Discount Analytics Skill

Purpose: Marketing attribution and promo code ROI tracking

What This Skill Does

Analyzes discount code performance through Lemon Squeezy API:

1. Fetch all discount codes
2. Calculate redemptions per code
3. Track revenue by code (gross vs. discounted)
4. Identify top-performing codes
5. Calculate conversion rates
6. ROI analysis by marketing channel
7. Identify underperforming codes

When to Use This Skill

Common use cases:

• Post-launch review: "Which launch codes worked best?"
• Marketing attribution: "Did PODCAST30 drive more sales than EMAIL25?"
• ROI calculation: "Was LAUNCH50 worth the 50% discount?"
• Campaign planning: "What discount % gets best results?"
• Budget allocation: "Which channels should we invest more in?"
• Code cleanup: "Which codes are unused and can be deleted?"

API Authentication

Uses

LEMON_SQUEEZY_API_KEY

environment variable (already set in Cloudflare).

Usage Examples

Example 1: All-time performance

User: Show me discount code performance
Assistant: [Uses discount-analytics skill to fetch all codes and calculate metrics]

Example 2: Specific code

User: How many people used LAUNCH50?
Assistant: [Filters analytics for LAUNCH50 specifically]

Example 3: Compare codes

User: Which worked better: PODCAST30 or EMAIL30?
Assistant: [Compares redemptions, revenue, and conversion rates]

Implementation

Step 1: Fetch All Discount Codes

Endpoint:

GET https://api.lemonsqueezy.com/v1/discounts

Request:

curl "https://api.lemonsqueezy.com/v1/discounts?filter[store_id]=YOUR_STORE_ID&page[size]=100" \
  -H "Accept: application/vnd.api+json" \
  -H "Authorization: Bearer $LEMON_SQUEEZY_API_KEY"

Response structure:

{
  "data": [
    {
      "type": "discounts",
      "id": "1",
      "attributes": {
        "store_id": 264940,
        "name": "Launch Week - 50% Off",
        "code": "LAUNCH50",
        "amount": 50,
        "amount_type": "percent",
        "status": "published",
        "duration": "once",
        "max_redemptions": 100,
        "redemptions_count": 45,
        "is_limited_redemptions": true,
        "expires_at": "2026-01-12T23:59:59Z",
        "created_at": "2026-01-05T10:00:00Z"
      }
    },
    {
      "type": "discounts",
      "id": "2",
      "attributes": {
        "store_id": 264940,
        "name": "Podcast Appearance Code",
        "code": "PODCAST30",
        "amount": 30,
        "amount_type": "percent",
        "status": "published",
        "duration": "once",
        "max_redemptions": null,
        "redemptions_count": 23,
        "is_limited_redemptions": false,
        "expires_at": null,
        "created_at": "2026-01-07T10:00:00Z"
      }
    }
  ],
  "meta": {
    "page": {
      "currentPage": 1,
      "from": 1,
      "lastPage": 1,
      "perPage": 100,
      "to": 2,
      "total": 2
    }
  }
}

Step 2: Fetch Orders with Discount Usage

Endpoint:

GET https://api.lemonsqueezy.com/v1/orders

Request:

curl "https://api.lemonsqueezy.com/v1/orders?filter[store_id]=YOUR_STORE_ID&page[size]=100" \
  -H "Accept: application/vnd.api+json" \
  -H "Authorization: Bearer $LEMON_SQUEEZY_API_KEY"

Filter orders that used discounts:

orders.filter(order => order.attributes.discount_total > 0)

Extract discount code from order:

order.attributes.first_order_item.discount_code // "LAUNCH50"

Step 3: Calculate Metrics

Per-code metrics:

// For each discount code
const metrics = {
  code: "LAUNCH50",
  redemptions: 45,
  redemption_rate: "45%", // 45/100 max redemptions
  total_revenue: 337.50, // Sum of all orders with this code (after discount)
  gross_revenue: 675.00, // What revenue would have been without discount
  discount_amount: 337.50, // Total discount given
  average_order: 7.50, // total_revenue / redemptions
  status: "Active" | "Expired" | "Maxed Out",
  expires: "2026-01-12",
  created: "2026-01-05"
};

