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BrazeAI Decisioning Studio

by Braze@brazeNew York CityNo ratings yet

AI decisioning agents that choose message, offer, channel, and timing for each customer

Visit braze.com
Tool type
AI decisioning agents for 1:1 marketing
Made for
Marketing teams running cross-channel customer journeys
Runs on
Braze dashboard (Go) and Braze-connected data stack (Pro)
Go runs inside the Braze Customer Engagement Platform; Pro integrates as a decisioning layer across martech stacks, per the FAQ.
Last checked
29 Oct 2026
6 product sources

What it does

BrazeAI Decisioning Studio takes in first-party and engagement data from a customer's warehouse, CDP, or the Braze platform, along with a KPI you define such as revenue, profit, or lifetime value, and produces 1:1 decisions about which channel, message, creative, offer, timing, day, and frequency to use for each individual customer. It is sold in two forms: Decisioning Studio Go, a self-serve option that runs inside the Braze dashboard, and Decisioning Studio Pro, a fully configurable version that works with any data and KPI.

Marketing teams use it to replace fixed A/B tests and segment-based rules with agents that run continuous, autonomous experiments and apply winning variants as soon as they emerge. Results are reported as uplift against a random control, holdout, or business-as-usual baseline, and each decision can be traced to the customer characteristics behind it. Braze also offers a Field Data Scientist team to help prepare data.

Decisioning Studio suits marketing teams already running cross-channel programs who want to optimize against a business metric rather than clicks. Go requires the Braze Customer Engagement Platform and Action Credits, and Braze states that Decisioning Studio Go is one of the features drawn from that credit pool. Pro can act as a decisioning layer in other martech stacks. Pricing is not published for either edition, and the product is positioned for teams with enough data volume to learn from.

What it can do

  • Makes 1:1 decisions on channel, message, creative, offer, timing, day, and frequency per customer
  • Runs continuous autonomous experiments and applies winners without manual rollout
  • Optimizes any custom business KPI such as revenue, profit, or customer lifetime value
  • Measures uplift against a random control, holdout, or business-as-usual baseline
  • Provides traceable customer-level reasoning for each decision
  • Go option launches decisioning agents inside the Braze dashboard with no technical team needed

Works with

  • Braze Customer Engagement Platform (required for Decisioning Studio Go)
  • Any warehouse or CDP (Decisioning Studio Pro)

Before you choose

  • Requires enough customer data and volume for the agents to learn; the product page notes they learn even when data is limited or imperfect, but results depend on data quality.
  • Go requires the Braze Customer Engagement Platform and Action Credits; costs scale with Braze's Monthly Active User and credit model rather than a published Decisioning Studio price.
  • Pro is positioned for high-stakes journeys and needs setup and data preparation, with support from Braze's Field Data Scientists.

Listed under

Get started

Demo request is the primary path on the product page; Go can be launched from the Braze get-started page.

  1. Choose Decisioning Studio Go (self-serve, inside the Braze dashboard) or Pro (fully configurable, works with any data).
  2. Connect your first-party data sources, such as Braze engagement data for Go or your warehouse or CDP for Pro.
  3. Define the KPI to optimize and the guardrails or allowed options the agents may test, then launch and monitor uplift against a holdout or control.
Request a demo or get started

Plans and prices

Braze states that Action Credits work across channels and certain BrazeAI products, including BrazeAI Decisioning Studio Go. Confirm Decisioning Studio pricing and credit consumption with Braze. Braze does not offer a free plan; a free trial is available.

We couldn’t find published prices for BrazeAI Decisioning Studio. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

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Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.