Weak or manual product recommendations
Recommendations that ran on hours of manual work now run themselves
On Maestra Platform, a marketing personalization platform with a dedicated forward-deployed marketer on the account, lean ecommerce teams stop hand-picking products one placement at a time.
Brands running on Maestra
The problem
Merchandising by hand doesn't scale past a handful of SKUs
Someone on the team is still hand-selecting which products show up in each recommendation slot, one placement at a time. It works for a small catalog, but every new SKU adds more manual work, and most of the catalog never gets a proper recommendation at all.
What we hear from brands
a leather handbag brand's small ecommerce team manually manages merchandising and A/B tests, limiting scale
an automotive parts retailer describes manual, time-consuming setup of upsells and bundles as SKU count expands
a men's grooming brand cites underperforming product pages and lean team bandwidth for testing and optimization
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
JOLYN fixed product discovery and grew repeat domestic revenue 22%
Inefficient product discovery was preventing JOLYN customers from building matching swim sets by color, size, and material. Maestra's dynamic recommendations now factor in real-time inventory and product detail, turning browsing into completed sets instead of abandoned searches.
+17%
in total company revenue
+22%
in repeat domestic revenue
7%
sales influenced by product recommendations
Read the full case study“It really feels like Maestra is part of our team. What I appreciate most is that they look at our business and ask ‘What are the biggest challenges? How can we solve them?’ With other providers, we often got recommendations to adopt their new features rather than having them truly understand our needs. Maestra is completely different. I get proactive suggestions like ‘Your Browse Abandonment flow could do better with this kind of recommendation. Let’s A/B test it.’ That’s the kind of partnership that drives real results”
How it works
From first call to fully live, without the downtime
Grant access, not headcount
You are not staffing a migration project. You are granting access and approving a plan your Maestra marketer builds around your goals.
Old tools run until the new ones are ready
There is no cutover cliff. Your current stack stays operational the entire time setup is happening in the background.
Timelines scale with complexity
Two to four weeks is typical for a growing brand. Complex, nine-figure operations run three to seven weeks, still with the same 99%-handled-for-you model.
The platform
Maestra in one breath
Maestra unifies a real-time CDP with every channel you need to reach customers, all built on a commerce-specific data model that gives you enterprise-grade capabilities without the enterprise timeline. It processes at 2M requests per minute with responses under 300 milliseconds, so personalization keeps up with real shoppers in real time.
Including
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
The agency-plus-tools model, retired
Paying an agency retainer to operate a pile of disconnected tools is a common pattern, and a costly one to maintain. Maestra replaces both halves: the point solutions and the outside execution team, with one platform and a dedicated marketer built in.
Replaces
Klaviyo
Attentive
Nosto
Yotpo
Ready to get started?
Book a demo to see how Maestra can help your brand grow, on your timeline and your stack.