In a competitive e-commerce landscape, making data-driven decisions is crucial for maximizing your Return on Ad Spend (ROAS). Our most common use case focuses on optimizing Google Shopping bid strategies based on real-time market data. How does it work?
ShoppingScraper collects invaluable data from Google Shopping, like the price and organic position of all sellers for a given EAN code. This data is then used to dynamically adjust your paid Google Ads. By advertising only when your price is competitive based on organic Google Shopping results, you significantly improve your ROAS.
But it doesn't stop there. Our service also delivers additional product information such as title, specifications, and images, enriching your data set for better decision-making.
To make this even more seamless, you can upload a Channable CSV feed with your assortment's EAN codes. ShoppingScraper checks this list every 24 hours and scrapes data at your specified frequency. The result? A freshly updated CSV containing real-time pricing and positions for each EAN, ready for you to leverage in your Google Shopping campaigns.
By marrying real-time market data with your Google Shopping bid strategy, you set the stage for more effective advertising and ultimately, higher ROAS.
What's next on your marketing roadmap?