Cardly

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Project Card
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Cardly is an analytics-first loyalty program platform for small and medium-sized businesses: every receipt is tied to a specific person.

Target audience: small businesses in food and services — coffee shops, cafes, barbershops, nail salons — anywhere repeat visits happen and a loyalty program makes sense.

Core Principles

  1. Receipt → Person link: every purchase is tied to a specific customer, turning scattered transactions into customer profiles.
  2. Analytics, not intuition: CLV at the individual level, churn prediction, promo ROI — tools that turn marketing into an investment with a known return.
  3. Platform: one Cardly account gives customers access to all loyalty programs on the platform; for businesses — full app functionality without development costs.
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Feedback & Reviews
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What users get

  1. A beautiful, convenient, modular place where their loyalty programs live.
  2. Each venue has its own dedicated page where all information can be found. The page contains the barcode and the venue's widgets.
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A widget is a card…
Widget examples…
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  • Each page has a default layout set by the venue. But users can do anything they want with it: remove/add widgets, change any colors, etc.
Home page layout example
Business page example #1
Business page example #2
Visual concept only. All brands and logos belong to their respective owners and are shown for illustrative purposes only. No partnership or endorsement is implied.

What businesses get

  1. A ready-made loyalty program — without the cost of building a custom app, while preserving brand style and identity.
  2. Analytics tools:
    • Person-level CLV — if you know that Ivan Petrov brought in ₽84,000 over a year, you're willing to spend ₽2,000 to retain him. Without that number, marketing is intuition; with it — an investment with a known ROI.
    • Churn prediction — the system detects a customer "going quiet" before they've churned completely. Winning them back at that stage is far cheaper than after they've forgotten about you.
    • Promo ROI by segment — the campaign ran, revenue went up, but profit stayed flat? That tells you who showed up: if 80% were already loyal customers, the promo was a loss. If 60% were new — it paid off.
    • Losing specific people — not "we're seeing a slowdown," but "Marina, Alexei, and 12 more regulars haven't visited in 3 weeks." The second is actionable.
    • Post-promo retention — tracking how many customers acquired through a promo became regulars. Without this number, unit economics don't exist.