tomevault-io Newsletter publishing
Practical workflows for building and managing email newsletters for journalism and academia.
When to activate
- Creating a new newsletter from scratch
- Designing email templates for journalism content
- Building and segmenting subscriber lists
- Analyzing newsletter performance metrics
- Planning editorial calendars for newsletters
- Migrating between newsletter platforms
- Improving deliverability and open rates
Newsletter architecture
Content strategy framework
## Newsletter strategy document
### Core identity
- **Name**:
- **Tagline** (one line):
- **What readers get**: [specific value proposition]
- **Frequency**: [ ] Daily [ ] Weekly [ ] Bi-weekly [ ] Monthly
### Target audience
- Primary reader:
- What they care about:
- Why they'll subscribe:
- What they'll do with this info:
### Content pillars
1. [Core topic 1] - [how often]
2. [Core topic 2] - [how often]
3. [Recurring feature] - [how often]
### Voice and tone
- Formal ↔ Conversational: [1-5]
- Serious ↔ Light: [1-5]
- Reported ↔ Personal: [1-5]
### Success metrics (first 6 months)
- Subscriber goal:
- Target open rate:
- Target click rate:
Issue structure template
## [Newsletter Name] - Issue #[XX]
**Date**: [Date]
**Subject line**: [Subject]
**Preview text**: [First 50-90 characters readers see]
---
### Opening hook
[2-3 sentences that make readers want to keep reading]
### Main story
[Your primary content - 300-600 words for most newsletters]
### Secondary items (if applicable)
- **Quick hit 1**: [Brief item with link]
- **Quick hit 2**: [Brief item with link]
### Recurring section
[Weekly column, data point, recommendation, etc.]
### Sign-off
[Personal note, call to action, or preview of next issue]
---
**Unsubscribe** | **Preferences** | **Forward to a friend**
Technical implementation
HTML email template (responsive)
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>{{newsletter_name}}</title>
<style>
/* Reset styles for email clients */
body { margin: 0; padding: 0; width: 100%; }
table { border-collapse: collapse; }
img { border: 0; display: block; }
/* Responsive container */
.container {
max-width: 600px;
margin: 0 auto;
font-family: Georgia, serif;
font-size: 18px;
line-height: 1.6;
color: #333;
}
/* Dark mode support */
@media (prefers-color-scheme: dark) {
.container { background-color: #1a1a1a; color: #e0e0e0; }
a { color: #6db3f2; }
}
/* Mobile styles */
@media only screen and (max-width: 480px) {
.container { padding: 15px !important; }
h1 { font-size: 24px !important; }
}
</style>
</head>
<body>
<table role="presentation" width="100%">
<tr>
<td align="center" style="padding: 20px;">
<div class="container">
<!-- Header -->
<table width="100%">
<tr>
<td style="padding-bottom: 20px; border-bottom: 2px solid #333;">
<h1 style="margin: 0;">{{newsletter_name}}</h1>
<p style="margin: 5px 0 0; color: #666;">{{issue_date}}</p>
</td>
</tr>
</table>
<!-- Content -->
<table width="100%">
<tr>
<td style="padding: 30px 0;">
{{content}}
</td>
</tr>
</table>
<!-- Footer -->
<table width="100%">
<tr>
<td style="padding-top: 20px; border-top: 1px solid #ddd; font-size: 14px; color: #666;">
<p>You're receiving this because you subscribed to {{newsletter_name}}.</p>
<p>
<a href="{{unsubscribe_url}}">Unsubscribe</a> |
<a href="{{preferences_url}}">Update preferences</a>
</p>
</td>
</tr>
</table>
</div>
</td>
</tr>
</table>
</body>
</html>
Python newsletter sender
from dataclasses import dataclass, field
from datetime import datetime
from typing import List, Dict, Optional
from enum import Enum
import hashlib
class SubscriberStatus(Enum):
ACTIVE = "active"
UNSUBSCRIBED = "unsubscribed"
BOUNCED = "bounced"
COMPLAINED = "complained"
@dataclass
class Subscriber:
email: str
name: Optional[str] = None
subscribed_at: datetime = field(default_factory=datetime.now)
status: SubscriberStatus = SubscriberStatus.ACTIVE
tags: List[str] = field(default_factory=list)
custom_fields: Dict = field(default_factory=dict)
@property
def hash_id(self) -> str:
"""Generate unique ID for unsubscribe links."""
