Customer Loyalty Metrics

Not ads. Not influencers. This is what builds a D2C brand. 8 years ago, when Varun Alagh and I launched Mamaearth, we weren’t the biggest brand. We didn’t have endless budgets or massive influencer deals. What we had was intent. We replied to every DM ourselves. Took feedback personally. And obsessed over what one customer was trying to say, not how many followed us. I myself talked to over 3,000 mothers to understand what they want in a baby product. That’s what most people miss about D2C: The consumer doesn’t just buy your product. They buy your intent. 🔹They notice when you make changes based on their reviews. 🔹They remember how fast you responded when they had a concern. 🔹They talk about your brand when you listen to them like a person, not a number. The edge in D2C isn’t speed or scale. While those are important too, what tops the list is how real your relationship with your consumer feels. If you're in the D2C space, don’t chase virality before you’ve built trust. And don’t confuse transactions with loyalty. What’s one lesson that’s shaped how you show up for your consumer? #Entrepreneurship #MondayMotivation #LeadershipLesson #D2C

🟢 "The customer health is green!" 🔴 Customer churns next week Why does this happen so often? I've talked to over 50 CS leaders last year about their health scores. The majority of them have health scores that rely on: - NPS scores from 3 months ago - CSM "gut feeling" ratings - Basic usage metrics None of which predicts churn. They create a category of customers I like to call: 🍉 Watermelon Customers. Customers that look green on the outside (aka. healthy), but upon closer inspection, they are pure red (filled with risk). This throws off CSMs. Last month a CSM I coached booked time with me to understand why his "healthy" customers were leaving. We discovered three patterns: - Their champion had left - Lacking strong use-cases - Not seeing meaningful results Their health score didn't flag any of these risks. And because this CSM manages 130 accounts, they relied on the healthscore to help them prioritise their outreach, so they had been doing less outreach to these customers, because they were "fine". 🚦 See the problem of a bad health score? A bad health score can be worse than no health score. It creates false security. Is your health score misleading you? Does it: ❌ Uses frequency instead of depth of usage ❌ Doesn't track business outcomes ❌ Ignores executive engagement ❌ Heavily weights NPS/CSAT ❌ Relies on CSM intuition ❌ Treats all usage equally Then yes, it is. What actually matters: 💚 Business outcome achievement 💚 Multi-threaded engagement 💚 Feature adoption quality 💚 ROI realisation To CS Leaders: Audit your health score today. Ask: "Would this catch our last 3 churns?" If not, it's time to rebuild. 📧 Curious about a new approach to building effective CSM teams? Join 13.5k pros in transforming Customer Success. Sign up for my newsletter! #CustomerSuccess #CX #CSM #RevOps #SaaS

