Weak or manual product recommendations
The same smart recommendation, whether it's on your site or in an email
For ecommerce brands, Maestra Platform pairs a marketing personalization platform with a dedicated forward-deployed marketer so product picks stay consistent across web, email, and SMS instead of breaking channel to channel.
Brands running on Maestra
The problem
Your recommendation widget doesn't know what it's looking at
Basic "you might also like" widgets show the same popular items to everyone, regardless of what a customer is actually viewing. When the engine can't read product attributes like color, size, or material, it recommends the wrong variant, the wrong fit, or an item that's already out of stock.
What we hear from brands
an ethically sourced jewelry brand needs better website and email personalization to lift conversions and cross-sell new jewelry lines
a leather handbag brand says its current product recommendations are static and not predictive
a premium womenswear brand calls its merchandising functionality damagingly bad, relying on manual picks instead of algorithmic intelligence
The new way
AI on autopilot, with business rules whenever you want the wheel
Recommendations can run entirely on Maestra's AI engine, picking products from your inventory automatically. Or your team can fine-tune by color, price, category, or collection with no-code business rules, so merchandising expertise and machine learning work side by side instead of competing.
Customer proof
Svaha USA rebuilt its whole stack under deadline and grew sales 26%
Svaha USA's stack was falling apart, with Rebuy recommending the same dress in 16 colors and dated, incomplete email flows, right before Yotpo sunset its email and SMS products mid-quarter. Consolidating onto Maestra brought recommendations, loyalty, and on-site personalization into one platform ahead of peak season.
+26%
total sales
+14%
average order value
Read the full case study“One platform instead of a fragmented stack. Loyalty, email, SMS, site personalization, all together. We’re getting more for less than we ever paid Rebuy and Yotpo combined. No-brainer! Months in, I can say it’s true: when everything’s on one platform, you can do so much more.”
How it works
Why brands describe this as the smoothest migration they have seen
Provide access, answer questions
That is the full ask. Your Maestra forward-deployed marketer takes it from there, including the domain warming that protects deliverability.
No interruption to what already works
Your existing platforms stay live throughout setup, so nothing breaks while the new system comes online.
A pace that matches your complexity
Two to four weeks for growing brands, three to seven weeks for nine-figure operations with more moving parts.
The platform
Ten modules, one real-time engine underneath
Maestra's real-time CDP sits at the center of ten connected modules, all reading from a commerce-specific data model built for products and orders, not generic web events. The engine processes 2M requests per minute at under 300 milliseconds.
Including
Your forward-deployed marketer
The person who actually does the work, not just advises on it
Your forward-deployed marketer does not hand you a strategy deck and disappear. They build the migration, design the flows, run the A/B tests, and stay reachable in a shared Slack channel the whole time.
Done-for-you migration, flows, and A/B tests
Shared Slack channel for real-time questions
Included with every subscription, no extra fee
Replace your stack
The overlap audit that leads to Maestra
Auditing every tool that touches customer data usually turns up several doing the same job. Once that overlap is mapped, one platform can absorb most of it. That is the case Maestra makes against a stack built from separate email, SMS, recommendation, and loyalty tools.
Replaces
Klaviyo
Attentive
Rebuy
Yotpo
Start with a look, not a commitment
Explore maestra.io, see the modules and the customers behind them, and decide from there.