Check whether each company fits your brief, whether the contact has a relevant current role, whether required information is supported, and whether exclusions and duplicates have been resolved. An email-validation result alone cannot answer those questions.
Start with a definition your team agrees on
A list can be full of valid-looking email addresses and still miss your target market. Before reviewing it, write down the campaign purpose and required fields. A company outside your service area should fail the brief even if every column is populated.
Salesforce describes data quality in terms including accuracy, completeness, consistency, and timeliness. 1 For agency prospecting, turn those dimensions into checks against your actual research instructions. The checklist below is an editorial review framework, not a certification or a promise of campaign results.
Review these six questions
Use a consistent review sheet rather than a general impression that the data “looks good.” Record a reason whenever a record is held or rejected.
| Check | What to look for |
|---|---|
| Account fit | Does the company meet the agreed market, business-model, location, and size rules? |
| Role relevance | Is there evidence that this person currently works at the business in a relevant function? |
| Required fields | Are essential fields filled, supported, and clearly distinguished from estimates? |
| Contact status | Are contact-source and verification details recorded where agreed, with unresolved results kept separate? |
| Duplicates and exclusions | Have existing customers, suppressed records, and duplicate entities been reconciled? |
| Handoff | Can the outreach owner import and interpret the file without guessing what the columns mean? |
Review a sample without pretending it proves the whole batch
Take records from different segments and parts of the file. Avoid reviewing only the first few rows or only the records selected by a supplier. If your list contains multiple regions, include each region in the review.
Record the number reviewed, the number meeting every required check, and the reasons for failure. That describes the inspected sample. It does not establish the quality of every unreviewed record or guarantee an equivalent reply rate. If errors repeat, pause acceptance and ask for a wider review.
Separate correctable gaps from unsuitable prospects
Our suggested review labels are “accepted,” “needs research,” and “excluded.” A company with a relevant offer but an outdated job title may need research. A business outside your agreed target segment should be excluded rather than enriched further.
Keep the reason and reviewer alongside the status. Preserve original identifiers so corrections can be matched back to the source file. Ask how replacement records will be checked and how corrected exports will be versioned before agreeing that a batch is complete.
Keep list review separate from email delivery readiness
A well-researched list does not establish recipient interest or guarantee inbox placement. Your outreach team still needs to manage sending configuration, relevance, recipient preferences, and the requirements that apply to its campaign.
Google’s published sender guidelines separately cover authentication and spam-rate requirements for messages to personal Gmail accounts. 2 That illustrates why contact research and sending readiness are different workstreams. Consult the current provider guidance for the sending setup; a spreadsheet cannot verify it.
Ask these questions before buying the next batch
Ask for a sample against your own brief, the definition of every verification status, the handling of unknown values, and the correction process. Request a record of the checks you actually need instead of accepting a broad “verified leads” label.
Use the ICP brief template to tighten targeting before ordering more rows. If the issue is an existing file with missing details or duplicates, the enrichment-versus-cleanup guide will help you scope the next task.
Sources & methodology
This guide combines the primary sources below with CienceLeads editorial recommendations. Examples are illustrative; no original study, client outcome, or search-volume estimate is claimed. Sources checked 2 November 2026.
- Salesforce: Guide to Data Quality ↗
Supports the data-quality dimensions; the acceptance checklist and review labels are CienceLeads editorial recommendations.
- Google: Email sender guidelines ↗
Primary source for separate sending requirements. Provider rules can change; check the current documentation.
Judge a list by the records your team can use for its agreed purpose, with the unresolved records clearly separated.
Explore the relevant research service