Quick Start Guide
A step-by-step walkthrough from first sign-in to your first report. Takes about 30 minutes of active setup time, plus a 24-hour data sync.
Use this walkthrough to move from your first sign-in to connected data sources and dashboard access. Most steps take about 30 minutes of active work, followed by an initial data sync.
Step 1 — Sign In
Open the invitation email you received from DataHawk and click the sign-in link. This will take you directly to the DataHawk platform.
If you haven't received an invitation email, check your spam folder. If you still cannot find it, contact your DataHawk account manager.
First time here? Take a moment to read Before Starting to make sure you have everything you need before proceeding.
Step 2 — Get Familiar with the Platform
Once signed in, you'll land on the DataHawk web app. Here's a quick orientation:
- Workspace: Your data is organized into workspaces. A workspace is an isolated environment for a brand, client, or business segment. If you manage multiple brands or clients, each one can have its own workspace with its own data and configuration.
- Sources: This is where you connect your Amazon and Walmart accounts. No data flows into DataHawk until you add a source.
- Apps: DataHawk's built-in tools (Sherlock, Alerts, and AI Copywriter) live here. You can explore these once your data is connected.
- Destinations: If you want to access your data in Power BI, Google Sheets, Snowflake, or another external tool, you set that up here.
Step 3 — Connect Your Data Sources
This is the most important step. Go to Sources in the left sidebar and connect at least one account or trackin sources that apply to your business.
Amazon Seller Central
Collect Amazon seller sales, fees, traffic, inventory, and listing data for reporting and analysis.
Amazon Vendor Central
Collect Amazon vendor sales, margins, inventory, traffic, and demand forecasts for performance reporting.
Amazon Advertising
Centralize campaign, ad group, keyword, targeting, and product-level ad performance for dashboards and historical analysis.
Walmart Marketplace
Collect US Walmart seller orders, listings, pricing, availability, and fulfillment data for Marketplace reporting.
Walmart Connect
Bring Walmart ad performance into DataHawk and combine it with Marketplace sales and search metrics.
Product Tracking
Track daily Amazon and Walmart product-page snapshots, including price, ratings, rank, availability, and Buy Box signals.
Keyword Tracking
Monitor daily search visibility, organic rank movements, and keyword-level product results across Amazon and Walmart.
Category Tracking
Monitor the top 100 products in an Amazon category each day to follow competitor movement and sales-rank trends.
You don't need to add all of these. Start with the accounts and tracking sources that are relevant to your business.
Once you have connected a standard source, DataHawk will start retrieving your data. This takes approximately 24 hours. You will not see data in your reports until this initial sync is complete.
Step 4 — Upload Your Cost of Goods (Optional)
If you want to use DataHawk's profit reporting (P&L, Gross Profit, Net Profit), you need to provide your Cost of Goods Sold (COGS) data. Amazon doesn't supply this, so DataHawk cannot calculate profit without it.
You can upload a COGS file at any time. See Upload Amazon Product Expenses for the format and instructions.
If you skip this step now, your revenue and traffic data will still be available. Only profit metrics will be missing.
Step 5 — Connect to your tool of choice
If you want to access your data in an external tool, Power BI, Google Sheets, Snowflake, BigQuery, or Excel, you need to add a Destination.
Go to Destinations in the left sidebar and click Add Destination. DataHawk will build a database for you, pre-filled with your data, that you can connect to your tool of choice.
See Connect to your tools for a full explanation of how this works, and the individual destination pages for step-by-step connection guides.
Step 6 — Access Your Dashboards
Once your data has loaded (after the 24-hour sync), you're ready to start analyzing.
Power BI dashboards
Download the DataHawk dashboard templates and connect them to your destination database. Available templates include:
- Seller Analytics Dashboard
- Vendor Analytics Dashboard
- Seller Vendor Analytics Dashboard
- Market Intelligence Dashboard
- Advertising Dashboard
- Product Dashboard
- Ads DSP Dashboard
See Download Power BI Templates to get started.
Looker Studio
A Looker Studio template is also available. See Looker Studio Templates.
Step 7 — Explore the Modules
With data flowing, you can start using DataHawk's built-in tools:
| Module | What it does | Best for |
|---|---|---|
| Alerts | Notifies you when something changes on your tracked products | Monitoring & reacting quickly |
| AI Copywriter | Generates and optimizes Amazon listing content using AI | Writing and improving product listings |
| 🆕 Sherlock | Diagnoses why your performance changed and guides you to root causes | Understanding what happened and what to do |
| 🆕 MCP | Connects DataHawk to your favorite AI assistant (Claude, ChatGPT, n8n, and more) | Asking questions and automating workflows in the tools you already use |
Where to Go Next
Once you're set up, these are the most useful places to continue learning:
Seller Analytics Dashboard User Guide
Deep dive into the Seller dashboard.
Vendor Analytics Dashboard User Guide
Deep dive into the Vendor dashboard.
Knowledge hub
How DataHawk processes and models your Amazon data.
Troubleshooting
If something doesn't look right.
If you get stuck at any point, reach out via Get in Touch.