Adaptive Loyalty Programs

You don’t build loyalty through rewards—you reward customers for already being loyal. Big difference. Loyalty programs are primarily designed for customers who have already demonstrated consistent engagement and loyalty to your brand. The goal isn’t to create loyalty through rewards, but to recognize and strengthen it. By offering rewards, perks, and recognition, you can maximize their lifetime value, whether by increasing purchase frequency, boosting basket size, or encouraging referrals. Tactics like tiered rewards, exclusive access, and personalized incentives help reinforce their commitment and make them feel valued. 𝗦𝗲𝗰𝗼𝗻𝗱𝗮𝗿𝘆 𝗙𝗼𝗰𝘂𝘀:  For customers with the potential to become loyal, the strategy shifts. These customers have shown higher engagement but haven't fully crossed into the loyal customer category. To convert them, 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 is key. Tailor rewards based on their behaviors and preferences to create a sense of exclusivity and recognition. It’s also crucial to stay top of mind through strategic touchpoints—whether via targeted email campaigns, loyalty app notifications, or personalized offers that speak directly to their interests. Offering a path to higher-tier rewards as they engage more frequently can further motivate them to commit to your brand long-term. 𝗖𝗮𝘀𝘂𝗮𝗹 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀:  Casual customers require a different approach. They won’t become loyal overnight, and the objective here is gradual nurturing. For this segment, it's all about increasing touchpoints and staying relevant. Broader offers, such as discounts, time-sensitive promotions, or entry-level rewards, help keep them engaged without overwhelming them. The goal is to activate them periodically, ensuring they interact with your brand from time to time. By keeping consistent offers flowing, you maintain visibility, and over time, some of these casual customers may transition into the potential loyal customer segment. ----- Ultimately, loyalty is about retention, not conversion. The focus is on maintaining a strong relationship with those who already support your brand and steadily nurturing others to deepen their commitment over time.

What we once celebrated as 'data-driven' was really just data-curious. I recall an article we wrote in 2012 about how smaller restaurant chains could compete with industry giants through what we then deemed innovative digital loyalty programs. We called it a "Moneyball" approach—using scrappy tactics to punch above your weight class. Back then, we considered it a breakthrough to connect social media engagement with loyalty rewards. When a guest tweeted about their order, a restaurant could respond not just with thanks, but with action—loading a reward directly onto their loyalty card. The focus was on program enrollment and transaction-based rewards. Success meant getting guests signed up and coming back to earn their next free item. In reality, transactional loyalty programs were just the warm-up act for today's comprehensive guest data platforms. Here’s how: From program-centric to guest-centric ⬅️ Then: Focus on loyalty program members and their point balances ➡️ Now: Focus on all guests and their individual preferences, regardless of program status From reactive rewards to proactive personalization ⬅️ Then: Rewarding guests after they engage ➡️ Now: Anticipating and offering guests’ favorite orders, based on historical data and behavioral patterns From transaction tracking to experience orchestration ⬅️ Then: tracking purchases to award points and trigger rewards ➡️ Now: Using comprehensive guest data to personalize everything from menu recommendations to ordering experiences across all channels Here’s how our earlier example would play out today: 2012: Guest tweets about their order → restaurant responds with a free reward → guest returns to redeem 2025: Guest orders → System notes preference and ordering patterns → Next time they open the app, menu item is prominently featured alongside complementary items they're likely to enjoy → If they haven't ordered in their typical timeframe, they might receive a personalized message about a limited-time offer → The experience feels curated, not automated The best restaurant brands today aren't just running loyalty programs; they're building comprehensive guest data platforms that make every interaction feel like coming home to your favorite neighborhood spot. The "Moneyball" approach has evolved, but the underlying truth remains: the scrappy operators who use data will always have a competitive edge.

