Data quality

We publish measurements, not adjectives. Every dataset page includes a data quality report calculated from the files currently for sale.

Measures we publish

• Field coverage — the percentage of records with a value. Individual-contact datasets lead with phone, city, region, postcode and email; business datasets with company, phone, email, website and category.
• Country-code formatting — the share of phone values written in international format.
• Malformed phone values — phone values with an impossible number of digits.
• Exact duplicate rows found inside packs.
• Malformed rows with more values than columns.
• Record counts per pack and in total.
• Version and last processed date.

Limits of these measures

• Coverage tells you a value is present, not that it is current or correct.
• Exact-duplicate detection does not catch near duplicates (the same person or business written differently).
• Contact information changes constantly — people move and change numbers, businesses open and close — so any dataset gradually goes out of date.

For this reason we do not claim 100% accuracy. We recommend buying the trial or a single pack and testing a random sample before larger purchases. Our guide on measuring contact database quality explains how.

If a pack is not as described

If a file is corrupted, unreadable, or materially different from the published structure, we replace the pack or refund you. See the refund & replacement policy.