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Marketing a Marketing Software
Over the years I have had handfuls friends and family ask me the question “What exactly do you do at Aprimo?” When I was still pretty new I would just reply “I do marketing for a marketing software company”. This usually led to either confusion or laughter because marketing a marketing software sounded funny when you would repeat it out loud. I too would laugh, but deep down it was bothersome because I wasn’t getting the correct message across about my job or the company’s product.
As time passed I became more familiarized with our solutions and began creating scenarios or situations to explain to those same individuals how our software was used in organizations today. However, I quickly was put in my place when trying to describe our Email Marketing solution. I started off explaining how our software can be used to create an email template, allows you to create the email content, gives you the ability to send that email, track if it was opened, automatically send another email in response to what links were opened or not opened, and then “score” that person on their actions for future marketing campaigns or messaging, but unfortunately my friend just replied “so you are the one sending me spam!”. I had failed at getting the right message across and in return I was placed in a category that no marketing person or organization wants to be referred to.
So as I read the article “Ten Steps to Effective Email Marketing”, I can’t help but to remember those times and the struggles I originally had getting my message across. I encourage you to download this free white paper and see if you can gather some additional tips and techniques in your own messaging and email marketing efforts.










Some data mining applications will automatically do this for you. It's like a bread machine where you put in all the ingredients -- they automatically get mixed, the bread rises, bakes, and is ready for consumption! Some notable companies that do this include KXEN, SAS, and SPSS. Even if you take the automated approach, it's helpful to understand what kinds of things are done to the data prior to model building.
