Appier AIRIS (formerly Woopra)
Product analytics software
Customer journey analytics software
Digital analytics software
Marketing analytics software
E-commerce analytics software
Subscription analytics software
Conversion rate optimization tools
E-commerce software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Appier AIRIS (formerly Woopra)
Appier AIRIS (formerly Woopra) is a customer journey analytics platform used to track user behavior across web and product touchpoints and analyze funnels, retention, and conversion paths. It is typically used by product, growth, and marketing teams to understand how users move through acquisition, onboarding, and purchase flows. The product centers on event-based tracking with user profiles, journey/funnel analysis, and integrations to activate insights in downstream tools. Following the Woopra acquisition, AIRIS is positioned within Appier’s broader AI-driven marketing and customer engagement portfolio.
Event-based journey analysis
The platform supports event collection and user-level identity to analyze multi-step journeys, funnels, and drop-off points. This structure fits product and growth analytics workflows where teams need to compare cohorts and paths over time. It also supports tying behavioral events to user profiles for segmentation and analysis.
Integrations for activation
AIRIS/Woopra is designed to connect analytics outputs to other business systems through integrations, enabling teams to push segments or trigger actions outside the analytics UI. This helps operationalize insights for marketing, lifecycle messaging, and sales workflows. In practice, this reduces the need to export data manually for common activation use cases.
Cross-team analytics use cases
The product spans product analytics and marketing analytics needs, including conversion and retention analysis that can be shared across teams. It can support e-commerce and subscription-style measurement by tracking key events (e.g., checkout, renewal, churn signals) and analyzing their drivers. This breadth can reduce tool sprawl when one platform is used for multiple analytics stakeholders.
Data governance depends on setup
As with most event-based analytics, data quality relies heavily on consistent tracking plans, naming conventions, and identity resolution. Without disciplined instrumentation, reports can become difficult to trust or compare over time. Organizations often need ongoing analytics engineering support to maintain clean schemas and reliable attribution.
Advanced analysis may require exports
Teams that need highly customized modeling, complex attribution, or large-scale exploratory analysis may still need to export data to a warehouse or BI environment. This can add operational overhead and increase time-to-insight for advanced questions. The product is typically strongest for predefined journey, funnel, and segmentation workflows rather than bespoke analytics pipelines.
Product transition considerations
Because AIRIS is the continuation of Woopra under Appier, buyers may need to validate current packaging, roadmap, and support processes relative to the legacy product. Migrations, contract changes, or feature alignment can affect long-term planning for existing deployments. Due diligence is important for teams standardizing on a multi-year analytics stack.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Pro | $999 per month (starting) | 2-year data retention; 50 user seats; 360 real-time user profiles; Drilldown reporting; People metrics & formulas; Data Loader; Triggers; Public reports; Copilot & AI suggestions; Online support; Events tier shown starting at 5+ million events/month; 30-day free trial available. |
| Enterprise | Custom (contact sales) | Everything in Pro plus: customized data retention and user seats; Data warehouse sync; Advanced AI features (AI Predictions, AI Summary); AI Agent (Audience Agent); Data stores; Organization/B2B tracking; Single Sign-On (SSO); Data governance; Dedicated support & onboarding; higher data retention; pricing and event volumes by quote. |
Seller details
Appier Group, Inc.
Taipei, Taiwan
2012
Public
https://www.appier.com/
https://x.com/appier
https://www.linkedin.com/company/appier/
