Amazon Pricing Strategy

Amazon pricing strategy and repricing agent. Set competitive prices, build repricing rules, analyze Buy Box win rate, plan promotional pricing, and balance m...

Security Scan

This is an instruction-only pricing advisory skill (no installs, no credentials requested) whose content and requirements are consistent with an advisory/pricing-strategy agent.

Purpose & Capability

The name/description (Amazon pricing strategy and repricing) match the SKILL.md content: pricing stages, Buy Box logic, repricing rules, floor calculations, promotions, and elasticity analysis. The skill does not request unrelated dependencies or credentials.

Instruction Scope

SKILL.md is a purely advisory runbook — it asks the user to provide COGS, competitor prices, Buy Box rate, etc. It does not instruct the agent to read local files, access system config, or transmit data to external endpoints. Note: the frontmatter lists allowed-tools: Bash, but the document contains no concrete shell commands; this is a minor mismatch (tool permission present but unused) rather than evidence of overreach.

Install Mechanism

No install spec and no code files. Nothing will be written to disk or downloaded as part of installing this skill.

Credentials

The skill declares no environment variables, no credentials, and no config paths. This is consistent with an advisory-only skill. If you want full automation (integrating with Seller Central or a repricer), credentials would be required—but they are not requested here.

Persistence & Privilege

always is false and the skill does not request elevated or persistent system privileges. Autonomous invocation is allowed by default but the skill itself contains only guidance and no code to run persistently.

Assessment

This skill is an advisory/pricing playbook only — it does not access your system or ask for Seller Central/API credentials. If you intend to use it for automated repricing later, be cautious: automated repricers require real Seller Central credentials or third-party API tokens and those grant the ability to change prices. Before handing any credentials to an automation, verify the integration's code/source and permission model. Also note the SKILL.md declares Bash as an allowed tool even though it contains no shell commands — if you see a future version that adds shell steps, review them carefully for any file or network operations.

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 — 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

• Your COGS (landed cost per unit)
• Current price & sales velocity
• Competitor prices — paste from search results
• Buy Box win rate — from Seller Central
• Target margin % — your profit floor
• Product stage — launch / growth / mature / declining

Pricing Strategy by Stage

Stage 1: Launch Pricing (First 30–60 days)

Goal: Velocity over margin — get reviews and ranking fast

Approach	Price Point	When to Use
Aggressive launch	10–20% below market average	New product, competitive category
Parity launch	Match #1 competitor	Differentiated product, strong listing
Premium launch	10–15% above average	Clear differentiation, strong brand

Launch pricing formula:

Floor price = COGS × 1.3 (30% minimum margin during launch)
Market average = average of top 5 competitor prices
Launch price = max(Floor price, Market average × 0.85)

Stage 2: Growth Pricing (60–180 days)

Goal: Balance velocity and margin

• Raise price $1–2 every 2 weeks as reviews accumulate
• Stop raising when sales velocity drops >15%
• Target: get to your "full price" within 90 days of launch

Stage 3: Mature Pricing (180+ days)

Goal: Maximize profit, defend position

• Monitor competitor prices weekly
• Reprice within a defined band (floor to ceiling)
• Use promotions to stimulate volume during slow periods

Stage 4: Declining (Low BSR, high competition)

Goal: Liquidate cleanly or relaunch

• Drop price to move inventory before storage fees spike
• Consider removal if margin-negative

Buy Box Strategy

How Amazon Decides Buy Box Winner (Private Label)

For your own brand (no other sellers): You win Buy Box if:

• Account Health is Good
• You have FBA inventory available
• Price is competitive vs. your own historical pricing
• Not flagged for high-price violation

Buy Box for Resellers (Multi-Seller Competition)

Amazon's algorithm weights:

1. Price (most important) — lowest landed price often wins
2. Fulfillment method — FBA beats FBM
3. Seller metrics — ODR, late shipment rate
4. Inventory availability — in-stock wins
5. Account health — healthy accounts preferred

Repricing rules for Buy Box:

IF (my price > lowest FBA competitor price + $0.50):
  → Lower price by $0.25
IF (I'm winning Buy Box and margin > target):
  → Try raising price by $0.10 every 24 hours
IF (price hits floor):
  → Stop repricing, accept lower Buy Box share

Price Floor Calculation

Never price below your floor. Calculate it:

Minimum viable price = COGS + Amazon fees + minimum profit

Example (Standard product, $9 COGS):
COGS:                    $9.00
Referral fee (15%):      $X × 15%
FBA fee:                 $3.22 (large standard, 1lb)
Min profit target:       $2.00
─────────────────────────────
Solve: Price = COGS + FBA + (Price × 0.15) + Min Profit
Price = (9 + 3.22 + 2) / (1 - 0.15) = $16.73 floor

Promotional Pricing Playbook

Lightning Deals

• Minimum discount: 15–20% off regular price
• Amazon selects eligible products (can't self-submit all products)
• Best timing: Prime Day, Black Friday, Cyber Monday
• Cost: $150–$300 per deal slot (varies by event)
• ROI: Best for BSR ranking boost, not pure profit

Coupons

• Clip-and-save badge improves CTR (green badge visible in search)
• Set 5–20% discount (lower amounts still get the badge)
• Cost: $0.60 per redemption
• Best for: Driving trial on new products, price-sensitive categories

Prime Exclusive Discounts

• Only shown to Prime members
• Requires: 10%+ discount, 3+ star rating
• Shows strikethrough price in search — strong CTR driver

BOGO / Multi-unit

• "Buy 2, get 10% off" — increases average order value
• Good for consumables, multi-pack strategy

Price Elasticity Framework

Without sales data, estimate elasticity by category:

Category Type	Elasticity	Meaning
Commodity (generic, many sellers)	High	Small price drop → 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
Jan–Feb	Hold or slight discount (post-holiday slowdown)
Mar–Apr	Restore full price, spring categories up
May–Jun	Stable, prep Prime Day inventory
Jul (Prime Day)	Deep discounts day-of, price back up after
Aug–Sep	Hold price, prep Q4
Oct	Price up 5–10% before holiday rush
Nov (BFCM)	Lightning deals, coupons, max promotion
Dec 1–15	Hold premium price (urgent gift buyers)
Dec 16–25	Drop price to clear remaining inventory

Output Format

1. Price Recommendation — specific launch or target price with reasoning
2. Floor Price Calculation — your absolute minimum viable price
3. Repricing Rules — min/max band and trigger conditions
4. Competitive Positioning — where you sit vs. top 5 competitors
5. Promo Calendar — recommended discount events for next 90 days