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MODEL 3/Y �POST-IRA ANALYSIS

Sharvary Joshi

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RESEARCH OBJECTIVE

Investigate how federal tax policy changes impact consumer purchasing behavior and market dynamics in the electric vehicle sector, using Tesla Model 3 and Model Y as case studies.

Analytical Framework:

  • Monte Carlo Simulation Modeling - Developed probabilistic forecasting model to capture market uncertainty
  • Consumer Survey Research - Designed and prototyped customer research instrument to validate behavioral assumptions and inform post-incentive marketing strategies
  • Behavioral Economics Analysis - Quantified consumer "pull-forward" behavior and price elasticity responses
  • Policy Impact Assessment - Evaluated effects of $7,500 IRA tax credit expiration on quarterly demand patterns
  • Model Mix Dynamics - Analyzed differential price sensitivity between premium (Model Y) and mainstream (Model 3) segment

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WHAT HAPPENS ONCE IRA EXPIRE ? 

  • $7,500 credit expires
  • Price of Model 3/Y goes up substantially
  • So buyers are rushing to make purchases in Q3
  • Q4 sales will crash due to price pressure + pull forward effect

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FORECASTS

  • Baseline forecasts (per mock data) if IRA never expired

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  • Monte-Carlo simulation to forecast Q4 data based on the following parameters/scenarios
    • Pull forward rate – centered around 20-25%
    • Price elasticity – M3 (1.4), MY (1.25)
    • Mix in model Shift – Model Y gains 2-4% share

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FORECASTS (W/ PRICE CUTS)

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  • Monte-Carlo simulation to forecast Q4 data based on the following parameters
    • Pull forward rate – centered around 20-25%
    • Price elasticity – M3 (1.4), MY (1.25)
    • Mix in model Shift – Model Y gains 2-4% share
    • Tesla Price Cuts – $0 to $7,500 (mode=$3,500)

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SURVEY (7 QUESTIONS, <5 MINUTES)

  • Among your peers, being the first to own an EV is (very important/somewhat important/not important) [social identity theory]
  • What price feels 'normal' for a Model 3/Y to you? ($ range slider) [anchoring]
  • How much does seeing EVs in your neighborhood influence your interest? (Range 1-5) [social proof]
  • When you imagine the tax credit disappearing, what's your immediate gut reaction? (fear, urgency, relief, indifference) [emotional journey]
  • If you knew tax credits would end in 3 months vs. 3 weeks, how would your timeline change? (no rush, still place order, would shop around more) [loss aversion + temporal discounting]
  • Would you rather save $7,500 on the car or get $10,000 worth of benefits ? (yes/no/not sure) [mental accounting to see what consumer values more price OR value ?]
  • Complete this sentence: 'People who drive Tesla's are ____ : (tech savvy, show offs, environment conscious, just normal people) [Brand Association]

Sample Survey - https://form.typeform.com/to/mIEZgekv

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DEPLOYMENT STRATEGY

Target Audience (Impact framing: "Shape the future of sustainable transport" ) [n ~ 3000]

    • Primary: Tesla prospects who haven't purchased yet (most affected by tax credit removal)
    • Secondary: Recent Tesla buyers (understand what drove their decision)
    • Tertiary: Non-EV owners considering electric (competitive intelligence)

Deployment Channels (High-Impact, Low-Cost Intercepts)

    • Supercharger stations: Survey EV-curious people during 20-30 min charging waits (at peak hours)
    • Tesla service centers: Quick surveys while customers wait for appointments
    • Auto shows/EV meetups: Guerrilla research at existing events
    • Shopping mall charging stations: Capture broader EV consideration set
    • Test drive follow-ups: QR codes on test drive paperwork for immediate feedback
    • Delivery moment surveys: Capture fresh buyers at peak emotional state

Incentives

    • Supercharger credit raffle: $500 in charging credits (10 winners)
    • Tesla Referral Program boost: Extra referral credits toward rewards
    • Tesla merchandise bundle raffle : Limited edition gear not sold publicly

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THANK YOU

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APPENDIX

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ELASTICITY ?

  • Elasticity is the responsiveness of one variable to changes in another—typically the percent change in quantity demanded or supplied for a 1% change in price.
  • Norwegian BEV coefficient (-1.27) provides the best empirical baseline
  • Model 3: -1.3 to -1.5 (more elastic due to more direct competitors)
  • Model Y: -1.2 to -1.3 (slightly less elastic due to SUV premium positioning)
  • Ref - https://etrr.springeropen.com/articles/10.1186/s12544-020-00454-2

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QUARTERLY COEFFICIENTS AND BASE FORECAST?

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HOW SURVEY REFINES THE FORECAST MODEL?

  • Price Anchoring Question → Elasticity Parameters : If people anchor at lower prices, elasticity might be higher (more sensitive)
  • Timeline Psychology Questions → Pull-Forward Rate & Urgency Multiplier: If most people show "indifference," your decline scenarios might be too severe. If most show "fear/urgency," your pull-forward effects might be too conservative
  • Mental Accounting Preferences → [NEW] Incentive Effectiveness Weights: Could inform alternative incentive scenarios beyond just price cuts, Some customers respond better to financing deals, others to direct discounts

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MONTEL CARLO SIMULATION W/O TESLA PRICE CUTS

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MONTEL CARLO SIMULATION WITH TESLA PRICE CUTS

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COMPETITOR ANALYSIS

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CONSUMERS DON’T BUY CARS, THEY BUY MONTHLY PAYMENYS

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Offer higher value (frontloaded for the initial year :

  1. Free FSD (1 to 3yr)
  2. Free Supercharging (1 to 2yr)
  3. Special APR promos
  4. Special price cuts
  5. Increase financial attractiveness against competitors

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INSIGHTS

  • Tesla manufactures and sells the highest cars with highest margins compared to other EV brands
  • Other EV companies are not the competition - to increase sales Tesla needs to compete with gasoline brands like –
    • Mass market: Honda, Toyota, Nissan, Chevrolet, Kia
    • Entry level premium market: Lexus, Acura, BMW, Mercedes
  • Tesla competes on technology and brand

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