LLM Prompts

A/B Test Hypothesis Generator for Landing Pages

Generates data-driven A/B testing ideas to improve landing page conversion rates.

The method

Use this prompt in your preferred LLM to brainstorm A/B test hypotheses for your landing pages. Provide context about your current landing page performance and goals. Iterate based on initial suggestions. Adjust based on traffic/conversion rate.

The prompts

Prompt 1
I want to improve the conversion rate of my landing page for a SaaS product that helps small businesses manage their social media. The current conversion rate is 2%. Our target is 4%. The primary call to action is a 'Start Free Trial' button. Suggest 5 data-backed A/B testing hypotheses to increase conversion rates, focusing on elements like headline, imagery, call to action, and form length. For each hypothesis, briefly explain the rationale behind it and the metrics we should monitor to determine success. Assume our users are business owners, marketing managers, and social media specialists. Consider the current trends of social media.
Prompt 2
Analyze the landing page copy below and suggest 3 A/B tests to improve its effectiveness. The landing page is for a weight loss program targeting busy professionals. Focus on improving clarity, persuasiveness, and the call to action. Highlight the current weaknesses and propose specific changes. The current copy is: 'Tired of dieting? Our program helps you lose weight fast! Sign up now!'. Consider different CTAs, imagery, and headline variations. Explain the psychological principles behind your suggestions. Our target demographic also values convenience and efficiency.