Latest / The DTC Marketing Podcast with Fexingo: Direct-to-Consumer Brands, Shopify, and E-Commerce Growth / How DTC Brands Use Zero-Party Data for Retention
Transcript
- Lucas: So there is this term that keeps popping up in DTC strategy meetings and it gets thrown around often enough that I think it deserves its own episode. Luna: Zero-party data? Lucas: Exactly. And I want to be clear from the start — zero-party data is not the same as first-party data. First-party data is what you observe: purchase history, browsing behavior, email opens. Zero-party data is what the customer deliberately tells you. Their preferences, their intentions, their favorite color. Luna: It's the difference between watching someone put a red shirt in their cart versus them telling you, 'I prefer red over blue.' Lucas: Right. And that distinction matters because in a privacy-first world where third-party cookies are disappearing and Apple's App Tracking Transparency has already crushed retargeting, zero-party data is this goldmine that doesn't trigger the same privacy anxiety. The customer handed it to you willingly. Luna: But how many DTC brands are actually collecting it well? I feel like most still rely on passive tracking. Lucas: The ones that do it well make it a core part of the experience. Let's start with quizzes. You've seen them everywhere — skincare brands especially. You land on the site, there's a 'Find Your Routine' quiz. It asks about skin type, goals, concerns. That's zero-party data. Luna: Curology is the canonical example here. Their entire onboarding is a consultation — they ask about acne, dryness, age, even your current products. It feels clinical and helpful, not data-harvesting. Lucas: Exactly. And Curology uses that to formulate a personalized prescription. But the data also feeds their retention engine. Because they know your skin type and goals, they can recommend new products when seasons change or when you've been on a formula for three months. The customer feels understood, not tracked. Luna: And the quiz itself is a conversion tool. People who take the quiz are way more likely to buy because they've already invested time and they get a tailored recommendation. Lucas: Right. So the first tactic is the interactive quiz. The second major tactic is the preference center. Not just an opt-in page for emails — a real preference center where you tell the brand what you want, how often, about what topics. Luna: Stitch Fix built their whole model on this. The style profile is a detailed preference center — fit, budget, occasion, brands you like or dislike. And they update it regularly. Lucas: And that's the key. Zero-party data isn't a one-time thing. It decays. People's preferences change — they get a new job, move to a different climate, their style evolves. The best brands prompt refreshing. Stitch Fix sends a 'Style Check' every few months. It keeps the data current and it re-engages the customer. Luna: What about post-purchase? That's where I think most brands drop the ball. Lucas: Huge opportunity. Post-purchase surveys are a classic zero-party data tool. But most brands ask 'How was your experience?' on a scale of one to ten. That's not very actionable. The DTC brands doing it well ask specific questions about fit, usage, and intent to repurchase. Luna: Allbirds does a good job with this. After you buy shoes, they ask how the sizing was, what you'll use them for, whether you have other pairs. That feeds their recommendation engine and helps with inventory planning. Lucas: And it builds a profile over time. If you buy three pairs of running shoes from Allbirds, they can infer you're a runner. They might recommend their performance line or send you content about marathon training. That's personalization driven by stated preferences, not guesses. Luna: There's also a compliance angle here that I think is underappreciated. Zero-party data is inherently gdpr friendly because consent is explicit. You're not relying on implied consent or legitimate interest. Lucas: Yeah, that's a big deal. In Europe especially, regulators are cracking down on dark patterns — you know, those tricky cookie banners where it's easier to accept than reject. Zero-party data sidesteps that entirely. The customer proactively gives you information in exchange for a clear value proposition: a better recommendation, a personalized experience, a discount. Luna: And that transaction — data for value — is what makes it feel fair. The problem with third-party data is that the customer never consented to be tracked across the web. With zero-party data, they know exactly what they're giving and why. Lucas: Let's talk numbers. A study from Segment a couple years back found that forty-nine percent of consumers have made impulse purchases after receiving a personalized recommendation. And seventy-four percent feel frustrated when website content is not personalized. Zero-party data is the fuel for that personalization. Luna: But there's a catch. If you collect zero-party data and then don't use it — or worse, use it in ways the customer didn't expect — you break trust. I've seen brands ask for preferences and then ignore them. That's worse than not asking at all. Lucas: Absolutely. The expectation is that if I tell you I'm a vegetarian, don't send me a steakhouse promotion. That sounds obvious, but it happens. The data has to flow into your personalization engine and your CRM in a way that's actually operationalized. Otherwise, you're just hoarding data. Luna: So what's the minimum viable approach for a small DTC brand on Shopify? They don't have Curology's engineering team. Lucas: Start simple. One post-purchase survey with three questions: 'How did you hear about us?', 'What will you use this product for?', 'What other products interest you?' That's three pieces of zero-party data per customer. Over time, that builds a profile. You can use Shopify's metafields or a simple app like Octane AI or Gorgias to capture it. Luna: And follow up. If someone says they're interested in a related product, send them an email about that product a week later. That's the payoff — you're honoring the data they gave you. Lucas: Exactly. And I think we're going to see more zero-party data collection embedded into the product experience itself. Not just quizzes and surveys, but interactive configurators, style profiles, even ai powered chatbots that ask questions conversationally and store the answers in the customer profile. Luna: The brands that do this well will have a massive advantage when cookies are fully deprecated. They'll know their customers because their customers told them who they are. Lucas: And that feels better for everyone. On that note — if these marketing conversations have sparked something you've actually used, like maybe you tried a quiz on your own store or set up a preference center, you might want to support the show. Luna: Yeah, we keep it ad-free and listener-supported, so if you find value in these episodes, you can toss a few bucks into the digital tip jar. Lucas: It's buy me a coffee dot com slash fexingo. No pressure, just helps us keep the lights on and the mic open. Luna: Alright, back to the data. One more tactic I want to highlight: user-generated content with explicit permission. When a customer uploads a photo of themselves using your product, that's zero-party data about their usage context. Lucas: Good point. And if you ask them for permission to feature it, you're also getting consent — which is the whole ethos. Brands like Gymshark have built entire campaigns around customer photos with explicit opt-in. Luna: So to tie it together: zero-party data is about asking, not observing. It builds trust, improves personalization, and future-proofs your marketing against privacy regulation. Lucas: And the bar to start is lower than most people think. One quiz, one survey, one preference center. That's enough to begin the flywheel. Luna: Next episode, I want to talk about how to store and activate that data — the tech stack side. Lucas: Perfect. We'll map it out. Thanks for listening, and we'll catch you next time.