Track views, redemptions, discount amounts, and compare time periods to optimize campaigns.
Analytics help you understand which vouchers are working and why. Track views, redemptions, discount amounts, and member engagement to optimize your promotional campaigns.
π‘ Beta Feature: Analytics are actively being refined. We welcome feedback on what metrics would be most valuable for your business.
Access voucher analytics from Campaigns > Vouchers > Analytics.
The overview page shows all your vouchers with key metrics at a glance:
Metric | What It Tells You |
|---|---|
Views | Interest and reach |
Times Used | Actual redemptions |
Total Discount Given | Campaign cost |
Unique Members | Customer reach |
How many times customers have viewed the voucher detail page.
How it's tracked: Cookie-based, one view per visitor per session (24 hours). Repeat visits from the same person don't count as new views.
Why it matters: High views show your voucher is getting attention. Low views may indicate visibility or promotion issues.
Interpretation:
High views, low redemptions β Offer may not be compelling enough
Low views, high redemptions β Voucher is working but needs more exposure
High views, high redemptions β Winning combination
Total number of successful redemptions.
Why it matters: This is the ultimate measure of voucher success. Redemptions mean customers took action.
Interpretation:
Track against your goals (100 redemptions in first week)
Compare across vouchers (which types perform best)
Monitor for unusual patterns (sudden spikes or drops)
Sum of all discount amounts across all redemptions.
Why it matters: This is your campaign cost. Ensure you're getting value (customer acquisition, increased sales) for the discount investment.
Example:
50 redemptions Γ average Rs 8 discount = Rs 400 total discount given
If those 50 customers spent Rs 2,500 total, your discount cost was 16% of revenue
Number of different customers who have redeemed this voucher.
Why it matters: Shows customer reach. 100 redemptions by 100 members is different from 100 redemptions by 10 members.
Interpretation:
Unique Members < Times Used β Some customers using multiple times (if allowed)
Unique Members = Times Used β Each customer used it once
Higher unique count β Broader customer reach
Sort your voucher list by:
Sort By | Use When |
|---|---|
Newest/Oldest First | Finding recent or historical vouchers |
Most/Fewest Views | Identifying popular or underperforming vouchers |
Most/Fewest Redemptions | Finding top/bottom performers |
Highest/Lowest Discount Given | Analyzing cost by voucher |
Most/Fewest Members Reached | Measuring customer penetration |
Most/Least Recently Viewed | Finding currently active vouchers |
Only show active vouchers: Hide expired or deactivated vouchers to focus on current campaigns.
Click View Details on any voucher to access in-depth analytics.
Choose from:
Range | Compares |
|---|---|
This Day | Today vs. Yesterday |
This Week | This week vs. Last week |
This Month | This month vs. Last month |
This Year | This year vs. Last year |
Use navigation arrows to view previous periods.
Each metric shows:
Current Period Value β The number for selected time range
Previous Period Value β Same metric from comparison period
Percentage Change β Growth or decline
Trend Indicator β Up (β), Down (β), or Stable (β)
Example:
Voucher Views
This Month: 1,234
Last Month: 890
Change: +38.7% βTrend | Color | Meaning |
|---|---|---|
β Positive | Green | Metric improved |
β Negative | Red | Metric declined |
β Stable | Gray | No significant change |
For most metrics, positive is good. But for "Total Discount Given," negative growth might actually be desirable (cost control).
Line chart showing views over time:
X-axis: Time periods (days, weeks, months, years based on range)
Y-axis: View count
Interaction: Hover for exact values
What to look for:
Spikes on specific dates (promotions, events)
Gradual trends (growing or declining interest)
Day-of-week patterns (weekend vs. weekday)
Correlation with marketing activities
Conversion Rate = (Redemptions / Views) Γ 100Example: 50 redemptions from 1,000 views = 5% conversion rate
Rate | Interpretation |
|---|---|
< 1% | Offer needs improvement or wrong audience |
1-3% | Average performance |
3-5% | Good performance |
> 5% | Excellentβlearn from this voucher |
Average Discount = Total Discount Given / Times UsedExample: Rs 400 total discount / 50 redemptions = Rs 8 average
Track this to ensure individual discounts match expectations.
CAC = Total Discount Given / New Customers Acquired
Example: Rs 400 discount / 30 new customers = Rs 13.33 per customer
Compare against customer lifetime value to assess ROI.
View multiple vouchers side-by-side in the overview to identify:
Top performers: High views AND redemptions
Hidden gems: Low views but high conversion
Underperformers: High views but few redemptions
Costly campaigns: High discount given with low unique members
Which voucher type performs best? Compare percentage vs. fixed vs. free product
What's the optimal discount level? Does 20% outperform 15%?
When do customers engage? Weekend vs. weekday patterns
Which targeting works? New members vs. all members vs. VIPs
Create similar vouchers with one variable changed:
Test discount level:
SUMMER15: 15% off
SUMMER20: 20% off
Compare redemptions and discount cost
Test minimum purchase:
SPEND25: $10 off $25+
SPEND50: $10 off $50+
Compare redemptions and average order value
The voucher is being seen but not used.
Possible causes:
Discount not compelling enough
Requirements too strict (minimum purchase, eligibility)
Expiration too soon
Design doesn't convey value
Actions:
Increase discount or remove minimum
Extend validity period
Improve voucher design
Simplify eligibility rules
The voucher isn't being discovered.
Possible causes:
Not marked as public or homepage featured
No promotional support
Customers don't know to look for vouchers
Actions:
Enable "Show on Homepage"
Share on social media
Email to customer list
Add in-store signage
Spending more on discounts than expected.
Possible causes:
No maximum discount cap (percentage vouchers)
Very attractive offer driving high volume
Missing minimum purchase requirement
Actions:
Add or lower the discount cap
Introduce minimum purchase
Reduce total usage limit
End campaign early if needed
Single customer using voucher excessively.
Check:
Is per-member limit set?
Is single-use enabled?
Actions:
Enable single-use or set per-member limit
For existing voucher, deactivate and create new with limits
Currently, analytics are viewable in the dashboard. Data export features are planned for future releases.
For now, you can:
Screenshot key metrics
Record metrics manually for tracking
Use the dashboard for ongoing monitoring
Daily: Check active campaigns for anomalies
Weekly: Review conversion rates and trends
Monthly: Comprehensive campaign analysis
Per Campaign: Post-campaign review when voucher expires
Keep records of:
Campaign goals (target redemptions, budget)
Actual performance (redemptions, cost)
Lessons learned (what worked, what didn't)
This historical data helps optimize future campaigns.
If a voucher is underperforming:
Diagnose quickly (views, conversion, eligibility)
Make changes (edit is usually immediate)
Monitor impact
If a voucher is over-performing (costing too much):
Reduce limits or deactivate
Learn from the success for future campaigns
Creating Vouchers β Create optimized vouchers
Advanced Targeting β Improve targeting
Best Practices β Campaign optimization tips