Why Your Best Customers Have the Lowest Net Promoter Scor...

What this episode covers

Lucas and Luna unpack a counterintuitive finding: the customers who love your product most often give mediocre NPS scores. They walk through the behavioral economics behind the 'loyalty tax' — why high-engagement users are harder to survey, why they anchor on recent interactions rather than overall sentiment, and how one B2B SaaS company discovered that its so-called 'passive' cohort actually had the highest lifetime value. The episode draws on a 2025 retention study of 14,000 subscription customers and a real example of a company that stopped chasing 9s and 10s and instead redesigned its survey trigger around behavioral milestones. If your retention team is optimizing for a perfect NPS score, this might be the metric you should rethink. #NetPromoterScore #CustomerRetention #LoyaltyTax #BehavioralEconomics #SurveyBias #CustomerLifetimeValue #B2BSaaS #ChurnAnalysis #RetentionStrategy #CustomerExperience #MarketingPodcast #FexingoBusiness #BusinessPodcast #LucasAndLuna #NPSMistake #PassiveCustomers #LoyaltyParadox #SurveyDesign Keep every episode free: buymeacoffee.com/fexingo

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Frequently Asked Questions

How long is this episode of Customer Retention with Fexingo: Loyalty, LTV, and Keeping Customers for the Long Run?

This episode is 9 minutes long.

When was this Customer Retention with Fexingo: Loyalty, LTV, and Keeping Customers for the Long Run episode published?

This episode was published on June 5, 2026.

What is this episode about?

Lucas and Luna unpack a counterintuitive finding: the customers who love your product most often give mediocre NPS scores. They walk through the behavioral economics behind the 'loyalty tax' — why high-engagement users are harder to survey, why they...

Can I download this Customer Retention with Fexingo: Loyalty, LTV, and Keeping Customers for the Long Run episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.