Latest / Social Media Marketing with Fexingo: Instagram, TikTok, LinkedIn, and Platform Strategy / Why Social Algorithms Are Killing Your Organic Reach
Transcript
- Lucas: Look at the numbers coming out of the major platforms this quarter, and you realize something uncomfortable has already happened. The idea that you can build a sustainable brand presence purely through consistent, high-quality organic posting is largely a myth from five years ago. Luna: It feels like every time I log into my personal feed, the ratio of ads to actual friends or creators has flipped completely. Lucas: Exactly. And for businesses, this isn't just an annoyance; it's a fundamental restructuring of their customer acquisition costs. We are seeing a forty percent year-over-year drop in average organic impressions for mid-tier brands that haven't adjusted their ad spend accordingly. Luna: So the algorithm is actively suppressing your own voice unless you pay for it to be heard? Lucas: Not suppressed in the punitive sense, but deprioritized relative to sponsored content. The platforms have made their revenue models explicit: organic reach is now a teaser for paid reach. If you want guaranteed distribution, you buy it. But here is the nuance most marketers are missing right now. Luna: Which is that there is still a role for organic, even if the volume is lower? Lucas: Precisely. The value of organic has shifted from reach to retention and trust signaling. Let me walk you through a specific case from a consumer goods company we tracked last month. They are a mid-sized skincare brand with about two hundred thousand followers across Instagram and TikTok. Luna: Okay, so they were considered established but not a household name yet. Lucas: Right. For three years, they relied on a heavy organic strategy, posting daily reels and carousels. Their engagement rates were solid, hovering around four percent, which is healthy. But their sales conversion from social was plateauing because nobody outside their existing follower base was seeing the content. Luna: They had loyal fans but zero new blood entering the funnel. Lucas: That was the problem. So earlier this year, they made a strategic pivot. They cut their daily posting frequency in half, focusing only on high-production educational content. Then, they redirected the time and budget saved into micro-influencer seeding and targeted boosted posts aimed at lookalike audiences. Luna: Interesting. Did their overall reach go up or down after that change? Lucas: Their total raw impressions dropped by thirty percent. On paper, that looks like a failure. But their cost per acquisition actually fell by twenty-two percent because the traffic they did get was higher intent. The algorithm rewarded the paid signals with better placement in the feeds of people likely to buy. Luna: So they traded volume for precision, and the bottom line improved despite fewer eyes on the content. Lucas: Exactly. It is a lesson in efficiency over vanity metrics. Now, before we dig deeper into how to structure that balance, I want to pause for a second. If these marketing conversations have sparked something you've actually used in your own work, or if you just appreciate the deep dives we do here, the way these stay ad-free is listener support. You can buy me a coffee dot com slash fexingo. It helps us keep digging into the data without selling your attention. Luna: Yeah, and honestly, if you find our breakdowns of these platform shifts helpful, that support goes straight back into the research that makes these episodes possible. Lucas: Thanks for that. Anyway, let's get back to the mechanics of this new reality. The core issue for many brands is that they are treating social media like a broadcast channel when it has become a recommendation engine. You cannot just shout into the void anymore. Luna: It is less like a TV station and more like a personalized concierge service that charges rent for every introduction. Lucas: That is a perfect analogy. And because of that, the definition of 'good content' has changed. Five years ago, good content meant high production value and broad appeal. Today, good content means high signal to noise ratio for a specific niche. Platforms like LinkedIn and even Instagram are optimizing for dwell time and meaningful interactions, not just likes. Luna: So if your post gets ten comments that spark a debate, it might perform better than one with a thousand silent thumbs-ups. Lucas: Absolutely. The algorithm interprets those comments as a sign of relevance. It then tests that content against a slightly broader pool of users. But if you rely solely on that organic testing phase, it is slow and unreliable. That is where the paid amplification comes in. You use ads to jumpstart the distribution of content that has already proven it resonates organically. Luna: So you validate first, then you scale? That sounds like a much safer way to allocate budget than just throwing money at untested creative. Lucas: It is significantly safer. Most brands are doing it backwards. They blast a generic ad to a cold audience, hoping for virality, and burn cash when