𝗞𝗲𝗻𝘆𝗮'𝘀 𝗥𝗲𝘁𝗮𝗶𝗹 𝗚𝗶𝗮𝗻𝘁𝘀 𝗔𝗿𝗲 𝗦𝗶𝘁𝘁𝗶𝗻𝗴 𝗼𝗻 𝗮 $𝟭𝟬𝟬𝗠+ 𝗗𝗮𝘁𝗮 𝗚𝗼𝗹𝗱𝗺𝗶𝗻𝗲 – 𝗔𝗻𝗱 𝗗𝗼𝗶𝗻𝗴 𝗡𝗼𝘁𝗵𝗶𝗻𝗴 𝗪𝗶𝘁𝗵 𝗜𝘁! 💎📊 After deep-diving into #Kenya's Big 3 supermarket loyalty programs (Naivas Limited, Carrefour, Quickmart Supermarket), I discovered something shocking: We're witnessing the greatest missed opportunity in African retail history. 🤯 𝗧𝗵𝗲 𝗥𝗲𝗮𝗹𝗶𝘁𝘆 𝗖𝗵𝗲𝗰𝗸 📈 🔹 Naivas: 2+ million customers, 5-year purchase histories, yet still relies on MANUAL point capture by cashiers 🔹 Carrefour: Digital-first approach, but basic utilization of customer intelligence   🔹 Quickmart: Traditional program with ZERO data sophistication 𝗧𝗵𝗲 𝗧𝗿𝗶𝗹𝗹𝗶𝗼𝗻-𝗦𝗵𝗶𝗹𝗹𝗶𝗻𝗴 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 𝗧𝗵𝗲𝘆'𝗿𝗲 𝗠𝗶𝘀𝘀𝗶𝗻𝗴 💰 Kenyan supermarkets are missing out on a trillion-shilling opportunity to leverage their loyalty data for hyper-targeted offers such as personalized discounts and product suggestions based on individual shopping habits. Mass customization at scale through predictive replenishment, personalized lists and subscriptions, and advanced revenue optimization strategies like dynamic pricing, waste reduction, cross-selling, and churn prediction, all of which could dramatically boost profitability and transform customer experience through true personalization. 𝗪𝗵𝗮𝘁'𝘀 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗛𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴 𝗜𝗻𝘀𝘁𝗲𝗮𝗱? 🤦🏾♂️ - Naivas: Customers manually tell cashiers their phone numbers to earn 1 point per KES 100 - Carrefour: Has the tech but uses it like a digital receipt system - Quickmart: Prayer, Vibes & Inshaallah 🙏🏾 𝗧𝗵𝗲 𝗣𝗮𝘁𝗵 𝗙𝗼𝗿𝘄𝗮𝗿𝗱: 𝗪𝗵𝗮𝘁 𝗜𝘁 𝗪𝗼𝘂𝗹𝗱 𝗧𝗮𝗸𝗲 🚀 To truly unlock the value of loyalty programs in Kenya’s retail sector, supermarkets must invest in real-time customer data platforms, AI-powered analytics, mobile money integration, and omnichannel journey mapping, while strategically building teams for data science, segmentation, and personalization; above all, a cultural shift is needed - from simply running 'points programs' to building intelligent customer relationship platforms, allowing for dynamic offers, relationship-driven engagement, and individualized experiences that will drive loyalty and long-term profitability. 𝗧𝗵𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗰𝗮𝘀𝗲 𝗶𝘀 𝗠𝗔𝗦𝗦𝗜𝗩𝗘 📈: proper loyalty data utilization could deliver 20-30% higher customer lifetime value, 15-25% larger transactions, 40-50% better retention, and 10-15% marketing cost reduction. 𝗧𝗵𝗲 𝗥𝗲𝗮𝗹 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻❓ 𝗪𝗵𝘆 𝗮𝗿𝗲 𝗞𝗲𝗻𝘆𝗮'𝘀 𝗿𝗲𝘁𝗮𝗶𝗹 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝗮𝗹𝗹𝗼𝘄𝗶𝗻𝗴 𝗝𝘂𝗺𝗶𝗮, 𝗔𝗺𝗮𝘇𝗼𝗻, 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗲-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 to master customer intelligence while they collect dust-gathering phone numbers? 🤔 The data is there. The customers are willing. The technology exists. What's missing is vision and execution. 💪🏾 How do we unlock this goldmine? 🔓 #RetailInnovation #CustomerData #AI

The cost of not knowing 'why' your customer buys? Wasted ad spend, flat retention, and silent churn. Brands chase clicks, conversions, and CAC. But they never stop to ask: → What moment pushed this person to buy? → What problem were they actually trying to solve? The point is: Every ad rupee spent without understanding customer psychology is a bet with terrible odds. After 10+ years of building in D2C, here are four underrated truths I wish I learned earlier: 1// Algorithms don’t build loyalty. Rituals do. ↳ Your product becomes unforgettable the moment it becomes part of someone's daily routine. Ads = Reach. Rituals = Memory. 2// Data tells you 'what'. Silence tells you 'why'. ↳ The customers who leave without any feedback, hurt your brand more than the loud ones. You always learn more from who's gone than who’s shouting in your comments. Think about it. 3// Your brand is not built during the launch. ↳ It’s built in the moment when the customer looks at your product and exclaims: “This was made for me!” That moment can’t be bought. It has to be earned. 4// Margins aren’t created in marketing. They’re created in micro-moments. ↳ Fast site. Smooth checkout. Thoughtful email follow-ups. Clear post-purchase experience. Each of these add more profits to your bottom line than your ad budget ever will. Moral of the story? Building a brand isn’t about hacking growth. It’s about understanding 'why' people buy, and then building systematic touchpoints around those moments. What’s one insight about your customer’s behavior that changed the way you built your brand?

