Rockerbox’s first-party integrations enable advertisers to collect, unify, and activate their owned customer data,
providing a foundation for accurate marketing measurement that isn’t dependent on third-party platforms.
First-party data represents the direct relationship between your business and your customers. Unlike data from
advertising platforms, this information is owned by you and provides a source of truth for marketing measurement.
First-party data includes:
Integrations with tag management systems that simplify deployment and data collection. These connections provide flexible implementation options and ensure consistent tracking across your digital properties while maintaining governance through your existing tag management workflow.
Built-in integrations in Rockerbox’s JavaScript that automatically collect data from popular marketing and analytics tools. These integrations handle identity resolution, event tracking, and data synchronization without requiring additional development work. Examples include Meta Pixel, Segment, and Klaviyo integrations.
Specialized integrations for capturing conversion events and purchase data from your website or app. These integrations ensure accurate attribution by standardizing conversion data collection and timestamp synchronization across marketing channels.
Integrations with CDP platforms that centralize and unify customer data. These connections allow Rockerbox to enrich attribution models with comprehensive customer profiles and behavioral data, providing deeper insights into the customer journey.
Integrations focused on mobile app attribution and analytics. These partnerships enable accurate tracking of mobile app installs, in-app events, and cross-device user journeys, bridging the gap between web and mobile attribution.
Contact your Rockerbox representative to begin implementing first-party integrations. Our team will guide you
through the technical setup and best practices for your specific needs. We’ll help you:
Identify relevant integration types for your business