Missing or clunky loyalty program

Stop paying for loyalty, email, and site tools that don't talk

Maestra Platform is an all-in-one retention marketing platform plus a forward-deployed marketer, so ecommerce brands can run loyalty, messaging, and on-site personalization from one place.

The Maestra platform interface

+26%

total sales after consolidating loyalty, email, and SMS

Brands running on Maestra

Customer logoCustomer logoSvaha USA logoCustomer logoCustomer logoCustomer logo

The problem

A rewards platform that stopped rewarding you

Vendor consolidation, sunset announcements, and account teams that stop responding leave brands rebuilding on a deadline they didn't choose. The tool that was supposed to simplify retention becomes one more fire to put out before peak season.

What we hear from brands

high platform costs and declining support from our account team

our loyalty/referral program stalled while disconnected tools piled up cost and complexity

the vendor sunset the product mid-quarter, right before our busiest season

The new way

A dedicated marketer who ships the program

Every Maestra account includes a forward-deployed marketer who migrates loyalty data, rebuilds flows, and runs the weekly strategy calls that actually turn ideas into launches. Standard migrations run two to four weeks, and billing starts only once the switch is complete.

Outcomes brands report

+14%

average order value

From the Svaha USA case study

64%

reduction in marketing stack costs

From a published case study

Customer proof

I Love Linen automates what used to be manual, every week

4.8 rating on G2
G2 High Performer, Customer Data Platform

After moving from Yotpo, I Love Linen's team stopped hand-editing every promotional banner, subject line, and SMS for each sale. Dynamic content blocks now update all three automatically from one entry point, freeing up hours that used to disappear into repetitive edits.

Our Maestra marketer has been ASTOUNDING with his onboarding service. He is fast, solutions oriented, helpful and it's made the transition so much easier.
Lauren Roe, Founder and Creative Director, I Love Linen

5 hrs

of manual work saved weekly

How it works

From first call to fully live, without the downtime

01

Grant access, not headcount

You are not staffing a migration project. You are granting access and approving a plan your Maestra marketer builds around your goals.

02

Old tools run until the new ones are ready

There is no cutover cliff. Your current stack stays operational the entire time setup is happening in the background.

03

Timelines scale with complexity

Two to four weeks is typical for a growing brand. Complex, nine-figure operations run three to seven weeks, still with the same 99%-handled-for-you model.

The platform

Ten products, one customer profile

Maestra's ten modules all pull from the same commerce-specific data model, so recommendations, journeys, and loyalty logic all react to the same real-time customer profile. Under the hood, the platform runs at 2M RPM with under 300ms processing.

Real-time CDPOmnichannel journey builderProduct recommendationsLoyalty, promo and referralsMaestra AI
The Maestra platform interface

Your forward-deployed marketer

Meet the forward-deployed marketer behind your account

Every Maestra subscription includes a dedicated forward-deployed marketer who works your account like it is the only one on their desk. That is realistic because they never carry more than 15 accounts, compared to the 60 or more common elsewhere.

Fewer than 15 accounts per marketer, versus 60+ industry-wide

5-minute response time versus 72 hours elsewhere

4 strategy meetings a month instead of 1

Replace your stack

Beyond the agency retainer, beyond the point tools

Some brands run an agency retainer on top of a stack of point solutions just to keep campaigns moving. Maestra folds the platform and the hands-on execution into one relationship, so you are not paying separately for tools and for the people who operate them.

ReplacesKlaviyoAttentiveYotpoNosto

See what Maestra looks like on your data

Bring your current stack and your goals. We will show you where Maestra fits and what changes first.