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

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

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

  • How B2B Marketers Use Gated Content to Qualify Leads

    In this episode, Lucas and Luna dive into the strategy behind gated content in B2B marketing. They discuss when to gate, when to ungated, and how to use progressive profiling to qualify leads without killing conversion. Using examples from HubSpot and Salesforce, they explore the tension between lead volume and lead quality, and share tactical tips for optimizing form fields and follow-up sequences. A must-listen for B2B marketers looking to refine their content strategy.

    #B2BMarketing #GatedContent #LeadQualification #ProgressiveProfiling #HubSpot #Salesforce #ContentMarketing #DemandGen #LeadMagnets #MarketingStrategy #ConversionRateOptimization #FormFields #LeadScoring #B2BSaaS #MarketingOps #FexingoBusiness #BusinessPodcast #EnterpriseMarketing

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    8 min
  • How B2B Marketing Salaries Stack Up in 2026

    Lucas and Luna break down the latest B2B marketing compensation data from the 2026 Marketing Salary Survey by the B2B Marketing Association. They discuss how roles like demand gen manager and ABM director have seen base salary increases of 12-15% year-over-year, while specialist roles have lagged. The hosts explore why companies are paying premiums for marketers who can prove pipeline influence, and what that means for career growth in enterprise B2B. Specific salary bands for San Francisco, New York, and remote roles are compared, with a focus on the skill sets that command top dollar.

    #B2BMarketing #MarketingSalaries #DemandGen #ABM #Compensation #MarketingCareers #SalarySurvey #EnterpriseMarketing #B2B #MarketingJobs #PipelineInfluence #RemoteWork #SanFrancisco #NewYork #CareerGrowth #FexingoBusiness #BusinessPodcast #MarketingTrends

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    10 min
  • How B2B Referral Programs Cut CAC by 40 Percent

    Episode 22 of B2B Marketing with Fexingo digs into the underused power of customer referral programs for enterprise sales. Lucas and Luna examine how a cybersecurity brand called Arctic Security cut its customer acquisition cost by 40 percent within six months of launching a structured referral incentive. They walk through the specific mechanics: why cash rewards work better than discounts for long-sales-cycle products, how to tier rewards based on deal size, and why a referral program demands the same operational rigor as an ABM motion. The episode also covers the risks — channel conflict, bad-fit referrals, and the challenge of getting sales teams to actually ask for introductions. Listeners walk away with a concrete framework for building a referral engine that complements existing demand generation. Plus a short beat on how listener support keeps the show ad-free.

    #B2BMarketing #ReferralPrograms #CustomerAcquisitionCost #EnterpriseSales #DemandGen #SalesIncentives #ArcticSecurity #CACReduction #SalesEnablement #ChannelStrategy #RevenueOperations #MarketingROI #ReferralMarketing #B2BSales #GrowthStrategy #MarketingStrategy #FexingoBusiness #BusinessPodcast

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    10 min
  • How B2B Marketers Use Multi-Touch Attribution to Prove Pipeline Impact

    Lucas and Luna tackle one of the most persistent challenges in B2B marketing: proving which touchpoints actually drive revenue. They unpack a Gartner study showing that B2B buying groups average 11 decision-makers, making last-click attribution nearly useless. Lucas shares how one enterprise software company replaced their legacy model with a multi-touch attribution framework that credits marketing for 40% more pipeline influence, and why the C-suite finally bought into it. He explains the difference between first-touch, last-touch, U-shaped, and time-decay models, and gives a concrete example of how weighting content consumption vs. demo requests changed budget allocation. Luna pushes back on whether attribution is worth the engineering overhead, and Lucas walks through the minimum viable setup that doesn't require a data lake. The episode closes with a practical takeaway: start with a simple weighted model in a spreadsheet before investing in a platform. No fluff, no vendor pitches—just a real conversation about connecting marketing spend to closed deals.

    #B2BMarketing #MultiTouchAttribution #PipelineImpact #Gartner #B2BBuyingGroups #MarketingAttribution #DemandGen #ABM #EnterpriseMarketing #MarketingROI #CsuiteBuyIn #MarketingAnalytics #ContentConsumption #SalesAndMarketingAlignment #AttributionModeling #MarketingOps #FexingoBusiness #BusinessPodcast

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    8 min
  • How B2B Marketers Use AI to Personalize at Scale

    In this episode, Lucas and Luna dive into how B2B marketers are using generative AI to create personalized account-based experiences at scale—without blowing up the budget. They break down a real case from a mid-market cybersecurity firm that used AI to generate tailored landing pages, email sequences, and sales plays for each of its top 200 accounts. The result: a 35% lift in meeting rates and a 20% shorter sales cycle. They also discuss the tools (including Jasper and Copy.ai), the pitfalls (generic output, data hygiene), and why the human-in-the-loop still matters. If you're in B2B marketing and wondering how to make AI work for ABM without losing the personal touch, this episode is for you.

