ActionIQ Enterprise Customer Data Platform API
ActionIQ enterprise customer data platform REST API for large enterprises to manage customer data, build audiences, orchestrate journeys, and activate personalized experiences across channels with real-time decisioning and AI-powered insights. Enables AI agents to manage audience segment creation and management for customer targeting automation, handle customer attribute and profile management for unified data automation, access journey orchestration and campaign trigger for marketing automation, retrieve data export and activation for downstream channel automation, manage real-time decisioning and offer management for personalization automation, handle data connector and source configuration for data ingestion automation, access analytics and measurement reporting for campaign performance automation, retrieve customer event and interaction tracking for behavioral data automation, manage AI model and prediction integration for propensity scoring automation, and integrate ActionIQ with Salesforce, Adobe, Google Cloud, Snowflake, and enterprise data stacks for end-to-end enterprise CDP workflow.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Enterprise CDP. GDPR, SOC2, ISO27001. API key/OAuth. US/EU. Customer data.
⚡ Reliability
Best When
A Fortune 500 enterprise wanting AI agents to automate customer audience management, journey orchestration, real-time personalization, and multi-channel activation through ActionIQ's enterprise CDP platform.
Avoid When
ENTERPRISE SALES PROCESS REQUIRED FOR API ACCESS: ActionIQ API access is provisioned through enterprise sales and implementation process; API documentation is not publicly available; automated integration implementation requires ActionIQ professional services engagement; automated self-service integration is not the intended use model. DATA MODEL IS ACCOUNT-SPECIFIC CONFIGURATION: ActionIQ data model (customer attributes, events, relationships) is configured during enterprise implementation for each client; automated API calls must use account-specific attribute names and data model; automated data model portability between ActionIQ accounts requires re-mapping. REAL-TIME DECISIONING LATENCY REQUIREMENTS: ActionIQ real-time decisioning API for personalization has strict latency requirements for inline use (sub-100ms for web personalization); automated inline personalization must benchmark API latency for target deployment; automated batch-time personalization decisions cannot meet real-time web experience requirements.
Use Cases
- • Building customer audiences from enterprise CDP targeting agents
- • Orchestrating customer journeys from marketing automation agents
- • Activating personalized experiences from real-time decisioning agents
- • Managing customer data from unified profile automation agents
Not For
- • SMB marketing (use HubSpot or Klaviyo for small business marketing)
- • Self-service product analytics (use Mixpanel or Amplitude for product teams)
- • Basic email marketing (use Mailchimp or Campaign Monitor)
Interface
Authentication
ActionIQ uses API key and OAuth for enterprise integrations. REST API with JSON. New York, New York HQ. Founded 2014 by Tasso Argyros and Nitay Joffe (Aster Data founders). Backed by Andreessen Horowitz, Sequoia Capital, Greenspring Associates ($100M+ raised). Products: Enterprise CDP, audience management, journey orchestration, real-time decisioning, AI insights. Integrations: Snowflake, Google Cloud, AWS, Salesforce, Adobe. GDPR. SOC2. ISO 27001. Serves Fortune 500 enterprises in retail, media, and financial services. Competes with Treasure Data, Adobe CDP, and Salesforce CDP.
Pricing
New York NY. a16z/Sequoia backed. Custom enterprise pricing. $500K+/year typical. Annual contract.
Agent Metadata
Known Gotchas
- ⚠ API DOCUMENTATION REQUIRES NDA/CUSTOMER ACCESS: ActionIQ API documentation is not publicly available; automated integration development requires ActionIQ customer portal or professional services engagement for API reference; automated integration without documentation requires reverse engineering from customer examples
- ⚠ ACCOUNT-SPECIFIC DATA MODEL FOR ALL API CALLS: ActionIQ data model is custom-configured per enterprise implementation; automated API calls must use account-specific entity names, attribute IDs, and event types; automated generic API calls using assumed attribute names fail for account-specific configurations
- ⚠ AUDIENCE EXPORT SCHEDULE vs REAL-TIME ACTIVATION: ActionIQ distinguishes scheduled audience export (batch) from real-time activation (streaming); automated multi-channel activation must use appropriate activation method per channel latency requirement; automated batch export for real-time personalization creates hours-delayed personalization instead of instant
- ⚠ PROFESSIONAL SERVICES DEPENDENCY FOR CONFIGURATION CHANGES: ActionIQ configuration changes (new data connectors, data model changes, new integrations) typically require ActionIQ professional services involvement; automated self-service configuration changes may not be supported; automated integration expecting self-service data model updates requires professional services engagement
- ⚠ JOURNEY TRIGGER LATENCY FOR DOWNSTREAM AUTOMATION: ActionIQ journey triggers to downstream systems (email ESP, ad platforms) have propagation latency depending on connector configuration; automated downstream automation expecting immediate journey trigger delivery must account for connector batch frequency; automated real-time journey trigger to batch connectors creates perception of delayed customer experience
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Scores are editorial opinions as of 2026-03-07.