『B2B Marketing with Fexingo: Enterprise Demand Gen, ABM, and Long Sales Cycles』のカバーアート

B2B Marketing with Fexingo: Enterprise Demand Gen, ABM, and Long Sales Cycles

B2B Marketing with Fexingo: Enterprise Demand Gen, ABM, and Long Sales Cycles

著者： Fexingo
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Lucas and Luna cut through the fog of B2B marketing hype to focus on what actually moves enterprise revenue: demand generation for six-figure ACV deals, account-based marketing that aligns sales and marketing, and navigating sales cycles that stretch six to twelve months. Each episode takes one core challenge—building a tier-1 ABM program from scratch, measuring pipeline influence without vanity metrics, structuring a lead-scoring model that sales trusts—and examines it through real company cases: how Snowflake’s ABM team orchestrated 200+ target accounts in a quarter, how Salesforce revamped their demand-gen engine after a pipeline slump, or how Gong used intent data to shorten their enterprise sales cycle. Lucas brings the journalist’s rigor—citing specific cost-per-opportunity figures, conversion rates from industry benchmarks, and budget-allocation examples from public earnings calls—while Luna tests each idea against the messy reality of marketing ops, sales alignment, and resource constraints. The show is for heads of demand generation, ABM program managers, and B2B marketing leaders who are tired of platitudes and want the math behind the playbook. Why do so many ABM programs spend 80% of their budget on the bottom 20% of target accounts, and how do you build a data-driven account tiering system that doesn’t require a PhD in statistics? #B2BMarketing #DemandGen #ABM #EnterpriseSales #SalesCycle #MarketingOps #LeadScoring #PipelineManagement #IntentData #SalesTech #MarTech #AccountBasedMarketing #RevenueMarketing #FexingoBusiness #BusinessPodcast #MarketingPodcast #BusinessStrategy #SalesStrategy Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. 経済学
エピソード
  • How B2B Marketers Use Lookalike Audiences for Account Targeting

    How B2B Marketers Use Lookalike Audiences for Account Targeting
    2026/06/08
    Lucas and Luna explore how B2B marketers leverage lookalike audiences to find new accounts that resemble their best customers. They break down the data requirements — at least 500 qualified accounts to build a seed set — and walk through a real example from a cybersecurity firm that used LinkedIn Matched Audiences to target 5,000 accounts, resulting in a 30 percent higher meeting rate. The hosts discuss pitfalls like over-fitting to firmographic data and the importance of layering intent signals. They also touch on how platforms like 6sense and Demandbase build predictive lookalikes using third-party data. By the end, listeners understand when lookalike targeting works best in ABM and how to avoid wasting budget on lookalikes that aren't truly analogous. #B2BMarketing #AccountBasedMarketing #LookalikeAudiences #LinkedInAdvertising #DemandGeneration #ABMTargeting #IntentData #6sense #Demandbase #CybersecurityMarketing #B2BDemandGen #PredictiveMarketing #MarketingOps #EnterpriseMarketing #SalesIntelligence #MarketingStrategy #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    8 分
  • How B2B Marketers Use Predictive Lead Scoring to Boost Conversions

    How B2B Marketers Use Predictive Lead Scoring to Boost Conversions
    2026/06/08
    Lucas and Luna dive into the mechanics of predictive lead scoring for B2B marketing. They explore how machine learning models rank leads based on historical conversion data, using a case study of a SaaS company that increased demo bookings by 34% after implementing a scoring system. The episode covers model training, data sources like firmographics and behavioral signals, and common pitfalls like overfitting to past wins. Lucas explains how predictive scoring differs from traditional rule-based methods, and Luna questions whether it can replace human judgment entirely. The conversation includes specific metrics: a 22% lift in lead-to-opportunity conversion and a 15% reduction in cost per lead. They also touch on tools like HubSpot and 6sense, and how to align scoring with sales follow-up cadences. Perfect for B2B marketers looking to move beyond manual lead qualification. #PredictiveLeadScoring #B2BMarketing #LeadScoring #MachineLearning #ConversionRate #SaaSMarketing #DemandGen #SalesAlignment #HubSpot #6sense #ABM #LeadQualification #MarketingAnalytics #DataDriven #SalesFunnel #FexingoBusiness #BusinessPodcast #Marketing Keep every episode free: buymeacoffee.com/fexingo
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    10 分
  • How B2B Marketers Use Intent Data to Prioritize Accounts

    How B2B Marketers Use Intent Data to Prioritize Accounts
    2026/06/07
    Episode 37 of B2B Marketing with Fexingo zeroes in on intent data — the signals that tell you which accounts are actually researching your category. Lucas and Luna break down how Bombora and G2 capture purchase intent from content consumption and product comparison behavior, and how a cybersecurity firm used these signals to prioritize 200 accounts and close a $500,000 deal three months faster than their typical sales cycle. They explore the difference between first-party and third-party intent data, the limits of keyword-level signals versus topical surging, and why intent data is useless without the right workflow. Practical takeaways for any B2B marketer running ABM or long-cycle enterprise sales. #IntentData #B2BMarketing #ABM #Bombora #G2 #FirstPartyData #ThirdPartyData #DemandGen #EnterpriseSales #MarketingOps #SalesIntel #AccountBasedMarketing #BuyerIntent #FexingoBusiness #BusinessPodcast #Marketing #B2B #SalesCycle Keep every episode free: buymeacoffee.com/fexingo
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    12 分
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