# Referrals

{% hint style="info" %}

* Basic features are available for **All** plans
* Advanced features such as Shopify customer tagging, Order tags,... are available for **Essential, Advanced** and **Ultimate** plans
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### What is "Referrals" feature?

The referral program lets customers share your store via social channels using a unique referral link from the loyalty widget. The system tracks referrals automatically, ensuring easy monitoring and rewarding of new customer referrals.

### Why do you need "Referrals" feature?

Grow your community with referral campaigns by turning loyal customers into brand advocates. With the Joy Loyalty Program, setting up and managing referrals is easy. This guide will help you launch your first campaign to reward customers and attract new ones.

### How to set up "Referrals" feature?

{% stepper %}
{% step %}
**Get access to "Referrals"**

Choose **Reward programs** -> Go to **Referrals**

<figure><img src="https://1367962225-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FpAxc1paAgix94BNLrez8%2Fuploads%2Fgit-blob-209dff12af63e634112af61f858e8e666abab349%2Fimage%20(353)%20(2).png?alt=media" alt=""><figcaption></figcaption></figure>
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{% step %}
**Set up rewards for Referees and Referers**

Choose the rewards for both the referrers (customers making the referral) and the referees (new customers).

**For Referees:**

| Reward type             | Description                                      |
| ----------------------- | ------------------------------------------------ |
| **Points**              | Award loyalty points                             |
| **Store Credit**        | Award fixed store credit amount                  |
| **Discount percentage** | Percentage off their first order (e.g., 10% off) |
| **Discount amount**     | Fixed amount off (e.g., $10 off)                 |

**For Referrers:**

| Reward type                    | Description                                            |
| ------------------------------ | ------------------------------------------------------ |
| **Points**                     | Award loyalty points per referral                      |
| **Store Credit (Fixed)**       | Award fixed store credit per successful referral       |
| **Store Credit (Order-based)** | Award store credit based on % of referee's order value |
| **Discount percentage**        | Percentage discount coupon                             |
| **Discount amount**            | Fixed amount discount coupon                           |

> **Tier-based rewards:** Customize rewards based on referrer's VIP tier, making the program more attractive to high-value customers.

<figure><img src="https://1367962225-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FpAxc1paAgix94BNLrez8%2Fuploads%2Fgit-blob-e107afdb15fcabf18e499f79dfba4d5285bc3dfe%2Fimage%20(459)%20(2).png?alt=media" alt=""><figcaption></figcaption></figure>
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{% step %}
**Referral redirection URL**

By default, this URL is set to your homepage, but you can modify it to redirect customers to any page you prefer

<figure><img src="https://1367962225-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FpAxc1paAgix94BNLrez8%2Fuploads%2Fgit-blob-216eb3c8c6fbc8869cdde7427d030ab49a35640b%2Fimage%20(410)%20(2).png?alt=media" alt=""><figcaption></figcaption></figure>
{% endstep %}

{% step %}
**Choose sharing channels**

Enable the platforms where your customers can share their referral links. Available channels: **Twitter (X)**, **WhatsApp**, **Threads**, **Facebook**, **Email**, **Messenger**, and **Line**.

For most channels (Twitter, WhatsApp, Threads, Messenger, Line, Email), you can set a custom pre-filled message with the `{{shop_name}}` variable. Facebook uses the referral link only (no custom message).

When **Email** is enabled, customers can share their referral link directly via their email client — the referral link is automatically appended to the message you configure.

<figure><img src="https://1367962225-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FpAxc1paAgix94BNLrez8%2Fuploads%2Fgit-blob-916fcd30893949cf8cfd319b2a8f652dce1cf350%2Fimage%20(155)%20(2).png?alt=media" alt=""><figcaption></figcaption></figure>
{% endstep %}

{% step %}
**Advanced settings**

a. **Shopify order tagging and attribution**

* **Order tags**: Automatically adds "Joy Referral" tag to orders from referrals to help you track and measure program success
* **Attribution settings**: Add detailed context to referral order to help track referral sources

b. **Shopify customer tagging**

* **Customer referral tags:** Tag new customers with "Joy referral"
* **Customer referee tags**: Tag referring customers as "Joy referee"

