By Scott NybergYou will learn how to separate app instrumentation from campaign configuration so marketers can update experiences without app releases. The piece also explains how to maintain consistent identity resolution and dynamic native rendering across iOS, Android, React Native, and Flutter using server-side decisioning.
The team built a unified architecture to deliver real-time mobile personalization across iOS, Android, React Native, and Flutter. They solved platform fragmentation by establishing consistent schemas and event semantics while allowing each technology stack to use its native rendering capabilities. A bridge layer enables React Native and Flutter to access native APIs through iOS and Android, preserving a single SDK interface for developers.
Developers define stable content zones and register approved native components once. Marketers then configure templates, targeting, and component selection through the Salesforce user interface. The platform serves this metadata via a global CDN, and the mobile SDK applies the rules to dynamically render the correct native element without requiring new app builds.
Real-time identity resolution relies on Data 360 to merge anonymous web, email, and mobile interactions into a single profile during authentication. Decisioning runs entirely on the server, so the SDK only receives final experience instructions rather than raw customer data. Teams can validate targeting and layout using a QR code preview flow that injects live profile attributes into the simulator before launch.
By Scott NybergReaders will learn how the engineering team partitions and indexes Data 360 data graphs to resolve complex customer identities while maintaining strict data isolation. You will also see the architectural tradeoffs used to achieve sub-two-hundred millisecond response times for Agentforce interactions.
The engineering team built Data 360 data graphs to solve the context gap for Agentforce by unifying fragmented customer data across accounts, entitlements, and products. Instead of running multiple queries at runtime, the system pre-aggregates relationships into cohesive data products that agents can call directly.
Resolving customer identity required a partitioned architecture that keeps the broader identity graph separate from customer success views. This ensures that prospect data and information belonging to different tenants remain strictly isolated while still supporting complex many-to-many relationships.
Performance was optimized by analyzing access patterns, designing smaller multi-graphs, and building targeted indices to avoid full table scans. The team shifted from static data models to flexible structures that support semantic search and unpredictable agent queries, ultimately achieving median response times under two hundred milliseconds without dedicated autoscaling infrastructure.