Services

The work that powers the models

A model only earns its keep once the data reaches it, the decision reaches Braze, and somebody can prove it worked. These 17 services are that work: the pipes, the measurement, the foundations underneath and the advice around it. Each is sellable on its own, and each one makes the models on the loop worth more.

How it stacks

Five layers, in the order they matter

The pipes that move data between your warehouse and Braze, the measurement that proves what changed, the emerging work that extends it, the clean data foundations underneath, and the advisory that keeps the programme pointed at the right problem.

Move the dataMeasure itExtend itGround itSteer it

ComplexityLowModerateHighAdvanced

Move the data

Platform & Integration

The pipes between your warehouse and Braze: connecting your data in, streaming events back out, and reporting across both. The integration layer, not the models.

Data Warehouse Integration

Connects your data warehouse to Braze so model outputs, segments and attributes flow in automatically. Supports Snowflake, BigQuery (GCP), Microsoft Fabric and Redshift via Braze Cloud Data Ingestion.

2-4 weeksBuild + managedHigh complexity

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Event Streaming (Currents)

Streams Braze engagement and conversion events out to your warehouse in near real time via Braze Currents, so campaign performance lands next to your first-party data.

2-3 weeksBuild + managedHigh complexity

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Reporting Platform

A reporting and dashboard layer over your warehouse and Braze data: campaign performance, segment movement, model impact and holdout lift, in one place your team can self-serve.

4-6 weeksBuild + managedAdvanced complexity

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Measure it

Measurement & Insight

Analytical services that extend measurement beyond the models: portfolio-level modelling, a standing test-and-learn practice, and board-ready storytelling.

Marketing Mix Modelling

Econometric modelling of how spend across channels drives sales, so you can plan budget at the portfolio level. The macro complement to campaign-level incrementality.

6-10 weeksBuild + managedAdvanced complexity

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Experimentation Programme

A standing test-and-learn practice: a roadmap of experiments, holdout discipline, powered designs and a shared readout, so learning compounds instead of happening by accident.

3-4 weeks setup + ongoingOngoingHigh complexity

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Executive Reporting & Storytelling

Turns the reporting layer into a board-ready narrative: the few metrics that matter, the story behind them, and a repeatable pack that saves the team a scramble each month.

3-5 weeks + ongoingOngoingHigh complexity

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Extend it

AI & Emerging

Forward-looking data and tech: ask-your-data analytics, real-time decisioning and privacy-safe data collaboration.

Natural-language Analytics

An AI assistant over your modelled warehouse: ask questions in plain language and get governed, accurate answers, so the team self-serves without waiting on an analyst.

4-6 weeksBuild + managedHigh complexity

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Real-time Decisioning

Extends Next-Best-Action to the live moment: decisions computed on streaming events and served in-session, so the best action fires while the customer is still there.

8-12 weeksOngoingAdvanced complexity

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Data Clean Room & Partnerships

Sets up privacy-safe data collaboration with retail-media or brand partners in a clean room, so you enrich and measure against partner data without either side exposing raw records.

6-10 weeksBuild + managedAdvanced complexity

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Ground it

Data Foundations

The clean, resolved, well-instrumented data layer the models are built on. Everything upstream of activation.

Data engineering

Warehouse Foundations

Builds the modelled customer data layer in your warehouse (dbt-style): clean, tested, documented tables at customer grain that every model and sync reads from.

6-10 weeksBuild + managedAdvanced complexity

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Data engineering

Identity Resolution

Stitches customer records across channels, devices and touchpoints into a single resolved identity, so every model and message keys off one person, not many fragments.

6-10 weeksBuild + managedAdvanced complexity

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Instrumentation

Event Tracking & Collection

Designs a tracking plan and implements first-party event collection from web and app, so engagement, session and interaction signals actually flow to the warehouse and Braze.

3-5 weeksBuild + managedHigh complexity

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Consent & Preference Management

Builds the consent capture and preference centre that Reachability measures: channel opt-ins, granular preferences and a clean consent state synced to Braze.

3-5 weeksBuild + managedHigh complexity

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Data Quality & Observability

Monitors freshness, volume and validity across the pipes into Braze, so a broken feed is caught before it reaches a customer, not after.

2-4 weeks + ongoingOngoingHigh complexity

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Steer it

Advisory & Enablement

The diagnostics and enablement that frame the work: a workspace audit against best practice, a costed maturity roadmap, and the training that lets your team own it.

Workspace Audit

A structured review of your existing Braze workspace against best practice: data integration, Canvas architecture, segmentation, deliverability, consent and governance.

1-2 weeksOne-offLow complexity

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Data Maturity Roadmap

Assesses where your data and activation sit today and maps the path forward: what to switch on now, what to build as history accrues, and where the value compounds.

2-3 weeksOne-offModerate complexity

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Training & Enablement

Upskills your team to run the programme themselves: Braze craft, how to read and act on the model outputs, and the test-and-learn habits that keep it honest.

1-3 weeksOne-offLow complexity

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Marketers first

We come at CRM from the campaign in, not the warehouse out. The output is a decision a planner can act on.

Every model shows its working, so your team can read the logic and stand behind it in a meeting.

Built for Braze

A CX platform specialism, not one integration among many. Models are designed backwards from the campaign.

Never from scratch

A proven, best-practice codebase per platform. Your build starts from something already running in production.

Services and models are bought together more often than not. Our Offering shows how they fit: the models arranged around the Intelligence Loop, with this supporting work beneath it.

See Our Offering