Email Campaign Flow
Marketing Official v1.2.0Audience segmentation, copy, A/B test plan, and send schedule
by skrptiq
Sign in to import this skrpt into your workspace.
Sign inWhat's included 9 nodes
Email Campaign Flow
Audience segmentation, copy, A/B test plan, and send schedule
A/B Test Analysis
Interprets experiment results and recommends winning variants
Email Campaign Composition
Writing the email campaign copy variants that make up the deliverable, per audience segment and campaign objective
Analyze A/B Test
Core prompt for interpreting A/B test results
Email Campaign Brief
Collects email campaign details, audience, and goals
Email Campaign Writer
Task prompt for generating email campaign copy
GDPR Marketing Compliance
Reference for GDPR compliance in email marketing
Email Marketing Playbook
Best practices and processes for email marketing campaigns
Email Template HTML
Base HTML template for email campaigns
Requirements 1 service, 1 data type
- LLM Service
- pii
Security Passed
Detected
- Services: llm-service
- Permissions:
- Data Handling: pii
Version history 19 releases
GH#863 (K-045 intent/output mismatch) — the `email-campaign-writer` prompt, which produces the actual email campaign (the deliverable), was never invoked by the workflow: the pipeline built a brief, ran A/B analysis, and wrote subject lines but never wrote the emails. Wired it in as the last content step before language-polish via a new backing skill `email-campaign-composition` (`from_step` addressable), binding its inputs from upstream (campaign brief ← Audience Segmentation, subject lines ← Headline Writing) as explicit `context_params`. Re-pinned `polish-language`→1.0.6 and bound its `source` ← Email Campaign Composition so the output step polishes the campaign, not the positional previous step. Manifest skills 1→2, total 8→9.
GH#845 — republish with American English (en-US) content, completing the source-only GH#805 flip that never reached the Hub. Copy only — no functional or behaviour change.
GH#745 — declare per-step `output: {name, type}` on every execution step (campaign_brief/text, ab_test_analysis/text, subject_lines/list, polished_email/text). Lights up the #744 rich flow-map with named, typed outputs. Content-only; no bindings or logic changes.
GH#643 — declared GDPR + CAN-SPAM compliance. The skrpt generates marketing email copy and templates governed by these frameworks (mandates GDPR-compliant unsubscribe language, embeds the CAN-SPAM-required company address, unsubscribe and privacy links, and ships a GDPR marketing-compliance reference source). Declaring `requires.compliance: [gdpr, can-spam]` makes the manifest honest about what the workflow operates under; the scanner now resolves the previously-undeclared `compliance-gdpr` / `compliance-can-spam` findings to declared.
GH#645 Row 3b — migrate to K-037 dep-referenced schema. Strip 9 inline shared-content files and declare 9 hub-shared deps (UUID id + slug name + version + checksum from `gen-dep-checksums.mjs`). Closes pre-Step-3 inline-vendoring for this bundle.
Wave 2: re-signed with canonical engine signing pipeline.
Signature fix — RELEASE_NOTES.md now included in integrity checksum.
Initial catalogue release with full structural and content-quality validation. All scanner checks pass.
Release notes unavailable for this version.
Release notes unavailable for this version.
Release notes unavailable for this version.
Release notes unavailable for this version.
Release notes unavailable for this version.
Release notes unavailable for this version.
Release notes unavailable for this version.
Release notes unavailable for this version.
Release notes unavailable for this version.
Release notes unavailable for this version.
Release notes unavailable for this version.
More from Marketing
View all →Product Launch Marketing Flow
Go-to-market marketing plans for product launches — messaging, channels, timeline, and measurement
Ad Copy Pipeline
Audience targeting, copy generation, variant testing, and optimization
SEO Content Pipeline
SEO-optimized content strategy, keyword research, and on-page optimization