Overview
Last 7 days
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Total Spend
All Platforms
Ticket Sales
Base Ticket Revenue
Service Fees
TS Buyer Fees
Gross Total
Ticket Sales + Fees
ROAS
Revenue ÷ Spend (TS)
—
Target: 6.5x
CPA
Spend ÷ Purchases
Target: $35
Google Conv
Conversions · Value
FB Conv
Purchases · Value
Avg Order
Revenue ÷ Orders
Next Show
—
Days away
Campaign window
Sunday Sales Pattern
Historical orders by hour · All Sundays
All Sundays — Revenue History
Each Sunday · Revenue · Tickets · vs Ad Spend
Website Traffic
GA4 Direct · Sessions, Users & TicketSpice Cross-Domain
Sessions
Website visits · GA4
Unique Visitors
Active users · GA4
TicketSpice Sessions
Cross-domain visitors
Site → TS Rate
% of visitors to checkout
TS → Purchase Rate
% of TS visitors who buy
Overall Conv Rate
Sessions → Purchase
Facebook · Instagram · TikTok · Google · Organic · Conv Rate
Sessions & conversion rate by channel · GA4
AI Platform Traffic
ChatGPT · Perplexity · Claude · Gemini · Copilot · All time
Decision Alerts
Based on live data
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Ad Spend vs Revenue
Ad spend (bars) · Ticket revenue $ (line)
Daily Clicks vs Unique Orders
Clicks (bars) · Unique orders (lime line)
Campaign Breakdown
FB + Google Ads · Spend and clicks by campaign
Campaign
Source
Spend
Clicks
Conv
CPC
Decision Rules
Your scaling and pausing playbook
Scale Budget When
VIP-POST CPA below $35 for 3+ days
Retargeting ROAS above 4x
Friday or Saturday with strong morning signal
Max 20-30% increase at a time
Wait 3-4 days between increases
Pull Budget When
VIP-POST CPA above $40 sustained
Retargeting frequency above 3.5
ROAS drops below 3x on any campaign
Tuesday/Wednesday low-intent windows
Audience Network spend detected
Ad Schedule
Sunday: Ads on 9AM — off 10:30PM
Friday: Ads on 6AM — off 10:30PM
Saturday: Ads on 7AM — off 10:30PM
Mon-Thu: Ads on 3PM — off 10:30PM
MTR Following: Always on 24/7
Creative Refresh When
CTR drops below 1.5% on VIP-POST
CPA increases 30%+ week over week
Same ad running 10+ days to same audience
Retargeting frequency hits 4+
New creative: add alongside, never replace winner
Audience Growth
Last 30 days · via Metricool
Show Pacing
3,500 per show · 2 shows (1-day) = 7,000 · 3 shows (2-day) = 10,500
Sales Timing
Top 12 buying windows · All-time
Lowest Performing Windows
Bottom 12 buying windows · All-time
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📂 Upload CSV above to unlock 1PM / 6:30PM timeslot breakdown — live API does not include show time data
Total Tickets
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Completed sales
Gross Revenue
—
Ticket Total
Avg Ticket
—
Revenue ÷ Tickets
Unique Orders
—
Distinct Order IDs
Daily Ticket Sales
Tickets sold per day · Completed only
Event / Date / Timeslot
Tickets
Revenue
Avg Ticket
Show Expenses
Select a show · Manual entry · Saved per show
MTR Show App
All-time · G-B553SKRE08
→
Total App Sessions
page_view events
New Fans
first_visit events
Tab Interactions
tab_selected events
Driver Profile Views
driver_profile_viewed
Notification Opt-Ins
notification_opted_in
Total Votes Cast
0
vote_cast events
🏁 Will populate at Georgetown · Apr 18
MTR Club Signups
0
mtr_club_signup_success
🏁 Will populate at Georgetown · Apr 18
Driver Photo Uploads
driver_photo_uploaded
User Engagements
user_engagement events
Scroll Events
scroll events
Season Projections
Live data · All shows
Show P&L
Revenue vs cost coverage · $20K/show · Green = profitable
1 · 3 · 5 Year Forecast
Based on 2026 season performance
Ad Efficiency Benchmarks
Georgetown actuals vs targets for future shows
Additional Revenue
Select a show · Manual entry · Add custom lines