Reviewing AI sales email personalization
How can we check that AI sales emails are meaningfully personalized?
Personalization cannot be judged from changes to company names or industries alone. Check whether verified company information explains the proposal and reason for contact. Compare batches as well as individual drafts for inappropriate repetition.
Who this is forSales managers using AI to draft emails for multiple companies
Personalization alone does not determine results. Prospect fit and reply handling also need review.
Decide which parts vary by company
Separate fixed introductions and signatures from prospect facts and proposal reasons. Changing every sentence does not establish personalization if the proposal is irrelevant.
Read whether the verified information actually leads to the offer. Check for product-name insertion followed by generic praise or descriptions suitable for any company.
Verify each fact and proposal
Compare cited products and business information with the source. Check whether AI added demand or problems absent from the source. Keep your stated capabilities within internally verified limits.
When shortening, preserve the outreach reason, offer and next action. Character counts alone can remove information needed to assess the proposal. Review paragraphs on a smartphone as well.
Compare subject lines and reasons across drafts
Alongside individual review, place several drafts in one table. Different wording may still repeat the same irrelevant reason. Separate legitimate fixed text from inappropriate proposal repetition.
Scroll horizontally to view the table.
| Field | Compare |
|---|---|
| Prospect fact and source | What was verified for each company |
| Connection with your offer | Whether the fact explains the proposal |
| Subject | Whether it matches the message |
| Next action | Whether the recipient can make the requested decision |
| Human edits | Misquotations, unnecessary praise or capability errors |
Similar offers may be appropriate for multiple companies. Revisit research or drafting when company information is decorative and does not inform the proposal.
Review edits separately from sales results
Record why people revised drafts so reviewers can share useful checks. Fewer edits and more replies or meetings are different outcomes.
Assess drafting with citation errors and edit reasons. Assess sales results with reply content and later conversations. Record differences in target conditions and timing when comparing results.
The MAILGORI service page describes AI-assisted drafting followed by human review, revision and approval of recipients and messages.
Evidence and sources
Review criteria proposed by CosmoSketch from MAILGORI’s published support policy and outreach preparation procedures. This article reports no client performance figures or effects.