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All case studies

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The Face Shop

Beauty & Skincare

·

Omnichannel

The Face Shop's Nector loyalty program boosts repeat purchases with 22.67% loyalty usage and 16.34% referral completion

By implementing a structured rewards journey alongside referrals, The Face Shop strengthened repeat purchase behavior and created a consistent engagement loop across its customer base.

22.67%

Loyalty usage rate among repeat customers:

16.34%

Referral completion rate

208

Completed referrals (total)

9.98%

% of Orders from loyalty members

Category

Beauty & Skincare

Channel

Omnichannel

Features

Loyalty

Referral

Reviews

Coin expiry

Tier program, Birthday reward

Integrations

Shopify POS

Judgeme

Shopflo Checkout

Highlight

The Face Shop strengthened retention-led growth using Nector by building a structured rewards journey that nudged customers to return, redeem, and refer friends. With nearly 1 in 10 orders coming from loyalty members, and 22.67% of repeat customers actively using loyalty, the program became a meaningful contributor to customer engagement and repeat revenue. Referrals also played a strong role, generating 208 completed referrals with a 16.34% completion rate overall.

The Challenge: Driving Repeat Purchases & Loyalty Engagement Across Customer Journeys

With a large customer base and frequent first-time shoppers, The Face Shop needed a scalable system to increase repeat buying and build long-term engagement beyond one-time discount-driven purchases.

Key challenges included:

  • Encouraging customers to return consistently without depending heavily on flat discounts
  • Building a clear rewards journey that customers could understand and adopt easily
  • Increasing repeat customer participation in loyalty redemptions and earning behaviors
  • Creating an advocacy loop through referrals to bring in high-intent new customers

About Nector’s Referral Program

Nector’s referral program helps brands turn existing customers into a scalable acquisition channel by rewarding users for sharing and driving successful referrals. With automated tracking, seamless sharing flows, and conversion-focused incentives, Nector makes it easy to increase completed referrals and grow through customer advocacy.

The Solution: A Retention Engine Powered by Nector (Loyalty + Referrals + Reviews)

Nector enabled The Face Shop to shift towards retention-led growth through:

1) Loyalty Program to Incentivize Repeat Purchases

  • Customers earn coins for purchases and engagement actions
  • Coins can be redeemed seamlessly at checkout
  • Strong on-site visibility through the loyalty widget, nudging users to join and earn

2) Tier Program to Reward High-Value Customers

  • Tier-based progression encourages customers to shop more frequently
  • Higher tiers unlock better benefits, improving long-term engagement

3) Birthday Reward to Increase Emotional Loyalty

  • Automated birthday rewards helped drive timely repeat orders
  • Increased customer delight and brand affinity

4) Coin Expiry to Drive Redemption Urgency

  • Expiry logic created urgency and improved redemption behavior
  • Helped convert dormant points into repeat transactions

5) Referrals to Turn Customers into Advocates

  • Customers refer friends and earn rewards when referrals complete
  • Helped bring in high-intent customers through trusted recommendations

6) Reviews via Judge.me Integration

  • Reviews were incentivized as a loyalty action
  • Improved review volume and strengthened purchase confidence for new shoppers

Success Metrics: Loyalty Adoption, Repeat Engagement & Referral Performance

  • 22.67% Loyalty Usage Rate Among Repeat Customers

A significant portion of repeat customers actively engaged with the loyalty program, indicating that the program influenced repeat-purchase behavior

  • 16.34% Referral Completion Rate + 208 Completed Referrals

Referrals delivered measurable advocacy performance, resulting in 208 completed referrals overall

  • 9.98% Orders from Loyalty Members

Nearly 1 in 10 orders were driven by loyalty members, highlighting strong program adoption

‍*Timeline

(June 2024- January 2026)

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