Weak or manual product recommendations
Thousands of SKUs, and recommendations that finally know the difference
For ecommerce brands with large or complex catalogs, EcomSmart matches products by size, color, and material, not just category, and puts a dedicated forward-deployed marketer on the account to fine-tune it.
The problem
When recommendations actively work against your average order value
Some recommendation setups surface whatever is cheapest or easiest to match, quietly dragging down AOV instead of lifting it. Others require so much manual customization that teams end up doing the engine's job for it, defeating the point of automation.
What we hear from brands
an ecommerce brand with a companion mobile app sees product recommendations surfacing very low-priced items, dragging down AOV
an industrial-supplies company wants recommendations based on industry affinities and cart context, but existing solutions require heavy customization
a home goods and drinkware brand says current upsells require significant manual editing and don't effectively cross-sell between categories
The new way
Recommendations powered by full-funnel data, not just page views
EcomSmart'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.
15
hours saved weekly on manual product curation
+22%
revenue growth on the same budget
20x
lift in new subscriber volume
How it works
Warming the domains is the part that needs you
Grant access
Read access to the current stack, and the sending domains, is what your marketer needs to start.
Help with the warm-up
Deliverability is built up over days rather than switched on, and it is the one step where your team is involved.
Ship the first programs
Flows go live in order of what they earn, so the earliest weeks pay for the move.
The platform
One system for the whole customer journey
From the first site visit to the tenth purchase, EcomSmart runs on a commerce-specific data model that keeps CDP, journeys, loyalty, and messaging in sync. The platform is built to process 2M RPM at under 300 milliseconds, so that sync holds up under real traffic.
Including
Your forward-deployed marketer
The first month, concretely
A roadmap you approve, the data migrated, deliverability configured, and the first flows live. None of that arrives as a recommendation for your team to implement.
Roadmap agreed in week one
Migration and deliverability handled for you
First flows live inside the first month
Replace your stack
Consolidation without the compromises
Swapping five tools for one platform usually means giving something up. With EcomSmart, brands report the opposite: recommendations, loyalty, and messaging all improve once they share the same real-time data instead of syncing through exports and integrations.
Replaces
Nosto
Rebuy
Yotpo
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.