Simplifying Customer Experience Touchpoints

Loyalty is failing. Gen Z & long-term commitment. 22% of Gen Z consumers consider themselves loyal to one brand is a clear warning for legacy loyalty strategies. Unlike previous generations, Gen Z doesn’t see brand loyalty as a long-term commitment, they’re loyal to moments, not just names. +43% increase in engagement and sales conversions among Gen Z Beauty brands offering "limited-edition drops" and collaborative experiences. +71% Gen Z say they would rather spend money on an experience than a product. >>Loyalty is FAILING, but why<< +Transactional systems feel outdated: Point-based rewards for repeat purchases don’t excite this audience. They expect more than discounts or free samples. +They’re brand-agnostic but experience-driven: Gen Z freely switches between brands if the experience, aesthetic, or values feel fresher or more aligned with their identity. +They buy into stories, not just products: They want to align with brands that represent something, social causes, cultural movements, or communities they relate to. >>DYNAMIC LOYALTY<< What’s this? as it name indicates its a system that rewards interaction, aligns with their values, and constantly evolves. And that is what your brand needs. → Create experience-driven loyalty programs: Offer early access to limited drops, invite-only events, or backstage content. Think like a fan club, not a punch card. +Example: A loyalty tier that unlocks tickets to a pop-up experience or an exclusive AR filter. →Let them co-create: Invite Gen Z customers to co-develop product ideas, designs, or campaign themes. Give them ownership in your brand’s creative journey. +Example: Voting on packaging designs or joining beta tester groups. →Align with their values: Sustainability, inclusivity, and social good aren’t nice-to-haves. they’re expectations. Use loyalty programs to reward actions too, like recycling, sharing causes, or supporting small creators. +Example: “Earn loyalty points by returning empties or attending a sustainability workshop.” →Deliver constant novelty: Rotate limited editions regularly. Use scarcity and surprise to create FOMO and buzz. +Gen Z doesn’t commit to a single brand, but they’ll keep returning if each visit feels fresh and share-worthy. →Go omnichannel but social-first. Should live across TikTok, Instagram, pop-ups, and web. Let them earn or unlock rewards through social engagement, not just purchases. +Example: A user gets exclusive content or perks for creating UGC with your brand. Bottom Line. Loyalty must be earned over and over through experience, relevance, and emotional connection. Think dynamic loyalty: a system that rewards interaction and go for it. Find my curated search of examples and get ready for your next HIT. Featured Brands: Balmain Benefit Chanel Charlotte tilbury Cerave Fennty L’Oreal OGX YSL #beautypackaging #beautybusiness #beautyprofessionals #experienceretail #luxuryexperiences #genz

Don’t Automate Complexity... Simplify and Error-Proof Instead When problems arise, it’s tempting to think automation is the magic fix. But automating a broken or complex process just means you’re speeding up the production of errors. The smarter approach? Simplify the process and error-proof it (Poka Yoke) before thinking about automation. Here’s why simplification often beats automation and how you can apply it. Why You Should Simplify Before Automating: 1️⃣ Faster, Cheaper Improvements Simplifying a process through standardization and removing unnecessary steps often solves problems more quickly and at a lower cost than automation. 2️⃣ Avoid Automating Waste If your process is full of waste (like waiting, overprocessing, or rework), automating it only speeds up inefficiency. Fix the process first, then think about automation. 3️⃣ Built-In Error Proofing With Poka Yoke solutions (like jigs, fixtures, or guides), you can design processes to prevent errors from happening in the first place—without needing expensive sensors or software. 4️⃣ Flexibility and Adaptability Simplified processes are easier to adjust and improve, while automated systems can be rigid and costly to change once implemented. How to Simplify and Error-Proof a Process: 🔍 Map the Current Workflow: Identify unnecessary steps, bottlenecks, and areas prone to errors. ✂️ Eliminate Waste: Remove any steps that don’t add value to the product or service. 📋 Standardize Work: Create clear, repeatable instructions that everyone can follow. 🔧 Introduce Poka Yoke: Physical Error-Proofing: Use jigs, fixtures, or alignment guides to prevent incorrect assembly. Visual Cues: Use color-coded labels or visual templates to guide operators. Sensors or Alarms: Only when needed, use low-cost technology to detect errors in real time. Example of Simplification and Poka Yoke in Action: A warehouse team was dealing with frequent errors when picking products for orders. Instead of implementing a costly automated picking system, they: 1. Introduced a color-coded bin system (Poka Yoke) to help operators select the correct items. 2. Simplified the picking route to reduce unnecessary walking and waiting time. Result: Picking errors dropped by 80%, and productivity increased by 15%—all without expensive automation. When to Consider Automation: Once the process is simplified and stabilized with minimal variation, automation can enhance speed and efficiency. But it should support an optimized process, not mask its problems.

