Pricing Page Optimizer

---
title: "Pricing Page Optimizer Prompt — Plans, Anchors, Decoys & the Toggle, Audited"
author: "Mahmoud Omar"
author_url: "https://mahmoudomar.com"
category: "cro"
type: "prompt"
level: "advanced"
works_with: "Claude, ChatGPT, Gemini"
language: "EN"
last_verified: "2026-07-03"
hook: "Your pricing page isn't a menu. It's an argument about which plan to buy — and most pages argue for the wrong one."
email_subject: "The pricing-page audit: anchors, decoys, and the annual toggle"
short_pitch: "Paste your pricing page into this prompt and get a structural audit: plan architecture, anchoring and decoy logic, the annual/monthly toggle, feature-table readability, and enterprise-CTA placement — with the one test to run first."
---

# Pricing Page Optimizer Prompt

> A structural audit for pricing pages: whether the plan lineup steers anyone anywhere, whether the anchor and decoy do their jobs, whether the annual toggle is framed to win, and what the feature table is accidentally arguing.

## ⚡ What it does

The [landing page teardown](landing-page-cro-teardown.md) audits persuasion; this audits **choice architecture** — the specific machinery of pricing pages that generic CRO reviews miss: which plan the page structurally recommends (there's always one, chosen or not), what the most expensive tier anchors, whether the middle tier is a real choice or a decoy, and how the annual/monthly toggle frames the commitment. Pricing pages fail structurally more often than they fail verbally.

## 🎯 When I use it (real scenario)

Pricing pages come up in nearly every SaaS and digital-product engagement I touch, and the recurring finding is the same: pages that present plans as neutral catalog items — no recommended tier, feature tables that read as spreadsheets, toggles that whisper the annual discount. The structural questions in this prompt are the checklist that emerged from those reviews; the benchmark context (annual plans carry 10-20pp better retention, discounts cost ~32% of LTV — see the [SaaS benchmarks](../../benchmarks/growth-saas-benchmarks.md)) is what turns the recommendations from taste into math.

## 📋 The Prompt