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Experience Analytics

Analytics help you understand how your experiences perform and make data-driven decisions. This guide covers the metrics available for each experience type and how to interpret them.

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Analytics Overview

Access experience analytics from:
  • Dashboard - Aggregate metrics across all experiences
  • Experience Detail - Specific experience performance
Caption: The dashboard provides an overview of all experience performance

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Common Metrics

These metrics apply to all experience types:

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Entry Metrics

MetricDescriptionGood Indicator
Total EntriesNumber of consumers who enteredHigher is generally better
Entry RateEntries per hour/dayConsistent or growing
Unique EntrantsDistinct consumersHigher conversion
Repeat AttemptsConsumers who tried multiple timesInterest level

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Conversion Metrics

MetricDescriptionBenchmark
Completion RateEntries that completed successfully70-90% for queues
Drop-off RateEntries that didn’t completeUnder 30%
Timeout RateEntries that expiredUnder 10%

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Engagement Metrics

MetricDescription
Time in ExperienceAverage duration of participation
Page ViewsTotal views of experience pages
Return VisitsConsumers who came back

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Queue Analytics

Caption: Queue analytics show position distribution and completion rates

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Queue-Specific Metrics

MetricDescriptionWhat It Tells You
Current Queue LengthActive consumers waitingCurrent demand
Average Wait TimeTime from entry to serviceConsumer experience
Processing RateConsumers served per hourThroughput
Position DistributionWhere consumers are in queueBottlenecks

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Queue Funnel

Track consumers through the queue stages:
  1. Entered - Joined the queue
  2. Waiting - Currently in line
  3. At Front - Ready to checkout
  4. Completed - Successfully purchased
  5. Dropped - Left without completing
Caption: The funnel shows where consumers drop off in the queue process

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Queue Performance Indicators

IndicatorGoodWarningCritical
Completion Rate> 80%60-80%< 60%
Average Wait< 30 min30-60 min> 60 min
Timeout Rate< 5%5-15%> 15%

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Draw Analytics

Caption: Draw analytics track entry patterns and winner outcomes

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Draw-Specific Metrics

MetricDescription
Entry TimelineWhen entries were submitted
Entry SourcesWhere entries came from
Winner Confirmation RateWinners who confirmed
Forfeit RateWinners who didn’t claim
Alternate Promotion RateBackups who became winners

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Draw Performance Indicators

IndicatorGoodWarningCritical
Entry Goal Met> 100%50-100%< 50%
Winner Confirmation> 90%70-90%< 70%
Forfeit Rate< 10%10-25%> 25%

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Auction Analytics

Caption: Auction analytics track bidding activity and price progression

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Auction-Specific Metrics

MetricDescription
Total BidsNumber of bids placed
Unique BiddersDistinct participants
Bid TimelineWhen bids were placed
Price ProgressionHow the price changed
Reserve MetWhether reserve was reached
Final PriceWinning bid amount

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Auction Performance Indicators

IndicatorGoodWarningCritical
Bidder Count> 103-10< 3
Bids Per Bidder> 31-31
Reserve MetYesCloseNo
Final vs. Expected> 100%75-100%< 75%

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Appointment Analytics

Caption: Appointment analytics show booking patterns and slot utilization

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Appointment-Specific Metrics

MetricDescription
Booking RateSlots booked vs. available
Popular TimesMost requested time slots
Lead TimeHow far ahead people book
Cancellation RateBookings that were cancelled
No-Show RateConsumers who didn’t arrive
Reschedule RateBookings that were changed

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Appointment Performance Indicators

IndicatorGoodWarningCritical
Utilization> 80%50-80%< 50%
No-Show Rate< 5%5-15%> 15%
Cancellation Rate< 10%10-20%> 20%

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Analytics Dashboard Features

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Time Period Selection

View analytics for different time ranges:
  • Last 24 hours
  • Last 7 days
  • Last 30 days
  • Last 90 days
  • Custom range
Caption: Select different time periods to analyze trends

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Auto-Refresh

Enable auto-refresh to see real-time updates:
  • Toggle auto-refresh on/off
  • 30-second refresh interval
  • Manual refresh available

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View Toggle

Switch between analytics views:
  • Channel Attribution - Traffic sources and conversion paths
  • Audience Segmentation - Metrics by audience segment

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Exporting Data

Export analytics for further analysis:
  1. Navigate to the analytics view
  2. Click Export or download icon
  3. Choose format (CSV, Excel)
  4. Select date range
  5. Download the file
Caption: Export analytics data for offline analysis

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Available Exports

ExportContents
SummaryHigh-level metrics
EntriesAll entry records
TimelineTime-series data
Full DetailComplete data dump

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Interpreting Results

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Identifying Issues

Use analytics to spot problems:
SymptomPossible CauseSolution
Low entriesPoor promotionIncrease marketing
High drop-offComplex processSimplify checkout
High timeoutShort windowIncrease timeout
Low conversionTechnical issuesCheck error logs

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Benchmarking

Compare your results to benchmarks:
MetricPoorAverageGoodExcellent
Entry Rate< 50/hr50-200/hr200-500/hr> 500/hr
Completion< 50%50-70%70-85%> 85%
Engagement< 2 min2-5 min5-10 min> 10 min

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Trend Analysis

Look for patterns over time:
  • Growing - More entries/completions each experience
  • Stable - Consistent performance
  • Declining - Investigate causes

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Real-Time Monitoring

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During Active Experiences

Monitor these in real-time:
  • Current entry count
  • Processing rate
  • Error rate
  • Queue length (for queues)

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Alert Thresholds

Set up alerts for:
  • Entry rate drops suddenly
  • Error rate exceeds threshold
  • Inventory running low
  • Processing delays

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Best Practices

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Before Launch

  1. Set goals - Define success metrics
  2. Establish baselines - Know what good looks like
  3. Configure alerts - Get notified of issues

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During Experience

  1. Monitor frequently - Check every 15-30 minutes
  2. React quickly - Address issues immediately
  3. Document observations - Note anything unusual

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After Completion

  1. Review thoroughly - Analyze all metrics
  2. Compare to goals - Did you meet targets?
  3. Document learnings - Record insights
  4. Plan improvements - Apply to future experiences