It’s ironic, but effective. Their engagement rate jumped by forty percent quarter-over-quarter after they started doing this. Luna: Forty percent? That’s massive. Did they lose any followers in the process? Lucas: No net loss. In fact, they gained followers. Because the new content felt more accessible. People commented things like, 'Finally, something real,' or 'This looks like my life.' The comments section became a community hub rather than a list of emojis. That’s the secondary benefit: higher quality interactions, not just volume. Luna: So the metric shifts from vanity to connection. That’s a big deal for marketers who are still obsessed with impressions. Lucas: Absolutely. And it’s spreading to LinkedIn. I’ve noticed that executives who used to post long, formatted articles are now posting short, punchy thoughts with no formatting. Just plain text. And the response is stronger. It feels like a conversation starter, not a lecture. It’s breaking the 'corporate robot' mold that many people have grown tired of. Luna: Do you think this will plateau? Or will the algorithms eventually catch up and penalize low-quality content again? Lucas: Probably. Algorithms are cyclical. Right now, in September twenty twenty six, they are rewarding 'high-signal human behavior.' But as more brands adopt this tactic, the signal becomes noise. Eventually, we’ll likely see a return to some form of quality verification, maybe through verified creator badges or premium content tiers. But for now, the wild west is open, and chaos is king. Luna: So if I’m a small business owner listening to this, should I stop hiring photographers and start hiring videographers who know how to make things look worse? Lucas: Not necessarily. But you should prioritize storytelling over aesthetics. A well-told story with bad lighting beats a poorly told story with perfect lighting every time. Focus on the narrative, the emotion, the context. The visual quality is secondary, as long as it’s watchable. If you can hear what’s being said and see what’s happening, you’re good. Luna: That’s liberating, honestly. It takes the pressure off perfection. But does it work for all industries? What about healthcare or finance? Lucas: Those are harder. Trust in those sectors is built on competence and safety, not just relatability. You don’t want a doctor looking disheveled when they’re giving medical advice. But even there, you can find room for humanity. A nurse talking about a tough shift without makeup on, or a financial advisor explaining a market drop in plain language without a suit jacket. It’s about balancing credibility with approachability. Luna: So it’s not about being sloppy, it’s about being present. Showing up as a person, not a logo. Lucas: Yes. And that’s what the algorithm is picking up on. It’s looking for presence. When you’re present, you engage. When you engage, you stay. And when you stay, you build loyalty. It’s a loop. Luna: I love that. It’s the end of the billboard era and the beginning of the campfire era. Lucas: Perfect analogy. Billboards shout at you. Campfires invite you in. And right now, the platforms are hosting the campfire. Luna: Before we wrap, I have to mention that supporting this show helps us keep digging into these kinds of niche strategies. If these conversations have sparked something you've actually used, consider buying us a coffee. Lucas: Yeah, it really does keep the lights on. You can support us directly at buy me a coffee dot com slash fexingo. No pressure, just appreciation if you want to help us keep making these deep dives. Luna: Thanks for listening. Now, back to the topic. Lucas: One last thought on this: pay attention to the comments. If people are tagging friends saying 'this is so us,' you’ve nailed the chaos strategy. If they’re asking 'who shot this?' or 'what camera is that?', you’re still playing the polish game. Shift your focus to the former. Luna: That’s a great litmus test. Tagging equals connection. Complimenting equals observation. Lucas: Exactly. Connection drives the algorithm. Observation just watches it. Which one do you want to be driving? Luna: Definitely driving. Thanks, Lucas.