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Example company: factor scores out of 5Record Yield valuation model, example company (85 staff, 9 years, 5 systems, medium personal data)
The five factors that decide what your data is worth
Two companies with the same headcount can be worlds apart in value; the difference is almost always history, breadth and rights.
The five factors
- Scale: more staff means more volume.
- History: years, not months.
- Breadth: several kinds of system.
- Rights and privacy: clear ownership, little customer personal data.
- Buyer fit: outcomes recorded, high-value systems.
The easiest to improve
Rights clarity and record retention: stop deleting history, and confirm what you own. Try the estimator to see your weakest factor.
Key takeaways
- Value is multi-factor, not just headcount.
- History and breadth are often underrated.
- Fix the weakest factor first.
What could your company's records earn?
A free, nine-question estimate. No files, no logins.
More in Guides
How to prepare your records for a sale in 30 days
A week-by-week plan to get company records ready for AI licensing buyers: inventory, rights check, de-identification and outreach.
Why years of history can matter more than headcount
In our model, history moves value as much as size does. Here's how the history score builds.
What a fair data licence contract contains
Ten clauses to look for, from use limits to deletion certificates, before you sign anything.