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Maximize Your Profits Using Amazon Data Analytics with Sreenath Reddy

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Manage episode 495152652 series 3678297
Content provided by Selling on Giants: The eCommerce Marketplace Show. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Selling on Giants: The eCommerce Marketplace Show or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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In this episode of Selling on Giants, we dive deep into Amazon data analytics with Sreenath Reddy, CEO of Intentwise. With over 20 years of experience in digital advertising, Sreenath explains how brands can use Amazon’s wealth of data to optimize their strategies, drive profits, and stay competitive in a rapidly changing marketplace. From evolving data insights to leveraging AI, this episode is full of practical strategies for sellers. Get ready to take your Amazon business to the next level!

Key Takeaways:

1️⃣ Define Key Business Questions for Data
Before diving into Amazon’s data, it’s essential for brands to clearly define what they want to achieve. This means identifying the critical business questions your data should answer, such as tracking profitability or understanding shifts in customer behavior. By narrowing the focus to what truly impacts your growth, brands can cut through the noise and gain actionable insights. This sharp focus is the foundation for making smarter decisions that align with both short-term and long-term business goals.

2️⃣ Leverage Retail and Advertising Data for Full Performance Insights
Amazon provides sellers with two key types of data: advertising and retail. Combining these data sets gives a comprehensive view of product performance. For example, reviewing ad spend alongside inventory levels helps brands optimize their campaigns without running out of stock. This holistic approach allows sellers to adjust their strategies in real-time, ensuring they’re investing in the right areas and improving overall efficiency. Sellers who master this combination will gain a competitive advantage by making decisions based on a full picture of their product’s journey.

3️⃣ Use AI to Analyze Customer Feedback and Market Trends
The growing role of AI in eCommerce cannot be overstated. Sreenath emphasizes the power of AI to analyze unstructured data, such as customer reviews, to reveal deeper insights into purchasing trends and preferences. AI-driven analysis helps brands identify shifts in customer sentiment, uncover new marketing opportunities, and fine-tune product offerings. By leveraging AI, brands can stay ahead of evolving consumer needs and continuously refine their strategies to stay competitive.

Tune in to learn more about how to harness the full power of Amazon data analytics for growth and profitability!
#AmazonData #AIInMarketing #PPCOptimization #SellingOnGiants #eCommerceGrowth

  continue reading

64 episodes

Artwork
iconShare
 
Manage episode 495152652 series 3678297
Content provided by Selling on Giants: The eCommerce Marketplace Show. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Selling on Giants: The eCommerce Marketplace Show or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

In this episode of Selling on Giants, we dive deep into Amazon data analytics with Sreenath Reddy, CEO of Intentwise. With over 20 years of experience in digital advertising, Sreenath explains how brands can use Amazon’s wealth of data to optimize their strategies, drive profits, and stay competitive in a rapidly changing marketplace. From evolving data insights to leveraging AI, this episode is full of practical strategies for sellers. Get ready to take your Amazon business to the next level!

Key Takeaways:

1️⃣ Define Key Business Questions for Data
Before diving into Amazon’s data, it’s essential for brands to clearly define what they want to achieve. This means identifying the critical business questions your data should answer, such as tracking profitability or understanding shifts in customer behavior. By narrowing the focus to what truly impacts your growth, brands can cut through the noise and gain actionable insights. This sharp focus is the foundation for making smarter decisions that align with both short-term and long-term business goals.

2️⃣ Leverage Retail and Advertising Data for Full Performance Insights
Amazon provides sellers with two key types of data: advertising and retail. Combining these data sets gives a comprehensive view of product performance. For example, reviewing ad spend alongside inventory levels helps brands optimize their campaigns without running out of stock. This holistic approach allows sellers to adjust their strategies in real-time, ensuring they’re investing in the right areas and improving overall efficiency. Sellers who master this combination will gain a competitive advantage by making decisions based on a full picture of their product’s journey.

3️⃣ Use AI to Analyze Customer Feedback and Market Trends
The growing role of AI in eCommerce cannot be overstated. Sreenath emphasizes the power of AI to analyze unstructured data, such as customer reviews, to reveal deeper insights into purchasing trends and preferences. AI-driven analysis helps brands identify shifts in customer sentiment, uncover new marketing opportunities, and fine-tune product offerings. By leveraging AI, brands can stay ahead of evolving consumer needs and continuously refine their strategies to stay competitive.

Tune in to learn more about how to harness the full power of Amazon data analytics for growth and profitability!
#AmazonData #AIInMarketing #PPCOptimization #SellingOnGiants #eCommerceGrowth

  continue reading

64 episodes

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