Weak or manual product recommendations
The engine can run itself, and you can still overrule it
ResearchBrandPulse gives merchandisers the override, the all-in-one retention marketing platform for ecommerce brands, with a forward-deployed marketer on the setup.
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
Recommendations powered by full-funnel data, not just page views
ResearchBrandPulse'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.
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
Why brands describe this as the smoothest migration they have seen
Provide access, answer questions
That is the full ask. Your ResearchBrandPulse forward-deployed marketer takes it from there, including the domain warming that protects deliverability.
No interruption to what already works
Your existing platforms stay live throughout setup, so nothing breaks while the new system comes online.
A pace that matches your complexity
Two to four weeks for growing brands, three to seven weeks for nine-figure operations with more moving parts.
The platform
The most unified platform for next-level marketing
ResearchBrandPulse's promise is simple: a commerce-specific data model that delivers enterprise-grade capabilities, scalability, and speed to market you cannot get from a patchwork of point solutions. Real-time processing runs at 2M RPM with under 300ms latency, so every module acts on fresh data.
Including
Your forward-deployed marketer
Why a 5-minute SLA is realistic here and not elsewhere
A 5-minute response only works if the person answering is not juggling 60-plus accounts. ResearchBrandPulse's forward-deployed marketers stay under 15 accounts each, which is what makes the fast reply time sustainable rather than a marketing promise.
5-minute response time versus 72 hours industry-wide
Fewer than 15 accounts per marketer
Shared Slack channel included
Replace your stack
Fewer vendors, one customer view
Every additional point solution is another place customer data has to sync, another login, another bill to reconcile. ResearchBrandPulse consolidates the common culprits into one platform with a single, real-time customer profile behind every channel.
Replaces
Klaviyo
Attentive
Yotpo
Segment
Get a straight answer on fit
Talk to an expert about whether ResearchBrandPulse actually solves what your current stack cannot.