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Essentials

Twenty-Two Of These Thirty Prompts Name A Word Count

A six-slide reel went round: 30 Claude marketing prompts, grouped into five sections — DM scripts and outreach, testimonials and case studies, video scripts and VSLs, webinar and event promotion, email sequences. Six prompts per section, written out in full, no placeholders, nothing withheld.

Read it once and it looks like thirty different ideas. Read the fifth slide and something else jumps out. Four welcome emails, in order, in one sequence:

  • First welcome email — under 220 words
  • Second welcome email — under 250 words
  • Third welcome email — 220–280 words
  • Fourth welcome email — under 260 words

Four emails in the same sequence, four different limits, every one of them within sixty words of the others, and not a word anywhere about why. There is no body of research that says a second welcome email works at 250 and fails at 220. Nobody has measured that. Nobody could.

So we counted the rest of the deck, and the pattern is not an accident.

The source reel — “30 Claude Marketing Prompts”, BANI Academy. Six slides, five categories, thirty prompts written out in full. The footer reads: “Copy a prompt into Claude, then add your own offer, audience and real results.”

Watch the original reel on Facebook →

Twenty-two word counts, six other size limits, two with none

Here is every size instruction in the deck, sorted by how big the thing is.

Band How many The actual numbers used What lives in this band
Under 120 words 8 prompts 75, 80, 80, 100, 100, 100, 100, 110 Every LinkedIn DM, the DM objection reply, the VSL opening hooks, the one-hour webinar reminder
160–300 words 10 prompts 160–210, 180, 200–260, 220, 220–270, 220–280, 240–300, 250, 260, 280 Every welcome email, the case-study email, the objection email, both LinkedIn posts, the 24-hour reminder
400–750 words 4 prompts 400–600, 450, 450–750, ~500 The written case study, the webinar registration page, the long talking-head script, the VSL problem section
Minutes, no word count 4 prompts 60 seconds ×2, ~2 minutes, 3 minutes Spoken pieces: the short talking head, the VSL solution section, the mini case studies, the webinar opening
Sentences 2 prompts 3–5 sentences each; two to three sentences The sales-page social proof blocks, and one paragraph inside the confirmation email
No size limit at all 2 prompts — The 10 testimonial questions and the case-study interview framework
Thirty prompts, twenty-eight size constraints. The two with none are the two that ask for a list rather than a draft — and a list already has a number in it.

Eighteen distinct word specifications across twenty-two prompts. Nothing in the deck explains a single one of them, and nothing could. These are not editorial standards. They are a control surface.

Diagram: what a number in a prompt is actually for

A word count looks like a quality judgement. It is doing something much more mundane and much more useful: it is the cheapest lever you have over a model that, left alone, will write you something longer than you want.

Prompt with no size limit Prompt with a number in it
What you get back Whatever length the model reaches for Roughly the length you asked for
Consistency across runs Varies run to run and model to model Stable — the number is the anchor
What the model drops Nothing. It adds padding instead It has to choose, so it keeps the load-bearing parts
How you grade it By feel Against a number. Either it fits or it does not
What you do on attempt two Say “shorter” and hope Move the number and see what survives
Cost of being wrong You edit the whole thing You change two digits
The exact value matters far less than having one. 220 against 250 is noise; 220 against nothing is the whole difference.

This is also the most practical thing in the deck, and you can lift it without using a single one of the thirty prompts: put a number on the end of whatever you were about to ask for. Not because the number is right, but because an answer that misses a number tells you something, and an answer that is merely “too long” tells you nothing.

And it is the part the documentation backs most directly. Anthropic’s prompting guidance says to be specific about the desired output format and constraints, and there is a blunter line about the current generation of models: “Claude Opus 5 is an exception on verbosity: its default user-facing responses run longer than prior models’… Prompt explicitly for conciseness instead.”

Prompt explicitly for conciseness. That is what twenty-two of these thirty prompts do, whether or not the author ever read that sentence.

The other two numbers: five and three

Size is not the only thing being counted. Two more numbers run through the deck, and together they split the thirty prompts into two completely different kinds of job.

