Triple Whale

The agent-powered intelligence platform built for faster, more confident decisions across your entire brand.

Attribution & BI
★★★★☆ 4.4
2021 Founded
51-200 Employees
50,000+ Customers
Columbus, Ohio, USA Headquarters
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Quick Facts

Website
triplewhale.com →
Starting Price
149
Pricing Model
tiered
Company Type
private
Social
LinkedIn Twitter/X

About Triple Whale

Triple Whale is a data and intelligence platform built specifically for ecommerce and retail brands. It unifies storefront, advertising, customer, and financial data into a single source of truth, helping teams understand performance across acquisition, conversion, and retention. With its proprietary Triple Pixel and agent-powered AI, Triple Whale focuses on delivering accurate attribution, deep profitability insights, and practical recommendations for growth.

Founded in 2021 by ecommerce operators who were frustrated with fragmented and unreliable reporting, Triple Whale initially gained traction as a real-time profit and ROAS tracker for Shopify brands. Since then it has evolved into a full ecommerce operating system that includes advanced attribution models, creative and product analytics, cohort and LTV analysis, and a fully managed data warehouse. Its Moby AI layer adds conversational analytics and autonomous agents that can monitor performance, detect anomalies, and suggest budget or campaign changes.

The platform integrates with major ecommerce platforms (Shopify, BigCommerce, WooCommerce), ad networks (Meta, Google, TikTok, Snapchat, Pinterest, Microsoft Ads, X/Twitter), email and SMS tools (Klaviyo, Omnisend, Yotpo, Okendo), and operations tools (ShipBob, ShipStation, Recharge, Gorgias, affiliate networks, and data warehouses like BigQuery and Snowflake). This broad integration footprint allows Triple Whale to function as the intelligence layer across an entire revenue stack rather than as a point solution.

Today Triple Whale is used by tens of thousands of brands worldwide, from fast-growing DTC startups to large Shopify Plus merchants and omnichannel retailers. Backed by more than $50M in venture funding and strategic investment from Shopify, the company positions itself at the high end of the ecommerce analytics and attribution market, competing with platforms like Northbeam, Hyros, and Daasity while differentiating on AI agents, first-party identity resolution, and a vertically focused data warehouse.

Key Features

Triple Pixel first-party tracking - lightweight JavaScript pixel with an identity graph to capture pageviews, events, and conversions across devices and sessions for more accurate multi-touch attribution.

Agent-powered AI (Moby) - conversational analytics and autonomous AI agents that answer questions, generate reports, detect anomalies, and recommend budget or campaign changes.

Unified ecommerce dashboard - single source of truth for revenue, MER, ROAS, profit, LTV, new vs returning customers, and channel performance across all connected platforms.

Advanced attribution models - first- and last-click, multi-touch, click plus view (impression) models, and Total Impact Attribution to understand incremental impact of channels and campaigns.

Creative analytics - performance breakdown by ad creative, asset, concept, and hook to identify winning creatives and optimize paid social and UGC.

Product analytics - SKU and collection-level views of revenue, margin, attach rates, and contribution margin to guide merchandising, bundling, and inventory decisions.

Customer cohorts and LTV - cohort analysis by acquisition channel, campaign, offer, and time period, including payback windows, repeat purchase behavior, and LTV curves.

Marketing Mix Modeling (MMM) - model-driven budget allocation and what-if simulations to understand marginal returns and guide channel and spend decisions over time.

Custom dashboards and BI - no-code dashboard builder, segmentation builder, and SQL editor with a fully managed data warehouse plus reverse ETL to BigQuery, Snowflake, and sheets.

Post-purchase surveys and zero-party data - native surveys and Fairing integration to capture how customers heard about you and enrich attribution with survey responses.

Benchmarks and Trends - industry benchmarks powered by data from tens of thousands of brands so users can compare ROAS, CPA, AOV, and other metrics to peers.

Multi-store and multi-channel reporting - roll-up reporting across multiple storefronts, regions, and ad accounts to support multi-brand and multi-market operators.

Sonar Send and Sonar Optimize - data activation features that enrich email/SMS flows and push enriched conversion data back to ad platforms for better optimization.

Mobile app and alerts - full-featured iOS and Android apps with dashboards, push notifications, and daily/weekly email reports for on-the-go monitoring.

Shop app and marketplace analytics - support for channels like Amazon and Shop App, with channel-specific metrics and attribution woven into the core reporting.

