Managing 80+ Seller Accounts: Calibray was serving over 80 Amazon Seller brands, each requiring periodic performance reports across ads, sales, inventory, and profitability metrics.
Manual Data Extraction: Multiple team members were logging into Amazon Seller Central and Amazon Ads portals daily to manually download reports in CSV format.
Resource-Heavy Reporting Workflow: Several analysts were involved in cleaning, merging, and transforming raw files before building charts in PowerPoint.
No Real-Time Visibility: Clients relied on static monthly or weekly presentations and had no access to live performance data.
Scalability Risk: As brand count increased, reporting workload grew linearly, creating operational bottlenecks and limiting agency growth.
Data Fragmentation: Seller and Ads data existed in silos, preventing unified KPI calculations such as TACoS, blended ROAS, and contribution margin.
Brands Managed
80 → 80 accounts
Automated reporting across all managed Amazon Seller accounts
Manual Reporting Effort
8 → 0.5 hours per brand
Average monthly reporting effort per brand reduced
Client Data Accessibility
0 → 100 %
Clients gained real-time dashboard access
Operational Scalability
1 → 4 x capacity
Agency reporting capacity increased without proportional headcount growth
Automated Multi-Account Data Ingestion: Built a scalable ETL pipeline to pull daily data from 80+ Amazon Seller accounts via SP-API and Amazon Ads API with rate-limit-aware scheduling.
Centralized Data Warehouse: Designed a structured warehouse consolidating sales, ads, traffic, and inventory data across all brands and marketplaces.
Advanced KPI Engine: Engineered logic to compute 200+ KPIs including TACoS, ACOS, blended ROAS, contribution margin, inventory turnover, and SKU-level profitability.
Interactive Client Dashboard: Replaced PowerPoint reporting with a secure login-based analytics portal where each brand could view real-time data.
80+ Dynamic Analytics Visualizations: Implemented advanced charts for campaign performance, keyword trends, sales velocity, portfolio health, and time-series comparisons.
Multi-Tenant Architecture: Enabled brand-level data isolation while maintaining centralized administrative control for the agency.
Operational Automation: Eliminated the need for manual CSV downloads and chart creation, freeing analyst time for campaign optimization.
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