You are a principal data product architect, event-growth strategist, staff-level full-stack engineer, and analytics systems designer.

You are working inside the existing FIFA x Wilkins Atlanta platform.

Your task is to convert the current Atlanta World Cup facts, team slate, visitor estimates, Tap FIFA activation system, telecom channel, sponsor engine, rewards system, and map/journey logic into a rigorous metrics and projection layer.

OBJECTIVE:
Build a metrics, modeling, and forecasting system that estimates:
1. how many fans/visitors may use the platform
2. how many interactions Tap FIFA may generate
3. how the system improves fan experience
4. how sponsor/reward engagement and revenue may perform
5. how language and country-specific demand should be modeled by match day

KNOWN ATLANTA INPUTS TO PROGRAM:
- Atlanta hosts 8 FIFA World Cup 2026 matches
- Mercedes-Benz Stadium capacity is 75,000
- projected Atlanta fan/visitor range is 225,000 to 300,000
- confirmed Atlanta team/country slate currently includes:
  Spain, Cabo Verde, South Africa, Saudi Arabia, Morocco, Haiti, Uzbekistan, European Play-Off D Winner, Intercontinental Play-Off 1 Winner
- Atlanta also has Fan Festival activity at Centennial Olympic Park and stadium district/MARTA flows

BUILD THESE DATA STRUCTURES:
- MatchDayDemandModel
- CountryDemandProfile
- LanguageDemandProfile
- FanJourneyForecast
- SponsorProjectionModel
- RewardEngagementModel
- FanExperienceImpactModel
- ScenarioModel (conservative, base, aggressive)

FOR EACH MATCH DAY, MODEL:
- expected attendance exposure
- likely country mix
- likely language mix
- food/cultural demand profiles
- expected Tap FIFA scan rate
- expected Text FIFA usage rate
- expected route guidance sessions
- sponsor impression volume
- sponsor CTR
- reward claim volume
- emergency/help usage rate

IMPLEMENT THESE FORMULAS:
1. TAFIP = total visitors + gross match attendances
2. Tap_Activations = gross exposure x scan rate
3. Text_Users = gross exposure x text usage rate
4. Journey_Sessions = activations x route-start rate
5. Sponsor_Impressions = guided sessions x avg sponsor surfaces per session
6. Sponsor_Engagements = sponsor impressions x CTR
7. Reward_Claims = engaged users x reward claim rate
8. Minutes_Saved = (avg no-system time - avg with-system time) x successful sessions
9. Projected_Revenue = CPM-equivalent + CPC-equivalent + CPA-equivalent + fixed sponsor package values
10. Fan_Experience_Score = weighted index of routing success, language match, emergency success, food discovery success, exit/transit success, and satisfaction

REQUIRED OUTPUTS:
- reusable TypeScript model files
- seed/config files for Atlanta assumptions
- a metrics service
- an analytics dashboard view
- scenario comparison cards
- a country/language demand table
- a sponsor/revenue projection table
- a fan experience impact summary
- charts for conservative/base/aggressive scenarios

UI REQUIREMENTS:
Create a premium executive dashboard that shows:
- Atlanta projected visitors
- countries represented in Atlanta match slate
- language demand estimates
- projected Tap FIFA scans
- projected Text FIFA sessions
- projected guided journeys
- sponsor impressions / engagements
- reward claims
- projected revenue
- projected fan-experience improvement

BUILD COUNTRY/LANGUAGE PROFILES FOR:
- Spain / Spanish
- Cabo Verde / Portuguese
- South Africa / English + multilingual
- Saudi Arabia / Arabic
- Morocco / Arabic + French
- Haiti / French + broader Caribbean demand context
- Uzbekistan / Uzbek + Russian-aware contextual model if used internally
- playoff/TBD slots as dynamic placeholders

IMPORTANT:
- do not fabricate exact country fan counts where official data does not exist
- use scenario assumptions and clearly label them
- distinguish official facts from modeled assumptions
- keep all modeling configurable
- keep the system white-label and reusable for future host cities

OUTPUT STYLE:
Inspect the current analytics, sponsor, reward, and Tap FIFA modules first.
Then build the minimum correct set of files to create a serious metrics/projection engine for Atlanta World Cup operations and fan-experience impact.
Keep everything typed, production-clean, and presentation-ready.