Pricing-page hero test: two visuals, one winner

The problem this solves

The pricing page is where the most expensive visitors on your site make their most consequential decision, and its hero usually gets the least deliberate design on the site. It ships with the template default or whatever the last redesign left behind, and because pricing pages feel finished once the plans render correctly, nobody re-examines what the top of that page is actually communicating to someone deciding whether you are worth paying for.

Testing the hero rarely happens because a real test needs three things at once: a diagnosis of what the current version fails to say, two credible alternatives built to say it, and a plan for measuring the difference honestly. Most teams have opinions about the first, no capacity for the second, and defer the third indefinitely. So the highest-leverage above-the-fold real estate on the site runs untested for years while smaller pages get all the iteration.

How the mission runs

1. Diagnose the current hero. Web Research reads your pricing page as a skeptical buyer: what the hero visually claims, what question a plan-comparing visitor actually brings, and where the two diverge. The diagnosis lands in the thread as specific failures - unclear value anchor, generic imagery, headline restating the nav - rather than vague critique.
2. Frame two competing hypotheses. From the diagnosis the agent frames two distinct fixes as testable hypotheses: two different answers to what the hero should communicate, each with a one-line rationale. Two genuinely different bets make the test informative; two cosmetic variations of the current page would only measure noise.
3. Generate the two hero visuals. Image Generation renders each hypothesis as a finished hero visual in your brand system, composed for the pricing page's actual layout and dimensions. Directions iterate at draft quality until both feel like fair, committed versions of their argument; the two finals render at final quality.
4. Write the matching headlines. Each visual gets headline and support copy written to carry the same hypothesis, so every test arm is coherent: image and words making one argument together. Mismatched pairs are the classic silent test-killer, because a visitor reacts to the contradiction instead of either idea.
5. Deliver the A/B plan. The mission closes with a simple test plan: which variant challenges the current control, what the primary signal is, roughly how long to run given your traffic, and what each outcome would imply. Your team implements it in your own testing tool or as a timed swap.

The prompt

This is the exact objective the agent receives. Swap the obvious placeholders for your own domain, segment or channel and run it as-is from the console, Slack, or the API.

What comes back

A complete pricing-hero test kit in the thread: a specific diagnosis of the current hero's failures, two finished alternative visuals at final quality with matched headline and support copy, each carrying a distinct hypothesis, and a plain-language A/B plan covering control, signal, duration, and how to read the result. Implementation stays inside your own site and testing stack.

Make it yours

• Widen the test surface: the same two hypotheses executed for both the pricing hero and the pricing-linked homepage section, so message and journey get tested together.
• Aim it at a plan-mix problem: two heroes designed to steer attention toward the plan you most want chosen, with the plan measuring tier selection.
• Run the loop after the first result: the winner becomes the new control and the mission produces the next challenger, turning one test into a cadence.

Frequently asked questions

Go deeper

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