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Data + integrations

MarTech integrations that connect data to customer action.

Integration work should be tied to a customer-engagement use case, with clear ownership for the data contract, error path and downstream action.

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HISOLIT

Technical MarTech delivery across strategy, data, journeys, QA and production operations.

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High-intent paths.

Global MarTech integration support across Braze, CRM, CDP, warehouse, analytics and API-driven customer-data activation.

Braze + Segment

Connect behavioral and profile data to Braze activation patterns.

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Hightouch + Braze

Activate warehouse data into engagement systems with explicit data contracts.

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Snowflake + engagement

Design warehouse-to-engagement flows around use cases, identity and freshness.

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Braze + Databricks

Connect Databricks audiences and events to Braze with identity, governance and QA.

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APIs + webhooks

Build event-driven integration patterns with validation and error handling.

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CRM synchronization

Coordinate CRM and lifecycle systems around shared identity and ownership.

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Integration QA

Validate payloads, events, fallbacks and downstream message behavior.

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Related resources

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Decision framework

Integration architecture that keeps customer data usable.

Connected MarTech systems need explicit ownership, data contracts, identity rules, error handling and observability.

CDP & warehouse activation

Move trusted audiences and events from source systems into engagement platforms with clear contracts.

API & webhook orchestration

Define payloads, retries, ownership and downstream behavior before an integration becomes mission-critical.

CRM & reporting

Align customer records, lifecycle states and reporting outputs across CRM and engagement systems.

Integration discipline

Move data without losing meaning.

Integration quality depends on the data contract and operating ownership as much as the connection itself.

Source systems

Identify the warehouse, CDP, CRM, ecommerce or application source for each profile field, event and audience required for engagement.

Contracts and identity

Define schema, identifiers, freshness, ownership, consent, retries and failure behavior before critical activation flows depend on them.

Activation and observability

Validate the downstream audience, journey or message behavior and document how teams monitor failures, lag or unexpected data changes.

Integration patterns

Go deeper on the data paths behind Braze.

Focused implementation notes for common CDP, warehouse and behavioral data activation patterns.