If you are a CFO at a growth-stage company, you almost certainly have detailed visibility into your financial metrics. You know your revenue run rate, your burn, your gross margins, and your unit economics. You have dashboards for everything that carries a pound sign.
But ask yourself this: do you have the same visibility into the assets that generate those numbers?
For most companies, the answer is no. The assets that drive competitive advantage — workforce expertise, proprietary data, organisational processes, customer relationships — are managed by intuition rather than measurement. They are acknowledged in board presentations as qualitative strengths but never quantified with the same rigour applied to financial KPIs.
This matters because investors are increasingly asking about these assets. And because companies that measure them make better capital allocation decisions.
Companies that systematically measure their intangible assets make better capital allocation decisions and command stronger valuations. The seven-category framework below provides a practical starting point for any CFO.
Based on the academic research on intangible capital — drawing on work from the OECD, The Productivity Institute, and the foundational framework developed by Corrado, Hulten, and Sichel — intangible assets can be organised into seven categories. Each represents a distinct type of non-physical resource that contributes to a company's productive capacity and market value.
What it includes: The skills, knowledge, experience, and judgment embedded in your workforce. This covers formal qualifications, on-the-job training, tacit knowledge developed through experience, leadership capability, and the collective problem-solving capacity that emerges when effective teams work together over time.
How to measure it: Track investment in training and development as a percentage of revenue. Monitor skill gap assessments over time. Measure retention rates for key knowledge holders. Track the time it takes new employees to reach full productivity. Survey employees on their perceived capability growth.
Why it matters: In knowledge-intensive businesses, human capital is typically the largest single intangible asset. It directly determines the company's capacity to execute, innovate, and adapt. Companies that underinvest in human capital may sustain growth in the short term but will struggle to scale effectively.
What it includes: Patents, trademarks, copyrights, trade secrets, design rights, and proprietary algorithms. These are the intangible assets most likely to be formally recognised because they have legal protection and established valuation methodologies.
How to measure it: Maintain a register of all IP assets with their current status, filing dates, and estimated economic lives. For revenue-generating IP, track the income attributable to each asset. For defensive IP, estimate the cost savings from avoiding licensing fees. Track R&D investment as the pipeline that feeds future IP creation.
Why it matters: IP is often the most tangible of the intangibles. It provides legal defensibility, licensing revenue potential, and strategic value in M&A transactions. But it represents only a fraction of most companies' total intangible asset base.
While IP is the most formally recognised category, it typically represents only 10-20% of a company's total intangible asset base. The remaining 80-90% sits in the less visible categories below — which is precisely why a comprehensive measurement framework matters.
What it includes: Proprietary datasets generated through operations — customer behaviour data, transaction records, operational performance data, market intelligence, and training data for machine learning models.
How to measure it: Catalogue all proprietary datasets. Assess each for uniqueness (can a competitor replicate this?), comprehensiveness (how complete is the dataset?), timeliness (how current?), and strategic utility (what decisions or products does it enable?). Track dataset growth rates and usage intensity.
Why it matters: Data is becoming one of the most strategically important asset classes. Companies sitting on unique, comprehensive datasets have competitive advantages that compound over time. Yet data assets are almost never valued on the balance sheet or reported to investors.
What it includes: The depth and durability of customer relationships, brand reputation, customer loyalty, network effects, and the cumulative trust a company has built with its market.
How to measure it: Net revenue retention is the single most important metric — it captures whether existing customers are expanding their spending. Supplement with customer lifetime value, churn rates, Net Promoter Score, brand awareness metrics, and the concentration of revenue across customer segments.
Why it matters: A company with deeply embedded customer relationships has a fundamentally different risk profile than one dependent on continuous new customer acquisition. Customer relationship capital provides revenue stability, expansion revenue, and referral-driven growth that reduces acquisition costs over time.
What it includes: The documented and undocumented systems, routines, workflows, and cultural norms that govern how a company operates. This includes quality management systems, standard operating procedures, decision-making frameworks, internal communication structures, and the accumulated institutional knowledge about what works.
How to measure it: Assess process documentation coverage — what percentage of critical business processes are documented and maintained? Track onboarding time for new employees as a proxy for how effectively organisational knowledge is transferred. Monitor process cycle times and error rates as indicators of operational maturity.
Why it matters: Organisational capital is what allows a company to scale without breaking. Companies with strong process knowledge can absorb rapid growth, survive leadership transitions, and enter new markets with confidence. Those without it tend to hit operational ceilings at each growth inflection point.
What it includes: The company's capacity to develop new products, services, processes, and business models. This goes beyond the R&D budget — it encompasses innovation culture, experimentation frameworks, prototyping capabilities, research partnerships, and the organisational structures that support creative work.
How to measure it: Track R&D investment as a percentage of revenue. Monitor the innovation pipeline — number of active projects, time from concept to launch, success rate. Measure the revenue contribution of products or features launched in the past 12-24 months. Assess whether the organisation has formal experimentation processes.
Why it matters: Innovation capital is a leading indicator. A company with a healthy innovation pipeline is building future revenue streams and competitive advantages. A company that has stopped innovating — even if current revenues are strong — is living on borrowed time.
What it includes: Strategic relationships with suppliers, distributors, technology partners, channel partners, and other external stakeholders. This includes exclusive agreements, preferential terms, deep integrations, and the trust and collaboration that develops over long partnerships.
How to measure it: Catalogue strategic relationships and assess their economic impact. Track supplier concentration risk. Measure partner-sourced revenue. Evaluate the switching costs associated with key partnerships — high switching costs indicate deep relationship capital.
Why it matters: In complex value chains, the strength of external relationships directly affects a company's cost structure, speed to market, and resilience. Companies with strong supplier and partner capital can weather supply disruptions, access better terms, and reach customers more efficiently.
The seven categories above are not meant to be another reporting burden. They are a lens for making better decisions.
A SaaS company will likely find that human capital, data assets, and innovation capital are the dominant categories. A professional services firm might weight human capital and customer relationships most heavily. Start by identifying the 2-3 categories most material to your specific business model.
| Category | Key Metric | Measurement Frequency |
|---|---|---|
| Human Capital | Training spend as % of revenue | Quarterly |
| Intellectual Property | IP register + revenue attribution | Quarterly |
| Data Assets | Dataset growth rate + usage intensity | Quarterly |
| Customer Relationships | Net revenue retention | Monthly |
| Process Knowledge | Onboarding time to full productivity | Quarterly |
| Innovation Capital | Revenue from products launched in 12-24 months | Quarterly |
| Supplier & Partner Relationships | Partner-sourced revenue + switching cost | Annually |
For each material category, establish two to three measurable indicators. Track them quarterly, alongside your financial KPIs — a growth accounting approach can help formalise this process. Over time, you will build a picture of how your intangible asset profile is evolving — and you will have the data to connect intangible investments to financial outcomes.
Use the Intangible Asset Valuator to assess your company across all seven categories, or explore related terms in the Opagio Glossary.
When you sit down with your investors, you will be able to show not just what the company has achieved, but what it has built. And that is a fundamentally different — and more compelling — conversation.
Start by running your company through the Intangible Asset Valuator to see which categories represent your strongest competitive advantages.
This is the fifth in a series of articles on intangible asset valuation and growth accounting. Read the complete guide: The Complete Guide to Intangible Asset Valuation
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