There’s something missing in a lot of loyalty program ROI models. Here’s how businesses usually think about program ROI: [Incremental Revenue]   x   [Program Expenses]   =   Program ROI In those models, it's difficult to prove how the loyalty program actually changed behavior. A lot of the higher member spend is just selection bias: the people who sign up for a program are more engaged and likely to spend more. There are a few ways to address that (control groups, cohort analysis, regression analysis, time series analysis, etc). But my complaint about most loyalty program ROI models is more that they miss what most loyalty programs are meant to be: iterative, targeted marketing vehicles to build an efficient 1:1 relationship with customers. Here are three ROI concepts that I want to see get more daylight: 1️⃣ Performance of individual activations in the loyalty program 1️⃣ ❌ Many loyalty programs have shifted from ‘passive’ (same earn-and-burn experience for everybody) to ‘active’ (iterative / personalized incentives). But a lot of program ROI models still just look at the program as a whole. ✅ Instead, program ROI work should include robust goal setting & performance monitoring of each new activation we offer members. What’s the value of each activation, how many activations did you run, what are our goals for the next activations? 2️⃣ Value of 0/1P data acquired (and decreased reliance on 3P data) 2️⃣ ❌ Loyalty programs advance your customer data strategy. They’re a value-adding way to collect & use member data, and break reliance on third party cookies. But most program ROI models don’t really factor this in, other than maybe some improvements to member ROAS. ✅ Instead, quantify the value of this 0P/1P data. Does it help you avoid buying third-party data? What results does the new data drive? Measure it! 3️⃣ Improvements to marketing efficiency 3️⃣ ❌ Loyalty programs should help the brand market better, both by better understanding your customer base and by delivering more effective marketing to your members. But program ROI models don’t account for this, other than the final outcome (member spend / retention). ✅ Instead, examine where exactly your program helps you market better. Ideally, it should decrease your retention costs, improve ROAS, improve attribution of discounts / offers, among other things. All of these ultimately roll up to revenue / LTV, yes, but they’re worth breaking apart in your ROI modeling. That traditional ROI model is still important. But brands increasingly see #loyaltyprograms as active, iterative marketing vehicles. With that, there’s a level of granularity required in ROI modeling in how that vehicle is running, and what the vehicle’s movement is worth to the business. Thoughts?

What’s next for loyalty programs? Is it going to remain transactional? Truth is...customers don’t care about your $5 discount code. Earning and burning points doesn’t build loyalty. Your “buy 10 get 1 free” program probably looks just like your competitor’s. So, what do customers ACTUALLY care about? That’s the billion-dollar question, and the one that separates real leaders from everyone else. Customers are humans. We are driven by feelings, stories, and associations. The moment you build an emotional connection with your customers, you unlock possibilities no coupon can ever achieve. Ask yourself: What do you want your customers to feel when they interact with your brand? How do you make every individual customer feel seen and recognized? What kind of bond do you want them to share with your brand? What stories do you want them telling their friends about you? And then, the technical layer: What systems do you need to deliver that consistently? How do you know when you’ve truly succeeded? The future of loyalty is not about points or vouchers. It’s about going back to first principles: why are we doing this in the first place?

Them: We’re good, we have 95% retention rate Me: Great! Do you know why they stay? Them: Yes, our switching costs are high” That is the moment my stomach drops… Customers stay for many reasons: → Some stay because contracts trap them. → Some stay because switching feels annoying. → Some stay because they have low expectations. NONE of that signals real customer loyalty… Loyalty lives in a different place: ✶ It survives small mistakes. ✶ It grows when the relationship feels fair and human. ✶ It appears when they recommend you without thinking. ✶ It shows up in customers who could leave but choose you over again The danger of retention is that it looks healthy right until the moment it collapses. Instead of focussing on retention alone, focus on: 1. treating customers as individuals and show you understand them and care. 2. consistency and reliability over time. Good service once helps but great service repeatedly builds trust. 3. giving opportunities for engagement: ask for feedback, respond to it, offer communities or ways to interact. 4. solving painful friction points but also surprise and delight them 5. understanding and fulfilling customer needs across the spectrum: functional and emotional needs If your retention looks strong but your loyalty is weak, you are sitting on silent churn. It will hit the moment a better option appears. ▶︎ I would love to hear your view. what signals true loyalty in your world? #cx #customerexperience #customerrelations

