Braze Currents: Complete Guide
Quick Summary:
Currents streams raw, event-level Braze data (sends, opens, clicks, custom events) into your own data warehouse or storage destination in near real time, enabling analysis and cross-system joins beyond what Braze's native dashboard provides.
What Is Braze Currents?
Currents is Braze's data export and streaming capability, continuously pushing granular, event-level data out of Braze into a destination you control -- a data warehouse, cloud storage, or analytics tool. Where the standard Braze dashboard gives you pre-built, aggregated reporting, Currents gives you the raw data itself, enabling custom analysis, cross-system data joins, and attribution modeling that a single platform's native reporting genuinely can't support alone. For teams already investing in a centralized data warehouse as their single source of truth, Currents is often the piece that makes Braze engagement data a genuine part of that broader picture, rather than an isolated silo only visible within Braze's own interface.
⚠️ Currents Requires Engineering Involvement
Unlike most Braze features built for marketer self-service, setting up Currents and building a usable downstream pipeline typically requires data engineering resources. Plan for this as a genuine technical project, not a quick marketing-team configuration task.
Common Currents Destinations
| Destination Type | Example Use Case |
|---|---|
| Cloud Data Warehouse | Unified customer analytics joining Braze data with other business data |
| Cloud Storage (e.g. S3) | Long-term raw event archival, custom downstream processing |
| Analytics/BI Tools | Custom dashboards and reporting beyond Braze's native analytics |
Currents vs Native Dashboard Analytics
Braze's built-in dashboard reporting is genuinely useful for standard campaign and Canvas performance review, but it has real limits: it can't be joined with data living in other systems, and it's constrained to the specific reports Braze has built. Currents removes both limitations by giving you the underlying event data directly -- at the cost of needing your own infrastructure and technical resources to actually use it effectively.
Common Currents Use Cases
Unified Customer Analytics: Combining Braze engagement data with data from other systems (e-commerce, support, product usage) in a single warehouse, giving analytics teams a complete customer picture no single platform's native reporting could provide alone.
Marketing Attribution: Understanding how Braze messaging influences downstream outcomes (purchases, retention, conversion) requires joining Braze events with business outcome data, which native Braze reporting isn't built to do.
Custom Dashboards for Non-Marketing Stakeholders: Building tailored reporting views for finance, executive, or product teams using the organization's existing BI tooling, rather than requiring every stakeholder to learn Braze's dashboard.
Machine Learning Feature Engineering: Using granular Braze engagement history as input features for predictive models (churn risk, propensity to purchase) built outside of Braze's native capability.
Data Schema and Governance Considerations
Working with Currents data effectively requires some upfront thinking about how the exported data will actually be structured and governed once it lands in your systems.
Schema stability: Understand which fields are stable versus which might change as Braze evolves its platform, and build downstream pipelines with some tolerance for schema evolution rather than brittle, exact-match assumptions.
Data retention and privacy: Once Braze data lives in your own warehouse, your organization's own data retention and privacy policies apply to it -- this is a genuine responsibility shift worth planning for, not an afterthought once data is already flowing.
Access control: Exported Braze data can contain sensitive engagement and behavioral information -- applying appropriate access controls in the destination system matters just as much as it does within Braze itself.
How to Get Started
Identify a specific, high-value use case (like unified customer analytics or attribution modeling) rather than exporting data without a clear downstream purpose.
Confirm your Braze plan includes Currents, and review current supported destinations.
Involve data engineering to configure the destination and build the pipeline that will actually consume the exported data.
Validate data completeness and accuracy in the destination before building critical reporting or models on top of it.
Document the schema and event definitions for whoever will be querying this data downstream, since raw event data lacks the friendly labeling of dashboard reports.
A Real-World Example
An e-commerce company wants to understand how Braze push notification engagement actually correlates with purchase behavior tracked in their separate order management system -- a question the Braze dashboard alone can't answer, since it has no visibility into external purchase data. Currents streams Braze engagement events into the same data warehouse where order data already lives, letting the analytics team build a join between the two datasets and finally answer whether push engagement genuinely predicts purchase likelihood, rather than relying on assumption.
