---
name: pricing-intelligence
description: Monitor competitor pricing strategies, track promotional activities, analyze pricing trends, and optimize your pricing based on competitive intelligence. Use when tracking competitor prices, analyzing promotional patterns, optimizing pricing strategy, conducting price elasticity analysis, or building pricing intelligence dashboards. Triggers on phrases like "competitor pricing", "price monitoring", "pricing intelligence", "price tracking", "promotional tracking", "price optimization", "dynamic pricing", "price elasticity", "pricing strategy", "competitive pricing".
---

# Pricing Intelligence Tool

Monitor, analyze, and optimize pricing based on competitive intelligence and market dynamics.

## Workflow

1. Identify key competitors and map their product catalog to your product catalog.
2. Set up automated price monitoring: Web scraping, API integrations, manual checks.
3. Track promotional activities: Discount patterns, seasonal promotions, bundle offers.
4. Analyze pricing trends: Historical price movements, elasticity, price positioning.
5. Generate competitive pricing reports: Price comparison matrices, gap analysis.
6. Recommend pricing adjustments: Data-driven price change recommendations.
7. Implement and monitor price changes: A/B test new prices, track conversion impact.
8. Establish pricing governance: Approval workflows, price change documentation.

## Price Monitoring Framework

```
PRICE TRACKING SYSTEM
=======================

MONITORING FREQUENCY:
  E-commerce / Retail: Daily (prices change frequently)
  SaaS / B2B: Weekly (prices more stable)
  Services: Bi-weekly or monthly
  Promotions: Real-time alerts (price drop detection)

DATA COLLECTION METHODS:
  → Automated web scraping: PriceAPI, ScrapingBee, custom scripts
  → API integration: Competitor price feeds (if available)
  → Manual checks: Mystery shopping, regular price audits
  → Third-party tools: Price2Spy, Competitor Monitor, Mappydata
  → Public data: Published pricing pages, G2/Capterra pricing data

PRODUCT MAPPING:
  Step 1: Create competitor product comparison matrix
  Step 2: Map your SKUs to competitor equivalents (by features, tier, value)
  Step 3: Note where competitors have no equivalent (differentiation opportunity)
  Step 4: Note where you have no equivalent (pricing gap)

PRICE COMPARISON DASHBOARD:

  ┌──────────────────┬──────────┬──────────┬──────────┬──────────┬──────────┐
  │ Product / Tier   │ Our Price│ Comp A   │ Comp B   │ Comp C   │ Market   │
  │                  │ ($)      │ ($)      │ ($)      │ ($)      │ Avg ($)  │
  ├──────────────────┼──────────┼──────────┼──────────┼──────────┼──────────┤
  │ Basic / Starter  │ $29      │ $25      │ $35      │ $29      │ $29.5    │
  │ Professional     │ $79      │ $69      │ $89      │ $75      │ $75.5    │
  │ Enterprise       │ $199     │ $179     │ $219     │ $189     │ $195.7   │
  │ Custom / Custom  │ Custom   │ Custom   │ Contact  │ Custom   │ N/A      │
  │ ─────────────────┼──────────┼──────────┼──────────┼──────────┼──────────┤
  │ Position         │ 2nd      │ Lowest   │ Highest  │ 2nd Low  │          │
  └──────────────────┴──────────┴──────────┴──────────┴──────────┴──────────┘

  POSITION ANALYSIS:
    → Above market average: Premium positioning (justify with value differentiation)
    → At market average: Competitive parity (compete on features/service)
    → Below market average: Value positioning (risk: race to bottom)
    → Custom/opaque: Enterprise pricing strategy (negotiation-based)

PRICE ELASTICITY ANALYSIS:
  → Formula: % Change in Demand / % Change in Price
  → Elastic (> 1.0): Price changes significantly impact demand
  → Inelastic (< 1.0): Price changes have minimal demand impact
  → Unit elastic (= 1.0): Revenue unchanged with price changes
  → Measurement: A/B test price changes, track conversion rate impact
  → Industry benchmarks:
     SaaS: 0.5-1.5 (moderately elastic)
     E-commerce: 1.5-3.0 (highly elastic)
     Luxury: 0.2-0.8 (inelastic)
     Essential services: 0.1-0.5 (very inelastic)
```