The most important competence for building a sustainable DTC strategy: Data-Driven Customer Insights. Over the last decade direct-to-consumer marketers have suffered a 15% CAGR in CPM inflation for digital #advertising, according to research by Frederic Fernandez & Associates, dramatically increasing cost per acquisition. #DTC companies hence need to much better understand their target consumers, their path-to-purchase metrics, barriers/ drivers/ triggers & 4Ps preferences, and design a new omnichannel acquisition strategy. In my view, its time for DTC companies to build truly immersive and personalized customer acquisition strategies based on data driven customer insights. Data-driven customer insights are essential in the following 5 marketing areas: 🙋 Understanding Customer Behavior: To create personalized experiences, brands need to understand their customers' behaviors, preferences, and pain points. #Data analytics enables companies to track and analyze customer interactions across all touchpoints, providing deep insights into their journey and decision-making processes. 🎯 Personalization at Scale: Leveraging customer data allows brands to segment their audience and deliver tailored content, offers, and recommendations. This level of #personalization can significantly enhance customer satisfaction and loyalty, as consumers are more likely to engage with content that is relevant to their needs and interests. 📢 Optimizing Marketing Efforts: Data insights help brands to optimize their #marketing strategies and campaigns. By analyzing which tactics are most effective, companies can allocate resources more efficiently and improve their return on investment. ❤️ Enhancing Customer Engagement: Real-time data analysis enables brands to engage with customers at the right moment with the right message. This timely #engagement can drive higher conversion rates and foster a stronger emotional connection with the brand. 📈 Continuous Improvement: Data-driven #insights provide a feedback loop that allows brands to continuously refine their products, services, and customer interactions. This iterative process helps in adapting to changing customer expectations and market trends. By investing in data collection, advanced analytics, and skilled personnel, #DTC companies can create truly immersive and personalized customer experiences that drive engagement and loyalty.

Unpopular question - Your customers like you, but would they miss you if you disappeared tomorrow? Businesses often assume that customer satisfaction equals customer loyalty. If your customer is coming back to you, all must be well! But there's a hidden risk here - satisfied customers leave quietly when something better comes along, often catching businesses completely off guard. When customers merely "like" your business, they are vulnerable. Without an emotional connection, customers don't hesitate to switch at the first hint of convenience, price drop, or new competition. This quiet churn erodes growth, shrinks profitability, and forces companies into costly battles to constantly acquire new customers. The antidote is not better products or cheaper prices. It is genuine customer delight. Delight creates powerful emotional bonds. It turns customers into your biggest advocates, ones who won't just stay but enthusiastically bring in others. The reason is very simple. Because it connects deeply to human emotions like appreciation, pride, and belonging. It goes far beyond transactional satisfaction. Here are a few simple yet impactful things you can start doing today to move customers from 'like' to 'love': ✴️ Personalise the small interactions: Simplest, yet the most powerful one. Address customers by name, recognise and remember preferences, and let them know they matter individually. ✴️ Surprise your customers in tiny ways: Joyful and unexpected gestures go a long way. You don't have to be a Ritz Carlton. Even a small process made easy, a genuine follow-up call, or a handwritten note. There are a million little ways to create powerful emotional anchors. ✴️ Empower your team to delight: Allow your employees the flexibility and freedom to create small moments of joy for the customers. ✴️ Celebrate customer milestones: Acknowledge customers' personal achievements and special moments. Show them that the relationship goes beyond sales. Which of these do you practise regularly in your business? Want your team to master the art of understanding, delighting, and keeping customers loyal? Let's connect.