Stop Guessing, Start Growing: How DataHawk Turns Amazon and Walmart Data Into Profitable Growth

The Marketplace Data Problem Every Ecommerce Brand Faces

You're selling on Amazon and Walmart. You know there's data that could help you grow—sales trends, competitor insights, ad performance, inventory levels. But that data lives in a dozen different places. Amazon Seller Central. Walmart Marketplace. Your advertising dashboards. Spreadsheets. Email reports. And by the time you've pulled it all together, the opportunity has passed.

Here's the reality: The average ecommerce brand spends 25+ hours per month just collecting and organizing marketplace data. That's time you could be spending on strategy, optimization, and growth. And the problem gets worse as you scale—more SKUs, more marketplaces, more complexity.

DataHawk was built specifically to solve this problem. It's a unified analytics platform that centralizes Amazon and Walmart data in one place, powered by AI to turn that data into actionable insights. Instead of spending hours pulling reports, you get automated analytics, competitive intelligence, and AI-powered recommendations that help you grow faster.

What DataHawk Actually Does (Beyond the Marketing)

DataHawk is a unified marketplace analytics platform that helps brands and agencies centralize Amazon and Walmart data to forecast sales, improve performance, and scale profitably. But calling it "analytics software" is like calling a Formula 1 car "transportation"—technically accurate but missing the bigger picture.

The Core Capabilities:

• Unified Marketplace Analytics: Monitor sales, ads, SEO, and inventory across Amazon and Walmart in one centralized dashboard
• Automated Data Collection: Stop manual data exports and spreadsheets—DataHawk automatically collects and organizes your marketplace data
• AI-Powered Productivity: Get AI insights and recommendations that help you optimize performance, detect opportunities, and prevent problems before they impact revenue
• Competitive Intelligence: Track competitor performance, pricing strategies, and market trends to stay ahead
• Advertising Analytics: Unify marketplace ad data, layer in organic metrics, get AI insights, and optimize ROAS across platforms
• Composable Analytics & API: Connect DataHawk to your existing BI tools (Snowflake, Power BI, Looker Studio, Google Sheets) for custom reporting and analysis
• SKU-Level Profitability: Track profitability at the SKU level, detect KPI shifts, and connect BI tools for forecasting

Think of DataHawk as the command center for your marketplace operations—the place where all your data lives, where insights are generated automatically, and where you make decisions that drive growth.

The Results That Actually Matter

DataHawk users report impressive results:

• 130% average revenue lift in the first 6 months thanks to improved organic ranking and better use of advertising
• 31% average RoAS boost in the first 12 months thanks to improved ad visibility and audience optimization
• 25 hours saved per month thanks to automated data management and analytics and the ability to act faster

These aren't theoretical numbers—they're based on actual performance data from 1,200+ leading brands and agencies using DataHawk to grow their marketplace businesses.

The Three Features That Actually Drive Growth

1. Automated Data Collection: Stop the Spreadsheet Chaos

Most ecommerce teams spend hours every week pulling data from Amazon Seller Central, Walmart Marketplace, advertising dashboards, and other sources. Then they spend more hours organizing that data into spreadsheets, trying to make sense of it all.

DataHawk eliminates this completely by automatically collecting and organizing your marketplace data:

• Daily SKU-level analytics from Amazon (via official Amazon partner integrations)
• Sales, ads, SEO, and inventory data from Walmart (via approved Walmart Marketplace solution)
• Ad metrics and profitability signals
• Competitive intelligence and market trends

What this means practically: Instead of spending 25+ hours per month on data collection and organization, you get automated reports and dashboards that update daily. You can focus on strategy and optimization instead of data entry.

2. AI-Powered Productivity: Insights That Actually Help

Data is useless if you don't know what to do with it. DataHawk's AI-powered features analyze your data and provide actionable insights:

• AI Alerts: Get notified when KPIs shift, opportunities arise, or problems are detected
• Performance Recommendations: AI analyzes your data and suggests optimizations for ads, listings, and inventory
• Trend Detection: Identify emerging trends, competitor moves, and market opportunities before they become obvious
• Anomaly Detection: Spot unusual patterns that could indicate problems or opportunities

What this means practically: Instead of manually analyzing spreadsheets to find insights, DataHawk's AI does the analysis for you and tells you exactly what to focus on. You get the insights of a data analyst without hiring one.

