Latest / The DTC Marketing Podcast with Fexingo: Direct-to-Consumer Brands, Shopify, and E-Commerce Growth / How DTC Brands Use Affiliate Influencer Networks to Scale
Transcript
- Lucas: You know that moment when a DTC brand starts scaling and suddenly their customer acquisition cost on Meta just skyrockets? Luna: Yeah, that's usually when the panic sets in. Or when they start looking for alternatives. Lucas: Right. And one of the most effective alternatives I've seen is building an affiliate network with micro-influencers. Not the big splashy celebrity posts, but a scalable program where hundreds or thousands of smaller creators earn a commission on every sale they drive. Luna: So essentially turning influencers into a sales force. But without the fixed salary. Lucas: Exactly. You're paying for performance. And a great example is Brooklinen. The bedding and home goods brand launched in 2014, and by 2020 they were doing over $50 million in revenue. A big chunk of that came from their affiliate program, which at its peak had over 15,000 affiliates. Luna: Fifteen thousand? That's not a program, that's a small army. Lucas: It is. And most of those affiliates weren't huge influencers. They were interior design bloggers, home decor accounts with 5,000 to 50,000 followers, and even happy customers who just wanted to share a discount code. Brooklinen offers a 10% commission on every sale, plus a 10% discount for the affiliate's audience. Luna: So 10% commission. That's pretty standard. I've seen some brands go up to 20 or even 30% for high-margin products. Lucas: Yeah, it varies by category. For apparel, 10 to 15% is typical. For digital products or subscription boxes, it can be higher because there's no shipping cost. But the key is that the brand only pays when a sale happens. There's no upfront fee, no guaranteed payment. So your CAC becomes directly tied to your average order value. Luna: And that's a huge shift from paid social, where you're paying for clicks or impressions whether or not they convert. Lucas: Right. With paid ads, you might spend $50 to acquire a customer. With affiliates, you're spending 10% of a $100 order — so $10. But you have to factor in the discount they offer, which could be another 10 or 15%. So your true cost might be $20 to $25 per sale. Still often cheaper than paid social. Luna: But you need volume. A single affiliate might only generate a few sales a month. So you need a lot of them to make a dent. Lucas: Exactly. And that's why the platforms matter. Brands typically use networks like Refersion or Impact to manage affiliates. They handle tracking, payouts, and fraud detection. Refersion, for example, charges a monthly fee plus a small percentage of sales. But for a brand doing $1 million in affiliate revenue, that's a tiny cost. Luna: What about fraud? I've heard stories of affiliates using coupon sites or cookie stuffing to claim sales they didn't really earn. Lucas: It's a real issue. Some affiliates will post a coupon code on a deal site and then claim commission when someone uses it. Brands can set rules — like only paying commission on first-time customers, or excluding certain discount codes. Platforms like Impact have ai powered fraud detection that flags unusual patterns. Luna: So you're basically running a sales channel that needs constant monitoring. But the upside is that it's highly scalable once you have the infrastructure. Lucas: Absolutely. And some brands are taking it a step further by turning their own customers into affiliates. That's the customer referral program model. Instead of just giving a one-time discount for referring a friend, they give a commission on every purchase that person makes for a certain period. Luna: That's like a lifetime commission? Or just a limited window? Lucas: Usually a limited window — 30 days or 90 days. But it incentivizes the customer to keep promoting the brand. I've seen DTC pet food brands do this really well. A customer shares a unique link, and if someone buys through it, they get 15% of that first order, plus 10% of the next three months of subscription purchases. Luna: That's smart because pet food is a repeat purchase. The lifetime value is high, so sharing that commission makes sense. Lucas: Exactly. And this ties back to a broader trend I'm seeing: brands are moving away from one-off influencer posts and toward ongoing affiliate relationships. Instead of paying a flat fee for a single Instagram story, they're saying, 'We'll give you a commission on every sale you generate over the next year.' Luna: That aligns incentives better. The influencer only gets paid if they actually drive sales, and they have a reason to keep promoting the brand. Lucas: And the