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Transcript

Introduction

Sreenath Reddy: Welcome to the Intentwise Connect podcast, where we explore insights and strategies for data-driven success. I'm your host, Sreenath Reddy, Founder & CEO of Intentwise. Today, I’m joined by Nathan Moran, an expert in data strategy, to discuss building and implementing data strategies for global e-commerce brands. Nathan, welcome to the show!

Nathan Moran: Thanks, Sreenath. I’m excited to be here and share some insights with your listeners.

Understanding Data Strategy in E-commerce

Sreenath Reddy: Nathan, for those unfamiliar with the concept, how would you define a data strategy for an e-commerce brand?

Nathan Moran: A data strategy is essentially a roadmap for how a business collects, organizes, and leverages data to achieve its goals. For e-commerce brands, this could mean improving customer segmentation, enhancing product recommendations, or ensuring better inventory management. The key is building a strategy that aligns with business objectives and drives decision-making.

Common Data Challenges for Global E-commerce Brands

Sreenath Reddy: What are some of the biggest data challenges that global e-commerce brands face?

Nathan Moran: There are several, but a few key challenges stand out:

  1. Data Silos: Information often gets trapped in separate systems, making it hard to consolidate insights.
  2. Data Quality: Inconsistent or incomplete data can severely impact decision-making.
  3. Scalability: As brands grow, their data systems must evolve to handle increased volume and complexity.

Addressing these issues requires a structured data strategy that emphasizes integration and data hygiene.

Building a Scalable Data Strategy

Sreenath Reddy: That’s insightful. What steps would you recommend to brands looking to build a scalable data strategy?

Nathan Moran: The key steps include:

  1. Align with Business Goals: Start by identifying what success looks like for your business — whether it’s revenue growth, customer retention, or improved marketing efficiency.
  2. Audit Your Current Data Systems: Understand what data you’re currently collecting, where gaps exist, and how to connect those systems.
  3. Create Data Governance Frameworks: Establish processes to maintain data accuracy, security, and compliance.
  4. Invest in Automation Tools: Solutions like Intentwise help streamline data collection, reporting, and insights generation.
  5. Build a Data-Centric Culture: Ensure teams across the organization understand the value of data and how to use it effectively.

Role of Amazon Marketing Cloud in Data Strategy

Sreenath Reddy: Many e-commerce brands are leveraging Amazon Marketing Cloud (AMC) for insights. How does AMC fit into a brand’s data strategy?

Nathan Moran: AMC is incredibly powerful for brands that sell on Amazon. It provides first-party data insights that reveal customer journeys, purchase trends, and campaign performance. By integrating AMC data with broader business data, brands can create richer audience profiles, optimize ad spend, and improve customer engagement.

Key Metrics for E-commerce Brands

Sreenath Reddy: What metrics should e-commerce brands prioritize when formulating a data strategy?

Nathan Moran: While metrics will vary by business model, some key indicators include:

  • Customer Lifetime Value (CLV): Helps brands understand long-term revenue potential.
  • Conversion Rate Optimization (CRO): Tracks the efficiency of campaigns and site performance.
  • Inventory Turnover: Ensures stock levels are optimized without excess holding costs.
  • Return on Ad Spend (ROAS): Critical for evaluating marketing efficiency.

By combining these metrics with AMC insights, brands can make smarter, data-driven decisions.

Final Takeaways

Sreenath Reddy: Nathan, this has been a fantastic conversation. Any final tips for brands looking to improve their data strategy?

Nathan Moran: Absolutely. Start small, but start strategically. Identify the most impactful data sources for your business, integrate those insights into decision-making processes, and gradually expand. A well-executed data strategy can drive remarkable growth.

Sreenath Reddy: Great advice. Nathan, thanks so much for sharing your expertise.

Nathan Moran: My pleasure, Sreenath. Thanks for having me!

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