3. Unified Advertising Analytics: Optimize ROAS Across Platforms

Managing Amazon and Walmart advertising separately is inefficient. You can't see the full picture of how your ad spend is performing across platforms, and you miss opportunities to optimize based on cross-platform insights.

DataHawk unifies your marketplace ad data:

• View Amazon and Walmart ad performance in one dashboard
• Layer in organic metrics to see the full picture of traffic and conversions
• Get AI insights on ad optimization opportunities
• Track ROAS across platforms and campaigns

What this means practically: You can see which ad strategies work across both platforms, optimize spend based on cross-platform insights, and achieve the 31% average RoAS boost that DataHawk users report.

Who Actually Benefits from DataHawk

DataHawk is ideal for:

• Ecommerce brands selling on Amazon and Walmart who need unified analytics and insights
• Agencies managing multiple client accounts who need multi-account dashboards, white-label reports, and role-based access
• Enterprise sellers who need SKU-level profitability tracking, KPI shift detection, and BI tool integrations for forecasting
• Advertising teams who need to unify marketplace ad data, optimize ROAS, and get AI insights on ad performance
• Operations teams who need sales estimates to optimize inventory, benchmark competitors, and plan growth
• Any marketplace seller spending too much time on data collection and not enough on optimization and growth

Use Cases That Drive Real Results

Agency Analytics

If you're managing multiple client accounts, DataHawk provides multi-account dashboards, white-label reports, AI alerts, and role-based access. You can manage all your clients' marketplace data in one place while providing them with branded reports and insights.

Enterprise Analytics

For large sellers, DataHawk offers SKU-level profitability tracking, KPI shift detection, and BI tool integrations (Snowflake, Power BI, Looker Studio, Google Sheets) for forecasting and advanced analysis. Connect DataHawk to your existing data infrastructure for custom reporting.

Advertising Analytics

Unify your Amazon and Walmart ad data, layer in organic metrics, get AI insights, and optimize ROAS. See the full picture of how your advertising is performing across platforms and get recommendations for improvement.

Sales Estimates

Forecast sales to optimize inventory, benchmark competitors, and plan growth. Use DataHawk's sales estimates to make data-driven decisions about inventory levels, product launches, and expansion strategies.

The Integration Ecosystem

DataHawk doesn't exist in isolation—it connects to the tools you already use:

• BI Tools: Snowflake, Power BI, Looker Studio, Google Sheets
• Marketplace Integrations: Official Amazon partner integrations, approved Walmart Marketplace solution
• API Access: Composable analytics & API for custom integrations and reporting

This means you can use DataHawk as your central data hub while still leveraging your existing BI infrastructure and tools.

Getting Started: What You Need to Know

DataHawk offers personalized demos to show you how the platform can help achieve your specific goals. The platform is designed to work with your existing marketplace accounts and data infrastructure.

The typical implementation process:

• Week 1: Connect your Amazon and Walmart accounts, configure data collection, and set up initial dashboards
• Week 2-3: Review automated reports, explore AI insights, and customize dashboards for your needs
• Month 2: Integrate with BI tools if needed, set up custom alerts, and optimize based on insights
• Ongoing: Use AI insights to drive optimization, track performance improvements, and scale your marketplace operations

The platform includes documentation, training resources, and support to help you get the most value from your marketplace data.

The Bottom Line

If you're selling on Amazon and Walmart and spending significant time collecting and analyzing marketplace data, DataHawk can likely save you time and help you grow faster. The platform addresses the real challenges of marketplace operations: data fragmentation, manual analysis, and the need for actionable insights.

With 1,200+ leading brands and agencies using DataHawk, and results like 130% revenue lift and 31% RoAS boost, the platform has proven itself as a valuable tool for marketplace growth. The question isn't whether marketplace analytics can help your business—it's whether you can afford to keep doing things the old way.

Ready to turn your marketplace data into profitable growth? Book a personalized demo and see how DataHawk can help you achieve your goals.