Weak or manual product recommendations
Recommendations that keep showing the same product in another color
Maestra Platform reads your catalog the way your merchandisers do, an all-in-one retention marketing platform for ecommerce brands where a forward-deployed marketer tunes the engine to your products.
8.9%
of sales influenced by product recommendations
Brands running on Maestra
The problem
Customers stay in one category and never see the rest of what you sell
Without automated, behavior-based cross-sell, shoppers who love one product line rarely discover adjacent ones. Campaigns end up treating every customer the same, missing the natural next purchase that's sitting right in your own catalog.
What we hear from brands
a natural body-care brand has limited ability to cross-sell soap buyers into skincare, with campaigns that treat all customers the same
a designer home-decor brand lacks automated product cross-sell flows and custom data points like product-view events
an online seafood purveyor cites limited cross-sell visibility and the need for better flow optimization and A/B testing
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
Customer proof
Defense Mechanisms keeps the final say over what the engine suggests
The brand's gear has pairings an algorithm will not infer on its own, so the team wanted an engine it could steer rather than replace. The AI runs on autopilot where that works and gets overridden where the merchandisers know better.
“The best thing about Maestra’s recommendations is their flexibility. We can let the AI engine run on autopilot. Or we can adjust it ourselves to match what we know works well together.”
8.9%
campaign-driven revenue increase
How it works
Onboarding that runs on your forward-deployed marketer's clock, not yours
You provide the keys
Access to your current tools and a signed-off plan are the two things your team contributes upfront.
99% of the work sits with your forward-deployed marketer
Data transfer, integration setup, and flow rebuilding are owned by your dedicated forward-deployed marketer from day one.
Your customers never see a gap
Because your old stack keeps running until cutover, there is no interruption in sending or tracking during the switch.
The platform
Personalization that runs at commerce speed
Maestra ties ten marketing modules to a single commerce-specific data model so a purchase, a click, or a support ticket updates the customer profile everywhere at once. The infrastructure behind it handles 2M requests per minute with sub-300ms response times.
Including
Your forward-deployed marketer
What is actually done for you, not just talked about
Marketing strategy, data migration, flow and automation setup, and A/B test execution are all done-for-you with your forward-deployed marketer, not left as homework after a demo call.
Done-for-you marketing strategy
Done-for-you data migration and integration
Done-for-you flow, automation, and A/B test setup
Replace your stack
The tools you are replacing, and why it works
Email platforms, SMS senders, and recommendation engines all read from their own database. Maestra unifies those functions so recommendations know what the SMS just sent, and the SMS knows what the email already tried.
Replaces
Klaviyo
Rebuy
Nosto
Attentive
What would change on your account
The useful conversation is about your data, your channels, and what a forward-deployed marketer would do in the first month.