Email strategist

Email Strategist — Newsletter Creation Methodology

Purpose

Turn a topic into a complete, client-specific newsletter draft. This skill encodes the strategic decisions that happen BEFORE writing — the layer that separates a branded newsletter from generic AI copy.

Core Principle

The model doesn't matter. The context matters. A mediocre model with perfect client context produces better newsletters than the best model with a generic prompt. This skill ensures every decision is grounded in the client's real documents.

The Anti-SOP Approach

Traditional AI email workflow (what prompt playbooks sell):

1. Create a project in Claude
2. Upload brand assets manually
3. Upload a "strategy PDF" (someone's lead magnet)
4. Paste a master prompt with fill-in-the-blank variables
5. Generate copy
6. Edit manually
7. Repeat from scratch next time — nothing learned

Email Marketing Manager approach:

1. Drive folder exists with your documents (already done)
2. /create Topic: "spring sale" (one command)
3. Newsletter produced — with images from your folder, segment variants based on your personas, angle selected based on what hasn't been used recently
4. /track after it sends — real data recorded
5. Next /create uses those learnings automatically

The difference: no SOP to follow. No prompt to write. No manual upload. No PDF strategy framework from a stranger. No starting from scratch. The skill does the strategic thinking the SOP skips entirely.

Angle Selection

Before writing a single word, determine the angle. An angle is not the topic — it's the specific entry point into the topic that will resonate with this audience at this moment.

Angle Quality Test

Every angle must pass three checks:

1. Not a repeat. Check newsletter history. If this exact angle type was used in the last 4 newsletters, find a different entry point. Repetition kills open rates. If no history exists, any angle is valid.

2. Connects to a real pain point. Check audience personas. The hook must address something a specific segment actually cares about — not what the brand wants to say. Map the angle to a segment pain point explicitly: "This curiosity-gap angle targets the leads segment's concern about [specific pain point from personas doc]."

3. Native to brand voice. If the brand guide says "approachable and warm," a confrontational contrarian hook is a mismatch. If the brand is "operationally honest," hype-driven urgency doesn't fit. The angle must feel natural in the brand's voice.

Angle Types

Type	When to Use	Best For	Open Rate Impact
Problem-first	Audience is problem-aware but solution-unaware	Establishing authority	Above average
Curiosity gap	Audience is engaged but needs a reason to open NOW	Maximizing opens	Highest
Contrarian	Audience holds a common assumption you can challenge	Standing out in inbox	High but variable
Personal/story	Brand has a named person or founder voice	Building relationship	Above average
Urgency	Time-bound offer or seasonal moment	Driving action	High for conversions
Social proof	Evidence of results or community	Reducing skepticism	Average
Educational	Audience values learning and respects expertise	Building trust over time	Steady
Direct value	Audience wants utility, not entertainment	High click-through	Average opens, high clicks

Default rule: Select the angle type that best matches the brand voice. If the brand voice doc says "operationally honest," don't default to urgency or hype. If it says "warm and personal," don't default to educational lecture.

History-aware selection: If learning data shows that contrarian angles consistently outperform for this brand's audience, weight toward contrarian — but don't use it more than 2 out of every 4 newsletters.

When data conflicts with instinct: Trust the data. If the performance-learning data says educational angles underperform for this audience despite the brand guide favoring educational tone, note the tension: "Your brand guide favors educational tone, but tracked data shows educational angles underperform. This newsletter uses [alternative] — if you disagree, override with a tone instruction."

Image Selection from Drive

How It Works

Images live in the client's Drive folder, typically in an images/ subfolder. The client-context skill inventories available images at load time. This skill selects images that match the newsletter.

Selection Logic

1. Topic match — select images related to the newsletter topic. Product newsletter → product shots. People-focused newsletter → headshots or team photos. Seasonal newsletter → seasonal imagery.

2. Placement pattern — match the brand's past newsletter image usage:

   • If past newsletters use hero images: select one strong hero
   • If past newsletters use inline images: select 1-2 supporting images
   • If past newsletters are text-only: don't force images. Note availability for future use.

3. Hero image criteria:

   • High visual impact
   • Relevant to the angle (not just the topic)
   • Hasn't been used in the last 3 newsletters
   • Works at email width (landscape or square preferred for hero)

4. Supporting image criteria:

   • Adds information the text doesn't convey
   • Breaks up long text blocks (for newsletters > 400 words)
   • Consistent style with the brand (don't mix illustration and photography)

When Images Aren't Available

If the images/ folder is empty or doesn't exist:

• Produce the newsletter without images
• At the end, suggest: "No images found in your Drive folder. Adding a few product shots or lifestyle images to [folder]/images/ would strengthen future newsletters."
• Never generate placeholder images or suggest stock photo sites

Image Output Format

For each selected image:

Image: [filename]
Placement: [hero / inline after paragraph N / footer]
Alt text: [descriptive alt text for accessibility]

Writing the Newsletter

Subject Line Rules

• Under 50 characters — renders fully on every device
• No ALL CAPS words (except brand name if that's the style)
• No spam triggers: free, urgent, act now, limited time, exclusive offer, don't miss
• Preview text complements — never repeats the subject line
• One curiosity mechanism per subject line — don't stack hooks
• Match the brand's subject line patterns from history (questions? statements? numbers?)

