Can't personalize beyond basic email and SMS
Recommendation engines can go live before your next planning meeting
Maestra Platform pairs 14 ready-made recommendation engines with a forward-deployed marketer, giving ecommerce brands an all-in-one retention marketing platform that personalizes site, app, and email together.
Brands running on Maestra
The problem
Same homepage, no matter who is looking
Most ecommerce sites still run one static experience for every shopper, regardless of what they have browsed, bought, or asked for. The homepage, the banners, and the product grid look the same whether it is a first-time visitor or someone on their twentieth order. That flattens the exact signals a brand has already collected.
What we hear from brands
the site experience is static and manually merchandised, offering the same journey to all visitors, according to a French skincare brand
the website is bulky and generic, lacking dynamic personalization, according to a premium appliance brand
the website experience is static, with the same banners for all visitors, according to an independent fragrance boutique
The new way
Give every visitor stage its own logic
New visitors see bestsellers that reassure them they are in the right store. Someone who has browsed sees similar-to-viewed items. A first-time buyer sees post-purchase picks. A repeat buyer sees personal recommendations built on their own history. One system, four distinct experiences, running automatically as the customer moves between stages.
Customer proof
Enlightened Equipment fixes what third-party apps could not
Enlightened Equipment's conversion and AOV goals stalled because Klaviyo had no built-in website personalization, and every third-party recommendation app it tried failed to work. Maestra's AI-powered recommendations went live across the main page, product pages, cart, 404s, and empty search results, matched to each customer's gender, behavior, and gear update cycle.
+15%
growth in website conversion rate
+8.7%
growth in AOV, achieved in 2 months
Read the full case study“Maestra was exactly what we were looking for. Their ML algorithms understand our product relationships perfectly, when a customer views men's sleeping bags, they see relevant quilts and sleeping pads. And if we need to display products according to specific business logic, we can simply set up custom business rules without any coding.”
How it works
A migration built to protect revenue, not just data
Access and a plan, nothing more
You provide access to your current systems and approve the migration roadmap your forward-deployed marketer puts together.
Parallel systems, zero downtime
Your old stack keeps running the entire time, so there is no gap in sending, tracking, or customer experience.
Warm-up handled before you launch
Deliverability warm-up runs as part of the transition, so your first campaigns on Maestra land in the inbox, not the spam folder.
The platform
Ten modules that were never meant to be separate tools
Site personalization, recommendations, email, SMS, and the rest of Maestra's modules were built to share one commerce-specific data model, not bolted together after the fact. That foundation is what supports 2M RPM at under 300 milliseconds across the platform.
Your forward-deployed marketer
Why a 5-minute SLA is realistic here and not elsewhere
A 5-minute response only works if the person answering is not juggling 60-plus accounts. Maestra's forward-deployed marketers stay under 15 accounts each, which is what makes the fast reply time sustainable rather than a marketing promise.
5-minute response time versus 72 hours industry-wide
Fewer than 15 accounts per marketer
Shared Slack channel included
Replace your stack
"Each tool we replaced now works better than before"
That is how one E-commerce Director described consolidating onto Maestra. Replacing a scattered stack is not about losing functionality. It is about getting the same jobs done from one unified customer profile instead of several disconnected ones.
See how Maestra can help your business grow
Book a demo to walk through the platform with a real person, not a slide deck.