Pros & Cons

👍 Pros

  • Centralizes data from storefronts, ad channels, and marketing tools into a single, easy-to-use dashboard, reducing manual reporting.
  • First-party Triple Pixel and advanced attribution models often provide clearer, more trusted ROAS and revenue attribution than native platform reporting.
  • Rich analytics for cohorts, LTV, creative performance, and product performance help brands make more sophisticated optimization decisions.
  • Moby AI chat and agents make it easy to ask questions in natural language, generate custom reports, and surface anomalies without a data team.
  • Strong ecommerce focus and deep Shopify ecosystem integrations, including Shopify Plus certification and broad support for major ad, email, SMS, and operations tools.
  • Mobile app and automated email/Slack-style dashboards give teams real-time visibility without logging into multiple tools.

👎 Cons

  • Pricing increases quickly with revenue and advanced plans can be expensive for smaller brands or those with tight margins.
  • Some users report data discrepancies or delays, particularly around certain channels like Amazon, and find attribution results confusing or inconsistent.
  • Customer support quality and responsiveness are described as uneven, with some reviewers praising CSMs and others citing slow or unhelpful support.
  • The platform has a learning curve; fully understanding models, metrics, and best practices can take time for non-analysts.
  • Performance issues such as slow-loading dashboards or lag during heavy reporting periods are mentioned in a subset of user reviews.

User Reviews

G2
4.5
★★★★★
Capterra
5.0
★★★★★
TrustRadius
7.5
★★★★★

Integrations

Shopify Shopify Plus BigCommerce WooCommerce Meta Ads Google Ads TikTok Ads Snapchat Ads Pinterest Ads Microsoft Ads X Amazon Klaviyo Omnisend Yotpo Okendo ShipBob ShipStation Recharge Gorgias Slack Google Sheets Google BigQuery Snowflake Taboola Outbrain Criteo StackAdapt Fairing ShareASale Rakuten Impact

Best For

Company Size

smb mid-market enterprise

Industries

Ecommerce Retail Apparel & Fashion Health & Wellness Beauty & Cosmetics Food & Beverage

Use Cases

Marketing attribution and source-of-truth reporting across channels Ecommerce analytics and performance dashboards Ad spend optimization and budget allocation Creative testing and performance analysis Customer cohort, LTV, and retention analysis Profitability, contribution margin, and forecasting

FAQ

What is Triple Whale?

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Triple Whale is an ecommerce intelligence and attribution platform that unifies data from your storefront, ad channels, email/SMS tools, and operations systems into a single source of truth. It uses a first-party tracking pixel, advanced attribution models, and a fully managed data warehouse to provide accurate views of revenue, ROAS, profit, LTV, creative performance, and more. On top of that data layer, its Moby AI chat and agents deliver conversational insights, anomaly detection, and recommendations so teams can make faster, more confident decisions.

How much does Triple Whale cost?

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Triple Whale offers a permanent free plan (Founders Dash) plus several paid tiers. Paid pricing is tiered based on both feature set and your annual GMV, with Starter typically beginning around $149 per month for smaller brands and Advanced and Professional plans scaling up from there. Larger and more complex brands can move into Growth or enterprise pricing, which includes premium support, advanced data warehouse capabilities, and additional AI features. Month-to-month and discounted annual billing options are available, and exact pricing depends on your revenue tier and selected plan.

What are the main features of Triple Whale?

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Core Triple Whale features include the Triple Pixel for first-party tracking and multi-touch attribution, unified dashboards that combine revenue, MER, ROAS, and profit across channels, creative and product analytics, cohort and LTV analysis, and Marketing Mix Modeling. The platform also offers post-purchase surveys and Fairing integration, Sonar Send and Sonar Optimize for data activation, multi-store and multi-channel reporting, a fully managed ecommerce data warehouse with custom dashboards and SQL, and Moby AI chat and agents for conversational analytics, anomaly detection, and automated insights.

Who are Triple Whale's main competitors?

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Triple Whale's primary competitors in ecommerce analytics and attribution include Northbeam, Hyros, Daasity, Peel Insights, and Lebesgue, along with broader analytics tools like Databox or generic BI stacks built on BigQuery, Snowflake, and Looker. Compared with these, Triple Whale emphasizes its Shopify and ecommerce focus, its Triple Pixel identity graph, and its agent-powered AI layer, while some rivals differentiate on lower price points, simpler attribution models, or broader support for non-ecommerce use cases.

Is Triple Whale good for small businesses?

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Triple Whale can be a strong fit for small but growing ecommerce businesses that are already investing in paid media and need clearer attribution and profit visibility. The free Founders Dash and Free plans give smaller teams access to real-time dashboards, basic attribution, and web analytics without upfront cost, and the Starter plan adds multi-touch attribution and deeper insights as budgets increase. That said, for very early-stage stores with minimal ad spend or simple reporting needs, the learning curve and cost of higher tiers may be more than they need until their revenue and marketing complexity grow.

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