Zeotap

Simplifies audience creation and activation across multiple advertising and marketing platforms.

Automates personalized multi-channel customer journeys based on real-time triggers and behavioral data.

Manages email subscriber lists and segmentation for campaign delivery.

Enables activation of first-party customer data across advertising and marketing channels.

Controls message frequency and cap limits to prevent customer fatigue.

Designs and executes coordinated marketing campaigns across email, SMS, push, and web.

Makes instant personalization decisions at point of interaction with low-latency API responses.

Tests messaging variations and audience splits to optimize campaign performance.

Calculates multi-touch attribution across channels to understand marketing effectiveness.

Provides demographic, psychographic, and behavioral insights about customer segments.

Analyzes customer interactions and engagement patterns across digital properties.

Identifies at-risk customers likely to churn using machine learning algorithms.

Provides unified customer insights across desktop, mobile, and other devices without third-party cookies.

Calculates and predicts customer lifetime value to prioritize high-value segments.

Predicts customer behavior, churn, and lifetime value using machine learning models.

Scores customers based on likelihood to purchase, convert, or respond to offers.

Visualizes customer data metrics and campaign performance in customizable dashboards.

Tracks all user actions and data changes for compliance and security auditing.

Manages customer consent preferences across marketing channels and data usage.

Encrypts customer data in transit and at rest using industry-standard algorithms.

Implements data quality, lineage, and catalog management for enterprise data governance.

Manages consent, data governance, and regulatory compliance across GDPR, CCPA, and other frameworks.

Manages exclusion lists to prevent messaging to opted-out or inactive customers.

Supports scheduled data imports and exports for large-scale batch operations.

Creates custom customer attributes and properties based on business logic.

Connects custom and proprietary data sources through APIs and batch integrations.

Automatically assesses and monitors the quality and completeness of customer data.

Consolidates customer data from multiple sources into a single customer view.

Matches customer identities across devices and touchpoints using deterministic and probabilistic methods.

Resolves mobile identifiers including IDFA and AAID for cross-device tracking.

Handles customer data across multiple brands and business units within a single instance.

Ingests and processes customer events in real-time with millisecond latency.