Boutiques
Build loyal fashion customers
Customers buy once but don’t come back for your next collection?
Fydo helps clothing and fashion stores reward customers by style and spend, so shoppers come back for the next collection instead of buying once and disappearing. Segment customers by what they buy, send WhatsApp alerts when new arrivals match their taste, and turn seasonal drops into repeat visits.
Simple app. No complicated setup - works with your existing POS system or even if you don’t use one.
A loyalty app for clothing stores is a way to reward shoppers for returning across seasons and collections, not just for a single purchase. Instead of relying on end-of-season markdowns to move stock, stores can reward repeat buyers, segment customers by style preference, and reach out for every new arrival.
Fydo gives clothing and fashion retailers the tools to reward customers based on what they actually buy, alert them when matching styles or sizes arrive, and win back shoppers who haven't visited since last season - all without deep discounting.
A full trial room on launch day doesn't mean shoppers return for the next collection. Without a way to bring them back, clothing stores lose repeat business to:
Sharp drop-off in visits between seasonal collections
Competing against fast-fashion brands on discounting alone
No way to notify past shoppers when matching styles or sizes arrive
Regular shoppers treated the same as one-time buyers
High return and exchange rates with no loyalty tied to them
Festive and wedding-season demand that doesn't carry into the rest of the year
No record of which shoppers actually come back season after season
Losing shoppers to online marketplaces after their first in-store visit
A clothing store that wins a sale but loses the shopper is rebuilding its customer base every season instead of growing it.
Notify shoppers on WhatsApp the moment a new collection or their preferred style arrives, so the first person walking in for the new season is someone who already shops with you.
Group shoppers by the styles, sizes, and categories they actually buy, so a festive-wear alert goes to festive-wear buyers instead of your entire customer list.
Reward shoppers with cashback or points on every visit, giving them a reason to return for the next collection instead of chasing the next discount sale elsewhere.
Turn exchanges and returns into a loyalty touchpoint instead of a lost sale, keeping shoppers engaged with your store even when the first purchase didn't fit.
Automatically reach out to shoppers who haven't visited since last season with an offer tailored to what they bought before, instead of a generic blanket discount.
See which shoppers are buying every collection, which have gone quiet, and which offers are actually increasing basket value instead of just moving stock.
Fydo helps different types of apparel businesses grow.
No matter your store size, loyalty helps you grow faster.
A strong loyalty strategy turns one-time buyers into shoppers who return every season.
Higher Basket Value Per Visit: Style-based rewards encourage shoppers to add to their basket instead of buying just one item.
Repeat Visits Across Seasons: New-collection alerts bring shoppers back for the next drop instead of disappearing after one purchase.
Lower Dependence on End-of-Season Markdowns: Cashback rewards give shoppers a reason to buy without waiting for a sale.
Fewer Lost Sales From Exchanges: Loyalty tied to returns keeps shoppers engaged instead of walking away after a size issue.
Better Response to Festive & Wedding Season Demand: Segmented offers reach the shoppers most likely to buy for the occasion.
Clear Visibility Into Repeat Shoppers: Know exactly who buys every season and who needs a win-back nudge.
Retailers use Fydo to bring customers back and increase repeat purchases.
We easily set up a loyalty program and started bringing customers back for every new arrival. We now see more repeat visits and stronger customer relationships.
Fydo Partner Store
When new stock arrives, Fydo lets you notify shoppers on WhatsApp based on the styles, sizes, or categories they've bought before, instead of messaging your entire customer list.