Quiz + profile data
Concerns, goals, skin or hair needs, preferences and previous interactions.
Tangent uses quiz answers, first party shopper data and contextual signals to personalize what each shopper sees on a product page, from the benefits that matter most to the products that complete their routine.


Highlights for You brings personalization beyond the quiz and directly onto the PDP. Tangent combines shopper context, previous quiz data and product benefits to explain why the product may matter to that particular shopper.
Use what Tangent already knows about the shopper to make product pages more useful across the rest of the store.
Concerns, goals, skin or hair needs, preferences and previous interactions.
Add useful context such as climate, season or location when it changes what matters on the page.
Connect product information with what shoppers with similar needs tend to buy together.
A single beauty product can solve different needs. Tangent lets the PDP emphasize the most relevant product story instead of showing every shopper the same generic message.
Bring soothing benefits, gentle use guidance and sensitivity FAQs forward.
Emphasize moisture support, texture and where the product fits into a seasonal routine.
Show the benefits and supporting routine steps most relevant to that shopper's goal.
Combine what this shopper needs with what shoppers generally buy with the product to make complementary recommendations more useful.

Generative AI and search can send shoppers directly to product pages, skipping the usual homepage or quiz journey. When relevant first party or contextual signals are available, Tangent can make that landing experience more useful from the first page they see.
A shopper discovers a product through a search or AI generated answer.
The page emphasizes the context, benefits and recommendations most relevant to that shopper.
Tangent personalizes using signals available to the brand. It does not assume access to a shopper's private AI conversation or search history.
Every shopper sees the same benefits, same education and same complementary product logic.
Benefits, context and recommendations can adapt to the shopper's profile and situation.
PDP personalization adapts a product detail page to the shopper viewing it. Tangent can use quiz answers, first party shopper data and contextual signals to make product benefits, routines and recommendations more relevant.
Tangent can use quiz answers and shopper profile data, together with contextual signals such as location, weather and season where relevant, plus product information and aggregate purchase patterns.
No. When Tangent already has relevant first party data for the shopper, that information can be reused to make the PDP more relevant without asking them to start over.
Yes. Tangent can combine individual shopper needs with product relationships and aggregate purchase patterns to make pairings, routines and complementary recommendations more relevant.
AI and search experiences can send shoppers directly to product pages. A personalized PDP can make that first landing experience more relevant when useful first party or contextual signals are available to the brand.
Bring quiz data, shopper context and smarter recommendations directly into the PDP experience.
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