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Real-Time Regional Insights with Customizable E-commerce Dashboards

Introduction

Introduction

Product bundles—such as “Buy 2, Save 10%” or “Combo Packs”—are powerful pricing strategies used by platforms like Amazon and Target. However, these bundles often update dynamically, vary by location, and remain difficult to monitor consistently.

A U.S.-based CPG brand partnered with Actowiz Solutions to track bundle pricing structures in real-time, benchmark combo savings, and compare individual vs grouped pricing strategies.

Objectives

The-Client
  • Track dynamic bundle offers for 150+ SKUs across Amazon and Target.
  • Compare bundle price vs individual SKU prices.
  • Detect location-based bundle pricing differences.
  • Alert sales and pricing teams of high-value promotions.

Challenges

The-Client
  • Bundle formats varied by platform (e.g., Target Circle, Amazon Multi-Buy).
  • Offers were often buried in page elements or triggered via JavaScript.
  • Bundle prices sometimes changed without affecting individual SKUs.

Actowiz Solutions’ Implementation Strategy

1. Page Behavior Emulation:
  • Used Puppeteer and headless Chrome to load dynamic bundle popups and JS-driven pricing elements.
  • Tracked DOM changes for bundle price activation.
2. Bundle-Individual Price Comparison:
  • Calculated effective unit cost across bundled and standalone listings.
  • Mapped bundle discount % by SKU and platform.
3. Real-Time Geo-Tracking:
  • Monitored ZIP-specific pricing to identify regional bundle discrepancies.
  • Compared bundle performance in 12 U.S. cities (NYC, Chicago, LA, Dallas, Atlanta, etc.)

Sample Data Snapshot

Platform SKU Bundle ZIP Bundle Price Individual Price Discount % Offer Type
Amazon 3x Oreo 15oz 10001 $11.25 $13.47 16.5% Multi-Pack
Target Tide + Downy Bundle 60601 $19.99 $22.48 11.1% Target Circle Deal
Amazon 2x Charmin 6-roll 90210 $16.49 $18.98 13.1% Auto-Applied Bundle

Key Results

🔹 Detected 1,100+ Active Bundles in 30 Days
  • Across Amazon and Target platforms for core product categories.
🔹 75% of Bundles Had Hidden Discount Logic
  • Not reflected in base pricing; required deep scraping to uncover.
🔹 Campaign Synchronization Enabled
  • Client aligned in-store bundle promos with eCommerce bundles.
🔹 Optimized Pricing Strategy
  • Adjusted individual SKU pricing to boost perceived value.

Dashboards Delivered

  • Bundle vs Individual Pricing Comparison Table
  • ZIP Code Bundle Discount Heatmap
  • Category-Wise Bundle Adoption Tracker
  • Alert Feed for New High-Value Bundle Activations

Technology Stack

The-Client
  • Languages: Python, JavaScript
  • Scraping: Puppeteer, Selenium, Playwright
  • Database: PostgreSQL, MongoDB
  • APIs: Amazon Offer Data (parsed), Target Promotions API
  • Visualization: Power BI, Looker Studio

Why Actowiz Solutions?

  • 🚀 Deep scraping of JavaScript-rendered bundle logic
  • 📈 Real-time discount benchmarking
  • 🔍 Full visibility into eCommerce promotion mechanics
  • 💡 Bundle campaign synchronization strategy

Client Testimonial

“Before Actowiz, we had no visibility into how Amazon and Target bundled our SKUs. Now we track every promotion and respond instantly.”

— Director of Digital Commerce, National Brand

Future Expansion

  • Integrate Walmart and Costco bundle tracking
  • Predict high-engagement bundle combos using AI
  • Map competitor bundles to price-match automatically

Conclusion

Bundled promotions are essential but hidden growth levers in modern retail. Actowiz Solutions empowered this client with real-time bundle visibility, data-driven price optimization, and a strategic edge across two of the largest platforms in the U.S. market.