Product-Led Growth with Fexingo: PLG Strategy, Self-Serve Software, and Modern SaaS Sales
Episode 124 of Product-Led Growth with Fexingo. Lucas and Luna explore how PLG products deploy self-serve Net Promoter Score surveys to identify high-likelihood enterprise buyers before they ever talk to sales. They examine the specific trigger logic behind post-onboarding NPS campaigns, how companies like Figma and Calendly have used detractor feedback to fix friction points that were blocking upgrades, and why a promoter score combined with usage above a certain threshold is a stronger enterprise signal than a demo request. Lucas walks through the math: a product with 10,000 active users, a 40% survey response rate, and a 65% promoter percentage yields roughly 2,600 high-likelihood targets per cohort — without a single outbound email. Luna challenges whether NPS alone is reliable, and they discuss how leading teams layer feature adoption data on top of the score. The episode closes with a real example of a company that added an NPS-based upgrade prompt inside the product and saw a 15% lift in enterprise conversions within one quarter. #NPS #NetPromoterScore #PLG #ProductLedGrowth #SaaS #EnterpriseSales #CustomerFeedback #SelfServe #Conversion #Upgrade #Figma #Calendly #ProductAnalytics #CustomerSuccess #Growth #BusinessAndTechnology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo [https://buymeacoffee.com/fexingo]
128 episodes
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