Latest / The Retention Marketing Podcast with Fexingo: Email, SMS, and Loyalty for Repeat Customers / How One Brand Uses Referral Programs to Triple Repeat Rate
Transcript
- Lucas: So we talk a lot on this show about keeping the customers you already have — email flows, SMS nudges, loyalty tiers. But there's one retention channel that actually pulls double duty: it brings in new customers and makes existing ones more likely to buy again. Luna: You're talking about referral programs, right? Where a customer gets a discount for sending a friend, and the friend gets something too. Lucas: Exactly. And I want to look at a specific case — a DTC luggage brand. They launched back in 2019, got a decent initial wave from influencer marketing, but by 2023 their repeat purchase rate was sitting around 12 percent. Not terrible for luggage, where people don't buy every month, but they knew they were leaving money on the table. Luna: Twelve percent repeat rate in luggage is actually above average for the category. So they had a solid base to work with. Lucas: Right. But they wanted to push that number higher without just running more discount emails. So they redesigned their referral program. Previously it was a simple 'give $20, get $20' thing — very standard. But they realized that approach didn't create any sense of progression or loyalty. Luna: So what did they change? Lucas: They introduced a tiered referral system. Instead of a flat one-time reward, the referrer gets escalating perks the more people they bring in. First referral gets you 20 percent off your next purchase. Second referral gets you 30 percent off plus early access to new collections. Third referral unlocks a free accessory — like a travel pouch — plus a dedicated customer service line. Luna: Wait — a dedicated customer service line? That's interesting. They're treating high-value referrers almost like VIPs. Lucas: Exactly. And it worked. Within six months, their repeat purchase rate among referred customers hit 17 percent. That's a 40 percent improvement. But here's the kicker: the referred customers themselves had a higher repeat rate than customers who came through paid ads. Luna: That makes sense from a social proof angle. If your friend recommends a brand, you're starting with a higher baseline of trust. You're not coming in cold. Lucas: Right. And the brand leaned into that. They started sending a welcome email to referred customers that included a note from the referrer — just a short line like 'Hey, I love this bag and thought you would too.' It was opt-in, so the referrer had to agree, but the open rate on those emails was over 70 percent. Luna: That's huge. What about the SMS side? Did they use text to promote the referral program? Lucas: They did, but carefully. They sent a single SMS to customers who had made two or more purchases, with a link to their referral dashboard. The message was something like, 'You've been one of our best customers — share the love and earn perks.' The click-through rate was around 12 percent, which is solid for an SMS campaign. Luna: I wonder if there's a risk of referral fatigue, though. If every brand you buy from asks you to refer friends, it can feel spammy. Lucas: That's a real concern. The luggage brand handled it by only promoting the referral program in the post-purchase thank-you flow, and only to customers who had already received their order and had a chance to love the product. They also capped the number of referral requests — no more than one per quarter per customer. Luna: So they're respecting the customer's attention. That's smart. And it probably makes the ask feel more genuine. Lucas: Exactly. And they tied the referral data back into their retention analytics. They started tracking customer lifetime value segmented by acquisition channel, and found that referred customers had a 25 percent higher lifetime value after twelve months compared to customers from Instagram ads. That's a massive difference. Luna: So the referral program isn't just a growth tool — it's a retention tool. Because the act of referring makes the referrer feel more invested in the brand. Lucas: That's the key insight. There's some research from the Journal of Marketing that shows referrers actually become more loyal after they refer someone. It's a psychological effect — you're publicly endorsing a brand, so you're more likely to keep buying from it to maintain consistency. Luna: So it's like a self-reinforcing loop. The more you refer, the more loyal you become, and the more likely you are to refer again. Lucas: Right. And the luggage brand measured that. Customers who referred at least one person had a repeat purchase rate of 22 percent — nearly double the baseline. Luna: That's a pretty compelling case. If these marketing conversations have sparked something you've actually used in your own strategy, honestly, if today's episode was worth a coffee to you, that's the link — buy me a coffee dot com slash fexingo. Lucas: Yeah, listener support is what keeps this show ad-free and focused on real cases. And we really appreciate it. Luna: Alright, back to the luggage brand — you mentioned they integrated referral data into their email flows. How did that work practically? Lucas: Good question. They set up a segment in their email platform for customers who had referred someone, and they sent them a different post-purchase sequence. Instead of the standard 'thanks for your order' flow, these customers got a 'you're a brand advocate' flow that included early access to new products and a reminder of their referral perks. Luna: So they're basically rewarding the behavior that they want to see more of. That's classic operant conditioning, but applied to marketing. Lucas: Exactly. And the results were clear. The advocate flow had a click to open rate that was 40 percent higher than their standard post-purchase flow. Customers in that segment also spent 30 percent more on average per order. Luna: That's a huge lift. But I want to ask about the downside — did they see any increase in cancellations or returns from referred customers? Sometimes referred customers can be less committed if they're just using a discount. Lucas: They tracked that. Return rates for referred customers were actually 2 percent lower than the average. And cart abandonment for referred customers was also lower — about 5 percentage points less. The theory is that because the referral comes with a personal recommendation, the customer has a clearer expectation of the product. Luna: That makes sense. There's less cognitive dissonance when you're buying something a friend already vouched for. Lucas: Exactly. And the brand took it a step further. They started using referral data to trigger personalized SMS messages. For example, if a referred customer hadn't purchased within 60 days, they'd get a text from the referrer — again, with permission — saying something like 'Hey, I'm still loving my bag. Any questions?' Luna: That's brilliant. It's a human touch, not just a marketing automation. Lucas: Right. And it worked. The reactivation rate from those SMS messages was 18 percent, compared to their standard win-back SMS which was around 8 percent. Luna: So the key takeaway for me is that referral programs, when done thoughtfully, aren't just about acquiring new customers — they're a way to deepen the relationship with your existing ones. Lucas: Exactly. And the data from this luggage brand shows that a well-structured, tiered program with integrated email and SMS can boost repeat rates by 40 percent and lifetime value by 25 percent. That's not a vanity metric — that's real revenue. Luna: I think the lesson for marketers is to treat referral programs as a retention channel first, and an acquisition channel second. The design should reward the referrer in a way that builds loyalty, not just hands them a coupon. Lucas: Exactly. And that's where most brands get it wrong — they set up a one-off referral bonus and forget about it. The brands that win are the ones that build a system around it.