Weak or manual product recommendations
Recommendations that ran on hours of manual work now run themselves
On RevenueHQ, 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.
15
hours saved weekly on manual product curation
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 RevenueHQ'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.
Outcomes brands report
+22%
revenue growth on the same budget
20x
lift in new subscriber volume
How it works
Why this migration does not stall
One owner
A named marketer owns the move end to end instead of a ticket queue that passes it around.
Specialists on call
Deliverability and data specialists are pulled in by your marketer when a step needs them, without you making the introduction.
Momentum after launch
The improvements that are easy to postpone keep getting shipped, because someone whose job it is keeps pushing them.
The platform
One platform, ten modules, zero data silos
Instead of stitching together separate tools, RevenueHQ runs your CDP, journeys, recommendations, and messaging from one commerce-specific data model. Every module reads and writes to the same customer profile, and the whole system handles 2M requests per minute at under 300 milliseconds.
Your forward-deployed marketer
Direct access, not a support ticket
Every RevenueHQ account gets a shared Slack channel with its forward-deployed marketer, so questions get answered in minutes, not after a ticket sits unassigned for days.
Shared Slack channel with your marketer
5-minute response time versus 72 hours
Included with every subscription
Replace your stack
What happens when the tools finally share data
Recommendations that only know on-site clicks miss what the email already showed. Loyalty logic that lives apart from messaging misses redemption context. RevenueHQ removes those gaps by running recommendations, loyalty, email, and SMS on one shared profile.
Replaces
Nosto
Rebuy
Yotpo
Klaviyo
Have a look at the platform first
You do not have to decide anything to see how the pieces fit together. Start on the product pages and work back to your own stack.