Triple Whale
A unified analytics platform that consolidates ecommerce channel data and uses AI to optimize marketing decisions and operations.
- Also known as
- triple-whale
Available worldwide
What is Triple Whale?
Triple Whale integrates data from all sales and marketing channels into a single analytics hub, providing multi-touch attribution, real-time insights, and AI-powered automation to help ecommerce brands optimize spending and operational efficiency.
Triple Whale pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
GMV-based tiered subscription (Foundation, Automate, Enterprise) with free tier; billed monthly or annually with 2-month discount on annual prepay; all paid plans include unlimited users and multi-store integration
Free
FreeFree plan with no commitment
Foundation
Core measurement and AI capabilities including attribution and reporting
- Multi-touch attribution powered by Triple Pixel
- First-click and last-click attribution models
- BI suite with custom dashboards
- SQL editor
- Customer segments
- Post-purchase survey
- Moby AI operator
- Unlimited users
- Multi-store integration
Automate
Foundation capabilities plus proactive automation and specialist agents
- All Foundation features
- Automations for recurring tasks and triggers
- Moby Specialists for specific domains
- Expanded Moby usage allotment
- Automated monitoring and alerts
- Automated reporting
Enterprise
Contact salesComplete platform with advanced measurement, security controls, and multi-brand capabilities
- All Automate features
- Compass unified measurement
- Marketing mix modeling
- Incrementality testing
- Multi-brand reporting
- SOC 2 Type II compliance
- Single sign-on (SSO)
- Comprehensive audit logs
- Custom security review
What Triple Whale does
The capabilities that matter for marketing attribution, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Multi touch attribution mta modeling
- ✓
- Server side first party pixel tracking
- ✓
- Post purchase survey zero party data
- ✓
- Marketing mix modeling mmm
- ✓
- B2B account level pipeline revenue attribution
- ✗
- Daily ad spend cost ingestion API
- ✓
- Meta google tiktok ads API sync
- ✓
- Salesforce hubspot CRM revenue sync
- ✗
- Shopify woocommerce ecommerce revenue sync
- ✓
- SOC2 type ii
- ✓
- ISO 27001
- ✗
- Pricing model
- Per store revenue tier
Platform & deployment
Independently observed- Web
- Cloud / SaaS
Integrations (15)
Independently observed- Shopify
- BigCommerce
- WooCommerce
- Stripe
- Meta
- Google Ads
- TikTok
- Slack
- Klaviyo
- Okendo
- Taboola
- Outbrain
- Criteo
- Yotpo
- Amazon
Triple Whale alternatives
Other marketing attribution we track, ranked by the same independent score.
- AnyTrackTrack conversions and attribute sales across advertising platforms in real-timelow · 26%
- AppsFlyerA cloud-based mobile measurement and attribution platform that tracks app performance while prioritizing data privacy and fraud detection.low · 7%
- Wicked ReportsMarketing attribution software that identifies new customer sources using first-party data trackinglow · 26%
- AttributionMarketing attribution platform that aligns campaign performance measurement with actual revenue and business outcomeslow · 26%
- SegMetricsConnect your marketing activities to actual customer revenuelow · 25%
- DreamdataLinks B2B marketing activities to revenue outcomes using complete journey datalow · 12%
Compare Triple Whale
Side by side against other marketing attribution, attribute by attribute, with a source on every value.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Triple Whale, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Pricing transparency | 80 | 0.08 | 6.7 | ✓ |
| Capabilities | 92 | 0.05 | 4.5 | ✓ |
| Price level | 80 | 0.05 | 4.2 | ✓ |
| Security posture | 45 | 0.07 | 3.3 | ✓ |
| Integrations | 35 | 0.04 | 1.4 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Iso 27001: No · Soc2 type ii: Yes · Pricing model: per_store_revenue_tier · Marketing mix modeling mmm: Yes · Meta google tiktok ads api sync: Yes · Daily ad spend cost ingestion api: Yes | mediumsource · 2026-08-25 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 15 | mediumsource · 2026-08-25 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-25 · 75% |