## Promotional Tracking

```
PROMOTIONAL INTELLIGENCE
==========================

PROMOTION TYPES TO TRACK:
  → Percentage discounts (10% off, 25% off, 50% off)
  → Fixed-amount discounts ($20 off, $50 off)
  → Bundle offers (Buy X + Y, save Z%)
  → Free shipping thresholds
  → Limited-time offers (flash sales, seasonal)
  → Loyalty member exclusives
  → First-time customer discounts
  → Volume/quantity discounts
  → Subscription discounts (annual vs. monthly)

PROMOTION CALENDAR:

  ┌──────────────┬────────────────────┬──────────────┬──────────────┐
  │ Period       │ Competitor A       │ Competitor B │ Competitor C │
  ├──────────────┼────────────────────┼──────────────┼──────────────┤
  │ Jan (New Year│ 20% off annual     │ Free trial   │ No promo     │
  │  sales)      │                    │ extended     │              │
  │ Feb (Valentine│ No promo           │ Bundle offer │ 15% off      │
  │  / Pres.)    │                    │              │              │
  │ Mar (Q1 end) │ End-of-quarter:    │ No promo     │ Flash sale:  │
  │              │ 15% off enterprise │              │ 30% (24 hrs) │
  │ Apr          │ No promo           │ Free shipping│ No promo     │
  │ May (MOAD)   │ Mother's Day bundle│ 25% off      │ No promo     │
  │ Jun (Summer) │ Summer sale: 20%   │ Back to school│ Summer 15%  │
  │ Jul-Aug      │                    │ early: 10%   │              │
  │ Sep (Back to │ Back to school:    │ No promo     │ Labor Day:   │
  │  school)     │ 15% off bundles    │              │ 20% off      │
  │ Oct          │ No promo           │ Halloween    │ No promo     │
  │ Nov (Black   │ BFCM: 40% + free   │ BFCM: 35%    │ BFCM: 45%    │
  │  Friday)     │  shipping          │ + bundle     │ + flash      │
  │ Dec (Holiday) │ Holiday sale: 30%  │ Holiday 25%  │ 30% + bundle │
  └──────────────┴────────────────────┴──────────────┴──────────────┘

PROMOTIONAL PATTERN ANALYSIS:
  → Competitor A: Aggressive discounting, quarterly promotions, highest BFCM discount
  → Competitor B: Moderate promotions, focused on bundles and shipping
  → Competitor C: Selective promotions, flash sales, competitive during holidays
  → Pattern: All competitors discount 20-45% during Q4 (plan accordingly)

RESPONSE STRATEGY:
  → Competitor matches our price: Maintain position, compete on features
  → Competitor drops price > 10%: Assess impact, consider matching or value reinforcement
  → Competitor runs flash sale: Monitor conversion impact, no immediate response needed
  → Competitor launches new tier: Analyze feature/price ratio, assess positioning impact
```

## Integration Points

- **Price2Spy / Competitor Monitor / Mappydata**: Automated price tracking, historical data, price change alerts
- **Prisync / Pricefx**: Competitive price monitoring, dynamic pricing recommendations, price optimization
- **Google Shopping / Shopping ads**: Price comparison across retailers, marketplace pricing
- **Keepa / CamelCamelCamel**: Amazon price history tracking, price drop alerts
- **BuiltWith / Wappalyzer**: Competitor pricing page technology detection
- **Facebook Ad Library**: Competitor promotional ad tracking
- **Looker Studio**: Pricing intelligence dashboard, trend visualization
- **Airtable / Notion**: Price comparison database, change log, approval workflow

## Edge Cases

- **Dynamic and personalized pricing**: Competitors using AI-driven dynamic pricing
  - Detection: Price varies by time, user, or session
  - Tracking: Multiple checks throughout day, different browser sessions
  - Response: Consider own dynamic pricing capabilities (Prodea, Zilliant)
  - Ethics: Price discrimination regulations vary by jurisdiction

- **Opaque and negotiated pricing**: B2B enterprise pricing not publicly visible
  - Challenge: Pricing only available through sales negotiations
  - Workaround: Win/loss analysis, customer surveys, sales intelligence
  - Workaround: Published case studies sometimes reveal pricing ranges
  - Approach: Focus on value-based positioning rather than price matching