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Triple Whale

E-commerce analytics with attribution and AI agents

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What Triple Whale is

An analytics platform for e-commerce brands that got tired of stitching reports. Store, ad platform and cost data land in one dashboard, and the metrics that decide budget moves, such as ROAS, CAC, LTV and true profit, are computed from unified data.

Triple Pixel handles attribution with first-party signals, and Moby AI agents answer questions in plain language, returning insights, predictions and recommended actions.

What you can do with it

  • See ads, orders, customers and costs unified in real time
  • Track ROAS, CAC, LTV and net profit without manual exports
  • Attribute conversions more reliably with first-party pixel data
  • Ask Moby AI questions and get actionable answers
  • Run creative analysis, incrementality tests and retention views

Who it is for

  • DTC brand founders and e-commerce teams
  • Growth leads allocating ad budgets
  • Analysts replacing spreadsheet stitching
  • Brands on Shopify and similar stacks

What to watch out for

  • Attribution is modeling, not truth; treat any pixel's numbers as directional
  • Platform coverage should be checked against your ad channels
  • AI-generated recommendations need a human budget owner
  • Costs scale with store volume, so model the subscription against margin

Pros & cons

✓ What we like

  • Ends manual cross-platform reporting
  • First-party attribution fits post-cookie reality
  • Natural language access to metrics
  • Profit view beyond ad-platform ROAS

! What to watch out for

  • Attribution accuracy is inherently imperfect
  • Subscription cost needs justification at small scale
  • Dependence on platform data pipelines

FAQ

What does it unify?

Advertising, order, customer and cost data in one real-time dashboard.

What is Moby AI?

Triple Whale's AI assistant for natural language questions, insights, predictions and recommendations.

Who is it for?

E-commerce brands, especially DTC and Shopify-based stores, that need unified growth analytics.

Last reviewed: 2026-09-15

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