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To stay at the forefront, electronic commerce companies cannot ignore the importance of the data, especially the type of public web data to which its competition has access. Whether you are tracking competition prices or capturing the latest consumer trends, having access to web data allows companies to make smarter decisions, regardless of what sector they are in.
However, the specific types of required data and their applications may vary significantly from one industry to another. In this piece, I would like to give you an idea of the differences and similarities of data collection.
Related: How to use the right data to make effective commercial decisions
Who needs data? All!
Electronic commerce companies in all industries depend on web data to monitor competitors, evaluate their market position and discover new growth roads. Recent statistics show that in 2024, around 2.5 billion people, almost a third of the world’s population, made online purchases of consumer goods worldwide. This mass digital market generates a treasure of valuable public data, such as:
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Price information
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Data on product availability
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Consumer reviews and feelings
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Search and keyword trends
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Promotional strategies
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Market Participation Indicators
All this, and more, can be collected and analyzed with the help of the web scraping. Now, let’s take a closer look at how different industries take advantage of web data to improve their decision -making and overcome their respecting challenges.
Seasonal strategies of the furniture and high -value purchasing industry
The furniture industry operates with clear season patterns, with important sales in January and July as the retailers leave space for a new inventory. Pico duration times, prices can fall anywhere from 10% to huge 60%, so it is a crucial time for both buyers and vendors.
Specific industry data needs:
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Seasonal price trends: Monitor how competitors adjust their discounts maximum duration of free space.
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Vacation promotion strategies: Observing special offers duration of large weekends of purchases, such as Presidents Day, Fallen Day and Labor Day, when the furniture is discount.
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Consumer research patterns: Obtain information about the online purchase trip outside line. For example, the famous 7 rule could be changing as people visit a store less times before making a purchase.
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Availability of apartment sample: Maintain the possibilities that competitors offer floor models with significant discounts.
Related: once, only for large companies, the ‘web scraping’ is now an online weapons race that cannot avoid the Internet seller.
Fashion industry – rapid cycles and trend detection
The fashion industry has a remarkable increase, with suggestions of estimates that it could reach an internship of $ 1,183 billion by 2029, growing at an annual printing rate or 8.94%. This sector is characterized by its rapid cycles of products, constantly changing trends and a growing number of consumers aware of sustainability.
Specific industry data needs:
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Anticipation of trends: Examining social networks and review the data to detect emerging styles before reaching the mainstream.
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Inventory monitoring: Maintain eyelashes at the stock levels of competition to identify articles with high demand.
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Sustainable products positioning: Collect data on how competitors promote their sustainability claims. This is important because it is, as Deloitte, 60% or millennials and 59% of the Z generation are willing to pay more for sustainable products and services.
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Fast fashion prices: Monitoring of real -time prices to stay at the forefront of the competition.
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FALSIFIED detection: Online market scan for unauthorized replicas that could damage the brand’s reputation.
Electronic industry: technical specifications and product life cycles
The electronics industry faces some unique challenges, such as dealing with complex products, a technological change of rapid rhythm and short product life cycles. Given the estimated annual compound growth rate of the industry or 7.5% from 2024 to 2031, making data -based decisions is more important than ever.
Specific industry data needs:
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SERIAL NUMBER MANAGEMENT: Monitor the product specifications on several platforms to maintain consistency.
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Product life cycle data: Staying in the eye when competitors begin to rule out older models to give way to the latest technology.
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Detailed specifications: Ensure that all technical information is easily available and competitive.
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Electronic Consumer Price Strategy: Using real -time price intelligence for high -value items, consumers, especially, always buy prices.
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Stock prediction modeling: Levers historical sales data to adjust the inventory of products with short life cycles.
Related: the scratch of the website is an easy growth trick that should try
Food and beverage industry: health trends and ingredient transparency
The food and beverage sector is experiencing constant growth, projected to exceed $ 6,200,011 million (2024) to $ 9,807,540 million by 2032, which reflects a CAG or 5.9%. This industry requires a compilation of specialized data to address food safety regulations, dietary trends and consumer health conerns.
Specific industry data needs:
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Ingredient transparency: It is crucial to monitor how competitors present their nutritional information. After all, the investigation has shown that more than half of the Americans say that package front labels (FOP) affect their food and drink purchases, and a quarter consider that this impact is significant.
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Emerging dietary trends: Companies must identify consumer preferences for organic, sustainable or plants -based products.
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Allergen labeling practices: Monitoring how competitors comply with allergen documentation is vital, particularly for the 220 million people living with food allergies worldwide.
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Adoption of subscription models: Analyze how competitors are implementing recurrent purchase options. It is projected that food subscriptions contribute to a global subscription economy of $ 442 billion by 2025.
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Omnicanal integration: Understanding how competitors connect online and off -line experiences is key.
Collecting web data is a change of game for electronic commerce in all sectors, but the type of information you need and how you should use it can do the excellent industry to the industry. With the help of web scraping approaches adapted to a specific industry, companies can stand out taking advantage of ideas in real time and using them to inform their price strategies, product and marketing development.
As electronic commerce continues to grow at a global scale, those who know how to make the most of public web data will be in the best place to understand market trends, predict what consumers want and, ultimately, take a larger portion of the market in their areas.