👉 The Affordability Crisis Just Rendered Your Loyalty Program Obsolete. With inflation and economic uncertainty, customers are becoming ruthlessly price-sensitive. If your retention strategy still relies on generic, high-cost discount programs ("Spend $100, get $5 in points"), you are training your users to love the discount, not the brand. This transactional relationship is a financial drain and will fail under pressure. The old model of simply outspending the competition on Customer Acquisition Cost (CAC) is dead. The only way to achieve sustainable, crisis-proof growth is through an aggressive, strategic pivot to efficient retention. The Solution: AI-Powered Customer Loyalty As an expert of scaling companies like Roku and IMVU, I believe the current economic environment demands a shift from reactive loyalty to proactive, predictive retention using Lean AI. We must stop rewarding customers who would have purchased anyway and focus resources on those at risk. The AI Advantage is Clear: - Prediction over Points: Machine learning models calculate a real-time Propensity-to-Churn Score for every user. - Hyper-Personalized Value: When a user crosses the churn threshold, AI triggers a customized value proposition (e.g., exclusive access, premium service, or a targeted cash-equivalent reward)—maximizing LTV while minimizing the Cost of Retention. This approach transforms a lost customer into a highly profitable, re-engaged super-fan. A Roadmap for Growth Leaders: Four Pillars of AI Retention In my new article, I outline the non-negotiable strategy for building this efficient retention engine: 1. Build a Unified Customer Data Platform (CDP): AI is only as good as the clean, 360-degree data fueling it. 2. Product-Led Retention: Use AI to accelerate the "Aha!" moment during onboarding. 3. Continuous Automation: Automate experimentation to find the optimal reward, incentive, and timing. 4. Prioritize Exclusive Access: Build an emotional moat through community and VIP experiences, not just just price cuts. The companies that survive and dominate the next decade are the ones that strategically deploy AI to build unshakeable, hyper-personalized relationships. Read the full analysis and technical roadmap here: 👇

Is a recession coming? Maybe.   But one thing’s certain: your points program won’t survive it — unless it feels like cash.   At Kalder, we work with retailers, fintechs, brands, and sports teams navigating this shift in real-time.   Here’s what we’re seeing across the board:   Margins are thinning. Budgets are tight. And your customers? They’re not spending like they used to... So what’s next?   1. Loyalty points are turning into cash equivalents. Consumers aren’t chasing “cute” rewards anymore. They’re chasing value. Utility. Relief.   Expect grocer dollars, gas points, mobility credits, and travel miles to outperform every other loyalty currency — because they stretch real budgets.   In inflationary cycles, customers don’t want to feel rewarded. They want to cover the bill.   2. Consumers will hunt harder — because they need to, not just want to. Recessions rewrite behavior. In high-trust categories like grocery, gas, mobility, and discount retail, we’re seeing a surge in offer engagement.   Why?   Because consumers are actively searching for ways to stretch their income. They’ll dig, they’ll click, they’ll link a card. Friction that used to kill the funnel? They'll push through if the upside feels real.   More time. Tighter wallets. More value sensitivity.   3. Partner rewards are becoming a core revenue line, not a side project. Sales alone aren’t enough anymore. Every brand exec is asking:   “How do we monetize our existing audience?”   Partner rewards now sit at the intersection of loyalty and retail media.   We're seeing brands: → Sell their loyalty currency to partners (airlines, grocers, mobility apps) who want access to their top customers → Monetize their best users — turning reward-loving shoppers (think TJMaxx Moms, Macy’s Stars) into a new line of revenue → Run offer marketplaces where partners pay to issue cashback and commission deals — driving their own acquisition   This isn't just retention anymore. This is a business model.   4. Subscription-based loyalty programs will be the first to get cut. If your rewards don’t tie to daily life, expect churn. Shoppers are reprioritizing essentials: groceries, gas, travel, transit.   They’ll stick with brands whose rewards feel liquid — rewards that help them pay for a meal, a ride, or a bill.   If your subscription tier offers soft perks, light discounts, or early access? You may not make it through the next quarter.   5. Rewards that feel like real money will win. Loyalty isn’t dead — it’s evolving. And the brands that win will be: → Earned daily – tied to frequent, everyday spend → Used broadly – not just “10% off next time,” but real currency → Sought after – so valuable, other brands want to issue them   Imagine this: Hobby Lobby Cash earnable at a gas station 🛍️ Macy's Stars earned on your Uber ride 🥫 ALDI USA Points stacked from your travel booking   When rewards feel unlocked, not locked-in — they become currency.

