TW

Triple Whale

E-commerce Analytics & Intelligence

Data & AnalyticsE-commerceSaaSAnalyticsAI Agents
Function:Marketing
Subfunction:Paid Media & Advertising
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Founded
2021
Employees
200-281 employees
Funding
$55.4M total
Stage
$18.3M \- $33.8M ARR
Report version: Oct 24, 2025

1. Products/Services & Features

  • Main Offerings:

    • Agent-powered analytics platform for e-commerce brands
    • Multi-channel attribution and performance tracking
    • AI-driven insights and automated reporting (Moby AI)
  • Feature Breakdown: Centralized dashboard aggregating Shopify, Meta, Google, TikTok data; Multi-touch attribution modeling; Cohort analysis and customer segmentation; AI agents for automated insights and forecasting; Custom metrics and real-time reporting; Subscription analytics; Creative performance analysis; Fraud detection; Integrations with 50+ platforms (Departments: Marketing, Finance & Accounting, Product & Engineering, Customer Success, Sales)

  • Business Industry Gearing: Highly geared toward e-commerce and DTC brands; Primary focus on Shopify merchants; Secondary focus on broader SaaS analytics market

2. Security & Compliance

  • Certifications: SOC 2 Certified, GDPR Compliant; Swiss-US Data Privacy Framework Certified

  • Vendors/Tools: PrivacyTeam Ltd. (Data Protection Officer)

  • Risk Profile:

    • Breaches: No publicly reported security breaches as of October 2025
    • Features: Audit trails and compliance tools emphasized in Trust Center; Data retention and access logging mechanisms not comprehensively published; Advanced eDiscovery and compliance management tools not detailed in public documentation

3. User Feedback & Adoption

  • Aggregated Reviews: G2: 4.5/5 stars (450+ reviews); Capterra: High satisfaction ratings

    • Pros: Centralized data integration across all marketing channels; Excellent multi-touch attribution modeling; Time savings through automated reporting; AI-powered custom report generation; Customizable metrics; Responsive customer support; Scalable for both small and enterprise brands
    • Cons: High pricing, especially for SMBs; Performance issues with large datasets; Best features locked behind Enterprise tier; Some fixes require support team intervention; Recent AI reliability concerns post-updates
  • Adoption Insights:

    • Adoption Ease: Moderate to High - Intuitive dashboards and integrations; requires onboarding for advanced features; good support available
    • Adoption Cultural Fit: Excellent fit for data-driven marketing teams; requires organizational buy-in for data centralization; best suited for brands with multi-channel marketing strategies
  • Metrics: Not publicly disclosed; user retention appears strong based on 20,000+ active brands and positive reviews

  • Barriers: High pricing for smaller businesses; learning curve for advanced AI features; data migration complexity; dependency on support for certain fixes

4. Monetization & Business Model

  • Revenue Model: Tiered SaaS subscription model based on Gross Merchandise Value (GMV)

  • Pricing: Founders Dash (Free); Growth Plan ($129/month); Pro Plan ($199/month); Enterprise Plan ($279/month+); GMV-adjusted pricing scales significantly with business size (Sources: https://www.triplewhale.com/pricing; G2; Capterra; SoftwareFinder)

  • Market Context:

    • TAM: Global e-commerce analytics market estimated at $10B+; DTC brand analytics subset represents $2-3B opportunity
    • Growth Stage: Growth stage; market expanding as e-commerce brands increasingly adopt AI-powered analytics

5. Leadership & Recent Developments

Name Description LinkedIn X Account
AJ Orbach CEO & Co-Founder; leads overall company strategy and vision https://www.linkedin.com/in/ajorbach https://x.com/ajorbach
Maxx Blank COO & Co-Founder; oversees operations and business development; formerly e-commerce merchant https://www.linkedin.com/in/maxxblank https://x.com/maxxblank
Ivan Chernykh CTO & Co-Founder; leads technology and product development; based in Jerusalem, Israel https://www.linkedin.com/in/ivanchernykh https://x.com/ivanchernykh
  • Key Metrics Update:

    • Funding: Series B: $25M (February 2023)
    • Employee Growth: Estimated 101-250 employees as of October 2025; significant growth from founding team of 3
  • News/Trends:

    • News Launch: April 2025: Launched next-generation agent-powered platform; September 2025: Launched 35+ new AI tools including Deep Dive and Moby Chat
    • News Partnerships: Beta integrations with WooCommerce and BigCommerce; partnerships with ShipStation, ShipBob, and Recharge for subscription analytics
    • News Funding: Series B $25M (February 2023); no new funding rounds announced in 2025
    • News Challenges: Rising ad costs impacting customer acquisition; privacy changes affecting attribution accuracy; increased competition in e-commerce analytics space; market uncertainty around TikTok platform

6. Target Audience & Use Cases

  • Target Market: DTC e-commerce brands; Shopify merchants; mid-market to enterprise e-commerce companies; brands with $1M+ GMV

  • Target Users & Personas: E-commerce founders and operators; Marketing managers and teams; Growth analysts; Creative and product managers; Business intelligence specialists; CFOs and finance teams

  • User Experience Level: Intermediate to Advanced - requires comfort with data analysis and marketing metrics; suitable for both growing and established teams

  • Key Use Cases:

    • Multi-channel marketing attribution and ROI tracking for DTC brands running campaigns across Meta, Google, TikTok, and other platforms
    • Customer cohort analysis and retention optimization to identify high-value segments and improve lifetime value
    • Executive reporting and forecasting using AI agents to generate automated insights and strategic recommendations

7. Impact & Recommendations

  • Measurable Outcomes:

    • Workflow Improvements: Reduces manual reporting time by 60-80%; centralizes data from 50+ sources; enables faster decision-making through real-time dashboards; automates anomaly detection and strategic recommendations
    • ROI Examples: Brands report 30-40% improvement in marketing efficiency through better attribution; 20-30% reduction in reporting time; improved ROAS through data-driven budget allocation
  • Fit Assessment: Excellent fit for marketing teams at e-commerce brands; strong fit for finance teams needing profit tracking; good fit for product teams analyzing customer behavior; limited fit for non-e-commerce businesses

  • Custom Rec Flags:

    • Priority ICP: DTC e-commerce brands with $5M-$50M GMV; multi-channel marketing teams; brands seeking to optimize ad spend and improve attribution
    • Short Term Goals: Expand integrations beyond Shopify to WooCommerce and BigCommerce; scale AI agent capabilities; increase enterprise customer base; improve AI reliability post-recent updates

8. Data Sourcing Notes

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