Data Methodology
Learn how B2B Data Solution organizes, standardizes, matches, checks and reviews business contact records—and where limitations remain.
B2B data methodology
B2B Data Solution processes available business and professional information into structured records users can search by people, company and location criteria. This page explains the process, the meaning of displayed field statuses and the limitations users should understand.
Explore Data CoverageSubmit a Data Request Last reviewed: July 2026Illustrative interface; available fields and coverage vary by record, source and market.On this page
Direct answer
A B2B data methodology documents how business and professional information is obtained, organized, matched, checked, reviewed and corrected. A credible methodology distinguishes between available and validated fields, explains how records can become outdated and avoids treating every contact as equally complete or current.
| Area | Designed to do | Does not guarantee |
|---|---|---|
| Source assessment | Limit processing to permitted source categories and providers | Every source is equally complete or current |
| Standardization | Organize information into consistent searchable fields | Every record contains every field |
| Matching | Associate professional and company information where possible | Every match is error-free |
| Deduplication | Identify likely duplicate records | No duplicate can ever remain |
| Contact checks | Assign applicable availability or quality statuses | Every email or phone remains active |
| Ongoing review | Process updates, corrections, opt-outs and removals | Every record is monitored in real time |
Source framework
B2B contact and company records can be assembled from more than one permitted source category. The exact source mix, available fields and review timing may differ between records.
Permitted means B2B Data Solution has a documented legal, contractual or operational basis to process the relevant information for the stated purpose. Public visibility alone is not presented as automatic permission to collect, redistribute or use personal data without limitation.
Different sources may describe the same person or company differently and may have different dates or update cycles.
Data processing lifecycle
Information is assessed against the source category, permitted use, supported fields and applicable suppression rules.
02Professional and company information is formatted and classified into consistent searchable fields.
03Supported signals help associate professional information with the most likely company record.
04Combinations of identifiers help find records that may describe the same person or company.
05Available emails and phone numbers may undergo applicable format, domain, mailbox, numbering or other checks.
06Records may be corrected, updated, suppressed or removed when relevant information or a valid request is received.
Field status and availability
A status reflects a defined check or classification at a point in time. It is not a permanent promise that a contact field remains active or that a person still holds the same role.
AvailableThe field is present. Presence alone does not mean it passed every check. Checked or ValidatedThe field passed the checks associated with the displayed status at the recorded time. Catch-All or Accept-AllThe domain may accept messages without confirming whether a specific mailbox exists. UnknownAvailable checks did not provide enough information for a more confident classification. UnavailableThe field is not currently available for the record. Update RequiredAvailable information suggests that the field or relationship may need review before use.Quality and limitations
Evidence standard
An accuracy, deliverability or bounce-rate claim is meaningful only when the tested field, sample, method, dates, markets, procedures, exclusions, observed result and limitations are documented. Until that evidence is available, B2B Data Solution describes field availability and validation methodology without a blanket percentage.
Identify the field, status, sample size, selection method and test dates.
Document the countries, segments, tools, procedures and exclusions.
Report observed results with context and name the responsible reviewer.
Corrections and data rights
People and organizations can ask what information is held, report an error, request a correction or submit an applicable opt-out, restriction or deletion request.
Requests are authenticated to a reasonable degree, recorded, routed for review and handled within the timeframe required by the applicable policy or law. Suppression controls help prevent removed information from being reintroduced without an appropriate basis.
Submit a Data RequestRead the Privacy PolicyCommon questions
No. Source categories and available fields differ between records, as can source dates and review timing.
No. A record may contain only some supported professional and company fields. Review availability before unlocking or exporting data.
No. Available means a field is present. A separate displayed status communicates the result of applicable checks.
No. Validation reflects defined checks at a point in time. Mailbox changes, provider policies and sender reputation can still affect delivery.
Matching rules use combinations of supported identifiers to reduce likely duplicate people or companies, but cannot guarantee that no duplicate remains.
Review timing differs by source, field and record. A single update frequency is not claimed for the entire database.
Yes. Use the Data Request process to report inaccurate information or request an applicable correction, suppression or removal.
No. Responsible and lawful use depends on the customer’s purpose, location, recipient, communication channel, transparency and opt-out handling.
Review before selecting data
Review supported markets, categories and fields, then inspect displayed availability and status information before selecting records.
Explore Data CoverageSearch B2B ContactsData quality does not replace responsible use. Customers remain responsible for the rules applicable to their workflow.