Key results
96% Faster Data Refresh
Customer data latency reduced from 6 hours to just 15 minutes.
30% Better Retargeting
Real-time audience segments boosted campaign effectiveness.
Single Source of Truth
Unified reporting across marketing, sales, and customer experience.
Twice as Fast A/B Testing
Feedback loops for product and landing pages accelerated 2x.
About the Client
A California-based D2C skincare company offering personalized products with a science-first approach. With rising sales and new launches every quarter, the brand needed better visibility into customer behavior, conversion performance, and campaign effectiveness.
Key Challenges
Disconnected data from Shopify, Klaviyo, Meta Ads, and Google Analytics
Reporting delays of 6+ hours limited marketing agility
Lack of unified customer view across acquisition, engagement, and purchase
Our Approach
- Architected a modern analytics stack using GCP and BigQuery
- Integrated marketing, sales, and engagement data with automated pipelines via DataChannel
- Modeled unified customer journeys and LTV cohorts using dbt
Implemented Solution
Cloud Transformation & Warehousing
- Deployed a secure, scalable BigQuery data warehouse on GCP
- Migrated existing reports and scripts to cloud-native workflows
- Centralized data across marketing, product, and fulfillment tools
Data Engineering & Modeling
- Ingested data using DataChannel from Shopify, Klaviyo, Meta Ads, and GA4
- Developed modular dbt models for RFM analysis, conversion funnels, and churn risk
- Created a unified customer 360 layer to support real-time personalization
Visualization & Insights
- Designed Tableau dashboards for growth, CX, and product teams
- Enabled KPI drilldowns by campaign, channel, cohort, and SKU
- Automated reporting delivery to email, Slack, and CRM tools
Technologies Used
No items found.
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