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

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

🔹 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

Brand teams adjusted Amazon ads and Walmart listings accordingly.

🔹 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.

Real Results from Real Clients

Hear It Directly from Our Clients

Watch how businesses like yours are using Actowiz data to drive growth.

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1 min

★★★★★

"Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing!"

Thomas Galido

Co-Founder / Head of Product at Upright Data Inc.

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2 min

★★★★★

"Actowiz delivered impeccable results for our company. Their team ensured data accuracy and on-time delivery. The competitive intelligence completely transformed our pricing strategy."

Iulen Ibanez

CEO / Datacy.es

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1:30

★★★★★

"What impressed me most was the speed — we went from requirement to production data in under 48 hours. The API integration was seamless and the support team is always responsive."

Febbin Chacko

-Fin, Small Business Owner

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