How to Build Custom Amazon Dashboards

Seller Central's built-in reports are rigid. You get what Amazon gives you. Custom dashboards flip that script. You define the metrics, the layout, the refresh rate. This guide walks you through four approaches to custom Amazon dashboards, from free to enterprise, with step-by-step setup instructions for each level.

We've helped hundreds of sellers build custom analytics. The pattern is clear: sellers who invest 2-3 hours building custom dashboards save 4-6 hours weekly on manual reporting. More importantly, they catch problems faster and make better decisions.

Let's build your perfect dashboard setup, starting wherever you are today.

The Dashboard Maturity Model

Not every business needs the same analytics infrastructure. A $50K/month seller has different needs than a $5M aggregator. Here's how dashboard complexity maps to business stage:

Most sellers should skip Level 2 and 3 entirely. The time investment for spreadsheets and BI tools rarely pays off compared to specialized solutions. But let's cover each option so you can make an informed choice.

Level 1: Amazon's Free Custom Analytics

Amazon launched Custom Analytics in late 2025. It's free, built into Seller Central, and surprisingly capable for basic use cases¹.

Step-by-Step Setup

1. Access the Dashboard: Navigate to Reports → Business Reports → Custom Analytics in Seller Central
2. Choose a Template: Start with "Overall Business Performance" for a balanced view
3. Add Tiles: Click "Add Tile" and select metrics. Start with Units Sold, Revenue, and Sessions
4. Configure Visualization: Choose between line chart, bar chart, or KPI card for each tile
5. Set Date Range: Default to "Last 30 Days" with "Compare to Previous Period"
6. Save Dashboard: Name it clearly (e.g., "Daily Performance Overview")

Limitations You'll Hit

Within 2-3 weeks of using Amazon's Custom Analytics, most sellers hit these walls:

• No advertising data: can't see ACoS, ROAS, or TACoS alongside sales
• No COGS: Revenue without costs isn't profit visibility
• Single marketplace: US data only, no EU/UK consolidation
• Daily refresh: yesterday's data, not today's decisions

For sellers under $100K/month with minimal PPC, these limitations are acceptable. Above that threshold, they become expensive blind spots.

Level 2: Spreadsheet Dashboards (Skip This)

Some sellers try to build custom dashboards in Google Sheets or Excel by downloading reports and creating pivot tables. We don't recommend this approach.

The hours spent maintaining spreadsheets costs more than any analytics tool subscription. Skip this level unless you have zero budget and significant free time.

Level 3: BI Tools (Looker Studio, Tableau, Power BI)

For sellers with data engineering resources, connecting Amazon data to BI tools creates powerful visualization capabilities. But the setup is substantial.

What You Need

• Data warehouse: BigQuery, Snowflake, or Redshift ($100-500+/month)
• Data pipeline: Custom SP-API integration or ETL tool (weeks to build)
• BI tool access: Looker Studio (free), Tableau ($70+/user/month), Power BI ($10+/user/month)
• Technical expertise: SQL skills, data modeling knowledge

If you have a data team and need highly customized visualizations beyond what specialized tools offer, this path makes sense. For most sellers, it's overkill.

For detailed setup guides, see our articles on Amazon data to BigQuery, Looker Studio dashboards, and Tableau integration.

Level 4: Building in Nova's Custom Analytics

This is where most growth-stage sellers should start. Nova's Custom Analytics beta Combines the flexibility of BI tools with the simplicity of purpose-built software. No data engineering required.

Getting Started: The Smart Widget Library

Nova includes 25+ pre-built widgets covering the metrics Amazon sellers actually need. Your first dashboard can be live in under 10 minutes:

1. Open Custom Analytics: Access the beta dashboard builder
2. Browse Widget Library: see pre-configured widgets for P&L, advertising, inventory, and more
3. Drag widgets to canvas: Click and drag any widget onto your dashboard
4. Resize and arrange: Widgets snap to grid for clean layouts
5. Set global date range: all widgets respect your selected time period

Building Custom Widgets from Scratch

When pre-built widgets don't match your exact need, build custom ones:

Compare vs. Breakdown Modes

Two viewing modes unlock different insights:

• Compare Mode: see the same metric across different segments side-by-side (e.g., TACoS for Brand A vs. Brand B)
• Breakdown Mode: Drill into a single segment to see contributing factors (e.g., what's driving Brand A's TACoS?)

Switch between modes with one click. This flexibility is why custom dashboards outperform static reports.

Advanced: Adding Product Segmentation with Custom Breakdowns

Here's where Nova's custom analytics becomes truly powerful. Custom Breakdowns lets you create product segments that don't exist in Amazon's data model.

Why Default Amazon Categories Don't Work

Amazon categorizes products by what they are (Electronics, Home & Kitchen). You need to categorize by how they perform for your business:

• Hero Products vs. Long Tail: Different ad strategies, different expectations
• Growth Phase vs. Mature: High TACoS is acceptable for new products, not established ones
• High Margin vs. Volume Drivers: Different contribution to overall profitability
• Supplier A vs. Supplier B: track quality and margin by source

Amazon can't give you these segments. You build them with Custom Breakdowns.

Custom Breakdowns Tutorial: 4-Step Setup

Dashboard Templates by Business Type

Different businesses need different dashboard layouts. Here are recommended configurations:

FBA Seller Daily Dashboard

For individual sellers managing their own brand(s):

Agency Portfolio View

For agencies managing multiple client brands:

For detailed agency analytics guidance, see our agency analytics buyer's guide.

Multi-Marketplace Consolidation View

For sellers operating across US, EU, UK, and other regions:

For more on international analytics, see our multi-marketplace analytics guide.

Case Study: Building a Profitability Dashboard

Let's walk through a real example. A supplements brand with 85 SKUs needed to answer one question: "Which products should get more ad budget?"

Dashboard Configuration

They built a "Profitability Radar" dashboard with these components:

1. Widget 1 - Profit Contribution Chart: Bar chart showing each product's contribution to total profit (not revenue)
2. Widget 2 - TACoS vs. Margin Scatter: X-axis: TACoS, Y-axis: Net Margin. Products in top-left quadrant = winners
3. Widget 3 - Segment Summary Table: Products tagged by profitability tier, showing aggregate metrics per tier
4. Widget 4 - Budget Efficiency: Ad spend as % of profit generated, by product

Custom Breakdowns Structure

They created a "Profitability Tier" drawer with four tags:

• Stars: Net margin above 25%, TACoS below 15% (12 products)
• Potential: Net margin 15-25%, TACoS 15-25% (28 products)
• Questionable: Net margin 5-15%, TACoS above 25% (31 products)
• Dogs: Net margin below 5% or negative (14 products)

Results After 90 Days

Next Steps: Start Building

Custom dashboards aren't a "nice to have" anymore. They're the difference between reacting to problems and preventing them. Between guessing at ad allocation and knowing which products deserve budget.

Start with your most pressing question. "Which products are actually profitable?" "Where is my ad spend going?" "What's my TACoS by product lifecycle?" Build the dashboard that answers that one question first. Then iterate.

References

1. ¹ Amazon Seller Central Help. "Custom Analytics Dashboard." Amazon Seller Central
2. ² Practical Ecommerce. "A Data Studio Template to Automate Ecommerce KPIs." Practical Ecommerce
3. ³ Harvard Business Review. "Visualizations That Really Work." Harvard Business Review
4. ⁴ Marketplace Pulse. "Amazon Draws a Million New Sellers in 2024." Marketplace Pulse