Weak or manual product recommendations

Nobody should spend fifteen hours a week picking products

Maestra Platform does the picking, an all-in-one retention marketing platform for ecommerce brands, with a forward-deployed marketer watching what it picks.

The Maestra platform interface

+15%

growth in website conversion rate

Brands running on Maestra

Blue Q logoCustomer logoCustomer logoCustomer logoCustomer logoSvaha USA logo

The problem

A big catalog is supposed to be an advantage, not a maze

When a store carries thousands of SKUs across categories, customers can end up clicking three or four levels deep just to find something relevant. Recommendation engines built for smaller catalogs choke on that complexity and default to showing whatever is most popular, not what fits.

What we hear from brands

a craft-supplies retailer says customers must go three or four levels deep to find products across a vast catalog

an art-supplies retailer reports poor product recommendations due to a huge SKU catalogue

an apparel brand with a large catalog has underperforming recommendation engines and inadequate personalization for mixed subscriber and one-time customers

The new way

Matching that understands color, size, and material, not just category

Instead of grouping products by broad category, Maestra reads full product attributes so a red bikini top surfaces its matching bottom in the same size, material, and cut. Out-of-stock sizes are filtered out automatically, so customers never hit a dead end.

+8.7%

growth in AOV

From a published case study

+14%

in conversion rate

From a published case study

Customer proof

Enlightened Equipment is taking the same setup to a second brand

4.8 rating on G2
G2 High Performer, Customer Data Platform

The clearest verdict on a recommendation engine is whether the team wants it again. Here the plan is to run the second brand on it too.

+8.7%

growth in order value from recommendations

I’m very happy with the product overall, and we’re even considering applying Maestra to our second brand as a 2025 project.
Will Palumbo, Director of Marketing at Enlightened Equipment

How it works

Why this migration does not stall

01

One owner

A named marketer owns the move end to end instead of a ticket queue that passes it around.

02

Specialists on call

Deliverability and data specialists are pulled in by your marketer when a step needs them, without you making the introduction.

03

Momentum after launch

The improvements that are easy to postpone keep getting shipped, because someone whose job it is keeps pushing them.

The platform

Reporting that comes from the same place as the sending

Because campaigns, site behavior, and orders live in one system, the numbers reconcile by construction. There is no export, no join, and no argument about which tool is right.

Reporting and analyticsReal-time CDPOmnichannel journey builderSegmentation
The Maestra platform interface

Your forward-deployed marketer

Included in the subscription, with no separate fee

The service is part of what you already pay for. There is no professional-services line, no hourly rate, and no tier where the help gets better.

Included with no additional fees

Same service regardless of account size

No hourly billing for marketing work

Replace your stack

Agency plus point tools, priced honestly

The common setup is several subscriptions and a retainer for the people who operate them. Here the operating is included, which changes what the comparison is actually between.

ReplacesKlaviyoAttentiveRebuyNostoYotpo

Find out what a marketer would do first

Every account starts with a roadmap. Asking what would be on yours costs nothing and tells you a lot.