Triple Whale
E-commerce analytics and AI for retail brands that want real answers from their ad and sales data.
Independent overview by new Mantra · updated July 22, 2026
- Category
- Marketing
- Pricing
- Free; Foundation and Automate plans priced via walkthrough (no public rates); Enterprise custom
- Implementation
- 2-4 weeks
- Adoption risk
- Medium
- Integrates with
- Meta, Google, TikTok, Klaviyo, Shopify, Slack
What Triple Whale does
Triple Whale pulls data from your ad channels, storefront, email platform, and other solutions into one place so you can see what's actually driving revenue. Instead of toggling between Meta, Google, TikTok, Klaviyo, and Shopify dashboards, you get a single view of how money is moving through your business in real time.
The platform's AI assistant, Moby, is built specifically for e-commerce rather than being a general-purpose chatbot. It can answer questions about your business, suggest where to shift ad budget, draft Klaviyo email campaigns, build customer segments, forecast next month's order volume, and flag when a creative is losing effectiveness — all grounded in your own live data rather than generic knowledge.
On the measurement side, Triple Whale combines multi-touch attribution, marketing mix modeling, and incrementality testing in one place. That matters because no single attribution method tells the whole story; having all three together gives you a more complete picture of what each channel is actually contributing before you decide where to spend next.
Key capabilities
Unified marketing attribution
Multi-touch attribution, marketing mix modeling, and incrementality testing work together so you're not guessing which channels earn their spend. You can connect results directly to revenue rather than relying on any single model's blind spots.
AI-assisted decisions and actions
Moby can manage ad campaigns, write email content, build live audience segments, generate ad creatives, and schedule reports — going beyond surfacing recommendations to actually carrying out tasks. It draws on your live business data, not a generic training set.
Real-time cross-channel dashboard
Over 75 ready-to-use dashboards cover marketing, sales, and operations data refreshed continuously, so leadership and performance teams work from the same current picture. Custom reporting is also available for teams with more specific needs.
Advanced pixel and data capture
Triple Whale's pixel uses identity resolution to track customer and prospect interactions that standard platform pixels often miss, giving your attribution models more complete signal to work with.
Data enrichment and audience activation
Sonar feeds richer first-party signals back into ad platforms like Meta and TikTok to improve their targeting algorithms. Sonar Send specifically targets customers that standard pixels miss, aiming to recover revenue from flows that would otherwise go unattributed.
Broad integration coverage
Out-of-the-box connections include Meta, Google, TikTok, Klaviyo, Shopify, and Slack, with more than 60 integrations available overall — reducing the custom engineering work typically needed to centralise e-commerce data.
Best for
- Direct-to-consumer or e-commerce brands running paid ads across multiple channels (Meta, Google, TikTok) who need reliable attribution rather than relying on each platform's self-reported numbers.
- Marketing and growth teams spending meaningful budget on ads and looking to reduce wasted spend through clearer measurement and faster decision-making.
- Shopify-based stores that want their storefront, ad, and email data consolidated without building a custom data warehouse.
- Performance marketers or e-commerce directors who want an AI assistant that understands their specific business context rather than a generic large-language-model solution.
- E-commerce agencies managing multiple client accounts who need scalable reporting and AI-assisted execution across campaigns.
Worth knowing
- Triple Whale is built for e-commerce and retail. If your business is in services, B2B, healthcare, or another sector, the platform's features and dashboards will likely feel like a poor fit.
- Paid plans (Foundation, Automate, Enterprise) are priced through a sales walkthrough rather than published rates. An annual commitment offers two months free, but this is a recurring software cost that should be weighed against current analytics spend.
- Plan on two to four weeks to get fully up and running. Connecting your data sources, validating attribution, and training your team on Moby takes real time and internal attention — it's not a same-day setup.
- Getting value from attribution and AI features depends on having clean, connected data. Teams without a Shopify store or without active ad accounts on supported platforms will find fewer features applicable.
- Rolling out a new analytics and AI workflow across a marketing team typically involves some change management — existing reporting habits and processes will need to shift to realise the platform's benefits.
Related solutions
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