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In episode 65 of Tech M&A with Fexingo, Lucas and Luna dive into a growing trend in software acquisitions: buyers are tying earnout payments to the target's customer acquisition cost (CAC) post-close. They explore why Salesforce's 8.5% drop this week has put CAC efficiency under a microscope, how a hypothetical $200 million SaaS deal might include a CAC multiplier earnout, and why this shift forces sellers to fix their marketing data before signing. A practical breakdown for founders and dealmakers.
#SoftwareM&A #Earnouts #CustomerAcquisitionCost #SaaS #MergersAndAcquisitions #TechDeals #Salesforce #CRM #PrivateEquity #MarketingEfficiency #UnitEconomics #SaaSDeals #DueDiligence #Business #Finance #TechM&A #FexingoBusiness #BusinessPodcast
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Episode 64 of Tech M&A with Fexingo explores a new clause appearing in software acquisition term sheets: earnouts tied to AI inference energy costs. Lucas and Luna break down why buyers like Microsoft and Oracle are adding kilowatt-hour targets to deal structures, how cloud cost volatility is driving the shift, and what it means for founders negotiating exits in mid-2026. With NVIDIA up 2.7% over five days and Salesforce down 8.5%, the hosts connect the dots between data center power demand and M&A strategy. A concrete look at how electricity bills are becoming a deal-breaker.
#TechM&A #SoftwareAcquisitions #AIEnergyCosts #Earnouts #MergersAndAcquisitions #CloudCosts #InferenceCosts #DataCenterPower #Microsoft #Oracle #NVIDIA #Salesforce #Business #Technology #FexingoBusiness #BusinessPodcast #MAndA #AIInfrastructure
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Enterprise software buyers are increasingly tying earnout payments to the target company's cloud infrastructure efficiency — not just revenue or retention. Lucas and Luna break down why Amazon, Microsoft, and Google's cloud pricing changes are forcing dealmakers to audit AWS, Azure, and GCP spend before closing. Using ServiceNow's recent 7 percent drop as a case study in how cloud-heavy companies get penalized in M&A, they explore a new clause that's reshaping tech deal terms in 2026.
#SoftwareM&A #CloudCosts #Earnouts #AWS #Azure #GCP #ServiceNow #TechDeals #CloudEfficiency #MergersAndAcquisitions #Business #Technology #FexingoBusiness #BusinessPodcast #Finance #CloudEconomics #SaaS #DueDiligence
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Software M&A earnouts are notoriously risky for sellers — a buyer's shifting priorities or accounting changes can wipe out millions in contingent payments. But a new product is emerging: earnout insurance, where a third-party insurer guarantees the payout based on objective metrics. In this episode, Lucas and Luna examine how this shifts the balance of power in deal negotiations. They look at a hypothetical $50 million SaaS acquisition where the seller bought a policy covering 80% of the $10 million earnout, costing roughly 3-5% of the covered amount. They discuss which metrics are insurable (revenue retention, gross margin) versus subjective ones (product roadmap milestones), and how this changes earnout structuring. With software buyers like Microsoft and Salesforce pulling back on deal volume in Q2 2026 — Microsoft down 2.9% in the last five days, Salesforce down 8.5% — sellers are looking for certainty. The episode also touches on the broader trend of financial innovation in M&A, referencing how Go's recent IPO in Japan could spur more tech acquisitions. Finally, Lucas and Luna note that this is part of a larger shift toward making earnouts less adversarial.
#EarnoutInsurance #SoftwareM&A #MergersAndAcquisitions #DealStructuring #SaaS #RevenueRetention #EarnoutRisk #InsuranceProduct #TechDeals #Business #BusinessPodcast #FexingoBusiness #Podcast #Finance #Acquisition #SellerProtection #DealNegotiation #ContingentPayment
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In this episode of Tech M&A with Fexingo, Lucas and Luna dive into a quiet but seismic shift in software deal terms: earnouts increasingly tied to net revenue retention (NRR) rather than gross revenue growth. Using real data from recent mega-deals—including ServiceNow's 7% stock drop last week and Salesforce's 8.5% slide—they explain why buyers now prioritize sticky customer bases over splashy new logos. The conversation explores how NRR-based earnouts change seller incentives, why venture-backed startups with high churn are getting squeezed, and what this means for founders negotiating terms in June 2026. Lucas draws on industry reports showing NRR-driven earnout clauses in over 60% of SaaS acquisitions over $50 million this year. Luna questions whether this shift rewards truly durable businesses or simply penalizes early-stage innovation. Perfect for founders, M&A bankers, and anyone tracking how the software market is rewriting the rules of acquisition.
