Can't personalize beyond basic email and SMS
A 15 percent higher conversion rate when the page reacts to the shopper
Maestra Platform is the all-in-one retention marketing platform for ecommerce brands, pairing real-time recommendations and on-site personalization with a forward-deployed marketer who ships the setup.
+38.7%
growth in AOV from an upsell bar built in one hour
Brands running on Maestra
The problem
Recommendations that ignore what someone just did
Product recommendation modules often run on fixed logic: bestsellers, or a static "you might also like" block that never updates. A shopper who just looked at one category keeps seeing suggestions from a completely different one, which reads as inattention rather than personalization.
What we hear from brands
product recommendations are static and not predictive, according to a handbag brand
a kitchen-appliance brand frustrated that a shopper who just viewed a juicer gets shown a blender next
static product carousels ignore customer segments, according to a sustainable underwear brand
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.
+45.3%
more items per order among shoppers who engaged with recommendations
From the Blue Q case studyCustomer proof
Blossom Flower Delivery makes the website work as hard as the inbox
Blossom Flower needed to personalize its website to collect leads and lift order conversion, not just its emails. The team added lead capture pop-ups, social proof notifications, and personalized catalog headlines, then measured the lift against a control group rather than assuming it worked.
“Even on site personal widgets can be added quickly with ease, whereas before we had to code them from scratch. It's easy to increase customer retention with Maestra.”
Read the full case study9%
incremental revenue versus the control group
7,836
leads collected in one month
How it works
How the switch to Maestra actually works
You grant access
Give your Maestra forward-deployed marketer access to your current stack and approve the migration plan. That is the extent of the lift on your side.
Your old stack stays live
Nothing goes dark. Your existing tools keep running while your marketer rebuilds data, flows, and campaigns behind the scenes, including domain warm-up for deliverability.
You go live on your timeline
Growing brands are typically ready in two to four weeks. Complex, nine-figure setups take three to seven weeks. Either way, your marketer handles 99% of the work.
The platform
The most unified platform for next-level marketing
Maestra's promise is simple: a commerce-specific data model that delivers enterprise-grade capabilities, scalability, and speed to market you cannot get from a patchwork of point solutions. Real-time processing runs at 2M RPM with under 300ms latency, so every module acts on fresh data.
Your forward-deployed marketer
The math behind better support: fewer accounts per person
Most vendors stretch one account manager across 60 or more accounts. Maestra caps forward-deployed marketers at under 15, which is the reason a 5-minute response time and four monthly meetings are even possible.
Fewer than 15 accounts per marketer, versus 60+
5-minute response time versus 72 hours
4 meetings a month versus 1
Replace your stack
Retire the point solutions, keep the results
Most ecommerce stacks run separate tools for email, SMS, recommendations, and loyalty, each with its own login and its own slice of customer data. Maestra replaces that sprawl with one platform, and customers consistently find that each tool they consolidate works better once it is unified.
Replaces
Klaviyo
Attentive
Nosto
Rebuy
Yotpo
Take the platform tour first
See the CDP, the journeys, and the modules in action before you schedule a single call.