Latest / Influencer Marketing with Fexingo: Creators, Sponsorships, and Modern Endorsement Deals / How Influencers Are Building Their Own Ad Networks
Transcript
- Lucas: If these marketing conversations have sparked something you've actually used at work or just found interesting, let me start with a number that stopped me this week: nearly forty percent of top-tier creators on YouTube and Instagram now sell ad slots directly inside their content, not through traditional brand sponsorships. Luna: Wait — they're basically running their own ad networks? Like, they're the publisher selling inventory? Lucas: Exactly. And it's not just the mega-influencers. I've been tracking this trend since early last year, and what started as a handful of tech creators experimenting with programmatic ad insertion has turned into a real shift. The most concrete example I've seen is beauty creator Mia Chen. Luna: Mia Chen — she's got about 800,000 subscribers on YouTube, mostly skincare tutorials, right? Lucas: That's her. In January 2025, she announced she was launching her own in-video ad network called 'Glow Ads.' Instead of pitching products in a sponsored segment, she sells fifteen-second and thirty-second slots within her videos that brands can buy directly through a dashboard. She sets the CPM, the audience targeting filters, and the placement rules. She even has a minimum floor price — $35 CPM. Luna: Thirty-five dollars per thousand impressions? That's high. Typical YouTube pre-roll ads are more like ten to fifteen. Lucas: Right, but her audience is extremely niche — skincare enthusiasts who watch her entire twenty-minute tutorials. And she's selling the context, not just the reach. A brand like a Korean sunscreen company buys a slot and knows it will play right after she says the word 'SPF' in her video. That contextual relevance justifies the premium. Luna: So how does the tech work? She can't just splice an ad into a video after it's uploaded — that would break the viewing experience. Lucas: She uses a third-party tool called 'AdInserter Pro' — it's a plugin that works with her video hosting platform. She marks timecodes in her video where ad slots can appear, and the tool dynamically inserts the winning brand's creative. The whole thing is programmatic, real-time bidding, just like an ad exchange. But she controls the floor price and which brands can bid. Luna: So she's essentially building a private marketplace for her own inventory. That's smart — but also a lot of work. Why not just do traditional sponsorship deals where a brand pays a flat fee for a mention? Lucas: Two reasons. First, control. In a traditional deal, the brand often dictates the script, the timing, and the messaging. With her own ad network, Mia Chen keeps full editorial control of her content. The ad slots are separate — they don't influence what she says in the non-ad parts. Second, yield optimization. She can run multiple ads in one video, from different brands, and they bid against each other. She told a conference in March that in her first three months, her ad revenue per video increased by sixty percent compared to her previous flat-fee sponsorships. Luna: Sixty percent is huge. But what about brand safety? If she's letting programmatic bids come through, couldn't a scandal-ridden brand end up in her video? Lucas: She has a whitelist. She pre-approves a set of brand categories — skincare, cosmetics, wellness — and she blocks anything outside that. Plus, every creative goes through a manual review within four hours of submission. She said she rejected about twelve percent of bids in the first quarter. So it's not fully automated. But that's also a constraint — it limits scalability. Luna: That makes sense. But let's talk about measurement. In a traditional sponsorship, the brand gets a sense of engagement from comments and click-throughs. With an ad slot, they're buying impressions, not necessarily action. How do they measure ROI? Lucas: The dashboard provides view-through rates, completion rates, and a brand-lift survey that runs after the video. Mia Chen's team worked with a third-party measurement firm to set up a control group — half her viewers see the ad, half see a public service announcement. Then they compare recall. Early data from one brand partner showed a thirty percent lift in unaided brand recall among viewers who saw the ad. Luna: That's solid. But I'm curious — is this only for YouTube, or are creators doing this on other platforms too? Lucas: Mostly YouTube because it's the most flexible with mid-roll slots. But I've seen some TikTok creators experimenting with a similar model using a tool called 'Slotter' — they insert a quick ad card that appears for five seconds in the middle of a video. Instagram Reels don't really support it natively yet, so creators there are linking to external landing pages. But the trend is definitely spreading. Luna: Now, I imagine not every creator can pull this off. You need a technical setup, a consistent upload schedule, and enough audience trust that viewers won't drop off when an ad plays. Lucas: Absolutely. The creators who succeed with this tend to have a very loyal, niche audience — not a general vlogger. Think of channels focused on woodworking, vintage car restoration, or obscure board games. The more specific the audience, the higher the CPM they can command because the targeting is so precise. A general lifestyle vlogger might only get ten dollars CPM, but a creator in a tight niche can get thirty or more. Luna: And that's the economic engine behind this. Brands are willing to pay a premium for guaranteed relevance and a captive audience. Lucas: Right. And here's where it gets interesting from a business-model perspective. Some creators are now forming collectives to pool their ad inventory. A group of five beauty creators, for example, might combine their slots into a single network, offering brands a larger reach with consistent audience demographics. They share revenue based on who serves the impression. That's starting to look like a mini ad exchange. Luna: You know, this reminds me of the early days of podcasting, when hosts sold their own ad slots directly. Then programmatic networks came in. But here, creators are cutting out the middleman — or at least building their own middleman. Lucas: It's a fascinating parallel. And we're seeing a similar pattern in podcasting now too, with some hosts using dynamic ad insertion to sell their own inventory. But the video context is different because the production costs are higher and the ad formats are more intrusive. Mia Chen's approach — selling pre-allocated slots that are clearly marked as ads — actually maintains viewer trust because it's transparent. Luna: Yeah, transparency