Weak or manual product recommendations
Stop stitching a recommendation app onto five other tools
StoreEngine replaces the bolted-on widgets with one marketing personalization platform and a dedicated forward-deployed marketer, so ecommerce brands run recommendations, email, and SMS from the same data.
27%
reduction in marketing stack costs
7.4%
of total revenue generated through a personalized cross-sell flow
+26%
total sales after consolidating the marketing stack
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
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.
How it works
Your old stack is the safety net
Keep it running
Nothing is switched off at the start. Both setups exist side by side while the new one is proven.
Compare before you commit
You see the rebuilt flows and segments against the ones you know before anything is pointed at customers.
Turn it off on your terms
The old contracts end when you say so, not because the migration forced the date.
The platform
The platform behind every touchpoint
StoreEngine combines a real-time CDP, on-site personalization, and every messaging channel into a single system, all running on a data model built specifically for commerce. It scales to 2M RPM and responds in under 300 milliseconds, so it works at the speed customers actually browse.
Your forward-deployed marketer
Fewer accounts, more attention, faster answers
Under 15 accounts per forward-deployed marketer versus 60 or more at other platforms is the structural reason StoreEngine can promise a 5-minute response and four meetings a month instead of one.
Fewer than 15 accounts per marketer, versus 60+
5-minute response time versus 72 hours
4 meetings a month versus 1
Replace your stack
The tools most brands switch off first
Email and SMS usually move first because the pain is loudest there, then recommendations and lead capture follow once the profiles are already unified. Loyalty tends to be last and benefits most.
Replaces
Sendlane
Optimizely
Wisepops
Yotpo
Zapier
Read the cases before you read a pitch
The brands on the site describe what they switched from and what changed afterwards, in their own numbers.