Data foundation
Start with data architecture, identity resolution and transformations. These topics explain what enters Braze, how customer profiles remain reliable, and how source-system changes are controlled.
Typical sequence: source mapping → identity → event taxonomy → transformation → validation → activation.
Channels and experiences
Connected Content, Content Cards, in-app messaging, web messaging, landing pages and WhatsApp address the customer-facing layer. Their implementation depends on the same audience, preference and data contracts underneath.
Typical sequence: eligibility → experience → destination → fallback → measurement.
Decisioning and experimentation
AI personalization, Predictive Suite, product recommendations, feature flags and experimentation form the decision layer. Keep decision rules explicit enough to test and explain before automation scales.
Typical sequence: hypothesis → signal → decision → treatment → control → outcome.
Commerce and lifecycle growth
Catalogs and ecommerce architecture turn behavioral data into product-aware journeys. The strongest programs connect product objects, customer state, lifecycle eligibility and measurable commercial outcomes.
Typical sequence: product data → behavior → journey → recommendation → conversion → retention.
Production operations
Every advanced capability needs QA, governance, observability and an owner. HISOLIT uses the same delivery discipline across implementation, integration engineering, migration, optimization and managed operations.
Release gate: data contract → edge cases → consent → rendering → measurement → rollback.