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DataHawk

DataHawk review

One platform for your Amazon and Walmart numbers — with AI that explains what changed.

By Ciroapp Editorial Team · Updated Sep 17, 2026
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At a glance

Quick overview for DataHawk: rating, pricing summary, key features, and highlights.
Vendor page checked Oct 13, 2026

Ciroapp score

3.7/ 5

DataHawk pulls Amazon and Walmart sales, ads, SEO, and inventory into one SKU-level dashboard, with AI that flags anomalies and points to root causes. Data ownership and BI integrations are real strengths, but pricing stays hidden behind annual, demo-only quotes and the headline AI agent is still in beta. Overall, it looks like a strong pick for teams and agencies, provided you're comfortable committing before you see a price tag.

Pros

  • Pros:Unifies Amazon and Walmart data — sales, ads, SEO, and inventory — into a single SKU-level dashboard, eliminating manual stitching of exports across channels
  • Pros:AI monitors KPIs daily, detects anomalies, and recommends actions tied to root causes rather than just flagging symptoms, with the Sherlock AI agent for diagnosing performance changes
  • Pros:Strong data ownership stance — you can access and export your operational data anytime with no lock-in, and marketplace data flows into Snowflake, Power BI, Looker Studio, and Google Sheets via native integrations and API access

Cons

  • Cons:No published pricing — plans are custom annual quotes requiring a sales demo, with no free plan, free trial, or money-back guarantee advertised, and usage limits and cancellation terms not listed upfront
  • Cons:Onboarding is demo-led rather than self-serve, which slows adoption for solo sellers or small teams that want instant sign-up and go
  • Cons:Sherlock, the AI agent for diagnosing performance changes, is still in beta with waitlist access, so the headline AI automation isn't fully launched
Best for
  • Enterprise brands selling on Amazon or Walmart that need one source of truth
  • Agencies managing multiple marketplace client accounts
  • Teams focused on ad performance and ROAS across marketplaces
This section is a summary. Detailed sections about features, use cases, pricing, and reviews follow below.

What is DataHawk?

Amazon and Walmart data lives in different places. Sales here, ad spend there, inventory somewhere else — and no clear answer when performance dips. DataHawk pulls it all into one platform.

You get daily SKU-level tracking, automated alerts when metrics shift, and AI insights that point to what to fix next.

DataHawk is a marketplace analytics platform that unifies Amazon, Walmart, and other marketplace data into executive-ready dashboards. It tracks sales, ads, SEO, and inventory at the SKU level, with AI that detects anomalies and suggests next steps. It's built for enterprise sellers and agencies managing multiple accounts, backed by an ecommerce and data expert team in Europe and the US.

Should you choose DataHawk?

Quick buyer guidance before you compare plans or click through.

Choose it if

  • Sellers who want daily automated alerts when key metrics shift
  • Brands tired of manually combining Amazon and Walmart reports
  • Companies that need historical and enriched marketplace data to track trends
  • Teams that want AI help diagnosing why performance changed
  • Organizations that need role-based access and white-label reporting

Skip it if

  • Budget-conscious buyers who want transparent self-serve pricing — the site routes you to book a demo, so costs require a sales conversation
  • Small sellers focused on channels beyond Amazon and Walmart; the platform's visible marketplace coverage centers on those two
  • Teams expecting fully launched AI automation today — Sherlock, the AI agent, is still in beta with waitlist access
  • Solo sellers who want instant sign-up and go; onboarding appears demo-led and oriented toward larger operations

Next steps before buying

  1. 1Book the demo to see actual dashboards before committing to anything
  2. 2Confirm your marketplaces and ad accounts are supported on the Amazon and Walmart analytics pages
  3. 3List the BI tools your team uses and verify fit — Snowflake, Power BI, Looker Studio, and Google Sheets are advertised
  4. 4Ask about Sherlock's beta status and any trial or pilot terms during your demo call

Ease of use

DataHawk leans on guided onboarding rather than instant self-serve sign-up. The main entry point is booking a demo, and the company emphasizes expert support from its team in Europe and the US. Dashboards are described as intuitive, and AI handles data collection and hygiene, which should cut manual setup work — but expect a sales conversation before you see the product.

DataHawk Key Features

✨ All your marketplace data in one place

Your Amazon and Walmart numbers no longer live in five different exports. DataHawk pulls sales, ads, SEO, and inventory into one dashboard, tracked daily at the SKU level. You get executive-ready views without manual stitching.

When performance dips, you see it fast — and you know where to look first.

🤖 AI that works in the background

DataHawk's AI handles the busywork so you don't have to. It runs across your marketplace data and steps in when something needs attention. Here's what it does:

  • Automates data collection and hygiene
  • Detects anomalies and opportunities in vast data volumes
  • Recommends actions and guides you to root causes

✨ Deeper data for smarter trend spotting

Most tools show you today's numbers. DataHawk gives you access to enriched and historical data, so you can track trends over time, spot threats early, and seize opportunities faster. Because the platform monitors your KPIs daily, shifts get flagged automatically instead of waiting for someone to notice.

🔌 Your data stays yours

DataHawk isn't a black box. You can access and export your operational data anytime, with no lock-in. And if your team lives in BI tools, marketplace data flows into Snowflake, Power BI, Looker Studio, and Google Sheets.

API access and hosted infrastructure options round out the flexibility for bigger data stacks.

✨ Real humans behind the platform

Software only gets you so far. DataHawk's team of ecommerce and data experts in Europe and the US provides operational support and best practices. Onboarding is hands-on, training is tailored to your team, and a dedicated customer success team runs regular check-ins — so you're never troubleshooting alone.