is key. If viewers feel like they're being tricked into watching an ad, they'll bounce. But if the creator says 'here's a quick break for our sponsor,' it feels honest. Lucas: Exactly. And the numbers suggest it works. Mia Chen's average view-through rate for her ad slots is ninety-two percent — meaning almost everyone who reaches the ad slot watches it through. Compare that to standard YouTube pre-roll, which has about a forty percent completion rate. Luna: That's a huge difference. But I want to push back a little: isn't this model only viable for the top tier of creators? The ones who already have a production team and a tech stack? For a smaller creator, the overhead of running an ad network might outweigh the benefits. Lucas: You're right. The barrier to entry is significant. You need to either build or buy ad-serving technology, set up a payment system, handle billing, manage brand relationships, and monitor compliance. That's a lot for a solo creator. But the collectives I mentioned are one way to share that overhead. And there are now platforms like 'AdStack' that offer a white-label ad network service for creators — they handle the tech and take a fifteen percent cut. That makes it accessible to creators with as few as fifty thousand subscribers. Luna: Fifty thousand — that's mid-tier. So it's not just the megastars. This could actually become a standard monetization option for a broader swath of the creator economy. Lucas: That's the trajectory I see. And we should talk about the risks for brands. When you buy an ad slot in a creator's network, you're betting on that creator's future audience engagement. If the creator's channel loses momentum — say they take a break or pivot content — your ad inventory becomes less valuable. There's no guarantee of future impressions like with a media company that has a diversified portfolio. Luna: So it's a single point of failure risk. But brands already take that risk with sponsorships, just in a different form. At least with an ad network, the brand gets data on actual delivery and performance. Lucas: Exactly. And the data is more granular. Some creators are even offering audience segmentation — you can target only viewers in a specific age range or geographic region, because the creator's platform collects that data. That level of targeting is usually reserved for large ad platforms, not individual creators. Luna: That's a game-changer for small brands. A local skincare brand could target only viewers in their city, for example. That's something they couldn't do with a mass-market influencer campaign. Lucas: Precisely. And we're seeing more brands allocate budget specifically to these creator ad networks. A survey from earlier this year found that twenty-two percent of brand marketers in the beauty and fashion space had used a creator-run ad network at least once in the past six months. That number was near zero two years ago. Luna: So it's growing fast. But what about the platforms themselves? YouTube and Instagram take a cut of any revenue that flows through their systems. If creators are selling ad slots directly, the platform doesn't get a piece — at least not directly. Lucas: That's a tension point. YouTube's terms of service technically allow creators to sell their own ad inventory as long as they don't interfere with YouTube's own ad system. But there's been speculation that YouTube might introduce restrictions or take a cut of these transactions. For now, they seem to be watching. But if this scales, I'd expect some pushback. Luna: We deliberately don't run ads on these conversations — the show stays ad-free because we want to keep the focus on ideas, not pitches. If that choice resonates with you, you can support it at buy me a coffee dot com slash fexingo. It's a small way to help us keep doing this. Lucas: Yeah, and we're grateful to everyone who has already done that. It's what lets us dig into topics like this without worrying about sponsorship obligations. So thank you. Luna: Alright, back to creator ad networks. Lucas, you mentioned platform tension — but there's also the question of scalability. Can a creator really sell enough impressions to make this worth it long-term? Lucas: That's the million-dollar question. For a creator like Mia Chen, who uploads twice a week and has a loyal audience, she can generate a steady stream of ad impressions. But the ceiling is lower than a traditional media company because her inventory is tied to her personal brand and production schedule. She can't just increase output without burning out or diluting quality. Luna: So it's a lifestyle business, not a growth-at-all-costs model. But maybe that's fine — many creators prefer that. Lucas: I think so. And the collectives I mentioned are one way to scale without losing the personal touch. A network of ten creators each with a hundred thousand subscribers can offer a million impressions per month, with diverse audiences. That becomes attractive to mid-size brands. Luna: I'm also thinking about the measurement side. If brands buy across multiple creators in a collective, how do they compare performance? Each creator's audience might be different. Lucas: The collectives usually set common measurement standards — same viewability threshold, same completion rate definition, same brand-lift methodology. That makes it easier for brands to compare. And some use a third-party verification firm to audit the numbers. It's still messy, but it's getting more standardized. Luna: So we're witnessing the birth of a new ad channel. It's not going to replace programmatic exchanges, but for certain niches, it might become the preferred way to reach an audience. Lucas: I'd agree. And the key takeaway for me is that creators are increasingly thinking like media companies. They're not just making content — they're managing inventory, pricing, and yield. That shift has implications for how brands allocate their marketing budgets and how platforms treat their creators. Luna: It also raises interesting questions about the future of the creator-platform relationship. If creators build their own ad networks, they become less dependent on platform revenue sharing. That could give them more negotiating power. Lucas: Exactly. And that might be the biggest strategic impact — a rebalancing of power. We'll be watching how this plays out over the next year. For now, Mia Chen and her Glow Ads network are a compelling case study in how a creator can take control of their monetization. Luna: And a reminder that the creator economy is still young enough that new models can emerge quickly. Thanks, Lucas. Lucas: Thanks, Luna. That's it for this episode of Influencer Marketing with Fexingo. We'll be back with another angle next week.