--- title: Web & Mobile Case Study | Amazon SP-API & Ads Analytics for 80+ Brands | Tirnav Solutions description: See how Tirnav combined Amazon SP-API and Ads API data for 80+ seller brands, reducing monthly reporting effort by 93.75% with a multi-tenant data warehouse and daily refreshed analytics dashboards. canonical: https://tirnav.com/case-study/web/data-engineering/amazon-sp-api-ads-analytics-platform --- ![Multi-tenant Amazon SP-API and Ads API analytics dashboard for more than 80 seller brands](https://tirnav.com/case-study/calibray-hero-image.png) # Amazon SP-API and Ads API Data Warehouse for 80+ Seller Brands Calibray - IndiaPerformance Marketing / eCommerce AgencyData Engineering & Analytics Platform4 Resources4 Months ## What business challenges did we solve? - • **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. ## Results 80+ ### Accounts Automated 0 to 80+ connected accounts Daily SP-API and Ads API reporting across the managed portfolio. 94% ### Less Reporting Time 8 hours to 30 minutes per brand/month Average monthly report preparation time after automation. 100% ### Self-Service Coverage 0% to 100% of managed brands Secure access to daily refreshed Amazon performance dashboards. 4x ### Reporting Capacity 1x to 4x baseline capacity Achieved without proportional reporting headcount growth. ## Which technologies powered this solution? Amazon SP-APIAmazon Ads APINode.jsRate-Limit-Aware ETL PipelinesAmazon Report AutomationPostgreSQLDimensional Data ModelingMulti-Tenant Analytics DashboardRole-Based Access ControlKPI Computation EngineScheduled Data Quality Monitoring ## Our technical approach and implemented solution - 1 **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. - 2 **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. - 3 **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. - 4 **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. - 5 **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. - 6 **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. - 7 **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. - 8 **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. ## Project Screenshots & Solution Gallery ![Amazon Ads overview dashboard showing advertising spend, attributed sales, ACOS and ROAS](https://tirnav.com/case-study/solutions/calibray/Ads_Overview.png) ![Amazon advertising campaign performance dashboard with campaign-level KPIs and trends](https://tirnav.com/case-study/solutions/calibray/Campaign.png) ![Amazon seller and advertising performance trend chart comparing revenue, spend and efficiency](https://tirnav.com/case-study/solutions/calibray/Performance_Trend.png) ![Amazon Ads time-series dashboard for campaign sales, clicks, spend and return on ad spend](https://tirnav.com/case-study/solutions/calibray/Performance_Trend_2.png) ![Amazon Ads search-term analytics dashboard for clicks, conversions, sales and wasted spend](https://tirnav.com/case-study/solutions/calibray/Search_Term.png) ![Amazon advertising targeting analysis showing keyword and product-target performance changes](https://tirnav.com/case-study/solutions/calibray/Targeting_Attrition.png) ![Amazon marketplace performance heatmap highlighting sales and advertising trends by period](https://tirnav.com/case-study/solutions/calibray/Heatmap.png) ![Amazon SP-API inventory forecast dashboard showing stock coverage and replenishment risk](https://tirnav.com/case-study/solutions/calibray/Inventory_Forecast.png) Managing multiple Amazon seller accounts or advertising profiles? Centralize your SP-API and Amazon Ads data in one governed analytics platform. [Explore Amazon SP-API Services](https://tirnav.com/services/amazon-sp-api-integration)[Explore Amazon Ads API Services](https://tirnav.com/services/amazon-ads-api-integration) Inspired by This Success Story? ### Company Info - Name:Calibray - Location:India - Industry:Performance Marketing / eCommerce Agency - [Visit Website](https://calibray.in/) ### Project Details - Duration:4 Months - Type:Data Engineering & Analytics Platform - Resource:4