How to Build a Multi-Client Amazon Ads Performance Scorecard

What You'll Need

• Amazon Ads Dashboard by Todoza – Unified cross-account and metrics dashboard for trend tracking.
• Amz Ad Waste Detector - Amazon Ads Analytics Module – Performance analysis and detailed metrics reporting.
• Amazon Negative Keyword Tool by Todoza – Identify underperforming search terms and optimize ad spend.
• Access to client-level Amazon Ads accounts and permission to export or receive campaign data.
• Spreadsheet software or business intelligence (BI) tools for custom scorecard display (optional).

Visualizing Cross-Client Amazon Ads Data

Bringing together data from each client's Amazon Ads account into a single dashboard accelerates cross-account benchmarking and trend discovery. Use platform-native imports or automated email ingestion to keep your scorecard refreshed without manual data pulls.

Step 1: Collect and Unify Amazon Ads Data Across Clients

Start by exporting standard reports from each client’s Amazon Ads account, focusing on Search Terms, campaign performance, and KPIs such as spend, impressions, sales, and ROAS. Aggregate data from each client account using exports or scheduled email reports. Tools that support multi-account data ingestion make this process far more efficient, especially if managing several regions or marketplaces. Use consistent file formats (such as CSV or XLSX) to simplify downstream analysis.

For a seamless workflow, the Amazon Ads Dashboard by Todoza allows you to upload and schedule daily imports from multiple Amazon accounts, unifying all metrics in one secure dashboard. This ensures your data collection process is repeatable and minimizes manual effort.

Step 2: Define Scorecard Metrics and Build Performance Templates

Establish the key performance indicators most relevant for your team or clients—common scorecard fields include spend, sales, cost per order, ROAS, impressions, and proportion of wasted spend. Define standard scorecard metrics across all clients for consistency. Create a template in your BI tool or spreadsheet that will host each client’s figures side by side for comparability. Be sure to account for different campaign types or regional structures as needed.

If you use the Amz Ad Waste Detector - Amazon Ads Analytics Module, you benefit from performance breakdowns, cleanup plans, and granular campaign data—all of which can populate custom scorecard fields automatically, reinforcing consistency in reporting across client groups.

Step 3: Identify Wasted Spend and Actionable Improvements

Analyzing wasted ad spend is core for optimization. After metrics are compiled, pinpoint areas where budget was spent without generating sufficient sales or strong ROAS. Compare results for individual clients, whole teams, and marketplaces side by side. Since negative keyword management is vital for controlling costs, use a tool capable of surfacing underperforming search terms by ranking them on spend, conversion, or ROAS signals.

The Amazon Negative Keyword Tool by Todoza is designed to highlight and manage search terms that trigger ad waste. Its import and workflow features streamline the review process, letting you update your scorecard with actionable optimizations and ensuring all team changes are tracked for future reporting.

Step 4: Review, Share, and Iterate on Your Scorecard

Performance scorecards become more valuable when reviewed collaboratively and updated on a regular basis. Review each scorecard periodically with fresh campaign data to capture new trends. Share findings and recommended optimizations with client stakeholders or internal team leads. For distributed or agency teams, use dashboard sharing and role-based permissions to control access while enabling full transparency across accounts and teams.

By iterating on your scorecard templates and processes as client needs change, you’ll ensure continued alignment between ad goals and ongoing campaign management.

Tips and Common Mistakes When Building Multi-Client Scorecards

Keep all data sources consistent in terms of timing and metric definitions to prevent misaligned reporting. Don’t rely solely on high-level KPIs—drill down into campaigns and search terms to reveal hidden inefficiencies. If campaigns run in multiple regions, normalize metrics like currency and time zones before comparing across clients. Avoid overlapping team responsibilities by defining clear access roles within your dashboard system, minimizing duplication or accidental data changes.

Consistency and Collaboration Across Teams

Scorecards that combine unified analytics with access controls support collaboration among agencies, sellers, and distributed teams. Structure dashboards for easy sharing and transparent decision-making while controlling sensitive data access.