Overall metrics:

const summary = {
  total_codes: 5,
  active_codes: 3,
  total_redemptions: 112,
  total_revenue_with_discounts: 892.00,
  total_discount_given: 445.00,
  average_discount_percent: 35,
  most_popular_code: "LAUNCH50"
};

Step 4: Rank by Performance

Sort by redemptions (popularity):

codes.sort((a, b) => b.redemptions_count - a.redemptions_count);

Sort by revenue (value):

codes.sort((a, b) => b.total_revenue - a.total_revenue);

Sort by conversion rate (efficiency):

codes.sort((a, b) => b.redemption_rate - a.redemption_rate);

Output Format

# 📊 Discount Code Analytics

**Report Generated:** January 6, 2026 at 10:00 AM AEDT
**Reporting Period:** All Time

---

## 💰 Summary

| Metric | Value |
|--------|-------|
| **Total Codes** | 5 active |
| **Total Redemptions** | 112 |
| **Revenue (with discounts)** | $892.00 AUD |
| **Revenue (without discounts)** | $1,337.00 AUD |
| **Total Discount Given** | $445.00 AUD |
| **Average Discount** | 33.3% |

---

## 🏆 Top Performing Codes

### 1. LAUNCH50 - Launch Week Promotion
- **Redemptions:** 45 / 100 (45% utilization)
- **Revenue Generated:** $337.50 AUD (after 50% discount)
- **Gross Revenue Impact:** $675.00 AUD
- **Discount Given:** $337.50 AUD
- **Average Order:** $7.50 AUD
- **Status:** ✅ Active (expires Jan 12)
- **ROI:** Strong - Drove 40% of all sales

### 2. PODCAST30 - Podcast Appearance
- **Redemptions:** 23 (unlimited)
- **Revenue Generated:** $241.50 AUD (after 30% discount)
- **Gross Revenue Impact:** $345.00 AUD
- **Discount Given:** $103.50 AUD
- **Average Order:** $10.50 AUD
- **Status:** ✅ Active (no expiry)
- **ROI:** Excellent - Best revenue per redemption

### 3. EMAIL25 - Email List
- **Redemptions:** 18 (unlimited)
- **Revenue Generated:** $202.50 AUD (after 25% discount)
- **Gross Revenue Impact:** $270.00 AUD
- **Discount Given:** $67.50 AUD
- **Average Order:** $11.25 AUD
- **Status:** ✅ Active (no expiry)
- **ROI:** Good - Consistent performance

### 4. BETA100 - Beta Readers
- **Redemptions:** 20 / 20 (100% utilization - MAXED OUT)
- **Revenue Generated:** $0.00 AUD (100% discount)
- **Gross Revenue Impact:** $300.00 AUD (value delivered)
- **Discount Given:** $300.00 AUD
- **Average Order:** $0.00 AUD
- **Status:** 🔴 Maxed Out
- **ROI:** N/A - Goodwill/marketing investment

### 5. MUSEPANTS - Special Giveaway
- **Redemptions:** 2 / 2 (100% utilization - MAXED OUT)
- **Revenue Generated:** $0.00 AUD (100% discount)
- **Gross Revenue Impact:** $30.00 AUD
- **Discount Given:** $30.00 AUD
- **Average Order:** $0.00 AUD
- **Status:** 🔴 Maxed Out (expires Jan 31)
- **ROI:** N/A - Special reward

### 6. FRIEND15 - Referral Program
- **Redemptions:** 4 (unlimited)
- **Revenue Generated:** $51.00 AUD (after 15% discount)
- **Gross Revenue Impact:** $60.00 AUD
- **Discount Given:** $9.00 AUD
- **Average Order:** $12.75 AUD
- **Status:** ✅ Active (no expiry)
- **ROI:** Low volume, high margin

---

## 📈 Performance Insights

### Best for Volume (Most Redemptions)
1. LAUNCH50 - 45 redemptions
2. PODCAST30 - 23 redemptions
3. BETA100 - 20 redemptions

### Best for Revenue (Highest Total Revenue)
1. LAUNCH50 - $337.50 AUD
2. PODCAST30 - $241.50 AUD
3. EMAIL25 - $202.50 AUD

### Best for Margin (Least Discount Given)
1. FRIEND15 - 15% average discount
2. EMAIL25 - 25% average discount
3. PODCAST30 - 30% average discount

### Highest Average Order Value
1. FRIEND15 - $12.75 per order
2. EMAIL25 - $11.25 per order
3. PODCAST30 - $10.50 per order

---

## 🎯 Marketing Attribution

**Channel Performance:**

| Channel | Code | Redemptions | Revenue | Avg Discount | ROI Grade |
|---------|------|-------------|---------|--------------|-----------|
| Launch Event | LAUNCH50 | 45 | $337.50 | 50% | A+ |
| Podcast | PODCAST30 | 23 | $241.50 | 30% | A |
| Email List | EMAIL25 | 18 | $202.50 | 25% | B+ |
| Referrals | FRIEND15 | 4 | $51.00 | 15% | C |

**Insights:**
- **Launch event** drove 40% of all sales (highest volume)
- **Podcast appearance** had best revenue per redemption ($10.50 avg)
- **Email list** most sustainable (lower discount, steady redemptions)
- **Referral program** low volume (needs promotion)

---

## 💡 Recommendations

### High Priority
1. **LAUNCH50 expiring soon** (Jan 12) - Consider extending or creating LAUNCH25 successor
2. **PODCAST30 performing well** - Book more podcast appearances
3. **BETA100 maxed out** - Create BETA2026 for new batch if needed

### Medium Priority
4. **EMAIL25 steady performer** - Promote more to email list
5. **FRIEND15 underutilized** - Promote referral program more actively

### Low Priority
6. **MUSEPANTS completed** - Archive (2/2 redemptions used)

---

## 🔍 Detailed Code Status

**Active Codes:** 4
- LAUNCH50 (expires Jan 12)
- PODCAST30 (no expiry)
- EMAIL25 (no expiry)
- FRIEND15 (no expiry)

**Maxed Out Codes:** 2
- BETA100 (20/20 used)
- MUSEPANTS (2/2 used)

**Expired Codes:** 0

---

## 📊 Time Series Analysis

**Redemptions Over Time:**

| Date Range | LAUNCH50 | PODCAST30 | EMAIL25 | Total |
|------------|----------|-----------|---------|-------|
| Jan 5-7 | 25 | 0 | 5 | 30 |
| Jan 8-10 | 15 | 12 | 8 | 35 |
| Jan 11-13 | 5 | 11 | 5 | 21 |

**Insights:**
- LAUNCH50 peaked early (launch day excitement)
- PODCAST30 steady post-launch (evergreen content)
- EMAIL25 consistent (recurring campaigns)

---

## 🎨 Campaign Planning

**What worked:**
- ✅ 50% discount drove high volume (45 redemptions)
- ✅ 30% discount had best revenue per redemption
- ✅ Podcast codes convert well (23 redemptions)
- ✅ Time-limited codes create urgency

**What didn't work:**
- ❌ Referral program underutilized (only 4 redemptions)
- ⚠️ 100% discount codes are generous but zero revenue

**Optimize next launch:**
1. Create tiered launch codes:
   - EARLYBIRD40 (first 50 customers)
   - LAUNCH30 (next 100 customers)
   - LAUNCH20 (extended run)
2. More podcast appearances (proven channel)
3. Promote referral program actively
4. Test lower discounts (20-25%) to improve margins

---

## 📉 Underperforming Codes

**Codes with <5 redemptions:**
- FRIEND15: 4 redemptions (needs promotion)

**Action items:**
1. Email existing customers about referral program
2. Add referral CTA to order confirmation
3. Create social media posts promoting FRIEND15
4. Consider increasing incentive (15% → 20%)

Error Handling

No discount codes found:

📭 No Discount Codes Found

**Possible reasons:**
- No codes created yet
- All codes expired/deleted
- API key lacks discount read permissions

**Next steps:**
1. Create first discount code: `/create-discount-code`
2. Verify API key has "Read discounts" permission
3. Check Lemon Squeezy dashboard: https://app.lemonsqueezy.com/discounts

API Error:

❌ Cannot Fetch Discount Analytics

**API Error:** [Error message]

**Common causes:**
- API key lacks discount read permissions
- Network timeout
- Lemon Squeezy service issue

**Solutions:**
1. Verify API key has "Read discounts" scope
2. Retry in 1 minute
3. Check Lemon Squeezy status: https://status.lemonsqueezy.com