“Write five…” appears in seven prompts. All six DM prompts ask for five DMs. The VSL hooks prompt asks for five hooks. Nothing else in the deck asks for five of anything.

“Include three subject lines” appears in nine. There are ten email prompts in the deck and nine of them ask for three subject lines. The single exception is the webinar registration confirmation — the one email the reader has already decided to open.

Look at where the variants are and where they are not. Every prompt that asks for five of something is under 120 words. Every prompt over 160 words asks for exactly one. That line is not drawn anywhere on the card, but it is drawn perfectly.

The logic is sound and worth stealing. A 90-word DM either lands or gets ignored, you cannot tell which in advance, and generating five costs you nothing — so you generate five and pick. A 500-word case study is going to be edited by hand whatever happens, so five of them is four wasted drafts; you want one and then you work on it. Variants where selection is cheap and editing is pointless. One draft where editing is the actual work.

The subject lines are the same rule applied inside a single piece. You are not going to write four versions of a 250-word email, but a subject line is six words, it is the only part most people will ever see, and three of them is a choice rather than a verdict.

All thirty, with their numbers

# Section The ask The numbers
1 DM & outreach Five LinkedIn DMs to start a genuine conversation; reference their engagement, one thoughtful question ≤80 w each ×5
2 DM & outreach Five cold LinkedIn DMs, personalised with something specific about the prospect ≤100 w each ×5
3 DM & outreach Five LinkedIn DMs that lead with value — an observation or resource, no pitch ≤110 w each ×5
4 DM & outreach Five LinkedIn DMs to training attendees, referencing the session ≤100 w each ×5
5 DM & outreach Five LinkedIn DMs moving a warm prospect toward a discovery call ≤80 w each ×5
6 DM & outreach Five DM responses to a common objection: acknowledge, reframe, keep it open ≤100 w each ×5
7 Testimonial 10 open-ended testimonial questions covering start, challenges, decision, actions, results no size
8 Testimonial A structured case-study interview framework with follow-up questions per section no size
9 Testimonial A case study: result first, then chronological, close on what is possible for someone similar 400–600 w
10 Testimonial An email opening with a client result, one key lesson, soft CTA ≤280 w + 3 subject lines
11 Testimonial A first-person LinkedIn post: client result, story, one lesson, invitation 200–260 w
12 Testimonial A sales-page social proof section: intro plus 3–4 mini case studies 3–5 sentences each
13 Video & VSL A talking-head script: strong hook, one insight, simple CTA, note on tone 60 seconds
14 Video & VSL A longer talking-head script: hook, problem, teaching points with real examples, close 3–5 min / 450–750 w
15 Video & VSL Five VSL opening hooks: specific situation, curiosity, hint at the promise ~75 w each ×5
16 Video & VSL A VSL problem section describing the audience’s situation so they feel understood ~2 min / ~500 w
17 Video & VSL A VSL solution section: how the offer works, what makes it different, why it produces results ~2 min
18 Video & VSL A VSL social proof section: three spoken mini case studies, result first 3 × 60 seconds
19 Webinar A webinar registration page: headline, ideal attendee, outcomes, host intro, CTA ≤450 w
20 Webinar The registration confirmation email: confirm the spot, what to expect, one thing to do first 2–3 sentences (one part)
21 Webinar A 24-hour reminder email: restate outcomes, join link, one way to prepare ≤180 w + 3 subject lines
22 Webinar A one-hour reminder email: time, join link, one reason they signed up ≤100 w + 3 subject lines
23 Webinar A LinkedIn post promoting the live training: problem, gains, date/time, registration CTA 160–210 w
24 Webinar A webinar opening script: credibility through results, who it is for, one instruction 3 minutes
25 Email First welcome email: download link, one line on using it, credibility intro ≤220 w + 3 subject lines
26 Email Second welcome email: a specific result as a short story, one lesson, tease the next ≤250 w + 3 subject lines
27 Email Third welcome email: one genuinely useful insight, no selling 220–280 w + 3 subject lines
28 Email Fourth welcome email: introduce the paid offer as a natural next step, 1–2 lines of proof ≤260 w + 3 subject lines
29 Email A client case-study email: result, before, what you did, reflective line, soft CTA 240–300 w + 3 subject lines
30 Email An email addressing a key objection: acknowledge, specific example or reframe, soft CTA 220–270 w + 3 subject lines
The full deck. Read the right-hand column on its own and the card stops looking like thirty ideas and starts looking like one method applied thirty times.

