Latest / Social Media Marketing with Fexingo: Instagram, TikTok, LinkedIn, and Platform Strategy / The Shift From Social Feeds To Direct Messaging
Transcript
- Lucas: We talk a lot about algorithms here, but I want to pivot to something that actually drives revenue: private group chats. The data shows that over seventy percent of social media traffic is now coming from sources platforms can’t easily track, like WhatsApp forwards or iMessage shares. This isn’t just noise; it’s the new frontier of customer acquisition. Luna: Right, and the weird part is that brands are still optimizing for likes when the real conversation happens behind a login wall. It feels like we’re trying to measure foot traffic by counting cars driving past the store instead of going inside. Lucas: Exactly. And the tools we use to measure this, like UTM parameters, are completely useless in a DM. If someone shares a link in a Telegram channel with five thousand members, you get zero visibility into who clicked it or why they stayed. So, how do we even begin to value that audience? Luna: Maybe we stop trying to track every single click and start looking at aggregate behavior? Like, if our referral traffic spikes on Tuesdays, maybe that’s when the big industry groups are active. Lucas: That’s a good heuristic, but it’s not precise enough for a CFO. Let’s look at a specific example. Shopify merchants who use WhatsApp Business API see a conversion rate three times higher than email campaigns. Why? Because the friction is lower. You don’t have to open an app, log in, and read a long subject line. You just tap a link. Luna: But doesn’t that create a privacy risk? Customers are wary of giving their phone numbers to random brands after all the recent data breaches. Lucas: It does, which is why the opt-in strategy matters so much. The best brands aren’t buying lists; they’re creating content so valuable that people to share it in their inner circles. Think about a niche newsletter or a specialized tool. When that gets forwarded, it’s a trust signal. The sender is vouching for the receiver. Luna: So the metric shifts from reach to trust density? That changes the whole creative brief for marketers. Lucas: Precisely. If your goal is viral sharing, you design for the group chat, not the feed. You make sure the link preview looks good, the headline is punchy without being clickbait, and the landing page loads instantly on mobile. Most brands fail because they treat social posts as billboards instead of conversation starters. Luna: I’ve noticed this on LinkedIn too. The posts that get shared most aren’t the ones with the most comments; they’re the ones people send directly to colleagues saying, 'This is relevant to your project.' Lucas: Yes, and that’s professional dark social. It’s high-intent traffic. A referral from a peer on LinkedIn often converts better than a paid ad because the context is already established. The recipient trusts the sender’s judgment. Luna: Does this mean companies should be incentivizing employees to share more? Or is that a compliance nightmare? Lucas: It can be, but the key is empowerment, not mandate. Give your sales team easy to share assets. One-pagers, case studies, short videos. If they have to craft a message from scratch, they won’t do it. If it’s a pre-packaged insight that makes them look smart, they will. Luna: That makes sense. It’s about reducing the cognitive load for the sharer. But how do we prove ROI to stakeholders who only care about last-click attribution? Lucas: You run controlled experiments. Compare cohorts. Group A sees a standard ad. Group B gets access to a private community or a direct link sent via email. Track the lifetime value of those customers versus the control group. Often, the dark social cohort has significantly higher retention rates. Luna: So the value isn’t just in the initial sale, but in the longevity of the relationship. That’s a much stronger argument for budget allocation. Lucas: Absolutely. And it aligns with the shift toward community-led growth. Brands like Figma or Notion didn’t grow through traditional ads; they grew through users inviting their teams. That’s dark social at scale. Luna: It’s fascinating how the platform dynamics are changing. Even Instagram is pushing Reels to be shared in DMs now, recognizing that discovery is happening there. Lucas: They are, but they’re also monetizing it. If you can’t track the share, you can’t sell the ad against it as effectively. That’s why some platforms are experimenting with end to end encryption that still allows for aggregate analytics. It’s a balancing act between privacy and profitability. Luna: Do you think smaller businesses can compete in this space, or is it dominated by tech giants with the resources to build these integrations? Lucas: Smaller businesses actually have an advantage. They can move faster and build deeper personal connections. A local boutique sending personalized recommendations via WhatsApp feels more authentic than a corporate blast. Authenticity drives sharing. Luna: So the playbook is: create value, make it easy to share, and let the network effect do the work. No need for massive ad spend if the product is good enough. Lucas: Not necessarily no ad spend, but a smarter allocation. Invest in content that sparks conversation, invest in community management, and track the downstream effects. It’s a longer game, but the results are stickier. Luna: I’m curious about the role of AI in this. Can AI help generate those shareable insights, or does it strip away the human touch? Lucas: AI can help identify the right moments to share. Predictive analytics can tell you when a user is likely to recommend a service. But the content itself needs to feel human. People share things that reflect their identity. If it sounds robotic, they won’t forward it. Luna: So AI is the engine, but human empathy is the steering wheel. That’s a solid way to put it. Lucas: Exactly. And as we wrap up this segment, I want to pause for a moment. We’ve been talking about how brands build trust through private channels. That same principle applies to us. Your support helps us keep this independent and ad-free. Luna: If these conversations have sparked ideas you’ve actually used in your own work, consider supporting the show. It keeps the lights on and the research deep. You can find us at buy me a coffee dot com slash fexingo — that's F. E. X. I. N. G. O. Lucas: Thanks for listening. Now, back to the data. Luna: Wait, before we go further, let’s dig into the TikTok side of this. How does the algorithm handle private shares versus public views? Lucas: Great question. TikTok’s algorithm prioritizes watch time and completion rate. If a video is shared privately and then watched fully by a small group, it signals high quality. But if those viewers don’t engage publicly, the boost is muted. Luna: So the platform is essentially punishing hidden virality? That seems counterintuitive for a platform built on discovery. Lucas: It’s a tension point. TikTok wants everything in the open feed to maximize ad inventory. But creators know that private shares drive actual conversions. Some are even adding watermarks or unique codes to track those off-platform actions. Luna: That’s clever. It turns each share into a measurable event. But is it scalable across thousands of influencers? Lucas: For top-tier influencers, yes. For micro-creators, maybe not. But they can use affiliate links. If the link clicks spike after a video drops, you can infer the private share volume. It’s proxy data, but it’s better than nothing. Luna: And it keeps the creator ecosystem healthy by rewarding genuine influence over just loud noises. Lucas: Exactly. It rewards relevance. And that’s where the future of marketing is heading. Not towards shouting into the void, but towards whispering in the right ears. Luna: Whispering in the right ears. I like that. It feels less aggressive and more strategic. Lucas: It is. And for listeners, the takeaway is simple: audit your content. Is it designed to be seen by everyone, or is it designed to be sent to someone specific? The answer determines your success. Luna: So, ask yourself: who would I forward this to? If the answer is no one, maybe it’s time to rethink the angle. Lucas: Spot on. Thanks for tuning in. Next week, we’ll dive into how AI is reshaping customer service interactions. Until then, keep sharing wisely.