Weak or manual product recommendations
Give back the hours you spend hand-curating product widgets
Ecommerce brands automate recommendations instead of building them by hand on ResearchUserIndex, a marketing personalization platform that pairs every account with a dedicated forward-deployed marketer.
The problem
Customers stay in one category and never see the rest of what you sell
Without automated, behavior-based cross-sell, shoppers who love one product line rarely discover adjacent ones. Campaigns end up treating every customer the same, missing the natural next purchase that's sitting right in your own catalog.
What we hear from brands
a natural body-care brand has limited ability to cross-sell soap buyers into skincare, with campaigns that treat all customers the same
a designer home-decor brand lacks automated product cross-sell flows and custom data points like product-view events
an online seafood purveyor cites limited cross-sell visibility and the need for better flow optimization and A/B testing
The new way
When browsing isn't enough, ask the customer directly
Product-picking quizzes cure decision fatigue by asking a few short questions and surfacing matching products immediately, while capturing preferences that sharpen targeting across every channel. Pair that with value-packed bundles built from products that actually go together, and discovery stops depending on the customer getting lucky.
Outcomes brands report
+15%
growth in website conversion rate
+8.7%
growth in AOV
+14%
in conversion rate
How it works
Three questions the migration answers first
What has to move
Customer records, order history, and the programs currently running are inventoried before anything is rebuilt.
What can be improved on the way
A rebuild is the cheapest moment to fix the flows nobody liked, so those get reworked rather than copied.
When you send from the new system
You pick the date. Sending moves channel by channel and the old tools stay up behind it.
The platform
Ten modules that were never meant to be separate tools
Site personalization, recommendations, email, SMS, and the rest of ResearchUserIndex's modules were built to share one commerce-specific data model, not bolted together after the fact. That foundation is what supports 2M RPM at under 300 milliseconds across the platform.
Your forward-deployed marketer
What you can actually ask for
Building or updating flows, creating segments, setting up A/B tests, configuring personalization rules and widgets, chasing a deliverability problem. The list is not a menu of tiers, it is whatever the marketing work is that week.
Flows, segments, widgets, and A/B tests built for you
Deliverability monitored and repaired
Ad-hoc requests, not a ticket allowance
Replace your stack
Migrating off does not mean starting over
The programs you have been refining for years are rebuilt, not discarded, and the history comes with them, so the reporting still reaches back past the switch.
Replaces
Klaviyo
Sendlane
Optimizely
Bloomreach
Attentive
Bring your questions, we will bring the answers
Whether you are comparing platforms or already sold, an expert can walk you through exactly how ResearchUserIndex fits.