Use Web Scraping to Create a Data-Driven Product

Product data, whether from e-commerce sites, auto listings, or product reviews, is a treasure trove of information that can give your business a huge competitive advantage in the market. Its intelligent consumption can revolutionize everyday business across all areas, unlocking new potential not only for business intelligence teams but also for their colleagues in marketing, sales, and management who rely on accurate data to make critical business decisions.

In this guide, we will walk you through the 5 most common and significant use cases of product data in business, which we hope will inspire you to find new ways to gain competitive advantages in the market.

•     Dynamic pricing and revenue optimization
•     Competitor monitoring
•     Product trend monitoring
•     Investment decision making
•     Brand and MAP compliance

Dynamic Price Monitoring and Revenue Optimization

To make profitable pricing decisions, it is crucial to have access to a timely and reliable source of high-quality data. Large-scale product monitoring using data obtained through web scraping gives companies the ability to keep their finger on the pulse of the entire market, enabling dynamic pricing, revenue optimization, and ensuring they are always one step ahead of competitors' product positioning strategies.

Thanks to scraping price and product data, business intelligence teams are able to confidently position their products and services and make smarter pricing decisions.

Competitor Monitoring

Using product data online to track competitors is as old as the Internet itself. However, thanks to the scale and volume of data available online, competitor analysis becomes even more effective when product data scraped from the web is incorporated into the process.

Advances in big data and machine learning technologies mean that companies can build sophisticated competitor monitoring capabilities for less money than before. This is driving huge demand for publicly available competitor data, especially product data. When used effectively, scraped product data can provide insights into competitor product positioning, future product launches, sales and promotional strategies, and consumer sentiment towards their products.

Product Trend Monitoring

Whether it's a long, slow shift or a fast trend cycle like in fashion or technology, those who can see future trends farthest ahead – and most accurately – come out on top. The scale and multi-dimensional nature of online product data make it ideal for trend monitoring, and when integrated into product management systems, product data allows companies to see further, predict more accurately, and ensure long-term revenue growth.

Developing in-house product trend monitoring capabilities gives companies the ability to consistently and quickly launch and market successful products while reducing risks. Online retailers can even use machine learning and web-scraped product images to carefully calibrate how they describe and advertise products, which is particularly effective as an e-commerce solution for capturing market share, improving search rankings, and increasing profitability.

Investment Decision Making

Hedge funds and account managers are increasingly incorporating alternative data streams into their decision-making processes, hoping to gain an information advantage over the market and generate alpha. As a result, demand for product data continues to grow, with most institutional investors increasing the amount of web-derived data they consume. Given its predictive value, it's easy to see why product data is generating immense interest.

Tracking year-over-year category share growth trends in online stores provides powerful predictive indicators of revenue and stock dynamics, while aggregated pricing history can point to sales and inventory issues. Additionally, search data related to the frequency and timing of online searches for a product or company provides strong signals about product sales, especially compared to competitor averages.

Brand and MAP Compliance

The world's most famous companies face the challenging task of ensuring their branding and messaging are consistent at every customer touchpoint. Brand reputation and MAP (Minimum Advertised Price) policies are integral to survival. Continuous scraping of your own product data is not only the fastest and most effective way to maintain compliance with resellers and retailers, but also possibly one of the only methods to truly ensure real-time compliance.

Distribution partners can no longer run flash sales aimed at undercutting MAP/MRP and expect to get away with it.

Product data collected from the web enables the integration of intelligent MAP monitoring systems into product management systems, allowing for rapid detection of violations. These systems can compare prices against agreements and immediately notify legal departments of violations, while simultaneously gathering evidence and suggesting a course of action. By quickly detecting MAP violations, companies using this solution reduce overall risk and protect revenue.

Product data unlocks the potential of all functions – from marketing and sales departments to product development and top management – and gives businesses a competitive advantage in today's ever-globalizing and digital marketplace.

As the market continues to grow, so does the volume of generated product data, opening up new opportunities for businesses to improve processes and decision-making. Therefore, it is crucial for modern enterprises to integrate product data into their product management systems as quickly as possible, because otherwise hidden data can largely determine development strategy and ensure the competitiveness of the company.