MarketingCollectible prompt

Find where a landing page loses visitors, then fix it

Use real visitor data and a five-second test to find where people drop off, then fix the worst leaks.

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Find where a landing page loses visitors, then fix it

Act as a conversion specialist. Audit the landing page at {{website_url}}. Its one job is getting {{target_audience}} to click {{call_to_action}}. Base every finding on evidence, not taste. 1. Data first. Ask me for, or tell me exactly where to find: visits and conversion rate by device and traffic source for the last 30 to 90 days; scroll depth; clicks on the main button; form starts versus submissions and the field where people give up; and a few session recordings if we have them. If traffic is low, say so and lean on the checks below. 2. Five-second test: from the first screen alone, on a 360px phone, can a stranger tell what this is, who it's for and what to do next? Write down what they'd most likely guess. 3. Walk the page as that visitor, top to bottom, and mark each leak: - The message doesn't match the ad, email or search that brought them - A vague headline, or benefits buried under features - Proof that's missing, generic or unsourced - Unanswered objections: price, time, risk, what happens after the click - Friction: too many form fields, surprise costs, a slow load, buttons that don't look tappable, competing calls to action - Mobile: tap targets under 44px, a sticky bar covering content, text under 16px 4. Rank each leak by likely impact, confidence and effort, with its evidence. Return the ranked list, rewritten copy for the top three fixes, and which changes deserve an A/B test versus simply shipping. Never add fake urgency, fake scarcity or invented testimonials.
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Marketing

Find where a landing page loses visitors, then fix it

Use real visitor data and a five-second test to find where people drop off, then fix the worst leaks.

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Curated by Nvoka

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Act as a conversion specialist. Audit the landing page at {{website_url}}. Its one job is getting {{target_audience}} to click {{call_to_action}}. Base every finding on evidence, not taste. 1. Data first. Ask me for, or tell me exactly where to find: visits and conversion rate by device and traffic source for the last 30 to 90 days; scroll depth; clicks on the main button; form starts versus submissions and the field where people give up; and a few session recordings if we have them. If traffic is low, say so and lean on the checks below. 2. Five-second test: from the first screen alone, on a 360px phone, can a stranger tell what this is, who it's for and what to do next? Write down what they'd most likely guess. 3. Walk the page as that visitor, top to bottom, and mark each leak: - The message doesn't match the ad, email or search that brought them - A vague headline, or benefits buried under features - Proof that's missing, generic or unsourced - Unanswered objections: price, time, risk, what happens after the click - Friction: too many form fields, surprise costs, a slow load, buttons that don't look tappable, competing calls to action - Mobile: tap targets under 44px, a sticky bar covering content, text under 16px 4. Rank each leak by likely impact, confidence and effort, with its evidence. Return the ranked list, rewritten copy for the top three fixes, and which changes deserve an A/B test versus simply shipping. Never add fake urgency, fake scarcity or invented testimonials.
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