Match existing records
Assess existing contacts and company identifiers against agreed matching criteria.
Make existing business records more complete with suitable business email information. Build a clearer contact picture around the people and companies you already know.
Review incomplete professional records and assess available business contact information using agreed project criteria.
Assess existing contacts and company identifiers against agreed matching criteria.
Review available business email information and matching suitability.
Check selected data attributes and flag uncertain results for further review.
Receive the agreed output with appended fields and record-level information.
Practical ways to improve the completeness of existing business records.
Review available business email information and improve the contact context your team uses for research, sales preparation and account planning.
Discuss Your DataReview business records with missing email fields and assess potential additions.
Prepare more complete contact data for relevant business development workflows.
Add available professional contact information to existing account records.
Existing customer and prospect records may contain incomplete business contact fields. Email appending helps assess whether suitable additional information can be matched to those records.
| Record | Existing Field | Email Field | Status |
|---|---|---|---|
| Example 01 | Professional Name | Not supplied | Pending review |
| Example 02 | Company Name | Not supplied | Pending review |
| Example 03 | Business Domain | Not supplied | Pending review |
| Record | Matching Action | Illustrative Output | Status |
|---|---|---|---|
| Example 01 | Professional match assessment | Potential email field | Example |
| Example 02 | Company match assessment | Match requires review | Example |
| Example 03 | Domain check | Not confirmed | Example |
A defined approach to reviewing records, matching available information and preparing your requested data output.
Discuss the supplied data, missing fields and required output.
Assess available identifiers against agreed matching criteria.
Add suitable business email fields where supported information is available.
Review the appended information and flag records requiring attention.
Provide the agreed export in Excel, CSV or a suitable custom format.
Understand matching, data quality, sample review and responsible use.
Email appending is the process of assessing existing records and adding suitable email information when a sufficiently supported match is available. The approach depends on the original data and the agreed project scope.
Company names, professional names, job titles, business domains and other relevant identifiers can support matching. The usefulness of each field depends on the quality and completeness of the input records.
No. Matching results depend on the identifiers supplied, available sources and agreed verification criteria. Records without a sufficiently supported match can remain blank or be flagged.
You can share the structure and required fields of your CRM export. Atlas Data Bytes can then discuss file suitability, data handling and the proposed matching approach.
Yes. You can request a sample or example output to assess the proposed field structure and suitability before deciding to proceed.
Business contact information should be used in accordance with applicable privacy and marketing regulations, including relevant notice, consent and opt-out requirements. Data availability does not automatically establish permission to send marketing messages.
Tell us which information is missing from your existing records. We can discuss the matching requirements and project delivery options.
Describe your existing records, missing business email fields, target geography and preferred delivery format.
Enquiry information is used to respond to your request. Privacy Policy
Share your audience criteria and our team will review relevant sample options.