Weak or manual product recommendations
When your catalog is too big to browse, let a quiz do the recommending
Product discovery quizzes on ResearchDTCBrief, the marketing personalization platform with a dedicated forward-deployed marketer on every account, turn browsing fatigue into higher-converting, better-matched recommendations.
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
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
+28.7%
higher AOV among shoppers who engaged with recommendations
+45.3%
more items per order among shoppers who engaged with recommendations
+31.7%
in AOV on orders with recommendation clicks
How it works
Migration without the migration headache
Approve the plan
Your ResearchDTCBrief forward-deployed marketer reviews your setup and proposes a plan built around your business, not a generic template. You just sign off.
No downtime while it happens
Your current platforms keep sending and tracking while data, segments, and flows get rebuilt in ResearchDTCBrief in parallel.
Launch in weeks, not quarters
Growing brands go live in two to four weeks. Nine-figure, multi-brand operations take three to seven weeks. Billing only starts once you are live.
The platform
One engine behind every channel
Email, SMS, push, messengers, and the website are outputs of the same rules and the same data. Adding a channel is a setting rather than another vendor and another integration to maintain.
Including
Your forward-deployed marketer
The forward-deployed marketer model, explained plainly
Rather than a support rep who reacts to tickets, your ResearchDTCBrief forward-deployed marketer proactively builds your strategy, sets up your flows, and runs your tests. It is included at no extra cost, with a shared Slack channel for anything in between.
Done-for-you strategy, flows, and A/B tests
Shared Slack channel for direct access
Included with every subscription
Replace your stack
The overlap you are paying for twice
Most stacks have two tools that both claim to segment and two that both claim to personalize. The audit that precedes a migration usually finds more duplication than the team expected.
Worth a look if any of this sounded familiar
The product pages show what the platform does with the data once it is in one place.