Low-assumption model
5% scan rate, 1% text usage, 4% sponsor CTR, 10% reward claim rate.
600,000 x 5% = 30,000 Tap activations
30,000 x 65% = 19,500 guided journeys
19,500 x 2.1 = 40,950 sponsor impressions
The right planning story combines official city and venue facts with clearly labeled modeled assumptions. That makes the deck credible, the dashboard configurable, and the sponsor story financially legible.
Storyboard motion reference A staged from the supplied source file.
Storyboard motion reference B staged from the supplied source file.
| Language | Priority | Why it matters |
|---|---|---|
| English | Tier 1 | Default host-city and broad international coverage |
| Spanish | Tier 1 | Spain and wider visitor usability |
| Arabic | Tier 1 | Saudi Arabia and Morocco |
| French | Tier 1 | Morocco, Haiti, and broader visitor utility |
| Portuguese | Tier 1 | Cabo Verde is Lusophone |
| Japanese / Korean | Tier 2 | White-label reuse and international traveler support |
5% scan rate, 1% text usage, 4% sponsor CTR, 10% reward claim rate.
600,000 x 5% = 30,000 Tap activations
30,000 x 65% = 19,500 guided journeys
19,500 x 2.1 = 40,950 sponsor impressions
10% scan rate, 2% text usage, 8% sponsor CTR, 15% reward claim rate.
600,000 x 10% = 60,000 Tap activations
60,000 x 70% = 42,000 guided journeys
42,000 x 2.4 = 100,800 sponsor impressions
15% scan rate, 3% text usage, 12% sponsor CTR, 20% reward claim rate.
600,000 x 15% = 90,000 Tap activations
90,000 x 75% = 67,500 guided journeys
67,500 x 2.8 = 189,000 sponsor impressions
TAFIP = Total Atlanta Visitors + Total Gross Match Attendances
Tap_Activations = Gross Exposure x Scan_Rate
Text_Users = Gross Exposure x Text_Rate
Journey_Sessions = Tap_Activations x Route_Start_Rate
Sponsor_Impressions = Guided_Sessions x Avg_Sponsor_Surfaces_Per_Session
Sponsor_Engagements = Sponsor_Impressions x CTR
Reward_Claims = Engaged_Users x Reward_Claim_Rate
Projected_Revenue = CPM + CPC + CPA + Fixed Sponsor Packages
Minutes_Saved = (Avg_Time_Without_System - Avg_Time_With_System) x Successful_Sessions
Fan_Experience_Score = weighted utility index
TAFIP low = 225,000 + 600,000 = 825,000
TAFIP high = 300,000 + 600,000 = 900,000
This is interaction opportunity, not unique people. That distinction keeps the model honest.