Email Campaign Generator: Turn a Brief Into Segments, Copy, and Send Rules
Campaign generation starts before copy. The useful output is a decision document that another marketer or operator can review and implement.
Input brief
Provide:
- business goal and primary conversion;
- audience definition and consent source;
- exclusions and competing journeys;
- offer, price, and expiry policy;
- product facts and approved proof;
- send window and timezone;
- channel and volume constraints;
- success and guardrail metrics.
Structured output
| Section | Required output |
|---|---|
| Audience | Include, exclude, eligibility, estimated size |
| Message | Promise, proof, CTA, subject variants |
| Offer | Exact terms, eligibility, expiry, fallback |
| Schedule | Send time, timezone, frequency, follow-up |
| QA | Links, variables, mobile, accessibility, rendering |
| Measurement | Primary metric, guardrails, attribution window |
| Approval | Owner and unresolved questions |
Example brief
Goal: increase activation of new workspaces
Audience: created in the last 14 days, not activated
Exclude: activated, deleted, unsubscribed, support escalation
Offer: none
CTA: send first campaign
Metric: activation; guardrail: unsubscribe and support volumeThe generator should ask how “activated” is defined if the product event is missing.
Send rules
Do not let the model decide eligibility from natural-language descriptions at send time. Convert the approved audience into a query or segment with tests, then let the sending system enforce consent and suppression.
QA and experiment design
Require a control or baseline, one primary variable, a holdout when appropriate, and a stop condition for complaints or errors. Review copy for unsupported claims, ambiguous dates, and false urgency.
The output is ready when a human can approve it and an operator can implement it without interpreting hidden assumptions.
Return an approval-ready brief
Ask the generator to separate facts from decisions:
| Section | Facts | Decision to approve |
|---|---|---|
| Audience | Source list, consent state, size | Inclusion and exclusion rules |
| Offer | Catalog terms and dates | Whether the offer applies to this cohort |
| Message | Approved proof and product facts | Promise, tone, and CTA |
| Schedule | Timezone and send window | Send time and follow-up policy |
| Measurement | Events and attribution window | Primary metric and stop condition |
This makes “the AI wrote it” an insufficient approval. Someone can review the audience and offer separately from the copy.
Ask for missing facts explicitly
Useful generator responses include blockers such as “activation event is undefined,” “offer expiry was not supplied,” or “consent source is missing.” Do not accept a polished campaign that quietly assumes a deadline, audience size, product benefit, or legal claim.
Keep a source list for every factual statement in the draft. Dynamic values such as price, stock, and account state should be resolved at send time from trusted systems, with a fallback or suppression rule.
Build a conflict check
Before scheduling, compare the campaign with active automations. Exclude people who are in a high-priority service flow, have already received the same offer, or are in an experiment’s control group. Add a total exposure cap across campaigns and lifecycle programs, not only a per-campaign cap.
The campaign record should include a versioned audience query, copy version, template version, timezone, estimated volume, approval identity, and rollback or cancel path.
Evaluate the whole campaign
Use a holdout when the goal is behavioral change. Review conversion and margin alongside complaints, unsubscribes, support contacts, delivery failures, and overlap with other journeys. A campaign generator has done its job when the final send is explainable before launch and measurable after it.