Upsells analytics
The Analytics tab provides detailed insights into how your upsell offers are performing, helping you optimize for better conversions.
Accessing analytics
Go to Upsells → Analytics.
Filters
Filter your analytics data by:
| Filter | Description |
|---|---|
| Date | Select a date range to analyze |
| Source events | Filter by specific source events |
| Target events | Filter by specific target events |
Key metrics
At the top, you'll see four main performance indicators:
| Metric | Description |
|---|---|
| Conversion rate (%) | Percentage of offer views that resulted in completed purchases |
| Revenue ($) | Total revenue generated from upsell offers |
| Time to convert (minutes) | Average time from offer shown to purchase completed |
| Abandoned offers rate (%) | Percentage of offers that were shown but not accepted |
Sales funnel
Visual representation of your upsell funnel:
Views → Clicks → Purchases
| Stage | Description |
|---|---|
| Views | Total number of times offers were displayed to buyers |
| Clicks | Number of times buyers clicked on a target event |
| Purchases | Completed purchases from upsell offers |
Use the funnel to identify where buyers are dropping off. A low click-to-purchase ratio might indicate pricing issues, while a low view-to-click ratio might mean the target events aren't appealing.
Revenue chart
A line graph showing revenue over time:
- X-axis: Dates within your selected range
- Y-axis: Revenue generated
- Lines: Each offer has its own line for easy comparison
This helps you identify:
- Which offers generate the most revenue
- Revenue trends over time
- Impact of seasonal events or promotions
Performance by event
A bar chart with two modes (toggle with dropdown):
Tickets sold mode
- X-axis: Event dates
- Y-axis: Number of tickets sold through upsells
Revenue generated mode
- X-axis: Event dates
- Y-axis: Revenue generated per event
This comparison helps you see which events outperform others as upsell targets.
Analyzing your data
High-performing offers
Look for offers with:
- High conversion rates (above 10%)
- Short time to convert (under 5 minutes)
- Strong revenue generation
Underperforming offers
Investigate offers with:
- Low click rates — target events may not be appealing
- High abandonment — discount may not be attractive enough
- Long conversion times — checkout may have friction
Optimization tips
- Increase discount — If abandonment is high, try a higher percentage
- Change target events — Swap underperforming events for more popular ones
- Adjust timing — Try different offer windows (shorter = more urgency)
- Review pricing — Make sure discounted prices are attractive
Industry benchmarks vary, but a 5-15% conversion rate is typically considered good for post-purchase upsells. Higher than 15% is excellent.
Common reasons include: discount not attractive enough, target events not relevant to the audience, offer window too short, or buyers already purchased everything they wanted.
Currently, analytics are view-only within the platform. For detailed exports, contact support.
Analytics data updates in real-time. Views, clicks, and purchases are recorded immediately.
A short time to convert (under 5 minutes) means buyers are making quick decisions. A long time might indicate hesitation or comparison shopping. Very short times suggest your offers are compelling.
Both matter. High conversion with low revenue means many small purchases. Focus on revenue as your primary metric, but use conversion rate to identify optimization opportunities.