DataHawk

What is DataHawk

DataHawk is a powerful analytics platform designed for eCommerce businesses that sell on major online marketplaces. Its main purpose is to bring together all your data from different channels like Amazon, Walmart, and Shopify into one single place. This allows sellers, brands, and agencies to monitor sales, advertising performance, SEO rankings, and inventory levels without switching between multiple tools. The platform uses Artificial Intelligence (AI) to analyze this data and provide actionable insights, helping users to identify growth opportunities and improve profitability. Founded by Isaac Duplan, Othmane Sghir, and Sylvain Utard in 2017, DataHawk is headquartered in Paris, France, and serves a global customer base, including many leading brands and agencies.

DataHawk Features

DataHawk provides a complete set of tools to manage and grow an eCommerce business. Here are some of its key features:

• Unified Marketplace Analytics: Connect your Amazon, Walmart, and other marketplace accounts to see all your key performance indicators (KPIs) in one unified dashboard. This saves time and helps you make better decisions.
• AI-Powered Insights: The platform's AI engine automatically monitors your data to detect anomalies, find opportunities, and recommend actions. For example, it can alert you to a sudden drop in sales or a new keyword opportunity.
• Automated Reporting: Create and schedule custom reports that are sent to your email daily, weekly, or monthly. This keeps your team informed about business performance without manual work.
• Sales & Profitability Tracking: Monitor your revenue, profit margins, and sales trends across all products and marketplaces. Understand which products are most profitable and where to focus your efforts.
• Advertising Optimization: Analyze your advertising campaigns to understand your Return on Ad Spend (RoAS). The tool helps you optimize bids and target the right audiences to improve ad performance.
• SEO & Keyword Tracking: Track your product rankings for important keywords on Amazon and Walmart. Discover new keywords your customers are using to find products like yours.
• Inventory Management Insights: Get data-driven insights to manage your stock levels effectively. This helps you avoid running out of stock on popular items and losing sales.
• Market Intelligence: Analyze competitors and market trends to stay ahead. Understand their pricing strategies, top-selling products, and customer reviews.

DataHawk Pricing Plans

DataHawk offers several pricing plans designed to fit the needs of different types of businesses. The plans are structured in tiers, with each tier providing more features, data access, and support.

• Starter Plan: This plan is typically for small sellers or new brands just beginning to use analytics. It includes access to core features for one or two marketplaces, with limits on the number of products and keywords you can track.
• Professional Plan: Aimed at growing businesses and small agencies, this plan offers expanded capabilities. It usually includes support for more marketplaces, a higher volume of data tracking, more user accounts, and access to more advanced analytics modules.
• Enterprise Plan: This is the most comprehensive plan, designed for large brands and agencies that manage complex operations across multiple channels. It provides full access to all features, unlimited data tracking, API access, custom integrations, and dedicated support from eCommerce experts.

DataHawk Free Plan

DataHawk does not offer a permanent free plan. However, the company provides a free trial or a personalized demo of its platform. During a demo, their team will walk you through the software and show you how it can help your specific business. A trial period allows you to connect your accounts and test the platform's features with your own data for a limited time, helping you evaluate its value before committing to a paid subscription.

How to use DataHawk

Getting started with DataHawk is a straightforward process designed to give you insights quickly.

1. Sign Up and Connect Accounts: First, create an account with DataHawk. Then, you will be prompted to connect your seller accounts, such as Amazon Seller Central and Walmart Seller Center.
2. Data Synchronization: The platform will automatically pull and organize your historical and current data. This includes sales, advertising, inventory, and product information. This process may take some time depending on the volume of your data.
3. Explore the Dashboard: Once the data is synced, you can start exploring your unified dashboard. This central view gives you a high-level overview of your business health across all connected marketplaces.
4. Dive into Specific Modules: Use the navigation menu to access different modules. For example, go to the 'SEO' section to check your keyword rankings or the 'Advertising' section to analyze your campaign performance.
5. Set Up Reports and Alerts: Configure automated reports to be sent to your inbox. You can also set up custom alerts to be notified of important events, like a negative review or a sudden change in sales velocity.
6. Act on Insights: Use the AI-powered recommendations to make informed decisions. For example, if the tool suggests a product listing needs optimization, you can use its guidance to improve your title and bullet points.

