To make the highest profit, retailers can change the price of their product based on current market demands. To evaluate the demand, they require fresh and accurate data – here’s where web scraping comes in. Oxylabs offers reliable data gathering solutions that will help you:
Oxylabs’ solutions will help you:
Measure several factors in real-time
Adjust to market demands
Get full control for supply and demand
Get Oxylabs’ web intelligence collection solutions and see how large-scale data can help build a profitable pricing model.
Gather fresh data that accurately reflects the present market situation.
Focus on data analysis while we take care of scraper maintenance.
Bypass geographical restrictions and get pricing data from any country needed.
To implement the dynamic pricing model, companies need to track several internal and external factors simultaneously and in real-time. The factors include:
Stock
Shipping costs
Competitor activity
Consumer behavior
…and more.
Having insight into the market's demands allows companies to set dynamic prices and maximize their profit. For example, businesses can detect when interest in a product (or service) surges and, strategically, increase the price at the time.
A dynamic pricing strategy allows companies to manage product supply more effectively. For example, they can lower the prices for surplus products to sell them out quicker. In addition, companies can use historical data to analyze past trends and stock up products before peaks.
E-Commerce Scraper API
Specifically designed to scrape online marketplaces, E-Commerce Scraper API delivers pricing, product information, and other data.
Flexible and customizable
Automated jobs
Several delivery options
Residential Proxies
Build your own web scraping infrastructure and use Residential Proxies for human-like scraping.
Unlimited concurrent sessions
Single back-connect entry
State and city-level targeting
More benefits of E-Commerce Scraper API
In-depth tutorials
Enjoy the easy process with our detailed documentation
Fresh and accurate data
Receive data in seconds with our real-time delivery method
100% success rate
Pay for successful results only
More benefits of Residential Proxies
24/7 support
Get assistance on any web scraping-related matter 24/7
Large Residential IP pool
Make the most of our global 100M+ Residential IP pool
Session control
Utilize our flexible and adjustable session control feature
We offers several data gathering solutions for dynamic pricing – learn more to choose the ideal option for your business.
Dynamic pricing is a pricing strategy that allows businesses to set different goods or service prices based on market demands. In a broader perspective, dynamic pricing is part of pricing intelligence, a
process of acquiring and processing data in order to optimize their pricing structure and drive profit growth.
There are several types of dynamic pricing strategies based on different factors:
Group-based – offering discounts for specific groups – e.g., senior citizens;
Time-based – following demand fluctuations throughout the day and adjusting price accordingly;
Cost-plus pricing – selling a product for more than it costs to make it;
Competitor based – analyzing your competitors’ pricing and adjusting your own accordingly;
Value-based pricing– selling products for a price the company feels their customers are willing to pay;
Price skimming – charging the maximum price that customers can afford, then gradually decreasing it.
Bundle pricing strategy – grouping several products and selling them together instead of charging for them separately.
Penetration pricing – a pricing method where a company offers lower product prices than their competitors – usually, upon entering the market – and raising it gradually.
Dynamic pricing engine is a tool that uses data that’s given to it and changes pricing accordingly. These tools are used in the e-commerce sector to reprice products based on market demands – e.g., setting higher prices upon increased demand to make the biggest profit.
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