Key results
dashboards deployed across performance, marketing, product, and finance analytics for Amazon-first eCommerce clients
reduction in manual reporting effort, enabling clients to shift from spreadsheets to automated, real-time insights
of ASIN performance by linking ad spend, Buy Box %, inventory, and conversion data across Seller Central and Amazon Ads.
data sources integrated including Amazon Ads, Amazon Marketing Cloud, Amazon Seller Central, Amazon Vendor Central, Shopify, Google Ads, and Meta Ads, supporting unified cross-channel performance reporting
About the Client
The client is a U.S.-based SaaS company offering real-time eCommerce analytics dashboards to over 75 brands and agencies. The platform empowers D2C and marketplace sellers with prebuilt insights spanning performance drivers, customer value, ad effectiveness, inventory planning, and financial metrics - all powered by a unified cloud data architecture.
Key Challenges
Data was fragmented across eCommerce, ad, and CRM platforms, limiting unified performance visibility.
Manual workflows couldn’t scale to deliver real-time dashboards across 75+ clients efficiently.
KPI definitions like ROAS, LTV, and CAC varied across teams, causing misaligned reporting.
Heavy reliance on spreadsheets delayed insights and reduced decision-making agility for clients and internal teams.
Our Approach
- Implemented a centralized cloud warehouse on Amazon RedShift
- Used DataChannel, dbt and custom connectors to automate ETL from 20+ sources including Amazon Ads, Amazon Marketing Cloud, Amazon Seller Central, Amazon Vendor Central, Shopify, Klaviyo, and Walmart
- Designed multi-tenant data marts and metric models (CAC, ROAS, LTV, NTB, PO forecast)
- Delivered modular dashboards in Tableau for every client
Implemented Solution
Centralized Data Warehouse Built on Amazon Redshift
- Designed and deployed a multi-tenant Redshift data warehouse to support secure, isolated, and scalable analytics across 75+ Amazon-focused eCommerce clients
- Utilized Amazon S3 as the raw data staging layer to store API payloads in JSON, CSV, and Parquet formats
- Created partitioned and distribution-key optimized tables to support fast querying of ASIN-level sales, ad performance, inventory, and customer data
- Enforced row-level security (RLS) and IAM-based access controls to manage visibility across client teams (marketing, operations, finance, analytics)
Automated Data Ingestion from Amazon & E-Commerce Ecosystem
- Ingested granular data from Amazon Seller Central & Vendor Central, including ASIN-level sales, Buy Box %, PO status, return rates, and page views
- Integrated Amazon Ads (Search, DSP) and Amazon Marketing Cloud (AMC) for real-time campaign spend, attribution, audience overlap, and funnel performance
- Connected additional platforms like Shopify, Walmart, Meta Ads, Klaviyo, and Google Ads to provide unified reporting across D2C and marketplace channels
- Used DataChannel to automate daily data syncs and ensure high availability and schema adaptability
Python-Based ETL Framework with Quality Controls
- Developed modular Python ETL pipelines for ingestion, transformation, and load processes
- Built reusable logic for standardized metrics such as ROAS, CAC, LTV, NTB %, and contribution margin
- Implemented QA layers including schema validation, deduplication, null detection, and data freshness checks
Tableau Dashboards for End Clients
- OmniChannel Sales Performance Dashboard – Tracks product-level sales, revenue, page views, conversion rate, and inventory status across Amazon, Shopify, Walmart, and other channels for a unified omnichannel view.
- Amazon Retail Performance Dashboard – Monitors ASIN-level metrics including Buy Box %, sessions, ordered units, return rate, and inventory health across Amazon Seller and Vendor Central.azon
- Omnichannel Marketing & ROAS Dashboard – Visualizes campaign performance across Amazon Ads, Meta Ads, Google Ads, and other platforms with metrics like spend, impressions, conversions, ROAS, CAC, and NTB share.
- Amazon Marketing & AMC Dashboard – Tracks campaign-level performance across Amazon Ads, DSP, and AMC, covering audience overlap, funnel drop-offs, time-to-convert, and path-to-purchase insights.
- P&L Dashboard – Analyzes SKU and campaign-level profitability by combining ad spend, platform fees, returns, refunds, and cost of goods to calculate true contribution margin across channels.
- Customer Value & LTV Dashboard – Tracks CAC, LTV, repeat purchase rate, and NTB customers by campaign, cohort, and acquisition source using data from CRM, D2C, and marketplace platforms.
- Product Diagnostic View – Provides product-level insights including conversion rate, pricing competitiveness, availability, page views, and click share across all active sales channels.
- AMC Attribution Suite – Offers funnel visualization, time-to-convert, audience overlap, and path-to-purchase insights from Amazon Marketing Cloud.
- Vendor PO Forecast Dashboard – Predicts stockouts and upcoming PO volumes for 1P operations based on historical demand trends, sell-through rates, and vendor lead times.
Technologies Used
