AiverseWorld logo

AiverseWorld

Triple Whale AI favicon
Verified July 24, 2026AI E-Commerce Analytics and Attribution Platform

Triple Whale AI

Triple Whale / triplewhale.com

AI-powered e-commerce analytics platform providing first-party attribution, revenue analytics, and AI cohort analysis for Shopify and direct-to-consumer brands.

Visit Triple Whale AI

Pricing

$349/mo

Free plan

No

Category

Developer Tools

Platforms

3

Free plan

No

API access

No

Open source

No

Platforms

3

Advertisement

What is Triple Whale AI?

Triple Whale is an e-commerce analytics and attribution platform purpose-built for direct-to-consumer (DTC) brands — providing first-party data attribution, revenue analytics, and AI-powered cohort analysis that addresses the post-iOS14 attribution challenge where third-party cookie data became unreliable. First-party attribution in Triple Whale captures actual revenue attribution across marketing channels using pixel, post-purchase surveys, and server-side tracking — providing more accurate revenue attribution than relying on platform-reported data from Facebook Ads, Google Ads, and TikTok Ads that each claim credit for the same conversions. Moby is Triple Whale's AI assistant — answering e-commerce analytics questions in natural language, generating AI-powered cohort analyses, and surfacing anomalies in revenue and marketing performance. Cohort analysis tracks customer acquisition cohorts over time — which acquisition channels produce customers with the highest lifetime value, lowest churn, and highest average order value. Summary Dashboard provides a single view of business performance — revenue, orders, ad spend, blended ROAS, and customer acquisition cost across all channels in one dashboard. With customers including thousands of Shopify brands across fashion, beauty, and consumer goods, Triple Whale validates as the leading DTC analytics platform.

e-commerceaiattributiondtcanalyticsshopify
Explore more Developer Tools tools →

How Triple Whale AI works

Triple Whale AI runs as llm assistant software built around data and text workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, ios, and android.

Video Guides

Watch Triple Whale AI in action

Recent YouTube videos cached from the backend so this page stays fast and fresh.

Key Features

What makes it worth shortlisting

The capabilities that matter most for teams evaluating Triple Whale AI.

01

First-Party Attribution

Revenue attribution using own pixel and server-side tracking across Meta, Google, and TikTok — more accurate than platform-reported data after iOS14 limited third-party tracking.

02

Moby AI

Natural language analytics assistant for e-commerce questions — surfacing cohort insights, performance anomalies, and channel attribution analysis without data engineering expertise.

03

Cohort Analysis

Customer acquisition cohort tracking over time — identifying which channels produce highest LTV, lowest churn, and highest AOV customers for optimised channel investment.

First-Party Attribution (revenue attribution across marketing channels)Moby AI (natural language analytics assistant)Cohort Analysis (LTV and retention by acquisition cohort)Summary Dashboard (blended business performance view)Marketing analytics integration (Meta, Google, TikTok)Post-purchase survey attributionPixel and server-side trackingCustomer segmentationAutomatic Alerts (anomaly detection)Shopify and DTC brand focus

Best use cases

First-party attribution for post-iOS14 DTC brands
AI cohort analysis and LTV analytics
Multi-channel marketing attribution
Revenue and marketing performance dashboard
Shopify e-commerce analytics and optimisation

Who should use it

DTC brand founders and marketing leaders
E-commerce marketing analysts
Growth and performance marketing teams
CFOs at e-commerce companies
Media buyers and paid social teams

Pros

  • Purpose-built for Shopify DTC brands — the most common e-commerce platform for direct-to-consumer companies
  • First-party attribution addresses the post-iOS14 attribution crisis for Meta-heavy DTC marketing mixes
  • Moby AI enables natural language analytics without requiring data engineering expertise
  • Cohort analysis identifies which acquisition channels produce the highest LTV customers over time

Cons

  • Shopify-focused — not designed for WooCommerce, Salesforce Commerce Cloud, or enterprise e-commerce platforms
  • Starter pricing at $129/month is affordable for growing brands but accumulates with higher-tier features
  • Competing with Northbeam, Rockerbox, and Elevar for DTC attribution market share

Advertisement

Pricing Analysis

Is it worth the price?

Starter $129/month. Growth $299/month. Pro $349/month. Enterprise custom.

Model

Subscription

Starting price

$349/mo

Free trial

Yes

Similar Tools

Tools like Triple Whale AI

Northbeam provides DTC attribution. Rockerbox provides multi-channel attribution. Elevar provides e-commerce tracking. Klaviyo (covered) provides email analytics alongside marketing. GA4 (covered) provides web analytics without DTC attribution depth.

Comparison

Triple Whale AI vs Hugging Face

A side-by-side look at the closest alternative in this category.

