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Let's say you're the sales manager for a company that makes flatware,
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say using renewable products like bamboo,
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and you've been asked to forecast the sales for the company.
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Your sales team has several accounts which offer opportunities to make a sales deals,
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and you're trying to forecast your sales metrics for the next year.
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Account refers to the companies where you provide your products in bulk.
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You're not selling to the individual customer here,
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but rather to the company that will buy the products in bulk.
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Now, let's go over sales forecast example using a bottom-up approach.
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This is the more common approach and it comes from the sales file historical data.
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We start with having one row for each person in our sales team.
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So, in the model,
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we are trying to understand for each person in our sales team,
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which account is this opportunity with?
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How many units is this opportunity likely to create a booking for or sale?
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Based on how long the sales contract would be for,
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what are the sales that we would generate if
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these units were sold each month in the contract term?
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That provides us with our bookings forecast.
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In column F, we can go one step further and we can
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ask how likely is the probability of a win for this opportunity?
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Based on that probability,
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we can calculate the weighted bookings forecast.
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