Docs are the new knowledge base for AI. Last month, I watched a founder reduce support tickets by 65% without hiring a single person. His secret? He understood something that's reshaping how users discover and learn software. The shift happening right now: Remember when users would Google their questions and land on your help center? That era is ending. * Google search volume is declining for the first time in 22 years * ChatGPT and Claude now actively crawl documentation through llms.txt files * Users increasingly ask AI assistants about your product—not your support team This isn't just a trend. It's a fundamental change in user behavior. The opportunity hiding in plain sight: Eli Winderbaum at Captions saw this coming. Instead of scaling his support team, he built documentation specifically for AI consumption. The result? Their AI agents now handle 65% of all support tickets—accurately. But here's what most miss: This only works when your documentation is designed for it. Traditional docs written for humans don't translate well to AI interfaces. Your action plan: The companies winning this transition focus on three things: 1. Optimize for AI discovery: Implement llms.txt, structure content with clear context, use semantic markup 2. Maintain living documentation: AI serves whatever you publish—outdated docs mean frustrated users 3. Automate the upkeep: Manual documentation updates can't keep pace with product changes anymore Want to see exactly how teams like Captions are making this transition? We're sharing the complete playbook next week, including the specific systems and workflows that drive these results. Reserve your spot: https://lnkd.in/gA4qaCud

One of the biggest takeaways I spotted from Intuit Mailchimp’s analysis of the 2024 holiday shopping season is that the new year is ripe with new opportunities to drive loyalty. Here’s why → 64% of orders from Mailchimp customers with connected stores came from new customers during Cyber Weekend 2024. That's a huge opportunity to grow your loyal customer base! And research we produced with Canvas8 tells us that the best kept secret to driving loyalty is actually grounded in science. Our Loyalty Wheel reveals 4 key drivers of loyalty: 1. Reward: Our brains love rewards. Create a sense of reciprocity by offering exclusive deals, personalized discounts, or early access to new products. 2. Memory: Make it easy for customers to remember (and repeat!) positive experiences with your brand. Design a frictionless customer journey, offer subscriptions for frequently purchased items, and send well-timed reminders. 3. Emotion: Foster an emotional connection that goes beyond transactional exchanges. Align your brand with causes your customers care about, share authentic stories, and build a sense of community. 4. Social Interaction: Encourage customers to share their love for your brand with friends and family. Create opportunities for user-generated content, run refer-a-friend programs, or host exclusive events. And here's how to put it all into action: 🎉 Surprise and delight: Gift your customers with unexpected rewards. And just not generic discounts. Offer exclusive experiences or partner with like-minded brands to create unique offers. 🛝 Streamline every touchpoint: Remove friction in the customer journey with automation. From browsing to purchasing to post-purchase support, make it easy and enjoyable to do business with your brand. 🎯 Prioritize personalization: Craft your messaging and build authentic connections. Use data and AI analysis to understand your customers' values and preferences and use those insights to create content that resonates. 🤗 Give VIP treatment: Make your customers feel like VIPs. Give them early access to new products, invite them to exclusive events, or feature them on your social media channels. Download Mailchimp and Canvas8’s The Science of Loyalty and The Strategic Loyalty Playbook for a deep dive into the science, complete with actionable strategies and inspiring examples: https://bit.ly/49FJayO Make 2025 the year of the loyal customer. You got this.

