Recently, a respected industry conference issued a call for papers. This mini-presentation on producing a forecast for online sales for 2010 was not accepted.
However, there's no reason why you can't benefit from this simple application of Multichannel Forensics!
Please download this brief and easy-to-follow online sales forecasting pdf, suitable for CEOs, Marketing Executives, and especially for Web Analytics experts looking to broaden their skills in a way that is useful to the Executive Team.
Download Here, NOW!!
Helping CEOs Understand How Customers Interact With Advertising, Products, Brands, and Channels
Subscribe to:
Post Comments (Atom)
Summer Schedule
As usual, my summer schedule will dial back just a bit ... maybe three posts per week instead of five, sometimes four, sometimes more. And y...
-
It is time to find a few smart individuals in the world of e-mail analytics and data mining! And honestly, what follows is a dataset that y...
-
Sometimes you think "people already know this stuff". Sometimes you realize that Google Analytics give smart analysts almost no op...
-
If you want to understand why clients don't trust vendors and trade journalists, read this little peach from a week ago: Direct Mail is ...
Thanks again, Kevin, for providing insight and a user-friendly approach to basic analytics. So if forecasting is this easy, what's your take on what the economy will be doing the remainder of this year?? :)
ReplyDeleteThanks Kevin,
ReplyDeletethis looks really useful. I will be most interested to run the numbers for our business.
Cheers
Hi Sally, thanks for the message. I wish forecasting the economy was easy. It has to improve, the collapse and the election last fall caused big trouble. I can't imagine things being worse than that.
ReplyDeleteDerek, thank you, let me know what you learn if it can be shared.
how did you calculate the 325k lapsed customers in 2010?
ReplyDeleteOn page 4, you have 300,000 lapsed customers, 90% did not purchase. 300,000 * 0.90 = 270,000.
ReplyDeleteOn page 4, you have 100,000 existing customers, 55% did not purchase. 100,000 * 0.55 = 55,000.
270,000 lapsed customers not purchasing plus 55,000 existing customers not purchasing yields 325,000 lapsed customers in 2010!