Latest / The DTC Marketing Podcast with Fexingo: Direct-to-Consumer Brands, Shopify, and E-Commerce Growth / How DTC Brands Profit from Customer Data Portability
Transcript
- Lucas: So earlier this week I was poking around the account settings on Beauty Pie, the membership-based beauty brand, and I noticed something I hadn't seen before. Luna: What was it? Lucas: Right at the bottom of their 'My Account' page, there's a button labeled 'Download My Data'. I clicked it, and within about thirty seconds I got a zip file containing my full purchase history, my skin profile, my product preferences, even the notes I'd left on past reviews. Luna: That's a lot of data. Most brands would guard that stuff jealously. Lucas: Exactly. And that's what makes it interesting. Most DTC brands treat customer data like a proprietary asset — they hoard it, they monetise it, they definitely don't make it easy to export. But a small but growing number of brands are doing the opposite. They're making customer data portable, and they're using that transparency as a marketing and retention tool. Luna: So the idea is: if you let customers take their data with them, they trust you more and maybe stick around longer? Lucas: That's the thesis. And there's actually some data behind it. A 2024 survey from the Consumer Data Initiative found that 67 percent of online shoppers said they would be more likely to trust a brand that offered a one-click data export tool. And 44 percent said they'd actually share more data with that brand voluntarily. Luna: Wait — so by giving them the keys to leave, you actually get them to share more? Lucas: It sounds counterintuitive, but it maps to something called the 'privacy paradox reversal'. When people feel they have control over their data, they're less guarded. They stop treating every data request as a potential trap. And that openness lets you build richer profiles — which, if you're a DTC brand, means better personalisation, better recommendations, better retention. Luna: I want to dig into Beauty Pie as a case study. How did they actually implement this? Lucas: So Beauty Pie is a subscription-based membership model — you pay a monthly fee to access wholesale prices on beauty products. Their entire value prop is about transparency: they publish the actual cost of every product next to the retail price. So the data portability feature fits their brand DNA. Luna: It's consistent. They're already saying 'we have nothing to hide' on pricing. Why not on data too? Lucas: Exactly. Their export tool goes beyond what most brands offer. It includes not just order history, but also the ingredient preferences you've set — like 'I avoid parabens' — your skin type, your shade matches, your past quiz answers. It's structured as a CSV and a JSON file, so another brand could theoretically import it. Luna: That's the part that's really bold. They're essentially saying 'here's the playbook on how to serve our customers better'. That could backfire if someone takes that data to a competitor. Lucas: It could. And Beauty Pie's CEO, Marcia Kilgore, has acknowledged that risk. But she argues that the trust dividend outweighs the switching risk. And so far, the numbers back her up. Beauty Pie's net promoter score is around 72, which is exceptionally high for DTC. Their churn rate is under 5 percent monthly, which for a subscription brand is really good. Luna: So the data export feature might actually be reinforcing loyalty, not eroding it. Lucas: That's the hypothesis. And it's not just Beauty Pie. There are a handful of other DTC brands experimenting with this. The luggage brand Away, for example, has a 'travel profile' that stores your airline preferences and seat choices, and you can export it. The mattress brand Purple lets you download your sleep study data from their smart bed sensor. Luna: But aren't they also doing this because they have to? GDPR in Europe and CPRA in California already give consumers the right to data portability. Lucas: They are. Under GDPR Article 20, consumers have the right to receive their personal data in a 'structured, commonly used, machine-readable format' and to transmit that data to another controller. CPRA has a similar provision. So for any brand selling into the EU or California, this isn't optional — it's the law. Luna: So the smart DTC brands are turning a compliance obligation into a marketing differentiator. Lucas: Bingo. Most brands treat data portability as a checkbox — they bury the export link in a privacy policy footer and make you jump through hoops to actually get your data. But the brands I'm talking about put it front and centre, they make it fast, and they frame it as a feature. Luna: Let's talk about the implementation side. What does it actually take to build a data export tool? Lucas: It's not trivial, but it's also not as hard as you'd think. Most modern ecommerce platforms — Shopify, BigCommerce, Magento — have APIs that let you pull customer data. The challenge is structuring it in a way that's useful. A raw CSV dump of order IDs isn't helpful. You need to include the semantic data — the preferences, the profiles, the context. Luna: And you need to think about what data to include. Too much, and you overwhelm the customer. Too little, and it feels like a PR stunt. Lucas: Right. Beauty Pie landed on a good balance: they give you your purchase history, your product ratings, your saved quizzes, and your communication preferences. They explicitly exclude internal notes and analytics data that isn't 'yours' in a meaningful sense. And they complete the export within 48 hours, often much faster. Luna: Forty-eight hours is the legal maximum under GDPR, right? Some brands take the full forty-eight and make you wait. Lucas: They do. And that delay sends a signal. If you request your data from a brand and it shows up in two hours, you think 'they're on top of it'. If it takes two days, you