Triple Whale
AI e-commerce analytics platform for DTC brands with Moby AI assistant, unified attribution, and creative analytics - used by 7,000+ Shopify brands.
Triple Whale is an AI-powered e-commerce analytics platform designed for direct-to-consumer brands that run paid advertising across Meta, Google, TikTok, and other channels. The platform unifies first-party data from Shopify with advertising spend data to provide accurate attribution that does not rely on third-party cookies, and delivers a unified profit dashboard showing true ROAS, contribution margin, and customer acquisition costs in real time. Moby, Triple Whale's AI analytics assistant, answers natural language questions about performance data - "which creative generated the most first-time buyers in Q1" - without requiring SQL or manual report building. The creative analytics module helps performance marketers understand which ad creative formats, hooks, and angles are driving conversions. Founded in 2021 and based in Columbus, Ohio, Triple Whale serves 7,000+ brands and offers a forever-free plan.
Key Features
- Unified profit dashboard showing real-time revenue, ad spend, COGS, fees, and net profit across Shopify and all ad channels on one screen
- First-party attribution that tracks the customer journey using pixel and checkout data rather than relying on platform-reported ROAS figures
- Moby AI assistant that answers natural language questions about store performance, creative results, and cohort behavior from the data warehouse
- Creative analytics dashboard that shows performance by ad creative, hook, format, and visual element across Meta and TikTok campaigns
- Customer data platform with LTV cohorts, repeat purchase rates, and segmented behavior for different acquisition channels
- Benchmarking against anonymized industry data so DTC brands can compare their CAC, retention, and ROAS against peers in their category
Use Cases
- DTC e-commerce brands running $50K+ monthly ad spend who need accurate attribution beyond Meta Ads Manager's inflated ROAS numbers
- Performance marketers who need to understand which creatives are driving profitable first-time buyers versus low-LTV coupon hunters
- E-commerce founders building weekly reporting without an analytics team who want a single source of truth for revenue, spend, and profit
- Shopify brands scaling into multi-channel advertising who need unified data across Meta, Google, and TikTok without building custom dashboards
Pros
- First-party attribution model gives more accurate channel-level ROAS than platform self-reported numbers, which inflate performance by double-counting
- Moby AI answers performance questions in natural language without requiring analysts or SQL - accessible to founders managing ad accounts directly
- Creative analytics at the asset level helps creative teams make data-driven decisions rather than guessing which ads to scale
Cons
- Primarily built around Shopify - brands on WooCommerce, BigCommerce, or custom storefronts have limited or no integration support
- Attribution model, while more accurate than platforms, still involves statistical assumptions that can differ from last-click or multi-touch models teams are used to
- Paid plans require annual commitment for the best pricing - monthly billing at lower plan tiers is available but significantly more expensive per month
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