AB Tasty vs Eppo
Side-by-side comparison of features, pricing, and integrations.
Quick Verdict
AB Tasty offers more features (72 vs 22) and more integrations (2 vs 0). Both start at Contact Sales. AB Tasty has 71 unique features while Eppo has 21 unique features, with 1 features in common.
| AB Tasty | Eppo | |
|---|---|---|
| Category | Product Analytics | Product Analytics |
| Total Features | 72 | 22 |
| AI-Powered Features | 8 | 2 |
| Starting Price | Contact Sales | Contact Sales |
| Pricing Tiers | 0 | 0 |
| Integrations | 2 | 0 |
| Shared Features | 1 | |
| Shared Integrations | 0 | |
| Data Quality | 60% | 40% |
Feature Comparison by Category
AI (5 vs 1)
| Feature | AB Tasty | Eppo |
|---|---|---|
| AI Model Evaluation | ||
| AdaptiveCX | ||
| EmotionsAI | ||
| Evi - Evidence-Based Marketing Agent | ||
| Evi Hypothesis Formulation | ||
| Evi Insights & Reporting |
AI Personalization (0 vs 1)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Contextual Bandits |
API (4 vs 0)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Agnostic API | ||
| Mobile SDKs (Android, iOS) | ||
| REST Decision API | ||
| SDKs (Client & Server-side) |
Analytics (0 vs 1)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Feature Performance Analysis |
Analytics & Reporting (6 vs 0)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Cross Domain Tracking | ||
| Data Filtering & Segmentation | ||
| Predictive Testing | ||
| Real-Time Results | ||
| Reports and Dashboards | ||
| Stat Engine (Bayesian Statistics) |
Automation (0 vs 1)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Experimentation Analysis Automation |
E-commerce (8 vs 0)
| Feature | AB Tasty | Eppo |
|---|---|---|
| AI-Powered Search | ||
| Customizable Widgets | ||
| Dynamic Widgets | ||
| E-Merchandising | ||
| Merchandising Controls | ||
| Product Recommendation API | ||
| Product Recommendations | ||
| Widget Library |
Editing & Creation (3 vs 0)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Code Editor | ||
| Visual Editor with AI Prompts | ||
| WYSIWYG Editor |
Experimentation (0 vs 3)
| Feature | AB Tasty | Eppo |
|---|---|---|
| A/B Testing | ||
| Lifecycle Experimentation | ||
| Web Experimentation |
Governance (0 vs 2)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Metric Definition Governance | ||
| Semantic Layer |
Infrastructure (0 vs 1)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Warehouse-Native Architecture |
Integrations (1 vs 0)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Analytic Connectors |
Management (1 vs 0)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Experience Continuity |
Marketing (0 vs 2)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Email/SMS Campaign Testing | ||
| Geolift Tests |
Personalization (8 vs 0)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Advanced Campaign Triggers | ||
| Campaign Prioritization | ||
| Campaign Scheduling | ||
| Data Layer Segmentation | ||
| E-commerce Segmentation | ||
| Personalization | ||
| Segment Builder | ||
| Third Party User Segments |
Planning (0 vs 1)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Experiment Forecasts |
Program Management (0 vs 1)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Experimentation Program Management |
Release Management (7 vs 3)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Automated Rollouts | ||
| Automatic KPI-Triggered Rollbacks | ||
| Automatic Rollback | ||
| Config Flags | ||
| Feature & Server-Side Experiments | ||
| Feature Flagging | ||
| Feature Flags & Toggles | ||
| Progressive Deployment | ||
| Rollouts | ||
| User Segmentation & Targeting |
Security (5 vs 0)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Cookie Duration Setup | ||
| Enterprise SSO (SAML, LDAP) | ||
| ITP 2.1/2.2 Compliance | ||
| Multi-Factor Authentication | ||
| User, Role and Access Management |
Statistical Analysis (0 vs 4)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Bayesian Analysis | ||
| CUPED++ | ||
| Frequentist Analysis | ||
| Sequential Testing |
Support (9 vs 1)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Account Manager | ||
| Dedicated Consulting | ||
| Dedicated Training | ||
| Email & Phone Support | ||
| Infrastructure SLA | ||
| Online Knowledge Base | ||
| Support SLA | ||
| Ticketing System | ||
| User Certification | ||
| White-Glove Support |
Technical (1 vs 0)
| Feature | AB Tasty | Eppo |
|---|---|---|
| Single Page App Support (SPA) |
Testing (14 vs 0)
| Feature | AB Tasty | Eppo |
|---|---|---|
| A/B/n Testing | ||
| Custom Goals | ||
| Dynamic Allocation of Traffic (Multi-Armed Bandits) | ||
| Engagement Goals | ||
| Feature Experimentation | ||
| Mobile App Testing | ||
| Multiple Goals | ||
| Multivariate Testing | ||
| QA Testing Mode | ||
| Split URL Testing | ||
| Traffic Allocation (Percentage) | ||
| Transactional Goals | ||
| Unlimited Variations | ||
| Web Experimentation |
Unique Features
Only in AB Tasty (71)
AdaptiveCX
EmotionsAI
Evi - Evidence-Based Marketing Agent
Evi Hypothesis Formulation
Evi Insights & Reporting
Cross Domain Tracking
Data Filtering & Segmentation
Predictive Testing
Real-Time Results
Reports and Dashboards
Stat Engine (Bayesian Statistics)
Agnostic API
Mobile SDKs (Android, iOS)
REST Decision API
SDKs (Client & Server-side)
AI-Powered Search
Customizable Widgets
Dynamic Widgets
E-Merchandising
Merchandising Controls
+ 51 more unique features
Only in Eppo (21)
AI Model Evaluation
Contextual Bandits
Feature Performance Analysis
Experimentation Analysis Automation
A/B Testing
Lifecycle Experimentation
Metric Definition Governance
Semantic Layer
Warehouse-Native Architecture
Email/SMS Campaign Testing
Geolift Tests
Experiment Forecasts
Experimentation Program Management
Automated Rollouts
Config Flags
Feature Flagging
Bayesian Analysis
CUPED++
Frequentist Analysis
Sequential Testing
+ 1 more unique features
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