anyone have a good method of forecasting revenue based on pipeline data?

likefunny
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Hi Amy!

likefunny

Time Series if you have all periods.

Regression if you make the assumption the relationship is linear.

Exponentential smoothing if there is no trend, ciclicality or seasonality.

Holt's model if there is a trend

Winter's model if there is trend, and seasonality

Autoregressive Model, if you don't have all the context but you are reasonably convinced there is a pattern in the data.

...and many more

Good luck, Amy!

likefunny

Thanks! You are way smarter than this Amy. 😉 I have my homework cut out for me.

I believe in you, Amy!

like

Omg is this my Amy?? U got this!!

like

Something like a sales funnel

Y’all talking about amy feirn?

In my industry (cloud/IT solutions) we have a historical 35% close rate, and pipeline is usually clean/right-sized by the 2nd week of the qtr. But this sales pipeline yields bookings (not revenues). If you are forecasting future quarter bookings, you have to account for both new pipeline generation as well as pipeline already in that qtr but will get shifted to other qtrs (sometimes earlier, sometimes later). It’s definitely tricky, but hopefully you can find historical close rates to get a starting point.

Sm1: can you hook me up on a cloud project .?

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