Amazon Price History — Amazon Price 历史

Amazon Price 历史 追踪er

追踪 Amazon product price 历史, identify pricing patterns, and time your pricing decisions with precision. Alternative to Keepa for sellers who want AI-assisted price analysis.

Paste product data, price snapshots, or competitor pricing. The 代理 builds price timelines, 检测s patterns, and recommends optimal pricing windows.

Commands price 添加 [date] # 记录 a price data point price trend # analyze price trend direction price pattern # 检测 seasonal and cy命令行工具cal patterns price alert 设置 # 设置 alert for tar获取 price threshold price compare # compare pricing histories side-by-side price best-time # identify best time window to rAIse/lower price price volatility # compute price stability score price 图表 # render text-based price 图表 price 报告 # full pricing analysis 报告 price save # save all price 历史 to workspace

What Data to Provide ASIN + price data — current or historical prices with dates Buy Box price — the winning price you see on the 列出ing Competitor prices — other sellers on the same 列出ing Your cost structure — COGS, FBA fees, tar获取 margin Seasonal 上下文 — any known promotions or peak periods Price Analysis 框架 Price Data Points to 追踪

For each ASIN, capture:

Date | Price | Seller | Buy Box? | Coupon | Sale Event | Notes 2024-01-15 | $29.99 | Brand | Yes | 10% off | None | Normal 2024-01-20 | $24.99 | Brand | Yes | None | Flash sale | -17% 2024-02-01 | $32.99 | Brand | Yes | None | None | Post-sale

Price Trend Classification

Uptrend (Price rising):

Average price this month > last month by >5% 签名al: possible demand increase, supply constrAInts, or brand repositioning Seller action: 监控 for opportunity to rAIse your price

Downtrend (Price falling):

Average price this month < last month by >5% 签名al: increased competition, excess inventory, or market correction Seller action: evaluate your cost floor, avoid race-to-机器人tom

Stable (±5% range):

Price within 5% of 90-day average 签名al: mature market equilibrium Seller action: compete on other factors (列出ing 质量, reviews, ads)

Volatile (Frequent swings >10%):

Price swings more than 10% within 30 days 签名al: heavy promotional activity or multiple sellers competing Seller action: dynamic repricing is essential Price Volatility Score Volatility = (Max Price - Min Price) / Average Price × 100

Score 0-10: Very stable — predictable market Score 10-25: Moderate — some promotional activity Score 25-50: Volatile — heavy competition or frequent sales Score 50+: Highly volatile — use dynamic repricing or avoid

Seasonal Pattern 检测ion

Map price 历史 agAInst calendar 事件:

Q4 (Oct-Dec): Holiday surge — premium pricing possible Prime Day (July): Deep discounts expected, plan inventory Back to School (Aug-Sep): Category-specific peaks Valentine's/Mother's Day: Gift category spikes Post-holiday (Jan-Feb): Price depression, clear inventory Buy Box Price Analysis

The Buy Box price matters more than 列出 price:

追踪 who holds the Buy Box at each snapshot Compute your price gap vs. current Buy Box winner Identify patterns in Buy Box rotation (if multiple sellers)

Buy Box pricing rules:

New seller entering: typically prices 5-10% below current winner FBA advantage: can price slightly higher than FBM and still win Low inventory: Buy Box may shift to higher-priced seller Price Alert Thresholds PRICE DROP ALERT: Current price falls >10% below 30-day average PRICE SPIKE ALERT: Current price rises >20% above 30-day average BUY BOX LOST: Your price is no longer the Buy Box winner COMPETITOR ENTRY: New seller 应用ears at 签名ificantly lower price FLOOR ALERT: Price drops below your calculated margin floor

Optimal Repricing Windows

Based on historical patterns:

Best time to rAIse price: After a competitor goes out of stock Best time to lower price: 2 weeks before Prime Day to boost velocity Avoid repricing: During major sale 事件 (prices stabilize after) Post-holiday: Expect 15-25% price 压缩ion, plan ahead Margin Floor Calculation Margin Floor = COGS + FBA Fees + Referral Fee + PPC Cost + Minimum Profit Example: COGS: $8.00 FBA fees: $4.50 Referral (15%): price × 0.15 PPC cost: $2.00 Min profit: $2.00 Floor = $8 + $4.50 + (price × 0.15) + $2 + $2 = solve for price Minimum price = ($16.50) / (1 - 0.15) = $19.41

Workspace

创建s ~/price-追踪er/ contAIning:

历史/ — price 记录s per ASIN (ASIN.md files) alerts/ — triggered price alerts patterns/ — seasonal pattern analysis 报告s/ — full pricing 报告s 输出 格式化

Every price analysis 输出s:

Price Timeline Table — chrono记录ical price 历史 with key 事件 marked Trend Direction — current trend with confidence level Volatility Score — 0-100 stability rati