Once this join exists, the analysis extends further than the original question. The team discovers that users who engage with push notifications within the first week of installing the app have a meaningfully higher 90-day retention rate than those who don't -- a finding that reshapes their onboarding Canvas strategy toward driving early push engagement specifically, rather than treating all engagement as equally valuable. This kind of downstream insight is exactly the value Currents unlocks that native dashboard reporting, scoped only to Braze's own data, simply couldn't have surfaced on its own.
💡 Pro Tip
Start Currents with a single, well-defined use case and a committed downstream consumer (a specific analyst or team ready to use the data) rather than exporting broadly and hoping value emerges later -- unused exported data sitting in a warehouse with no one querying it doesn't justify the engineering investment required to set it up.
Frequently Asked Questions
What is Braze Currents?
Currents is Braze's data export and streaming capability, letting you continuously export event-level data (message sends, opens, clicks, custom events) out of Braze into an external data warehouse, analytics tool, or storage destination in near real time.
What\'s the difference between Currents and the standard Braze dashboard analytics?
Dashboard analytics give you aggregated, pre-built reporting within Braze itself; Currents gives you raw, event-level data exported to your own systems, letting you build custom analysis, join Braze data with other business data, or feed it into a data warehouse for broader analytics work.
What destinations does Currents support?
Common destinations include major cloud data warehouses and storage platforms (like Snowflake, BigQuery, Redshift, S3), as well as select analytics and business intelligence tool integrations -- the specific supported list is worth confirming directly given how integration ecosystems evolve.
Is Currents data exported in real time, or on a batch schedule?
Currents is built for near-real-time, continuous streaming rather than periodic batch exports, which is a genuine advantage for use cases needing current data rather than yesterday's snapshot.
What kind of events does Currents actually export?
Message-level events (sends, opens, clicks, bounces, unsubscribes) and custom events you've defined in Braze can be exported, giving comprehensive visibility into both platform-generated and business-specific event data.
Does Currents require technical/engineering resources to set up?
Yes, meaningfully so -- configuring a Currents destination and building the downstream pipeline to actually use the exported data typically requires data engineering involvement, unlike simpler no-code Braze features.
Can Currents data be joined with data from other systems, like a CRM or e-commerce platform?
Yes, this is one of the primary reasons teams use Currents -- once Braze event data lives in your own data warehouse, it can be joined with any other data source living there, enabling analysis Braze's native dashboard can't provide on its own.
Does using Currents affect Braze\'s own in-platform reporting?
No, Currents is an additional export capability running alongside standard Braze analytics -- it doesn't replace or affect native dashboard reporting.
Can Currents help with attribution modeling across multiple marketing channels?
Yes, having granular Braze event data in your own warehouse, joinable with other channel data, is often a prerequisite for building genuinely cross-channel attribution models that a single platform's native reporting can't provide alone.
Is there additional cost associated with using Currents?
Currents availability and any associated cost depend on your Braze plan and data volume -- worth confirming current pricing directly rather than assuming it's included by default in all tiers.
Can Currents data help debug why a specific user didn\'t receive an expected message?
Yes, granular event-level data is genuinely useful for this kind of investigation, letting you trace exactly what happened (or didn't happen) for a specific user's message delivery, beyond what aggregated dashboard reporting would show.
What\'s a realistic first use case for a team just starting with Currents?
Feeding Braze engagement data into an existing data warehouse for unified customer analytics is a common, high-value starting point -- rather than attempting every possible use case (attribution, custom dashboards, ML feature engineering) simultaneously.
Can Currents export historical data, or only events going forward from setup?
Currents is primarily designed for ongoing, forward-looking streaming rather than backfilling extensive historical data -- if you need historical event data, this typically requires a separate export request or process rather than relying on Currents alone.
Does Currents impact app or message send performance in any way?
No, Currents operates as a separate data export pipeline running independently of message sending and app-facing SDK operations -- it doesn't add latency or affect the end-user experience.