This is a top mistake I see during loyalty program launches: NOT showing members anything about their current status during the ecommerce journey. Sure, we have a landing page, a CRM campaign, and a banner promoting the new program. But after signup, our members don’t see a single thing about loyalty (points, tiers, rewards) until AFTER they make a purchase. This approach leaves a ton of member value on the table. Members don’t understand what they’re getting from the program, and don’t take any incremental actions when it matters most. We need to ensure two things are true: (1) Members know what they have earned, will earn, and could earn (2) Members know what future redemption opportunities they are working toward When these things are true, we get the most out of our program – making it more likely that members will do the things we want them to do. These include: →  Stretch basket size / spend  →  Increase conversion →  Accelerate next purchase →  Increase reward redemption →  Decrease member churn We need to nail four things to maximize the value here. They are: 👀 VISIBILITY Loyalty value needs to be displayed on key journey steps including the product detail page, cart, checkout, order confirmation, and banners. 🔁 CONSISTENCY The frontend display logic and the actual backend earn/redeem logic must be managed in the same workflows (and shown / adjusted in real-time). 🛠️ CUSTOMIZATION We must be able to adjust earn & redeem logic as we see fit – e.g. double points on new drops, bonus points for baskets over $100. 🎯 PERSONALIZATION We must be able to change the value proposition both based on customer data, AND based on in-session behavior. So why do brands so often miss here? The main blocker here is technology. If the loyalty system is slow and rigid, then showing this information is going to be too painful. That’s why we’ve made this such a huge part of how we’ve built Talon.One. We are “cart-native” and offer the most flexible loyalty & promotion engine on the market. That means we can show precise value propositions in real-time at every critical step of the member journey. If your loyalty program is nowhere to be found on ecommerce, we are happy to chat and share a few pointers & case studies to bring it to life.  Send me a DM or grab time with our team here:  https://lnkd.in/dRpstHW9

Too often, companies think that adding more agents or reducing call times makes their call centers effective. But the reality is different. A recent Gartner study found that 58% of customers will stop doing business with a company after a poor service experience, even if the issue itself gets resolved. Meanwhile, Forrester notes that businesses focusing on value-driven customer service see up to 60% higher customer lifetime value. It’s a reminder that call centers built for volume are no longer enough. Today, they must be built for value. That means shifting from measuring “how many calls” to measuring “how much impact.” So, how can organizations transform their call centers into value centers? 1. Redefine success metrics. Move beyond average handle time and number of calls answered. Instead, measure customer outcomes, satisfaction, and retention. 2. Empower agents with more intelligent systems. Real-time insights, AI-driven routing, and contextual data allow agents to focus on solving problems, not just closing tickets. 3. Personalize every interaction. Customers expect to be remembered. Integrating CRM and conversation history ensures no one feels like they’re starting over. 4. Be proactive, not reactive. Predictive analytics and automation help prevent issues before they escalate, turning service into a driver of loyalty. Many organizations get stuck because they chase efficiency metrics while overlooking the bigger picture. The question we as businesses or governments should be asking is, 'Is every interaction moving the business forward?' #CX #CustomerExperience #DigitalTransformation #KSA

Beware of Creating the "Airport Experience" for Your Legal Team Users ✈️ Airports have lots of processes, queues, information screens, directional arrows, emails, texts, unique numbers, checks, special documents etc. On the surface, it all gives the impression of extreme organization and information sharing. But as a user, particularly if you only navigate an airport once or twice a year, the experience can be overwhelming, tense, confusing, and frustrating. 😵💫 This made me think that while processes, self-service, and information sharing are critical components of a well-run legal department, there's a danger of overdoing it. We must never forget that the average user's ability to comprehend and interact with our department can easily be compromised by overly complex systems and communication channels. I thought of these watch outs to make sure you're not turning your legal department into a bustling airport terminal: Avoid Multiple System Channels of Entry for Queries: Stick to a streamlined process with one or two clear channels for submitting queries. Having multiple systems can confuse users and lead to queries being lost or mishandled. Keep it simple, and ensure that users know exactly where to go when they need help. 🛣️ Simplify Communication: Be realistic about what your business stakeholders are going to read and digest. Focus on clear, concise, and targeted communication that gets straight to the point. Your goal should be to make information easy to digest and actionable, providing it in the place and at the time they need to consume it. ✉️ Cater to Infrequent Flyers: Even frequent users of legal team services won't fully understand or appreciate the process or what's needed as part of their request. For infrequent or first-time users, it can be even more confusing. Be prepared to tell them upfront exactly what you need from them and why, so you can get the request off to the best start. 🚦 #LegalOps #Legal #Law #Business #Efficiency #Communication

