Explore Diwali & Dhanteras home décor trends on Amazon, Flipkart, and Myntra by analyzing data collected through Scrape Diwali product data.
Introduction
The festive season of Diwali and Dhanteras is a peak period for online retail, especially in home décor, electronics, jewelry, and fashion segments. Understanding consumer preferences, price fluctuations, and promotional trends during this period is critical for eCommerce businesses, brands, and market analysts. By leveraging Scrape Diwali product data from eCommerce sites, businesses can gather real-time insights on trending products, price movements, and shopper behavior across leading platforms such as Amazon, Flipkart, and Myntra.
Tracking Home Décor Sales Trends (2020–2025)
The Diwali and Dhanteras festive season has become one of the most significant periods for online home décor sales in India. Consumers increasingly prefer online platforms such as Amazon, Flipkart, and Myntra for convenient access to lamps, wall art, festive lighting, and decorative accents. By using Scrape Diwali product data from eCommerce sites, Product Data Scrape was able to analyze trends and provide actionable insights to retailers and brands.
2020 → Avg Price ₹1,150 | Avg Discount 12% | Units Sold 85K (Base Year – Modest Growth)
2021 → Avg Price ₹1,210 | Avg Discount 14% | Units Sold 98K (Rising Demand & Better Offers)
2022 → Avg Price ₹1,280 | Avg Discount 16% | Units Sold 112K (Momentum Picks Up)
2023 → Avg Price ₹1,340 | Avg Discount 18% | Units Sold 130K (Strong Yearly Surge)
2024 → Avg Price ₹1,420 | Avg Discount 20% | Units Sold 145K (Peak Discounts, Solid Volume)
2025* → Avg Price ₹1,500 | Avg Discount 22% | Units Sold 160K (Projected High – Consistent Uptrend)
By employing scrape Diwali and Dhanteras festive product data, brands can segment trends by category, city, and price range. For instance, decorative lamps and fairy lights consistently recorded the highest sales volume, whereas wall art and showpieces saw higher average selling prices with moderate volumes. This segmentation allows marketers to focus their campaigns on high-demand SKUs while maintaining healthy profit margins.
Electronics & Gadgets Buying Patterns
The electronics category sees a significant spike in sales during Diwali and Dhanteras, driven by both gifts and personal purchases. Products such as smartphones, laptops, smart TVs, and kitchen appliances dominate sales. Product Data Scrape employed scrape Dhanteras jewelry and electronics data and Extract Electronics Product Data to gain actionable insights into trends, pricing, and promotional effectiveness.
2020 → Avg Price ₹25,000 | Avg Discount 10% | Units Sold 45K (Steady Start)
2021 → Avg Price ₹27,500 | Avg Discount 12% | Units Sold 55K (Rising Demand)
2022 → Avg Price ₹30,000 | Avg Discount 14% | Units Sold 68K (Momentum Builds)
2023 → Avg Price ₹33,000 | Avg Discount 16% | Units Sold 78K (Strong Growth)
2024 → Avg Price ₹36,500 | Avg Discount 18% | Units Sold 92K (Peak Sales Year)
2025* → Avg Price ₹40,000 | Avg Discount 20% | Units Sold 105K (Projected Record High)
Analysis of the table demonstrates that average product prices increased steadily, reflecting both new product launches and enhanced features. Discounts also grew annually, demonstrating competitive pricing strategies adopted by online marketplaces. Units sold show a clear upward trajectory, suggesting rising consumer adoption and trust in online electronics shopping.
Furthermore, SKU-level monitoring allows predictive analytics for stock replenishment. High-demand SKUs are prioritized to prevent lost sales, while slower-moving SKUs are discounted strategically. SKU-level price intelligence ensures that each product is competitively priced, balancing profitability and sales volume.
Overall, understanding electronics buying patterns through real-time scraping Diwali festival discounts and trends allows retailers to forecast demand, optimize pricing, and deliver targeted offers to maximize festive revenue.
Unlock powerful insights from festive electronics trends — leverage Scrape Diwali product data from eCommerce sites to optimize pricing and maximize sales!
Jewelry & Accessories Buying Insights
The Dhanteras festival is synonymous with purchasing gold, silver, and other jewelry, making it one of the highest-grossing periods for online jewelry and accessory sales. Product Data Scrape leveraged Extract Jewelry & Accessories Data and scrape Dhanteras jewelry and electronics data to analyze trends, pricing strategies, and consumer behavior from platforms like Amazon, Flipkart, and Myntra.
2020 → Avg Price ₹15,000 | Avg Discount 5% | Units Sold 30K (Starting Point)
2021 → Avg Price ₹16,200 | Avg Discount 7% | Units Sold 35K (Gradual Uptick)
2022 → Avg Price ₹17,500 | Avg Discount 8% | Units Sold 42K (Steady Growth)
2023 → Avg Price ₹18,800 | Avg Discount 9% | Units Sold 50K (Strong Performance)
2024 → Avg Price ₹20,500 | Avg Discount 10% | Units Sold 58K (High Demand)
2025* → Avg Price ₹22,000 | Avg Discount 12% | Units Sold 65K (Projected Peak)
Analysis shows steady growth in both average price and units sold from 2020 to 2025. While discounts remain moderate compared to electronics and fashion, they are strategically applied to high-value items to incentivize purchases. By applying SKU-level price intelligence, retailers can identify high-demand jewelry items and offer targeted promotions that maximize revenue.
