Sales Revenue Forecast Model

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    Forecast total sales revenue based on pipeline value, deal size, and conversion rates.

    NOTEAbout This Model
    ## Forecast total sales revenue based on pipeline value, deal size, and conversion rates. This model estimates **Forecasted Revenue** based on uncertain inputs: Pipeline Value, Conversion Rate, Average Deal Size. Run the simulation to see the distribution of possible outcomes.
    VARIABLEPipeline Value
    triangular(1.0e+5, 5.5e+5, 1.0e+6)
    Total dollar value of all open opportunities in the CRM.
    pipeline_value
    VARIABLEAverage Deal Size
    triangular(5000, 1.5e+4, 2.5e+4)
    The typical value of a single closed contract.
    average_deal_size
    VARIABLEConversion Rate
    beta(3, 17)
    Historical probability of a pipeline opportunity closing successfully (5% to 25%).
    conversion_rate
    FORMULAEstimated Deals
    (pipeline_value / average_deal_size) * conversion_rate
    Number of estimated wins based on total pipeline divided by average deal size, multiplied by conversion probability.
    estimated_deals
    FORMULAForecasted Revenue
    estimated_deals * average_deal_size
    Total forecasted sales revenue.
    forecasted_revenue
    OUTPUTForecasted Revenue
    forecasted_revenue
    Forecasted total revenue based on deal pipeline and win rates. The distribution captures uncertainty in close rates and deal sizes, helping set realistic targets.

    What is Carlo?

    Carlo is a visual tool for Monte Carlo simulation. Model uncertainty by dragging probability distributions, connecting them visually, and running thousands of scenarios instantly.

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