01
Indian beauty D2C brand
+32% repeat rate via AI-recommended sample journeys.
Industries
Beauty is personal. Beauty loyalty must be too.
AI loyalty for beauty brands. Skin-type personalisation, sample-based loyalty, influencer integration, and social-sharing rewards.
Section 01
The thesis
The problem
Beauty buyers expect product advice, not coupons. Generic discounts erode brand perception. Sample-led discovery is the real currency.
The Fundle approach
Fundle's beauty modules profile skin type, undertone and ingredient preferences from purchases and surveys, then orchestrate sample-based loyalty, expert AI advice and social-sharing rewards.
Section 02
The capabilities
Everything you need — native, not stitched together.
01
Skin-profile inference
02
Sample loyalty
03
Influencer affiliate integration
04
Social-sharing rewards
05
Salon partnership
In production
Use cases
What it looks like when this runs in production.
·+32% repeat rate
·4× sample-to-purchase rate
Questions
Most asked
The questions enterprise loyalty teams ask first.
How do you handle ingredient sensitivities?
Member preferences include ingredient allow/deny lists; the recommendation engine respects them.
Continue exploring
Next step
Ready to see Fundle in action?
A 30-minute working session with a Fundle loyalty strategist and a solutions engineer — tailored to your brand or mall.