Score

Descriptor

1 – 2 None

No external monetisation, barter, or observed pricing. Data is used only internally; no credible external demand identified yet.

3 – 4 Minimal / experimental

Small‑scale pilots, one‑off deals, or ad‑hoc barters. Revenue or value in kind is negligible relative to the size of the dataset or business.

5 – 6 Emerging

Some recurring external revenue (or consistently used for barter/discounts) from a few customers/partners. Still a side‑business vs core line.

7 – 8 Significant

Meaningful, recurring revenue stream, or regular use for commercial advantages (e.g. better terms) with multiple counterparties. Shows up as a recognisable data product or line of business.

9 – 10 Major line of business

Substantial, growing revenue and/or strategic commercial leverage. Data monetisation is treated as a core product line or differentiator in external relationships.

Score

Descriptor

1 – 2 Very low

No clear external use cases; few plausible buyers or partners. Comparable products rarely seen in the market.

3 – 4 Niche

Potential interest from a small set of players (e.g. a specific vertical). Comparable data exists but serves a narrow audience.

5 – 6 Moderate

Several identifiable customer segments or partner types; comparable products listed on data marketplaces or sold by brokers. Some inbound interest or positive market testing.

7 – 8 High

Strong potential demand across multiple sectors or geographies. Marketplaces, brokers, or partners already active in this category; clear evidence this class of data sells.

9 – 10 Strategic

Highly sought‑after category; multiple industries or platforms actively chase this data. Losing exclusivity would clearly weaken competitive position.

Score

Descriptor

1 – 2 Weak / commoditised

Must be heavily discounted to sell. Pricing is low compared to similar datasets; margins thin after acquisition/processing costs.

3 – 4 Limited

Modest price points; often bundled or given away to support other products. Customers are very price‑sensitive; little room to increase prices.

5 – 6 Reasonable

Solid, market‑aligned pricing (per record, per API call, per subscription). Margins acceptable after costs, but not exceptional.

7 – 8 Strong

Premium pricing vs comparable data; customers accept higher rates due to uniqueness, timeliness, or quality. Good leverage in contract negotiations.

9 – 10 Very strong

Data commands top‑tier prices and favourable terms (revenue share, minimum commitments). High margins and sustained pricing power despite wider distribution.

Score

Descriptor

1 – 2 Severely constrained

Legal, contractual, ethical, or regulatory barriers effectively prevent external monetisation (e.g. no rights, strict privacy/sector rules).

3 – 4 Heavily restricted

Monetisation is only possible under narrow conditions (e.g. strong anonymisation, limited geos, very restricted use cases). Complex, high‑friction contracting.

5 – 6 Moderately constrained

Clear rights to monetise in several contexts, but with meaningful restrictions (e.g. specific industries, purposes, or aggregation levels). Compliance effort non‑trivial.hdsr.mitpress.mit+1

7 – 8 Broad rights

Generally free to license or barter the data subject to standard data protection and contractual controls. Most plausible commercial use cases are allowed.

9 – 10 Extensive / flexible rights

Very broad rights and low friction to monetise (e.g. clean IP ownership, robust privacy‑preserving design). Easy to create multiple data products/derivatives for different markets.