Best prompts for ChatGPT Marketing for landing pages using A/B testing

You are an expert conversion copywriter and growth marketer. For the product: TaskFlow (B2B SaaS project management for small teams), create two full landing page variants (A and B) that only differ in headline and hero subheadline. For each variant, provide: 1) the headline and subheadline, 2) a one-sentence hypothesis, 3) expected primary metric to improve (e.g., CTA click-through rate), 4) suggested traffic split, 5) recommended test duration and minimal sample size for 80% power and 5% significance (assume baseline conversion 6% and minimum detectable effect 15%), and 6) a short HTML hero snippet (div with headline, subheadline, CTA).

Generate 6 CTA button text and color combinations to test on a SaaS signup landing page. For each variant provide: 1) button text (5–6 words max), 2) suggested button color (hex), 3) microcopy below the button (one line), 4) a hypothesis statement (how it should affect CTR), and 5) a simple CSS snippet for the button.

Produce 4 hero image concepts and exact captions to test visual messaging for an e-commerce landing page selling ergonomic office chairs. For each concept include: 1) a short creative brief for the image (composition, subject, mood), 2) 10-word alt text, 3) a supporting caption (6–12 words) to test with the image, 4) expected psychological trigger (comfort, status, productivity), and 5) recommended split test name.

Create two content-length variants to test hero copy for lead generation: one short-form (20–35 words) and one long-form (80–120 words). Target audience: freelancers looking for invoicing software. For both variants provide: 1) complete hero paragraph, 2) 2 supporting bullets, 3) CTA text, 4) hypothesis, and 5) recommended metric to track (and why).

Write two versions of a bulleted value-proposition section to A/B test: Version F (feature-focused) and Version S (social-proof focused). For a fintech savings app, provide for each: 1) 5 bullets, 2) a short headline above the bullets, 3) a one-line hypothesis, and 4) suggested secondary metric to evaluate (e.g., time on page, scroll depth).

Create a segmented A/B testing plan that serves different landing page variants by traffic source (Paid Search, Organic, Social). Use an online course product (email marketing course). For each source provide: 1) recommended headline and hero angle, 2) rationale for the angle, 3) suggested experiment setup (targeting rule and split), and 4) 1 tracking KPI per segment.