Attribution & Analytics
Triple Whale
Triple Whale is a marketing analytics and attribution platform for direct-to-consumer ecommerce brands that unifies ad spend, Shopify revenue, and customer data in one dashboard. Using a first-party server-side pixel and modeled attribution, it shows blended ROAS, new-customer acquisition cost, contribution margin, and lifetime value in real time. It adds creative analytics, cohort reporting, and AI summaries so lean DTC teams can make confident daily spend decisions from a single source of truth.
What it does
Triple Whale is a marketing analytics and attribution platform built for direct-to-consumer ecommerce brands, centralizing ad spend, store revenue, and customer data in one dashboard. It connects to Shopify and major ad channels, then uses first-party pixel data and modeled attribution to show which campaigns, creatives, and channels actually drive profitable orders. Brands track blended ROAS, new-customer acquisition cost, contribution margin, and cohort lifetime value in real time, replacing scattered spreadsheets. It adds creative analytics, a server-side pixel for signal recovery, and AI assistants that summarize performance, so lean DTC teams can make daily spend decisions from a single source of truth.
Where it fits
Sits at the cross-channel attribution and profitability layer of a DTC ecommerce marketing stack.
Core features
- Blended and channel-level ROAS across all ad platforms
- First-party server-side pixel for resilient conversion tracking
- New-customer CAC and contribution-margin reporting
- Cohort and lifetime-value analysis tied to ad spend
- Creative analytics to compare ad performance
- AI summaries and customizable real-time dashboards
Best for
- DTC Shopify brands tracking blended ROAS and profit
- Lean growth teams replacing spreadsheet reporting
Beginner notes
- Install the server-side pixel early so attribution data builds before you scale spend
- Focus on new-customer CAC, not just blended ROAS, to avoid rewarding retargeting
- Reconcile dashboard numbers against Shopify periodically so the team trusts the data