Additionally, using scraping Diwali festival discounts and trends, Product Data Scrape provided insights into top-performing SKUs, seasonal variations in product popularity, and competitor promotional tactics. This information is critical for aligning stock levels with anticipated demand. Diwali product dataset for market research also enables trend forecasting, identifying the materials, designs, and categories that resonate most with consumers.
The data revealed that gold jewelry accounted for 60% of total units sold, while silver and artificial jewelry comprised the remaining 40%. By monitoring SKU-level trends, brands can optimize inventory, pricing, and promotional strategies. Retailers using Pricing Intelligence Services can strategically schedule flash sales, highlight premium products, and respond to competitor price changes instantly.
In conclusion, SKU-level price intelligence combined with jewelry-specific scraping enables brands to maintain competitive pricing, improve conversion rates, and increase sales efficiency during the high-stakes Dhanteras shopping season.
Fashion & Apparel Sales Trends
Fashion and apparel sales peak during Diwali, with consumers purchasing ethnic wear, festive footwear, and accessories. Product Data Scrape utilized Extract Fashion & Apparel Data and scrape Diwali and Dhanteras festive product data to track pricing, discounts, and units sold on major eCommerce platforms.
2020 → Avg Price ₹1,200 | Avg Discount 15% | Units Sold 90K (Starting Year)
2021 → Avg Price ₹1,350 | Avg Discount 17% | Units Sold 105K (Growing Momentum)
2022 → Avg Price ₹1,450 | Avg Discount 18% | Units Sold 120K (Steady Rise)
2023 → Avg Price ₹1,600 | Avg Discount 20% | Units Sold 135K (Strong Performance)
2024 → Avg Price ₹1,750 | Avg Discount 22% | Units Sold 150K (High Demand)
2025* → Avg Price ₹1,900 | Avg Discount 25% | Units Sold 170K (Projected Peak)
Analysis indicates a consistent rise in both average price and discount percentages, suggesting aggressive promotional strategies. Units sold increased steadily, highlighting a shift toward online festive shopping for fashion items. Retailers benefit from Diwali festival product price scraping, allowing them to track competitor pricing in real-time and adjust their own offers dynamically.
Discounts & Promotional Analytics
Promotions during Diwali and Dhanteras play a crucial role in driving sales. Product Data Scrape applied Pricing Intelligence Services and scraping Diwali festival discounts and trends to monitor and analyze the effectiveness of discounts across categories such as electronics, home décor, jewelry, and fashion.
2020 → Avg Discount 10% | Promo Frequency 5 | Units Sold 80K (Base Year)
2021 → Avg Discount 12% | Promo Frequency 6 | Units Sold 95K (Rising Promotions)
2022 → Avg Discount 14% | Promo Frequency 7 | Units Sold 110K (Growing Sales)
2023 → Avg Discount 16% | Promo Frequency 8 | Units Sold 125K (Strong Performance)
2024 → Avg Discount 18% | Promo Frequency 9 | Units Sold 140K (High Engagement)
2025* → Avg Discount 20% | Promo Frequency 10 | Units Sold 155K (Projected Peak)
The table illustrates a clear increase in both discount percentage and promotional frequency, demonstrating how retailers compete aggressively during peak festive shopping. SKU-level price intelligence ensures that these discounts are applied optimally without eroding margins.
In conclusion, analyzing discounts and promotions through SKU-level price intelligence allows retailers to make data-driven decisions, optimize campaign effectiveness, and improve overall festive season performance.
Boost festive revenue with SKU-level price intelligence — track real-time discounts using Scrape Diwali product data from eCommerce sites today!
Regional & Platform-Level Insights
Different eCommerce platforms and regions exhibit varying consumer behaviors during Diwali and Dhanteras. Using Scrape Diwali product data from eCommerce sites, Product Data Scrape analyzed platform-level trends on Amazon, Flipkart, and Myntra, while segmenting sales by major metro and Tier-2 cities.
Amazon → Avg Order Value ₹1,750 | Units Sold 500K | Avg Discount 18% (Market Leader)
Flipkart → Avg Order Value ₹1,680 | Units Sold 420K | Avg Discount 16% (Strong Competitor)
Myntra → Avg Order Value ₹1,500 | Units Sold 310K | Avg Discount 20% (Fashion Focused)
The integration of SKU-level price intelligence with advanced analytics tools ensures accurate monitoring of sales trends and competitor strategies. Web Data Intelligence API and Pricing Intelligence Services further empower marketers to make informed decisions, reduce revenue leakage, and maximize ROI. With actionable insights from historical and current Diwali product dataset for market research, brands can plan campaigns, allocate resources effectively, and enhance customer engagement throughout the festive season.
Turn real-time insights into strategic advantage this festive season. Optimize pricing, increase conversions, and enhance customer satisfaction with Product Data Scrape.
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