<figure><img src="https://1367962225-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FpAxc1paAgix94BNLrez8%2Fuploads%2Fgit-blob-5ea56e867f24d82f8c395564a7e1d98e0448a7ce%2Fimage%20(357)%20(2).png?alt=media" alt=""><figcaption></figcaption></figure>
{% endstep %}

{% step %}
**Anti cheat**

Enable fraud prevention to keep your referral program fair and secure

* **Similar email detection**: Block variations of email addresses
* **Browser tracking**: Prevent multiple referrals from the same browser
* **IP address monitoring**: Track referrals coming from the same IP address
* **Previous purchase history**: Check emails against previous purchase records

<figure><img src="https://1367962225-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FpAxc1paAgix94BNLrez8%2Fuploads%2Fgit-blob-f19fd53e0636a49a25a8c677bfafa1458049ca7c%2Fimage%20(358)%20(2).png?alt=media" alt=""><figcaption></figcaption></figure>
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{% step %}
**Save** to apply all your changes and hit **Turn on** to activate your program
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***

### Why referrals work

Referrals are the highest-trust acquisition channel available to any ecommerce brand. A recommendation from a friend removes the biggest barrier to purchase — doubt.

* **Referred customers convert 30% more** than traffic from paid ads (Nielsen)
* **Referral programs generate 2× the sales** of paid advertising at a fraction of the cost (McKinsey)
* **Referred customers have higher LTV** — they already come pre-qualified by someone who knows your brand

The mechanics are simple: your existing customer puts their personal credibility behind your product. The reward is compensation for that advocacy — not a bribe, but a thank-you that makes sharing feel worthwhile.

**The double-sided structure is key.** Giving a reward to *both* referrer and referee removes friction on both ends. The referrer feels generous (not mercenary), and the referee has a real reason to act on the recommendation now.

***

### How to set reward amounts

A useful rule of thumb: **the combined value of both rewards should not exceed your average first-order gross margin**, while still feeling meaningful to both parties.

| Variable            | What to consider                                                                      |
| ------------------- | ------------------------------------------------------------------------------------- |
| **Your AOV**        | Higher AOV = you can afford a larger fixed reward                                     |
| **Your margin**     | Don't give away more than you can absorb on acquisition                               |
| **Your CAC**        | If you spend $30 on ads to acquire a customer, a $15 referral reward is a great trade |
| **Perceived value** | A $10 reward feels significant for a $30 order; trivial for a $300 order              |

**Referrer reward** — should feel like meaningful recognition, not an afterthought. Points work well for high-frequency stores; store credit or % discount works well for high-AOV stores.

**Referee reward** — should lower the barrier to that first purchase. A % discount (e.g. 15% off) typically outperforms a fixed amount for first-time buyers because it scales with their order.

***

### Industry playbooks

Different verticals have different AOV, purchase frequency, and customer psychology. Use these starting points and adjust based on your own data.

{% tabs %}
{% tab title="Beauty & Skincare" %}
**Profile:** High repeat purchase, socially driven, recommendations from friends carry enormous weight.

**Recommended structure:**

|              | Reward type               | Suggested value                 |
| ------------ | ------------------------- | ------------------------------- |
| **Referee**  | % discount on first order | 15–20% off                      |
| **Referrer** | Points                    | 300–500 pts (≈$5–10 equivalent) |

**Why it works:** Beauty customers trust peer recommendations over ads. A generous first-order discount converts referred friends immediately. Points keep the referrer engaged in the broader loyalty program.

**Tips:**

* Promote via post-purchase email and loyalty widget
* Highlight the referee reward in sharing copy: *"Give your friend 15% off"*
* Tie tier-based bonuses for Gold/Platinum referrers to amplify top customers
  {% endtab %}

{% tab title="Fashion & Apparel" %}
**Profile:** Style-conscious, community-oriented, moderate-to-high AOV, seasonal purchase cadence.

**Recommended structure:**

|              | Reward type               | Suggested value     |
| ------------ | ------------------------- | ------------------- |
| **Referee**  | % discount on first order | 10–15% off          |
| **Referrer** | Store credit (fixed)      | $10–15 store credit |

**Why it works:** Store credit feels more premium than points for fashion buyers — it signals real value. A % discount scales with the size of the referee's first order, making it attractive across price points.