Pros and Cons of DataHawk

Pros:

• All-in-One Platform: It combines data from multiple marketplaces, eliminating the need for several separate tools.
• Powerful AI Insights: The AI engine helps uncover hidden opportunities and potential issues that are difficult to spot manually.
• Time-Saving Automation: Automated reporting and alerts save many hours of manual data collection and analysis each month.
• Deep Data Analytics: Provides very detailed and historical data, which is great for identifying long-term trends.
• Expert Support: Access to a team of eCommerce and data experts who can provide guidance and support.

Cons:

• Learning Curve: The platform is very comprehensive, which can be overwhelming for beginners who are new to data analytics.
• Pricing: The cost may be high for individual sellers or very small businesses with limited budgets.
• Marketplace Focus: While it supports major marketplaces, its primary focus is on Amazon and Walmart, with less extensive support for smaller platforms.

DataHawk integrations

DataHawk is built to connect with the largest eCommerce ecosystems to pull data into its unified platform. Key integrations are with the data sources themselves.

• Amazon Seller Central & Advertising: Connects directly to pull sales, inventory, FBA, and advertising data.
• Walmart Seller Center & Advertising: Integrates to fetch sales, inventory, and advertising performance metrics.
• Shopify: Connects to your Shopify store to unify your direct-to-consumer sales data with your marketplace data.

Additionally, DataHawk provides data export capabilities and API access on its enterprise plans, allowing businesses to connect DataHawk data with their internal business intelligence (BI) tools like Tableau, Power BI, or Google Data Studio.

DataHawk Alternatives

Here are some popular alternatives to DataHawk, each with a slightly different focus:

• Helium 10: A very popular all-in-one tool suite for Amazon sellers. It is especially strong in product research, keyword research, and listing optimization. It is more focused on individual tools rather than a single unified dashboard.
• Jungle Scout: Another leading platform for Amazon sellers, well-known for its accurate sales estimation and product discovery features. It is a great choice for those starting their selling journey.
• SellerApp: An analytics platform that focuses heavily on Amazon. It offers tools for PPC optimization, keyword tracking, and product intelligence, similar to DataHawk but with a primary focus on the Amazon ecosystem.
• Perpetua: This tool specializes in eCommerce advertising optimization. While DataHawk offers ad analytics, Perpetua provides more advanced, AI-powered ad bidding and management across multiple marketplaces like Amazon, Walmart, and Instacart.

DataHawk API

Yes, DataHawk provides a powerful API for developers and enterprise clients. The API allows you to programmatically access the vast amount of eCommerce data collected and organized by the platform. This is useful for building custom applications, creating advanced internal dashboards, or integrating marketplace data into a central data warehouse.

To get access to the API and obtain an API key, you typically need to be on an Enterprise plan. You should contact the DataHawk sales or support team, and they will provide you with the necessary credentials and documentation. The developer documentation can be found on their website or provided upon request.

Here is a generic Python example of how you might make a request to their API:

import requests
import json

api_key = 'YOUR_API_KEY'
headers = {
    'Authorization': f'Bearer {api_key}',
    'Content-Type': 'application/json'
}

# Example: Get sales data for a specific ASIN
endpoint = 'https://api.datahawk.co/v1/analytics/sales'
params = {
    'marketplace': 'amazon.com',
    'asin': 'B08N5N482C',
    'start_date': '2024-01-01',
    'end_date': '2024-01-31'
}

response = requests.get(endpoint, headers=headers, params=params)

if response.status_code == 200:
    sales_data = response.json()
    print(json.dumps(sales_data, indent=2))
else:
    print(f'Error: {response.status_code}')
    print(response.text)

DataHawk Affiliate program

DataHawk does not publicly advertise a standard affiliate program with fixed commission rates. As an enterprise-focused B2B software company, they typically engage in partnerships and referral programs on a case-by-case basis. If you are an agency, consultant, or influencer in the eCommerce space and believe your audience would benefit from DataHawk, it is best to contact their partnership or sales team directly. You can inquire about becoming a referral partner, which may offer commissions or other benefits for bringing new customers to their platform.