return hashlib.md5(self.email.encode()).hexdigest()[:12]
@dataclass
class NewsletterIssue:
subject: str
preview_text: str
html_content: str
plain_text: str
scheduled_at: Optional[datetime] = None
sent_at: Optional[datetime] = None
issue_number: int = 0
# Metrics
sent_count: int = 0
delivered_count: int = 0
opened_count: int = 0
clicked_count: int = 0
bounced_count: int = 0
unsubscribed_count: int = 0
@property
def open_rate(self) -> float:
if self.delivered_count == 0:
return 0.0
return (self.opened_count / self.delivered_count) * 100
@property
def click_rate(self) -> float:
if self.delivered_count == 0:
return 0.0
return (self.clicked_count / self.delivered_count) * 100
class NewsletterManager:
"""Core newsletter operations."""
def __init__(self, name: str):
self.name = name
self.subscribers: List[Subscriber] = []
self.issues: List[NewsletterIssue] = []
def add_subscriber(self, email: str, name: str = None,
tags: List[str] = None) -> Subscriber:
"""Add new subscriber with double opt-in pending."""
sub = Subscriber(
email=email.lower().strip(),
name=name,
tags=tags or []
)
self.subscribers.append(sub)
return sub
def segment_subscribers(self, tags: List[str] = None,
min_engagement: float = None) -> List[Subscriber]:
"""Get subscribers matching criteria."""
active = [s for s in self.subscribers
if s.status == SubscriberStatus.ACTIVE]
if tags:
active = [s for s in active
if any(t in s.tags for t in tags)]
return active
def calculate_engagement_score(self, subscriber: Subscriber) -> float:
"""Score subscriber engagement 0-100."""
# Implementation would track opens/clicks per subscriber
return 50.0 # Placeholder
Subscriber management
List hygiene workflow
from datetime import datetime, timedelta
def clean_subscriber_list(manager: NewsletterManager,
inactive_threshold_days: int = 180) -> dict:
"""Identify and handle inactive subscribers."""
cutoff = datetime.now() - timedelta(days=inactive_threshold_days)
results = {
'total': len(manager.subscribers),
'active': 0,
'inactive': [],
'bounced': [],
'unsubscribed': []
}
for sub in manager.subscribers:
if sub.status == SubscriberStatus.BOUNCED:
results['bounced'].append(sub.email)
elif sub.status == SubscriberStatus.UNSUBSCRIBED:
results['unsubscribed'].append(sub.email)
elif sub.status == SubscriberStatus.ACTIVE:
# Check last engagement
engagement = manager.calculate_engagement_score(sub)
if engagement < 10: # Very low engagement
results['inactive'].append(sub.email)
else:
results['active'] += 1
return results
def run_reengagement_campaign(inactive_subscribers: List[str]) -> None:
"""Send win-back campaign to inactive subscribers."""
# Send "We miss you" campaign
# If no engagement after 2 attempts, mark for removal
pass
Subscriber segmentation
## Recommended segments
### By engagement
- **VIPs**: Open rate > 80%, always click
- **Engaged**: Open rate 40-80%
- **Casual**: Open rate 10-40%
- **At-risk**: Haven't opened in 90 days
- **Inactive**: Haven't opened in 180 days
### By interest (tag-based)
- Topic preferences from signup
- Content they've clicked
- Surveys/polls they've answered
### By source
- Organic (website signup)
- Referral (forwarded by friend)
- Social media
- Paywall/registration wall
Subject line optimization
High-performing patterns
## Subject line formulas that work
### For news/journalism
- **Breaking format**: "Breaking: [Concise news]"
- **Numbers**: "[X] things we learned about [topic]"
- **Question**: "Why did [entity] do [thing]?"
- **Direct**: "[Topic]: What you need to know"
### For analysis/opinion
- **Take**: "The real story behind [event]"
- **Contrarian**: "Why everyone is wrong about [topic]"
- **Insider**: "What [industry] insiders know about [topic]"
### What to avoid
- ALL CAPS
- Excessive punctuation!!!
- Clickbait that doesn't deliver
- Spam trigger words (FREE, URGENT, ACT NOW)
- Misleading preview text
A/B testing framework
import random
from typing import List, Tuple
def ab_test_subject_lines(subscribers: List[Subscriber],
subject_a: str,
subject_b: str,
test_percentage: float = 0.2) -> dict:
"""
Test two subject lines on subset before full send.
