Latest / Social Media Marketing with Fexingo: Instagram, TikTok, LinkedIn, and Platform Strategy / Why Social Media Algorithms Punish Engagement Bait
Transcript
- Lucas: If these marketing conversations have sparked something you've actually used in your own workflow or strategy, know that this show runs entirely on listener support. There are no ads here, just two people trying to make sense of the noise, and a small group of you keeps the lights on every month. Luna: It really is the only way we can keep this depth without selling out the signal. You can join us by supporting us at buy me a coffee dot com slash fexingo. Lucas: Thanks for that. Now, let's get back to the core problem facing almost every brand today. We need to talk about why your engagement is dropping even though you're posting more consistently than ever. Luna: Right, because everyone is still chasing the old playbook of viral hooks and comment baiting, which is exactly what the algorithms are now punishing. Lucas: Exactly. For years, the rule was simple: maximize interactions. If a post got ten thousand comments, the platform pushed it to ten million feeds. It didn't matter if those comments were angry, irrelevant, or just emojis. The metric was volume. But starting around late twenty twenty four, we started seeing a distinct shift in how major platforms like Instagram and TikTok evaluate content quality. Luna: So they moved from rewarding sheer volume of interaction to rewarding the quality and duration of that interaction? Lucas: Precisely. The new weight is heavily skewed toward watch time, completion rate, and meaningful shares. A video where people watch ninety percent of the clip but don't comment is now valued higher than a video that gets fifty thousand comments but has an average watch time of three seconds. This is a fundamental inversion of the last decade's growth hacking advice. Luna: That makes total sense when you think about ad inventory. Platforms want to keep users on the app, not drive them away with toxic discourse. Lucas: You hit the nail on the head. Advertisers are paying for attention, not argument. If your content generates rage-bait, you might get high engagement metrics, but you also increase the likelihood that users will scroll past future ads in that same feed. The platform's internal models have adjusted to deprioritize content that triggers negative emotional reactions, even if those reactions are quantifiable as engagement. Luna: So brands that built their entire strategy around controversy or 'call-out' culture are suddenly watching their reach evaporate? Lucas: They are. I've been tracking a mid-sized apparel retailer that spent eighteen months optimizing for comment volume. They would post provocative questions in their captions, like 'Is this color choice a fashion crime?' The goal was to get people to defend or attack the opinion. For two years, their reach grew linearly. Then, in the third quarter of last year, their organic reach dropped by forty percent overnight. Luna: Forty percent is massive. Did they realize it was the algorithm change causing it? Lucas: Not immediately. They doubled down on paid ads to compensate, thinking their organic decay was temporary. But when they finally audited their content, they realized their comment sections were filled with spam bots and aggressive arguments, not community building. The platform had effectively shadow-banned their style of content because it degraded user experience. Once they switched to educational, high-retention tutorials, their reach stabilized within six weeks. Luna: It's a classic case of optimizing for the wrong metric until the metric itself changes. How do we measure this 'quality' interaction now? Lucas: The key proxy is the share to view ratio and the save rate. When someone shares a piece of content, they are putting their own reputation on the line. That is a much stronger signal of value than a comment. Similarly, saving a post indicates intent to return or learn later. These actions correlate highly with long-term user retention, which is what platforms care about most right now. Luna: So if I'm a marketer, I should stop asking 'What do you think?' and start asking 'Would you save this for later?' Lucas: Metaphorically, yes. Your content structure needs to encourage pause and reflection, not reaction. Instead of a polarizing statement, try a counter-intuitive fact or a detailed breakdown of a process. The hook should promise utility or deep insight, not drama. This aligns with the platform's desire to keep users engaged with high-quality material that doesn't lead to churn. Luna: This feels like a harder skill set to develop. Writing for drama is easy; writing for retention requires real substance. Lucas: It does. And it forces brands to actually be good at what they do. If you're selling a product, you need to demonstrate its value clearly in the first five seconds, then maintain interest through the middle, and deliver a payoff at the end. No shortcuts. No clickbait thumbnails that misrepresent the content. The audience has become sophisticated enough to detect dissonance between the hook and the delivery. Luna: I've noticed this on LinkedIn too. The posts that get the most traction now are the ones with clear takeaways, not the ones trying to be funny or provocative. Lucas: LinkedIn has been leading this charge for a while. Their algorithm explicitly penalizes external links in the main post body and rewards dwell time on the article or document upload. They want you to stay in their ecosystem. Other platforms are following suit because the economic pressure is the same. They need advertisers to see that their users are calm, focused, and ready to buy, not agitated and scrolling mindlessly. Luna: Does this mean short-form video is dying? Or just changing? Lucas: Short-form video is evolving into medium-form utility. We're seeing a rise in three-to-five-minute videos that provide genuine education. The retention curve is flatter because the viewer expects to invest time. The algorithm supports this because longer watch times directly translate to higher ad revenue per impression. It's a virtuous cycle for both creators and platforms, provided the content holds up. Luna: So the strategy shift is from quantity and speed to depth and durability. Lucas: Exactly. And this brings us to the operational side. Most brands are still producing content at a frantic pace, hoping one thing goes viral. That model is broken. The new model is iterative refinement. You publish less, but you analyze the retention graphs deeply. Where did people drop off? What part did they re-watch? That data tells you exactly what resonates. Luna: It sounds like we need better analytics tools for creators. Most dashboards still focus on likes and shares. Lucas: They are catching up. The native analytics for Instagram Reels and TikTok Shorts now include second-by-second retention charts. Smart marketers are using these to cut their scripts tighter. If you see a dip at the ten-second mark, you know your intro was too long. You edit it out next time. It's a feedback loop that rewards discipline over volume. Luna: This feels like a return to basics. Good writing, good pacing, good value. Lucas: It is. The technology has changed, but human psychology hasn't. We still gravitate toward content that respects our time and intelligence. The platforms have simply aligned their incentives with that truth. Brands that adapt will thrive. Those stuck in the engagement bait era will fade into irrelevance. Luna: One last question before we wrap up. How do we test this without burning our whole budget? Lucas: Start small. Pick one channel and produce three pieces of high-retention content versus three pieces of traditional engagement-bait content. Compare the share rates and the follower growth quality. You'll likely find that the high-retention content attracts a more loyal, higher-value audience, even if the initial numbers look smaller. Luna: Quality over quantity, always. Thanks for breaking this down, Lucas. Lucas: My pleasure. Let's see if we can help you build something that lasts.