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The Growth Operator with Fexingo: Marketing, Sales, and Revenue Operations Conversations

The Growth Operator with Fexingo: Marketing, Sales, and Revenue Operations Conversations

By: Fexingo
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Lucas and Luna drill into the operational spine of growth: how marketing, sales, and revenue teams actually align data, tools, and incentives to turn leads into retained customers. Each episode picks a single company's real pipeline metrics — from unit economics to funnel leakage — and walks through the decisions that moved the needle. No founder mythologizing, no platform demos. Lucas presses on attribution models and CAC payback periods; Luna tests those numbers against customer psychology and sales cycle realities. Together they dissect what separates a functioning revenue engine from a growth theater. For operators, VPs, and anyone who sits in a weekly pipeline review and wonders if the dashboard is lying to them. What does a 10% improvement in handoff speed actually cost — and is it worth it? #RevenueOperations #SalesOps #MarketingOps #PipelineManagement #CAC #LTV #Attribution #FunnelAnalysis #SalesTech #Martech #GTMStrategy #GrowthMetrics #SalesEnablement #RevenueEngine #Marketing #FexingoBusiness #BusinessPodcast #Operations Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. Economics
Episodes
  • Why B2B Brands Are Using AI for Sales Script Analysis
    Jul 6 2026
    Episode 97 of The Growth Operator digs into a specific use case that's quietly reshaping B2B sales teams: using AI to analyze actual sales call scripts for persuasion patterns and conversion triggers. Lucas and Luna walk through how Gong and Chorus have evolved beyond simple sentiment analysis to identify which phrases, questions, and objection-handling moves correlate with closed-won deals. They cite a real example from a mid-market SaaS company that analyzed 10,000 recorded calls and found that reps who used the word 'value' in the first 90 seconds closed at 2.3x the rate of those who didn't. They also drill into the tension between script adherence and authenticity — can AI help reps stay on message without sounding robotic? And what happens when the data shows that your best reps are breaking the script? This episode is for revenue ops leaders and sales enablement managers who want to move beyond anecdotal coaching to evidence-based playbooks. No theory, just the numbers and the nuance. #AI #SalesScriptAnalysis #B2BSales #SalesEnablement #ConversationIntelligence #Gong #Chorus #RevenueOperations #SalesCoaching #WinningPlaybooks #ObjectionHandling #SalesData #CallAnalysis #SalesTech #Business #SalesPodcast #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    13 mins
  • How B2B Brands Use AI for Customer Sentiment Analysis
    Jul 6 2026
    This episode of The Growth Operator explores how B2B companies are using AI to analyze customer sentiment from support tickets, survey responses, and social mentions. Lucas and Luna discuss a real-world case: how a mid-market SaaS company used natural language processing to surface hidden churn signals and reduce customer loss by 18 percent in six months. They break down the difference between basic keyword tracking and modern LLM-based sentiment models, explain why context matters more than polarity scores, and share a practical framework for turning sentiment data into product and revenue actions. If you work in customer success, product management, or revenue operations, this episode will give you a concrete playbook for listening to your customers at scale. #CustomerSentimentAnalysis #AIinBusiness #B2BSaaS #NaturalLanguageProcessing #ChurnReduction #CustomerSuccess #RevenueOperations #LLM #CustomerFeedback #SentimentScoring #AIforCustomerExperience #Business #FexingoBusiness #BusinessPodcast #TheGrowthOperator #Marketing #Sales #CustomerInsights Keep every episode free: buymeacoffee.com/fexingo
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    12 mins
  • How B2B Brands Use AI for Revenue Forecasting
    Jul 5 2026
    Lucas and Luna dive into the messy reality of B2B revenue forecasting and how AI is starting to change it. Lucas walks through a specific case: a mid-market SaaS company that replaced their spreadsheet-based rolling forecast with a machine learning model trained on CRM, billing, and product usage data. The result? Forecast error dropped from 18 percent to 6 percent within two quarters. But Lucas also flags the pitfalls — garbage-in garbage-out when historical data includes COVID-era anomalies, and the risk of treating the model as a black box. Luna pushes back on whether AI forecasts actually change rep behavior or just give management prettier charts. They also discuss the crucial distinction between predicting when a deal closes versus whether it closes, and why leading indicators like pipeline coverage ratios still matter. Anchored to current market conditions as of July 2026, the conversation touches on how the current macro environment — with extended sales cycles and budget scrutiny — makes forecast accuracy more valuable than ever. No hype, just honest trade-offs. #AI #RevenueForecasting #B2BSales #SalesOps #RevOps #MachineLearning #ForecastAccuracy #SaaS #SalesManagement #PredictiveAnalytics #CRMAnalytics #Business #FexingoBusiness #BusinessPodcast #TheGrowthOperator #LucasAndLuna #SalesTech #DataDrivenSales Keep every episode free: buymeacoffee.com/fexingo
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    9 mins
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