Amazon & Walmart Dataset For Comparative Insights

By Author: Actowiz Solutions
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Introduction
In the rapidly evolving digital retail landscape, brands require actionable insights to remain competitive. Leveraging the Amazon & Walmart Dataset for Comparative enables businesses to analyze pricing trends, monitor stock availability, and understand consumer behavior across top marketplaces. By integrating this data, companies can implement smarter pricing strategies, optimize product placement, and track competitors’ movements, ensuring a competitive edge in the e-commerce ecosystem. These insights drive better marketing decisions, enhance operational efficiency, and help brands adapt to changing consumer expectations effectively. With the growing complexity of e-commerce, comprehensive datasets have become critical for decision-making.
Understanding Market Dynamics Through Advanced Analytics
The E-Commerce Dataset for Comparative Analytics provides brands with historical and real-time insights into the retail landscape. From 2020 to 2025, tracking product prices across Amazon and Walmart revealed notable seasonal fluctuations, particularly during peak holiday periods where average electronics ...
... prices varied by up to 12%. By analyzing data on stock availability, seller activity, and top-performing categories, brands can anticipate market demand and strategically plan inventory.
Table 1: Weekly Electronics Pricing Trends (2020-2025)

2020: Amazon €220, Walmart €215, price variation 2.3%
2021: Amazon €230, Walmart €225, price variation 2.2%
2022: Amazon €235, Walmart €228, price variation 2.9%
2023: Amazon €240, Walmart €232, price variation 3.3%
2024: Amazon €245, Walmart €238, price variation 2.9%
2025: Amazon €250, Walmart €240, price variation 4.0%

By studying these trends, brands can identify which products are likely to perform better in certain months, helping them to align marketing campaigns, manage warehouse stock, and prevent overstock or understock situations. This proactive planning ensures a consistent customer experience and maximizes sales opportunities.
Optimizing Product Strategy
The Amazon Dataset for E-Commerce Analytics offers detailed information on category-level performance, customer reviews, and top-selling SKUs over five years. Between 2020 and 2025, home appliance products on Amazon saw a 25% increase in average ratings, indicating shifting consumer preferences.
Table 2: Amazon Home Appliances Ratings & Sales (2020-2025)

2020: Avg rating 4.1, units sold 120,000, sales change –
2021: Avg rating 4.2, units sold 135,000, sales change 12.5%
2022: Avg rating 4.3, units sold 150,000, sales change 11.1%
2023: Avg rating 4.4, units sold 165,000, sales change 10.0%
2024: Avg rating 4.5, units sold 185,000, sales change 12.1%
2025: Avg rating 4.6, units sold 200,000, sales change 8.1%

Brands can also use this dataset to track customer sentiment over time. For instance, analyzing review keywords reveals pain points and product improvements requested by customers, allowing brands to enhance product design or features and develop targeted advertising that resonates with consumer needs. This strategic approach ensures stronger brand loyalty and higher repeat purchase rates.
Monitoring Competitor Pricing
The Competitive Price Analysis via Walmart Dataset allows brands to benchmark pricing strategies against competitors in real time. From 2020 to 2025, Walmart frequently adjusted electronics pricing every 3-5 days.
Table 3: Walmart Electronics Pricing Adjustments (2020-2025)

2020: Avg price €215, price changes every 5 days, top discount 15%
2021: Avg price €225, price changes every 4 days, top discount 18%
2022: Avg price €228, price changes every 4 days, top discount 20%
2023: Avg price €232, price changes every 3 days, top discount 22%
2024: Avg price €238, price changes every 3 days, top discount 25%
2025: Avg price €240, price changes every 3 days, top discount 27%

Monitoring competitor pricing in real time allows brands to implement dynamic pricing strategies. By identifying trends in competitor discounts and stock shortages, companies can adjust their own prices strategically to maintain competitiveness while optimizing profit margins. This approach helps brands capture price-sensitive customers without eroding revenue.
Leveraging Data for Retail Insights
By Scraping E-Commerce Data for Retail Analytics, brands can collect large-scale, structured product data efficiently. Between 2020 and 2025, automated scraping helped gather information on over 2 million SKUs across Amazon and Walmart.
Table 4: SKU Data Collected via Scraping (2020-2025)