Triple Whale AI favicon

Triple Whale AI

Triple Whale

Hugging Face favicon

Hugging Face

Hugging Face

Overview
Rating
—
—
Category
Developer Tools
Developer Tools
Subcategory
AI E-Commerce Analytics and Attribution Platform
AI Model Hub
Company
Triple Whale
Hugging Face
Status
Active
Active
Launch year
2023
2016
Tags
e-commerceaiattributiondtcanalyticsshopify
open-sourcemachine-learningmodelsdatasetstransformersresearch
Pricing
Starting price
$349/mo
$9/moBest value
Pricing model
Subscription
Freemium
Free plan
No
Yes
Free trial
✓
✕
Pricing notes

Starter $129/month. Growth $299/month. Pro $349/month. Enterprise custom.

Free for most models and Spaces. Pro $9/month for private models, priority inference, and ZeroGPU. Enterprise Hub from $20/user/month for team collaboration and security.

Capabilities
Best for
First-party attribution for post-iOS14 DTC brandsAI cohort analysis and LTV analyticsMulti-channel marketing attributionRevenue and marketing performance dashboardShopify e-commerce analytics and optimisation
Open source model explorationModel fine-tuningResearchML model deploymentDataset management
Target audience
DTC brand founders and marketing leadersE-commerce marketing analystsGrowth and performance marketing teamsCFOs at e-commerce companiesMedia buyers and paid social teams
AI researchersML engineersData scientistsDevelopersAcademic researchers
AI type
LLM Assistant
ML Platform
Modalities
DataText
TextImageAudioVideoCode
Technical
Model provider
OpenAITriple Whale
Open Source Community
Model names
—
LlamaMistralStable DiffusionFLUXWhisper
API available
✕
✓
Open source
✕
✓
Deployment
SaaS
SaaSAPIOpen Source
Platforms
WebiOSAndroid
WebPython library
Integrations
ShopifyMeta AdsGoogle AdsTikTok AdsKlaviyoAPI
GitHubGoogle ColabAWSAzureGCPVS Code
Team collaboration
✓
✓
Trust & security
Security

SOC 2 Type II. GDPR compliant. Enterprise data handling agreements.

Enterprise Hub includes SSO, access controls, audit logs, and private infrastructure. SOC 2 compliant.

Privacy notes

E-commerce purchase and marketing attribution data processed on Triple Whale cloud. First-party pixel data collected from brand stores under applicable privacy regulations.

Public models and datasets are openly accessible. Enterprise Hub provides private model storage with data handling agreements. Review individual model licences before commercial deployment.

Verdict
Pros
  • Purpose-built for Shopify DTC brands — the most common e-commerce platform for direct-to-consumer companies
  • First-party attribution addresses the post-iOS14 attribution crisis for Meta-heavy DTC marketing mixes
  • Moby AI enables natural language analytics without requiring data engineering expertise
  • Cohort analysis identifies which acquisition channels produce the highest LTV customers over time
  • De facto standard hub for open source AI models with 500,000+ available
  • Transformers library provides consistent API for diverse model families
  • Spaces enable easy demo deployment without web infrastructure
  • Free for public models and strong community support
Cons
  • Shopify-focused — not designed for WooCommerce, Salesforce Commerce Cloud, or enterprise e-commerce platforms
  • Starter pricing at $129/month is affordable for growing brands but accumulates with higher-tier features
  • Competing with Northbeam, Rockerbox, and Elevar for DTC attribution market share
  • Technical platform primarily for developers and researchers
  • Inference API quality varies for very large or complex models
  • Navigation complexity increases with scale of the platform
Details

Technical & deployment info

Key facts about model providers, platforms, and team support.

Model Provider

OpenAI, Triple Whale

Platforms

Web, iOS, Android

Deployment

SaaS

Integrations

Shopify, Meta Ads, Google Ads, TikTok Ads, Klaviyo, API

Team Collaboration

Yes

Launch Year

2023

Trust

Security & privacy

Compliance signals and data-handling notes as reported by the vendor.

SOC 2 Type II. GDPR compliant. Enterprise data handling agreements.

E-commerce purchase and marketing attribution data processed on Triple Whale cloud. First-party pixel data collected from brand stores under applicable privacy regulations.

Reviews

What users are saying

Verified reviews from signed-in users, stored in the backend and averaged into this tool's rating.

0.00 reviews
5
0
4
0
3
0
2
0
1
0

Sign in to rate Triple Whale AI and leave a review.

No other reviews yet — be the first to share how this tool performs in practice.

FAQ

Common questions about Triple Whale AI

Free trial. Starter $129/month, Growth $299/month, Pro $349/month, Enterprise custom.

Editorial Verdict

Should you use Triple Whale AI?

Triple Whale is the best AI e-commerce analytics platform for Shopify DTC brands wanting first-party attribution, AI cohort analysis, and a single blended performance view across marketing channels.

Last verified July 24, 2026.

Advertisement