Purpose of this Guide
This guide explains how to set up tracking and integrations in OneLence. By completing the steps in this document, you will enable OneLence to:
- capture visitor journeys across your marketing surfaces
- record meaningful product and revenue events
- enrich signals with attribution context
- generate decision-ready growth intelligence
Unlike traditional analytics tools that focus on reporting historical metrics, OneLence is designed to help teams understand which marketing signals drive real business outcomes.
Who This Guide Is For
This documentation is intended for teams responsible for implementing or maintaining growth tracking infrastructure, including:
- SaaS founders and product leaders configuring their first tracking architecture
- growth engineers integrating marketing attribution with backend systems
- technical marketers responsible for campaign signal quality
- product and data teams designing conversion measurement strategies
Basic familiarity with web applications, event tracking concepts, or backend integrations is helpful but not required for the Quick Start sections.
Integration Paths at a Glance
OneLence supports multiple tracking approaches depending on your product architecture and implementation needs.
Browser SDK Tracking
Used to capture visitor behaviour, marketing attribution parameters, and funnel interactions directly in web applications or marketing sites.
Typical use cases include:
- landing page visits
- onboarding flows
- product interaction signals
- campaign attribution capture
Server-Side Event Ingestion
Used to send reliable business events from backend systems or third-party services.
Typical use cases include:
- subscription activations
- payment confirmations
- lifecycle state changes
- webhook-triggered conversions
Hybrid Tracking Architecture (Recommended)
Combines browser tracking and server-side ingestion to create a continuous attribution chain from first marketing touchpoint to confirmed revenue events.
This approach provides the most reliable foundation for decision intelligence and is recommended for most SaaS and ecommerce environments.