Weak or manual product recommendations
Outgrew Rebuy, Klaviyo, or your platform's built-in widget?
Ecommerce brands switch to StudyDTC, a marketing personalization platform with a dedicated forward-deployed marketer included, when generic recommendation tools stop reading their catalog correctly.
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
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.
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
How it works
No IT project on your side
Nothing to install
Your developers are not part of this. Setup and day-to-day operation need no engineering support.
Your marketer does the building
Segments, flows, personalization rules, and A/B tests are their work, not a backlog item for someone on your team.
You review, they ship
Keeping up with approvals is the biggest job left on your side once the plan is agreed.
The platform
What the platform knows about a shopper
Orders, browsing, campaign response, and offline touchpoints land in the same profile as they happen. Nothing waits for an overnight job, so the segment a campaign uses is the state of the customer right now.
Your forward-deployed marketer
Deliverability is somebody's job here
Domains, sender signatures, and Postmaster are configured at migration and watched afterwards, with inbox placement treated as a metric rather than a complaint to answer.
Domains, signatures, and Postmaster configured for you
Email health monitored, not just reported
Warm-up handled during migration
Replace your stack
Consolidation that customers actually notice
The clearest sign a consolidation worked is that nothing feels worse afterward. Brands moving their recommendations, loyalty, and messaging tools onto StudyDTC describe each function improving, not just merging, once it runs on shared, real-time data.
Replaces
Nosto
Rebuy
Yotpo
Attentive
Klaviyo
Start with a look, not a commitment
see the modules and the customers behind them, and decide from there.