Latest / The DTC Marketing Podcast with Fexingo: Direct-to-Consumer Brands, Shopify, and E-Commerce Growth / How DTC Brands Win With Post-Purchase Upsells
Transcript
- Lucas: If these marketing conversations have sparked something you've actually used, or even just made you look at your own funnel differently, we want to hear from you. But before we dive into today’s deep dive on what happens after the credit card swipe, let me ask: are you supporting us? A couple of dollars a month is genuinely what keeps these going — buy me a coffee dot com slash fexingo, if you've gotten something out of them. Luna: Yeah, it really does help keep the lights on for this kind of detailed analysis. And speaking of keeping things running smoothly, I’ve been thinking about that moment right after someone buys. Lucas: Right. That split second where the brain is still high on the dopamine hit of the purchase, but hasn’t yet crashed back into reality. Most brands treat that as a dead zone. They send a confirmation email, maybe a tracking link, and then go silent until the package arrives. But that silence is expensive. Luna: It feels like wasted real estate. You’ve just paid full price for the customer’s attention, and then you leave the door wide open. Lucas: Exactly. Let’s look at a concrete example. There’s a mid-sized direct to consumer skincare brand we’ve been tracking. They sell a cleanser and a moisturizer as their core duo. On paper, their acquisition cost is fine. Their retention is decent. But their average order value was stuck at around eighty-five dollars. They were leaving money on the table because they treated the second item as an add-on in the cart, not as a strategic pivot point. Luna: So they weren’t leveraging the momentum of the initial buy? Lucas: They were fighting against it. When customers are building a cart, they’re calculating risk. Will this work for my skin type? Is it too expensive? But once they’ve clicked pay, that risk calculation resets. They feel accomplished. They feel smart for making a choice. That’s the psychological sweet spot. This brand changed their checkout flow to present a one-time, one-click offer for a travel-size version of their best-selling serum immediately after payment. Luna: A travel size? That seems low stakes enough to not feel like a hard sell. Lucas: Precisely. It wasn’t a full bottle. It was twelve dollars. And it was framed not as a product, but as a convenience. Try the new formula while you wait for your main shipment. Because it was post-purchase, they didn’t need to show shipping calculations again. It just added twelve dollars to the final total. No extra clicks, no new form fields. The conversion rate on that specific screen jumped to fourteen percent. Luna: Fourteen percent of all buyers adding twelve dollars? That’s significant revenue lift with almost zero additional marketing spend. Lucas: It’s pure margin expansion. Think about it. Their customer acquisition cost was already sunk. Shipping the travel size is negligible compared to the full bottle. So nearly every dollar that comes through that upsell is profit. They increased their overall average order value by about six dollars per transaction, which sounds small until you scale it to thousands of orders a week. Luna: But doesn’t it feel risky to interrupt the celebration of the purchase? What if the customer feels annoyed? Lucas: That’s the common fear. People worry about friction. But here’s the thing: friction only happens if the offer feels irrelevant or difficult. If the offer is easy, relevant, and timed correctly, it feels like a service. It’s like when you’re at a restaurant and the waiter asks, would you like to add dessert? If it’s a good question, you say yes. If they push a weird specialty item you don’t care about, you say no. Context matters. Luna: So the relevance has to be baked into the data. You can’t just throw any random product at them. Lucas: You absolutely cannot. This is where many brands fail. They use generic cross-sells. Someone buys running shoes, and the system offers a yoga mat. That’s lazy data usage. The skincare brand we talked about? They looked at purchase history. If you bought the hydrating cleanser, the upsell was the hydrating serum. If you bought the exfoliating toner, the upsell was the gentle moisturizer. It matched the user’s explicit intent. Luna: It’s basically predictive personalization happening in real-time. It requires a lot of backend logic though. Is that accessible for smaller brands? Lucas: Not necessarily complex logic. Even basic rules work. If you’re selling coffee, offer filters. If you’re selling tent, offer stakes. The sophistication level depends on your inventory depth. But the principle is universal: reduce cognitive load. Make the decision binary. Yes or no. Don’t make them navigate away from the success page. Luna: I remember reading about a software company that did something similar. Not physical goods, but digital services. Lucas: Right. SaaS companies are masters of this. They call it expansion revenue. But for e-commerce, it’s trickier because of logistics. You have to think about shipping costs. If you upsell a heavy item, does it trigger a surcharge? That kills conversion instantly. The skincare brand avoided this by keeping the upsell light. Low weight, low complexity. Luna: So operational constraints dictate the creative strategy. You can’t just optimize for psychology; you have to optimize for the warehouse. Lucas: Exactly. You need a unified view of customer experience and supply chain. Too often, marketing teams design the perfect upsell flow, and operations teams reject it because it complicates packing. Or vice versa. The brands winning right now are breaking down those silos. They’re designing the checkout experience as a single unit. Luna: It reminds me of how airlines do it. You book a flight, and right there, they offer upgrade options. Seat selection, baggage, insurance. It’s seamless because it’s part of the same transaction. Lucas: Yes, and notice they don’t make you create a new account. They don’t make you re-enter your credit card. It’s all integrated. That’s the gold standard. Frictionless integration. The barrier to saying no is higher than the barrier to saying yes. Luna: What about the downside? Are there cases where it backfires badly? Lucas: It backfires when it feels manipulative. If the offer is significantly more expensive than the main item, or if it’s clearly a scammy bundle, trust erodes. Also, frequency matters. If every single order gets an upsell attempt, customers get fatigued. Some brands rotate offers. Only one in five orders sees the premium upsell. That preserves the novelty and keeps the conversion rate healthy over time. Luna: So it’s a tool in the kit, not the whole kit. Used selectively. Lucas: Used selectively and intelligently. And it ties back to data privacy. Since we’re talking about matching products to intents, you need good first-party data. You can’t do personalized upsells if you’re guessing who your customer is. This reinforces why building those direct relationships is so critical for long-term health. Luna: It’s another reason why relying solely on marketplaces is dangerous. You lose that granular behavioral data. Lucas: Completely. On Amazon, you see the sale, but you don’t see the journey. You don’t know if they hesitated, or if they scrolled past three other options. In your own store, you see everything. That visibility allows for this kind of precision targeting. Luna: I’m curious about the testing side. How do you know if an upsell is working beyond just the conversion rate? Lucas: You have to look at return rates and support tickets. Sometimes an upsell converts well initially, but leads to higher returns later because the customer felt pressured. If your upsell items have a twenty percent return rate compared to ten percent for core items, it’s hurting your bottom line despite the initial spike. Net profit is the only metric that matters. Luna: So it’s not just about top-line revenue. It’s about quality of revenue. Lucas: Quality of revenue. Exactly. You want happy customers who buy more because they love the brand, not because they were tricked into a impulse buy they regret. That distinction defines sustainable growth versus short-term gambling. Luna: This makes me rethink how I view the checkout page. It’s not the end of the sale. It’s the beginning of the relationship. Lucas: That’s the mindset shift. Treat checkout as a conversation starter, not a transactional checkpoint. When you respect the customer’s intelligence, they reward you with loyalty and higher lifetime value. Luna: Do you think this trend will become standard across all industries, or will some niches resist it? Lucas: High-ticket items might resist it more. Buying a car or a house, the decision cycle is longer. But for everyday consumer goods, I think it will become the baseline expectation. If you don’t offer a convenient way to enhance your order, a competitor who does will steal that margin. Luna: It’s interesting how much of modern marketing is just removing obstacles rather than adding noise. Lucas: Removing obstacles and adding value. Those two things are inseparable when done right. The brands that master this won’t just survive the next quarter; they’ll define the category.