Siloed customer data, no single view

One system your whole team can look at and agree on

Maestra Platform is the all-in-one retention marketing platform for ecommerce brands, so reporting and sending come from the same place, with a forward-deployed marketer keeping it honest.

Brands running on Maestra

Customer logoCustomer logoCustomer logoCustomer logoCustomer logoCustomer logo

The problem

Online and offline never reconcile

Brands with retail locations, dealer networks, or multiple storefronts often can't connect in-store behavior to online activity. That gap blocks loyalty programs and abandoned-cart flows from working the way they should.

What we hear from brands

a regional furniture retailer: the disconnect between online and in-store data limits cohesive customer journeys

a national tool and hardware retailer: fragmented in-store and e-commerce data prevents a true omnichannel view

a national surf and streetwear chain: in-store and digital behaviors can't be bridged

The new way

Segmentation without the spreadsheet

Instead of manual list pulls, Maestra lets you segment by customer, product, brand, order status, or purchase history directly in the platform. Historical tracking, calculated fields, and nested logic replace the manual stitching altogether.

Outcomes brands report

+111.7%

online order volume after unifying customer profiles

From a published case study

+56.6%

online revenue in the same period

From a published case study

200,000

"lost" customers found once data was centralized in one CDP

From a published case study

Customer proof

The website changed because the profile told it what to change

4.8 rating on G2
G2 High Performer, Personalization

Site content had no access to what the email program knew about a visitor. Once both read the same profile, the personalized version of the site earned nine percent more than the control group seeing the standard one.

The website changed because the profile told it what to change (Maestra case study)Read the full case study

9%

incremental revenue compared to the control group

How it works

Migration at any scale, same method

01

Map what exists

Every flow, segment, and integration currently running is inventoried before a single one is rebuilt.

02

Rebuild in parallel

Your marketer has moved brands of every size and runs the new setup next to the old one until it matches.

03

Go live in weeks

Two to four weeks is typical, three to seven for nine-figure complexity, with no gap in sending.

The platform

Built around orders, not around contacts

Generic marketing platforms treat a customer as a row with attributes. Here the model starts from carts, orders, and catalog, so questions about repeat purchase or category affinity are queries rather than projects.

Including

Real-time CDPSegmentationProduct recommendationsPrice personalizationLoyalty and promotions
The Maestra platform interface

Your forward-deployed marketer

The difference between advice and implementation

An agency sends recommendations and an invoice. Your marketer opens the platform and builds the thing, which is why the improvements that are technically easy but always postponed actually ship.

Work delivered in the platform, not as a deck

The postponed improvements get shipped

No separate services fee

Replace your stack

Migrating off does not mean starting over

The programs you have been refining for years are rebuilt, not discarded, and the history comes with them, so the reporting still reaches back past the switch.

ReplacesKlaviyoSendlaneOptimizelyBloomreachAttentive

The next step is smaller than a migration

Look at the platform, ask what your first month would look like, and decide after that.