think 'they're dragging their feet'. So speed is part of the trust-building. Luna: So if I'm a DTC brand manager listening right now, what's the one thing I should do this week? Lucas: Audit your account dashboard. Find out if customers can actually get their data out easily. If they can't, that's a compliance risk and a missed trust opportunity. Then add a 'Download My Data' button — even if it starts as a manual process triggered by an email request. The act of putting it there changes the conversation. Luna: And if you really want to lean into it, you could do what a brand called Public Rec did. They sent an email to customers saying 'We've made all your fit and purchase data available for download. No tricks. Here's the link.' The open rate on that email was something like 45 percent. Lucas: That's a great example. Because that email wasn't a sales pitch — it was a service. And it generated goodwill that translated into future purchases. Public Rec said customers who downloaded their data had a 30 percent higher lifetime value over the next six months. Luna: So data portability isn't just a regulatory checkbox. It's a retention lever. Lucas: And it's a competitive moat. Because once you've built that trust, it's hard for a competitor to replicate. They can copy your product, but they can't copy the relationship. Luna: Speaking of relationships — you know, it's funny, this whole conversation about trust and transparency is exactly why we keep this podcast ad-free. Lucas: It is. We don't run ads because we want you to trust that we're giving you our honest take, not a sponsored opinion. If these episodes have helped you think differently about marketing, you can support that mission at buy me a coffee dot com slash fexingo. Luna: Even a small contribution helps us stay independent and keep digging into topics like this one. No pressure, just if it's valuable to you. Lucas: Alright, back to data portability. One more angle I want to touch on: the competitive dynamics. What happens when an entire category adopts data portability? Luna: It could commoditise the data layer, right? If every beauty brand lets you export your skin profile, then the switching cost drops to zero. Lucas: Exactly. And that's actually good for the consumer — but it means brands have to compete on something other than data lock-in. They have to compete on experience, on product quality, on community. That's a healthier dynamic. Luna: It also puts pressure on brands that have been coasting on mediocre products but great data moats. Lucas: Right. The mattress industry is a good example. For years, brands like Casper and Purple built profiles on your sleep habits. If you wanted to switch, you had to start from scratch. Now, with portable sleep data, you can bring your profile to a competitor. So the brand that wins is the one that offers the best mattress, not the best data jail. Luna: Are there any risks to this strategy? I mean, besides the obvious one of enabling switching. Lucas: There are a few. One is data security — if you're offering a download button, you need to make sure the authentication is robust. You don't want someone else downloading a customer's data. Beauty Pie uses two-factor authentication for the export request. Luna: So you need to invest in security infrastructure. Lucas: Yes. And another risk is that customers might not understand what they're downloading. If you give them a CSV file with fifty columns, they might get confused and blame you for being complicated. So you need to provide a clear explanation, maybe a video or a guide. Luna: But the bigger picture is that this is happening whether brands like it or not. Regulation is pushing in this direction. The EU's Data Act, which came into force in 2024, goes even further than GDPR — it requires companies to make data generated by connected products portable in real time. Lucas: That's a huge deal. For DTC brands selling smart products — smart beds, smart scales, smart kitchen appliances — they'll need to provide continuous data streams to the customer. That's a much bigger engineering lift than a one-time CSV download. Luna: So the early adopters like Beauty Pie are essentially future-proofing their operations. Lucas: Exactly. They're building the muscle now, when the stakes are low, so that when regulation tightens, they're already compliant — and they've already earned the trust benefit. Luna: I'm curious if there's any evidence that data portability directly drives new customer acquisition. I can see how it helps retention, but does it bring people in? Lucas: There's some early evidence. Beauty Pie ran a campaign where they let non-members download a sample of their data — basically a 'see what you'd get' preview. It was a lead magnet. Conversion rates on that campaign were 12 percent, which is high for a free trial offer. Luna: So they're using the data export itself as a marketing asset. Lucas: Yeah. The message is: 'We're so confident in our service that we'll give you the blueprint to leave. And you'll see how good it is and stay.' It's a bold claim, but it works. Luna: Alright, let's wrap with the actionable takeaway. For a DTC brand with maybe a few thousand customers, what's the minimum viable version of this? Lucas: Start with a simple CSV export of order history and customer profile fields. Put it behind a one-click button in the account dashboard. Make sure it works within an hour. Then tell your customers it exists — send an email, put it in your welcome flow. Measure whether those customers engage more. I bet they will. Luna: And if you're feeling really ambitious, structure the data in a way that a competitor could actually use it. That's the trust signal that separates a checkbox from a differentiator. Lucas: Exactly. Data portability is the new transparency. And in a DTC world where trust is the only real moat, it might be the smartest investment you can make.