it fails. The smarter play is to identify your top performing organic post from the last thirty days and put a small budget behind it. Let the organic data tell you who cares, then pay to show it to people who look like those care-takers. Luna: That requires a very different workflow for social media teams. They can't just churn out content blindly anymore. Lucas: No, they need to be data-literate. They need to know which posts are driving profile visits, link clicks, and saves, not just likes. Saves are particularly important right now because they indicate future intent. People save tutorials, recipes, or product recommendations to come back to later. Luna: Saves are a strong signal of utility. It tells the platform this content has lasting value beyond the immediate scroll. Lucas: Correct. And platforms are increasingly weighting saves and shares heavily in their ranking factors. If you are creating content that people bookmark, you are feeding the algorithm exactly what it wants to distribute. It creates a virtuous cycle where quality content gets more reach, which brings in new followers who then engage, reinforcing the signal. Luna: But that virtuous cycle is fragile. What happens when the platform changes its core objective again? Lucas: That is the risk we all face. But the principle remains constant: align your content with the platform's current incentives. Right now, those incentives favor authenticity and community interaction over polished perfection. Users are tired of overly produced, corporate-sounding ads disguised as posts. Luna: So being authentic is no longer just a moral choice, it is a tactical advantage for algorithmic visibility. Lucas: It is. Brands that show behind the scenes footage, admit mistakes, or highlight real customer stories tend to perform better than those that only push glossy product shots. It builds trust, yes, but it also triggers the engagement metrics that keep the algorithm happy. Luna: This puts a lot of pressure on marketing teams to be transparent while still maintaining a professional brand image. Lucas: It does. It requires a nuanced approach. You don't need to share everything, but you do need to humanize the brand. Use real employees, show the manufacturing process, or feature user-generated content prominently. These assets feel native to the feed, so they are less likely to be ignored or scrolled past. Luna: Native content is key. If it looks like an ad, people treat it like an ad. If it looks like part of the conversation, they engage with it. Lucas: Spot on. And this ties back to the cost efficiency we discussed. Native content that performs well organically reduces your dependency on paid boosts. Every dollar you save on organic distribution is a dollar you can reinvest into higher-funnel awareness campaigns or retargeting. Luna: It really highlights the importance of having a clear content hierarchy. Not every post needs to be a masterpiece, but some need to be highly optimized for specific metrics. Lucas: Yes. Think of it as a portfolio. You have some high-risk, high-reward viral attempts. You have steady, reliable educational content that drives saves and shares. And you have promotional posts that are strictly supported by paid budgets. Mixing them strategically prevents burnout and maximizes ROI. Luna: A balanced portfolio approach rather than putting all your eggs in the organic basket. Lucas: Exactly. The single biggest mistake I see is brands trying to force organic growth in a saturated market. It is exhausting and rarely yields proportional results. Accept the new normal, optimize for the metrics that matter, and use paid tools to fill the gaps. Luna: So the goal isn't to beat the algorithm, but to partner with it using the right mix of signals. Lucas: Partnership is the right word. You provide the value and the data; the platform provides the distribution. When both sides benefit, the relationship sustains itself. As we move through the rest of this year, expect to see more brands adopting this hybrid model. Luna: It will be interesting to see if smaller startups can compete with larger brands using this method, or if the paid aspect favors those with deeper pockets. Lucas: That is a fair concern. However, smaller brands often have an agility advantage. They can test niches faster and build tighter communities. Large corporations struggle with bureaucracy. So while capital matters, speed and specificity can still level the playing field. Luna: Agility over assets. I like that framework for thinking about social strategy today. Lucas: It is a useful lens. As you evaluate your own social presence, ask yourself if you are chasing ghosts or building foundations. The old playbook is broken, but the underlying principles of trust and value remain. Adapt the tactics, keep the mission. Luna: And hopefully, that adaptation leads to a more honest and effective dialogue between brands and their customers. Lucas: Ideally, yes. If we can strip away the noise and focus on genuine connection, the algorithm becomes a tool for discovery rather than a barrier to entry. That is the future we are aiming for.