Amazon Pricing Strategy
by @mguozhen
Amazon pricing strategy and repricing agent. Set competitive prices, build repricing rules, analyze Buy Box win rate, plan promotional pricing, and balance m...
clawhub install amazon-pricing-strategyπ About This Skill
name: amazon-pricing-strategy description: "Amazon pricing strategy and repricing agent. Set competitive prices, build repricing rules, analyze Buy Box win rate, plan promotional pricing, and balance margin vs. volume. Works for private label and resellers. Triggers: amazon pricing, repricing, buy box, price strategy, amazon price, competitive pricing, price optimization, dynamic pricing, buy box winner, price war, margin optimization, amazon repricer, price elasticity, promotional pricing, amazon price strategy" allowed-tools: Bash metadata: openclaw: homepage: https://github.com/mguozhen/amazon-pricing-strategy
Amazon Pricing Strategy Agent
Set the right price to win Buy Box, maximize revenue, and protect margins. From launch pricing to long-term repricing rules β your pricing co-pilot.
Commands
price analyze [product] # full pricing strategy analysis
price launch [cogs] [market] # optimal launch price recommendation
price buybox [situation] # Buy Box win strategy
price reprice [rules] # set up repricing logic
price elastic [data] # price elasticity analysis
price promo [type] # promotional pricing plan
price floor [cogs] # calculate minimum viable price
price compare [competitors] # competitive price positioning
price seasonal # seasonal pricing calendar
What Data to Provide
Pricing Strategy by Stage
Stage 1: Launch Pricing (First 30β60 days)
Goal: Velocity over margin β get reviews and ranking fast| Approach | Price Point | When to Use | |----------|------------|-------------| | Aggressive launch | 10β20% below market average | New product, competitive category | | Parity launch | Match #1 competitor | Differentiated product, strong listing | | Premium launch | 10β15% above average | Clear differentiation, strong brand |
Launch pricing formula:
Floor price = COGS Γ 1.3 (30% minimum margin during launch)
Market average = average of top 5 competitor prices
Launch price = max(Floor price, Market average Γ 0.85)
Stage 2: Growth Pricing (60β180 days)
Goal: Balance velocity and marginStage 3: Mature Pricing (180+ days)
Goal: Maximize profit, defend positionStage 4: Declining (Low BSR, high competition)
Goal: Liquidate cleanly or relaunchBuy Box Strategy
How Amazon Decides Buy Box Winner (Private Label)
For your own brand (no other sellers): You win Buy Box if:Buy Box for Resellers (Multi-Seller Competition)
Amazon's algorithm weights: 1. Price (most important) β lowest landed price often wins 2. Fulfillment method β FBA beats FBM 3. Seller metrics β ODR, late shipment rate 4. Inventory availability β in-stock wins 5. Account health β healthy accounts preferredRepricing rules for Buy Box:
IF (my price > lowest FBA competitor price + $0.50):
β Lower price by $0.25
IF (I'm winning Buy Box and margin > target):
β Try raising price by $0.10 every 24 hours
IF (price hits floor):
β Stop repricing, accept lower Buy Box share
Price Floor Calculation
Never price below your floor. Calculate it:
Minimum viable price = COGS + Amazon fees + minimum profitExample (Standard product, $9 COGS):
COGS: $9.00
Referral fee (15%): $X Γ 15%
FBA fee: $3.22 (large standard, 1lb)
Min profit target: $2.00
βββββββββββββββββββββββββββββ
Solve: Price = COGS + FBA + (Price Γ 0.15) + Min Profit
Price = (9 + 3.22 + 2) / (1 - 0.15) = $16.73 floor
Promotional Pricing Playbook
Lightning Deals
Coupons
Prime Exclusive Discounts
BOGO / Multi-unit
Price Elasticity Framework
Without sales data, estimate elasticity by category:
| Category Type | Elasticity | Meaning | |--------------|-----------|---------| | Commodity (generic, many sellers) | High | Small price drop β big volume gain | | Differentiated (brand, unique features) | Low | Price changes don't move volume much | | Gift / impulse | Medium | Sweet spot pricing matters | | Consumable / repeat purchase | Low-Medium | Loyalty reduces price sensitivity |
To measure your elasticity: 1. Raise price $2 for 2 weeks, note sales change 2. Drop price $2 for 2 weeks, note sales change 3. Calculate: % change in units / % change in price = elasticity coefficient
Seasonal Pricing Calendar
| Period | Strategy | |--------|---------| | JanβFeb | Hold or slight discount (post-holiday slowdown) | | MarβApr | Restore full price, spring categories up | | MayβJun | Stable, prep Prime Day inventory | | Jul (Prime Day) | Deep discounts day-of, price back up after | | AugβSep | Hold price, prep Q4 | | Oct | Price up 5β10% before holiday rush | | Nov (BFCM) | Lightning deals, coupons, max promotion | | Dec 1β15 | Hold premium price (urgent gift buyers) | | Dec 16β25 | Drop price to clear remaining inventory |
Output Format
1. Price Recommendation β specific launch or target price with reasoning 2. Floor Price Calculation β your absolute minimum viable price 3. Repricing Rules β min/max band and trigger conditions 4. Competitive Positioning β where you sit vs. top 5 competitors 5. Promo Calendar β recommended discount events for next 90 days