"""
test_size = int(len(subscribers) * test_percentage)
test_group = random.sample(subscribers, test_size)
# Split test group
half = len(test_group) // 2
group_a = test_group[:half]
group_b = test_group[half:]
remaining = [s for s in subscribers if s not in test_group]
return {
'group_a': {
'subject': subject_a,
'subscribers': group_a,
'size': len(group_a)
},
'group_b': {
'subject': subject_b,
'subscribers': group_b,
'size': len(group_b)
},
'remaining': {
'subscribers': remaining,
'size': len(remaining),
'note': 'Send winner to this group after test period'
},
'test_duration_hours': 4
}
Deliverability best practices
Email authentication setup
## DNS records for deliverability
### SPF record
v=spf1 include:_spf.youresp.com ~all
### DKIM
- Generate keys through your ESP
- Add TXT record with public key
- Verify signature is applied to outgoing mail
### DMARC
v=DMARC1; p=quarantine; rua=mailto:dmarc@yourdomain.com
### Checklist before sending
- [ ] SPF, DKIM, DMARC configured
- [ ] Sending domain warmed up
- [ ] List is clean (no hard bounces)
- [ ] Unsubscribe link works
- [ ] Physical address in footer (CAN-SPAM)
- [ ] Test email received in inbox (not spam)
Spam score checklist
## Before you send
### Content checks
- [ ] No spam trigger words
- [ ] Text-to-image ratio good (mostly text)
- [ ] All links are to reputable domains
- [ ] No URL shorteners (use full links)
- [ ] Plain text version included
### Technical checks
- [ ] From address matches sending domain
- [ ] Reply-to address is monitored
- [ ] Preheader text is set
- [ ] Images have alt text
- [ ] Links are not broken
Analytics and optimization
Key metrics dashboard
from dataclasses import dataclass
@dataclass
class NewsletterAnalytics:
"""Track newsletter performance over time."""
issue: NewsletterIssue
def summary(self) -> dict:
return {
'issue_number': self.issue.issue_number,
'sent': self.issue.sent_count,
'delivered': self.issue.delivered_count,
'delivery_rate': self._pct(self.issue.delivered_count,
self.issue.sent_count),
'opens': self.issue.opened_count,
'open_rate': self.issue.open_rate,
'clicks': self.issue.clicked_count,
'click_rate': self.issue.click_rate,
'click_to_open': self._pct(self.issue.clicked_count,
self.issue.opened_count),
'unsubscribes': self.issue.unsubscribed_count,
'unsubscribe_rate': self._pct(self.issue.unsubscribed_count,
self.issue.delivered_count),
}
def _pct(self, numerator: int, denominator: int) -> float:
if denominator == 0:
return 0.0
return round((numerator / denominator) * 100, 2)
# Benchmarks (journalism newsletters)
BENCHMARKS = {
'open_rate': {'good': 40, 'excellent': 55},
'click_rate': {'good': 4, 'excellent': 8},
'unsubscribe_rate': {'acceptable': 0.5, 'concerning': 1.0},
}
Platform comparison
| Platform | Best for | Pricing model | Key feature |
|---|---|---|---|
| Substack | Writer-first, paid subs | Revenue share | Built-in payments |
| Buttondown | Developers, minimal | Per subscriber | Markdown native |
| Ghost | Publishers, memberships | Flat fee | Full CMS included |
| beehiiv | Growth-focused | Freemium | Referral tools |
| ConvertKit | Creators | Per subscriber | Automation |
| Mailchimp | Small orgs | Tiered | Easy templates |
Legal compliance
CAN-SPAM requirements (US)
- [ ] Accurate "From" name and email
- [ ] Non-deceptive subject line
- [ ] Physical postal address included
- [ ] Working unsubscribe mechanism
- [ ] Unsubscribe honored within 10 days
- [ ] No purchased lists
GDPR requirements (EU subscribers)
- [ ] Explicit consent obtained (not pre-checked)
- [ ] Clear privacy policy linked
- [ ] Easy unsubscribe process
- [ ] Data export available on request
- [ ] Data deletion on request
- [ ] Record of consent stored
Related skills
- web-scraping - Automate content gathering for newsletters
- data-journalism - Include data visualizations in emails
- academic-writing - Write clear, structured content
Skill metadata
| Field | Value |
|---|---|
| Version | 1.0.0 |
| Created | 2025-12-26 |
| Author | Claude Skills for Journalism |
| Domain | Publishing, Marketing |
| Complexity | Intermediate |
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