Weak or manual product recommendations

The engine can run itself, and you can still overrule it

Maestra Platform gives merchandisers the override, the all-in-one retention marketing platform for ecommerce brands, with a forward-deployed marketer on the setup.

Brands running on Maestra

Customer logoBlue Q logoCustomer logoCustomer logoCustomer logoCustomer 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

Recommendations powered by full-funnel data, not just page views

Maestra's recommendation engines run on real-time CDP data: browsing, demographics, and purchase history combine to update suggestions instantly, even for anonymous visitors. Every click sharpens the next recommendation, so the picks a returning customer sees reflect everything they've done, not just their last session.

Outcomes brands report

15

hours saved weekly on manual product curation

From the Selkirk Sport case study

+22%

revenue growth on the same budget

From a published case study

20x

lift in new subscriber volume

From a published case study

Customer proof

Third-party recommendation apps kept failing quietly

4.8 rating on G2
G2 High Performer, Customer Data Platform

The bolted-on widgets broke whenever the catalog moved, and nobody noticed until conversion dipped. Native recommendations across the key pages lifted the site conversion rate by fifteen percent.

+15%

growth in website conversion rate

How it works

Access, approvals, and not much else from you

01

Hand over the keys

Read access to the tools you run today is enough for your marketer to see what has to move.

02

Answer a few questions

A handful of decisions only you can make, and help with warming the sending domains, is the whole of your involvement.

03

Approve and go

Everything else is built, tested, and launched for you, which is why brands describe the switch as the smoothest one they have run.

The platform

Real time means the visit you are in right now

Profiles update as the shopper moves, at 2M requests per minute with responses under 300 milliseconds, so a recommendation or a banner reacts to what happened seconds ago instead of what a nightly sync knew this morning.

Including

Real-time CDPSite personalizationProduct recommendationsEmail, SMS and MMSMobile pushMaestra AI
The Maestra platform interface

Your forward-deployed marketer

Named, and there next year too

You get one marketer by name who onboards you and stays as the account grows, bringing in deliverability or data specialists when a task needs them. Nobody hands your account to a queue after go-live.

A named marketer, not a pooled team

Specialists pulled in as the work needs them

Stays with the account long-term

Replace your stack

Consolidation your customers can feel

Fewer vendors is an internal benefit. The external one is that the email, the site, and the rewards finally tell the same story to the same person on the same day.

ReplacesKlaviyoYotpoNostoAttentiveRebuy

Still comparing options?

Fair. The site lays out what is included and what it replaces, so the comparison can be made without a call.