Ecommerce / DTC Analytics & Data Strategy
Transform your data into actionable insights with our industry-specific analytics solutions. We implement comprehensive measurement frameworks tailored to your unique business challenges using GA360, PostHog, and BigQuery.
Tools we commonly use for ecommerce / dtc
Ecommerce / DTC Case Studies
See how we’ve helped ecommerce / dtc organizations solve measurement challenges and drive growth.
Complex
Bobbie
Juvenon
Jeff Walker
Baby’s Only
Natural Heart Doctor
ProHealth
Frequently Asked Questions
Common questions about ecommerce / dtc analytics and data strategy
How do you implement enhanced e-commerce tracking for DTC brands?
We set up comprehensive enhanced e-commerce tracking in GA360 that captures product impressions, add-to-cart actions, checkout behavior, and purchase data. This enables detailed funnel analysis and product performance insights for direct-to-consumer businesses.
Can you help with cross-device attribution for e-commerce?
Yes, we implement user ID tracking and probabilistic matching to connect customer journeys across devices. This provides accurate attribution for the modern multi-device shopping experience.
How do you optimize customer lifetime value (LTV) for DTC brands?
We build LTV models using historical purchase data, RFM analysis, and predictive analytics. For subscription DTC brands, we focus on cohort retention curves and churn prediction to maximize customer value.
What's your approach to reducing cart abandonment?
We implement detailed checkout funnel analytics to identify drop-off points, A/B test improvements, and set up remarketing audiences based on abandonment behavior and cart value.
Explore Other Industries
Our data strategy and analytics expertise extends across multiple verticals.