Weak or manual product recommendations
When your catalog is too big to browse, let a quiz do the recommending
Product discovery quizzes on Maestra Platform, the marketing personalization platform with a dedicated forward-deployed marketer on every account, turn browsing fatigue into higher-converting, better-matched recommendations.
Brands running on Maestra
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
When browsing isn't enough, ask the customer directly
Product-picking quizzes cure decision fatigue by asking a few short questions and surfacing matching products immediately, while capturing preferences that sharpen targeting across every channel. Pair that with value-packed bundles built from products that actually go together, and discovery stops depending on the customer getting lucky.
Outcomes brands report
+45.3%
more items per order among shoppers who engaged with recommendations
From the Blue Q case studyCustomer proof
UAG replaced three tools with Maestra and cut stack costs 64%
Urban Armor Gear didn't want a straight swap of one platform for another. It wanted its whole on-site and lifecycle experience to get better. Replacing Klaviyo, Yotpo Loyalty, and Frosmo with Maestra brought recommendations, email, and loyalty under one roof, at a fraction of the prior cost.
64%
reduction in marketing stack costs
“We didn’t just consolidate platforms with Maestra, we upgraded everything. Maestra team gives specific recommendations and holds us accountable.”
How it works
Switching platforms without switching off your revenue
You approve, your forward-deployed marketer builds
Access and sign-off on the plan are what you contribute. The build, the data transfer, and the flow reconstruction are not on your plate.
Current tools stay on until launch day
There is no window where campaigns, tracking, or customer data go quiet. Old and new run in parallel until the switch is ready.
A dedicated forward-deployed marketer covers 99% of the work
From integrations to deliverability warm-up, the forward-deployed marketer assigned to your account owns the bulk of the migration.
The platform
Enterprise capability without the enterprise build time
Maestra's commerce-specific data model is what lets it deliver enterprise-grade scalability without the usual months of implementation. The engine processes 2M requests per minute at under 300 milliseconds, keeping every module fast enough for live shopper behavior.
Including
Your forward-deployed marketer
Fewer accounts, more attention, faster answers
Under 15 accounts per forward-deployed marketer versus 60 or more at other platforms is the structural reason Maestra can promise a 5-minute response and four meetings a month instead of one.
Fewer than 15 accounts per marketer, versus 60+
5-minute response time versus 72 hours
4 meetings a month versus 1
Replace your stack
Consolidation that customers actually notice
The clearest sign a consolidation worked is that nothing feels worse afterward. Brands moving their recommendations, loyalty, and messaging tools onto Maestra describe each function improving, not just merging, once it runs on shared, real-time data.
Replaces
Nosto
Rebuy
Yotpo
Attentive
Klaviyo
Let's map your migration before you decide
Every switch starts with a plan built around your stack. Book time and we will sketch yours.