    #B2BMarketing #ABM #AI #PersonalizationAtScale #GenerativeAI #DemandGen #SalesCycle #MarketingTech #Jasper #CopyAI #Cybersecurity #AccountBasedMarketing #ContentPersonalization #LeadGeneration #EnterpriseMarketing #FexingoBusiness #BusinessPodcast #MarketingOps

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    9 min
  • How B2B Sales Teams Use Deal Rooms to Close Faster

    In this episode, Lucas and Luna explore the rise of virtual deal rooms in B2B sales — collaborative digital spaces where buyers and sellers interact throughout the buying process. The hosts anchor the discussion around a specific case: how Gong's internal deal room experiment reduced their own sales cycle by 18 percent in 2025. Lucas breaks down why traditional email-and-attachment workflows fail for enterprise deals with 10-plus stakeholders, and how deal rooms solve the 'dossier problem' by keeping all materials, questions, and competitive intel in one place. Luna challenges the framing by asking whether deal rooms are just a repackaged extranet, and Lucas cites data from a 2025 Gartner survey showing that buying groups with access to a deal room are 2.4 times more likely to make a vendor shortlist. The conversation also touches on the tension between giving buyers control and maintaining seller influence, the role of intent signals from deal room activity, and how the best deal rooms feel less like a sales pitch and more like a shared war room. No marketing fluff — just a sharp look at a quietly transformative tool.

    #VirtualDealRooms #B2BSales #SalesCycle #Gong #Gartner #BuyerExperience #EnterpriseSales #SalesEnablement #ABM #IntentData #DealRoom #SalesTech #B2BMarketing #NoAds #FexingoBusiness #BusinessPodcast #Marketing #SalesStrategy

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    13 min
  • How Partner-Led ABM Deals Close 2x Faster Than Direct Sales

    Episode 18 of B2B Marketing with Fexingo dives into partner-led account-based marketing — a strategy where co-branded campaigns with channel partners cut through enterprise inertia. Lucas and Luna break down a real case from a cybersecurity firm that used joint webinars, co-created content, and shared account tiers to accelerate deals by 2x compared to direct-only outreach. They discuss why partner trust opens doors faster, how to align tiering models between organizations, and the metrics that prove co-selling works. The episode includes concrete steps for building a partner ABM playbook, from account selection to performance tracking. If you're in B2B marketing and wondering why your direct ABM campaigns stall at the 6-month mark, this one's for you.

    #B2BMarketing #ABM #PartnerMarketing #ChannelSales #EnterpriseSales #MarketingStrategy #CoSelling #AccountBasedMarketing #B2BSales #MarketingOps #Cybersecurity #JointWebinars #RevenueGrowth #SalesAcceleration #FexingoBusiness #BusinessPodcast #DemandGen #Partnerships

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    10 min
  • How B2B Marketers Use First-Party Data After the Cookie Crumble

    Episode 17 of B2B Marketing with Fexingo dives into a practical case study of how a mid-market SaaS company, CloudVector, transformed its account-based marketing after third-party cookies were deprecated. Lucas and Luna break down how CloudVector built a first-party data engine using zero-party surveys, behavioral scoring, and CRM enrichment to replace lost cookie signals. They reveal specific tactics: how they used progressive profiling to capture firmographic data, how they scored intent from email engagement and content consumption, and how this approach led to a 22% increase in meeting conversion rates and a 15% reduction in cost per qualified lead. The episode also touches on the shift from external data reliance to customer-owned data as a strategic asset. If you're a B2B marketer grappling with the post-cookie landscape, this episode gives you a concrete framework and real numbers to justify your next move.

    #FirstPartyData #B2BMarketing #ABM #CookieCrumble #ZeroPartyData #ProgressiveProfiling #BehavioralScoring #CRMEnrichment #CloudVector #DemandGen #EnterpriseMarketing #MarketingOps #SalesCycle #LeadGen #PrivacyFirst #DataStrategy #FexingoBusiness #BusinessPodcast

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    8 min
  • How B2B ABM Nurture Sequences Convert Cold Accounts

    Episode 16 of B2B Marketing with Fexingo. Lucas and Luna drill into the specific mechanics of nurture sequences for account-based marketing when the target account has zero prior engagement. They break down a real example: how a mid-market cybersecurity vendor used a 60-day, three-phase nurture sequence — triggered by firmographic fit, not intent — to convert 12 cold tier-2 accounts into qualified meetings. They discuss the email cadence (week 1: problem intro, week 2: peer case study, week 3: ROI calculator, week 6: direct outreach from an AE), the role of LinkedIn retargeting, and how the sequence handed off to sales without an MQL stage. No vague ABM theory. Just the actual playbook, the metrics, and the gotchas — including why the vendor removed the demo request button from all nurture emails until day 45.

    #ABM #AccountBasedMarketing #B2BMarketing #NurtureSequences #ColdAccounts #DemandGen #ABMPlaybook #MarketingAutomation #SalesDevelopment #ConversionOptimization #B2BSales #MarketingOps #Cybersecurity #LinkedInAds #EmailMarketing #Business #FexingoBusiness #BusinessPodcast

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    11 min
  • How Intent Data Shortened Our B2B Sales Cycle by 22 Percent

    In this episode of B2B Marketing with Fexingo, Lucas and Luna dive into how one enterprise software company used buyer intent data from G2 and TechTarget to prioritize accounts and shorten their sales cycle by 22 percent. They walk through the actual tiering framework, the trigger events that moved accounts from 'nurture' to 'active', and how the sales team changed their outreach cadence. Lucas shares a specific example of a $1.2 million deal that closed 3 months faster because of a spike in intent from a previously cold account. The hosts also discuss the pitfalls of acting on noisy intent signals and how to set up a feedback loop between SDRs and marketing. No theories, just a real implementation with measurable results.

    #B2BMarketing #IntentData #SalesCycle #ABM #DemandGen #G2 #TechTarget #EnterpriseSales #AccountTiering #SDR #MarketingOps #SalesEnablement #LeadScoring #Business #Marketing #FexingoBusiness #BusinessPodcast #SalesStrategy

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    9 min

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

From the publisher's feed

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?