All language subtitles for 9 - L2 09 Sales Forecasting Model V1 V1 - lang_en

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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:04,250 --> 00:00:07,785 We will next focus on Sales Forecasting. 2 00:00:07,785 --> 00:00:11,295 We will go through an example of forecasting sales bookings 3 00:00:11,295 --> 00:00:15,600 using both the bottom-up approach and the top-down approach. 4 00:00:15,600 --> 00:00:17,385 In the bottom-up approach, 5 00:00:17,385 --> 00:00:21,150 you will see how historical data is used for forecasting. 6 00:00:21,150 --> 00:00:22,935 In the top-down approach, 7 00:00:22,935 --> 00:00:25,739 you will use assumptions about Santa RAM, 8 00:00:25,739 --> 00:00:28,335 that influences sales productivity, 9 00:00:28,335 --> 00:00:31,095 and in turn, the projected bookings. 10 00:00:31,095 --> 00:00:34,800 Though there are many ways to implement each of these approaches, 11 00:00:34,800 --> 00:00:37,829 the examples here, will provide a foundation 12 00:00:37,829 --> 00:00:41,125 for extending these practices to new examples. 13 00:00:41,125 --> 00:00:43,640 I've provided additional resources below 14 00:00:43,640 --> 00:00:47,465 the videos for you to see other examples of sale forecast. 15 00:00:47,465 --> 00:00:52,225 Before we begin, let's take a moment to revisit the sales funnel. 16 00:00:52,225 --> 00:00:57,890 As you remember, the sales metrics are tracking the conversions from prospects into 17 00:00:57,890 --> 00:01:03,320 leads and then turning these leads into qualified leads and finally, 18 00:01:03,320 --> 00:01:07,310 we hope to win or close the deals and increase our sales bookings. 19 00:01:07,310 --> 00:01:12,100 Now, let's go over a sales forecast using a bottom-up approach. 20 00:01:12,100 --> 00:01:17,970 This is the more common approach and it comes from the sales funnel historical data 1751

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