Key results
90%
reduction in reporting time from 2-3 days to under 4 hours per client
30+
standardized KPIs implemented across 70+ D2C brands
100%
dashboard adoption by campaign and client success teams
20%
improvement in client satisfaction and retention driven by timely, transparent insights
About the Client
A Chicago-based performance marketing agency managing growth marketing and advertising operations for over 70 direct-to-consumer (D2C) eCommerce brands. The firm specializes in multichannel strategy, campaign execution, and digital performance measurement.
Key Challenges
Marketing and sales data scattered across Meta, Google, Amazon, Klaviyo, Shopify, and more
Manual client reporting consuming 2–3 days per brand
No consistent framework to scale performance analytics across brands
Our Approach
- Designed a cloud-native, multi-tenant data architecture using Amazon Redshift and S3
- Used DataChannel to ingest data from over 25 marketing and eCommerce platforms
- Used Python for additional custom integrations (like ERPs, CRMs, etc.) and data transformations
- Developed brand-specific KPIs and visualizations through the our Seller Intelligence framework
Implemented Solution
Cloud Platform & Data Infrastructure
- Centralized campaign, sales, and customer data in Amazon Redshift
- Leveraged DataChannel to connect and sync data from Meta Ads, Google Ads, Klaviyo, Amazon Ads, and Shopify
- Applied custom business logic using Python to standardize data across brands
- Ensured secure brand-level access and isolation for reporting
Reporting & Visualization Framework
- Built 200+ real-time dashboards in Tableau under Seller Intelligence
- Tracked key performance metrics like ROAS, CAC, LTV, cohort performance, and retention
- Enabled daily refresh cycles and real-time access for internal teams and clients
Technologies Used
No items found.
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