Experience Analytics - Fanfare Documentation

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.

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

Common Metrics

These metrics apply to all experience types:

Entry Metrics

Metric	Description	Good Indicator
Total Entries	Number of consumers who entered	Higher is generally better
Entry Rate	Entries per hour/day	Consistent or growing
Unique Entrants	Distinct consumers	Higher conversion
Repeat Attempts	Consumers who tried multiple times	Interest level

Conversion Metrics

Metric	Description	Benchmark
Completion Rate	Entries that completed successfully	70-90% for queues
Drop-off Rate	Entries that didn’t complete	Under 30%
Timeout Rate	Entries that expired	Under 10%

Engagement Metrics

Metric	Description
Time in Experience	Average duration of participation
Page Views	Total views of experience pages
Return Visits	Consumers who came back

Queue Analytics

Caption: Queue analytics show position distribution and completion rates

Queue-Specific Metrics

Metric	Description	What It Tells You
Current Queue Length	Active consumers waiting	Current demand
Average Wait Time	Time from entry to service	Consumer experience
Processing Rate	Consumers served per hour	Throughput
Position Distribution	Where consumers are in queue	Bottlenecks

Queue Funnel

Track consumers through the queue stages:

Entered - Joined the queue
Waiting - Currently in line
At Front - Ready to checkout
Completed - Successfully purchased
Dropped - Left without completing

Caption: The funnel shows where consumers drop off in the queue process

Queue Performance Indicators

Indicator	Good	Warning	Critical
Completion Rate	> 80%	60-80%	< 60%
Average Wait	< 30 min	30-60 min	> 60 min
Timeout Rate	< 5%	5-15%	> 15%

Draw Analytics

Caption: Draw analytics track entry patterns and winner outcomes

Draw-Specific Metrics

Metric	Description
Entry Timeline	When entries were submitted
Entry Sources	Where entries came from
Winner Confirmation Rate	Winners who confirmed
Forfeit Rate	Winners who didn’t claim
Alternate Promotion Rate	Backups who became winners

Draw Performance Indicators

Indicator	Good	Warning	Critical
Entry Goal Met	> 100%	50-100%	< 50%
Winner Confirmation	> 90%	70-90%	< 70%
Forfeit Rate	< 10%	10-25%	> 25%

Auction Analytics

Caption: Auction analytics track bidding activity and price progression

Auction-Specific Metrics

Metric	Description
Total Bids	Number of bids placed
Unique Bidders	Distinct participants
Bid Timeline	When bids were placed
Price Progression	How the price changed
Reserve Met	Whether reserve was reached
Final Price	Winning bid amount

Auction Performance Indicators

Indicator	Good	Warning	Critical
Bidder Count	> 10	3-10	< 3
Bids Per Bidder	> 3	1-3	1
Reserve Met	Yes	Close	No
Final vs. Expected	> 100%	75-100%	< 75%

Appointment Analytics

Caption: Appointment analytics show booking patterns and slot utilization

Appointment-Specific Metrics

Metric	Description
Booking Rate	Slots booked vs. available
Popular Times	Most requested time slots
Lead Time	How far ahead people book
Cancellation Rate	Bookings that were cancelled
No-Show Rate	Consumers who didn’t arrive
Reschedule Rate	Bookings that were changed

Appointment Performance Indicators

Indicator	Good	Warning	Critical
Utilization	> 80%	50-80%	< 50%
No-Show Rate	< 5%	5-15%	> 15%
Cancellation Rate	< 10%	10-20%	> 20%

Analytics Dashboard Features

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

Auto-Refresh

Enable auto-refresh to see real-time updates:

Toggle auto-refresh on/off
30-second refresh interval
Manual refresh available

View Toggle

Switch between analytics views:

Channel Attribution - Traffic sources and conversion paths
Audience Segmentation - Metrics by audience segment

Exporting Data

Export analytics for further analysis:

Navigate to the analytics view
Click Export or download icon
Choose format (CSV, Excel)
Select date range
Download the file

Caption: Export analytics data for offline analysis

Available Exports

Export	Contents
Summary	High-level metrics
Entries	All entry records
Timeline	Time-series data
Full Detail	Complete data dump

Interpreting Results

Identifying Issues

Use analytics to spot problems:

Symptom	Possible Cause	Solution
Low entries	Poor promotion	Increase marketing
High drop-off	Complex process	Simplify checkout
High timeout	Short window	Increase timeout
Low conversion	Technical issues	Check error logs

Benchmarking

Compare your results to benchmarks:

Metric	Poor	Average	Good	Excellent
Entry Rate	< 50/hr	50-200/hr	200-500/hr	> 500/hr
Completion	< 50%	50-70%	70-85%	> 85%
Engagement	< 2 min	2-5 min	5-10 min	> 10 min

Trend Analysis

Look for patterns over time:

Growing - More entries/completions each experience
Stable - Consistent performance
Declining - Investigate causes

Real-Time Monitoring

During Active Experiences

Monitor these in real-time:

Current entry count
Processing rate
Error rate
Queue length (for queues)

Alert Thresholds

Set up alerts for:

Entry rate drops suddenly
Error rate exceeds threshold
Inventory running low
Processing delays

Best Practices

Before Launch

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

During Experience

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

After Completion

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

Dashboard Overview - Main analytics dashboard
Experience Schedule - Understanding derived timing
Analytics Dashboard - Organization-wide analytics

​Analytics Overview

​Common Metrics

​Entry Metrics

​Conversion Metrics

​Engagement Metrics

​Queue Analytics

​Queue-Specific Metrics

​Queue Funnel

​Queue Performance Indicators

​Draw Analytics

​Draw-Specific Metrics

​Draw Performance Indicators

​Auction Analytics

​Auction-Specific Metrics

​Auction Performance Indicators

​Appointment Analytics

​Appointment-Specific Metrics

​Appointment Performance Indicators

​Analytics Dashboard Features

​Time Period Selection

​Auto-Refresh

​View Toggle

​Exporting Data

​Available Exports

​Interpreting Results

​Identifying Issues

​Benchmarking

​Trend Analysis

​Real-Time Monitoring

​During Active Experiences

​Alert Thresholds

​Best Practices

​Before Launch

​During Experience

​After Completion

​Related Guides