What if you could listen to every customer interaction—at scale? For years, contact center leaders have struggled with limited visibility. Most QA teams review only 2-5% of calls, leaving critical insights buried in recordings that never see the light of day. AI-powered Conversation Intelligence changes that. Instead of relying on outdated keyword spotting or manually scoring a fraction of interactions, AI can analyze 100% of your customer conversations, extracting call drivers, sentiment trends, and agent performance insights in real time. Imagine what you could do with that level of clarity. Identify trends before they become problems—spot surges in customer complaints and act before they escalate. Coach agents with precision—understand exactly where improvements are needed, without listening to hours of calls. Optimize automation strategies—pinpoint high-volume, repetitive workflows that are ripe for AI-driven automation. When every conversation becomes a source of insight, your contact center stops flying blind and starts making proactive, data-driven decisions. How would that change your CX strategy?

Your company's ability to respond to customer support tickets has a direct correlation to customer retention / churn. ⏲️ 🚅 Customers don’t expect every issue solved in 5 minutes. But they do expect: ✅ Immediate acknowledgement ✅ A clear plan of action ✅ Confirmation when resolved Companies that ignore this lose customers. Those that master it? They scale without burning out their teams. ⚙️ The secret isn’t overlap. It’s handoffs. Each shift should close with: - What’s done? - What’s pending? - What’s next? This creates seamless continuity — customers never have to repeat themselves. 🤝 Trust > Micromanagement. Global teams thrive when empowered with clear playbooks. If every decision waits for HQ’s approval, delays kill customer confidence. Document what teams can do independently (discounts, escalations, resolutions) and let them act with confidence. 🛠️ Tools that help: - Slack → capture conversations - Google Meet → record & transcribe calls - Shift.com → manage multiple accounts/channels Tools alone won’t fix gaps, but paired with process, they make time zones work for you, not against you. 👥 Culture is the final piece. Strong global teams form pods — small, local groups that bond while still being part of the global mission. This mix of local belonging + global alignment boosts engagement and service quality. Time zone management isn’t about clock-watching. It’s about building trust, structure, and culture that keep both your customers and your team thriving. #GlobalTeams #CustomerSuccess #ScalingUp #Offshoring #Outsourcing #

Conversational AI is transforming customer support, but making it reliable and scalable is a complex challenge. In a recent tech blog, Airbnb’s engineering team shares how they upgraded their Automation Platform to enhance the effectiveness of virtual agents while ensuring easier maintenance. The new Automation Platform V2 leverages the power of large language models (LLMs). However, recognizing the unpredictability of LLM outputs, the team designed the platform to harness LLMs in a more controlled manner. They focused on three key areas to achieve this: LLM workflows, context management, and guardrails. The first area, LLM workflows, ensures that AI-powered agents follow structured reasoning processes. Airbnb incorporates Chain of Thought, an AI agent framework that enables LLMs to reason through problems step by step. By embedding this structured approach into workflows, the system determines which tools to use and in what order, allowing the LLM to function as a reasoning engine within a managed execution environment. The second area, context management, ensures that the LLM has access to all relevant information needed to make informed decisions. To generate accurate and helpful responses, the system supplies the LLM with critical contextual details—such as past interactions, the customer’s inquiry intent, current trip information, and more. Finally, the guardrails framework acts as a safeguard, monitoring LLM interactions to ensure responses are helpful, relevant, and ethical. This framework is designed to prevent hallucinations, mitigate security risks like jailbreaks, and maintain response quality—ultimately improving trust and reliability in AI-driven support. By rethinking how automation is built and managed, Airbnb has created a more scalable and predictable Conversational AI system. Their approach highlights an important takeaway for companies integrating AI into customer support: AI performs best in a hybrid model—where structured frameworks guide and complement its capabilities. #MachineLearning #DataScience #LLM #Chatbots #AI #Automation #SnacksWeeklyonDataScience – – –  Check out the "Snacks Weekly on Data Science" podcast and subscribe, where I explain in more detail the concepts discussed in this and future posts:    -- Spotify: https://lnkd.in/gKgaMvbh   -- Apple Podcast: https://lnkd.in/gj6aPBBY    -- Youtube: https://lnkd.in/gcwPeBmR https://lnkd.in/gFjXBrPe