Agent skill · marketing growth · onewave-ai
pricing-change-strategist
Design and roll out a price increase or packaging change without triggering churn. Segments the base by price sensitivity, models revenue and churn scenarios, decides grandfathering and notice strategy, and produces the full comms kit (customer email, in-app notice, sales talk track, support FAQ, objection handling). Use when raising prices, repackaging tiers, or moving customers to new plans.
Why this skill is useful
Provides a structured approach to pricing changes with specific segmentation and modeling techniques that the AI wouldn't reliably generate on its own.
What it needs
Requires mercury, stripe, supabase account access. About 3k tokens when loaded. Last updated 2026-07-15. 242 stars on the source repository.
What this skill does
Pricing Change Strategist Raising prices is the highest-leverage move most companies are too scared to make well. Done carelessly it churns your base and lights up Twitter. Done well it's nearly pure margin. This skill plans the change end to end — the math, the segmentation, the grandfathering call, and every word customers will read. Pair it with product-launch-war-room (to decide whether) and customer-panel-of-experts (to hear how each segment reacts). This skill owns the how. Step 1 — Establish the baseline Gather (read-only from billing/CRM where connected — Stripe, Mercury, Supabase via $SUPABASETOKEN; otherwise ask): Current pricing, tiers, and discount reality (list vs. actual realized). Revenue distribution: ACV by segment, concentration, % on legacy/grandfathered plans. Churn and expansion rates by segment. Cost-to-serve by tier (where the margin actually is). The trigger: why now — cost, value delivered, repositioning, market. Security: read-only. Never modify subscriptions, prices, or send anything. No real customer PII in artifacts — segment in aggregate. Secrets in env vars only. Step 2 — Segment by price sensitivity Split the base into action groups, e.g.: Anchor accounts — high revenue, high switching cost → can absorb increase, handle white-glove. Price-sensitive core — value-conscious, mobile → highest churn risk, needs the strongest value story. Legacy / underpriced — paying far below current value → biggest opportunity, biggest betrayal risk. At-risk — already low engagement → may use the increase as an exit cue; decide if you want to keep them. For each: current price, proposed price, % change, estimated churn response, net revenue impact. Step 3 — Model the scenarios Build a simple, transparent model (write it out so the math is auditable — never hand-wave aggregates): Conservative / expected / aggressive increase levels. For each: projected churn %, retained revenue, net new revenue, payback on any concessions. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills onewave-ai/pricing-change-strategist