Siloed customer data, no single view

Multi-brand, multi-region, one customer view

Maestra Platform unifies data across brands, regions, and languages into a single profile, and a forward-deployed marketer manages it as one retention marketing operation instead of several disconnected ones.

Brands running on Maestra

Customer logoCustomer logoCustomer logoCustomer logoCustomer logoCustomer logo

The problem

Growth stalls when data stays fragmented

Every disconnected tool adds friction: duplicate messaging, missed revenue opportunities, and customer experiences that feel inconsistent brand to brand. The fix is one place where the data actually lives, not another point solution.

What we hear from brands

a cannabis beverage brand: separate storefronts create fragmented customer data and duplicate messaging

a supplements brand: data is siloed in the email platform and not activated effectively, leading to missed revenue opportunities

a pre-owned luxury goods retailer: disjointed customer data causes inconsistent experiences, and multiple email platforms create messaging conflicts

The new way

One profile, updated in real time

Maestra unifies customer data from every channel into a single, real-time profile, no extra budget or engineering help required. Every action a customer takes updates that profile instantly, and every campaign can draw on it.

Outcomes brands report

8.6x

campaign-driven revenue growth YoY after consolidating two regional accounts

From a published case study

1.8% → 6.8%

share of total revenue attributed to campaigns

From a published case study

2.2x

total US and EU revenue growth YoY from one unified platform

From a published case study

Customer proof

Coolibar wanted its database to answer questions, not raise them

4.8 rating on G2
G2 High Performer, Customer Data Platform

Coolibar's CRM team wanted more flexible segmentation and easier database analysis than its old platform allowed. Once Coolibar's data and flows moved over, campaign-driven revenue climbed and the team gained the launch help it had lacked.

I finally have the flexible flow builder, launch help, and strategic support we were missing with Klaviyo.
Nikita Zabrodin, CRM Lead at Coolibar

33.6%

campaign-driven revenue increase

How it works

One marketer, one plan, one smooth switch

01

Sign off on the roadmap

Your forward-deployed marketer maps the migration to your goals, then asks for your approval before touching anything.

02

Everything moves without a gap

Your old stack remains active while data, segments, and campaigns get rebuilt, so there is no downtime for your team or your customers.

03

Weeks, not months, to go live

Growing brands land in two to four weeks. Nine-figure, more complex accounts take three to seven weeks.

The platform

Ten modules that were never meant to be separate tools

Site personalization, recommendations, email, SMS, and the rest of Maestra's modules were built to share one commerce-specific data model, not bolted together after the fact. That foundation is what supports 2M RPM at under 300 milliseconds across the platform.

Site personalizationProduct recommendationsEmail, SMS and MMSLoyalty, promo and referralsPaid media optimization
The Maestra platform interface

Your forward-deployed marketer

One marketer, four touchpoints a month, zero extra cost

Your forward-deployed marketer is not an upsell. Strategy calls, migration work, flow building, and testing are bundled into every subscription, with four meetings a month as the standard cadence.

4 meetings a month versus 1 elsewhere

Included with every subscription, no extra fee

Done-for-you strategy, migration, and flows

Replace your stack

Segmentation, messaging, and loyalty, finally in sync

Tools like Segment can handle segmentation, but activating that segment across email, SMS, and loyalty still requires other systems. Maestra keeps segmentation and activation in the same platform, so a segment change shows up everywhere instantly.

ReplacesSegmentKlaviyoYotpo

Not ready to switch? Start by looking around

See the modules, the data model, and the support model before you talk to anyone.