Daily Prompt Pack: Pricing Strategy – Price your SaaS without guessing

Pricing is where most founders lose money quietly, not by setting the wrong number but by never testing one. These three prompts walk you from a value-based anchor down to a plan you can actually run this week.

[Claude]

I run a B2B SaaS that helps agencies automate client reporting, currently at $29/month flat. Given my only pricing signal is 214 churned trials in the last 90 days, run a value-based pricing audit: interview-script 5 questions that surface what agencies already pay for the manual work I replace, then output a 3-tier table (Starter, Growth, Scale) with dollar anchors, a justification line per tier, and the one tier you’d bet on first.

[ChatGPT]

My SaaS has 612 active users on one $19/month plan and I need a pricing experiment that won’t blow up retention. Given I can only change pricing for new signups, build a 4-week A/B test: define the two variants, the exact metrics to track (trial-to-paid, 30-day churn, upgrade rate), the minimum sample size to call it, and a decision rule for when to roll out the winner. Output as a one-page experiment brief I can paste into Notion.

[Cursor]

I have a Python FastAPI app with a Stripe checkout that hardcodes $29/month and I want to make pricing data-driven. Given I already store plan_id on subscriptions, write me: (a) a SQL migration that backfills a pricing_tier column and a price_test flag, (b) a FastAPI endpoint returning the active variant per user based on a feature flag, and (c) a pytest that asserts new signups get the test variant while existing users stay on legacy. Output the three code blocks ready to paste.

More daily packs in the archive at aicofounderstack.com/tag/prompt-pack.