Latest / Marketing Made Simple with Fexingo: Branding, SEO, and Digital Strategy for Beginners / How NPS Scores Drive Customer Retention
Transcript
- Lucas: So we get a lot of questions from listeners about how to actually measure customer loyalty in a way that predicts whether people will stick around or quietly leave. Luna: And the most common answer marketers reach for is Net Promoter Score. But is it really as predictive as people think? Lucas: That's exactly the question. NPS got huge because it's simple — one question, 'How likely are you to recommend us?' on a zero to ten scale. But the real power isn't in the number itself; it's in what you do with the follow-up. Luna: And the data from it. So let's talk about how NPS ties directly to retention. Lucas: Right. And before we dive in, quick note: these episodes take real time to research and produce. We keep them ad-free because we think that's better for you. If these marketing conversations have sparked something you've actually used, you can support the show at buy me a coffee dot com slash fexingo. That's buy me a coffee dot com slash fexingo. No pressure — just a way to keep this going. Luna: Yeah, and we really mean that. It helps us stay independent and focused on what's useful. Lucas: Okay, so back to NPS. A Bain study from a couple years ago showed that companies with an NPS above 50 — that's considered 'world class' — grow revenue at more than twice the rate of companies below that threshold. But here's the thing: NPS alone doesn't cause growth. It's a symptom of how customers feel. Luna: And a lot of brands get caught up in the number. They see a score of 45 and think they're fine, but they're not looking at the distribution — how many detractors versus promoters. Lucas: Exactly. The raw NPS can be misleading if you have a bunch of passive scores in the middle. Bain's original research showed that for most B2C companies, a 10-point increase in NPS correlates with a 1 to 2 percent increase in revenue growth. But that correlation is noisy. The real lever is closing the loop with detractors. Luna: Meaning you actually call or email the people who gave you a 6 or below and try to fix their issue. Lucas: Right. And companies that do that systematically see retention improvements of 10 to 15 percent within a year. One example: Apple's retail stores have historically scored in the high 70s on NPS. That's elite. And their strategy isn't just to survey — it's to have staff trained to follow up with any detractor immediately. They even have a specific process for customers who rate below a 7. Luna: Starbucks is another one. They've been doing NPS surveys for years, and their score hovers around 75. But they also use the verbatim comments to spot operational issues. If a store gets a low score because of wait times, the district manager gets an alert. Lucas: And that's where the retention link comes in. A detractor who gets a personal response is 30 percent more likely to become a promoter on the next survey. That's from a Medallia study of thousands of companies. So NPS becomes a retention tool, not just a scorecard. Luna: What about the opposite? Can a high NPS lull you into thinking retention is fine when it's not? Lucas: Absolutely. If your NPS is 60 but you're not tracking actual churn, you might miss that your best customers are leaving for reasons the survey doesn't capture. For example, a subscription box service might have happy customers who cancel because they just accumulated too many boxes. That's not a loyalty problem — it's a product lifecycle problem. NPS won't tell you that. Luna: So you need to pair NPS with behavioral data. Like, are your promoters actually buying more, or are they just polite? Lucas: Right. Fred Reichheld, who invented the NPS, always said the score itself is just a starting point. The real question is: 'Why did you give that score?' And then you have to act on the answer. Companies that do that well see churn drop by 20 to 25 percent over two years. Luna: Let's talk about benchmarks. What's a realistic target for a small or medium brand? Lucas: Across all industries, the average NPS is around 30 to 40. But that hides huge variation. Airlines average in the 20s. Insurance companies are often in the 30s. Luxury goods can hit 60 or 70. For a small B2B SaaS company, anything above 40 is good, above 50 is great. But you should benchmark against your direct competitors, not the whole market. Luna: And you need a statistically significant sample. I've seen brands run NPS with 50 responses and treat it like gospel. That's noise. Lucas: Yeah, the margin of error with 50 responses is plus or minus 14 points. So your score of 55 could actually be 41. Not very actionable. Most experts recommend at least 300 responses for a reliable reading. And you want to survey consistently — same time each quarter, same channel. Luna: You mentioned closing the loop earlier. How do you do that at scale without overwhelming your team? Lucas: Automation helps. You can set up a workflow that triggers an email or SMS to any detractor within 24 hours. The message doesn't have to be long — just 'We saw your feedback, want to talk?' Some companies use a chatbot that offers a callback. The key is speed. A response within 24 hours doubles the likelihood of retention improvement. Luna: And for promoters, you can ask for a review or referral. That's the growth side. Lucas: Exactly. NPS is actually two levers in one. Detractor follow-ups reduce churn; promoter follow-ups drive growth. But most companies only do one or the other. The best practice is to have a playbook for each segment. For promoters, ask for a testimonial. For passives, send them helpful content. For detractors, offer a direct line to customer service. Luna: One thing I see a lot: brands that only send NPS surveys after a purchase or support interaction. That's fine, but it's a biased sample. Lucas: Right. Transactional NPS captures sentiment about that specific moment, not the overall relationship. Relationship NPS — sent quarterly to your entire customer base — is what predicts retention. Apple sends it after store visits, but also does a relationship survey to all customers once a year. That gives them the full picture. Luna: So for a smaller brand, what's the minimum viable NPS program? Lucas: Send a quarterly email to all customers who've been active in the past 90 days. Use a tool like Delighted or AskNicely — they're cheap. Get at least 100 responses. Then have a weekly meeting to review the bottom 10 percent of comments and assign follow-ups. That alone can move your NPS by 5 to 10 points in a year. Luna: And it directly impacts retention because customers feel heard. Lucas: Exactly. There's a study from Harvard Business Review that found customers whose complaints were resolved quickly were 70 percent more likely to repurchase. That's the mechanism. NPS is just the signal. The real work is the response. Luna: Let's talk about the math behind NPS. How do you calculate it, and what's a common mistake? Lucas: You take the percentage of promoters — those who gave a 9 or 10 — and subtract the percentage of detractors — those who gave 0 to 6. Passives, 7 or 8, don't count. So if 50 percent are promoters and 20 percent are detractors, your NPS is 30. A common mistake is including passives as positive. They're not. They're neutral, and they can churn just as easily as detractors. Luna: And the scale matters. Some companies use a 1-to-5 scale instead of 0-to-10, but that makes it harder to compare with industry benchmarks. Lucas: Right, stick with the standard. Another mistake: only looking at the average. A 9 and a 6 average to 7.5, but one is a promoter and one is a detractor. You lose the distribution. Always look at the three segments separately. Luna: So if I'm a marketer listening, what's one action to take this week? Lucas: Pull your last 90 days of customer data. Send a relationship NPS survey today. Even if you only get 50 responses, start. Then categorize the comments into themes. Pick the top three issues that detractors mention, and have a plan to address them within a month. That's the beginning of a retention loop. Luna: And track your NPS over time. A single number is meaningless without a trend. Lucas: Exactly. One more thing: don't benchmark against Apple or Starbucks. Benchmark against your own past scores and against companies of similar size in your industry. That's what actually matters for retention. Luna: Great advice. And if you want more on this, we'll put some resources in the show notes. Lucas: Next time we'll talk about how to combine NPS with churn prediction models. That's where it gets really interesting.