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

In this episode of B2B Marketing with Fexingo, Lucas and Luna drill into the strategy behind self-serve interactive demos as a demand-generation engine for enterprise sales. They use the example of a cybersecurity SaaS company that replaced its 30-minute sales-led demo with an interactive product tour and saw a 40% increase in qualified pipeline within a quarter. The hosts break down the three key elements: product-led discovery, automated qualification scoring, and seamless handoff to sales. Lucas argues the shift reduces friction for technical buyers, while Luna questions whether self-serve demos can work for complex, high-consideration purchases. They land on a hybrid model where self-serve feeds sales with warmer, better-qualified leads. If you're a B2B marketer wrestling with long sales cycles and account-based marketing, this episode offers a concrete tactic you can test tomorrow.

#SelfServeDemos #InteractiveProductTours #ProductLedGrowth #DemandGeneration #B2BMarketing #SalesPipeline #EnterpriseSales #TechBuyers #ProductMarketing #SalesQualification #Cybersecurity #SaaSMarketing #ABM #BuyerExperience #MarketingStrategy #Business #FexingoBusiness #BusinessPodcast

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Lucas and Luna dive into product-led sales (PLS) — the hybrid go-to-market model that blends product-led growth with traditional sales. They break down how companies like Canva, Calendly, and Snowflake use product usage data to trigger human outreach at the right moment. Lucas explains the 'aha moment' metric and why PLS is becoming the default for B2B SaaS companies targeting mid-market accounts. Luna pushes back on whether PLS works for complex enterprise deals. They also discuss the tools that power PLS — from Pendo to Outreach — and share a concrete four-step framework for marketing teams looking to build a PLS motion. If you're a B2B marketer trying to bridge the gap between self-serve and sales-led, this episode gives you the playbook.

#ProductLedSales #B2BMarketing #DemandGen #SaaS #PLG #SalesEnablement #EnterpriseSales #GoToMarket #Canva #Calendly #Snowflake #AhaMoment #Pendo #Outreach #MarketingOps #FexingoBusiness #BusinessPodcast #Marketing

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Episode 42 of B2B Marketing with Fexingo digs into revenue waterfall attribution—a method that maps every marketing touchpoint from first visit to closed-won deal. Lucas and Luna unpack how one enterprise SaaS company, Cybereason, used a multi-touch linear model to discover that their webinar series was actually the top converting channel, not their search ads. They explain the difference between first-touch, last-touch, and multi-touch attribution, why the leaky bucket analogy is misleading, and how to build a simple waterfall in Google Sheets before buying expensive software. Along the way, they discuss the biggest pitfall: attribution fights between sales and marketing. The episode ends with a concrete tip to start tracking assisted conversions today.

#RevenueWaterfall #MarketingAttribution #B2BMarketing #MultiTouchAttribution #Cybereason #EnterpriseSaaS #DemandGen #ABM #SalesMarketingAlignment #MarketingAnalytics #ConversionPath #FirstTouch #LastTouch #LinearAttribution #GoogleSheets #WebinarConversion #FexingoBusiness #BusinessPodcast

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Episode 41 of B2B Marketing with Fexingo tackles the biggest shake-up in enterprise demand gen: the deprecation of third-party cookies in Chrome, which rolled out earlier this year. Lucas and Luna break down how B2B marketers are pivoting to first-party data strategies, using a concrete case from a $200 million cybersecurity firm that rebuilt its entire ABM engine around zero-party intent signals. They walk through the specific tactics—progressive profiling on gated content, CDP-based account enrichment, and sales-intelligence layering—that turned a 30 percent drop in web-identified leads into a 15 percent increase in pipeline quality within two quarters. The episode also covers the risks of over-relying on first-party data, like sample bias and scale limitations, and why a hybrid approach with clean room partnerships may be the next frontier. If you're a B2B marketer trying to make sense of a post-cookie world, this one's for you.

#B2BMarketing #FirstPartyData #CookieDeprecation #DemandGen #ABM #EnterpriseMarketing #PrivacyFirst #ZeroPartyData #CDP #SalesIntelligence #MarketingOps #PipelineQuality #Cybersecurity #ProgressiveProfiling #DataStrategy #FexingoBusiness #BusinessPodcast #Marketing

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Episode 40 of B2B Marketing with Fexingo explores partner co-marketing as a demand generation strategy. Lucas and Luna break down how companies like HubSpot and Salesforce have used co-marketing to reach new enterprise accounts with shared content, webinars, and events. They discuss the key components of a successful co-marketing agreement — including audience alignment, shared KPIs, and lead-sharing models — and walk through a real example: a hypothetical partnership between a CRM platform and a data enrichment provider. The episode also covers common pitfalls like brand dilution and MQL disputes, and offers practical tips for structuring deals that benefit both sides. If you've ever wondered how to double your reach without doubling your budget, this episode has concrete answers.

#CoMarketing #PartnerMarketing #B2BMarketing #DemandGen #HubSpot #Salesforce #LeadGeneration #ABM #EnterpriseMarketing #ContentSyndication #WebinarMarketing #RevenueOperations #PartnerEcosystem #MQL #PipelineGrowth #BusinessPodcast #FexingoBusiness #MarketingStrategy

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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

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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

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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

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Enterprise buyers trust peer stories more than any demo. In this episode, Lucas and Luna unpack how B2B marketers systematically source, vet, and deploy customer references to compress sales cycles. They walk through a concrete example: a cybersecurity SaaS company that built a reference program around its top 20 accounts, trained champions to speak at events, and turned case studies into deal-closing assets. Lucas explains why the best references aren't always the biggest logos — they're the ones that mirror the prospect's pain. Luna pushes back on the risk of reference fatigue and over-scripting. They also touch on incentives, legal hurdles, and how to measure reference influence on pipeline. A practical playbook for any marketer running long-cycle enterprise sales.

#B2BMarketing #CustomerReferences #EnterpriseSales #CaseStudies #SalesEnablement #ABM #DemandGen #CustomerMarketing #ReferenceProgram #SalesCycle #PeerInfluence #Champions #Marketing #Business #FexingoBusiness #BusinessPodcast #MarketingStrategy #SalesStrategy

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Episode 35 of B2B Marketing with Fexingo. Lucas and Luna dive into account tiering for enterprise ABM — how to decide which accounts get the full-court press and which get efficient nurture. Lucas walks through a specific case from a SaaS company that cut wasted spend by 30% using a three-tier model based on fit, intent, and engagement. Luna challenges whether tiering can miss dark-horse accounts. They discuss scoring models, tier thresholds, and how to adjust tiers quarterly. No fluff — just a tactical framework you can adapt for your own pipeline. Plus, a brief note on why this show stays ad-free and how listeners can support it.

#B2BMarketing #ABM #AccountTiering #DemandGen #EnterpriseSales #IntentData #BudgetAllocation #MarketingOps #SalesAlignment #TierFramework #PipelineManagement #SaaS #RevenueMarketing #FexingoBusiness #BusinessPodcast #MarketingStrategy #LeadScoring #B2BStrategy

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