DataHawk is a powerful eCommerce analytics platform with AI tools that automate processes, provide actionable insights, and enhance productivity. Trusted by customers, it offers enriched data, expert support, and industry recognition for maximizing marketplace revenue

FEATURES
Feature 1: eCommerce Analytics Made Easy
Feature 2: AI-Powered Productivity

What is DataHawk?

DataHawk is an eCommerce analytics platform that aims to make eCommerce optimization easy and efficient. With DataHawk, users can analyze their performance, gain competitive intelligence, and optimize their strategies to maximize profitability and revenue across all channels. The platform offers a comprehensive and unified approach to eCommerce analytics, powered by AI to provide clear and actionable insights.

One of the key features of DataHawk is its AI-powered productivity tools, which automate data collection, analysis, and decision-making processes. This helps users save time and focus on more critical tasks. DataHawk's AI also alerts users to anomalies and opportunities in their eCommerce data, guides them on recommended actions, and augments their productivity through tools like product page optimization.

DataHawk provides users with more coverage, data, flexibility, control, support, and power compared to other eCommerce analytics platforms. With access to enriched and historical data, customizable analytics tools, and expert support, DataHawk helps users take their eCommerce performance to the next level. The platform is trusted by a wide range of customers and has received industry recognition for its effectiveness in optimizing marketplace revenue and increasing profitability.

DataHawk Features

Feature 1: eCommerce Analytics Made Easy

DataHawk provides a unified analytics platform powered by AI to help optimize eCommerce operations from A-to-Z. This feature gathers all marketplace data in a single platform and transforms it into actionable insights to maximize profitability and revenue across all channels.
  • DataHawk streamlines and unifies the platform to give end-to-end eCommerce visibility, optimizing across multiple marketplaces.
  • Users can work with the most comprehensive marketplace data possible in one place, including access to enriched and historical data for tracking trends and seizing opportunities.
  • The platform is flexible and customizable, allowing users to address specific business issues or emerging use cases while using preferred data and analytics tools.
  • DataHawk gives users full control over their operational data, allowing access and exportation whenever and wherever without any lock-in.
  • The platform is supported by eCommerce and data experts who understand the specific challenges users face, while also utilizing machine learning and AI to guide decision-making and automate actions.

Feature 2: AI-Powered Productivity

DataHawk's AI powers productivity across the board, automating data collection, analysis, and insights for eCommerce operations. This feature connects, alerts, guides, and augments user productivity to optimize performance effectively.
  • DataHawk's AI automates data collection and hygiene, freeing users to focus on more critical tasks while ensuring data accuracy and completeness.
  • The AI analyzes vast volumes of eCommerce data to detect anomalies and opportunities, providing users with informed alerts and insights.
  • With AI-generated recommended actions and guidance, users can make data-driven decisions and take appropriate steps to improve performance.
  • The AI augments productivity by embedding tools for key processes like product page optimization, enhancing efficiency and effectiveness.

How to Use DataHawk?

Step 1: Sign In to DataHawk
  • Open your web browser and go to DataHawk's official website.
  • Click on the 'Sign in' button located at the top right corner of the homepage.
  • Enter your credentials (email and password) to log into your DataHawk account.
Step 2: Navigate to the Dashboard
  • Once signed in, you will be automatically directed to the DataHawk dashboard.
  • Familiarize yourself with the layout and various sections available on the dashboard.
Step 3: Set Up Automated Data Collection
  • Click on 'Platform' in the main menu and select 'Automated Data Collection'.
  • Configure the data sources you want to connect, such as your eCommerce store, advertising platforms, and other relevant services.
  • Follow the prompts to authorize and link these data sources to DataHawk.
  • Once linked, DataHawk will start collecting data automatically.
Step 4: Explore and Customize Analytics
  • Navigate to 'Analyze' in the main menu to access your analytics overview.
  • Use DataHawk's composable analytics tools to create custom reports and dashboards tailored to your specific needs.
  • Leverage DataHawk's AI-powered recommendations for insights on optimizing your eCommerce performance.
Step 5: Optimize eCommerce Performance
  • Go to 'Optimize' in the main menu to explore strategies for growing sales and maximizing profitability.
  • Review insights on sales trends, marketing effectiveness, and product performance.
  • Apply the insights and recommendations provided by DataHawk to make informed decisions aimed at enhancing your eCommerce operations.
Step 6: Boost Conversion Rates
  • Click on 'Convert' in the main menu to explore ways to win the buy box and boost conversion rates.
  • Analyze your product listings and pricing strategies based on DataHawk's competitive intelligence.
  • Implement changes and monitor the impact using DataHawk's analytics.
Step 7: Protect Brand Image and Increase Lifetime Value
  • Navigate to 'Retain' in the main menu to explore methods to protect your brand image and increase customer lifetime value.
  • Use DataHawk's tools to monitor customer reviews, feedback, and brand mentions.
  • Deploy strategies to address any negative feedback and enhance customer satisfaction.
Step 8: Generate and Enhance Traffic
  • Go to 'Acquire' in the main menu to find ways to generate organic traffic and enhance paid traffic.
  • Utilize DataHawk's SEO and advertising optimization tools to improve your online visibility.
  • Track the performance of your campaigns and refine your strategy using DataHawk's analytics.
Step 9: Export and Integrate Data
  • From 'Platform', select 'Explore all Integrations' to view available integrations like Snowflake, Power BI, Looker Studio, and Google Sheets.
  • Choose the integration you need and follow the setup process to link DataHawk with your preferred data and analytics tools.
  • Access and export your data as needed without any lock-in, giving you full control over your operational data.
Step 10: Seek Professional Support
  • For complex queries or tailored solutions, go to the 'Services' section in the main menu.
  • Select 'Professional Services' to explore the options available.
  • Contact DataHawk's team of eCommerce and data experts for dedicated support and best practices.

DataHawk Frequently Asked Questions

What makes DataHawk's eCommerce analytics platform unique?

How does DataHawk use AI to enhance productivity?

What are some of the benefits of using DataHawk for eCommerce optimization?

How does DataHawk support its customers?

Can DataHawk help businesses increase profitability and maximize revenue?