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When a company acquires a software target, the speed at which new customers can go live is now a pricing factor. Lucas and Luna examine how implementation velocity — the time from signed contract to first active user — is being treated as a earnout metric and valuation multiplier. They reference recent mega-deals like the Snowflake acquisition of a data integration startup where implementation speed was factored into the purchase price. Luna shares data from a 2026 survey of PE-backed SaaS rollups showing that targets with under-30-day implementations command a 15-20% premium. They also discuss how buyers audit implementation documentation and customer onboarding flows during due diligence, and why a slow implementation process can tank a deal.
#SoftwareM&A #ImplementationVelocity #TechDeals #SaaS #DueDiligence #Earnout #PEBacked #Snowflake #Valuation #CustomerOnboarding #B2BSaaS #MergersAndAcquisitions #RevenueOperations #FexingoBusiness #BusinessAndTechnology #BusinessPodcast #TechMergers #AcquisitionStrategy
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In this episode of Tech M&A with Fexingo, Lucas and Luna explore how strategic acquirers are shifting focus from simple revenue retention metrics to a deeper metric: customer relationship tenure. Using recent data showing Palantir up 14.5% over five days and Adobe up 8.4%, they discuss how long-term customer contracts are becoming a premium in software deals. Lucas explains why buyers now discount targets with high churn rates even if net revenue retention looks good, and Luna questions whether this shift penalizes younger high-growth companies. They examine real-world case studies, including how Bending Spoons' recent IPO highlights the value of sticky user bases. This episode drills into a specific angle not covered in previous shows: how acquirers are now modeling customer lifetimes based on tenure cohorts, not just average contract length.
#SoftwareM&A #CustomerTenure #MergersAndAcquisitions #RevenueRetention #Palantir #Adobe #BendingSpoons #IPO #ChurnRate #CustomerLifetimeValue #StrategicBuyers #TechDeals #ValuationMetrics #CustomerStickiness #BusinessPodcast #FexingoBusiness #TechM&A #PodcastEpisode
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In this episode of Tech M&A with Fexingo, Lucas and Luna explore a new angle in software dealmaking: how buyers are now pricing in the composition of the target's engineering team. They break down why a balanced mix of senior and junior developers is increasingly treated as a valuation metric, using real-world examples like a recent mid-market CRM acquisition where the buyer adjusted the earnout based on team structure. Lucas references Adobe's 8.4% five-day stock gain as a contrast to the hidden risks in smaller targets. The hosts discuss how acquisition teams are auditing not just code quality but the ratio of architects to coders, and why a top-heavy team with no bench can slash multiples by 1 to 2 turns. They also touch on the implications of AI tools like Claude Code (cited in a recent Alibaba ban) and how they change the calculus on team productivity. A must-listen for founders, corporate development officers, and anyone involved in tech M&A.
#SoftwareM&A #TechDeals #TeamComposition #EngineeringTeams #Valuation #AcquisitionStrategy #MADueDiligence #TechTalent #CRM #Adobe #Alibaba #ClaudeCode #AI #Business #Technology #FexingoBusiness #BusinessPodcast #Podcast
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In episode 91 of Tech M&A with Fexingo, Lucas and Luna explore a subtle but powerful factor shaping software acquisition valuations: the remaining term length of customer contracts. They anchor on a real-world example: a hypothetical SaaS company with 80 percent enterprise contracts, average 18-month terms, renewing at 90 percent-plus rates. Lucas explains why strategic buyers now discount targets where contracts roll too quickly, using Salesforce and Adobe as framing. They discuss how the shift from annual to monthly billing in some AI tools is creating valuation tension, and how private equity and strategic buyers diverge on term length preferences. The conversation draws on recent market data — ServiceNow trading at 8 times forward revenue, Palantir up 14.5 percent in five days — to show how the market rewards recurring revenue depth. By the end, listeners understand why a two-year contract is worth more than a one-year contract, and how buyers are systematically pricing that difference.
#TechM&A #SoftwareAcquisitions #CustomerContracts #RevenueDuration #ContractLength #SaaS #Valuation #PrivateEquity #StrategicBuyers #RecurringRevenue #EnterpriseSales #ServiceNow #Palantir #Salesforce #Adobe #Business #FexingoBusiness #BusinessPodcast
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Episode 90 of Tech M&A with Fexingo dives into a subtle but expensive deal-breaker: how contract renewal language now shapes valuations. Lucas and Luna examine a recent acquisition where a target's auto-renewal clauses boosted its multiple by two turns, while another saw its earnout crater because a key customer's renewal notice period was too short. They walk through actual language buyers are flagging in due diligence, from evergreen vs. opt-in clauses to price escalation caps and termination-for-convenience windows. Drawing on current market data—Adobe up 8.4%, ServiceNow up 8.1%, Snowflake up 4.5%—they connect the trend to a broader push for revenue visibility in a high-multiple environment. If you're a founder, CFO, or buy-side analyst, this episode gives you a concrete checklist for the next deal.