#SoftwareM&A #NetRevenueRetention #Earnouts #SaaS #TechM&A #ServiceNow #Salesforce #Founders #VentureCapital #BusinessPodcast #FexingoBusiness #Acquisitions #Churn #RevenueRetention #DueDiligence #DealTerms #SoftwareAcquisitions #TechDeals
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Episode 60 of Tech M&A with Fexingo dives into a new twist in software dealmaking: buyers are now auditing AI model churn data and user-engagement metrics before closing. Lucas and Luna discuss the Elastic-DeductiveAI deal announced today as a case study — an $85 million acquisition where AI model retention and inference costs became key negotiation points. They explore why traditional revenue retention earnouts are being replaced by AI performance targets, and how this shift is reshaping valuation models for startups with AI features. The conversation also touches on Snap's spin-off of its AI video team into Dotmo, signaling a broader trend of cost-conscious AI restructuring. If you're a founder, acquirer, or investor in the software space, this episode offers a concrete look at the new due diligence frontier.
#SoftwareM&A #AIChurn #Elastic #DeductiveAI #Dotmo #Snap #AIEarnouts #TechDeals #MergersAndAcquisitions #Business #Technology #Podcast #FexingoBusiness #BusinessPodcast #TechM&A #Earnout #AIAudit #InferenceCosts
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Episode 59 of Tech M&A with Fexingo. Lucas and Luna drill into a shift that's reshaping software deal terms in 2026: acquirers are now demanding audits of the target company's AI training data. They use ServiceNow's recent acquisition of a small AI startup — where the buyer discovered post-close that the model was trained on copyrighted code — as the anchor case. Lucas breaks down how this risk shows up in due diligence, what the earnout clauses look like now, and why Salesforce's 8.5% drop this week might be accelerating this trend. Luna pushes on the practical challenges: can auditors really verify training data provenance in a two-week window? The conversation lands on a concrete takeaway: if you're selling an AI-native company in 2026, expect a new set of data-rights schedules in your SPA.
#SoftwareM&A #AIAudit #TrainingData #DueDiligence #EarnoutClauses #ServiceNow #Salesforce #Copyright #DataProvenance #TechDeals #Business #Technology #MergersAndAcquisitions #AICompliance #IPRisk #FexingoBusiness #BusinessPodcast #TechM&A
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Lucas and Luna dig into a quietly transformative shift in software M&A: acquirers are now pricing customer concentration directly into deal terms. Drawing on recent data — Salesforce down 7 percent in a week, Snowflake still trading at 234 with a 75-plus price-to-earnings ratio — they explore why a buyer might pay 12 times revenue for a SaaS company that has 60 percent of its revenue from one client, and only 6 times for the same metrics with a concentrated base. They walk through a real example: a compliance software company with one bank customer that drove most of its growth, and how the earnout structure had to be rewritten to protect the acquirer. They also discuss how the shift is pushing sellers to diversify revenue earlier, and why some private equity firms are now requiring concentration audits before even signing a letter of intent. A practical, numbers-driven conversation for anyone who builds, buys, or sells software companies.
#SoftwareM&A #CustomerConcentration #SaaS #Earnouts #MergersAndAcquisitions #TechDeals #RevenueRisk #Salesforce #Snowflake #PrivateEquity #Business #Finance #BusinessPodcast #FexingoBusiness #TechMergers #AcquisitionStrategy #RevenueDiversification #DueDiligence
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Episode 57 dives into a new clause appearing in software M&A term sheets: earnouts tied to AI model accuracy, latency, and uptime guarantees. Lucas and Luna examine the forces driving this shift, from buyer skepticism about AI ROI to seller pressure to validate technology claims. They discuss real examples, including how one mid-market SaaS company's earnout structure changed after an audit revealed model drift. The conversation also touches on the broader implications for startups and acquirers navigating the AI gold rush. Plus, a candid moment about how this ad-free podcast stays sustainable.
#SoftwareM&A #AIEarnouts #TechAcquisitions #AIModelPerformance #M&A #SaaS #AIROI #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #LucasAndLuna #TechDeals #AI #MachineLearning #EarnoutStructure #ModelDrift #DueDiligence #StartupExit
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In this episode of Tech M&A with Fexingo, Lucas and Luna dive into a fast-growing trend in software acquisitions: cybersecurity audits as formal earnout conditions. With high-profile breaches driving buyer caution, earnout agreements are now tying a portion of deal value to post-close security posture—covering everything from penetration testing to SOC 2 compliance. Lucas breaks down the data: nearly 40% of software M&A deals in Q1 2026 included security-related milestones, up from just 12% two years ago. They walk through a real-world case where a $300 million acquisition of a SaaS platform nearly fell apart after a pre-close vulnerability audit. Luna raises the tough question of whether these clauses protect buyers or just shift leverage away from founders. Tied to recent headlines on Qualcomm's hardware talent acquisitions and Oracle's 6.4% drop, this episode offers a practical look at how cybersecurity is reshaping deal structures.
#SoftwareMA #Earnout #Cybersecurity #TechDeals #MergersAndAcquisitions #DueDiligence #SaaS #Business #Technology #Compliance #SOC2 #PenetrationTesting #Qualcomm #Oracle #DataBreach #DealStructure #FexingoBusiness #BusinessPodcast
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