BUY-13563: add What Is Cross-Retailer Price Analytics developer FAQ

AEO developer FAQ covering competitive price positioning, market share estimation,
cross-retailer metrics, and BuyWhere cross-retailer analytics API.

Author: Flux

content/pages/what-is-cross-retailer-price-analytics.md

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+---
+title: "What Is Cross-Retailer Price Analytics? — Developer FAQ"
+slug: "what-is-cross-retailer-price-analytics"
+description: "FAQ explaining what cross-retailer price analytics is in e-commerce. Covers competitive price analysis, retailer price positioning, market share estimation, and how BuyWhere provides cross-retailer analytics."
+category: FAQ
+tags:
+  - "cross-retailer price analytics"
+  - "competitive price analytics"
+  - "retailer price positioning"
+  - "market share estimation"
+  - "price intelligence"
+  - "multi-retailer analytics"
+schema_type: Article
+published: true
+updated: 2026-05-08
+---
+
+# What Is Cross-Retailer Price Analytics? — Developer FAQ
+
+Cross-retailer price analytics is the practice of analysing product prices across multiple retailers to understand competitive positioning, market dynamics, and pricing opportunities. This FAQ covers what cross-retailer price analytics is, key metrics, and how BuyWhere provides cross-retailer analytics.
+
+---
+
+## What Is Cross-Retailer Price Analytics?
+
+Cross-retailer price analytics is the analysis of pricing data collected from multiple retailers for the same products. It enables:
+
+- **Competitive positioning**: Where do I sit relative to competitors on price?
+- **Market analysis**: What are the price dynamics across the market?
+- **Opportunity identification**: Where are pricing gaps I can exploit?
+- **Trend detection**: How are prices and market positions changing over time?
+
+The key difference from single-retailer price analysis is the focus on relationships between retailers rather than internal pricing alone.
+
+---
+
+## Core Cross-Retailer Metrics
+
+### Price Position
+
+Where your prices sit relative to competitors:
+
+| Metric | Calculation | Interpretation |
+|--------|------------|---------------|
+| **Price rank** | Rank from lowest to highest | 1st = cheapest, 5th = most expensive |
+| **Price index** | Your price / market average | >100 = above market, <100 = below market |
+| **Price gap** | Your price - competitor price | Negative = you are cheaper |
+| **Market share** | Estimated share based on price competitiveness | Derived from position |
+
+### Price Distribution
+
+How prices are distributed across the market:
+
+| Metric | What It Shows |
+|--------|-------------|
+| **Lowest price** | Floor of the market |
+| **Highest price** | Ceiling of the market |
+| **Median price** | Typical market price |
+| **Price range** | Market spread |
+| **Price clustering** | Where most retailers price |
+
+### Competitive Intensity
+
+How intense price competition is:
+
+| Metric | Calculation | Interpretation |
+|--------|------------|---------------|
+| **CV (Coefficient of Variation)** | std_dev / mean | Higher = more price variation |
+| **Price dispersion** | (max - min) / median | Relative spread |
+| **Herfindahl index** | Sum of squared market shares | Higher = less competitive |
+
+---
+
+## Cross-Retailer Price Analysis Dimensions
+
+### Product-Level Analysis
+
+For each product, compare prices across all retailers:
+
+```
+Product: Sony WH-1000XM5
+
+Retailer      Price    Rank    Gap to Lowest    Index
+─────────────────────────────────────────────────────
+Retailer A    $299     1       $0              90
+Retailer B    $312     2       +$13            94
+Retailer C    $329     3       +$30            99
+Retailer D    $349     4       +$50            105
+Retailer E    $399     5       +$100           120
+
+Market avg:   $337
+Market min:   $299
+Market max:   $399
+```
+
+### Category-Level Analysis
+
+Aggregate metrics at the category level:
+
+```
+Category: Over-ear headphones (n=847 products)
+
+Retailer    Avg Price    Avg Rank    Price Index    Assortment
+──────────────────────────────────────────────────────────────
+Retailer A  $245         2.3        92            423
+Retailer B  $267         3.1        100           312
+Retailer C  $289         3.8        108           198
+Retailer D  $312         4.4        117           156
+```
+
+### Retailer Comparison
+
+Compare specific retailers:
+
+```
+Retailer A vs. Retailer B:
+
+Products compared: 500
+A cheaper on:  280 products (56%)
+A more expensive on: 180 products (36%)
+Same price on: 40 products (8%)
+
+Average gap when A is cheaper: -$12
+Average gap when A is expensive: +$18
+```
+
+---
+
+## Market Share Estimation
+
+Cross-retailer prices enable market share estimation:
+
+### Price-Based Share Model
+
+```
+Given: Products share a relationship between price and conversion probability
+
+Model: conversion_probability = f(price_relative_to_market)
+
+For each retailer:
+  For each product:
+    Estimate conversion probability based on relative price
+  Sum probabilities across products
+  → Estimated market share
+```
+
+### Share Estimation Metrics
+
+| Metric | Description |
+|--------|-------------|
+| **Share of clicks** | Estimated share based on price competitiveness |
+| **Share of searches** | Share of product searches where retailer appears |
+| **Share of cheapest** | % of products where retailer has lowest price |