Body Copy Structure

Adapt to newsletter goal:

Engagement goal (newsletter, relationship building): Hook (1-2 sentences) → Story or observation → Insight that earns trust → Soft CTA (reply, read more, think about this)

Click goal (driving to page, product, article): Hook (1 sentence) → Problem or opportunity → Why clicking matters → Direct CTA with specific destination

Conversion goal (purchase, signup, booking): Hook → Problem → Solution (the product) → Proof (numbers, testimonials, specifics) → Objection handling → CTA with reason to act now

Retention goal (keeping existing customers): Personal hook → What's new or what's coming → Insider value they can't get elsewhere → Appreciation + CTA

Voice Application

Read the brand voice from client-context. Apply through:

• Sentence structure — formal brands use longer, compound sentences. Casual brands use fragments. Match past newsletters.
• Vocabulary — use the brand's word list. If the guide says "avoid: synergy, leverage, game-changer" those words do not appear. Ever.
• Punctuation — em dashes, Oxford commas, exclamation points (or absence). Match the guide.
• Greeting/sign-off — match past newsletter patterns exactly. If past newsletters start with "Hey [first_name]," use that. If they open cold with no greeting, don't add one.
• Length — match past newsletter lengths unless performance data suggests change. If the brand sends 300-word newsletters, don't produce 800 words.
• Personality markers — does the brand use "I" or "we"? Do they ask questions? Do they use parenthetical asides? Match the personality, not just the vocabulary.

The Substitution Test

After writing, check: could this newsletter have been sent by a different brand? Read the body without the brand name. If it sounds generic — if swapping in a competitor's name would still work — the voice application failed. Rewrite the opening and CTA.

This test is pass/fail. Don't narrate success. If it passes, move on. If it fails, fix it.

Segment Variants

What Changes Per Segment

Element	Changes?	How
Subject line	Yes	Different hook targeting segment's primary concern
Preview text	Yes	Complements adjusted subject line
Opening (first 2-3 sentences)	Yes	Rewritten for this segment's entry point
Core body copy	No	Value proposition stays the same
Images	Sometimes	Only if segment context demands different imagery
CTA	Yes	Same action, framed for this segment's motivation
Length	Sometimes	If persona data shows segment prefers shorter/longer

What Does NOT Change

• Brand voice — consistent across all variants
• Core message — the newsletter is about one thing
• Offer details — if there's a specific offer, identical across variants
• Proof points — same evidence, possibly different emphasis
• Image style — consistent visual identity

Variant Quality Test

Each variant must feel written FOR that segment — not like a find-and-replace.

Bad: "As a valued customer..." (could be anyone) Good: "Last month you browsed our spring collection but didn't buy — here's why that might have been smart." (specific behavior)

Bad: "Great news for our subscribers!" (generic) Good: "You told us you care about ingredients. So we changed ours." (specific to a feedback-active segment)

If a variant doesn't pass this test, rewrite the opening. The segment pain point from the personas doc should be recognizable in the first sentence.

Newsletter Record

Every newsletter must be saved as a record:

Newsletter: [title/topic]
Date: [created date]
Angle: [type] — [specific hook]
Segments targeted: [list]
Subject line (primary): [text]
Images used: [filenames or "none"]
Predicted open rate: [X%] ([confidence])
Goal: [engagement/clicks/conversions/retention]

This record accumulates in the Drive folder. By newsletter 5, the system has meaningful history. By newsletter 10, predictions are calibrated to this specific brand and audience. By newsletter 20, the system knows things about the audience that the brand's own team may not have noticed.

Performance Benchmarks (Defaults)

Use only when no client-specific data exists. Always state these are benchmarks:

Metric	B2C	B2B	Creator/Newsletter
Open rate	18-22%	20-25%	25-35%
Click rate	2-3%	2-4%	3-5%
Unsubscribe rate	<0.3%	<0.2%	<0.1%
Best send time	Tue-Thu 10am	Tue-Wed 9am	Tue-Fri 8-10am
Avg length	200-400 words	300-500 words	400-800 words

After the first /track run, benchmarks are replaced with real data. Never use benchmarks when real data exists. Never present benchmarks as predictions.