Expert thinking on productivity, intangible asset valuation, growth strategy, and building more valuable businesses.
In November 2021, some of the world's leading researchers on intangible assets gathered at RSA House in London. Opagio's Chief Scientist David Stroll presented his paper on collecting firm-level intangible asset data.
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Series A due diligence has evolved beyond financials and product demos. Sophisticated investors now assess the full intangible asset portfolio — technology defensibility, customer capital quality, IP strength, and team resilience. Understanding what they look for changes how you prepare.
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How to value non-compete agreements using the With-and-Without method in purchase price allocations. Covers the conceptual framework, scenario modelling, probability weighting, and enforceability considerations.
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Can you lend against customer lifetime value? How AI-enhanced CLV prediction is turning customer relationships into a structured finance asset class.
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A comprehensive annual review checklist for goodwill impairment testing under IAS 36 and ASC 350. Covers triggering events, cash-generating unit identification, recoverable amount calculation, and disclosure requirements.
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The multiple an acquirer pays is not arbitrary. It reflects the quality, defensibility, and transferability of your intangible assets. Founders who prepare their intangible asset portfolio for exit consistently achieve higher multiples than those who prepare only their financials.
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Every funding round dilutes the founder. The question is whether that dilution is justified by the value created. Founders who understand their intangible asset base negotiate from evidence, not hope — and preserve significantly more equity through growth stages.
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Traditional financial forecasting extrapolates from revenue trends and market assumptions. Opagio's growth forecasting takes a fundamentally different approach — projecting future performance from the intangible asset position and investment trajectory that actually drives growth.
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A practical guide to valuing technology intangible assets — including proprietary software, patents, and developed technology — using the Relief from Royalty method and alternative approaches.
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Five critical mistakes growth-stage companies make with AI intangible asset investment — and how to position AI capabilities for a stronger exit.
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Pre-revenue startups are notoriously difficult to value using traditional methods. Revenue multiples fail when there is no revenue. DCF models rely on projections that are mostly fiction. Intangible asset valuation offers a third path — grounded in what a startup has actually built, not what it hopes to earn.
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How to value customer relationships in SaaS acquisitions using the MPEEM method. Covers attrition curve modelling, net revenue retention adjustments, and the critical differences between contractual and non-contractual customer bases.
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