Weak or manual product recommendations
Recommendations should add an item, not repeat the one they are looking at
BrandResearchIndex picks complements from real purchase relationships, the all-in-one retention marketing platform for ecommerce brands, configured by a forward-deployed marketer.
+28.7%
higher AOV among shoppers who engaged with recommendations
The problem
Your recommendation widget doesn't know what it's looking at
Basic "you might also like" widgets show the same popular items to everyone, regardless of what a customer is actually viewing. When the engine can't read product attributes like color, size, or material, it recommends the wrong variant, the wrong fit, or an item that's already out of stock.
What we hear from brands
an ethically sourced jewelry brand needs better website and email personalization to lift conversions and cross-sell new jewelry lines
a leather handbag brand says its current product recommendations are static and not predictive
a premium womenswear brand calls its merchandising functionality damagingly bad, relying on manual picks instead of algorithmic intelligence
The new way
One set of recommendations, synced everywhere a customer shops
The same product logic that powers your website also fills recommendation blocks in email, SMS, messengers, and even in-store POS. A customer who browses a product on-site sees a relevant follow-up in their next email, not a generic bestseller list pulled from a different system.
Outcomes brands report
+45.3%
more items per order among shoppers who engaged with recommendations
+31.7%
in AOV on orders with recommendation clicks
How it works
The part where you do almost nothing
Say yes to the plan
Your forward-deployed marketer builds the migration plan and walks you through it. Approving it is most of your job.
Everything transfers in the background
Data, segments, flows, and campaign templates move over while your current platforms keep working, so customers never notice a gap.
Deliverability gets warmed up for you
Domain warm-up and sending reputation are handled as part of the switch, not left for you to figure out after launch.
The platform
Built for commerce, not retrofitted for it
BrandResearchIndex's data model was designed around products, orders, and customer status from the start, which is why it supports enterprise-grade scale without the usual integration tax. The platform holds up at 2M RPM with sub-300ms processing, so personalization does not lag behind the customer.
Including
Your forward-deployed marketer
Meet the forward-deployed marketer behind your account
Every BrandResearchIndex subscription includes a dedicated forward-deployed marketer who works your account like it is the only one on their desk. That is realistic because they never carry more than 15 accounts, compared to the 60 or more common elsewhere.
Fewer than 15 accounts per marketer, versus 60+ industry-wide
5-minute response time versus 72 hours elsewhere
4 strategy meetings a month instead of 1
Replace your stack
One vendor to hold accountable
When email, the website, and the recommendations belong to three companies, a problem that spans them belongs to nobody. One platform makes the answer somebody's responsibility.
See it running before you talk to anyone
There is a tour of the platform on the site, and it does not ask for a calendar invite first.