Weak or manual product recommendations
Turn browsers into bigger baskets, not just more clicks
BrandEngine gives ecommerce teams a marketing personalization platform backed by a dedicated forward-deployed marketer, so recommendations lift AOV and items per order instead of sitting there unused.
The problem
A big catalog is supposed to be an advantage, not a maze
When a store carries thousands of SKUs across categories, customers can end up clicking three or four levels deep just to find something relevant. Recommendation engines built for smaller catalogs choke on that complexity and default to showing whatever is most popular, not what fits.
What we hear from brands
a craft-supplies retailer says customers must go three or four levels deep to find products across a vast catalog
an art-supplies retailer reports poor product recommendations due to a huge SKU catalogue
an apparel brand with a large catalog has underperforming recommendation engines and inadequate personalization for mixed subscriber and one-time customers
The new way
AI on autopilot, with business rules whenever you want the wheel
Recommendations can run entirely on BrandEngine'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
15
hours saved weekly on manual product curation
+22%
revenue growth on the same budget
20x
lift in new subscriber volume
How it works
What gets rebuilt before you go live
Data and integrations
Customer records, order history, and the connections to your store move first, so the profiles are whole before anything sends.
Deliverability
Domains, sender signatures, and Postmaster are set up and monitored, because a migration that lands in spam is not a migration.
Flows and campaigns
The programs you run today are rebuilt and the ones you never had time for get launched alongside them.
The platform
Real time means the visit you are in right now
Profiles update as the shopper moves, at 2M requests per minute with responses under 300 milliseconds, so a recommendation or a banner reacts to what happened seconds ago instead of what a nightly sync knew this morning.
Including
Your forward-deployed marketer
A marketer who works inside your account, not around it
Migration, strategy, flow building, and A/B testing are handled directly by your forward-deployed marketer, reachable through a shared Slack channel, as part of every BrandEngine subscription with no separate line item.
Done-for-you migration, strategy, and flows
Shared Slack channel included
Included with every subscription, no extra fee
Replace your stack
The tools you are replacing, and why it works
Email platforms, SMS senders, and recommendation engines all read from their own database. BrandEngine unifies those functions so recommendations know what the SMS just sent, and the SMS knows what the email already tried.
See how BrandEngine can help your business grow
Book a demo to walk through the platform with a real person, not a slide deck.