A B2B Data Quality Checklist Before You Send

A big list feels like progress. A clean, relevant list is progress. Before you import a new segment or launch a sequence, run the records through a short quality checklist. It will catch the problems that cause bounces, duplicate outreach and compliance headaches.

1. Is the company real and correctly matched?

• The company name and domain agree.
• The website belongs to the company, not a directory, social page or parked domain.
• The record is not a duplicate of an existing company under a different spelling.
• The country, city and industry make sense for the company.

A surprising number of “companies” in imported datasets are social profiles, marketplace listings or misspelled duplicates. Check the domain before you trust the record.

2. Is the contact tied to the right person?

• The name is a person, not a department or a placeholder.
• The role still matches the company and the reason you are contacting them.
• The email local part is consistent with the person and the company's pattern.
• You are not using an info@ or sales@ address as a personal contact.

Public profiles go stale. A person may have changed roles, and a company may have changed domains after a rebrand. If the evidence is old or contradictory, mark the record for review rather than guessing.

3. Has the email been verified?

Separate three states: verified, unverified and risky. A live SMTP check can confirm that a mailbox accepts mail without sending a message. Catch-all domains cannot be confirmed by any provider; they should be labelled risky. Temporary or blocked checks should stay unverified until you can retry.

Do not turn “unverified” into “verified” because a pattern looks plausible. That is how a clean list becomes a bounce problem.

4. Is the data fresh enough to use?

Record when the company and contact were last checked. Re-check high-value accounts before a new sequence, especially if the last update is old. Remove contacts that have bounced, complained or opted out. Freshness is a process, not a one-time import.

5. Can you explain where it came from?

Keep the source and collection date for each record. Public company websites, registries and open map data are different from a purchased list, and your obligations may differ. If you cannot explain the provenance, do not use the record in outbound.

Never cold-mail a purchased or scraped list. If a vendor cannot tell you how the data was collected and whether the contacts consented, that is a reason to walk away.

6. Is the use proportionate and lawful?

Business contact data is still personal data in many jurisdictions. Use it for a relevant business purpose, identify yourself, provide a working unsubscribe and honour objections. Keep a suppression list and apply it across every campaign, not just the one where the opt-out happened.

Rules differ by country and by the recipient's status. If you are unsure, get local advice before scaling.

7. Does the segment make sense?

A technically valid record can still be a bad prospect. Check that the company fits your market, the person owns the relevant function and the message has a real reason to exist. A smaller segment with a clear hypothesis will usually outperform a large generic blast.

A quick scoring pass

• Use now: correct company, relevant person, verified email, fresh source.
• Review: missing role, stale record, catch-all domain or conflicting evidence.
• Reject: wrong domain, purchased source, hard bounce, opt-out, duplicate or placeholder.

Rasmora exposes verification status next to each contact and gates company profiles on useful public data rather than publishing every imported row. Start with a company search, then read the deliverability guide before you send.