brand gets a lower upfront cost and a longer tail of revenue. I talked to the founder of a skincare brand recently who said their affiliate program now accounts for 40% of their overall revenue. They have about 2,000 active affiliates, and the top 100 generate 80% of that affiliate revenue. Luna: So there's a power law at play. A small number of affiliates do most of the work. Lucas: Yeah, and those top affiliates are worth cultivating. Some brands give them exclusive discount codes, early access to new products, even higher commission rates. It becomes a partnership, not just a transactional relationship. Luna: Let me push back a little. Does this work for every DTC category? I mean, if you're selling a low-ticket item like a $10 candle, a 15% commission is only $1.50. That's not going to motivate an affiliate. Lucas: That's a fair point. Low average order value categories struggle with affiliate marketing because the commission per sale is too small. You'd need massive volume. But there are workarounds. Some brands bundle products together to increase the order value, or they offer a commission on the lifetime value of the customer instead of just the first purchase. Luna: So a subscription or a high-repeat purchase model makes affiliates more viable. Lucas: Right. Categories like home goods, fashion, beauty, pet supplies, and supplements tend to work well because the order values are decent and customers often repurchase. For low-cost items, you might need to rely more on volume from a very large affiliate network. Luna: What about the tech side? How easy is it to set up an affiliate program for a small DTC brand? Lucas: It's surprisingly easy now. Shopify has native affiliate tracking apps like Refersion, LeadDyno, and UpPromote. You can get a basic program running in an afternoon. The hard part is recruiting affiliates. You need to find creators who actually align with your brand and have an engaged audience. Luna: And you need to give them something to work with. Good creatives, clear messaging, maybe a sample product. Lucas: Yeah, that's part of the investment. Some brands send a free product to every new affiliate. Others provide a swipe file of social media posts and email templates. The more you support them, the more likely they are to actually promote. Luna: So it's not completely passive. You have to manage relationships. Lucas: Absolutely. But compared to running paid ads, the ROI can be much better over the long term. And as AI tools improve, some of that management is becoming automated. There are now platforms that use AI to match brands with potential affiliates based on audience demographics and content style. Luna: Before we go too far down that road — and I want to hear more about AI in a second — I want to mention something that ties into all of this. A handful of listeners chip in monthly through buy me a coffee dot com slash fexingo, and that's literally what funds making shows like this. It's listener-supported, no ads, no sponsors. So if these marketing deep dives have given you something you've actually used, that's a direct way to keep them coming. Lucas: Yeah, it's a small group that makes this possible, and we appreciate it every time. It means we can keep the conversation honest and focused on what actually works. So thank you to those who do. Luna: Okay, back to AI. You mentioned AI matching brands with affiliates. How does that actually work? Lucas: Some platforms like Impact and Partnerize are using machine learning to analyze an influencer's content, engagement rates, and audience overlap with a brand's target market. Instead of manually searching hashtags, the algorithm suggests a shortlist of affiliates who are likely to convert. Early data shows that brands using ai driven recruitment see about 30% higher affiliate conversion rates. Luna: That makes sense. You're not just guessing anymore. You're using data to predict who will actually sell. Lucas: Exactly. And there's also AI for fraud detection, which I mentioned earlier. It can flag affiliates who are using bots or fake traffic. One study I saw said affiliate fraud costs brands about 10% of their program spend on average. So cutting that down is a big win. Luna: So we're moving toward a world where affiliate marketing becomes more efficient, more data-driven, and more automated. Lucas: Right. But the human side still matters. The best affiliate relationships I've seen are built on trust and genuine enthusiasm for the product. AI can help with matching and monitoring, but it can't replace the authentic connection a micro-influencer has with their audience. Luna: So it's a blend. Tech to scale, but humans to connect. That feels like a good place to land.