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Real-Time Regional Insights with Customizable E-commerce Dashboards

Introduction

As competition between Walmart+ and Amazon Prime intensifies, one of the most strategic levers for customer retention is loyalty-based pricing. However, these special prices are often gated behind logins or exclusive app views, making it difficult for brands to track and respond to them. Loyalty-based pricing intelligence has become crucial for understanding and reacting to these hidden offers.

Actowiz Solutions helped a U.S. national retail client monitor loyalty-only pricing to understand pricing gaps, offer benchmarking, and member vs non-member visibility.

Objectives

  • Extract and compare loyalty (Walmart+ and Prime) prices vs public prices.
  • Detect member-exclusive discounts, early deals, and hidden offers.
  • Track price patterns over time for 250 SKUs across 10 metro ZIP codes.
  • Enable pricing, sales, and marketing teams with actionable data.

Challenges

The-Client
  • Login-based access made it harder to retrieve member prices.
  • Session simulation required authenticated environments.
  • Some prices change dynamically based on cart behavior or order frequency.

Actowiz’s Solution Strategy

1. Loyalty Session Simulation:
  • Created authenticated user sessions for Walmart+ and Amazon Prime.
  • Captured page source and API response diffs for logged-in vs guest users.
2. SKU Matching & Data Tagging:
  • Tracked brand vs private label pricing by platform.
  • Categorized prices as:
    • 👥 Member-only
    • 🌐 Publicly visible
    • ⚡ Early-access deal
3. Temporal Monitoring:
  • Collected data every 3 hours for each SKU x ZIP x user state.
  • Identified short-lived deals available only to loyalty users.

Sample Data Snapshot

Platform SKU ZIP Member Price Public Price Discount % Type
Walmart+ Tide Pods 42ct 10001 $16.49 $17.99 8.3% 👥 Member-only
Amazon Bounty 6-Roll 90210 $8.79 $9.49 7.4% ⚡ Early Deal
Walmart Tropicana 52oz 30301 $5.29 $5.29 0.0% 🌐 Public

Key Results

The-Client
🔹 Identified 1,300+ Loyalty-Only Deals
  • Over 30 days, detected SKU-specific exclusive pricing patterns.
🔹 72% of Discounts Were Member-Only
  • Significant deals were hidden from public-facing listings.
🔹 Enabled Competitive Price Matching
🔹 Member Deal Duration Trendline
  • Mapped how long exclusive prices stayed live (avg: 8–12 hours).

Dashboards Delivered

  • Loyalty vs Public Pricing Matrix
  • Member-Only Price Drop Tracker
  • Brand vs Private Label Loyalty Comparison
  • Deal Duration Analyzer

Technology Stack

  • Languages: Python, JavaScript
  • Scraping Tools: Selenium, Puppeteer, API diff tracker
  • Authentication: Browser automation with secure credential rotation
  • Database: PostgreSQL, MongoDB
  • Visualization: Looker Studio, Power BI

Why Actowiz Solutions?

  • 🌐 End-to-end loyalty session simulation
  • 📈 Precision tracking of hidden pricing layers
  • 🚀 Automation at scale across major U.S. metros
  • ✅ Trusted by leading e-commerce & CPG brands

Client Testimonial

“Actowiz uncovered pricing layers we couldn’t see. This data now guides our loyalty strategy and retail negotiations.”

— VP of U.S. Digital Strategy, Retail FMCG

Next Steps

  • Expand to include Shipt, Instacart+ and Target Circle pricing
  • Integrate offer feedback loops from consumer reviews
  • Predict deal timing using machine learning

Conclusion

Loyalty programs hold hidden pricing power. With Actowiz Solutions' tracking system, brands now get full visibility into what members pay, how long deals last, and how to react competitively. This visibility enables data-driven pricing strategies that align with market dynamics. Loyalty pricing is no longer a black box.