In B2B, knowing which company the form-filler works for changes how you qualify: size, sector, location and profile help decide who deserves immediate attention. Much of this information is public and can be used legitimately and proportionately.
The essentials in a definition
Using public company information to qualify B2B leads (sector, size, location, technology) improves commercial prioritisation. However, data about individuals, including business contacts, are personal data and require a legal basis and transparency: see the GDPR, ICO guidance on B2B marketing and electronic-communications rules (ePrivacy).
What company information helps decide
Size, sector, location, technologies used and structure indicate whether the contact is a good prospect. A corporate email and a recognisable domain already say a lot. These clues help prioritise, personalise the reply and decide the channel.
Qualifying is not excluding in a hurry; it is serving better.
Legitimate sources
The form itself (well-thought-out optional fields), the company website, public registers, public professional profiles and licensed commercial databases. Use only information you have legitimate access to and that is proportionate to the purpose. Avoid collecting excessive personal data.
State in the privacy policy how you use the data.
Using company information to qualify
- Define the ideal customer profile
- Use legitimate, proportionate sources
- Score fit and route
- Respect GDPR and update data
How to use it in ads and process
Define the ideal customer profile (sector, size, role) and use it in targeting, exclusions and messages. Score leads according to fit. Route the best-fit ones to quick contact and the others to content. Send the information to sales with context.
Validate with real results: the profile is defined by what closes.
Knowing the contact’s company serves to reply better, not to watch more.
Privacy and good practice
Respect GDPR: purpose, minimisation, transparency and data-subject rights. Distinguish professional from personal data. Do not build invasive profiles or make automated decisions with significant effects without a legal basis. Keep data up to date and delete what you no longer need.
Qualifying well and respecting people are compatible.
Decision table
| Data type | Appropriate use | Caution |
|---|---|---|
| Company data (sector, size) | Segment and prioritise | Verify source and freshness |
| Individual business contact | Contact with legal basis and information | Right to object |
| Inferred data | Support prioritisation | Limited accuracy and bias |
| Purchased lists | Avoid | Dubious origin, lawfulness and quality |
Common mistakes to avoid
- Buying lists without checking origin. Legal risk and low quality.
- Contacting without informing. The data subject must know who is responsible and why.
- Retaining data indefinitely. Set retention periods.
How to measure the result
Track reply rate, lead quality, objection requests and data accuracy.
Limits and exceptions
B2B prospecting rules vary by country and contact type, and this content is informational and does not replace legal advice. Company data goes out of date quickly. Always verify source and lawfulness before using any list.
Illustrative example
Illustrative example: a software company segments by sector and size using public company data, prioritises accounts matching its ideal customer and contacts specific roles through professional channels, with clear information on data origin and an opt-out. It deletes contacts that ask to leave and reviews the database quarterly.
In practice: checkpoints
Record the source and date of each data point you enrich leads with, and discard records you cannot justify. Use company-level data to prioritise and keep personal data to what is necessary, with a clear way to object. Review the list quarterly and remove contacts that no longer fit your criteria, so outreach stays relevant and lawful.
Frequently asked questions
Can I research the company of a form-filler?
Yes, with public sources and proportionality, and stating it in the privacy policy.
Should I ask for many fields?
The necessary ones. Too many lower conversion.
How do I define the ideal profile?
From the customers who gave the most value.
Can I contact business emails?
It depends on the country, the nature of the contact and the legal basis; confirm the applicable rules.
Can I infer information about people?
With caution and transparency; avoid excessive profiling and sensitive data.
Use public company data to qualify, treat personal data with a legal basis and transparency, and avoid lists of dubious origin.
Sources and recommended reading
- General Data Protection Regulation (GDPR)
- ICO: direct marketing and electronic communications
- ePrivacy Directive (2002/58/EC)
Last editorial review: October 2026. Informational content; always confirm current conditions in the official sources before deciding.