『Customer Retention with Fexingo: Loyalty, LTV, and Keeping Customers for the Long Run』のカバーアート

Customer Retention with Fexingo: Loyalty, LTV, and Keeping Customers for the Long Run

Customer Retention with Fexingo: Loyalty, LTV, and Keeping Customers for the Long Run

著者： Fexingo
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Customer retention is the quiet engine of durable businesses, yet most companies obsess over acquisition. In this show, Lucas and Luna examine why loyalty economics often beats the acquisition treadmill — and how to build systems that keep customers choosing you, year after year. They walk through real cohort data from subscription businesses, SaaS platforms, and retail loyalty programs, asking the hard questions: What does a healthy retention curve actually look like? When does a loyalty program become a liability? How do you calculate LTV with enough precision to make pricing, service, and churn-intervention decisions? Lucas brings the numbers — churn rates by vintage, net revenue retention benchmarks, and the unit economics behind 'free shipping' and 'points' — while Luna pushes on the human side: why do customers really leave, and what can a support team do about it before the cancel button is clicked? Together, they dissect case studies like Starbucks Rewards, Amazon Prime’s flywheel, and the subscription fatigue facing DTC brands. No vendor pitches, no generic advice — just the tension between short-term retention tactics and long-term customer value. By the end of each conversation, you'll be asking: Is my retention strategy actually creating loyalty, or just delaying the exit? #CustomerRetention #LTVCustomerLifetimeValue #ChurnReduction #LoyaltyPrograms #RetentionMetrics #CohortAnalysis #NetRevenueRetention #SubscriptionBusiness #SaaSRetention #DTCBrands #StarbucksRewards #AmazonPrime #CustomerSuccess #LoyaltyEconomics #Marketing #Business #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. 経済学
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  • How One Hotel Chain Saved Revenue With Dynamic Pricing

    How One Hotel Chain Saved Revenue With Dynamic Pricing
    2026/09/10
    Most loyalty programs treat every guest the same, but a major hotel chain changed that by introducing dynamic pricing for their rewards tier. This episode explores how adjusting point redemption rates based on demand and seasonality turned a cost center into a profit driver. We look at the specific mechanics of this shift, the initial backlash from high-value members, and the long-term data showing why flexibility beats flat-rate generosity. It is a case study in balancing perceived value with actual margin protection. #FexingoBusiness #BusinessPodcast #CustomerRetention #LoyaltyPrograms #DynamicPricing #HotelIndustry #RevenueManagement #CustomerLifetimeValue #ChurnReduction #MarketingStrategy #GuestExperience #DataDrivenDecisions #BrandLoyalty #HospitalityTech #ConsumerBehavior #PricingModels #RetailStrategy #BusinessGrowth Keep every episode free: buymeacoffee.com/fexingo
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    13 分
  • The Silent Revenue Killer in Your Customer Base

    The Silent Revenue Killer in Your Customer Base
    2026/09/09
    Most businesses obsess over acquiring new customers, but a quiet leak is draining revenue from the existing base. This episode examines the concept of 'passive churn'—where customers don't actively cancel but simply stop buying or using your service until their account lapses. We look at specific data on how subscription fatigue and forgotten renewals impact lifetime value, and why proactive re-engagement beats reactive cancellation flows. Lucas and Luna break down the metrics that matter, the psychological friction of 'set it and forget it' models, and actionable strategies to wake up dormant users before they leave for good. #CustomerRetention #PassiveChurn #LifetimeValue #SubscriptionFatigue #ReactivationStrategy #MarketingMetrics #CustomerSuccess #RevenueOperations #FexingoBusiness #BusinessPodcast #SaaSMetrics #EcommerceGrowth #UserEngagement #DormantUsers #RenewalRates #CustomerLTV #RetentionMarketing #BusinessStrategy Keep every episode free: buymeacoffee.com/fexingo
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    9 分
  • The Hidden Cost of Churn Prediction Models

    The Hidden Cost of Churn Prediction Models
    2026/09/08
    We explore how predictive churn models often fail because they ignore the emotional context of customer service interactions. Using data from a major telecommunications provider, we examine why treating churn as a purely mathematical problem leads to wasted marketing spend and frustrated agents. Lucas and Luna break down the specific behavioral signals that actually predict attrition, focusing on the gap between what customers say in surveys and what they do in support tickets. #CustomerRetention #ChurnPrediction #MarketingStrategy #CustomerExperience #BusinessAnalytics #FexingoBusiness #BusinessPodcast #LTV #DataDrivenDecisions #TelecomIndustry #CustomerSuccess #PredictiveModeling #ServiceRecovery #BehavioralEconomics #RetentionMetrics #TechTrends2026 #MarketInsights #GrowthHacking Keep every episode free: buymeacoffee.com/fexingo
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    8 分
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