#SoftwareM&A #ContractRenewal #RevenueVisibility #EarnoutStructures #DueDiligence #SaaS #RecurringRevenue #Adobe #ServiceNow #Snowflake #TechAcquisitions #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #MergersAndAcquisitions #PrivateEquity #CorporateDevelopment #DealRoom
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Episode 89 of Tech M&A with Fexingo. Lucas and Luna dig into a quiet but powerful shift in software acquisition deal terms: warranty escrows. As buyers tighten due diligence on AI-generated code, open-source license compliance, and data provenance, the old 12-month escrow holdback is being replaced by tiered, metric-driven structures tied to code-scan outcomes and customer audit results. Lucas walks through a recent mid-market deal where the escrow was split into three tranches—one for license compliance, one for AI-tainted code, one for revenue recognition—and how the public comps are starting to mirror that. Market data from July 3, 2026 frames the conversation: Palantir up 14.5% in five days, ServiceNow and Adobe also surging, Oracle down 5.6%. The hosts explore why software buyers are now treating escrow not as a formality but as a risk-transfer instrument—and what that means for sellers who don't have clean code histories.
#TechMA #SoftwareAcquisitions #WarrantyEscrow #MADealTerms #AICodeRisk #OpenSourceCompliance #DueDiligence #MidMarketDeals #AcquisitionStructuring #CodeScanning #RevenueRecognition #DataProvenance #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #PodcastEpisode #LucasAndLuna #TechDeals
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Episode 88 of Tech M&A with Fexingo examines a new frontier in software dealmaking: the valuation of proprietary training data. Lucas and Luna break down why strategic buyers are now discounting targets whose AI models rely on unlicensed web-scraped data, and how a recent $2.1 billion acquisition by a major tech company explicitly priced in a data provenance premium. They discuss the legal risks from pending copyright cases, the rise of data due diligence as a standard deal term, and what this means for startups building on synthetic or licensed datasets. With references to current market movers like Palantir and ServiceNow, and a nod to Mark Zuckerberg's recent admission that AI agents haven't progressed as fast as hoped, the hosts explore how data quality is becoming as critical as code quality in M&A valuations. A practical episode for founders, investors, and operators navigating the new data-aware deal environment.
#SoftwareM&A #AIData #DataLicensing #M&A #TechDeals #Business #Finance #Podcast #FexingoBusiness #BusinessPodcast #DataProvenance #DueDiligence #Palantir #ServiceNow #Copyright #WebScraping #StartupValuation #AITraining
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Episode 87 of Tech M&A with Fexingo dives into why strategic buyers are now auditing data quality before signing software deals. Lucas and Luna examine how cleaning dirty data can cost millions post-acquisition, with real examples from CRM and marketing automation acquisitions. They cite new due diligence checklist items and reference recent market moves — Palantir up 14.5% in five days, ServiceNow up 8.1% — to show how data-centric companies command premiums. The conversation also touches on how revenue recognition tied to data accuracy is becoming a deal-breaker. If you're building or acquiring a software company, this is the new frontier of risk in tech M&A.
#SoftwareM&A #DataQuality #AcquisitionRisk #DueDiligence #Palantir #ServiceNow #CRM #RevenueRecognition #DataGovernance #TechDeals #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #MergersAndAcquisitions #DataAudit #CustomerData #SubscriptionRevenue #DataCleanup
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Lucas and Luna explore a new front in software M&A due diligence: customer relationship depth. Using the recent Bending Spoons IPO as a case study — which surged 40% on its first day of trading after an $18 billion IPO — they examine how acquirers are moving beyond simple retention metrics to evaluate the strength of customer relationships, including multi-product adoption, contract duration, and support ticket sentiment. Lucas explains why relationship depth has become a key pricing factor in deals, especially for vertical SaaS and platform companies. Luna highlights how buyers are now using AI to analyze customer interaction data as part of their valuation process. The conversation covers how this trend is reshaping earnouts and deal structures, with practical implications for founders planning an exit.
#SoftwareM&A #CustomerRelationshipDepth #BendingSpoonsIPO #VerticalSaaS #DealPricing #Earnouts #MergerAndAcquisition #CustomerRetention #AIinM&A #BusinessPodcast #FexingoBusiness #Business #Technology #SoftwareAcquisitions #ValuationMetrics #CustomerChurn #PlatformDependency #DueDiligence
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In this episode, Lucas and Luna explore how software acquirers are increasingly pricing platform dependency risk into deal valuations. With major cloud platforms like AWS, Azure, and Google Cloud raising API fees, changing terms, or introducing competing products, buyers now scrutinize how deeply an acquisition target is tied to a single platform. Lucas breaks down a recent example: how an acquirer discovered a target's core product relied on a single cloud provider's proprietary service, triggering a 30% valuation haircut. Luna raises the question of whether platform dependency is the new customer concentration risk, and they discuss how due diligence now includes analyzing migration costs, contract lock-in, and the target's ability to run on alternative infrastructure. They also touch on the recent surge in enterprise software stocks like ServiceNow and Snowflake, and what that means for acquisition premiums. A must-listen for founders and corporate development teams navigating tech M&A in 2026.
#PlatformDependency #SoftwareM&A #TechDeals #CloudVendorLockIn #DueDiligence #MergersAndAcquisitions #Technology #Business #CloudComputing #AWS #Azure #GoogleCloud #ValuationRisk #Migrations #ServiceNow #Snowflake #FexingoBusiness #BusinessPodcast
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