Overview

Leanplum’s Data Management enables app-first teams to collect, govern, and route engagement data from SDKs and APIs into analytics and data warehouses in real time. The module focuses on flexible ingestion (mobile SDKs, REST API, integrations), clean, readable event schemas, and bidirectional integrations so marketing and data teams can power campaigns, A/B tests and analysis without sacrificing data quality or engineering bandwidth. The product emphasizes realtime profiles, governed event control, and streaming/export options to common analytics and cloud storage systems.

Features and Capabilities

• Data Ingestion & SDKs: Real-time data collection via native SDKs (iOS, Android, Web/JS, React Native, Unity, Unreal) and a REST API so events from apps are captured with rich metadata for downstream use.
• Integrations & Bi-directional Connectors: Prebuilt/bidirectional integrations with common CDPs and analytics platforms allow easy data exchange to/from tools like Segment, mParticle, Amplitude and Mixpanel, reducing custom engineering work.
• Event Schema & Readability: A simple, easy-to-read event schema with rich metadata is provided so analysts and data scientists can use engagement data straightaway for reports, experiments and models.
• Data Feed & Exports: Continuous streaming or batch feeds of engagement activity to cloud storage or analytics systems (multiple supported file formats) to power offline analysis and attribution workflows.
• Realtime User Profiles: Realtime user profiles populated from events and attributes enable targeted campaigns, personalization, and robust segmentation for lifecycle marketing.
• Data Governance & Controls: Tools to blacklist deprecated events, manage high-volume trigger-only events, and give data/engineering teams governance controls to keep event taxonomies clean and costs predictable.
• Experimentation & Analytics Support: Data pipelines are built to support A/B testing and campaign analytics, preserving accuracy and confidence intervals needed for experiment analysis.
• Developer Documentation & SDK Support: Comprehensive docs and developer-focused tooling (API references, SDK guides) to streamline implementation and maintenance for product/dev teams.
• Use-case Orientation: Designed primarily for app-first companies needing mobile engagement personalization, liveops, churn mitigation, and revenue optimization via data-driven campaigns.
• Scalability & Cloud Compatibility: Streams data into customer-chosen cloud storage and analytics stacks so enterprise data teams can retain control of long-term storage and modeling.