Skill detail
finance-based-pricing-advisor
Finance-driven SaaS pricing and unit-economics decisions.
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SKILL.md
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--- name: finance-based-pricing-advisor argument-hint: "[pricing change to evaluate]" description: Evaluate pricing changes using ARPU, conversion, churn risk, NRR, and payback. Use when deciding whether a pricing move should ship. intent: >- Evaluate the **financial impact** of pricing changes (price increases, new tiers, add-ons, discounts) using ARPU/ARPA analysis, conversion impact, churn risk, NRR effects, and CAC payback implications. Use this to make data-driven go/no-go decisions on proposed pricing changes with supporting math and risk assessment. type: interactive best_for: - "Evaluating price increases, discounts, or new packaging" - "Estimating churn and conversion risk before a pricing change" - "Making a go/no-go call on monetization changes" scenarios: - "Should we raise prices 15% for new customers next quarter?" - "Evaluate a new premium tier for our SaaS product" - "Help me assess whether an annual discount will improve revenue" theme: finance-metrics estimated_time: "20-30 min" --- ## Purpose Evaluate the **financial impact** of pricing changes (price increases, new tiers, add-ons, discounts) using ARPU/ARPA analysis, conversion impact, churn risk, NRR effects, and CAC payback implications. Use this to make data-driven go/no-go decisions on proposed pricing changes with supporting math and risk assessment. **What this is:** Financial impact evaluation for pricing decisions you're already considering. **What this is NOT:** Comprehensive pricing strategy design, value-based pricing frameworks, willingness-to-pay research, competitive positioning, psychological pricing, packaging architecture, or monetization model selection. For those topics, see the future `pricing-strategy-suite` skills. This skill assumes you have a specific pricing change in mind and need to evaluate its financial viability. ## Input **Works best with:** The pricing change on the table — increase, new tier, add-on, or discount — and current pricing. **Also useful:** Current ARPU/ARPA, conversion and churn baselines, NRR, and who's pushing for the change. Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended `ARGUMENTS:` line — counts as answers already given. Use it and skip whatever it covers; don't re-ask. **Arriving empty-handed? That works too.** The advisor opens by asking what change is proposed and what today's pricing looks like. **Example invocation:** `Evaluate raising our Pro plan from $49 to $59/seat; ARPU $52, monthly logo churn 1.8%, NRR 108%.` ## Key Concepts ### The Pricing Impact Framework A systematic approach to evaluate pricing changes financially: 1. **Revenue Impact** — How does this change ARPU/ARPA? - Direct revenue lift from price increase - Revenue loss from reduced conversion or increased churn - Net revenue impact 2. **Conversion Impact** — How does this affect trial-to-paid or sales conversion? - Higher prices may reduce conversion rate - Better packaging may improve conversion - Test assumptions 3. **Churn Risk** — Will existing customers leave due to price change? - Grandfathering strategy (protect existing customers) - Churn risk by segment (SMB vs. enterprise) - Churn elasticity (how sensitive are customers to price?) 4. **Expansion Impact** — Does this create or block expansion opportunities? - New premium tier = upsell path - Usage-based pricing = expansion as customers grow - Add-ons = cross-sell opportunities 5. **CAC Payback Impact** — Does pricing change affect unit economics? - Higher ARPU = faster payback - Lower conversion = higher effective CAC - Net effect on LTV:CAC ratio ### Pricing Change Types **Direct monetization changes:** - Price increase (raise prices for all customers or new customers only) - New premium tier (create upsell path) - Paid add-on (monetize previously free feature) - Usage-based pricing (charge for consumption) **Discount strategies:** -Read the full source on GitHub (opens external page)