Use Cases

👥 Agency Analytics

You run client accounts across Amazon and Walmart. DataHawk puts them all in one dashboard. White-label reports keep your brand front and center, and role-based access lets each team member see only what they need.

Expected outcome: more clients served, less time in spreadsheets.

📊 Enterprise Analytics

You manage hundreds of SKUs and need answers fast. DataHawk tracks profitability at the SKU level and flags KPI shifts with daily alerts. Connect Snowflake or Power BI for forecasting.

Expected outcome: one source of truth your whole team trusts.

🎯 Advertising Analytics

Your ad spend lives on Amazon, your sales data lives elsewhere. DataHawk unifies marketplace ad data with organic metrics, so you can see what's driving ROAS. AI insights point to what to fix next.

Expected outcome: smarter budgets and clear answers when performance dips.

📦 Sales Estimates

Inventory planning is guesswork without good forecasts. DataHawk's sales estimates help you forecast demand, benchmark competitors, and plan growth with real numbers. Expected outcome: fewer stock surprises and clearer growth plans.

Tip: Bring your top SKUs to the demo to see how the forecasts work.

DataHawk pricing

DataHawk doesn't publish prices: pricing is quote-based (contact sales).

DataHawk's pricing page

DataHawk pricing page screenshotView pricing page screenshot
PlanBilled monthlyBilled annuallyIncludes
Custom Plans
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See vendor page
  • Unified Amazon, Walmart, and marketplace data (sales, ads, SEO, inventory)
  • Executive-ready dashboards with daily performance alerts
  • AI-guided insights that detect issues and recommend actions
  • Onboarding with fast go-live and tailored training
  • Dedicated customer success team and BI integrations (Snowflake, Power BI, Looker Studio, Google Sheets)

Price history

Tracking prices since Sep 9, 2026. No price change detected yet.

Pricing range: Custom pricing (annual plans)

Pricing types: Yearly subscription

Pricing notes

DataHawk offers custom pricing with annual plans tailored to your business. There's no public price list — you book a demo and get a quote built around your marketplaces and data needs.

DataHawk uses custom pricing — every plan is an annual agreement built around your business, and you get your exact quote by booking a demo.

Here's what that means for you and what each plan includes.

Custom Plans

Price: Custom quote, with annual plans tailored to your business Best For: Brands, enterprise sellers, and agencies selling on Amazon, Walmart, and other marketplaces Other Features:

  • Unified Amazon, Walmart, and marketplace data — sales, ads, SEO, and inventory in one platform
  • Executive-ready dashboards with daily performance alerts
  • AI-guided insights that detect issues and recommend next steps
  • Onboarding with a fast go-live in weeks and training tailored to your team
  • A dedicated customer success team with regular check-ins and on-demand trainings

There's no self-serve checkout here, and that's by design. You talk with the DataHawk team, they scope your marketplaces and data needs, and they price the plan to match. It fits growing brands, larger sellers, and agencies running multiple accounts. If you want a cheap monthly tool with a public price tag, this isn't it — but if you value hands-on support and custom dashboards, you're in the right place. 💡

Under the hood, your plan also connects with the BI tools you already use — Snowflake, Power BI, Looker Studio, and Google Sheets. Hosted infrastructure options and API access are part of the platform too. That flexibility matters if you're plugging marketplace data into a wider reporting stack.

One more thing to know: professional services (custom dashboards, dedicated project management) are available as a separate paid add-on. So budget for that only if you need the extra help.

DataHawk doesn't advertise a free plan or free trial, and there's no money-back guarantee shown on the pricing page. The demo is your real test drive — you'll see the platform and get firm numbers. Before signing an annual agreement, ask the team to confirm cancellation terms and usage limits so nothing catches you off guard.

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Why use DataHawk?

Most analytics tools show you numbers. DataHawk tries to tell you what to do about them. Based on what the company publishes, here's where it stands out:

  • Everything in one place. Sales, ads, SEO, and inventory data across Amazon and Walmart land in a single dashboard, so you stop stitching exports together by hand.
  • AI that flags problems early. The platform monitors your data, detects anomalies and opportunities, and recommends actions — including root causes, not just symptoms.
  • Data you actually own. DataHawk positions itself against "black box" tools. You can access and export your operational data anytime, with no lock-in.
  • BI-friendly by design. Advertised integrations include Snowflake, Power BI, Looker Studio, and Google Sheets, so marketplace data can flow into the tools your team already uses.
  • Built for teams and agencies. Multi-account dashboards, white-label reports, and role-based access support organizations where more than one person needs answers.
  • Real human support. A dedicated team of ecommerce and data experts in Europe and the US provides operational support and best practices.
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DataHawk FAQ

Can I export my data or take it with me if I leave?

Yes. DataHawk positions itself against 'black box' tools, so you can access and export your operational data anytime. The company advertises no lock-in, which softens the risk of an annual commitment.

Does DataHawk connect to tools like Snowflake or Power BI?

It does. Advertised integrations include Snowflake, Power BI, Looker Studio, and Google Sheets. The platform also offers API access, hosted infrastructure options, and MCP, which connects AI tools to your marketplace data.

Where is DataHawk's support team based, and what's included?

Support comes from ecommerce and data experts in Europe and the US. Plans include a dedicated customer success team, regular check-ins, and on-demand trainings. There's no published response-time SLA, so ask about one during your demo.

Is DataHawk priced per seat or by usage?

Neither model is published. You get a custom annual quote scoped to your marketplaces and data needs. Since usage limits aren't listed, ask sales to confirm them — plus cancellation terms — before you sign.

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