Thirteen prohibitions, and only one you can check

There is a third habit running through the deck: telling the model what not to do. We count thirteen prompts carrying at least one prohibition — non-salesy, without pitching, avoid defensiveness, not a list, jargon-free, not lecturing, avoid vague claims, no selling, and so on.

Anthropic’s prompting guidance is explicit that this is the weaker move: “Tell Claude what to do instead of what not to do.” Their example is replacing “Do not use markdown” with “Your response should be composed of smoothly flowing prose paragraphs.”

Most of the card’s negatives survive that test because they come attached to a positive — “keep the ask low-pressure, context-based, and framed as a logical next step” does the work, and “without pitching” is just a label on it. The ones that fail are the standalone ones. “Avoid vague claims” is itself a vague claim. There is no output you can hold up against it and say yes or no.

And then there is the best instruction on the whole card, in prompt 25: “avoid ‘Welcome’ or ‘Congratulations.’” That is a prohibition naming two exact strings. You can search the output for them. One prohibition you can grep for beats ten you can only feel.

One bracket in thirty prompts

The reel’s own footer says it plainly: “Copy a prompt into Claude, then add your own offer, audience and real results.” Good advice. Now count the places the deck gives you to put them.

One prompt out of thirty has a placeholder. Number 20, the webinar confirmation email, reads “my webinar: [title] on [date and time]… one thing to do or think about before they join: [describe it]”. Three brackets, in one prompt. The other twenty-nine have none.

That matters most in the testimonial and case-study section, because those six prompts are the ones that cannot work without facts you have not supplied. Paste “write a 400–600 word case study: open with the result” into an empty conversation and the model has exactly one way to proceed: invent a client, invent a before, invent a number. It will do it fluently and it will look like a case study. We have written before about prompts that ask for facts the model does not have; this is that failure with a friendlier face, because here the author told you to add the facts — in six-point type, under the fold, after the prompt you already copied.

The fix costs nothing. Before you paste any of the thirty, paste your material first: the real client, the real before and after, the real numbers. Then the prompt. Reversed, it is a template. In that order, it is a brief.

Four honest caveats

  1. We are not saying the numbers are wrong. We are saying nothing on the card supports 250 over 220, and nothing could — that comparison has not been run. If you have your own open-rate or reply-rate data, your numbers beat these. If you do not, any number in the right band beats none.
  2. The prompts were transcribed from a twelve-second reel. We pulled the video at 720p and read each slide frame by frame. The wording is faithful and we double-checked every figure, but on the longer cards a word could be off. The original is linked above; it is the authority, not us.
  3. The counts depend on where you draw the line. Twenty-two prompts give a word count. Twenty-eight give a size constraint of some kind, if you count minutes and sentences. Both numbers are in this piece so you can use whichever you think is fair.
  4. This deck has a shape, and it may not be yours. Six of the thirty are LinkedIn DMs and four more are LinkedIn posts or webinar promotion. It is built for consultants and coaches selling a service to other professionals. If you sell to consumers on short video, a third of this is not for you — which is fine, as long as you notice before you build a quarter on it.

The one-line version

The thirty prompts are fine. The method underneath them is better: name the artefact, name its size, name one thing to avoid that you could actually search for, and ask for five of it when it is short and one of it when it is long. That is four decisions, it fits in a sentence, and it works on the thirty-first thing you need — which is the one this card does not have.

The companion to this is the same author’s thirty marketing use cases, which collapse into five operations; that card is about what to point Claude at, this one is about how big the answer should be. And if you want the general version of the size instruction, it is the fourth of the four knobs — Format — the cheapest one to turn and the one most people never touch.

Try it on the next thing you ask for. Whatever you were about to type, add a word count to the end of it. Then look at what the model left out to make the number — that list is the draft telling you what it thinks matters least.

The original reel on Facebook →

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