Copywriting LLM Prompts Easy

Bi-Weekly Behind-the-Scenes Newsletter

A bi-weekly behind-the-scenes newsletter featuring a 300-word look at operations, a bullet list of industry news, and a CTA inviting further engagement.

Best Model
ChatGPT GPT-5.5 / Claude Sonnet 4.6Conversion copywriting
Brevity Mode
Concise
Difficulty
Easy
Automation
Needs user context

Use This When

Campaign planning, content calendars, ad creative, copy tests, hooks, CTAs.

Inputs Needed

Offer, audience, pain points, proof, tone, CTA, objections, channel, length limits.

Expected Output

Copy variants organized by hook, body, proof, objection handling, CTA, and recommended test priority.

The Workflow Prompt

Copy-paste ready. Replace [bracketed placeholders] with your specifics.
You are a direct-response copywriter and conversion strategist.

Objective:
Bi-Weekly Behind-the-Scenes Newsletter

Context:
A bi-weekly behind-the-scenes newsletter featuring a 300-word look at operations, a bullet list of industry news, and a CTA inviting further engagement.

Original task:
You are an expert email newsletter writer. I’d like a bi-weekly newsletter for my [business/niche] that offers a 300-word “behind the scenes” look at our operation, plus a short bullet list of any relevant industry news you find via web search. End with a CTA inviting subscribers to learn more or reach out. Make sure to ask me detailed questions about my brand story, what aspects are most interesting to reveal, and how we typically address industry trends so you can complete the task to the best of your ability.

Inputs I may provide:
Offer, audience, pain points, proof, tone, CTA, objections, channel, length limits.

Operating instructions:
- First, restate the objective in one clear sentence.
- If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them.
- Use a Concise response style.
- Be specific to the business, audience, channel, and constraints provided.
- Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use.
- When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources.
- Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead.
- End with a short QA checklist that helps me verify the output.

Required output:
Copy variants organized by hook, body, proof, objection handling, CTA, and recommended test priority.

Caution:
Use live web research or source documents before finalizing claims.

QA Follow-Up Checklist

After the AI returns its output, verify against:

  1. Output is specific to the provided business/context.
  2. Assumptions are clearly labeled.
  3. No unsupported claims without source checks.
  4. Next actions are clear and usable.
  5. Hook, offer, audience, proof, objection, and CTA are addressed.

Follow-Up Prompt

Run this next to refine the first output into a client-ready version.
Now turn the result for 'Bi-Weekly Behind-the-Scenes Newsletter' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.

Avoid / Cautions

Use live web research or source documents before finalizing claims.

How Different Verticals Use This Workflow

Restaurant & Hospitality

A 3-location restaurant group runs a bi-weekly BTS newsletter to a 4K subscriber list (mix of regulars and industry contacts). Each issue shares one real operational decision (killed a menu category, raised prices, hired a new sous chef) plus 3 industry news bullets. Open rate holds at 48% — the highest of any restaurant in their cohort.

Retail & E-commerce

A DTC brand runs a bi-weekly BTS newsletter to 18K subscribers, sharing genuine operational decisions (a product launch delay, a supplier change, a tough Q4 plan) plus industry news. Open rate hits 42%, click rate 8%, and the newsletter drives 6% of monthly revenue without a direct sales CTA.

Professional Services & B2B

A consulting firm partner runs a bi-weekly BTS newsletter to 2K subscribers, sharing real client engagement decisions (anonymized), framework iterations, and industry intel. The format drives 3-5 qualified inbound calls per send — replacing roughly $4K/month of paid lead generation.

Beauty & Personal Care

An indie beauty brand founder runs a bi-weekly BTS newsletter to her 22K subscribers covering formulation decisions, supply chain stories, and ingredient industry news. Open rate hits 51% — the newsletter is her highest LTV channel by a wide margin and drives 18% of subscription conversions.

Local & Trade Services

A regional contractor runs a bi-weekly BTS newsletter to a 3K subscriber list of past clients, prospects, and industry contacts. Shares real project decisions, crew stories, and local trade news. Drives 4-6 referral conversations per send and one major-project lead per quarter directly attributable to the newsletter.

Frequently Asked

What inputs make a behind-the-scenes newsletter feel intimate vs feel performative?

Three things: a real operational decision the team made in the past 2 weeks (not 'we're so excited' — 'we killed our top SKU'), genuine industry intel the reader can't get elsewhere, and a CTA that fits the relationship stage (not 'book a demo' on a free newsletter). Without those, you produce a corporate update dressed as a personal letter. With them, you build a real reader relationship.

Should I use ChatGPT or Claude Sonnet for newsletter writing?

Claude Sonnet 4.6 for the BTS section — it sustains conversational voice without slipping into LinkedIn-cringe. ChatGPT GPT-5.5 for the industry news section where current data matters. Pair ChatGPT with a Perplexity research pass to source the industry news; the base model is 6+ months out of date and will fabricate recent events.

How is this different from a regular company update?

Company updates are sanitized — they list achievements. BTS newsletters expose process, including failures and decisions in flight. A great BTS newsletter has at least one moment that makes the reader think 'they probably shouldn't have shared that.' That's the trust signal. If your output reads like an investor update, you sanitized too much; ask the model for the unflattering version.

When is BTS the wrong newsletter format?

When your business doesn't have interesting operational decisions to share (consultant solo practitioners, agencies that don't ship products). When your audience reads for tactical takeaway and doesn't care about your team — BTS becomes navel-gazing. And when you can't sustain the bi-weekly cadence; intermittent BTS publishing actively hurts the relationship because it signals you forgot the reader.

Related Workflows

Copied to clipboard