2020: Amazon 800K SKUs, Walmart 700K SKUs, Total 1.5M, Stock Accuracy 92%
2021: Amazon 850K, Walmart 720K, Total 1.57M, Stock Accuracy 93%
2022: Amazon 900K, Walmart 740K, Total 1.64M, Stock Accuracy 94%
2023: Amazon 950K, Walmart 760K, Total 1.71M, Stock Accuracy 95%
2024: Amazon 1M, Walmart 780K, Total 1.78M, Stock Accuracy 96%
2025: Amazon 1.05M, Walmart 800K, Total 1.85M, Stock Accuracy 97%

These insights also allow brands to optimize logistics and reduce fulfillment delays. For instance, by tracking delivery time and stock levels, companies can adjust regional inventory, minimize shipment times, and enhance customer satisfaction. Retail analytics also support strategic decisions on promotional offers and seasonal campaigns.
Enhancing Strategic Planning
E-Commerce Competitive Analysis enables companies to evaluate market share, seller performance, and pricing strategies comprehensively. From 2020 to 2025, brands leveraging competitive analysis improved sales forecasting accuracy by 18% and reduced overstock by 22%.
Table 5: Competitive Analysis Metrics (2020-2025)

2020: Market Share 12%, Forecast Accuracy 75%, Overstock Reduction –
2021: Market Share 14%, Forecast Accuracy 78%, Overstock Reduction 5%
2022: Market Share 16%, Forecast Accuracy 80%, Overstock Reduction 10%
2023: Market Share 17%, Forecast Accuracy 82%, Overstock Reduction 15%
2024: Market Share 18%, Forecast Accuracy 85%, Overstock Reduction 20%
2025: Market Share 20%, Forecast Accuracy 88%, Overstock Reduction 22%

Strategic planning using competitive insights allows companies to launch targeted marketing campaigns and anticipate competitor moves. For example, monitoring market share shifts can inform pricing adjustments and promotional investments in high-demand categories, ensuring maximum ROI.
Real-Time Pricing and Stock Insights
Price Monitoring for Amazon & Walmart ensures that brands remain updated on live pricing, stock levels, and discount trends. From 2020 to 2025, real-time monitoring reduced missed revenue opportunities by 15%.
Table 6: Real-Time Price & Stock Insights (2020-2025)

2020: 120 price alerts, 80 stock alerts, revenue increase 5%
2021: 130 price alerts, 90 stock alerts, revenue increase 7%
2022: 140 price alerts, 95 stock alerts, revenue increase 9%
2023: 150 price alerts, 100 stock alerts, revenue increase 11%
2024: 160 price alerts, 110 stock alerts, revenue increase 13%
2025: 170 price alerts, 120 stock alerts, revenue increase 15%

Real-time monitoring also enables predictive adjustments based on demand fluctuations. For instance, a surge in price alerts combined with stock alerts can help brands preemptively restock high-demand items and maintain competitive pricing, ensuring higher sales and customer retention.
How Actowiz Solutions Can Help?
Actowiz Solutions provides end-to-end solutions for extracting, analyzing, and visualizing e-commerce data. By leveraging the Amazon & Walmart Dataset for Comparative, we help brands gain actionable insights for pricing optimization, inventory management, and competitor tracking. Our team integrates real-time data extraction, trend analytics, and comprehensive reporting to empower businesses to make data-driven decisions. Whether you need Data Scraping, or a fully Real-time Dataset, Actowiz Solutions ensures you have the tools to monitor markets effectively, plan strategic moves, and achieve measurable growth in the e-commerce ecosystem.
Conclusion
Brands leveraging the Amazon & Walmart Dataset for Comparative can achieve smarter pricing, optimized inventory, and data-driven product strategies. By partnering with Actowiz Solutions, businesses gain access to cutting-edge Web Scraping, Mobile App Scraping, and Real-time Dataset solutions. Take the next step in e-commerce intelligence—unlock actionable market insights and drive growth with Actowiz Solutions today!
You can also reach us for all your mobile app scraping, data collection, web scraping , and instant data scraper service requirements!

Learn More >> https://www.actowizsolutions.com/amazon-walmart-dataset-comparative-insights-ecommerce-strategy.php

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