PromptSharp › Daily briefs › Marketing › September 11, 2026
PromptSharp Marketing Brief · free web issueMarketing prompt of the day
September 11, 2026 · for Brand and growth marketers, agency strategists, content leads. One sharp, copy-paste prompt — free, every weekday.
Landing page teardown, ranked by fix value
The page converts worse than it should. Get a section-by-section teardown with fixes ranked by value — not a vague 'improve clarity above the fold'.
You are a conversion copy specialist tearing down a landing page. I will paste the page copy and context. Produce: A) A SECTION-BY-SECTION TABLE: section, the job it should be doing, what is working, the specific problem classified (clarity / relevance-to-traffic-source / anxiety / friction / missing proof), and a concrete rewrite suggestion — not 'make it better'. B) The TOP 5 FIXES ranked by expected impact against effort, with reasoning tied to my stated traffic source and conversion goal. Do not cite invented conversion statistics; where the impact rationale needs data I did not provide, say exactly what to pull. C) A MESSAGE-MATCH CHECK: does the first screen answer the intent of the ad, email, or search that brings the traffic I described? If the traffic intent is unknown, name the exact report to check before touching the page. My inputs: [PASTE: page copy top to bottom, traffic sources and their messages, conversion goal, current conversion rate if known] Rules: Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it. Mark every claim I should verify in my analytics or source systems before it is published or presented. Never include customer personally identifiable information or client-confidential terms.
Why it works — Teardowns fail as feedback when everything is priority one. Grading each section against its specific job — and forcing message-match against the actual traffic source — finds the leak that generic best-practices audits miss, which is usually the gap between the ad's promise and the page's first screen.
What changed for Marketing
Can the US battery market untangle from China?
The US is hitting records for the rapid growth of its energy storage market. That’ll go a long way to shoring up the grid, increasing reliability and also cutting emissions, since batteries can help…
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See pricing → About this verticalHow to run “Landing page teardown, ranked by fix value”, step by step
The situation this prompt is built for: The page converts worse than it should. Get a section-by-section teardown with fixes ranked by value — not a vague 'improve clarity above the fold'. Below is exactly what to feed it and what comes back — no model-specific tricks, it runs the same in any chat AI.
Why this structure works
Teardowns fail as feedback when everything is priority one. Grading each section against its specific job — and forcing message-match against the actual traffic source — finds the leak that generic best-practices audits miss, which is usually the gap between the ad's promise and the page's first screen.
On Pro, pro personalization knows your page templates and analytics stack, so fix suggestions reference components you can actually edit and reports you can actually pull.
When to use it — and when not to
Reach for it when
- The page converts worse than it should. Get a section-by-section teardown with fixes ranked by value — not a vague 'improve clarity above the fold'.
- You need the output in a shape you can forward as-is — the fixed structure above is the point.
Skip it when
- You don’t yet have the source material — the prompt is built to refuse to fake it. Its own guardrail: “Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it.” With nothing to work from, you’ll get a list of “not provided” flags, which is honest but not useful. Collect the inputs first.
- The task is genuinely one sentence long — a structured prompt earns its overhead when the output has parts. For quick one-off questions, just ask.
Adapting today’s prompt for adjacent roles
“Landing page teardown, ranked by fix value” sits in the Content & Copy lane of the marketing pool. If your seat is one desk over, these are the same craft-move rebuilt for the neighbouring workflow — pulled from the same curated pool, each free in full at its permalink:
Creative brief builder: from messy kickoff notes to one page
Campaign Strategy & Briefs · same marketing pool
Kickoff happened, the notes are chaos, and creative starts Monday. Get the single-page brief that prevents three rounds of rework.
You are a senior brand strategist writing a creative brief. I will paste my kickoff notes and background material. Produce: A) A ONE-PAGE BRIEF with labeled fields:…
Most creative rework traces to a brief that buried three propositions in one sentence or never defined success. Forcing a single-minded proposition…
Weekly performance read: verdict first, story second
Paid Media & Attribution · same marketing pool
Monday morning, accounts are live, and someone will ask 'how's it going?' by 10am. Turn the exports into a verdict-first read that survives follow-ups.
You are a performance marketing analyst writing the weekly account read. I will paste this period's metrics and context. Produce: A) A VERDICT — on track, drifting, or…
Weekly reads either drown in screenshots or assert causes the data cannot support. Permitting 'cause not visible in this data' is the honesty valve…
Lifecycle leak-finder: where the funnel actually loses people
Lifecycle & CRM · same marketing pool
You own 'retention' in the broadest sense. Map the lifecycle against your real numbers and find the one leak worth a quarter of work.
You are a lifecycle strategist finding the highest-value leak. I will paste my stage numbers and current coverage. Produce: A) A STAGE MAP table: lifecycle stage (as I…
Lifecycle teams sprinkle effort across every stage because everything looks improvable in percentages. Ranking leaks by absolute recoverable volume…
Common failure modes (and the fixes)
- Failure: letting the model drift past the prompt’s own guardrail — “Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
- Failure: letting the model drift past the prompt’s own guardrail — “Mark every claim I should verify in my analytics or source systems before it is published or presented.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
- Failure: letting the model drift past the prompt’s own guardrail — “Never include customer personally identifiable information or client-confidential terms.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
- Failure: accepting the first pass. Fix: reply with one line — “now cut everything that is generic to any company and keep only what is specific to mine” — the cheapest quality doubling available.
Where AI is landing for brand and growth marketers right now
Context for today’s prompt, from the same screened sources the daily brief reads. Our read, with sources linked — the pattern across items like these is consistent: the professionals getting leverage from AI are the ones feeding it real working context, which is exactly the muscle today’s prompt trains.
- Can the US battery market untangle from China? (rss) — The US is hitting records for the rapid growth of its energy storage market. That’ll go a long way to shoring up the grid, increasing reliability and also cutting emissions,…
Quick answers
Is “Landing page teardown, ranked by fix value” free to use?
Yes — every weekday issue of the PromptSharp Marketing Brief publishes one full pool prompt free on the web, and it stays free in the archive. Pro is the daily full prompt set, personalization, and MCP delivery — not a paywall on this page.
Which AI model does this prompt work with?
Any of them. Every PromptSharp prompt is model-agnostic plain text — ChatGPT, Claude, Gemini, Copilot, or a local model. No plugins, no custom GPTs; paste and run.
How is the marketing prompt of the day chosen?
Deterministic rotation over the curated marketing pool — currently 51 prompts across 5 sections — the same single source the paid brief reads. Same date, same prompt: the archive never silently changes under you.
How do I get this in my inbox instead?
The capture form above — PromptSharp Marketing Brief status is honest: live briefs send every weekday; pre-launch verticals email their free list the day the email edition starts.
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