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

PODCAST · business

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

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 resourc

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ABOUT THIS SHOW

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 resourc

HOSTED BY

Fexingo

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