80+
Accounts Automated
0 to 80+ connected accounts
Daily SP-API and Ads API reporting across the managed portfolio.
Multi-Account Amazon Reporting: Calibray managed more than 80 Amazon seller brands across multiple marketplaces, with each account requiring recurring sales, inventory, traffic, advertising, and profitability reports.
Manual Seller Central and Ads Exports: Analysts repeatedly logged into Amazon Seller Central and the Amazon Ads console to download separate CSV reports for seller operations and advertising performance.
Fragmented SP-API and Advertising Data: Sales, traffic, inventory, campaign, keyword, and search-term data lived in disconnected reports, making it difficult to compare advertising spend with total marketplace revenue and stock availability.
Slow KPI Preparation: Team members spent approximately eight hours per brand during a monthly reporting cycle cleaning files, mapping products, calculating metrics, and preparing presentation charts.
Limited Client Visibility: Brands depended on static weekly or monthly presentations instead of a secure, self-service dashboard with consistently refreshed performance data.
Linear Scaling Costs: Every additional brand increased extraction, transformation, quality-checking, and presentation work, limiting the agency's ability to grow without adding reporting headcount.
0 to 80+ connected accounts
Daily SP-API and Ads API reporting across the managed portfolio.
8 hours to 30 minutes per brand/month
Average monthly report preparation time after automation.
0% to 100% of managed brands
Secure access to daily refreshed Amazon performance dashboards.
1x to 4x baseline capacity
Achieved without proportional reporting headcount growth.
Amazon SP-API and Ads API Architecture: Designed a unified pipeline in which Amazon seller and advertising data flowed through scheduled ingestion jobs, validation and normalization services, a PostgreSQL data warehouse, a KPI computation engine, and a secure multi-tenant dashboard.
Rate-Limit-Aware Multi-Account Ingestion: Built Node.js ETL workflows to collect daily data from more than 80 Amazon seller accounts and advertising profiles while scheduling requests around API rate limits and asynchronous report availability.
Seller and Advertising Data Normalization: Standardized sales, traffic, inventory, campaign, keyword, search-term, and advertising performance records across brands and marketplaces, with shared dimensions for seller accounts, products, SKUs, ASINs, campaigns, and reporting dates.
Centralized Amazon Data Warehouse: Modeled normalized operational and advertising data in PostgreSQL so analysts could compare marketplace revenue, ad-attributed sales, spend, traffic, inventory health, and profitability from one governed source.
200+ KPI Computation Engine: Automated calculations for ACOS, TACoS, blended ROAS, contribution margin, inventory turnover, sales velocity, SKU-level profitability, campaign trends, and portfolio health.
Secure Multi-Tenant Analytics: Implemented brand-level data isolation and role-based access so every client could view only its authorized seller and advertising data while agency administrators retained centralized oversight.
Daily Refreshed Dashboards: Replaced static PowerPoint reporting with more than 80 interactive visualizations covering campaign performance, search terms, targeting, sales trends, inventory forecasts, and brand-level scorecards.
Automated Reporting Operations: Reduced repetitive CSV extraction, spreadsheet transformation, KPI calculation, and chart preparation, allowing analysts to spend more time interpreting performance and optimizing campaigns.
Managing multiple Amazon seller accounts or advertising profiles? Centralize your SP-API and Amazon Ads data in one governed analytics platform.
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