📚 This page covers all five DataHawk modules. All modules are Amazon-focused unless otherwise noted.
DataHawk includes five modules that sit on top of your data and help you act on it. They serve different purposes — this page helps you understand what each one does and when to use it.
| Module | What it does | Best for |
|---|---|---|
| Alerts | Notifies you when something changes on your tracked products | Monitoring & reacting quickly |
| Insights | Surfaces patterns and anomalies in your data automatically | Spotting trends without manual analysis |
| AI Copywriter | Generates and optimises 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 favourite AI assistant (Claude, ChatGPT, n8n, and more) | Asking questions and automating workflows in the tools you already use |
Alerts monitors your tracked products around the clock and sends you a notification when a condition you care about is met.
You define the rules: for example, "notify me when the Buy Box price of ASIN X drops below £15" or "alert me when my Best Seller Rank drops by more than 20%". DataHawk checks the conditions daily and delivers alerts to your inbox or dashboard.
Use Alerts when you want to:
Alerts is reactive — it tells you that something changed. To understand why it changed, use Sherlock.
Insights analyses your data automatically and surfaces observations you might not find on your own — without you having to build a query or set a rule in advance.
It looks across your product catalogue, sales trends, keyword positions, and advertising performance to highlight what’s moving, what’s stagnant, and where there may be an opportunity or a risk.
Use Insights when you want to: