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Analytics Dashboard

Monitor your loyalty program's performance with real-time metrics, trends, and insights.

Accessing Analytics​

Click Analytics in the left sidebar (under the Analytics group):

Analytics Overview

ROI Analytics

Churn Analytics

Key Metrics​

📊 Active Members​

What it means: Total customers enrolled in your program Why it matters: Shows program reach

Example: 12,450 active members
  ├─ 3,245 in last 30 days (active)
  ├─ 6,120 in last 90 days (semi-active)
  └─ 3,085 no activity (dormant, 90+ days)

Benchmark: 30-50% of your customer base should be enrolled.

💰 Points in Circulation​

What it means: Total unredeemed points across all members Why it matters: Shows your liability and member engagement

Example: 2,567,890 total points issued
  ├─ 1,890,450 unredeemed (members hold)
  ├─ 677,440 redeemed (spent on rewards)
  └─ If avg reward costs 1000 pts, you owe ~$1,890 in value

Healthy range: 3-6 months of expected redemptions

👥 Average Points Per Member​

What it means: (Total Points Issued) ÷ (Number of Members) Why it matters: Shows earning velocity

Example: 2,567,890 points ÷ 12,450 members = 206 pts/member
  High (300+): Customers earning fast, rewards may need adjustment
  Medium (150-250): Balanced earning
  Low (<100): Low engagement, consider earn rule boost

🎁 Redemption Rate​

What it means: What % of issued points get redeemed Why it matters: Shows reward appeal

Example: 677,440 redeemed ÷ 2,567,890 issued = 26% redemption rate

  High (40%+): Customers love your rewards, healthy program
  Medium (25-40%): Good balance
  Low (<20%): Members earning but not redeeming (rewards unappealing?)

📈 Engagement Rate​

What it means: % of members with activity in selected period Why it matters: Shows program stickiness

Example: 42% engagement
  ├─ 5,250 members earned points this month
  ├─ 4,120 members viewed their balance
  └─ 2,890 members redeemed rewards

Benchmark: Aim for 30%+ for healthy programs.

Charts & Trends​

The Analytics page shows real-time charts for points earned vs. redeemed, member growth, top earning rules, and redemptions by reward — all filterable by date range.

What to look for:

  • Spikes on weekends = Normal (shopping days)
  • Consistent daily line = Steady engagement
  • Gaps in redemptions = Check reward appeal

Healthy growth: 2-5% monthly increase.

Use this to:

  • Identify which rules drive engagement
  • Disable underperforming rules
  • Spot rewards that aren't being claimed and adjust their cost

Campaign Performance​

Open Segments → click a sent campaign to see per-campaign analytics. Every event (sent, bounced, opened, clicked, unsubscribed, complained) is stored per recipient and aggregated in real time.

Good benchmarks:

  • Delivery rate: > 98%
  • Open rate: 25–35%
  • Click rate: 3–7%
  • Unsubscribe: < 0.5%
  • Complaint: < 0.1%

See Campaign Analytics for full metric definitions, UTM tracking, and open/click tracking details.

Member Analytics​

The ROI sub-page shows customer lifetime value distribution and predicted revenue:

ROI Analytics

The Churn sub-page shows churn risk distribution across your member base — Low, Medium, and High risk — and flags members who haven't purchased recently:

Churn Analytics

Use churn analytics to build a win-back segment and target at-risk members with a re-engagement campaign.

Points Economics​

Key ratios to monitor:

MetricHealthy Range
Points per $1 spent0.8 – 1.5
Cost per point< $0.02
Redemption margin> 50%
Loyalty order uplift+$10 – $30 vs no-loyalty orders

A slightly higher-than-configured points-per-dollar rate is normal when bonus rules (referrals, birthdays) are active.

Filtering & Date Ranges​

Use the date range selector at the top of the Analytics page. Presets: Last 7 Days, Last 30 Days (default), Last 90 Days, Last 12 Months, or a custom date range. Charts update immediately on selection.

Exporting Data​

Click Export CSV on any chart or metric table to download the underlying data for analysis in Excel or Sheets.

Best Practices​

Weekly Review​

Every Monday morning, check:

  • Points issued last week (vs. prior week)
  • Member growth
  • Redemption rate

Goal: Ensure program is healthy.

Monthly Deep Dive​

First of month, review:

  • Top earning rules
  • Top redemption rewards
  • Campaign performance
  • Churn risk members
  • CLV trends

Goal: Identify what's working, what needs adjustment.

Quarterly Strategy Session​

Every 3 months:

  • Review full-year trends
  • Compare to benchmarks
  • Adjust earn/reward mix
  • Plan campaigns
  • Set growth targets

Common Questions​

Q: Why did points issued drop this week? A: Check if:

  • You disabled an earn rule
  • Sales were lower (fewer orders)
  • It's a holiday/slow season

Q: Should I worry about low redemption rate? A: Not always. Low (20%) can be healthy if:

  • Customers are saving for premium rewards (aspirational)
  • You want to keep points circulating

High (50%+) suggests rewards are too cheap.

Q: What's a good CLV? A: Depends on your margins. As a rule:

  • CLV should be 3-5x first purchase value
  • Example: First order $50 → CLV target $150-250

Q: How do I improve repeat purchase rate? A: Send campaigns to:

  • "Points Near Reward" segment (nudge them to redeem)
  • New members (encourage habit formation)
  • Lapsed buyers (win them back)

Next Steps​