American Airlines almost went BANKRUPT in 2011. Their genius response created the most profitable loyalty program in aviation history – generating $6+ billion annually. Today: They’re one of the world's largest airlines flying 350+ cities globally. Here’s the brilliant strategy that saved this company from crashing: 2011: American Airlines was toast: Bankruptcy. Pilots threatening strikes. Customers fleeing to competitors. Wall Street declared them dead. But American Airlines was letting something good sit and rot... Their 30-year-old loyalty program was pure gold sitting unused. AAdvantage had 67 million members, but American was treating it like an expense instead of their most valuable asset. Until they turned the whole plan upside down: Stop thinking like an airline. Start thinking like a bank. Instead of just rewarding flights, their program turned miles into currency. The company educated customers that every Starbucks purchase earned miles. Every hotel stay. Every rental car. Even mortgage payments. AAdvantage members could earn miles faster than ever – without even stepping foot on a plane. The results were immediate and shocking: - Program revenue jumped 40% in year one - Members spent 3x more on American flights - Partnership deals worth billions started pouring in But AAdvantage wouldn’t stop there: While competitors copied the partnerships, American had already moved to phase two... weaponizing their data. American now knew where you traveled, when you booked, what you valued most... And this data goldmine let them personalize everything: - Frequent business travelers got upgrade offers - Family vacationers got package deals - Price-sensitive customers got targeted discounts By 2013, something unprecedented happened: AAdvantage sometimes generated MORE profit than their actual flights. Credit card partnerships alone brought in MILLIONS annually. And numbers never lie: - 110+ million AAdvantage members - $6+ billion in annual loyalty program revenue - Industry-leading customer satisfaction scores American Airlines proved that loyalty is simply everything. They turned a crashing plane into a clean landing by following one fundamental truth: Your customers aren’t buying your product. They’re buying a relationship. The bankruptcy-to-billions story reveals the ultimate loyalty formula: - Create value outside your core product - Use data to personalize every single touchpoint - Turn your program into a lifestyle, not just transactions This strategy works in any industry where customer acquisition costs are high and lifetime value matters. Response Labs is using the next generation of tools and data to deliver personalized messaging at scale - including paid media. Follow me at Dan Dawes for more stories on CRM & loyalty marketing.

The way loyalty programs are done today is the same as it has been for years and is outdated. When a customer considers taking an action, here’s the subconscious mental math they do: The benefit of taking the action - cost to take the action = action Let’s look at an example. Say there’s a coffee shop I’ve been frequenting. For the coffee shop’s loyalty program to work for me, the benefit I get from this coffee has to be worth the time, effort, and money to obtain it. If this is true, I take the action and go and get the coffee. If there are multiple different coffee shops to choose from, I choose the one with the largest difference between benefits and costs. Now, what if there was an X factor added to the equation? It looks something like this: The benefit of taking the action + X - cost to take the action = action ‘X’ adds something to the customer experience that increases the benefit even more than the item on its own—which tips the scale. Next-gen loyalty programs add an X-factor, which changes the equation. There are many ways that we add this benefit for the customer—one example brands and customers love is the ‘loot box.’ Loot boxes are similar to playing a slot machine or opening a pack of sports cards. You have a random chance of getting one or multiple items with varying degrees of value, like a free drink or 50% off your next order. If there is one coffee shop 4 blocks from me that uses Hang and another coffee shop 1 block from me with essentially the same quality of coffee at the same price—I will walk the extra 3 blocks because the X factor (in this case, the loot box) is rewarding enough to me to take the additional action. We have seen this play out firsthand within our programs and have endless customer stories to support it. One of my favorite anecdotes is from a customer in Boba Guy’s program who hadn't been to Boba Guys in 2 years and was considered a ‘churned’ customer. One day, he came back for the first time in ages, joined the program, opened his first loot box, and over the next 15 days he came back another 12 times. From churned customer to super user in one interaction. Now that is what we call an X-factor.

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