Daily Prompt Pack: pricing strategy – stop leaving money on the table with a value-based price audit

Pricing is where most founders bleed profit without noticing it. You set a number once, then never revisit it while your value to the customer grows. This pack walks you through a value-based price audit you can finish in an afternoon.

[Claude]

I run a B2B SaaS that sells at $29/mo to early startups. My customers tell me the tool saves them 6 hours a week, which for a contractor is roughly $75/hour of recovered time. Given that math, walk me through a value-based price audit: calculate what the customer actually gains monthly, map it against churn risk, and recommend three pricing tiers with names, targets, and anchor numbers. Output a plain-text table I can drop into a pricing page draft.

[ChatGPT]

You are a pricing consultant for a solo founder selling a $19/mo WordPress plugin with 1,200 paying users and a 4.1% monthly churn. Given those numbers, build a price increase simulation: model revenue impact at +25%, +50%, and +100% price, factor in expected churn lift at each step, and flag which tier keeps net revenue positive through year one. Output as a decision table with a clear go/no-go recommendation and the single number you would bet the raise on.

[Cursor]

In my repo I have a subscriptions table with fields price, billing_cycle, plan_name, and customer_count, plus a churn_events table. Write a SQL query that computes blended average revenue per user, flags plans priced below 3x their median customer lifetime value, and surfaces the top 10 accounts most likely to tolerate a price increase based on usage recency. Output the SQL and a one-line explanation of each condition so I can sanity check the logic.

Full archive at aicofounderstack.com/tag/prompt-pack.