**Tips:**

* Launch referral campaigns around new collection drops or peak seasons (BFCM)
* Feature UGC ("my friend got me into this brand") in referral email copy
* Consider a short reward validity window (30–60 days) to drive urgency
  {% endtab %}

{% tab title="Health & Supplements" %}
**Profile:** Subscription-prone, high LTV, purchase driven by results and trusted advice.

**Recommended structure:**

|              | Reward type                  | Suggested value                 |
| ------------ | ---------------------------- | ------------------------------- |
| **Referee**  | % discount on first order    | 15% off                         |
| **Referrer** | Store credit (order-based %) | 10–15% of referee's order value |

**Why it works:** Order-based store credit aligns the referrer's incentive with the referee's spend — the more the friend buys, the better the reward. This naturally encourages referrers to share with genuinely interested contacts.

**Tips:**

* Highlight results and transformation in referral copy, not just the reward
* Referral flows pair well with subscription upsells for the referee
* Enable browser tracking and IP monitoring to prevent abuse from deal-seekers
  {% endtab %}

{% tab title="Home & Lifestyle" %}
**Profile:** Lower purchase frequency, higher AOV, considered purchases, strong word-of-mouth influence.

**Recommended structure:**

|              | Reward type           | Suggested value        |
| ------------ | --------------------- | ---------------------- |
| **Referee**  | Fixed discount amount | $15–25 off first order |
| **Referrer** | Fixed discount amount | $15–20 off next order  |

**Why it works:** With infrequent purchases and high AOV, fixed amounts feel more tangible than percentages or points. The referee gets a clear, compelling reason to try; the referrer gets a reason to come back sooner.

**Tips:**

* Referral copy should lead with the product story, not just the discount
* Keep the reward validity window generous (90 days) — purchase cycles are long
* Promote via post-delivery email when customer satisfaction is highest
  {% endtab %}

{% tab title="Pet Products" %}
**Profile:** Highly emotional, strong community, recurring needs (food, treats, accessories).

**Recommended structure:**

|              | Reward type               | Suggested value |
| ------------ | ------------------------- | --------------- |
| **Referee**  | % discount on first order | 15% off         |
| **Referrer** | Points                    | 400–600 pts     |

**Why it works:** Pet owners bond over their animals and love sharing finds with other pet parents. Points accumulate well for repeat buyers (food, supplements). A % discount scales nicely across varying basket sizes.

**Tips:**

* Make the referral widget visible on the loyalty page and post-purchase page
* Referral copy angle: *"Your pet-loving friends will thank you"*
* Pet-specific events (National Dog Day, etc.) are great moments to push referral campaigns
  {% endtab %}

{% tab title="Baby & Kids" %}
**Profile:** Trust is paramount, parent communities are highly active, purchase decisions are research-heavy.

**Recommended structure:**

|              | Reward type           | Suggested value        |
| ------------ | --------------------- | ---------------------- |
| **Referee**  | Fixed discount amount | $10–15 off first order |
| **Referrer** | Fixed discount amount | $10 off next order     |

**Why it works:** Parents trust other parents above all. A clean, simple double-sided fixed reward is easy to communicate and feels honest. Avoid complex points structures — the value proposition should be instantly clear.

**Tips:**

* Keep sharing copy simple and safety/trust-forward, not discount-forward
* Enable anti-cheat settings — baby product promotions attract coupon abuse
* Email referral invites perform better than social sharing in this vertical
  {% endtab %}
  {% endtabs %}

***

### Best practices

**Make the reward visible before the ask.** Don't just say "refer a friend" — lead with what both sides get: *"Give 15% off, get 500 points."* The more specific, the better the conversion.

**Promote at the right moment.** The best time to ask for a referral is immediately after a positive experience — post-purchase confirmation page, post-delivery email, or after a glowing review submission.

**Keep it simple for the referee.** The referred friend should land on a page that makes it obvious they're getting a deal and easy to apply it. Avoid sending them to your homepage with no context.

**Enable anti-cheat.** As your referral program grows, so does abuse. Turn on IP monitoring and browser tracking early — retrofitting anti-fraud after the fact is harder than preventing it from the start.

**Review and iterate.** Check your referral conversion rate monthly. If referrers share but referees don't convert, increase the referee reward. If nobody shares, increase the referrer reward or promote the program more actively.