Advanced Analytics

Revenue Attribution Model

Full attribution:

// Order used LAUNCH50 (50% off $15 = $7.50 paid)
{
  gross_revenue: 15.00, // What order would have been
  discount_amount: 7.50, // Amount discounted
  actual_revenue: 7.50, // What you received
  attribution: "LAUNCH50", // Marketing channel
  profit_margin: "50%", // Actual revenue / gross revenue
}

Lifetime Value (LTV) tracking:

// Customer acquired via LAUNCH50, then purchased again at full price
{
  acquisition_code: "LAUNCH50",
  first_order: 7.50,
  repeat_orders: 15.00,
  total_ltv: 22.50,
  acquisition_cost: 7.50, // Discount given
  ltv_to_cac_ratio: 3.0, // Excellent (3:1)
}

Cohort Analysis

By acquisition channel:

| Code | Customers | Repeat Rate | Avg LTV | Best Channel? |
|------|-----------|-------------|---------|---------------|
| LAUNCH50 | 45 | 8% | $8.10 | No (low repeat) |
| EMAIL25 | 18 | 22% | $13.75 | Yes (high repeat) |
| PODCAST30 | 23 | 17% | $12.30 | Good |

**Insight:** EMAIL25 customers more loyal (lower discount → higher perceived value)

A/B Test Results

Test: 30% vs 50% discount

| Metric | 30% Discount | 50% Discount | Winner |
|--------|--------------|--------------|--------|
| Redemptions | 23 | 45 | 50% |
| Revenue | $241.50 | $337.50 | 50% |
| Margin | 70% | 50% | 30% |
| Avg Order | $10.50 | $7.50 | 30% |

**Conclusion:** 50% drives more volume, 30% drives better margins
**Recommendation:** Use 50% for launch, 30% for ongoing

Automation Opportunities

Auto-alerts:

• Code reaching 80% of max redemptions → "LAUNCH50 almost full!"
• Code expiring in 48 hours → "LAUNCH50 expires soon, extend?"
• Code with 0 redemptions after 7 days → "PODCAST30 unused, promote?"
• High-performing code → "EMAIL25 converting well, increase budget?"

Auto-optimization:

• If code >90% redeemed → Auto-create successor code
• If code <5% redeemed after 1 week → Auto-suggest discount increase
• If code driving high repeat purchases → Auto-suggest similar codes

Related Skills

• /create-discount-code

  - Create new codes based on analytics

• /sales-dashboard

  - Overall revenue metrics

• /customer-lookup

  - See which codes specific customers used

API Documentation

Lemon Squeezy Discounts API:

• List discounts: https://docs.lemonsqueezy.com/api/discounts#list-all-discounts
• Get discount: https://docs.lemonsqueezy.com/api/discounts#retrieve-a-discount
• Discount usage: Calculated from orders API

Export Options

CSV export:

Code,Redemptions,Max Redemptions,Revenue,Discount Given,Status,Expires
LAUNCH50,45,100,$337.50,$337.50,Active,2026-01-12
PODCAST30,23,,-,$241.50,$103.50,Active,-
EMAIL25,18,,-,$202.50,$67.50,Active,-

JSON export:

{
  "generated_at": "2026-01-06T10:00:00Z",
  "summary": {
    "total_codes": 5,
    "total_redemptions": 112,
    "total_revenue": 892.00
  },
  "codes": [
    {
      "code": "LAUNCH50",
      "redemptions": 45,
      "revenue": 337.50,
      "status": "active"
    }
  ]
}

Performance Benchmarks

Industry standards (digital products):

• Redemption rate: 3-8% (percentage of visitors who use code)
• Average discount: 20-30%
• Launch codes: 40-50% typical
• Ongoing codes: 15-25% typical
• 100% codes: Use sparingly (goodwill only)

Your performance:

• LAUNCH50: 45% redemption rate (excellent)
• PODCAST30: 30% discount, 23 redemptions (strong)
• EMAIL25: 25% discount, 18 redemptions (good)

Recommendations:

• You're in the optimal range
• LAUNCH50 drove urgency effectively
• 30% sweet spot for ongoing codes
• Consider testing 20% for higher margins