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Premium women's fashion chain
+45% repeat purchase rate in 3 months via AI campaign agent.
Industries
Fashion is bought with the heart. Loyalty is built the same way.
AI loyalty for fashion brands. Style-based personalisation, season-aware campaigns, low-frequency cohort design, and exclusive-access rewards.
Section 01
The thesis
The problem
Fashion shoppers visit 4-8 times a year. Traditional "points + tier" programmes punish low-frequency customers. Without style-based personalisation, every campaign feels generic.
The Fundle approach
Fundle's fashion-tuned models read style preferences from purchase history, predict next-season needs, and orchestrate season-aware journeys with exclusive previews, birthday styling and category-affinity offers.
Section 02
The capabilities
Everything you need — native, not stitched together.
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Style-based segmentation
02
Season-aware campaign templates
03
Birthday styling journey
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Exclusive-access reward catalogue
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Influencer + UGC integration
In production
Use cases
What it looks like when this runs in production.
·+45% repeat rate
·4-8/year visit frequency baseline
Questions
Most asked
The questions enterprise loyalty teams ask first.
How do you handle long gaps between purchases?
Fundle's low-frequency cohort logic rewards engagement (content, events, social) between purchases — not just transactions.
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.