+| **Share of mid-range** | % of products where retailer is within 5% of market average |
+
+---
+
+## Cross-Retailer Price Positioning
+
+### Positioning Matrix
+
+```
+                    Low Price                    High Price
+                    Position                     Position
+              ┌─────────────────────┬─────────────────────┐
+     Premium  │                     │                     │
+    Quality   │   Value Position    │  Premium Position   │
+              ├─────────────────────┼─────────────────────┤
+     Economy  │                     │                     │
+    Quality   │  Budget Position   │  Overpriced Risk   │
+              └─────────────────────┴─────────────────────┘
+```
+
+### Quadrant Definitions
+
+| Quadrant | Price | Quality | Strategy |
+|---------|-------|---------|----------|
+| **Value** | Below market | High | Competitive value — exploit |
+| **Premium** | Above market | High | Brand premium — justify |
+| **Budget** | Below market | Low | Price-focused — acceptable |
+| **Overpriced** | Above market | Low | Risk — vulnerable |
+
+---
+
+## Cross-Retailer Pricing Opportunities
+
+### Gap Identification
+
+Find products where the market has a price gap:
+
+```
+Price Distribution for "Wireless Headphones":
+  $0-100:    50 products (budget segment)
+  $100-200:  200 products (crowded)
+  $200-300:  100 products (gap)
+  $300-400:  300 products (crowded)
+  $400+:     50 products (premium)
+
+Opportunity: $200-300 segment is underserved
+```
+
+### Weakness Exploitation
+
+Find competitors positioned weakly:
+
+```
+Competitor Analysis:
+  Competitor X:
+    - Cheapest on 15% of products (weakest)
+    - Most expensive on 45% of products
+    - Avg rank: 3.8 (4th cheapest of 5)
+  → Vulnerable position on high-frequency-price-sensitive products
+```
+
+### Timing Opportunities
+
+Cross-retailer data reveals timing patterns:
+
+```
+Competitor price changes by day of week:
+
+Competitor A: Drops prices Saturday (17% of changes)
+Competitor B: Drops prices Tuesday (22% of changes)
+
+Opportunity: Monitor both; buy when either drops
+```
+
+---
+
+## Cross-Retailer Analytics in Practice
+
+### Competitive Response
+
+When a competitor changes prices:
+
+```
+Event: Competitor X dropped price on Product A by 15%
+
+Analysis:
+  1. How many products does this affect?
+  2. How long has Competitor X maintained this price?
+  3. Are they matching across products or just this one?
+  4. What is our price gap on affected products?
+
+Response options:
+  - Match immediately
+  - Match selectively (high-velocity products only)
+  - Do nothing (short-term promotional)
+```
+
+### Assortment Strategy
+
+Cross-retailer data informs assortment:
+
+```
+Products where we are cheapest: 180
+Products where we are most expensive: 120
+
+Analysis:
+  - We lead on price in 180 products
+  - We are overexposed (too expensive) in 120 products
+  - For the 120 expensive products:
+    → Consider dropping prices
+    → Or consider removing from assortment
+    → Or improve perceived value
+```
+
+---
+
+## How Does BuyWhere Provide Cross-Retailer Analytics?
+
+### Cross-Retailer API
+
+BuyWhere exposes cross-retailer analytics via API:
+
+```
+GET /v1/analytics/price-position?retailer={id}&category={cat}
+Returns price position metrics for a retailer in a category
+
+GET /v1/analytics/competitor-gap?retailer={id}&product={pid}
+Returns price gap analysis for specific products
+
+GET /v1/analytics/market-share?category={cat}
+Returns estimated market share by retailer
+```
+
+### Price Position Report
+
+```json
+{
+  "retailer": "buywhere",
+  "category": "207",
+  "product_count": 847,
+  "price_position": {
+    "avg_rank": 2.3,
+    "avg_index": 94,
+    "cheapest_count": 312,
+    "most_expensive_count": 87,
+    "avg_gap_to_lowest": -8.50
+  },
+  "competitors": [
+    { "retailer": "Amazon", "avg_rank": 1.8, "avg_index": 89 },
+    { "retailer": "Best Buy", "avg_rank": 3.1, "avg_index": 103 }
+  ]
+}
+```
+
+### Competitor Gap Report
+
+```json
+{
+  "product": "PRD-SONY-WH1000XM5-BLK",
+  "retailer": "buywhere",
+  "current_price": 319.00,
+  "competitors": [
+    {
+      "retailer": "Amazon",
+      "price": 299.00,
+      "gap": "+$20",
+      "gap_pct": "+6.7%",
+      "rank": 1
+    },
+    {
+      "retailer": "Best Buy",
+      "price": 312.00,
+      "gap": "+$7",
+      "gap_pct": "+2.2%",
+      "rank": 2
+    }
+  ]
+}
+```
+
+---
+
+## Limitations of Cross-Retailer Analytics
+
+### 1. Price ≠ Conversion
+
+Price is not the only factor in purchase decisions. Brand preference, shipping speed, trust, and availability also affect conversion. Price-based share estimates are approximations.
+
+### 2. Stockout Blindness
+
+A retailer with the lowest price but out of stock has no market share. Cross-retailer analytics typically does not account for real-time stockout.
+
+### 3. Geographic Variation
+
+Prices vary by market. US prices may differ from Singapore prices. Cross-retailer analytics must segment by market.
+
+### 4. Temporal Lag
+
+Price data has a freshness gap. A competitor may have changed a price 5 minutes ago that is not yet reflected in the data.
+
+---
+
+## Related Questions
+
+- [What Is Competitive Price Intelligence](/pages/what-is-competitive-price-intelligence)
+- [What Is Retailer Price Monitoring](/pages/what-is-retailer-price-monitoring)
+- [What Is a Price Benchmark](/pages/what-is-a-price-benchmark)
+- [What Is a Price Index](/pages/what-is-a-price-index)